Pith Number
pith:TLNG5F5I
pith:2017:TLNG5F5IBX7J3DQ3V3DQDQH2UY
not attested
not anchored
not stored
refs pending
Fast and Robust Detection of Fallen People from a Mobile Robot
arxiv:1703.03349 v1 · 2017-03-09 · cs.RO · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TLNG5F5IBX7J3DQ3V3DQDQH2UY}
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 | 2026-05-17T23:49:18.077464Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9ada6e97a80dfe9d8e1baec701c0faa6071faa6f0a8274327ad4f28f96663e7c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TLNG5F5IBX7J3DQ3V3DQDQH2UY \
| 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: 9ada6e97a80dfe9d8e1baec701c0faa6071faa6f0a8274327ad4f28f96663e7c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8280f9b0b00915b034e50e65972c259a1283cb08bd9fd65572dc431ba804103b",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-03-09T17:15:18Z",
"title_canon_sha256": "24167bc52a4a8f98cc23375a3fdf07e2dfa352eaef130af17788a06ddce34195"
},
"schema_version": "1.0",
"source": {
"id": "1703.03349",
"kind": "arxiv",
"version": 1
}
}