Pith Number
pith:IJJ4CTLP
pith:2023:IJJ4CTLP3LKA26BHF2E47GOHMZ
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refs pending
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
arxiv:2309.06751 v1 · 2023-09-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IJJ4CTLP3LKA26BHF2E47GOHMZ}
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 | 2026-07-05T07:05:47.525815Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4253c14d6fdad40d78272e89cf99c7666f718b0c8a906fb927be2dd5a5f4a92c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IJJ4CTLP3LKA26BHF2E47GOHMZ \
| 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: 4253c14d6fdad40d78272e89cf99c7666f718b0c8a906fb927be2dd5a5f4a92c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af1e732c9d8271fa68038b1162291652cdee3b7620d90a8968b7b06e82295a28",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-13T06:48:32Z",
"title_canon_sha256": "b426c9fb95e6257a11950a1210c2badcff8d60190893dd87a9c374eb49bf9438"
},
"schema_version": "1.0",
"source": {
"id": "2309.06751",
"kind": "arxiv",
"version": 1
}
}