Pith Number
pith:LMTAHDR7
pith:2025:LMTAHDR7ISSU3VMKKXGRFIMMW7
not attested
not anchored
not stored
refs pending
Optimizing Neural Network Surrogate Models: Application to Black Hole Merger Remnants
arxiv:2501.16462 v2 · 2025-01-27 · gr-qc · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LMTAHDR7ISSU3VMKKXGRFIMMW7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:05:39.255517Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b26038e3f44a54dd58a55cd12a18cb7c9875535177185854e6ac443f3750aaa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LMTAHDR7ISSU3VMKKXGRFIMMW7 \
| 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: 5b26038e3f44a54dd58a55cd12a18cb7c9875535177185854e6ac443f3750aaa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "18e54d8fa12a040551d05f07e239e43eaa9b8424e95d09ed18ca7993734121ff",
"cross_cats_sorted": [
"astro-ph.HE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "gr-qc",
"submitted_at": "2025-01-27T19:43:11Z",
"title_canon_sha256": "0ed3f20c0bd5299ef0f9b03376897ab2957d435d3029984bf7bcb9b6e6242c83"
},
"schema_version": "1.0",
"source": {
"id": "2501.16462",
"kind": "arxiv",
"version": 2
}
}