Tootfinder

Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
Klaudia Ropel, Krzysztof Kutt, Luiz do Valle Miranda, Grzegorz J. Nalepa
https://arxiv.org/abs/2506.18069

Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
We developed a proof-of-concept method for the automatic analysis of the structure and content of incunabula pages. A custom dataset comprising 500 annotated pages from five different incunabula was created using resources from the Jagiellonian Digital Library. Each page was manually labeled with five predefined classes: Text, Title, Picture, Table, and Handwriting. Additionally, the publicly available DocLayNet dataset was utilized as supplementary training data. To perform object detection, Y…

$ git soda pop
update: https://git-man-page-generator.lokaltog.net/#c29kYSQkcG9w

Every major US city has a private foundation supporting police,
with more than 250 nationwide, according to a 2021 report by research and activist groups Little Sis and Color of Change.
The foundations have been used to pay for surveillance technologies in cities like Baltimore and Los Angeles -- without being subject to public scrutiny, according to the report.
More than a year after a digital news outlet and a research group sued the Atlanta Police Foundation for alleged…

Characterizing Phishing Pages by JavaScript Capabilities
Aleksandr Nahapetyan, Kanv Khare, Kevin Schwarz, Bradley Reaves, Alexandros Kapravelos
https://arxiv.org/abs/2509.13186 …

Characterizing Phishing Pages by JavaScript Capabilities
In 2024, the Anti-Phishing Work Group identified over one million phishing pages. Phishers achieve this scale by using phishing kits -- ready-to-deploy phishing websites -- to rapidly deploy phishing campaigns with specific data exfiltration, evasion, or mimicry techniques. In contrast, researchers and defenders continue to fight phishing on a page-by-page basis and rely on manual analysis to recognize static features for kit identification. This paper aims to aid researchers and analysts by …

TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2508.13404 …

TASER: Table Agents for Schema-guided Extraction and Recommendation
Real-world financial documents report essential information about an entity's financial holdings that can span millions of different financial instrument types. Yet, these details are often buried in messy, multi-page, fragmented tables - for example, 99.4% of the tables in our dataset have no bounding boxes with the maximum number of rows amounting to 426 per table across 44 pages. To tackle these unique challenges from real-world tables, we present a continuously learning, agentic table extra…

One of the many interesting pages in the Future Energy Scenarios 2025, published today by NESO (🇬🇧 National Energy System Operator).
It focuses on the why, how and what of demand side flexibility.
Key: reward consumers, build trust, automate and smart tariffs.
EV smart charging gateway to more residential flex.
#EV

A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
Kayhan Latifzadeh, Jacek Gwizdka, Luis A. Leiva
https://arxiv.org/abs/2507.08003

A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
We contribute a comprehensive dataset to study user attention and purchasing behavior on Search Engine Result Pages (SERPs). Previous work has relied on mouse movements as a low-cost large-scale behavioral proxy but also has relied on self-reported ground-truth labels, collected at post-task, which can be inaccurate and prone to biases. To address this limitation, we use an eye tracker to construct an objective ground-truth of continuous visual attention. Our dataset comprises 2,776 transaction…

My install instructions for KDE 6 Wayland on FreeBSD have been updated.
First of all I changed the base to KDE and KDE base apps, instead of just a very minimal install. This follows the recommended install by KDE more closely.
Second: the browser of choice has been changed to Vivaldi and I have included a how-to-update the script and make Vivaldi run under FreeBSD.
Which you can apply anywhere on FreeBSD of course ;-)
Thanks to all for the positive feedback!

You can play with (a supercharged server-driven version of it) today with Kitten:
https://kitten.small-web.org/tutorials/dynamic-pages/

Reminder that 97% of the 33,000 pages of the Epstein files supposedly released were previously available. The remaining 3% were giant redacted/blacked out pages.
Nothing new was released:
WHERE ARE THE REST OF THE EPSTEIN FILES?
#trump #epstein

Beyond Token Limits: Assessing Language Model Performance on Long Text Classification
Mikl\'os Seb\H{o}k, Viktor Kov\'acs, Martin B\'an\'oczy, Daniel M{\o}ller Eriksen, Nathalie Neptune, Philippe Roussille
https://arxiv.org/abs/2509.10199

Beyond Token Limits: Assessing Language Model Performance on Long Text Classification
The most widely used large language models in the social sciences (such as BERT, and its derivatives, e.g. RoBERTa) have a limitation on the input text length that they can process to produce predictions. This is a particularly pressing issue for some classification tasks, where the aim is to handle long input texts. One such area deals with laws and draft laws (bills), which can have a length of multiple hundred pages and, therefore, are not particularly amenable for processing with models tha…

