Pith Number
pith:KNW5R7TJ
pith:2023:KNW5R7TJGAUTMGX7CRNIKEX6P7
not attested
not anchored
not stored
refs pending
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods
arxiv:2306.00385 v2 · 2023-06-01 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KNW5R7TJGAUTMGX7CRNIKEX6P7}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:49:39.777590Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
536dd8fe693029361aff145a8512fe7fd082fb51246b0ec318949fc5ac1c5be1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KNW5R7TJGAUTMGX7CRNIKEX6P7 \
| 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: 536dd8fe693029361aff145a8512fe7fd082fb51246b0ec318949fc5ac1c5be1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f628c195ece9dbfd2dbf4ba062d6541f0231a593c048b25046ab2ba6e893f44c",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-01T06:34:14Z",
"title_canon_sha256": "628be33cfe17a96bc1ac73e11869dbe21734513445f3d1d7f9a55b5a9586084c"
},
"schema_version": "1.0",
"source": {
"id": "2306.00385",
"kind": "arxiv",
"version": 2
}
}