Pith Number
pith:VGFZXNLP
pith:2026:VGFZXNLPY4D7CJB43L627HNS57
not attested
not anchored
not stored
refs pending
Prediction Is Not Physics: Learning and Evaluating Conserved Quantities in Neural Simulators
arxiv:2605.18883 v1 · 2026-05-16 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VGFZXNLPY4D7CJB43L627HNS57}
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 | 2026-05-20T00:06:30.398937Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a98b9bb56fc707f1243cdafdaf9db2efe7999b96ef257f08e60d6c6efab3d1e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VGFZXNLPY4D7CJB43L627HNS57 \
| 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: a98b9bb56fc707f1243cdafdaf9db2efe7999b96ef257f08e60d6c6efab3d1e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "88a9d4e861dcde78fa472da6c24191d15e6d96999059428497f4dc01c103e5f6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-16T05:23:41Z",
"title_canon_sha256": "cabcc7da9cd6f27741cbff4f14052c1f737bd1e34582a1f8d8407a50cfc6165e"
},
"schema_version": "1.0",
"source": {
"id": "2605.18883",
"kind": "arxiv",
"version": 1
}
}