Pith Number
pith:7CPH45LV
pith:2024:7CPH45LVEQO2Y3P7IZH6MYTIBC
not attested
not anchored
not stored
refs pending
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions
arxiv:2410.08549 v2 · 2024-10-11 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7CPH45LVEQO2Y3P7IZH6MYTIBC}
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 | 2026-07-05T09:20:49.212698Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f89e7e7575241dac6dff464fe6626808a76f7f7a6ded0fc793aa0078d042d597
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7CPH45LVEQO2Y3P7IZH6MYTIBC \
| 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: f89e7e7575241dac6dff464fe6626808a76f7f7a6ded0fc793aa0078d042d597
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "259954a73b09ba929ce273f662430d1e9c23dedc9fdff0ccf519046c1af966c7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-11T06:00:34Z",
"title_canon_sha256": "59c05837552b3164e09924f44ab4d2425360e8860c981567e7ee43f2dffb7e0d"
},
"schema_version": "1.0",
"source": {
"id": "2410.08549",
"kind": "arxiv",
"version": 2
}
}