Pith Number
pith:WWKQAA62
pith:2025:WWKQAA62GDDOXMKMPEPQ5TXYFL
not attested
not anchored
not stored
refs pending
Using In-Context Learning for Automatic Defect Labelling of Display Manufacturing Data
arxiv:2506.04717 v1 · 2025-06-05 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WWKQAA62GDDOXMKMPEPQ5TXYFL}
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 | 2026-07-05T11:16:19.339478Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5950003da30c6ebb14c791f0ecef82aff1cea7e86232ff13f98798dfe7dfb4b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WWKQAA62GDDOXMKMPEPQ5TXYFL \
| 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: b5950003da30c6ebb14c791f0ecef82aff1cea7e86232ff13f98798dfe7dfb4b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "525decbffa27c16280a76c9430bb738c2dcfc1ae3e270039cb1afc973ba93b60",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-05T07:42:31Z",
"title_canon_sha256": "0561af430344010b89f02967116f6da1fb3b261fb140baae4cb58fe4dd7b31a5"
},
"schema_version": "1.0",
"source": {
"id": "2506.04717",
"kind": "arxiv",
"version": 1
}
}