Pith Number
pith:FVHZZ3YN
pith:2024:FVHZZ3YNBLD4YGBE74KGBTMSBW
not attested
not anchored
not stored
refs pending
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
arxiv:2410.03190 v3 · 2024-10-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FVHZZ3YNBLD4YGBE74KGBTMSBW}
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 | 2026-07-05T10:22:51.558205Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d4f9cef0d0ac7cc1824ff1460cd920d99f118a5b3349eaf6177f900a9fcecc8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FVHZZ3YNBLD4YGBE74KGBTMSBW \
| 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: 2d4f9cef0d0ac7cc1824ff1460cd920d99f118a5b3349eaf6177f900a9fcecc8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed6879c5fbe0d815b11cb4817c85033ffeb165bbd832f09382b3b8e52cefe3d4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-04T07:05:16Z",
"title_canon_sha256": "4d11902b41da5f9c38383df8be4e0ff41a3ea0abfa1adb6a5af8d98f56cb8e88"
},
"schema_version": "1.0",
"source": {
"id": "2410.03190",
"kind": "arxiv",
"version": 3
}
}