Pith Number
pith:XO3I2QPM
pith:2016:XO3I2QPMBUPQ77OISJB3MVX4P5
not attested
not anchored
not stored
refs pending
A Non-Parametric Learning Approach to Identify Online Human Trafficking
arxiv:1607.08691 v2 · 2016-07-29 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XO3I2QPMBUPQ77OISJB3MVX4P5}
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
· sign in to
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 | 2026-05-18T01:10:01.649263Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bbb68d41ec0d1f0ffdc89243b656fc7f7cda628deb8ded80670d75f059cb5b32
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XO3I2QPMBUPQ77OISJB3MVX4P5 \
| 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: bbb68d41ec0d1f0ffdc89243b656fc7f7cda628deb8ded80670d75f059cb5b32
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da584fbd96ec427f6d3afc8f5863954c51d8aef8dd18558558036d36488392e5",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-07-29T06:05:08Z",
"title_canon_sha256": "f7ea59f24e066cb378b90ba93644e9f6d8937d27b52f7d62191676c5c0ad403c"
},
"schema_version": "1.0",
"source": {
"id": "1607.08691",
"kind": "arxiv",
"version": 2
}
}