Tootfinder

Dense Video Captioning using Graph-based Sentence Summarization
Zhiwang Zhang, Dong Xu, Wanli Ouyang, Luping Zhou
https://arxiv.org/abs/2506.20583 https://…

Dense Video Captioning using Graph-based Sentence Summarization
Recently, dense video captioning has made attractive progress in detecting and captioning all events in a long untrimmed video. Despite promising results were achieved, most existing methods do not sufficiently explore the scene evolution within an event temporal proposal for captioning, and therefore perform less satisfactorily when the scenes and objects change over a relatively long proposal. To address this problem, we propose a graph-based partition-and-summarization (GPaS) framework for d…

Operator with the Kato property on Banach spaces
Mar Jim\'enez Sevilla, Sebasti\'an Lajara L\'opez, Miguel \'Angel Ruiz Risue\~no
https://arxiv.org/abs/2506.21264 …

Operator with the Kato property on Banach spaces
We consider a class of bounded linear operators between Banach spaces, which we call operators with the Kato property, that includes the family of strictly singular operators between those spaces. We show that if $T:E\to F$ is a dense-range operator with that property and $E$ has a separable quotient, then for each proper dense operator range $R\subset E$ there exists a closed subspace $X\subset E$ such that $E/X$ is separable, $T(X)$ is dense in $F$ and $R+X$ is infinite-codimensional. If $E^*…

Deux agressions sur la route en deux semaines, dont une où le conducteur est sorti de sa caisse pour qu'on se tape, parce qu'il a trouvé que ne pas démarrer pied au plancher après un feu était inacceptable, et un poids lourd lancé Š 100km/h a deux centimètres et demi de mon pare-choc arrière, pleins phares et klaxonant, alors que le trafic était hyper dense et la voiture devant moi Š 50 mètres. Deux hommes, BTW.
C'est moi ou la conso de CBD devrait devenir obligatoire avan…

High resolution ALMA observations of H$_2$S in LIRGS (Dense gas and shocks in outflows and CNDs)
M. T. Sato, S. Aalto, S. K\"onig, K. Kohno, S. Viti, M. Gorski, F. Combes, S. Garc\'ia-Burillo, N. Harada, P. van der Werf, J. Otter, S. Muller, Y. Nishimura, J. S. Gallagher, A. S. Evans, K. M. Dasyra, J. K. Kotilainen
https://

High resolution ALMA observations of H$_2$S in LIRGS (Dense gas and shocks in outflows and CNDs)
Molecular gas plays a critical role in regulating star formation and nuclear activity in galaxies. Sulphur bearing molecules, such as H2S, are sensitive to the physical and chemical environments in which they reside and are potential tracers of shocked, dense gas in galactic outflows and active galactic nuclei (AGN). We aim to investigate the origin of H2S emission and its relation to dense gas and outflow activity in the central regions of nearby infrared luminous galaxies. We present ALMA Ban…

Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT
Mihailo Stojnic
https://arxiv.org/abs/2506.19276 https…

Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT
We study classical asymmetric binary perceptron (ABP) and associated \emph{local entropy} (LE) as potential source of its algorithmic hardness. Isolation of \emph{typical} ABP solutions in SAT phase seemingly suggests a universal algorithmic hardness. Paradoxically, efficient algorithms do exist even for constraint densities $α$ fairly close but at a finite distance (\emph{computational gap}) from the capacity. In recent years, existence of rare large dense clusters and magical ability of fast…

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization
Zhiwang Zhang, Dong Xu, Wanli Ouyang, Chuanqi Tan
https://arxiv.org/abs/2506.20567

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization
In this work, we propose a division-and-summarization (DaS) framework for dense video captioning. After partitioning each untrimmed long video as multiple event proposals, where each event proposal consists of a set of short video segments, we extract visual feature (e.g., C3D feature) from each segment and use the existing image/video captioning approach to generate one sentence description for this segment. Considering that the generated sentences contain rich semantic descriptions about the …

Effect of Haptic Feedback on Avoidance Behavior and Visual Exploration in Dynamic VR Pedestrian Environment
Kyosuke Ishibashi, Atsushi Saito, Zin Y. Tun, Lucas Ray, Megan C. Coram, Akihiro Sakurai, Allison M. Okamura, Ko Yamamoto
https://arxiv.org/abs/2506.20952

Effect of Haptic Feedback on Avoidance Behavior and Visual Exploration in Dynamic VR Pedestrian Environment
Human crowd simulation in virtual reality (VR) is a powerful tool with potential applications including emergency evacuation training and assessment of building layout. While haptic feedback in VR enhances immersive experience, its effect on walking behavior in dense and dynamic pedestrian flows is unknown. Through a user study, we investigated how haptic feedback changes user walking motion in crowded pedestrian flows in VR. The results indicate that haptic feedback changed users' collision av…

Utility-Driven Speculative Decoding for Mixture-of-Experts
Anish Saxena, Po-An Tsai, Hritvik Taneja, Aamer Jaleel, Moinuddin Qureshi
https://arxiv.org/abs/2506.20675

Utility-Driven Speculative Decoding for Mixture-of-Experts
GPU memory bandwidth is the main bottleneck for low-latency Large Language Model (LLM) inference. Speculative decoding leverages idle GPU compute by using a lightweight drafter to propose K tokens, which the LLM verifies in parallel, boosting token throughput. In conventional dense LLMs, all model weights are fetched each iteration, so speculation adds no latency overhead. Emerging Mixture of Experts (MoE) models activate only a subset of weights per token, greatly reducing data movement. Howev…

Join Kevin Liang at this year's Berlin Buzzwords, where he will discuss how Apache Solr/Lucene builds dense vector indexes and talk about how he and his team optimised their dense vector setup, sharing the challenges they faced and the best practices they learned along the way.
Learn more: https…

Close Hyperbolic Encounters In f(R) Gravity
Jenna Bruton, Peter Dunsby, Alvaro de la Cruz-Dombriz
https://arxiv.org/abs/2506.20787 https://

Close Hyperbolic Encounters In f(R) Gravity
We explore the dynamics and gravitational-wave emission from black hole pairs on unbound orbits undergoing close hyperbolic encounters (CHEs) in dense astrophysical environments. While General Relativity predicts gravitational Bremsstrahlung radiation occurring at periastron, the contribution of the scalar gravitational-wave mode in fully general f(R) gravity remains largely unexplored. We characterize the f(R) scalar mode gravitational radiation for both non-precessing and precessing hyperboli…

Revela: Dense Retriever Learning via Language Modeling
Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Sherry Tongshuang Wu, Iryna Gurevych, Heinz Koeppl
https://arxiv.org/abs/2506.16552

Revela: Dense Retriever Learning via Language Modeling
Dense retrievers play a vital role in accessing external and specialized knowledge to augment language models (LMs). Training dense retrievers typically requires annotated query-document pairs, which are costly and hard to obtain in specialized domains such as code-motivating growing interest in self-supervised retriever learning. Since LMs are trained to capture token-level dependencies through a self-supervised learning objective (i.e., next-token prediction), we can analogously cast retrieva…