"When we say monumental, you had better believe it; the 500 pages of this volume, laid out with astonishing detail (and a very small font size) summarize the history and evolution of computers from 1945 to 1990. Throughout these pages, Waldrop reveals that the backbone, the axis, the arrow, the orientation, the mastermind of all that history was none other than Lick himself: he was the incarnation of the phrase “being at the right place at the right time”."

stanford_web: Webgraph (Stanford)
The web graph of Stanford University (stanford.edu), as collected in 2002. Nodes represent pages and directed edges represent hyperlinks between them.
This network has 281904 nodes and 2312497 edges.
Tags: Informational, Web graph, Unweighted
https://networks.skewed.de/net/s…

Today I'm fixing about a gazillion little issues with our website, mostly for SEO reasons:
- All pages should now have a semantically relevant H1 Tag
- Found the last few page titles that didn't make sense and fixed them
- Our logo had no ALT attribute
- The font in the Survey Chart Tooltips was wrong
- Generally survey charts had wayyy to many decimals
- OpenGraph tags are weird but whatever
Keeping technical debt down is like brushing your teeth…

So I've found my answer after maybe ~30 minutes of effort. First stop was the first search result on Startpage (https://millennialhawk.com/does-poop-have-calories/), which has some evidence of maybe-AI authorship but which is better than a lot of slop. It actually has real links & cites research, so I'll start by looking at the sources.
It claims near the top that poop contains 4.91 kcal per gram (note: 1 kcal = 1 Calorie = 1000 calories, which fact I could find/do trust despite the slop in that search). Now obviously, without a range or mention of an average, this isn't the whole picture, but maybe it's an average to start from? However, the citation link is to a study (https://pubmed.ncbi.nlm.nih.gov/32235930/) which only included 27 people with impaired glucose tolerance and obesity. Might have the cited stat, but it's definitely not a broadly representative one if this is the source. The public abstract does not include the stat cited, and I don't want to pay for the article. I happen to be affiliated with a university library, so I could see if I have access that way, but it's a pain to do and not worth it for this study that I know is too specific. Also most people wouldn't have access that way.
Side note: this doing-the-research protect has the nice benefit of letting you see lots of cool stuff you wouldn't have otherwise. The abstract of this study is pretty cool and I learned a bit about gut microbiome changes from just reading the abstract.
My next move was to look among citations in this article to see if I could find something about calorie content of poop specifically. Luckily the article page had indicators for which citations were free to access. I ended up reading/skimming 2 more articles (a few more interesting facts about gut microbiomes were learned) before finding this article whose introduction has what I'm looking for: https://pmc.ncbi.nlm.nih.gov/articles/PMC3127503/
Here's the relevant paragraph:
"""
The alteration of the energy-balance equation, which is defined by the equilibrium of energy intake and energy expenditure (1–5), leads to weight gain. One less-extensively-studied component of the energy-balance equation is energy loss in stools and urine. Previous studies of healthy adults showed that ≈5% of ingested calories were lost in stools and urine (6). Individuals who consume high-fiber diets exhibit a higher fecal energy loss than individuals who consume low-fiber diets with an equivalent energy content (7, 8). Webb and Annis (9) studied stool energy loss in 4 lean and 4 obese individuals and showed a tendency to lower the fecal energy excretion in obese compared with lean study participants.
"""
And there's a good-enough answer if we do some math, along with links to more in-depth reading if we want them. A Mayo clinic calorie calculator suggests about 2250 Calories per day for me to maintain my weight, I think there's probably a lot of variation in that number, but 5% of that would be very roughly 100 Calories lost in poop per day, so maybe an extremely rough estimate for a range of humans might be 50-200 Calories per day. Interestingly, one of the AI slop pages I found asserted (without citation) 100-200 Calories per day, which kinda checks out. I had no way to trust that number though, and as we saw with the provenance of the 4.91 kcal/gram, it might not be good provenance.
To double-check, I visited this link from the paragraph above: https://www.sciencedirect.com/science/article/abs/pii/S0022316622169853?via=ihub
It's only a 6-person study, but just the abstract has numbers: ~250 kcal/day pooped on a low-fiber diet vs. ~400 kcal/day pooped on a high-fiber diet. That's with intakes of ~2100 and ~2350 kcal respectively, which is close to the number from which I estimated 100 kcal above, so maybe the first estimate from just the 5% number was a bit low.
Glad those numbers were in the abstract, since the full text is paywalled... It's possible this study was also done on some atypical patient group...
Just to come full circle, let's look at that 4.91 kcal/gram number again. A search suggests 14-16 ounces of poop per day is typical, with at least two sources around 14 ounces, or ~400 grams. (AI slop was strong here too, with one including a completely made up table of "studies" that was summarized as 100-200 grams/day). If we believe 400 grams/day of poop, then 4.91 kcal/gram would be almost 2000 kcal/day, which is very clearly ludicrous! So that number was likely some unrelated statistic regurgitated by the AI. I found that number in at least 3 of the slop pages I waded through in my initial search.

