Pith Number
pith:KPGGVWSL
pith:2021:KPGGVWSLEQLEN6UU74EK75JXZZ
not attested
not anchored
not stored
refs pending
Using Neural Networks to Perform Rapid High-Dimensional Kilonova Parameter Inference
arxiv:2112.15470 v3 · 2021-12-31 · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPGGVWSLEQLEN6UU74EK75JXZZ}
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
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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 | 2026-07-05T06:00:29.475727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53cc6ada4b241646fa94ff08aff537ce4e88687cafbf4450c590e3417fe9d0c3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPGGVWSLEQLEN6UU74EK75JXZZ \
| 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: 53cc6ada4b241646fa94ff08aff537ce4e88687cafbf4450c590e3417fe9d0c3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38a5066fd1e92b7554a6017939674604d244d49937b638517a7878209de61275",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.HE",
"submitted_at": "2021-12-31T14:16:14Z",
"title_canon_sha256": "6ec072f843f2d2a4d289241e17975d7292566d95ea64c2736235c6dec3e629a2"
},
"schema_version": "1.0",
"source": {
"id": "2112.15470",
"kind": "arxiv",
"version": 3
}
}