Pith Number
pith:BVCHSNJZ
pith:2025:BVCHSNJZ4XV7IP5M7HVKBVVTCZ
not attested
not anchored
not stored
refs pending
Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations
arxiv:2508.14383 v1 · 2025-08-20 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVCHSNJZ4XV7IP5M7HVKBVVTCZ}
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 | 2026-07-05T11:56:30.976070Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d44793539e5ebf43facf9eaa0d6b3166c9d275d3c27e9ff4862b747bebed918
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVCHSNJZ4XV7IP5M7HVKBVVTCZ \
| 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: 0d44793539e5ebf43facf9eaa0d6b3166c9d275d3c27e9ff4862b747bebed918
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7928d2a47d9611109e489de4469d07baed8f97ee9d676a155742910813764046",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-08-20T03:23:20Z",
"title_canon_sha256": "0a5e1c00a3aba703ba6b734ecffb01a54cf333471962b3687dbf287f6826dab3"
},
"schema_version": "1.0",
"source": {
"id": "2508.14383",
"kind": "arxiv",
"version": 1
}
}