Pith Number
pith:YFLTO3UM
pith:2022:YFLTO3UM3I363SAVYIJK6X4PJY
not attested
not anchored
not stored
refs pending
Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer
arxiv:2201.02761 v1 · 2022-01-08 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YFLTO3UM3I363SAVYIJK6X4PJY}
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 | 2026-07-05T03:46:48.599822Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c157376e8cda37edc815c212af5f8f4e18ea83b359e15d0f3210883a7bbcce85
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YFLTO3UM3I363SAVYIJK6X4PJY \
| 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: c157376e8cda37edc815c212af5f8f4e18ea83b359e15d0f3210883a7bbcce85
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fba966aee7a7edcb6ce89d8367c6d45907e5e0efc5d12ff4619533e11e075e7b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-08T04:44:59Z",
"title_canon_sha256": "eae873e50b0d42c1c2155b679333267d80ba2c4877d3469b2241745256b8aea8"
},
"schema_version": "1.0",
"source": {
"id": "2201.02761",
"kind": "arxiv",
"version": 1
}
}