Pith Number
pith:YBEJ6JZW
pith:2025:YBEJ6JZWNKGMOJQFQ37IMXXLWL
not attested
not anchored
not stored
refs pending
Evaluating and Predicting Distorted Human Body Parts for Generated Images
arxiv:2503.00811 v1 · 2025-03-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YBEJ6JZWNKGMOJQFQ37IMXXLWL}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T10:22:30.132885Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c0489f27366a8cc7260586fe865eebb2ff31e955ddf79392fb5dd40b68e347ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YBEJ6JZWNKGMOJQFQ37IMXXLWL \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c0489f27366a8cc7260586fe865eebb2ff31e955ddf79392fb5dd40b68e347ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e4f77d8ed855c4d148ddc6474ed43a786289087b298416f32d1e95b2e6eff91",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-02T09:34:44Z",
"title_canon_sha256": "b886ee556926f810ce4a5f887d79c3891cd06d2820ca7654d458c8215e4eb80d"
},
"schema_version": "1.0",
"source": {
"id": "2503.00811",
"kind": "arxiv",
"version": 1
}
}