Pith Number
pith:Z2PUSD43
pith:2026:Z2PUSD437NOAFNYG4BLWBN3547
not attested
not anchored
not stored
refs pending
Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning
arxiv:2605.26012 v1 · 2026-05-25 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z2PUSD437NOAFNYG4BLWBN3547}
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 | 2026-05-26T02:05:23.215935Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce9f490f9bfb5c02b706e05760b77de7c8135f8f0a783b9a9c22806714fcba84
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z2PUSD437NOAFNYG4BLWBN3547 \
| 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: ce9f490f9bfb5c02b706e05760b77de7c8135f8f0a783b9a9c22806714fcba84
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c41629f7b2d1c7e946f8fe1ba466f094cb1604b1ba0dfdbb0d7eaecc10792447",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-25T16:31:33Z",
"title_canon_sha256": "e9230357fbdda8d0a79ab241afd724b48ea20b2b9ff79f4ef7723a0b140e29f1"
},
"schema_version": "1.0",
"source": {
"id": "2605.26012",
"kind": "arxiv",
"version": 1
}
}