Pith Number
pith:WUYR36BC
pith:2023:WUYR36BCZUPFM46NHZZL27R4F5
not attested
not anchored
not stored
refs pending
Prompting Large Language Models for Counterfactual Generation: An Empirical Study
arxiv:2305.14791 v2 · 2023-05-24 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WUYR36BCZUPFM46NHZZL27R4F5}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:48:29.748642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5311df822cd1e5673cd3e72bd7e3c2f4021887bf3d154c0315345d8e6252257
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WUYR36BCZUPFM46NHZZL27R4F5 \
| 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: b5311df822cd1e5673cd3e72bd7e3c2f4021887bf3d154c0315345d8e6252257
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "73a1547d83b4fbd5fe68c93bb050b6a23dc22df7611e952a6699aff486c29ad6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-05-24T06:44:32Z",
"title_canon_sha256": "e18484230928230425c0247f42ad1dbe3bc38600ebdc75f42f7b61e57d793f11"
},
"schema_version": "1.0",
"source": {
"id": "2305.14791",
"kind": "arxiv",
"version": 2
}
}