Pith Number
pith:6HFYAO3D
pith:2025:6HFYAO3DBBG6GD3HPHD6F6J5V7
not attested
not anchored
not stored
refs pending
MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework
arxiv:2506.02460 v1 · 2025-06-03 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6HFYAO3DBBG6GD3HPHD6F6J5V7}
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 | 2026-07-05T11:15:02.373579Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1cb803b63084de30f6779c7e2f93dafcd8f79d4cb1c1e256cbe2019f1b901e5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6HFYAO3DBBG6GD3HPHD6F6J5V7 \
| 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: f1cb803b63084de30f6779c7e2f93dafcd8f79d4cb1c1e256cbe2019f1b901e5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2b0fbcf865b52ab9bfc8605bce205434a0d2a6a9d6bec9ec191ccdc4c6727217",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-06-03T05:23:09Z",
"title_canon_sha256": "7ee10ed983c660502566027e8fef6e22f2411e18d113a42c68cd89a3dc7464e9"
},
"schema_version": "1.0",
"source": {
"id": "2506.02460",
"kind": "arxiv",
"version": 1
}
}