Pith Number
pith:7YLJ25KJ
pith:2019:7YLJ25KJZ2EBM4PVBSMJAJHARI
not attested
not anchored
not stored
refs pending
Towards Human Body-Part Learning for Model-Free Gait Recognition
arxiv:1904.01620 v1 · 2019-04-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7YLJ25KJZ2EBM4PVBSMJAJHARI}
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
✓
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 | 2026-05-17T23:49:32.474375Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe169d7549ce881671f50c989024e08a135d7b6ec39eb02c800925569bb44ea3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YLJ25KJZ2EBM4PVBSMJAJHARI \
| 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: fe169d7549ce881671f50c989024e08a135d7b6ec39eb02c800925569bb44ea3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39994de78b2fb7fdce0fe2d9298fab9e4f551d3d520a55f69797c4f767f88de0",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-02T18:49:14Z",
"title_canon_sha256": "4cfbdb312388d03ca53275c9bc8bdad6b32af62a60ba14e8d9eb48b160d7cf5d"
},
"schema_version": "1.0",
"source": {
"id": "1904.01620",
"kind": "arxiv",
"version": 1
}
}