Pith Number
pith:FL7F5OH4
pith:2023:FL7F5OH44ITGLY4XIELHSPF7WW
not attested
not anchored
not stored
refs pending
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization
arxiv:2306.04699 v4 · 2023-06-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FL7F5OH44ITGLY4XIELHSPF7WW}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:08:08.258079Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2afe5eb8fce22665e3974116793cbfb5a360d5ba69042443c5b9acffe97637da
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FL7F5OH44ITGLY4XIELHSPF7WW \
| 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: 2afe5eb8fce22665e3974116793cbfb5a360d5ba69042443c5b9acffe97637da
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "55f3fd8157dad675bc8d86974a8892aafaac28043740c405377f8a27599b7689",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-07T18:05:14Z",
"title_canon_sha256": "2dbb209c13111cfa7c07f21daddf9a85f0ad435961d127dad3bdb72108e6b373"
},
"schema_version": "1.0",
"source": {
"id": "2306.04699",
"kind": "arxiv",
"version": 4
}
}