Pith Number

pith:PND5TQXA

pith:2019:PND5TQXA32IXN2OXEAFUE5ALVP

not attested not anchored not stored refs pending

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Adrien Gaidon, Colin Wei, Kaidi Cao, Nikos Arechiga, Tengyu Ma

arxiv:1906.07413 v2 · 2019-06-18 · cs.LG · cs.CV · stat.ML

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\usepackage{pith}
\pithnumber{PND5TQXA32IXN2OXEAFUE5ALVP}

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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

2 papers in Pith

Quantile Adaptive Temperature Scaling for Confidence Calibration

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight

Receipt and verification

First computed	2026-07-05T00:15:06.546913Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7b47d9c2e0de9176e9d7200b42740babc1e4aa19e78a94fe4e7a8e3c30916e8f

Aliases

arxiv: 1906.07413 · arxiv_version: 1906.07413v2 · doi: 10.48550/arxiv.1906.07413 · pith_short_12: PND5TQXA32IX · pith_short_16: PND5TQXA32IXN2OX · pith_short_8: PND5TQXA

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/PND5TQXA32IXN2OXEAFUE5ALVP \
  | 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: 7b47d9c2e0de9176e9d7200b42740babc1e4aa19e78a94fe4e7a8e3c30916e8f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "624d4b35700c5a50accc9b7e42ae5a4883e2a759f86140a5a9a99ae574ae2f6b",
    "cross_cats_sorted": [
      "cs.CV",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-06-18T07:21:18Z",
    "title_canon_sha256": "4eff39ac2901d7a24df89d93428fa0dc4b18984033cfac331f887b8db440433b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1906.07413",
    "kind": "arxiv",
    "version": 2
  }
}