Pith Number
pith:XZ7GRVPQ
pith:2025:XZ7GRVPQIBJOJPG3DLGAU6RYJB
not attested
not anchored
not stored
refs pending
Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning
arxiv:2503.11646 v1 · 2025-03-14 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XZ7GRVPQIBJOJPG3DLGAU6RYJB}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:31:36.609352Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be7e68d5f04052e4bcdb1acc0a7a384849caea639c53e74f781d3e56f292900f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZ7GRVPQIBJOJPG3DLGAU6RYJB \
| 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: be7e68d5f04052e4bcdb1acc0a7a384849caea639c53e74f781d3e56f292900f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e509c1836f210801433f5bc60d23199a78432472e8713c328067d713078cc079",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-03-14T17:59:07Z",
"title_canon_sha256": "5aa9291f351842c02580deb56bc6722cfb56cae21b8ef2bbaca2a47013223c4f"
},
"schema_version": "1.0",
"source": {
"id": "2503.11646",
"kind": "arxiv",
"version": 1
}
}