Pith Number
pith:QXBMCSVW
pith:2025:QXBMCSVWSSTSQ5E4KNMQ35KVMS
not attested
not anchored
not stored
refs pending
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
arxiv:2504.21117 v3 · 2025-04-29 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QXBMCSVWSSTSQ5E4KNMQ35KVMS}
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.
Receipt and verification
| First computed | 2026-07-05T12:08:02.416548Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
85c2c14ab694a728749c53590df55564a2fab9373070d672d7cb3707ddd2daa0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QXBMCSVWSSTSQ5E4KNMQ35KVMS \
| 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: 85c2c14ab694a728749c53590df55564a2fab9373070d672d7cb3707ddd2daa0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ffab5d5501da489931e77b2642bdda79fb6c3f6388583cea5f0918d08ecff7d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-04-29T18:56:12Z",
"title_canon_sha256": "fd97231e1a14fe90e050d05f7e36436e658baf966582bfb037ec60585ac06c6f"
},
"schema_version": "1.0",
"source": {
"id": "2504.21117",
"kind": "arxiv",
"version": 3
}
}