Pith Number

pith:AAXDDEKT

pith:2023:AAXDDEKTRAH7PZCPQ5GEMB72T7

not attested not anchored not stored refs pending

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning

Bram Grooten, Decebal Constantin Mocanu, Elena Mocanu, Ghada Sokar, Matthew E. Taylor, Mykola Pechenizkiy, Shibhansh Dohare

arxiv:2302.06548 v1 · 2023-02-13 · cs.LG · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{AAXDDEKTRAH7PZCPQ5GEMB72T7}

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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

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling

Receipt and verification

First computed	2026-07-05T05:41:12.052333Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

002e319153880ff7e44f874c4607fa9feb97a98b9e93b008b8420b956100d7e9

Aliases

arxiv: 2302.06548 · arxiv_version: 2302.06548v1 · doi: 10.48550/arxiv.2302.06548 · pith_short_12: AAXDDEKTRAH7 · pith_short_16: AAXDDEKTRAH7PZCP · pith_short_8: AAXDDEKT

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/AAXDDEKTRAH7PZCPQ5GEMB72T7 \
  | 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: 002e319153880ff7e44f874c4607fa9feb97a98b9e93b008b8420b956100d7e9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c2783001bc685fcbc1e5628c03659ea5298e92853d4d33653860c8be4b22ab6b",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-02-13T17:45:03Z",
    "title_canon_sha256": "b4eacbcec71a7da3635695aa89589b3e5da3cf14acad7e677f004cabcf81961d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2302.06548",
    "kind": "arxiv",
    "version": 1
  }
}