Pith Number
pith:AUEPLPMX
pith:2023:AUEPLPMXXVBMOINFJALFK64G53
not attested
not anchored
not stored
refs pending
Operator Learning with Neural Fields: Tackling PDEs on General Geometries
arxiv:2306.07266 v2 · 2023-06-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AUEPLPMXXVBMOINFJALFK64G53}
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 | 2026-07-05T07:18:27.639187Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0508f5bd97bd42c721a54816557b86eedce6c72291ac213a86b3b586dff807ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AUEPLPMXXVBMOINFJALFK64G53 \
| 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: 0508f5bd97bd42c721a54816557b86eedce6c72291ac213a86b3b586dff807ca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3095c1db95ab465c45326f307c1b434d45d695a988ca15d6879e027ac12b94c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-12T17:52:39Z",
"title_canon_sha256": "3c366b16d1d9f9e1746e95719fcbfc48cb5e0d0b58c1f3350af11abb0a9388d0"
},
"schema_version": "1.0",
"source": {
"id": "2306.07266",
"kind": "arxiv",
"version": 2
}
}