Pith Number

pith:UIZNJO3V

pith:2016:UIZNJO3VAAFCQGRYG2FG4AHYH2

not attested not anchored not stored refs pending

Model-Agnostic Interpretability of Machine Learning

Carlos Guestrin, Marco Tulio Ribeiro, Sameer Singh

arxiv:1606.05386 v1 · 2016-06-16 · stat.ML · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{UIZNJO3VAAFCQGRYG2FG4AHYH2}

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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

Global Aggregations of Local Explanations for Black Box models

Is K-fold cross validation the best model selection method for Machine Learning?

On the Properties of Feature Attribution for Supervised Contrastive Learning

Receipt and verification

First computed	2026-05-18T01:12:20.242232Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a232d4bb75000a281a38368a6e00f83ea48c8e9e8d4586f09967e60bee5b3dbe

Aliases

arxiv: 1606.05386 · arxiv_version: 1606.05386v1 · doi: 10.48550/arxiv.1606.05386 · pith_short_12: UIZNJO3VAAFC · pith_short_16: UIZNJO3VAAFCQGRY · pith_short_8: UIZNJO3V

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/UIZNJO3VAAFCQGRYG2FG4AHYH2 \
  | 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: a232d4bb75000a281a38368a6e00f83ea48c8e9e8d4586f09967e60bee5b3dbe

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4cdf0030a3f7c8d804032ed8a824ef45e8df7c98bb6f743fae382bd53bae9566",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-06-16T23:39:41Z",
    "title_canon_sha256": "b44f8621842534ae9a7e36af5a602a03ed368464898aba2ba9e91abe0918f738"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1606.05386",
    "kind": "arxiv",
    "version": 1
  }
}