Pith Number
pith:7O2Q5IEX
pith:2022:7O2Q5IEX2EYD2U3W27L7PDJ3SA
not attested
not anchored
not stored
refs pending
APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations
arxiv:2209.08207 v1 · 2022-09-17 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7O2Q5IEX2EYD2U3W27L7PDJ3SA}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:58:18.447729Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fbb50ea097d1303d5376d7d7f78d3b90085ef2d5693a0880b8bc497df3109e34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7O2Q5IEX2EYD2U3W27L7PDJ3SA \
| 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: fbb50ea097d1303d5376d7d7f78d3b90085ef2d5693a0880b8bc497df3109e34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "281c14f0ef06c0e275e6fe33ed79f781d5b86531c4a457065b7f741eef3bbad7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-09-17T00:50:24Z",
"title_canon_sha256": "4d4f4af6c416a7d830ab9c49f9212758e9be34fee40f497a25a8889a6271fafc"
},
"schema_version": "1.0",
"source": {
"id": "2209.08207",
"kind": "arxiv",
"version": 1
}
}