Pith Number
pith:QFIYMMFQ
pith:2024:QFIYMMFQXZUNLUVREQVGGFWBIX
not attested
not anchored
not stored
refs pending
PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers
arxiv:2409.13683 v2 · 2024-09-20 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QFIYMMFQXZUNLUVREQVGGFWBIX}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:28:22.146865Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
81518630b0be68d5d2b1242a6316c145c03a95c3a94945f047d970e3bdad6ba6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QFIYMMFQXZUNLUVREQVGGFWBIX \
| 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: 81518630b0be68d5d2b1242a6316c145c03a95c3a94945f047d970e3bdad6ba6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4b46816f2ab3cbbd84618a905286df9648f9b75c7de2b715ce9db60bbb71b655",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-09-20T17:51:24Z",
"title_canon_sha256": "62408f1b2c9b2d2c770b0be95eeb00c095c0b7970784f37401574963466e1cf4"
},
"schema_version": "1.0",
"source": {
"id": "2409.13683",
"kind": "arxiv",
"version": 2
}
}