A Sampling-Based Adaptive Rank Approach to the Wigner-Poisson System
Andrew Christlieb, Sining Gong, Jing-Mei Qiu, Nanyi Zheng
https://arxiv.org/abs/2506.21314

A Sampling-Based Adaptive Rank Approach to the Wigner-Poisson System
We develop a mass-conserving, adaptive-rank solver for the 1D1V Wigner-Poisson system. Our work is motivated by applications to the study of the stopping power of $α$ particles at the National Ignition Facility (NIF). In this regime, electrons are in a warm dense state, requiring more than a standard kinetic model. They are hot enough to neglect Pauli exclusion, yet quantum enough to require accounting for uncertainty. The Wigner-Poisson system captures these effects but presents challenges du…

Structural stability and generic transitions of "incompressible" line fields on surfaces
Tomoo Yokoyama
https://arxiv.org/abs/2506.21062 https://…

Structural stability and generic transitions of "incompressible" line fields on surfaces
Various line fields naturally arise on surfaces in both physical and biological contexts, and generic singularities frequently appear in the form of 1-prong (thorn-like) and 3-prong (tripod-like) configurations, which can be modeled by partial differential equations with specific parameter values. However, it remains open under which topologies such line fields are structurally stable and form an open dense subset. In this paper, we propose a new topological framework for describing line fields…

Modeling active nematics via the nematic locking principle
Kevin A. Mitchell, Md Mainul Hasan Sabbir, Sean Ricarte, Brandon Klein, Daniel A. Beller
https://arxiv.org/abs/2506.20996

Modeling active nematics via the nematic locking principle
Active nematic systems consist of rod-like internally driven subunits that interact with one another to form large-scale coherent flows. They are important examples of far-from-equilibrium fluids, which exhibit a wealth of nonlinear behavior. This includes active turbulence, in which topological defects braid around one another in a chaotic fashion. One of the most studied examples of active nematics is a dense two-dimensional layer of microtubules, crosslinked by kinesin molecular motors that …

Hey! We just came back from a nice afterwork cycling.
Currently we do an hour of easy cycling every day.
Especially after work it really a blessing.
As I'm STILL behind with the recent trips I just browsed the archives for some beautiful memories of a hike last year.
This trail doesn't offer epic vistas but the trail itself is just a gem.
The blog:

Probing Equatorial Ionospheric TEC at Sub-GHz Frequencies with Wide-Band (B4) uGMRT Interferometric Data
Dipanjan Banerjee, Abhik Ghosh, Sushanta K Mondal, Parimal Ghosh
https://arxiv.org/abs/2506.20690

Probing Equatorial Ionospheric TEC at Sub-GHz Frequencies with Wide-Band (B4) uGMRT Interferometric Data
Phase stability at low radio frequencies is severely impacted by ionospheric propagation delays. Radio interferometers such as the Giant Metrewave Radio Telescope (GMRT) are capable of detecting changes in the ionosphere's total electron content (TEC) over larger spatial scales and with greater sensitivity compared to conventional tools like the Global Navigation Satellite System (GNSS). Thanks to its unique design featuring both a dense central array and long outer arms-and its strategic locat…

Coherent and Noncoherent Detection in Dense Arrays: Can We Ignore Mutual Coupling?
Aniol Mart\'i, Luca Sanguinetti, Jaume Riba, Meritxell Lamarca
https://arxiv.org/abs/2506.19470

Coherent and Noncoherent Detection in Dense Arrays: Can We Ignore Mutual Coupling?
This paper investigates the impact of mutual coupling on MIMO systems with densely deployed antennas. Leveraging multiport communication theory, we analyze both coherent and noncoherent detection approaches in a single-user uplink scenario where the receiver ignores mutual coupling effects. Simulation results indicate that while coherent detection is generally more accurate, it is highly sensitive to mismatches in the coupling model, leading to severe performance degradation when antennas are c…

(x-post FB, original post at https://www.facebook.com/wesarkitsap/posts/pfbid02S2z7MXFpJaAvePFYEEC9EuhX8dzgGkVMYmKooRsW5XnV7DQwhN3wfm16K7i1f1ZVl)
Our Suquamish subject was safely located and extracted! …

Novel Phases of a Baryon-Dense QCD-like Theory
Yang Bai, Carlos Henrique de Lima, Daniel Stolarski
https://arxiv.org/abs/2506.18964 https://

Novel Phases of a Baryon-Dense QCD-like Theory
We investigate the phases of a strongly coupled QCD-like theory at finite baryon chemical potential using s-confining supersymmetric QCD deformed by anomaly-mediated supersymmetry breaking. Focusing on the case of three colors and four flavors, we identify novel phases including spontaneous breaking of baryon number and/or parity. Both first-order and second-order phase transitions are observed as the baryon chemical potential is varied. These findings may offer insights into possible phases of…

Park Discovery V 🏞️
公园探险 V 🏞️
📷 Nikon FE
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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The MALATANG survey: Dense gas distribution on sub-kiloparsec scales across the disk of M82
Jian-Fa Wang, Yu Gao, Xue-Jian Jiang, Li Ji, Zhi-Yu Zhang, Jun-Zhi Wang, Jun-Feng Wang, R. Thomas Greve, Yan Jiang, Ashley Bemis, Elias Brinks, Aeree Chung, J. Malcolm Currie, Richard de Grijs, Taotao Fang, C. Luis Ho, Bumhyun Lee, Satoki Matsushita, Micha{\l} Micha{\l}owski, Soojong Pak, Panomporn Poojon, G. Mark Rawlings, Amelie Saintonge, Yi-Chen Sun, Jing Zhou

The MALATANG survey: Dense gas distribution on sub-kiloparsec scales across the disk of M82
We present observations of HCN J=4-3 and HCO^+ J=4-3 lines obtained with the James Clerk Maxwell Telescope as part of the MALATANG survey, combined with archival HCN J=1-0 and HCO^+ J=1-0 data from the Green Bank Telescope, to study the spatial distribution and excitation conditions of dense molecular gas in the disk of M82. We detect HCN J=4-3 and HCO^+ J=4-3 emission within the central region (< 500 pc) of the galaxy, while the J=1-0 emission lines exhibit a more extended spatial distribution…

"Despite good-faith efforts by DSI [dense street imagery] providers to protect individual privacy through blurring faces and license plates, these measures fail to address broader privacy concerns. In this work, we find that increased data density and advancements in artificial intelligence enable harmful group membership inferences from supposedly anonymized data."
via @…

Privacy of Groups in Dense Street Imagery
Spatially and temporally dense street imagery (DSI) datasets have grown unbounded. In 2024, individual companies possessed around 3 trillion unique images of public streets. DSI data streams are only set to grow as companies like Lyft and Waymo use DSI to train autonomous vehicle algorithms and analyze collisions. Academic researchers leverage DSI to explore novel approaches to urban analysis. Despite good-faith efforts by DSI providers to protect individual privacy through blurring faces and l…

