Pith Number
pith:LBJ6SOUZ
pith:2018:LBJ6SOUZOWA4ATMTL4QYSZOX22
not attested
not anchored
not stored
refs pending
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning
arxiv:1810.01912 v1 · 2018-10-03 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LBJ6SOUZOWA4ATMTL4QYSZOX22}
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 | 2026-05-18T00:04:06.988109Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5853e93a997581c04d935f218965d7d6a77dbce0947d14bd4fe25b74ecf6dae4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LBJ6SOUZOWA4ATMTL4QYSZOX22 \
| 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: 5853e93a997581c04d935f218965d7d6a77dbce0947d14bd4fe25b74ecf6dae4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ccbcd34223c68f6a073fabfd9c99b1d35c4689661636ce7dfcb3052aa85f85be",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-10-03T18:45:40Z",
"title_canon_sha256": "8fa20d3def0b85a5ec47636bfd8987574e1dcf52eeafb828caa205e1de472762"
},
"schema_version": "1.0",
"source": {
"id": "1810.01912",
"kind": "arxiv",
"version": 1
}
}