Pith Number
pith:OJ4DSKGQ
pith:2025:OJ4DSKGQEGYXHRFSSJVEH63ZHW
not attested
not anchored
not stored
refs pending
Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations
arxiv:2503.10464 v1 · 2025-03-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OJ4DSKGQEGYXHRFSSJVEH63ZHW}
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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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 | 2026-07-05T10:30:45.849897Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72783928d021b173c4b2926a43fb793d8db9269f8915c0f7069afeadf1cc969e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OJ4DSKGQEGYXHRFSSJVEH63ZHW \
| 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: 72783928d021b173c4b2926a43fb793d8db9269f8915c0f7069afeadf1cc969e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bee582df7e6c26320145c889b1048df5c84d8a8de276728983b5e2ecc0c91037",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-13T15:37:11Z",
"title_canon_sha256": "b2d9e4b93b699908accb7375750bb244ae1acc90890c3bf5515fc3b26e430d77"
},
"schema_version": "1.0",
"source": {
"id": "2503.10464",
"kind": "arxiv",
"version": 1
}
}