Pith Number
pith:T65F6P7J
pith:2021:T65F6P7JRZEMSV2JUWLM4MXHYW
not attested
not anchored
not stored
refs pending
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
arxiv:2103.09712 v2 · 2021-03-17 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T65F6P7JRZEMSV2JUWLM4MXHYW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:56:57.408234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9fba5f3fe98e48c95749a596ce32e7c58b81d121289af216751d49e917139729
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T65F6P7JRZEMSV2JUWLM4MXHYW \
| 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: 9fba5f3fe98e48c95749a596ce32e7c58b81d121289af216751d49e917139729
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "34e10669069e2eff945637ca4ea32bdfe2249190690736d7e7f2b3be8626889e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-03-17T15:12:55Z",
"title_canon_sha256": "2d7340b6f142f9dbf5daecb92d78cc495f3745ec88b52ed5ff9f17e9ccb120ce"
},
"schema_version": "1.0",
"source": {
"id": "2103.09712",
"kind": "arxiv",
"version": 2
}
}