AI & ML interests

AI provenance, verifiable AI evidence, cryptographic receipts, audit trails, model transparency, AI governance, continuity monitoring, reproducible research, machine-readable trust infrastructure, AI agent accountability, public verification.

Recent Activity

CroviaResearchย  updated a Space about 4 hours ago
CroviaTrust/README
CroviaResearchย  updated a dataset about 4 hours ago
CroviaTrust/tacet-disclosure-ledger
CroviaResearchย  published a dataset 9 days ago
CroviaTrust/tacet-disclosure-ledger
View all activity

Organization Card
โˆด Crovia Trust
Crovia proves what did not happen.

Every hour, Crovia fetches the public model cards of AI models on this Hub, asks one published question โ€” does this card disclose its training data? โ€” and signs what it saw. The hour is opened by a public randomness beacon (drand) and closed by a Bitcoin anchor. Anyone can verify the record without an account and without a Crovia server.

Live from the log ยท updated 2026-10-05 04:06 UTC ยท latest.json

370
current epoch ยท since 2026-09-19
34,919
signed observations
368
hours anchored in Bitcoin ยท last block 969,934
6,332
models in the target list
17,934
observations that found no disclosure
19
featured silence proofs
Dataset ยท updated hourly

TACET disclosure ledger

Every observation since 2026-09-19, byte for byte as served at croviatrust.com: the signed rows, the hourly epoch sheets, the map changes, the OpenTimestamps anchors and the featured proofs. Three tables in the viewer (observations, epochs, targets), CC-BY-4.0.

Verify a proof yourself

pip install crovia-tacet-operator
tacet-operator verify proofs/<slug>.seal.json \
  --operator-pubkey <operator key from trust_root.json>

Checks signatures, chaining, non-inclusion paths, snapshot hashes; drand rounds and Bitcoin blocks against public relays.

Weekly report ยท open method

Survival Report (causari)

How much AI-tagged code is still at HEAD, repository by repository, against the same repository's untagged code of the same age. Built with causari, one open-source Rust binary, no cloud: counts, not grades, and every number in the report can be recomputed with the command the report prints and verified offline.

Latest
Survival Report #3 ยท 2026-09-28 ยท 43 repositories ยท 39,706 AI-tagged commits ยท method v3

npx causari audit <owner/repo>
pipx run causari audit <owner/repo>
Featured proofs ยท 19 model cards, silence documented hour by hour

A silence is a run of anchored hours in which every observation of a model card found no training-data disclosure on that surface. It is a statement about a web page over time โ€” not about fraud, bad faith, or what the provider disclosed elsewhere.

Model cardHours observedSilence (days)Proof
mistralai/Mistral-7B-v0.131813.25proof
mistralai/Mistral-Small-3.2-24B-Instruct-250631813.25proof
mistralai/Mixtral-8x7B-v0.131813.25proof
Qwen/Qwen2.5-7B31813.25proof
Qwen/Qwen2.5-Coder-32B-Instruct31813.25proof
Qwen/Qwen3-32B31813.25proof
black-forest-labs/FLUX.1-dev31713.20proof
black-forest-labs/FLUX.1-schnell31713.20proof

and 11 more in proofs/index.json

TACET specification (Internet-Draft draft-crovia-tacet) ยท LACUNA ยท Crovia Seal ยท github.com/croviatrust ยท causari.dev ยท info@croviatrust.com
Data CC-BY-4.0, code Apache-2.0. Hours not observed count toward nothing. Corrections are made by revision, never by rewriting an anchored epoch. This card is regenerated hourly by the same script that publishes the dataset.

models 0

None public yet