Pith Number
pith:4J23KL3T
pith:2021:4J23KL3T7DOAJW64RPGO6TEEUD
not attested
not anchored
not stored
refs pending
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
arxiv:2103.01449 v1 · 2021-03-02 · cs.CV · cs.AI · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4J23KL3T7DOAJW64RPGO6TEEUD}
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 | 2026-07-05T02:19:18.253311Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e275b52f73f8dc04dbdc8bccef4c84a0d24564ace9a016fd174d3e0aea56003d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4J23KL3T7DOAJW64RPGO6TEEUD \
| 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: e275b52f73f8dc04dbdc8bccef4c84a0d24564ace9a016fd174d3e0aea56003d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee9cca1aac873f0e2034e86c85ccc07c063302687e366b8799df0b1cd798ad36",
"cross_cats_sorted": [
"cs.AI",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-03-02T03:32:10Z",
"title_canon_sha256": "95d7bcb3fc835d6a3ae12deb62136301c0ec724db6cebca7bfa3e611f7637452"
},
"schema_version": "1.0",
"source": {
"id": "2103.01449",
"kind": "arxiv",
"version": 1
}
}