Pith Number
pith:TOPBRDJH
pith:2017:TOPBRDJHM3AMK24NLDCAQ73IOA
not attested
not anchored
not stored
refs pending
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
arxiv:1709.02517 v2 · 2017-09-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TOPBRDJHM3AMK24NLDCAQ73IOA}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:29:01.168831Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b9e188d2766c0c56b8d58c4087f687020b14bee0903950b0ad5a181f43e5936
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TOPBRDJHM3AMK24NLDCAQ73IOA \
| 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: 9b9e188d2766c0c56b8d58c4087f687020b14bee0903950b0ad5a181f43e5936
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1998f4cfc532c2720fafd4acf02ba59acd6a376ba5ebfd232ba7905563ccaa0c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-08T03:16:52Z",
"title_canon_sha256": "d7f2a8b7b60de3e82e62b7dfa3d23455a07e5ade5103dedc1d6e3031914653a0"
},
"schema_version": "1.0",
"source": {
"id": "1709.02517",
"kind": "arxiv",
"version": 2
}
}