Pith Number

pith:ZUPGOOEA

pith:2019:ZUPGOOEAUHFEPNXF6ZT7OS4I3Q

not attested not anchored not stored refs pending

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Iuliia Pliushch, Martin Mundt, Sagnik Majumder, Visvanathan Ramesh, Yongwon Hong

arxiv:1905.12019 v5 · 2019-05-28 · cs.LG · cs.CV · cs.NE · 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{ZUPGOOEAUHFEPNXF6ZT7OS4I3Q}

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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

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

Receipt and verification

First computed	2026-07-05T04:10:33.445449Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cd1e673880a1ca47b6e5f667f74b88dc2b5c8f8aeb96f000b4541a72ec3c131c

Aliases

arxiv: 1905.12019 · arxiv_version: 1905.12019v5 · doi: 10.48550/arxiv.1905.12019 · pith_short_12: ZUPGOOEAUHFE · pith_short_16: ZUPGOOEAUHFEPNXF · pith_short_8: ZUPGOOEA

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/ZUPGOOEAUHFEPNXF6ZT7OS4I3Q \
  | 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: cd1e673880a1ca47b6e5f667f74b88dc2b5c8f8aeb96f000b4541a72ec3c131c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "648420051f5195a232e1f47dfa1474bdfaeb3dfdac936550b56a30f13417f86e",
    "cross_cats_sorted": [
      "cs.CV",
      "cs.NE",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-05-28T18:26:04Z",
    "title_canon_sha256": "63299a340e708f5c8b6ca37a99e2d3526ccf2edc8cb09a69b40f33cf3835e431"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1905.12019",
    "kind": "arxiv",
    "version": 5
  }
}