Pith Number
pith:ORE7X65U
pith:2024:ORE7X65USUW5I7UNLDTUJV5GHC
not attested
not anchored
not stored
refs pending
Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
arxiv:2412.15109 v1 · 2024-12-19 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ORE7X65USUW5I7UNLDTUJV5GHC}
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
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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 | 2026-05-22T14:32:35.310666Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7449fbfbb4952dd47e8d58e744d7a638a1af998a49ddd38c5f789ce932689d96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ORE7X65USUW5I7UNLDTUJV5GHC \
| 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: 7449fbfbb4952dd47e8d58e744d7a638a1af998a49ddd38c5f789ce932689d96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "431aa93c284fc2f0d469d8850435f01a4c890caf950284350f40a25ff5f7b2c8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-12-19T17:52:50Z",
"title_canon_sha256": "93dcc00eecaf27500583da38440693e125b2a821ad0272d9d3fe252fc67bb77e"
},
"schema_version": "1.0",
"source": {
"id": "2412.15109",
"kind": "arxiv",
"version": 1
}
}