Three-dimensional equation of state extension of quark matter in Fermi-liquid theory
Zhenyu Zhu, Shuai Zha, Sophia Han
https://arxiv.org/abs/2506.17569 htt…

Three-dimensional equation of state extension of quark matter in Fermi-liquid theory
The cold, dense matter equation of state (EoS) determines crucial global properties of neutron stars (NSs), including the mass, radius and tidal deformability. However, a one-dimensional (1D), cold, and $β$-equilibrated EoS is insufficient to fully describe the interactions or capture the dynamical processes of dense matter as realized in binary neutron star (BNS) mergers or core-collapse supernovae (CCSNe), where thermal and out-of-equilibrium effects play important roles. We develop a method…

Can Mixture-of-Experts Surpass Dense LLMs Under Strictly Equal Resources?
Houyi Li, Ka Man Lo, Ziqi Wang, Zili Wang, Wenzhen Zheng, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang
https://arxiv.org/abs/2506.12119

Can Mixture-of-Experts Surpass Dense LLMs Under Strictly Equal Resources?
Mixture-of-Experts (MoE) language models dramatically expand model capacity and achieve remarkable performance without increasing per-token compute. However, can MoEs surpass dense architectures under strictly equal resource constraints - that is, when the total parameter count, training compute, and data budget are identical? This question remains under-explored despite its significant practical value and potential. In this paper, we propose a novel perspective and methodological framework to …

New results on universal Taylor series via weighted polynomial approximation
St\'ephane Charpentier (I2M), Konstantinos Maronikolakis
https://arxiv.org/abs/2506.20224

New results on universal Taylor series via weighted polynomial approximation
We use weighted polynomial approximation to prove the existence of a compact set K with non-empty interior and a function f is dense in the space A(K) of all continuous functions on K that are holomorphic in the interior of K, endowed with the sup norm, while the set This improves a result of Mouze. The main ideas of the proof also allows us to construct a holomorphic function while the modulus of its non-zero Taylor coecients go to $\infty$. In passing, we complement a result by Pritsker a…

Automorphism groups of measures on the Cantor space. Part II: Abstract homogeneous measures
Piotr Niemiec
https://arxiv.org/abs/2506.20797 https://

Automorphism groups of measures on the Cantor space. Part II: Abstract homogeneous measures
The main aim of the paper is to introduce a new class of (semigroup-valued) measures that are ultrahomogeneous on the Boolean algebra of all clopen subsets of the Cantor space and to study their automorphism groups. A characterisation, in terms of the so-called trinary spectrum of a measure, of ultrahomogeneous measures such that the action of their automorphism groups is (topologically) transitive or minimal is given. Also sufficient and necessary conditions for the existence of a dense (or co…

US Senate Moves To Expand Nondairy Milk Access In Schools #plantbased

US Senate Moves To Expand Nondairy Milk Access In Schools
The US Senate has advanced provisions to increase the accessibility of nutrient-dense, non-dairy milk options in schools

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
Jushaan Singh Kalra, Xinran Zhao, To Eun Kim, Fengyu Cai, Fernando Diaz, Tongshuang Wu
https://arxiv.org/abs/2506.15862

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
Retrieval-augmented Generation (RAG) is powerful, but its effectiveness hinges on which retrievers we use and how. Different retrievers offer distinct, often complementary signals: BM25 captures lexical matches; dense retrievers, semantic similarity. Yet in practice, we typically fix a single retriever based on heuristics, which fails to generalize across diverse information needs. Can we dynamically select and integrate multiple retrievers for each individual query, without the need for manual…

Crossing numbers of dense graphs on surfaces
Alfredo Hubard, Arnaud de Mesmay, Hugo Parlier
https://arxiv.org/abs/2506.09974 https://…

Crossing numbers of dense graphs on surfaces
In this paper, we provide upper and lower bounds on the crossing numbers of dense graphs on surfaces, which match up to constant factors. First, we prove that if $G$ is a dense enough graph with $m$ edges and $Σ$ is a surface of genus $g$, then any drawing of $G$ on $Σ$ incurs at least $Ω\left(\frac{m^2}{g} \log ^2 g\right)$ crossings. The poly-logarithmic factor in this lower bound is new even in the case of complete graphs and disproves a conjecture of Shahrokhi, Székely and Vrt'o from 19…

Natura Urbana 🏡
城市自然 🏡
📷 Pentax MX
🎞️Ilford FP4 Plus, expired 1995
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle
Jagadeswara PKV Pothuri, Aditya Bhatt, Prajit KrisshnaKumar, Manaswin Oddiraju, Souma Chowdhury
https://arxiv.org/abs/2506.18264

Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle
Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Ground based tracking requires setting up infrastructure, could be range limited, and may not be feasible in remote areas, crowded cities or in dense vegetation areas. Vision based active tracking of aerial objects from another airborne vehicle, e.g., a chaser unmanned aerial vehicle (UAV), promises to fill this important …

CORMO-RAN: Lossless Migration of xApps in O-RAN
Antonio Calagna, Stefano Maxenti, Leonardo Bonati, Salvatore D'Oro, Tommaso Melodia, Carla Fabiana Chiasserini
https://arxiv.org/abs/2506.19760

CORMO-RAN: Lossless Migration of xApps in O-RAN
Open Radio Access Network (RAN) is a key paradigm to attain unprecedented flexibility of the RAN via disaggregation and Artificial Intelligence (AI)-based applications called xApps. In dense areas with many active RAN nodes, compute resources are engineered to support potentially hundreds of xApps monitoring and controlling the RAN to achieve operator's intents. However, such resources might become underutilized during low-traffic periods, where most cells are sleeping and, given the reduced RA…

Hochplatte and Geiselstein, last night.
(In the 2nd image, Zugspitze appearing like a mirage in the far back haze...)
#ForestFriday #LandscapePhotography #Photography

ALMA Observations of Molecular Complexity in the Large Magellanic Cloud: Probing the Star-forming Region N160
Amanda Broadmeadow (University of Maryland College Park), Marta Sewi{\l}o (NASA Goddard Space Flight Center,University of Maryland College Park), Lee Mundy (University of Maryland College Park), Roya Hamedani Golshan (I. Physikalisches Institut der Universit\"at zu K\"oln), Kazuki Tokuda (Kyushu University,Kagawa University), Thomas M\"oller (I. Physikalisches In…

ALMA Observations of Molecular Complexity in the Large Magellanic Cloud: Probing the Star-forming Region N160
Hot cores are small ($\lesssim$0.1 pc), dense ($\geq$10$^6$ cm$^{-3}$), and hot ($>$100 K) regions around massive protostars and are one of the main production sites of complex organic molecules (COMs, $\geq6$ atoms, including carbon). The Large Magellanic Cloud (LMC) is an ideal place to study hot core and COM formation in an environment that is different from our Galaxy, though prior to this study there have only been nine detections of extragalactic hot cores (seven in the LMC and two in the…

Hey, I'm still behind with photos and videos, so I'm sharing one from one of my recent hikes again.
Getting up at 5am wasn't - well - my preferred time to get up at the weekend, but it was worth getting up! The reward was a full day in the beautiful mountains.
https://www.franzgraf…

