Pith Number

pith:NDDMPX5X

pith:2020:NDDMPX5XESFLQ2YCQTHRBRWMHO

not attested not anchored not stored refs pending

A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation

Sheng Shi, Wei Fan, Xinfeng Zhang

arxiv:2002.07434 v1 · 2020-02-18 · cs.LG · cs.AI · 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{NDDMPX5XESFLQ2YCQTHRBRWMHO}

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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

MUPAX: Multidimensional Problem Agnostic eXplainable AI

Receipt and verification

First computed	2026-07-05T00:42:02.004864Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

68c6c7dfb7248ab86b0284cf10c6cc3ba1d53e88f720348d588c9731f971d1c8

Aliases

arxiv: 2002.07434 · arxiv_version: 2002.07434v1 · doi: 10.48550/arxiv.2002.07434 · pith_short_12: NDDMPX5XESFL · pith_short_16: NDDMPX5XESFLQ2YC · pith_short_8: NDDMPX5X

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/NDDMPX5XESFLQ2YCQTHRBRWMHO \
  | 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: 68c6c7dfb7248ab86b0284cf10c6cc3ba1d53e88f720348d588c9731f971d1c8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f71d4902d385dc137453d6995ef02871ab2db230fa79c6ad6500403fb73b0a22",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-02-18T09:03:10Z",
    "title_canon_sha256": "4b403075e89d6b864e690f345e75923ae31939db3b29c7b86f987054eaf90e5b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2002.07434",
    "kind": "arxiv",
    "version": 1
  }
}