pith. sign in
Pith Number

pith:ONXHD6WN

pith:2016:ONXHD6WNVXQMS2ZG7P5E2UGC4C
not attested not anchored not stored refs pending

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks

Bhargava U. Kota, Devansh Arpit, Venu Govindaraju, Yingbo Zhou

arxiv:1603.01431 v6 · 2016-03-04 · stat.ML · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONXHD6WNVXQMS2ZG7P5E2UGC4C}

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 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

Receipt and verification
First computed 2026-05-18T01:11:12.584034Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

736e71facdade0c96b26fbfa4d50c2e09dcef73b3ab6b2c668c00f3760f99953

Aliases

arxiv: 1603.01431 · arxiv_version: 1603.01431v6 · doi: 10.48550/arxiv.1603.01431 · pith_short_12: ONXHD6WNVXQM · pith_short_16: ONXHD6WNVXQMS2ZG · pith_short_8: ONXHD6WN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONXHD6WNVXQMS2ZG7P5E2UGC4C \
  | 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: 736e71facdade0c96b26fbfa4d50c2e09dcef73b3ab6b2c668c00f3760f99953
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "76865838c5ae84f8dde0b2ff7ab27eef25c5e65beb616f1eb88394961fcb285c",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-03-04T12:01:58Z",
    "title_canon_sha256": "bcdb561d8a35579025afdf870fa37ed5cfe00476996727861c55a9ac1a31a626"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1603.01431",
    "kind": "arxiv",
    "version": 6
  }
}