Pith Number
pith:BMZYFKU4
pith:2022:BMZYFKU4ERT6LSK5IU4YVLJEF4
not attested
not anchored
not stored
refs pending
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
arxiv:2210.14064 v3 · 2022-10-25 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BMZYFKU4ERT6LSK5IU4YVLJEF4}
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 | 2026-07-05T05:53:50.537208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b3382aa9c2467e5c95d45398aad242f2f8718b631aa514fdc422d507e2ec9fd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BMZYFKU4ERT6LSK5IU4YVLJEF4 \
| 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: 0b3382aa9c2467e5c95d45398aad242f2f8718b631aa514fdc422d507e2ec9fd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57ff2cf3a68178a7fcf0ebafae42ac09c0d5677ae5d57bbe4c4682adbc41c64d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-10-25T14:45:15Z",
"title_canon_sha256": "dd43836d534f63d1823860431124c6378205936b062933020b08145f1edbe589"
},
"schema_version": "1.0",
"source": {
"id": "2210.14064",
"kind": "arxiv",
"version": 3
}
}