We are faced with psychopaths at the helm of our nation's public health, scientific and healthcare efforts.
They want to inflict pain and suffering.
It's a goal, not a by-product
https://skywriter.blue/pages/did:plc:bcen47iol6hccqoufvtk7wt6…

#NPR reports of #Drumpf admin operatives leaving 8 pages of sensitive internal eyes only 👀 #Putin feting itinerary notes behind in #Alaska hotel sparks ridi…

Looks like the above was last updated in November 2024 but links to the HTTP Archive Tech Report for newer data: https://

SERP Interference Network and Its Applications in Search Advertising
Purak Jain, Sandeep Appala
https://arxiv.org/abs/2506.21598 https://

SERP Interference Network and Its Applications in Search Advertising
Search Engine marketing teams in the e-commerce industry manage global search engine traffic to their websites with the aim to optimize long-term profitability by delivering the best possible customer experience on Search Engine Results Pages (SERPs). In order to do so, they need to run continuous and rapid Search Marketing A/B tests to continuously evolve and improve their products. However, unlike typical e-commerce A/B tests that can randomize based on customer identification, their tests fa…

YouTube has dropped its "Trending" pages, in favour of AI recommendations. So now, if YouTube pushes far-right incitement, it's a side-effect of a non-deterministic process and not software humans designed.

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
Nadeen Fathallah, Daniel Hern\'andez, Steffen Staab
https://arxiv.org/abs/2507.19549

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
The vast majority of Web pages fail to comply with established Web accessibility guidelines, excluding a range of users with diverse abilities from interacting with their content. Making Web pages accessible to all users requires dedicated expertise and additional manual efforts from Web page providers. To lower their efforts and promote inclusiveness, we aim to automatically detect and correct Web accessibility violations in HTML code. While previous work has made progress in detecting certain…

Journalist Discovers Google Vulnerability That Allowed People to Disappear Specific Pages From Search https://www.404media.co/journalist-discovers-google-vulnerability-that-allowed-people-to-disappear-specific-pages-fro…

No, #LaborDay is not simply Americans refusing to be like everyone else and celebrate May 1st. If you're looking for something on the holiday's #history in #Canada, Heron and Penfold's "The Workers' Festival&…

The workers' festival : a history of Labour Day in Canada : Heron, Craig : Free Download, Borrow, and Streaming : Internet Archive
1 online resource (xviii, 340 pages) :

I made a repository on #codeberg to document my own #FreshRSS settings to get fulltext feeds of different websites: #RSS

Somebody built a searchable and browsable BYTE magazine archive with all single pages on one single web page. I think, this is a very nice way of visualising a magazine archive. Enjoy: #vintagecomputing

And yes, some of you might know that this greenhouse (with 2 locations) is owned by the Ferragine family and they got a significant amount of free publicity via Frank Ferragine who was a host on the morning show for #CityTV in Toronto.
https://shop.bradfordgreenhouses.com/pages/about-us

@… hi, the repo-specific upgrade at <https://codeberg.org/thesaigoneer/page

marvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted

I'm reading the latest issue of Classic Pop Magazine (yes, an actual magazine made of actual paper and with actual pages & stuff) and in the contents I see this image.
Well, you know me. There is literally only one thing I can say right now:
KEYTAR KLAXON!
#keytar #totp #80sMusic

Bart Wullems of The Art of Simplicity shares his experience using Microsoft's .NET Source Browser to take a peek at a particular API's internals. The code documentation pages have links to the corresponding Github repositories where you can see exactly how any given function is implemented.
"Browse the .NET code base with the .NET Source Browser"

AI startup Perplexity is crawling and scraping content from websites that have explicitly indicated they don’t want to be scraped, according to internet infrastructure provider Cloudflare.
On Monday, Cloudflare published research saying it observed the AI startup ignore blocks and hide its crawling and scraping activities.
The network infrastructure giant accused Perplexity of obscuring its identity when trying to scrape web pages “in an attempt to circumvent the website’s prefe…

Perplexity accused of scraping websites that explicitly blocked AI scraping | TechCrunch
Internet giant Cloudflare says it detected Perplexity crawling and scraping websites, even after customers had added technical blocks telling Perplexity not to scrape their pages.

