Pith Number
pith:ZZN5QLSH
pith:2023:ZZN5QLSHGFD2VQZV6SKPQMZKLK
not attested
not anchored
not stored
refs pending
Do text-free diffusion models learn discriminative visual representations?
arxiv:2311.17921 v3 · 2023-11-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZZN5QLSHGFD2VQZV6SKPQMZKLK}
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 | 2026-07-05T09:11:12.404383Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce5bd82e473147aac335f494f8332a5a874db2749ede3422cb6048c29b18d693
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZZN5QLSHGFD2VQZV6SKPQMZKLK \
| 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: ce5bd82e473147aac335f494f8332a5a874db2749ede3422cb6048c29b18d693
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "01fcfdb9ea5d48d299eace76e1e4e4c861a5267caf94cbf89007d441b9e29828",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-11-29T18:59:59Z",
"title_canon_sha256": "bf132c095abc0d9b41b8a238fa68fd9db3df95d58ffb0013db72e8c6c1a42ea2"
},
"schema_version": "1.0",
"source": {
"id": "2311.17921",
"kind": "arxiv",
"version": 3
}
}