Pith Number
pith:L4OFJQYF
pith:2026:L4OFJQYFJ42VUVFJYKLCSQRKK3
not attested
not anchored
not stored
refs pending
Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning
arxiv:2606.20871 v1 · 2026-06-18 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L4OFJQYFJ42VUVFJYKLCSQRKK3}
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 | 2026-06-23T00:12:01.389135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f1c54c3054f355a54a9c29629422a56ef112bfcdeb319015f63ea1b596fc963
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L4OFJQYFJ42VUVFJYKLCSQRKK3 \
| 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: 5f1c54c3054f355a54a9c29629422a56ef112bfcdeb319015f63ea1b596fc963
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "826c1d7bcce5b16d2a4942cb03e5939b1bb41ac6999345df5de145d008db8d1f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-06-18T19:02:08Z",
"title_canon_sha256": "792aac711530489bbc78578a32d49d6674506ab88dee5f85a7735130c9397faf"
},
"schema_version": "1.0",
"source": {
"id": "2606.20871",
"kind": "arxiv",
"version": 1
}
}