Pith Number
pith:JMUXEF5D
pith:2024:JMUXEF5D3AXDYFRSOUFFGLVXRZ
not attested
not anchored
not stored
refs pending
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images
arxiv:2408.17027 v1 · 2024-08-30 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JMUXEF5D3AXDYFRSOUFFGLVXRZ}
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 | 2026-07-05T09:01:09.798258Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b297217a3d82e3c1632750a532eb78e636ebf814795af8f84ab603f73ac9f4b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JMUXEF5D3AXDYFRSOUFFGLVXRZ \
| 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: 4b297217a3d82e3c1632750a532eb78e636ebf814795af8f84ab603f73ac9f4b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3d6321384ff807067c3ca72684824fd344ddf28cd08d7651ebaf124e2f65b798",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-08-30T05:57:01Z",
"title_canon_sha256": "41fdf53bdd9a7bd609bcef7456a98b1e158ebcacd4a95c839c450c1a75413a71"
},
"schema_version": "1.0",
"source": {
"id": "2408.17027",
"kind": "arxiv",
"version": 1
}
}