Pith Number
pith:Y735HMZE
pith:2024:Y735HMZER6UGURPI3B4JDKLLHV
not attested
not anchored
not stored
refs pending
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
arxiv:2410.19290 v1 · 2024-10-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y735HMZER6UGURPI3B4JDKLLHV}
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 | 2026-07-05T09:25:54.448735Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c7f7d3b3248fa86a45e8d87891a96b3d6781a2b87005464970ecacf96ff9a1b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y735HMZER6UGURPI3B4JDKLLHV \
| 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: c7f7d3b3248fa86a45e8d87891a96b3d6781a2b87005464970ecacf96ff9a1b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac7d256caba84f5fefc08fead001c8547c4b99275fb6bd33d944bc707eda98bc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-10-25T03:48:51Z",
"title_canon_sha256": "9900b3e29e013bf0bbb7784a339fd73fc6796cb823daaec1f9db60ef4450d63c"
},
"schema_version": "1.0",
"source": {
"id": "2410.19290",
"kind": "arxiv",
"version": 1
}
}