Pith Number
pith:XG7WHGEY
pith:2026:XG7WHGEYRN4B5O7YXCAGVUPVNE
not attested
not anchored
not stored
refs pending
Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning
arxiv:2605.30811 v1 · 2026-05-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XG7WHGEYRN4B5O7YXCAGVUPVNE}
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 | 2026-06-01T01:03:18.206124Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9bf6398988b781ebbf8b8806ad1f569110dc461e7623fed6558725042925cd4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XG7WHGEYRN4B5O7YXCAGVUPVNE \
| 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: b9bf6398988b781ebbf8b8806ad1f569110dc461e7623fed6558725042925cd4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "48f3ca5a91f3d7baa9bf22d41c3d02f39e7b4ca0d5062a24e5677a890559510b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-29T03:57:29Z",
"title_canon_sha256": "33dbccb73fbb4c908cf4fcc3a7edd053e572383ee65eec024f7544144f200262"
},
"schema_version": "1.0",
"source": {
"id": "2605.30811",
"kind": "arxiv",
"version": 1
}
}