Pith Number
pith:MQ7O7KZ3
pith:2025:MQ7O7KZ3DS2MLN567YV7CD6QZF
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refs pending
Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
arxiv:2508.00628 v1 · 2025-08-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MQ7O7KZ3DS2MLN567YV7CD6QZF}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-05T11:46:59.297908Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
643eefab3b1cb4c5b7befe2bf10fd0c94bcc097c15155d8d00d27015ee858967
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQ7O7KZ3DS2MLN567YV7CD6QZF \
| 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: 643eefab3b1cb4c5b7befe2bf10fd0c94bcc097c15155d8d00d27015ee858967
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "40069b8096edcc5309d2003c0f9ef9597c4d2ab2bb99f1bd3b5725a477c0af46",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-01T13:40:10Z",
"title_canon_sha256": "c60e9d1d4b3d97406ea9a4156dea08330c71e06d32e6cbb2c6c5aebf37b516f0"
},
"schema_version": "1.0",
"source": {
"id": "2508.00628",
"kind": "arxiv",
"version": 1
}
}