Pith Number
pith:KBTENAXF
pith:2019:KBTENAXFQ66TFDZNA4BTTM3HVA
not attested
not anchored
not stored
refs pending
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
arxiv:1910.09702 v1 · 2019-10-22 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBTENAXFQ66TFDZNA4BTTM3HVA}
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 | 2026-07-05T02:35:49.246135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50664682e587bd328f2d070339b367a804873fac5f5bb94d0a6cbe7dd22ed77a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBTENAXFQ66TFDZNA4BTTM3HVA \
| 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: 50664682e587bd328f2d070339b367a804873fac5f5bb94d0a6cbe7dd22ed77a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "412e81d291aaf38932366cc1362d10bb8ca5bb724550732b0e8b553cdcbd6e2a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-10-22T00:06:52Z",
"title_canon_sha256": "80500c80dadd8292bbcffd9cc4f18977029001e10c67de8e3f48edde4ffe32db"
},
"schema_version": "1.0",
"source": {
"id": "1910.09702",
"kind": "arxiv",
"version": 1
}
}