Pith Number
pith:LJO5STBT
pith:2023:LJO5STBTZZIQSMVIB4ZH7V6WY7
not attested
not anchored
not stored
refs pending
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
arxiv:2303.08435 v4 · 2023-03-15 · cs.CV · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LJO5STBTZZIQSMVIB4ZH7V6WY7}
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 | 2026-07-05T05:59:06.767545Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a5dd94c33ce510932a80f327fd7d6c7cccb71c3294974c39dcd8089e687c08f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LJO5STBTZZIQSMVIB4ZH7V6WY7 \
| 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: 5a5dd94c33ce510932a80f327fd7d6c7cccb71c3294974c39dcd8089e687c08f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e16c5d4d290f9ee663989a657d0ddfcc4b65aba1f0b805cc5f3cc4182c61aa94",
"cross_cats_sorted": [
"cs.LG",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-15T08:17:07Z",
"title_canon_sha256": "3e5617a014d99ef3466a57404cb1080ede11b154783a5a7b4d272afd300f3ac3"
},
"schema_version": "1.0",
"source": {
"id": "2303.08435",
"kind": "arxiv",
"version": 4
}
}