Pith Number
pith:D5U2CIR5
pith:2022:D5U2CIR5ZD5ASGQGZRUE7LKIAQ
not attested
not anchored
not stored
refs pending
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
arxiv:2204.09868 v1 · 2022-04-21 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D5U2CIR5ZD5ASGQGZRUE7LKIAQ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:16:44.078407Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f69a1223dc8fa091a06cc684fad48043c1def0d3c62ac3f4c030391ed358d80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D5U2CIR5ZD5ASGQGZRUE7LKIAQ \
| 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: 1f69a1223dc8fa091a06cc684fad48043c1def0d3c62ac3f4c030391ed358d80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fe79ba5e9f4eec9e99a8d2e06cd377d915dfb10872d838981b5477e01a703a7",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-04-21T03:53:19Z",
"title_canon_sha256": "829ff2248324fa07c1555f0d39e21626ea87e1a5efe3689ebe45c0fc7ccde19c"
},
"schema_version": "1.0",
"source": {
"id": "2204.09868",
"kind": "arxiv",
"version": 1
}
}