Pith Number
pith:PHHZ3Y46
pith:2023:PHHZ3Y46FT7ZSTA5CJSN65CDKB
not attested
not anchored
not stored
refs pending
A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
arxiv:2311.02099 v4 · 2023-10-30 · cs.AI · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PHHZ3Y46FT7ZSTA5CJSN65CDKB}
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
✓
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 | 2026-07-05T09:25:35.591718Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79cf9de39e2cff994c1d1264df7443504e35e514f9e6e2d694f5d1eb3a7dc2c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PHHZ3Y46FT7ZSTA5CJSN65CDKB \
| 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: 79cf9de39e2cff994c1d1264df7443504e35e514f9e6e2d694f5d1eb3a7dc2c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9565c25c57ac55cc544266c08198204630ff89263bd9619a77b5585effb0f334",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-10-30T21:52:37Z",
"title_canon_sha256": "278c546439030bd43ed4375d0af15b9641403a7ac466dc9743880f78d6f93174"
},
"schema_version": "1.0",
"source": {
"id": "2311.02099",
"kind": "arxiv",
"version": 4
}
}