Pith Number
pith:DA56ANVE
pith:2025:DA56ANVEH4MBDZQM6SU5XHFDJA
not attested
not anchored
not stored
refs pending
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
arxiv:2502.12089 v3 · 2025-02-17 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DA56ANVEH4MBDZQM6SU5XHFDJA}
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
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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 | 2026-07-05T11:15:42.864925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
183be036a43f1811e60cf4a9db9ca34821d876408ea0c62aec24a1f1f9162d22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DA56ANVEH4MBDZQM6SU5XHFDJA \
| 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: 183be036a43f1811e60cf4a9db9ca34821d876408ea0c62aec24a1f1f9162d22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf80eb25237c626de625cbfa800f4b4105884f0aa305cb9a7626d99462643a54",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-02-17T18:06:33Z",
"title_canon_sha256": "d2fdd972bd2de0e75c4f7c2e5d4a1f5a28d9b261eb11883e9eb239817aa6177a"
},
"schema_version": "1.0",
"source": {
"id": "2502.12089",
"kind": "arxiv",
"version": 3
}
}