Pith Number

pith:7MNWNK6K

pith:2025:7MNWNK6KXN5IENJDMJ7EXAPNSJ

not attested not anchored not stored refs pending

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence

Benji Peng, Caitlyn Heqi Yin, Charles Zhang, Cheng Fei, Junyu Liu, Jun Zhou, Keyu Chen, Lawrence KQ Yan, Ming Li, Ming Liu, Pohsun Feng, Qian Niu, Silin Chen, Tianyang Wang, Xintian Sun, Xinyuan Song, Yichao Zhang, Yunze Wang, Ziqian Bi

arxiv:2501.03282 v1 · 2025-01-05 · cs.AI · 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{7MNWNK6KXN5IENJDMJ7EXAPNSJ}

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

4 papers in Pith

Methods for Uncertainty Representation in Risk Management: A Comparative Review and Decision-Oriented Framework

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification

Localising Dropout Variance in Twin Networks

Physics-Informed Neural Networks for Methane Sorption: Cross-Gas Transfer Learning, Ensemble Collapse Under Physics Constraints, and Monte Carlo Dropout Uncertainty Quantification

Receipt and verification

First computed	2026-07-05T09:57:51.866021Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fb1b66abcabb7a823523627e4b81ed9257cfdf48974c91fd870c010cc13857ab

Aliases

arxiv: 2501.03282 · arxiv_version: 2501.03282v1 · doi: 10.48550/arxiv.2501.03282 · pith_short_12: 7MNWNK6KXN5I · pith_short_16: 7MNWNK6KXN5IENJD · pith_short_8: 7MNWNK6K

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/7MNWNK6KXN5IENJDMJ7EXAPNSJ \
  | 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: fb1b66abcabb7a823523627e4b81ed9257cfdf48974c91fd870c010cc13857ab

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6ffdb9b667868e09e7aa5e64928af5be90113cccbc5de320c979b9b3835e3e33",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-01-05T23:14:47Z",
    "title_canon_sha256": "c44f9970185948ab6ca0bcccf088e776a384e96630ec1f78c092a8c929f7e694"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.03282",
    "kind": "arxiv",
    "version": 1
  }
}