Pith Number
pith:YGWGKFNA
pith:2022:YGWGKFNASPUXCQZKTOSXND3H5J
not attested
not anchored
not stored
refs pending
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos
arxiv:2209.01148 v1 · 2022-09-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YGWGKFNASPUXCQZKTOSXND3H5J}
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 | 2026-07-05T04:54:09.578389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1ac6515a093e971432a9ba5768f67ea62f61e790c3715d4b3e977e6ca0e3c7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YGWGKFNASPUXCQZKTOSXND3H5J \
| 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: c1ac6515a093e971432a9ba5768f67ea62f61e790c3715d4b3e977e6ca0e3c7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "833d7d2e63e3176d0e6053c0c7eba9ae128ac0b479bd6b5c7cfcfefb548b8675",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-09-02T16:05:39Z",
"title_canon_sha256": "ce5f8a0824d8877655aa44ab0be23e929bf61811c0650683ba46b7d6e37c6af6"
},
"schema_version": "1.0",
"source": {
"id": "2209.01148",
"kind": "arxiv",
"version": 1
}
}