Pith Number
pith:BVELH5N2
pith:2017:BVELH5N2P3QIJMEUT6DFVLQG4P
not attested
not anchored
not stored
refs pending
Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence
arxiv:1711.00885 v1 · 2017-11-02 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVELH5N2P3QIJMEUT6DFVLQG4P}
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
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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 | 2026-05-18T00:06:12.096001Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d48b3f5ba7ee084b0949f865aae06e3d5629f637b3755b95251930813467f29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVELH5N2P3QIJMEUT6DFVLQG4P \
| 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: 0d48b3f5ba7ee084b0949f865aae06e3d5629f637b3755b95251930813467f29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "deacd5f086b937385073a897445365a9c46fa65748d324d885daac2f91cf0922",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2017-11-02T18:51:32Z",
"title_canon_sha256": "4cf2281c6b9c488c0d6e04632a8df5dfdf21c561795830dd660ee7d609e32eb2"
},
"schema_version": "1.0",
"source": {
"id": "1711.00885",
"kind": "arxiv",
"version": 1
}
}