Pith Number
pith:B5PE6TMH
pith:2021:B5PE6TMHRHZHXBS36TGGPWGWA3
not attested
not anchored
not stored
refs pending
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
arxiv:2103.05569 v2 · 2021-03-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5PE6TMHRHZHXBS36TGGPWGWA3}
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 | 2026-07-05T02:26:18.159152Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f5e4f4d8789f27b865bf4cc67d8d606e5afd0254136aabccfe8dce52d5e8c0b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5PE6TMHRHZHXBS36TGGPWGWA3 \
| 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: 0f5e4f4d8789f27b865bf4cc67d8d606e5afd0254136aabccfe8dce52d5e8c0b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d46ec7824c3fb06a1278114f61e0b5cfc8e09012881221aae39a46135bc65bef",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-03-09T17:20:15Z",
"title_canon_sha256": "faede762796314587b4197e33e29f0200240a6dde28d7ac17c01057ba9862a8f"
},
"schema_version": "1.0",
"source": {
"id": "2103.05569",
"kind": "arxiv",
"version": 2
}
}