Pith Number
pith:NB7XOPQD
pith:2025:NB7XOPQDTRF3TFYPG2UEGCM5PG
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not anchored
not stored
refs pending
How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
arxiv:2506.16679 v1 · 2025-06-20 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NB7XOPQDTRF3TFYPG2UEGCM5PG}
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.
Receipt and verification
| First computed | 2026-07-05T11:24:40.585443Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
687f773e039c4bb9970f36a843099d79adaf2109e80c300aa4546fb4c236f985
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NB7XOPQDTRF3TFYPG2UEGCM5PG \
| 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: 687f773e039c4bb9970f36a843099d79adaf2109e80c300aa4546fb4c236f985
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9dcf489602c04484501111f57c6b69711b878e276e81c3224661352a48d0383c",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-20T01:52:17Z",
"title_canon_sha256": "45e40dd139471c1ae65482c12113baaa791f65115ccdbcf5c81f3afe7809af7e"
},
"schema_version": "1.0",
"source": {
"id": "2506.16679",
"kind": "arxiv",
"version": 1
}
}