Pith Number
pith:3GKYZSIC
pith:2015:3GKYZSICFXASMT76WIDZ32PZJF
not attested
not anchored
not stored
refs pending
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks
arxiv:1510.05198 v4 · 2015-10-18 · cs.SI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GKYZSICFXASMT76WIDZ32PZJF}
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 | 2026-05-18T00:44:39.032588Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9958cc9022dc1264ffeb2079de9f94960f1e573304fe5f5e954d34244a8dac9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GKYZSICFXASMT76WIDZ32PZJF \
| 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: d9958cc9022dc1264ffeb2079de9f94960f1e573304fe5f5e954d34244a8dac9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0c1bd66e30a61c0fb3d8d30c952f70a3d5827b9e4cc34a0faa6a427421203110",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SI",
"submitted_at": "2015-10-18T04:26:08Z",
"title_canon_sha256": "e6b3ebb02c36cb299cbb966b51204c2ce1348aba78ecd55807a4a97ec8f5e36b"
},
"schema_version": "1.0",
"source": {
"id": "1510.05198",
"kind": "arxiv",
"version": 4
}
}