#provenance — Public Fediverse posts

[Edited, twice, for typos]
[No AI was used in writing this toot — I’d rather not write at all otherwise]

The use of #GenAISlop machines to determine whether text was provided by #LLM #TextRegurgitatingMachines is a monster of a cyclical process. Like the integrity of police officers overseen by other police officers in another branch of law enforcement. Lawyer oversighted by a professional lawyer body… and so on. #Credibility and #Transparency are unlikely to prevail in such nepotistic circumstances, corruption is everywhere but a step away.

What are #Authors to do? Build a #TrailOfEvidence and unimpeachable record of #Provenance for every work they wish to publish? How are they to do this? Are there non-AI tools to help? This is a really f*^%#d up world the #TechBros are imposing upon us all with their inane #MarketingHype hitting the mark with many incompetant and gullible executives in charge of the #publishingIndustry. (This is all conjecture on my part based on very little but general observations of what LLM GenAI is doing — or not doing — in every field of endeavour).

“Pangram is not infallible. I’ve used it to run some of my newsletters through it, and they came back as 80% AI when I wrote every word myself. This is one of many reasons why I disagree with Substack’s decision to partner with Pangram. Another reason is that once a tool like Pangram is available to the masses, false accusations start flying around, and careers can be ruined. Whether you admit it or not, there is A LOT of jealousy in the publishing world, so it wouldn’t surprise me if someone who disliked author X decided to use Pangram on their work and made the results public. This is not the publishing world I want to live in.” (Read more: AI Accusations and Book Publishing - Kathleen Schmidt, Aug 01, 2026). A blog post on Substack, sry. https://kathleenschmidt.substack.com )

#Writing #WritingCommunity #Publishing #SlefPublishing #AuthorshipProvenance #Author #Writer #Disclosure #ProofOfAuthorship

PS. I wonder how many *airport* books by some of the most successful authors in the *genre* would pass muster if subjected to #Pangram or similar GenAI tool generated analysis? Not many I’d wager. Further, what’s the bet Pangram is itself code produced by a GenAISlop machine. This AI ponzie scheme is just getting wilder and wilder by the day… BOOOMMM !

New on the RSpace blog: research documentation in the age of AI 🧪🤖

Our colleague Tilo reflects on a question we hear a lot: how do you let an AI agent act on your research and still retrace what it did?
In RSpace you can treat an agent as a team member, with its own account, so everything it touches stays permissioned, versioned and in the audit trail.

Read more and how to get started here: https://www.researchspace.com/blog/research-documentation-in-the-age-of-ai

#ResearchDataManagement #OpenScience #FAIR #Provenance #OpenSource

Climatic And Anthropogenic Controls On Late Holocene Sediment Transport To The Gulf Of Mexico By The Mississippi River
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https://doi.org/10.1016/j.earscirev.2026.105401 <-- shared paper
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#water #hydrology #hydrography #humanimpacts #human #settlement #anthropogenic #levees #engineering #spatialanalysis #spatialtemporal #erosion #weathering #Mississippi #River #Sediment #Provenance #Zircon #grainsize #alluvial #alluvium #hydrogeomorphology #headwater #coast #coastal #delta #geology #Holocene #geochemistry #Sr #Nd #isotope #Strontium #Neodymium #detrital #climate #GulfofMexico

Revisiting bsdiff as a tool for digital preservation

by @beet_keeper

I introduced bsdiff in a blog in 2014. bsdiff compares the differences between two files, e.g. broken_file_a and corrected_file_b and creates a patch that can be applied to broken_file_a to generate a byte-for-byte match for corrected_file_b.

On the face of it, in an archive, we probably only care about corrected_file_2 and so why would we care about a technology that patches a broken file?

In all of the use-cases we can imagine the primary reasons are cost savings and removing redundancy in file storage or transmission of digital information. In one very special case we can record the difference between broken_file_a and corrected_file_b and give users a totally objective method of recreating corrected_file_b from broken_file_a providing 100% verifiable proof of the migration pathway taken between the two files.

#ac3 #Archives #audio #audiovisual #Audit #authenticity #av #Bash #bsdiff #checksums #Code4Lib #corruption #corruptionIndex #digipres #DigitalArchiving #DigitalForensics #digitalLiteracy #DigitalPreservation #DigitalStorage #diplomatics #FileFormats #flac #glitch #glitchAudio #GlitchArt #integrity #mp3 #PreservationAnalysis #PreservationMetadata #provenance #sensitivityIndex #Storage #wav

Special for #art #provenance researchers

#Dataset

Norton Simon Museum

Selected provenances for paintings, with markers for words like "presumably", "possibly", "probably", "likely"

https://docs.google.com/spreadsheets/d/e/2PACX-1vQOlbYs7q6HeC2aYWpNC7e90mzjqxwT8OeMjndWT7Dskf32ov76mVQ1NHPvcDMtl_bah3ZBhMxamJRl/pubhtml?gid=612028072&single=true

#MastoArt #arthistory #opendata #openscience #provenances #paintings #history #itineraries #research #museum #collections #pattern #California #culturalheritage

Hashtagging applied to this thread after the fact:

#contentcredentials #digitalsignatures #audittrail #provenance #photoprovenance #imageprovenance #C2PA

(Why as a reply? Because of invidious post-length limits, otherwise this could have been an edit of the original post.)

Curious to see the exact itinerary Van Gogh's Fifteen Sunflowers took on its way from the persecuted Jewish collector Paul Mendelssohn-Bartholdy to the walls of a museum in Japan.
What patterns will we see? What names? What omissions in the #provenances

https://www.lootedart.com/news.php?r=VSL272429701

#lawsuit #Holocaust #vangogh #claim #restitution #Japan #museum #insurance #art #collection #provenance #Sompo #painting