Pith Number

pith:I72C23YL

pith:2016:I72C23YLAMUHAUBOSCAKOCAH6S

not attested not anchored not stored refs pending

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Botond Cseke, Ryota Tomioka, Sebastian Nowozin

arxiv:1606.00709 v1 · 2016-06-02 · stat.ML · cs.LG · stat.ME

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{I72C23YLAMUHAUBOSCAKOCAH6S}

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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

3 papers in Pith

Recovering Sub-threshold S-wave Arrivals in Deep Learning Phase Pickers via Shape-Aware Loss

Demystifying MMD GANs

Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions

Receipt and verification

First computed	2026-05-18T01:13:03.887257Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

47f42d6f0b032870502e9080a70807f49706ba076237ed9296a5c91ee2a1e3b9

Aliases

arxiv: 1606.00709 · arxiv_version: 1606.00709v1 · doi: 10.48550/arxiv.1606.00709 · pith_short_12: I72C23YLAMUH · pith_short_16: I72C23YLAMUHAUBO · pith_short_8: I72C23YL

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/I72C23YLAMUHAUBOSCAKOCAH6S \
  | 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: 47f42d6f0b032870502e9080a70807f49706ba076237ed9296a5c91ee2a1e3b9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ad081774884002a7421a904ce4d81d65acb9c64d2471b1d3003c04f3f3e96894",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ME"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-06-02T14:53:33Z",
    "title_canon_sha256": "e074c8faa0860873444817df611a43612478a06f37d15cc3653cc3d43c468a77"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1606.00709",
    "kind": "arxiv",
    "version": 1
  }
}