A systematic characterisation of canopy density based on turbulent-structure penetration
Zishen Chen, Ricardo Garc\'ia-Mayoral
https://arxiv.org/abs/2506.19223

A systematic characterisation of canopy density based on turbulent-structure penetration
Turbulent flows over canopies of rigid elements with different geometries and Reynolds numbers (Re) are investigated to identify and characterise different canopy density regimes. In the sparse regime, turbulence penetrates relatively unhindered within the canopy, whereas in the dense regime, the penetration is limited. A common measure of canopy density is the ratio of frontal to bed area, the frontal density $λ_f$. This is effective for canopies with no preferential orientation, but we obser…

Pointwise-relatively-compact subgroups and trivial-weight-free representations
Alexandru Chirvasitu
https://arxiv.org/abs/2506.18861 https://

Pointwise-relatively-compact subgroups and trivial-weight-free representations
A pointwise-elliptic subset of a topological group is one whose elements all generate relatively-compact subgroups. A connected locally compact group has a dense pointwise-elliptic subgroup if and only if it is an extension by a compact normal subgroup of a semidirect product $\mathbb{L}\rtimes \mathbb{K}$ with connected, simply-connected Lie $\mathbb{L}$, compact Lie $\mathbb{K}$, with the commutator subgroup $\mathbb{K}'$ acting on the Lie algebra $Lie(\mathbb{L})$ with no trivial weights. Th…

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
Ama Bandara, Abhijit Das, Fatima Rodriguez-Galan, Eduard Alarcon, Sergi Abadal
https://arxiv.org/abs/2506.19487

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
As chiplet-based integration and many-core architectures become the norm in high-performance computing, on-chip wireless communication has emerged as a compelling alternative to traditional interconnects. However, scalable Medium Access Control (MAC) remains a fundamental challenge, particularly under dense traffic and limited spectral resources. This paper presents TRMAC, a novel cross-layer MAC protocol that exploits the spatial focusing capability of Time Reversal (TR) to enable multiple par…

Complexity of sparse polynomial solving 3: Infinity
Gregorio Malajovich
https://arxiv.org/abs/2506.17086 https://arxiv.org/pdf/2506.1…

Complexity of sparse polynomial solving 3: Infinity
A theory of numerical path-following in toric varieties was suggested in two previous papers. The motivation is solving systems of polynomials with real or complex coefficients. When those polynomials are not assumed `dense', solving them over projective space or complex space may introduce spurious, degenerate roots or components.Spurious roots may be avoided by solving over toric varieties. In this paper, a homotopy algorithm is locally defined on charts of the toric variety. Its complexity…

Dense Phenomena for Ergodic Schr\"odinger Operators: I. Spectrum, Integrated Density of States, and Lyapunov Exponent
Artur Avila (Universit\"at Z\"urich,IMPA), David Damanik (Rice University)
https://arxiv.org/abs/2506.14259

Dense Phenomena for Ergodic Schrödinger Operators: I. Spectrum, Integrated Density of States, and Lyapunov Exponent
We consider Schrödinger operators in $\ell^2(\Z)$ whose potentials are defined via continuous sampling along the orbits of a homeomorphism on a compact metric space. We show that for each non-atomic ergodic measure $μ$, there is a dense set of sampling functions such that the associated almost sure spectrum has finitely many gaps, the integrated density is smooth, and the Lyapunov exponent is smooth and positive. As a byproduct we answer a question of Walters about the existence of non-unifor…

Chiral non-Abelian domain walls in dense QCD
Sven Bjarke Gudnason, Muneto Nitta
https://arxiv.org/abs/2506.08819 https://arxiv.org/pd…

Chiral non-Abelian domain walls in dense QCD
In this paper, we study chiral non-Abelian domain walls in a phase of unconventional vacua of dense QCD. The phase is characterized by asymmetric vacuum-expectation values (VEVs), for example with the left scalar field, corresponding to the left quark-quark condensate, having a nonvanishing VEV and the right field having a vanishing one. The domain wall soliton interpolates between this vacuum and another where the left and right scalar fields switch roles. We contemplate that such vacua could …

This https://arxiv.org/abs/2501.06898 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The $κ$-Fréchet-Urysohn property for $C_p(X)$ is equivalent to Baireness of $B_1(X)$
A topological space $X$ is Baire if the intersection of any sequence of open dense subsets of $X$ is dense in $X$. We establish that the property $(κ)$ for a Tychonoff space $X$ is equivalent to Baireness of $B_1(X)$ and, hence, the Banakh property for $C_p(X)$ is equivalent to meagerness of $B_1(X)$. Thus, we obtain one characteristic of the Banakh property for $C_p(X)$ through the property of space $X$.

Natura Urbana 🏡
城市自然 🏡
📷 Pentax MX
🎞️Ilford FP4 Plus, expired 1995
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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Probing Obscured Star Formation in Galaxy Clusters Using JWST Medium Band Images: 3.3$\mu\rm m$ PAH Emitter Sample in Abell 2744
Cheng Cheng, Xin Wang, Piaoran Liang, Fengwu Sun, Edo Ibar, Malte Brinch, Haojing Yan, Jia-Sheng Huang, Jun Li, Juan Molina
https://arxiv.org/abs/2506.21320

Probing Obscured Star Formation in Galaxy Clusters Using JWST Medium Band Images: 3.3$μ\rm m$ PAH Emitter Sample in Abell 2744
Star-forming galaxies in galaxy clusters play a crucial role in understanding the advanced stages of galaxy evolution within dense environments. We present a sample of 3.3$μ$m PAH-bright galaxies in the Abell 2744 (A2744) galaxy cluster. Using F430M medium band images, we select PAH emitters in the galaxy cluster, which capture the 3.3$μ$m PAH emission at the redshift of A2744. Our multi-wavelength study demonstrates consistent star formation rates (SFRs) derived from PAH emission and SED fit…

Eccentricity, extendable choice and descending distributive forcing
Calliope Ryan-Smith
https://arxiv.org/abs/2506.11607 https://arxi…

Eccentricity, extendable choice and descending distributive forcing
We introduce the forcing property of descending distributivity. A forcing $\mathbb{P}$ is $κ$-descending distributive if for all decreasing sequences $(D_α)_{α<κ}$ of open dense sets, $\bigcap_αD_α$ is open dense. This generalises the informal idea that $\mathbb{P}$ doesn't affect much on the scale of $κ$, such as if $\mathbb{P}$ is $κ$-distributive or if $κ> \lvert \mathbb{P} \rvert$. For example, a $κ$-descending distributive forcing will not change the cofinality of $κ$ or introdu…

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
Eunhyuk Park, Seok-Hwan Park, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
https://arxiv.org/abs/2506.19090

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
As the dense deployment of access points (APs) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems presents significant challenges, per-AP coverage can be expanded using large-scale antenna arrays (LAAs). However, this approach incurs high implementation costs and substantial fronthaul demands due to the need for dedicated RF chains for all antennas. To address these challenges, we propose a hybrid beamforming framework that integrates wave-domain beamforming via stacked inte…

