Pith Number
pith:QMYM3ZNE
pith:2017:QMYM3ZNETSU4SNOJOBGC5NAYUG
not attested
not anchored
not stored
refs pending
Towards a Practical Pedestrian Distraction Detection Framework using Wearables
arxiv:1710.03755 v1 · 2017-10-10 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QMYM3ZNETSU4SNOJOBGC5NAYUG}
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
✓
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 | 2026-05-18T00:33:06.070058Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8330cde5a49ca9c935c9704c2eb418a1baf92d080cbd7cbb2cc0780384a37751
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QMYM3ZNETSU4SNOJOBGC5NAYUG \
| 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: 8330cde5a49ca9c935c9704c2eb418a1baf92d080cbd7cbb2cc0780384a37751
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b89c19378e5c663e7cb1216a6ac3829dd3e0b5e0886e180c22f0c29c48d609c4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2017-10-10T15:50:16Z",
"title_canon_sha256": "81fb77ed7584feedb1e844ed745a78ba2198609ace05a153da789c50b6f9f0cc"
},
"schema_version": "1.0",
"source": {
"id": "1710.03755",
"kind": "arxiv",
"version": 1
}
}