Pith Number
pith:7Z34SNQI
pith:2024:7Z34SNQIIYT5JIVCARGW3JQDSD
not attested
not anchored
not stored
refs pending
PersLLM: A Personified Training Approach for Large Language Models
arxiv:2407.12393 v5 · 2024-07-17 · cs.CL · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7Z34SNQIIYT5JIVCARGW3JQDSD}
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.
Receipt and verification
| First computed | 2026-07-05T11:03:15.675751Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe77c936084627d4a2a2044d6da60390dd613283a4512844e84c547a9466b3e1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7Z34SNQIIYT5JIVCARGW3JQDSD \
| 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: fe77c936084627d4a2a2044d6da60390dd613283a4512844e84c547a9466b3e1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "638f7e27bcae2f0d6443df10d8d417e7ec82aedd4da1b6d003c16a64ee9510b5",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-07-17T08:13:22Z",
"title_canon_sha256": "014bdc813f6772b773a64197531970efafdcf67ec4b0e49e8affb4673062c778"
},
"schema_version": "1.0",
"source": {
"id": "2407.12393",
"kind": "arxiv",
"version": 5
}
}