Pith Number
pith:4GVAJVJ2
pith:2025:4GVAJVJ2RG7KHHI5IVFWI7WR35
not attested
not anchored
not stored
refs pending
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression
arxiv:2504.07301 v1 · 2025-04-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4GVAJVJ2RG7KHHI5IVFWI7WR35}
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.
Receipt and verification
| First computed | 2026-07-05T10:47:06.542124Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1aa04d53a89bea39d1d454b647ed1df49392b9699a2a5eadc248670c01eda63
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4GVAJVJ2RG7KHHI5IVFWI7WR35 \
| 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: e1aa04d53a89bea39d1d454b647ed1df49392b9699a2a5eadc248670c01eda63
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0e1633a313cacdbec7261ed951a6994b8a561586501a8d2abe1413b7cd65ac4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-09T21:51:38Z",
"title_canon_sha256": "05279cf5624c5b545f8eb9262c23d88e0229e3bd9be0fcb643b872be4289c5f6"
},
"schema_version": "1.0",
"source": {
"id": "2504.07301",
"kind": "arxiv",
"version": 1
}
}