Pith Number
pith:BQ47AUFP
pith:2025:BQ47AUFPLD6GFMZXKZVZPYA3YX
not attested
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not stored
refs pending
Disentangling 3D from Large Vision-Language Models for Controlled Portrait Generation
arxiv:2506.14015 v1 · 2025-06-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BQ47AUFPLD6GFMZXKZVZPYA3YX}
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 | 2026-07-05T11:22:47.424148Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c39f050af58fc62b337566b97e01bc5fe725121e0b529818b2e886ac9cc70d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BQ47AUFPLD6GFMZXKZVZPYA3YX \
| 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: 0c39f050af58fc62b337566b97e01bc5fe725121e0b529818b2e886ac9cc70d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53b6890f4734049abcb0894d197610327065d66c5086b63b3af9a2f7bee6dc3e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-16T21:26:45Z",
"title_canon_sha256": "8ebe41835470de62df89950b9ff7c0c4a6138ffd8fa8506f71209e010cc94542"
},
"schema_version": "1.0",
"source": {
"id": "2506.14015",
"kind": "arxiv",
"version": 1
}
}