Pith Number
pith:PTS2WFR7
pith:2025:PTS2WFR7H3VSJFFJGJ5RSI3BBQ
not attested
not anchored
not stored
refs pending
DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation
arxiv:2509.05543 v1 · 2025-09-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PTS2WFR7H3VSJFFJGJ5RSI3BBQ}
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 | 2026-07-05T12:05:49.642474Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ce5ab163f3eeb2494a9327b1923610c317dd5f2c7a26a2a98194b42d1d5aedc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PTS2WFR7H3VSJFFJGJ5RSI3BBQ \
| 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: 7ce5ab163f3eeb2494a9327b1923610c317dd5f2c7a26a2a98194b42d1d5aedc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "723d2edd1b8e91f57ff1342d45c6fa18fb2717ed30d4382163966102f2e2e1e1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-09-05T23:46:51Z",
"title_canon_sha256": "a23bce9552c3d6b36829b01445e4ed0ad1abf2f53997bc100126aad19e773d8e"
},
"schema_version": "1.0",
"source": {
"id": "2509.05543",
"kind": "arxiv",
"version": 1
}
}