At this year's Berlin Buzzwords, join Evgeniya Sukhodolskaya as she presents miniCOIL—a novel approach to creating a sparse neural retrieval model. This model aims to combine the advantages of dense and lexical retrieval methods while avoiding their drawbacks. Evgeniya will explain how to design and train a lightweight model that performs well on out-of-domain data and will demonstrate its capabilities.
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Kaon structure modifications in strange hadronic matter
Manpreet Kaur, Abi Jebarson A, Dhananjay Singh, Navpreet Kaur, Suneel Dutt, Harleen Dahiya, Arvind Kumar
https://arxiv.org/abs/2506.19347

Kaon structure modifications in strange hadronic matter
We present the valence quark distributions of the kaons in an isospin asymmetric dense strange medium consisting of nucleons and hyperons. The comparative analysis of in-medium parton distribution functions, electromagnetic form factors, and charge densities with respect to the free space distributions is studied in the light-cone quark model. The medium effects are incorporated in these distribution functions by using the effective quark masses, computed from the chiral SU(3) quark mean field …

Properties and microscopic structures of dense stellar matter in RMF models
Jia-Xing Niu, Hao Sun, Cheng-Jun Xia, Toshiki Maruyama
https://arxiv.org/abs/2506.11492

Properties and microscopic structures of dense stellar matter in RMF models
Data tables on the equation of state (EOS) and microscopic structures for cold dense stellar matter with proton fractions $Y_p =0.01$-$0.65$ and baryon number densities $n_\text{b}=10^{-8}$-$2 \ \mathrm{fm}^{-3}$ are obtained adopting 13 different relativistic density functionals, i.e., NL3, PK1, PK1r, GM1, MTVTC, DD-LZ1, PKDD, DD-ME2, TW99, DD-MEX, DD-MEX1, DD-MEX2, and DD-MEY. The EOSs of dense stellar matter inside neutron stars with baryon number densities $n_\text{b}=7.6\times 10^{-11}$-$2…

BLADE: An Automated Framework for Classifying Light Curves from the Center for Near-Earth Object Studies (CNEOS) Fireball Database
Elizabeth A. Silber, Vedant Sawal
https://arxiv.org/abs/2506.16099

BLADE: An Automated Framework for Classifying Light Curves from the Center for Near-Earth Object Studies (CNEOS) Fireball Database
Fireballs (bolides) are high-energy luminous phenomena produced when meteoroids and small asteroids enter Earth's atmosphere at hypersonic speeds, often resulting in fragmentation or complete disintegration accompanied by significant energy release. The resulting bolide light curves capture temporal brightness variations as these objects traverse increasingly dense atmospheric layers, providing essential information on meteoroid entry dynamics, fragmentation behavior, and atmospheric energy dep…

Weekend #Plankton Factoid 🦠🦐
Plankton is fundamental to the functioning of aquatic #ecosystems. An example was seen in the 2013 deaths of #Florida bottlenose dolphins. Dense harmful phytoplankton

Dirichlet-type spaces of the unit bidisc and toral completely hyperexpansive operators
Santu Bera
https://arxiv.org/abs/2506.20143 https://

Dirichlet-type spaces of the unit bidisc and toral completely hyperexpansive operators
We discuss a notion, originally introduced by Aleman in one variable, of Dirichlet-type space $\mathcal D(μ_1,μ_2)$ on the unit bidisc $\mathbb D^2,$ with superharmonic weights related to finite positive Borel measures $μ_1,μ_2$ on $\overline{\mathbb D}.$ The multiplication operators $\mathscr M_{z_1}$ and $\mathscr M_{z_2}$ by the coordinate functions $z_1$ and $z_2,$ respectively, are bounded on $\mathcal D(μ_1,μ_2)$ and the set of polynomials is dense in $\mathcal D(μ_1,μ_2).$ We sho…

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Narayan Kandel, Daljit Singh J. S. Dhillon
https://arxiv.org/abs/2506.15815 https://

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Structural coloration is commonly modeled using wave optics for reliable and photorealistic rendering of natural, quasi-periodic and complex nanostructures. Such models often rely on dense, preliminary or preprocessed data to accurately capture the nuanced variations in diffractive surface reflectances. This heavy data dependency warrants implicit neural representation which has not been addressed comprehensively in the current literature. In this paper, we present a multi-layer perceptron (MLP…

Dense Associative Memory in a Nonlinear Optical Hopfield Neural Network
Khalid Musa, Santosh Kumar, Michael Katidis, Yu-Ping Huang
https://arxiv.org/abs/2506.07849

Dense Associative Memory in a Nonlinear Optical Hopfield Neural Network
Modern Hopfield Neural Networks (HNNs), also known as Dense Associative Memories (DAMs), enhance the performance of simple recurrent neural networks by leveraging the nonlinearities in their energy functions. They have broad applications in combinatorial optimization, high-capacity memory storage, deep learning transformers, and correlated pattern recognition. Thus far, research on DAMs has been primarily theoretical, with implementations limited to CPUs and GPUs. In this work, for the first ti…

Distributed Butterfly Analysis using Mobile Agents
Prabhat Kumar Chand, Apurba Das, Anisur Rahaman Molla
https://arxiv.org/abs/2506.17721 https://

Distributed Butterfly Analysis using Mobile Agents
Butterflies, or 4-cycles in bipartite graphs, are crucial for identifying cohesive structures and dense subgraphs. While agent-based data mining is gaining prominence, its application to bipartite networks remains relatively unexplored. We propose distributed, agent-based algorithms for \emph{Butterfly Counting} in a bipartite graph $G((A,B),E)$. Agents first determine their respective partitions and collaboratively construct a spanning tree, electing a leader within $O(n \log λ)$ rounds using…

GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM
Annika Thomas, Aneesa Sonawalla, Alex Rose, Jonathan P. How
https://arxiv.org/abs/2506.18885

GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM
3D Gaussian splatting has emerged as an expressive scene representation for RGB-D visual SLAM, but its application to large-scale, multi-agent outdoor environments remains unexplored. Multi-agent Gaussian SLAM is a promising approach to rapid exploration and reconstruction of environments, offering scalable environment representations, but existing approaches are limited to small-scale, indoor environments. To that end, we propose Gaussian Reconstruction via Multi-Agent Dense SLAM, or GRAND-SLA…

Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow
Xiao Wang, Junru Yu, Jun Huang, Qiong Wu, Ljubo Vacic, Changyin Sun
https://arxiv.org/abs/2506.14502

Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow
Despite the recent advancements in artificial intelligence technologies have shown great potential in improving transport efficiency and safety, autonomous vehicles(AVs) still face great challenge of driving in time-varying traffic flow, especially in dense and interactive situations. Meanwhile, human have free wills and usually do not make the same decisions even situate in the exactly same scenarios, leading to the data-driven methods suffer from poor migratability and high search cost proble…

