Pith Number
pith:64IO6GUK
pith:2026:64IO6GUKSKXEO4EUILOLG5GC7Y
not attested
not anchored
not stored
refs pending
MAPL: Multi-Objective Preference Learning for Robot Locomotion
arxiv:2606.25398 v1 · 2026-06-24 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64IO6GUKSKXEO4EUILOLG5GC7Y}
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
· sign in to
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 | 2026-06-25T01:18:04.312994Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f710ef1a8a92ae47709442dcb374c2fe23b34eb75038c6de61d9a023f1548077
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64IO6GUKSKXEO4EUILOLG5GC7Y \
| 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: f710ef1a8a92ae47709442dcb374c2fe23b34eb75038c6de61d9a023f1548077
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee72b3afe5015c5fe8bcf8dc91288a3b9ff7ee09baebff2607ee432f6548279e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-06-24T04:52:04Z",
"title_canon_sha256": "2e3ecc6203324850fe89fac70fa42ab9d0620aa6bb2e8e5a832d3434c7d8cf0e"
},
"schema_version": "1.0",
"source": {
"id": "2606.25398",
"kind": "arxiv",
"version": 1
}
}