Pith Number
pith:FHKII4RK
pith:2024:FHKII4RKDRZ6QDKVB2XEQFHY25
not attested
not anchored
not stored
refs pending
MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model
arxiv:2405.20222 v3 · 2024-05-30 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FHKII4RKDRZ6QDKVB2XEQFHY25}
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 | 2026-07-05T08:42:36.567304Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29d484722a1c73e80d550eae4814f8d75ffa6c0578ecdd79dd71bdb9cb972bf8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FHKII4RKDRZ6QDKVB2XEQFHY25 \
| 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: 29d484722a1c73e80d550eae4814f8d75ffa6c0578ecdd79dd71bdb9cb972bf8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4ae55a98cf84c5d6260b70fd11e83f5a2608504d25395463df6ce2eb3fabd857",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-05-30T16:22:22Z",
"title_canon_sha256": "cb61d529e5a6d6ea889c8c61b9a46775bb2614aba3f68f2411cfea6fe854755c"
},
"schema_version": "1.0",
"source": {
"id": "2405.20222",
"kind": "arxiv",
"version": 3
}
}