Pith Number
pith:XUHG4AGY
pith:2026:XUHG4AGYVFC23ERMNG67PVPMVF
not attested
not anchored
not stored
refs pending
Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning
arxiv:2607.11530 v1 · 2026-07-13 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XUHG4AGYVFC23ERMNG67PVPMVF}
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.
Receipt and verification
| First computed | 2026-07-14T02:22:09.222295Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd0e6e00d8a945ad922c69bdf7d5eca94c58a9d05937ce2a58687464e4469cd0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XUHG4AGYVFC23ERMNG67PVPMVF \
| 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: bd0e6e00d8a945ad922c69bdf7d5eca94c58a9d05937ce2a58687464e4469cd0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e0a716ef85b61cfe2e180b5c49ddee3a341ee34a5a0638778da5bd97abafebf",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-13T13:15:18Z",
"title_canon_sha256": "f0e043387e1dbe2da657da4093dc89826caf1f2a8886aedf064c0f25a66c89e0"
},
"schema_version": "1.0",
"source": {
"id": "2607.11530",
"kind": "arxiv",
"version": 1
}
}