Pith Number
pith:4IWB3VE7
pith:2023:4IWB3VE7IZJDXXW3QW6CDI73DD
not attested
not anchored
not stored
refs pending
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
arxiv:2311.01270 v3 · 2023-11-02 · cs.CL · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4IWB3VE7IZJDXXW3QW6CDI73DD}
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
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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 | 2026-07-05T07:48:49.871997Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e22c1dd49f46523bdedb85bc21a3fb18ce9a9845efae8c5ff1eecd6c08f53e02
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4IWB3VE7IZJDXXW3QW6CDI73DD \
| 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: e22c1dd49f46523bdedb85bc21a3fb18ce9a9845efae8c5ff1eecd6c08f53e02
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dba9546ccc2e0bc82c6c62d6777aff9ec9a98d1fee1a6fb8e894a732b97627f9",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-11-02T14:31:25Z",
"title_canon_sha256": "d7d4153aa2d4554e179126479e86457a99a3f1cc7c4eeace0a704581227b83b9"
},
"schema_version": "1.0",
"source": {
"id": "2311.01270",
"kind": "arxiv",
"version": 3
}
}