Pith Number
pith:7NSUQYYW
pith:2022:7NSUQYYWJDNJWOVG7EMQNGIUVL
not attested
not anchored
not stored
refs pending
Physics-Informed Machine Learning for Modeling Turbulence in Supernovae
arxiv:2205.08663 v2 · 2022-05-17 · physics.comp-ph · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7NSUQYYWJDNJWOVG7EMQNGIUVL}
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 | 2026-07-05T05:20:11.601576Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fb6548631648da9b3aa6f919069914aae78e2fb7ef8dc9bfb9913fe37acf6eba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7NSUQYYWJDNJWOVG7EMQNGIUVL \
| 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: fb6548631648da9b3aa6f919069914aae78e2fb7ef8dc9bfb9913fe37acf6eba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5bbe9b2c2226ee9a529a2a990591998b9e86797ddf481f4ddcb201a5e6949b7",
"cross_cats_sorted": [
"astro-ph.HE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2022-05-17T23:42:28Z",
"title_canon_sha256": "388ff3cefc751a043f922e427a6d12de527feec4303f8b821d43389d6fdbe017"
},
"schema_version": "1.0",
"source": {
"id": "2205.08663",
"kind": "arxiv",
"version": 2
}
}