Pith Number
pith:5VOONIAS
pith:2023:5VOONIAS4BOAXGQJDIXOEY5LXT
not attested
not anchored
not stored
refs pending
Dynamic LiDAR Re-simulation using Compositional Neural Fields
arxiv:2312.05247 v2 · 2023-12-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5VOONIAS4BOAXGQJDIXOEY5LXT}
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 | 2026-07-05T08:03:46.682934Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ed5ce6a012e05c0b9a091a2ee263abbcee3478fb118b6f4b36d2f9a087a1abe9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5VOONIAS4BOAXGQJDIXOEY5LXT \
| 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: ed5ce6a012e05c0b9a091a2ee263abbcee3478fb118b6f4b36d2f9a087a1abe9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b4652dcbbdb98ac4124fbf42ed507ee31c8b5fc76661b60f26e198a565588a97",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-12-08T18:55:24Z",
"title_canon_sha256": "af5458c78b34ae32eedaba1b8c3cf6340cbd2567f2a93d32caac41c8d78ae497"
},
"schema_version": "1.0",
"source": {
"id": "2312.05247",
"kind": "arxiv",
"version": 2
}
}