Pith Number
pith:63GATZZE
pith:2024:63GATZZEAROXXHBTP5UF52GCVL
not attested
not anchored
not stored
refs pending
Is 3D Convolution with 5D Tensors Really Necessary for Video Analysis?
arxiv:2407.16514 v1 · 2024-07-23 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{63GATZZEAROXXHBTP5UF52GCVL}
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 | 2026-07-05T08:47:34.575148Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f6cc09e724045d7b9c337f685ee8c2aadcbd9b2fc3a79799f836e16cf3b47f4c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/63GATZZEAROXXHBTP5UF52GCVL \
| 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: f6cc09e724045d7b9c337f685ee8c2aadcbd9b2fc3a79799f836e16cf3b47f4c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ede525f33cd7b5c4efe928eecf011e41a6b3df979955231879803c07e1de5cf4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-07-23T14:30:51Z",
"title_canon_sha256": "f43f166d6f2811e0bc0dd6c4481c14440f169afbdefab5a50981cbe045ad65bc"
},
"schema_version": "1.0",
"source": {
"id": "2407.16514",
"kind": "arxiv",
"version": 1
}
}