Pith Number

pith:3E2FSPMP

pith:2024:3E2FSPMPOX3DRCQ2BD7EI6XQPT

not attested not anchored not stored refs resolved

Theoretical Foundations of Conformal Prediction

Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates

The book unifies proofs of key results in conformal prediction to deliver finite-sample guarantees without distributional assumptions.

arxiv:2411.11824 v5 · 2024-11-18 · math.ST · stat.ME · stat.ML · stat.TH

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\pithnumber{3E2FSPMPOX3DRCQ2BD7EI6XQPT}

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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.

Claims

C1strongest claim

The book curates what the authors believe to be some of the most important results in the literature and presents their proofs in a unified language, with illustrations, and with an eye towards pedagogy.

C2weakest assumption

That the selected results are the most important ones and that a unified presentation will successfully bridge the gap for researchers who find the scattered literature difficult to navigate.

C3one line summary

The book curates and presents proofs of important existing results in conformal prediction in a unified pedagogical format with illustrations.

References

36 extracted · 36 resolved · 3 Pith anchors

[1] Exchangeability and related topics 1983

[2] The lifecycle of a statistical model: Model failure detection, identification, and refitting

[3] Uncertainty quantification via cross-validation and its variants under algorithmic stability.arXiv preprint arXiv:2312.14596,

[4] Anastasios N Angelopoulos

[5] Online conformal prediction with decaying step sizes

Formal links

3 machine-checked theorem links

Cited by

27 papers in Pith

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ST-BCP: Tightening Coverage Bound for Backward Conformal Prediction via Non-Conformity Score Transformation

PASC: Pipeline-Aware Conformal Prediction with Joint Coverage Guarantees for Multi-Stage NLP and LLM Pipelines

Receipt and verification

First computed	2026-05-17T23:38:48.682200Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d934593d8f75f6388a1a08fe447af07cd01d14d3345714f919fd36e59c68f929

Aliases

arxiv: 2411.11824 · arxiv_version: 2411.11824v5 · doi: 10.48550/arxiv.2411.11824 · pith_short_12: 3E2FSPMPOX3D · pith_short_16: 3E2FSPMPOX3DRCQ2 · pith_short_8: 3E2FSPMP

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/3E2FSPMPOX3DRCQ2BD7EI6XQPT \
  | 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: d934593d8f75f6388a1a08fe447af07cd01d14d3345714f919fd36e59c68f929

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6d7b2982e3286b84dcf41c3ee96df9ee096b13c0c740fab2297ce8e7a4d7bccd",
    "cross_cats_sorted": [
      "stat.ME",
      "stat.ML",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2024-11-18T18:44:00Z",
    "title_canon_sha256": "8ec8ff8d762c75ff67c471f94599943a6d7e49532df28618e483a4cf73557f81"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2411.11824",
    "kind": "arxiv",
    "version": 5
  }
}