Numerical modeling of isochoric heating experiments using the TROLL code in the warm dense matter regime
S\'ebastien Rassou, Marie Bonneau, Christophe Rousseaux, Xavier Vaisseau, Witold Cayzac, Adrien Denoeud, Fr\'ed\'eric Perez, Tom Beaumont, Morris Demoulins, Jean-Christophe Pain
https://arxiv.org/abs/2506.08912

Numerical modeling of isochoric heating experiments using the TROLL code in the warm dense matter regime
Experiments of isochoric heating by protons of solid material were recently performed at LULI laser facilities. In these experiments, protons, produced from target normal sheath acceleration (TNSA) of Au foil with the PICO2000 laser, deposit their energy into an aluminum or copper foil initially at room temperature and solid density. The heated material reaches the warm dense matter regime with temperature in the rear face of the material between 1 and 5 eV. The temperature is inferred by strea…

Next stop in our NLP timeline is 2013, the introduction of low dimensional dense word vectors - so-called "word embeddings" - based on distributed semantics, as e.g. word2vec by Mikolov et al. from Google, which enabled representation learning on text.
T. Mikolov et al. (2013). Efficient Estimation of Word Representations in Vector Space.
…

Efficient Estimation of Word Representations in Vector Space
We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in accuracy at much lower computational cost, i.e. it takes less than a day to learn high quality word vectors from a 1.6 billion words data set. Fur…

Maryland works to replace parking lots at train stations with dense housing & mixed use development.

Maryland announces $1.25 million in grants for development around rail stations
The announcement comes as Maryland is trying to double down on a bet that transit hubs can help turn the tide on climate and housing affordability issues.

Tuning the Viscosity and Jamming Point in Dense Active non-Brownian Suspensions
Bhanu Prasad Bhowmik
https://arxiv.org/abs/2506.13316 https://

Tuning the Viscosity and Jamming Point in Dense Active non-Brownian Suspensions
Using numerical simulations, we study the rheological response of dense non-Brownian suspensions containing active particles. The active particles are modelled as run-and-tumble particles with three controlling parameters: the fraction of active particles in the system, an active force applied to the particles, and a persistence time after which the direction of the active force changes randomly. Our simulations reveal that the presence of activity can reduce the viscosity (by an order of magni…

Identifying Heterogeneity in Distributed Learning
Zelin Xiao, Jia Gu, Song Xi Chen
https://arxiv.org/abs/2506.16394 https://arxiv.org…

Identifying Heterogeneity in Distributed Learning
We study methods for identifying heterogeneous parameter components in distributed M-estimation with minimal data transmission. One is based on a re-normalized Wald test, which is shown to be consistent as long as the number of distributed data blocks $K$ is of a smaller order of the minimum block sample size {and the level of heterogeneity is dense}. The second one is an extreme contrast test (ECT) based on the difference between the largest and smallest component-wise estimated parameters amo…

Not so dark, not so dense: an alternative explanation for the lensing subhalo in SDSSJ0946 1006
Qiuhan He, Andrew Robertson, James W. Nightingale, Aristeidis Amvrosiadis, Shaun Cole, Carlos S. Frenk, Samuel C. Lange, Shubo Li, Ran Li, Xiaoyue Cao, Leo W. H. Fung, Xianghao Ma, Richard Massey, Kaihao Wang, Maximilian von Wietersheim-Kramsta
https://

Not so dark, not so dense: an alternative explanation for the lensing subhalo in SDSSJ0946+1006
Previous studies of the strong lens system SDSSJ0946+1006 have reported a dark matter subhalo with an unusually high central density, potentially challenging the standard cold dark matter (CDM) paradigm. However, these analyses assumed the subhalo to be completely dark, neglecting the possibility that it may host a faint galaxy. In this work, we revisit the lensing analysis of SDSSJ0946+1006, explicitly modelling the subhalo as a luminous satellite. Incorporating light from the perturber broade…

Mobile Application Review Summarization using Chain of Density Prompting
Shristi Shrestha, Anas Mahmoud
https://arxiv.org/abs/2506.14192 https://

Mobile Application Review Summarization using Chain of Density Prompting
Mobile app users commonly rely on app store ratings and reviews to find apps that suit their needs. However, the sheer volume of reviews available on app stores can lead to information overload, thus impeding users' ability to make informed app selection decisions. To address this challenge, we leverage Large Language Models (LLMs) to summarize mobile app reviews. In particular, we use the Chain of Density (CoD) prompt to guide OpenAI GPT-4 to generate abstractive, semantically dense, and easil…

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Weiliang Chen, Jiayi Bi, Yuanhui Huang, Wenzhao Zheng, Yueqi Duan
https://arxiv.org/abs/2506.10981

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Generative models have gained significant attention in novel view synthesis (NVS) by alleviating the reliance on dense multi-view captures. However, existing methods typically fall into a conventional paradigm, where generative models first complete missing areas in 2D, followed by 3D recovery techniques to reconstruct the scene, which often results in overly smooth surfaces and distorted geometry, as generative models struggle to infer 3D structure solely from RGB data. In this paper, we propo…

On the evolution of the mass density profile of dense molecular clouds
S. Donkov, I. Zh. Stefanov, T. V. Veltchev, R. S. Klessen
https://arxiv.org/abs/2506.16854

On the evolution of the mass density profile of dense molecular clouds
We aim to obtain the equations which govern the evolution of the mass density profile of a dense irrotational molecular cloud (MC). Our study is based on the notion of "ensemble of MCs", introduced in our previous work. The MCs are modeled by use of the "ensemble abstract representative member": a spherically symmetric, isotropic and isothermal MC which accretes radially matter from its surroundings. Applying the equations of hydrodynamics to a self-gravitating isothermal spherical gas cloud, w…

Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
Seongwan Park, Taeklim Kim, Youngjoong Ko
https://arxiv.org/abs/2506.00041

Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
Despite their strong performance, Dense Passage Retrieval (DPR) models suffer from a lack of interpretability. In this work, we propose a novel interpretability framework that leverages Sparse Autoencoders (SAEs) to decompose previously uninterpretable dense embeddings from DPR models into distinct, interpretable latent concepts. We generate natural language descriptions for each latent concept, enabling human interpretations of both the dense embeddings and the query-document similarity scores…

Enhancing semi-resolved CFD-DEM for dilute to dense particle-fluid systems: A point cloud based, two-step mapping strategy via coarse graining
Yuxiang Liu, Lu Jing, Xudong Fu, Huabin Shi
https://arxiv.org/abs/2506.09517

Enhancing semi-resolved CFD-DEM for dilute to dense particle-fluid systems: A point cloud based, two-step mapping strategy via coarse graining
Computational fluid dynamics and discrete element method (CFD-DEM) coupling is an efficient and powerful tool to simulate particle-fluid systems. However, current volume-averaged CFD-DEM relying on direct grid-based mapping between the fluid and particle phases can exhibit a strong dependence on the fluid grid resolution, becoming unstable as particles move across fluid grids, and can fail to capture pore fluid pressure effects in very dense granular systems. Here we propose a two-step mapping …

LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
Majumder Haider, Imtiaz Ahmed, Zoheb Hassan, Kamrul Hasan, H. Vincent Poor
https://arxiv.org/abs/2506.18293

LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
Next-generation (NextG) wireless networks are expected to require intelligent, scalable, and context-aware radio resource management (RRM) to support ultra-dense deployments, diverse service requirements, and dynamic network conditions. Digital twins (DTs) offer a powerful tool for network management by creating high-fidelity virtual replicas that model real-time network behavior, while large language models (LLMs) enhance decision-making through their advanced generalization and contextual rea…

Green Therapy
(an impression from an early morning hike last July)
#ForestFriday #LandscapePhotography #NaturePhotography

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection
Wuyang Li, Zhu Yu, Alexandre Alahi
https://arxiv.org/abs/2506.04623 https://

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection
3D semantic occupancy prediction aims to reconstruct the 3D geometry and semantics of the surrounding environment. With dense voxel labels, prior works typically formulate it as a dense segmentation task, independently classifying each voxel. However, this paradigm neglects critical instance-centric discriminability, leading to instance-level incompleteness and adjacent ambiguities. To address this, we highlight a free lunch of occupancy labels: the voxel-level class label implicitly provides i…

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
C\'ecile Clavaud, Abhinendra Singh
https://arxiv.org/abs/2506.11951

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
In this article, we provide a brief perspective on recent developments in the study of shear thickening in dense suspensions. We give a rapid overview of the state of the art and discuss current models aiming to describe this particular rheology. Although most of the experiments and simulation studies are conducted in "ideal" flows, where the sample is confined without an open boundary condition, we have decided to highlight more realistic flow conditions. We further provide an overview on how …

Nowhere dense competing holes in open dynamical systems
Filippo Ciavattini, T. H. Steele
https://arxiv.org/abs/2506.14027 https://arx…

Nowhere dense competing holes in open dynamical systems
Let $\mathcal{M}$ be a compact metric space with no isolated points, and $f:\mathcal{M}\longrightarrow\mathcal{M}$ a homeomorphism. Consider a sequence of shrinking open balls $\{B^i_n\}_{n\in\mathbb{N}}^{i\in\mathbb{N}}$ with centers $\{p_i\}_{i=1}^\infty\subseteq\mathcal{M}$ and radii $\{ρ^i_n\}_{n=1}^\infty$. For every point $x\in\mathcal{M}$ and $n\in\mathbb{N}$, consider which ball the trajectory $\{x,f(x),f^2(x),\dots\}$ of the point first visits. We find that whenever the closure of $\{…

Properties of the cores and filaments in the Ophiuchus molecular cloud and its L1688 hub-filament system
Bo-Sheng Jia, Guo-Yin Zhang, Alexander Menshchikov, Sami Dib, Jin-Zeng Li, Ke Wang, Di Li, Xue-Mei Li, Zhi-Yuan Ren, Chang Zhang, Nageen Pervaiz, Lin Xiao
https://arxiv.org/abs/2506.20619…

Properties of the cores and filaments in the Ophiuchus molecular cloud and its L1688 hub-filament system
Analyzing filaments and cores in molecular clouds is key to understanding galactic star formation and its environmental dependence. This paper studies the properties and distribution of dense cores and filaments in the Ophiuchus molecular cloud, with a focus on the L1688 hub-filament system (HFS) and its star formation potential. We extracted sources and filaments from Herschel images and a 13.5 arcsec resolution surface density map using the getsf method, identified prestellar cores among the …

Maryland works to replace parking lots at train stations with dense housing & mixed use development.

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Direct Inference of Nuclear Equation-of-State Parameters from Gravitational-Wave Observations
Brendan T. Reed, Cassandra L. Armstrong, Rahul Somasundaram, Collin Capano, Soumi De, Ingo Tews
https://arxiv.org/abs/2506.15984

Direct Inference of Nuclear Equation-of-State Parameters from Gravitational-Wave Observations
The observation of neutron star mergers with gravitational waves (GWs) has provided a new method to constrain the dense-matter equation of state (EOS) and to better understand its nuclear physics. However, inferring nuclear microphysics from GW observations necessitates the sampling of EOS model parameters that serve as input for each EOS used during the GW data analysis. The sampling of the EOS parameters requires solving the Tolman-Oppenheimer-Volkoff (TOV) equations a large number of times -…

Dense matter in a holographic hard-wall model of QCD
Daisuke Fujii, Atsushi Hosaka, Akihiro Iwanaka, Tadakatsu Sakai, Motoi Tachibana
https://arxiv.org/abs/2506.06997

Dense matter in a holographic hard-wall model of QCD
A deeper understanding of QCD matter at strong coupling remains challenging due to its non-perturbative nature. To this end, we study a two-flavor holographic hard-wall model to investigate the properties of QCD at finite-density and zero temperature with a nonvanishing quark mass. A dense matter phase is described by a classical solution of the equations of motion in a homogeneous Ansatz. We apply holographic renormalization to formulate the holographic dictionary that relates UV boundary data…

This https://arxiv.org/abs/2503.01177 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csET_…

Scalable Connectivity for Ising Machines: Dense to Sparse
In recent years, hardware implementations of Ising machines have emerged as a viable alternative to quantum computing for solving hard optimization problems among other applications. Unlike quantum hardware, dense connectivity can be achieved in classical systems. However, we show that dense connectivity leads to severe frequency slowdowns and interconnect congestion scaling unfavorably with system sizes. As a scalable solution, we propose a systematic sparsification method for dense graphs by …

Flying Co-Stereo: Enabling Long-Range Aerial Dense Mapping via Collaborative Stereo Vision of Dynamic-Baseline
Zhaoying Wang, Xingxing Zuo, Wei Dong
https://arxiv.org/abs/2506.00546

Flying Co-Stereo: Enabling Long-Range Aerial Dense Mapping via Collaborative Stereo Vision of Dynamic-Baseline
Lightweight long-range mapping is critical for safe navigation of UAV swarms in large-scale unknown environments. Traditional stereo vision systems with fixed short baselines face limited perception ranges. To address this, we propose Flying Co-Stereo, a cross-agent collaborative stereo vision system that leverages the wide-baseline spatial configuration of two UAVs for long-range dense mapping. Key innovations include: (1) a dual-spectrum visual-inertial-ranging estimator for robust baseline e…

Mechanical inhibition of dissipation in a thermodynamically consistent active solid
Luca Cocconi, Michalis Chatzittofi, Ramin Golestanian
https://arxiv.org/abs/2506.18000

Mechanical inhibition of dissipation in a thermodynamically consistent active solid
The study of active solids offers a window into the mechanics and thermodynamics of dense living matter. A key aspect of the non-equilibrium dynamics of such active systems is a mechanistic description of how the underlying mechano-chemical couplings arise, which cannot be resolved in models that are phenomenologically constructed. Here, we follow a bottom-up theoretical approach to develop a thermodynamically consistent active solid (TCAS) model, and uncover a non-trivial cross-talk that natur…