PG-Agent: An Agent Powered by Page Graph
Weizhi Chen, Ziwei Wang, Leyang Yang, Sheng Zhou, Xiaoxuan Tang, Jiajun Bu, Yong Li, Wei Jiang
https://arxiv.org/abs/2509.03536 https://…

PG-Agent: An Agent Powered by Page Graph
Graphical User Interface (GUI) agents possess significant commercial and social value, and GUI agents powered by advanced multimodal large language models (MLLMs) have demonstrated remarkable potential. Currently, existing GUI agents usually utilize sequential episodes of multi-step operations across pages as the prior GUI knowledge, which fails to capture the complex transition relationship between pages, making it challenging for the agents to deeply perceive the GUI environment and generaliz…

I've been at my little "link blog" for my website long enough now it was time to figure out how to make it paginate: #Jekyll, there didn't seem to be a default way to create paginated lists that are based on `_data` files. So I did the minimum viable edits to the jekyll-paginate gem to make it work – which it does reasonably okay.
Now I wonder if it's worth to actually still make a gem out of it?
https://codeberg.org/gedankenstuecke/pages-source/commit/5702ceb7ae339520813c6f3bed9ca31cb57c49e0

The Attribution Crisis in LLM Search Results
Ilan Strauss, Jangho Yang, Tim O'Reilly, Sruly Rosenblat, Isobel Moure
https://arxiv.org/abs/2508.00838 https://

The Attribution Crisis in LLM Search Results
Web-enabled LLMs frequently answer queries without crediting the web pages they consume, creating an "attribution gap" - the difference between relevant URLs read and those actually cited. Drawing on approximately 14,000 real-world LMArena conversation logs with search-enabled LLM systems, we document three exploitation patterns: 1) No Search: 34% of Google Gemini and 24% of OpenAI GPT-4o responses are generated without explicitly fetching any online content; 2) No citation: Gemini provides no …

wiki_science: Wikipedia Map of Science (2020)
A network of scientific fields, extracted from the English Wikipedia in early 2020. Nodes are wikipedia pages representing natural, formal, social and applied sciences, and two nodes are linked if the cosine similarity of the page content is above a threshold. See <http://www.s…

McCarthyism was rate limited
by the number of people engaged,
the amount of money available,
the legal frameworks in place,
and the media environment,
in a way that is very different from what universities will face
not just in the next three years
but until we find a way to contain these people

It is awesome that #WordPress posts can syndicate to the #Fediverse but the syndication can add some really long posts to the Fedi timeline, like 21-pages-if-you-print long. Not to mention formatting issues.
Ain't nobody reading that on Fedi. 🙂‍
E.g.: #UX #technology

Page image classification for content-specific data processing
Kateryna Lutsai, Pavel Stra\v{n}\'ak
https://arxiv.org/abs/2507.21114 https://arxiv.org/…

Page image classification for content-specific data processing
Digitization projects in humanities often generate vast quantities of page images from historical documents, presenting significant challenges for manual sorting and analysis. These archives contain diverse content, including various text types (handwritten, typed, printed), graphical elements (drawings, maps, photos), and layouts (plain text, tables, forms). Efficiently processing this heterogeneous data requires automated methods to categorize pages based on their content, enabling tailored d…

wiki_users: Wikipedia user interaction (2011)
A network derived from interactions between editors of the English language Wikipedia, as derived from the edit histories of 563 wiki pages related to politics. A positive sign indicates positive links such as trust or similarities, and a negative sign indicates distrust or disagreement.
This network has 138592 nodes and 740397 edges.
Tags: Social, Online, Signed

Back from a blog hiatus! ✍️
Wrote about why I picked Cloudflare Pages over Netlify — DNS, Workers, and full-stack control.
#Cloudflare #Netlify #DevOps #WebDev

Bob Vylan, Palestine Action etc - analysis from Archie Bland in Guardian
"It isn’t just that people are angry that the catastrophe in Gaza isn’t being given due attention: it is that their encounters with observable reality are being flatly denied. ...
"Those people have been told that Gaza protests are hate marches; they can see it’s not true. They have been told that US campus protesters are largely motivated by antisemitism; they can see it’s not true. They have been told that Palestine Action is a terrorist organisation because it spray painted military aircraft; they can see it’s not true. They have been repeatedly told, by Benjamin Netanyahu, that opposition to Israel’s war is antisemitic; they can see it’s not true. They have been told that the British government finds Israel’s actions “intolerable”; they can see it’s not true.
"Now they are being told that opposing the IDF is antisemitic, that the Glastonbury crowd is more virulent than the one at Nuremberg, and that direct action is a form of terrorism. They can see all that’s not true, either, and however far their view is from the front pages, they know that they are far from alone."
#BobVylan #PalestineAction #media #bias #Palestine #Gaza #Israel

wiki_science: Wikipedia Map of Science (2020)
A network of scientific fields, extracted from the English Wikipedia in early 2020. Nodes are wikipedia pages representing natural, formal, social and applied sciences, and two nodes are linked if the cosine similarity of the page content is above a threshold. See <http://www.s…

stanford_web: Webgraph (Stanford)
The web graph of Stanford University (stanford.edu), as collected in 2002. Nodes represent pages and directed edges represent hyperlinks between them.
This network has 281904 nodes and 2312497 edges.
Tags: Informational, Web graph, Unweighted
https://networks.skewed.de/net/s…