Pith Number
pith:KPLSH6JJ
pith:2023:KPLSH6JJHTPSXADOAEJOTVD4LQ
not attested
not anchored
not stored
refs pending
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models
arxiv:2305.03025 v1 · 2023-05-04 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPLSH6JJHTPSXADOAEJOTVD4LQ}
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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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 | 2026-07-05T06:07:07.388554Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53d723f9293cdf2b806e0112e9d47c5c3b3159b32f400c0b3eb089731f1a11f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPLSH6JJHTPSXADOAEJOTVD4LQ \
| 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: 53d723f9293cdf2b806e0112e9d47c5c3b3159b32f400c0b3eb089731f1a11f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9a77a6030cadcfbe4ea3aa79ee2a5a013d4de142091e185d2076e34a1bc54468",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-05-04T17:49:09Z",
"title_canon_sha256": "8a835e2a47d68d4db688e8cc6f7fad16440e778e2ac26218d166682f9a08968f"
},
"schema_version": "1.0",
"source": {
"id": "2305.03025",
"kind": "arxiv",
"version": 1
}
}