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eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing
Isaac Shi, Zeyuan Li, Wenli Wang, Lewei He, Yang Yang, Tianyu Shi
https://arxiv.org/abs/2506.16768

eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing
We introduce eSapiens, a unified question-answering system designed for enterprise settings, which bridges structured databases and unstructured textual corpora via a dual-module architecture. The system combines a Text-to-SQL planner with a hybrid Retrieval-Augmented Generation (RAG) pipeline, enabling natural language access to both relational data and free-form documents. To enhance answer faithfulness, the RAG module integrates dense and sparse retrieval, commercial reranking, and a citatio…

GW200208_222617 as an eccentric black-hole binary merger: properties and astrophysical implications
Isobel Romero-Shaw, Jakob Stegmann, Hiromichi Tagawa, Davide Gerosa, Johan Samsing, Nihar Gupte, Stephen R. Green
https://arxiv.org/abs/2506.17105

GW200208_222617 as an eccentric black-hole binary merger: properties and astrophysical implications
Detecting orbital eccentricity in a stellar-mass black-hole merger would point to a non-isolated formation channel. Eccentric binaries can form in dense stellar environments such as globular clusters or active galactic nuclei, or from triple stellar systems in the Galactic field. However, confidently measuring eccentricity is challenging -- short signals from high-mass eccentric mergers can mimic spin-induced precession, making the two effects hard to disentangle. This degeneracy weakens consid…

Solace! Spirit cleansing.
(Incredible light on our morning hike today. So very grateful for these experiences, especially these days... 🙏)
#LandscapePhotography #NaturePhotography #MorningWalk

This https://arxiv.org/abs/2505.20124 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
Videos are unique in their integration of temporal elements, including camera, scene, action, and attribute, along with their dynamic relationships over time. However, existing benchmarks for video understanding often treat these properties separately or narrowly focus on specific aspects, overlooking the holistic nature of video content. To address this, we introduce TUNA, a temporal-oriented benchmark for fine-grained understanding on dense dynamic videos, with two complementary tasks: captio…

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When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
Dayoon Ko, Jinyoung Kim, Sohyeon Kim, Jinhyuk Kim, Jaehoon Lee, Seonghak Song, Minyoung Lee, Gunhee Kim
https://arxiv.org/abs/2506.01877

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
Dense retrievers encode texts into embeddings to efficiently retrieve relevant documents from large databases in response to user queries. However, real-world corpora continually evolve, leading to a shift from the original training distribution of the retriever. Without timely updates or retraining, indexing newly emerging documents can degrade retrieval performance for future queries. Thus, identifying when a dense retriever requires an update is critical for maintaining robust retrieval syst…

BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion
Yuqing Lan, Chenyang Zhu, Zhirui Gao, Jiazhao Zhang, Yihan Cao, Renjiao Yi, Yijie Wang, Kai Xu
https://arxiv.org/abs/2506.15610

BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion
Open-vocabulary 3D object detection has gained significant interest due to its critical applications in autonomous driving and embodied AI. Existing detection methods, whether offline or online, typically rely on dense point cloud reconstruction, which imposes substantial computational overhead and memory constraints, hindering real-time deployment in downstream tasks. To address this, we propose a novel reconstruction-free online framework tailored for memory-efficient and real-time 3D detecti…

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On the Scaling of Robustness and Effectiveness in Dense Retrieval
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
https://arxiv.org/abs/2505.24279 …

On the Scaling of Robustness and Effectiveness in Dense Retrieval
Robustness and Effectiveness are critical aspects of developing dense retrieval models for real-world applications. It is known that there is a trade-off between the two. Recent work has addressed scaling laws of effectiveness in dense retrieval, revealing a power-law relationship between effectiveness and the size of models and data. Does robustness follow scaling laws too? If so, can scaling improve both robustness and effectiveness together, or do they remain locked in a trade-off? To answ…

Dark Bondi Accretion Aided by Baryons and the Origin of JWST Little Red Dots
Wei-Xiang Feng, Hai-Bo Yu, Yi-Ming Zhong
https://arxiv.org/abs/2506.17641 http…

Dark Bondi Accretion Aided by Baryons and the Origin of JWST Little Red Dots
The gravothermal core collapse of self-interacting dark matter halos provides a compelling mechanism for seeding supermassive black holes in the early Universe. In this scenario, a small fraction of a halo, approximately $1\%$ of its mass, collapses into a dense core, which could further evolve into a black hole. We demonstrate that this process can account for the origin of JWST little red dots (LRDs) observed at redshifts $z\sim4-11$, where black holes with masses of $10^7{\rm\,M_\odot}$ can …

Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Kehui Li, Binggui Zhou, Jiajia Guo, Feifei Gao, Guanghua Yang, Shaodan Ma
https://arxiv.org/abs/2506.15136

Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Multi-user millimeter-wave communication relies on narrow beams and dense cell deployments to ensure reliable connectivity. However, tracking optimal beams for multiple mobile users across multiple base stations (BSs) results in significant signaling overhead. Recent works have explored the capability of out-of-band (OOB) modalities in obtaining spatial characteristics of wireless channels and reducing pilot overhead in single-BS single-user/multi-user systems. However, applying OOB modalities …

Jellyfish galaxies with the IllustrisTNG simulations -- Supermassive black hole activity in dense environments with ram-pressure stripped satellites
Shalini Kurinchi-Vendhan, Eric Rohr, Annalisa Pillepich, Elad Zinger, Mohammadreza Ayromlou, Gandhali D. Joshi
https://arxiv.org/abs/2506.05474…

Jellyfish galaxies with the IllustrisTNG simulations -- Supermassive black hole activity in dense environments with ram-pressure stripped satellites
Jellyfish galaxies are extreme examples of how galaxies can transform due to dense environmental effects. These satellite galaxies suffer from ram-pressure stripping, leading to the formation of their distinctive gaseous tails. Some recent observational studies find that jellyfish galaxies are more likely to host active galactic nuclei (AGN) compared to central galaxies of the same mass, suggesting a link between ram pressure and supermassive black hole (SMBH) accretion. We use the IllustrisTNG…

HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval
Arian Askari, Emmanouil Stergiadis, Ilya Gusev, Moran Beladev
https://arxiv.org/abs/2506.07296

HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval
We present HotelMatch-LLM, a multimodal dense retrieval model for the travel domain that enables natural language property search, addressing the limitations of traditional travel search engines which require users to start with a destination and editing search parameters. HotelMatch-LLM features three key innovations: (1) Domain-specific multi-task optimization with three novel retrieval, visual, and language modeling objectives; (2) Asymmetrical dense retrieval architecture combining a small …

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This https://arxiv.org/abs/2502.17057 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
Large language models (LLMs) have demonstrated significant potential in enhancing dense retrieval through query augmentation. However, most existing methods treat the LLM and the retriever as separate modules, overlooking the alignment between generation and ranking objectives. In this work, we propose ExpandR, a unified LLM-augmented dense retrieval framework that jointly optimizes both the LLM and the retriever. ExpandR employs the LLM to generate semantically rich query expansions, which are…

Alley Stories III 🔣
巷弄故事 III 🔣
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Alley Stories III 🔣
巷弄故事 III 🔣
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.