Pith Number
pith:VQ2MCRYF
pith:2025:VQ2MCRYFDTB5O2BAHVG6UUDAHL
not attested
not anchored
not stored
refs pending
A Physics-Informed Hierarchical Neural Network for Microwave Scattering Analysis of 3D PEC Targets
arxiv:2508.03774 v5 · 2025-08-05 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VQ2MCRYFDTB5O2BAHVG6UUDAHL}
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.
Cited by
Receipt and verification
| First computed | 2026-05-27T01:04:49.734720Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac34c147051cc3d768203d4dea50603ad12fe0b1c552d9ee2fb413ea01a32048
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQ2MCRYFDTB5O2BAHVG6UUDAHL \
| 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: ac34c147051cc3d768203d4dea50603ad12fe0b1c552d9ee2fb413ea01a32048
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af2f3baf10a56cae86e320574828aae34b7511f94c4e28807c6a35534f0da17b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-05T12:20:42Z",
"title_canon_sha256": "944b6ce7ead808bb3164d52a4047dbe251906c1e98f27ff20fbc34d799c6aa3b"
},
"schema_version": "1.0",
"source": {
"id": "2508.03774",
"kind": "arxiv",
"version": 5
}
}