Pith Number
pith:ASRJNADT
pith:2025:ASRJNADTU2JZ2OII7HJH2CRKTF
not attested
not anchored
not stored
refs pending
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
arxiv:2506.08756 v1 · 2025-06-10 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ASRJNADTU2JZ2OII7HJH2CRKTF}
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 | 2026-07-05T11:19:12.826086Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
04a2968073a6939d3908f9d27d0a2a996485de2853a04448c90b2cd7b14eb59e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ASRJNADTU2JZ2OII7HJH2CRKTF \
| 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: 04a2968073a6939d3908f9d27d0a2a996485de2853a04448c90b2cd7b14eb59e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "29b6b6f2a9e53da8a634b8ef99848914e386b8a17d798347c8b5c1371f845f0d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-06-10T12:53:31Z",
"title_canon_sha256": "7d770372209c2e05fedf6035ec6b64c049802a584c97ba29119ccc7df0377cfd"
},
"schema_version": "1.0",
"source": {
"id": "2506.08756",
"kind": "arxiv",
"version": 1
}
}