Pith Number
pith:ZBDXACQL
pith:2024:ZBDXACQLRBFAMDQ5I5J7NQYL7X
not attested
not anchored
not stored
refs pending
IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
arxiv:2405.01472 v1 · 2024-05-02 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZBDXACQLRBFAMDQ5I5J7NQYL7X}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:14:45.620101Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c847700a0b884a060e1d4753f6c30bfdc7c684fbb63758b5d011d8a4ce9cd13a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZBDXACQLRBFAMDQ5I5J7NQYL7X \
| 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: c847700a0b884a060e1d4753f6c30bfdc7c684fbb63758b5d011d8a4ce9cd13a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "459e58df8d16b69bbf774099bc71a9a1f6dad3b28e1dd13291d4d91ae7f6a185",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-05-02T17:06:19Z",
"title_canon_sha256": "42363f876d37f3527dff966b2245dd1a49993a1e22d1a91c0493163a2c414dbe"
},
"schema_version": "1.0",
"source": {
"id": "2405.01472",
"kind": "arxiv",
"version": 1
}
}