Pith Number
pith:EKDFER73
pith:2022:EKDFER73DU7LEPYHTW46X3TNSL
not attested
not anchored
not stored
refs pending
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?
arxiv:2207.12651 v1 · 2022-07-26 · cs.CV · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EKDFER73DU7LEPYHTW46X3TNSL}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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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.
Receipt and verification
| First computed | 2026-07-05T04:43:24.957519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
22865247fb1d3eb23f079db9ebee6d92ee6dd49e35aecc0bcaefcbbf6bbe3e3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EKDFER73DU7LEPYHTW46X3TNSL \
| 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: 22865247fb1d3eb23f079db9ebee6d92ee6dd49e35aecc0bcaefcbbf6bbe3e3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a29a451db5043464388c0f9d2ee2b610ada0d43f58b38fddf91122e3bc1ba796",
"cross_cats_sorted": [
"cs.LG",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-07-26T04:39:29Z",
"title_canon_sha256": "3b8209e12e3a430fe63958eeb0f1954b8e56ee8355d235fcfa4e2e68fa12ad7c"
},
"schema_version": "1.0",
"source": {
"id": "2207.12651",
"kind": "arxiv",
"version": 1
}
}