Pith Number
pith:3TACGZN7
pith:2015:3TACGZN7IUQLAWGS2O5CP7BED3
not attested
not anchored
not stored
refs pending
Application of neural networks to identify trolls in social networks
arxiv:1504.07416 v1 · 2015-04-28 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3TACGZN7IUQLAWGS2O5CP7BED3}
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 | 2026-05-18T01:09:55.852267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dcc02365bf4520b058d2d3ba27fc241ef4a2a48b869d5276c88c645d1031f604
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3TACGZN7IUQLAWGS2O5CP7BED3 \
| 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: dcc02365bf4520b058d2d3ba27fc241ef4a2a48b869d5276c88c645d1031f604
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "928f48fd9f50d8e68e550544a60d03d4221974ff12b834ee569092ec8b77fc63",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2015-04-28T10:39:49Z",
"title_canon_sha256": "985b72b1ea75c2266c9b34e1cedaad05876fc4dce7a35240df6238bc5b331cb8"
},
"schema_version": "1.0",
"source": {
"id": "1504.07416",
"kind": "arxiv",
"version": 1
}
}