Pith. sign in
Pith Number

pith:PX7XBWBW

pith:2024:PX7XBWBW4VSUIWKRFFFYQ5T47G
not attested not anchored not stored refs pending

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks

Danai Koutra, Jayaraman J. Thiagarajan, Mark Heimann, Puja Trivedi, Rushil Anirudh

arxiv:2401.03350 v2 · 2024-01-07 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PX7XBWBW4VSUIWKRFFFYQ5T47G}

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

Receipt and verification
First computed 2026-07-05T09:48:30.431647Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7dff70d836e565445951294b88767cf9ad569c8a690d90514643243fb9828278

Aliases

arxiv: 2401.03350 · arxiv_version: 2401.03350v2 · doi: 10.48550/arxiv.2401.03350 · pith_short_12: PX7XBWBW4VSU · pith_short_16: PX7XBWBW4VSUIWKR · pith_short_8: PX7XBWBW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PX7XBWBW4VSUIWKRFFFYQ5T47G \
  | 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: 7dff70d836e565445951294b88767cf9ad569c8a690d90514643243fb9828278
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b61cea830240f6a1300fc72225082983c6b4fe73ae84428c032422f0a1f883af",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-01-07T00:58:33Z",
    "title_canon_sha256": "0806626e423d93c60c044af1d539391fd9e6c342f0b70120a21931f56b081c2b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2401.03350",
    "kind": "arxiv",
    "version": 2
  }
}