Pith Number
pith:WO7ZTHCQ
pith:2025:WO7ZTHCQ7M5O64Z4HWKJYVDOBQ
not attested
not anchored
not stored
refs pending
PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models
arxiv:2502.04050 v2 · 2025-02-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WO7ZTHCQ7M5O64Z4HWKJYVDOBQ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:28:14.019841Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b3bf999c50fb3aef733c3d949c546e0c399f3b97659420309e78e11f08f5893f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WO7ZTHCQ7M5O64Z4HWKJYVDOBQ \
| 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: b3bf999c50fb3aef733c3d949c546e0c399f3b97659420309e78e11f08f5893f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "21627556a48da8692f111ddd71fe7d86f31f6bbdda83f4fe68d5eda8aed08cf9",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-06T13:08:43Z",
"title_canon_sha256": "a4b1b1d557420f4f454df44f93dccd149df483a2decefbeec5c85da11807d1f6"
},
"schema_version": "1.0",
"source": {
"id": "2502.04050",
"kind": "arxiv",
"version": 2
}
}