Pith Number

pith:QMYVMWT3

pith:2019:QMYVMWT3XGLBVIF4ABBS5IBQ7F

not attested not anchored not stored refs pending

Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

Koby Bibas, Meir Feder, Yaniv Fogel

arxiv:1904.12286 v2 · 2019-04-28 · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{QMYVMWT3XGLBVIF4ABBS5IBQ7F}

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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

Skillful joint probabilistic weather forecasting from marginals

Receipt and verification

First computed	2026-07-05T00:32:12.162512Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8331565a7bb9961aa0bc00432ea030f9715d9bd37e2c63f1a45b0c6e1fee0f55

Aliases

arxiv: 1904.12286 · arxiv_version: 1904.12286v2 · doi: 10.48550/arxiv.1904.12286 · pith_short_12: QMYVMWT3XGLB · pith_short_16: QMYVMWT3XGLBVIF4 · pith_short_8: QMYVMWT3

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/QMYVMWT3XGLBVIF4ABBS5IBQ7F \
  | 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: 8331565a7bb9961aa0bc00432ea030f9715d9bd37e2c63f1a45b0c6e1fee0f55

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "14c027158da81146087980d57a6038e20e680d1d9a1d3d66ce4b11e1b09b91d1",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-04-28T09:35:50Z",
    "title_canon_sha256": "c3b9ec07ef139652e942f0f98fa5ebc348c0e877f2e101e7277b34cecfad2481"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1904.12286",
    "kind": "arxiv",
    "version": 2
  }
}