Pith Number
pith:BNX4QV7X
pith:2023:BNX4QV7XW65TCBARA6DNCJW2SC
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refs pending
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation
arxiv:2309.16826 v1 · 2023-09-28 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BNX4QV7XW65TCBARA6DNCJW2SC}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T06:55:27.779142Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b6fc857f7b7bb3104110786d126da90a856fa2ae99cb7afba98d838516eb0b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BNX4QV7XW65TCBARA6DNCJW2SC \
| 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: 0b6fc857f7b7bb3104110786d126da90a856fa2ae99cb7afba98d838516eb0b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d03cb2cc86c4d32613065dd66ad21ba20205561d7a76883fcb8da0a15ac959d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-09-28T20:15:53Z",
"title_canon_sha256": "f7a8d3d8fed33f0990bdb978e0851dc3a9e8fe3c1bd5cf183a3ad44a693e9c10"
},
"schema_version": "1.0",
"source": {
"id": "2309.16826",
"kind": "arxiv",
"version": 1
}
}