Pith Number

pith:NKD5LWFN

pith:2017:NKD5LWFNAUQVXWRMFWJMZHVPWU

not attested not anchored not stored refs pending

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

Adams Wei Yu, Bo Lang, Bo Li, Lei Huang, Xianglong Liu, Yongliang Wang

arxiv:1709.06079 v2 · 2017-09-16 · cs.LG

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\usepackage{pith}
\pithnumber{NKD5LWFNAUQVXWRMFWJMZHVPWU}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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

1 paper in Pith

Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling

Receipt and verification

First computed	2026-05-18T00:29:59.894356Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6a87d5d8ad05215bda2c2d92cc9eafb528330cb6ecdcffa389334fef891c4c24

Aliases

arxiv: 1709.06079 · arxiv_version: 1709.06079v2 · doi: 10.48550/arxiv.1709.06079 · pith_short_12: NKD5LWFNAUQV · pith_short_16: NKD5LWFNAUQVXWRM · pith_short_8: NKD5LWFN

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NKD5LWFNAUQVXWRMFWJMZHVPWU \
  | 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: 6a87d5d8ad05215bda2c2d92cc9eafb528330cb6ecdcffa389334fef891c4c24

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fa738ec6ee980486703c7a884c05ff2bac669aef1d3753cce16bb06619069efa",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-09-16T09:56:55Z",
    "title_canon_sha256": "f1b7ad29bd7dd983473702f00d4b0b8b2c2ad434a8f8068c573f48e513a841c3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.06079",
    "kind": "arxiv",
    "version": 2
  }
}