Pith Number

pith:MM3YABZH

pith:2020:MM3YABZHJ4JG6MN3C4IHVRQL4M

not attested not anchored not stored refs pending

Conformal Prediction: a Unified Review of Theory and New Challenges

Gianluca Zeni, Matteo Fontana, Simone Vantini

arxiv:2005.07972 v2 · 2020-05-16 · cs.LG · econ.EM · stat.ME · 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{MM3YABZHJ4JG6MN3C4IHVRQL4M}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

Uncertainty Quantification via Invariant-Measure Conformal Prediction

Receipt and verification

First computed	2026-07-05T07:39:23.922408Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

63378007274f126f31bb17107ac60be33b8938a2570e521d2e7c7805322b3d27

Aliases

arxiv: 2005.07972 · arxiv_version: 2005.07972v2 · doi: 10.48550/arxiv.2005.07972 · pith_short_12: MM3YABZHJ4JG · pith_short_16: MM3YABZHJ4JG6MN3 · pith_short_8: MM3YABZH

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/MM3YABZHJ4JG6MN3C4IHVRQL4M \
  | 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: 63378007274f126f31bb17107ac60be33b8938a2570e521d2e7c7805322b3d27

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a4d1bbc2f53eca3eac0e2ffaea6a24a76835f86b6b6488a1c5b70e06ee4d8e4c",
    "cross_cats_sorted": [
      "econ.EM",
      "stat.ME",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-05-16T12:38:19Z",
    "title_canon_sha256": "19b4c5a5623ea9c8e4e0b8ed1c0d5531cd35544ed0d27cea610448df2cf0613b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2005.07972",
    "kind": "arxiv",
    "version": 2
  }
}