Pith Number
pith:FSEP7FSJ
pith:2022:FSEP7FSJK3DMX7JRXKJZMU5SCT
not attested
not anchored
not stored
refs pending
Learning Physics-Informed Neural Networks without Stacked Back-propagation
arxiv:2202.09340 v2 · 2022-02-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FSEP7FSJK3DMX7JRXKJZMU5SCT}
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 | 2026-07-05T05:45:17.057150Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c88ff964956c6cbfd31ba939653b214e067ecc0a7bfa1f44354703ad3ee6fe3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FSEP7FSJK3DMX7JRXKJZMU5SCT \
| 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: 2c88ff964956c6cbfd31ba939653b214e067ecc0a7bfa1f44354703ad3ee6fe3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "51af776a4a16ffad9baabb61757a88615b406f6c50877ad8a0bef94c33e9d31c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-18T18:07:54Z",
"title_canon_sha256": "aab0e832fc5395ea2475a0fd509fac6ed4092e1f4078f051b2f9ee9c2730208f"
},
"schema_version": "1.0",
"source": {
"id": "2202.09340",
"kind": "arxiv",
"version": 2
}
}