Pith Number

pith:WOMO6KIU

pith:2026:WOMO6KIUD7VOIWDPEYMLDF5VU7

not attested not anchored not stored refs resolved

EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild

Jathurshan Pradeepkumar, Jimeng Sun, Yasuko Matsubara, Yasushi Sakurai, Yushun Dong, Yuyang Dai, Zheng Chen

A new epilepsy knowledge graph boosts LLM performance on clinical reasoning tasks by up to 41 percent.

arxiv:2605.09505 v2 · 2026-05-10 · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{WOMO6KIUD7VOIWDPEYMLDF5VU7}

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.

Claims

C1strongest claim

integrating EpiGraph consistently improves performance across all tasks, with the largest gains observed in pharmacogenomic reasoning (+30--41%).

C2weakest assumption

That the automatically extracted triplets and five-layer structure accurately capture clinically reliable knowledge without introducing systematic errors or omissions from the source papers.

C3one line summary

EpiGraph creates a heterogeneous epilepsy knowledge graph that boosts LLM performance on clinical reasoning tasks by 30-41% in pharmacogenomics when used with Graph-RAG.

References

66 extracted · 66 resolved · 12 Pith anchors

[1] Evobrain: Dynamic multi-channel EEG graph modeling for time-evolving brain networks 2025

[2] Drug-resistant epilepsy 2011

[3] Long-term eeg partitioning for seizure onset detection 2025

[4] Review of pharmacogenetics of antiseizure medications: focusing on genetic variants of mecha- nistic targets 2024

[5] A review on knowledge graphs for healthcare: Resources, applications, and promises 2025

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T15:04:06.678133Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b398ef29141feae4586f2618b197b5a7c09832eabceae13db8cc8779e72f5718

Aliases

arxiv: 2605.09505 · arxiv_version: 2605.09505v2 · doi: 10.48550/arxiv.2605.09505 · pith_short_12: WOMO6KIUD7VO · pith_short_16: WOMO6KIUD7VOIWDP · pith_short_8: WOMO6KIU

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/WOMO6KIUD7VOIWDPEYMLDF5VU7 \
  | 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: b398ef29141feae4586f2618b197b5a7c09832eabceae13db8cc8779e72f5718

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e861df0feb384199b01d1eb821cbea234da36d18e91b7a6d650e58a6bf6b1fa8",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-10T12:27:32Z",
    "title_canon_sha256": "40cc4f0d515f2499fd64cd9e6002303e52a5717c016898cd75dce709756f7b64"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.09505",
    "kind": "arxiv",
    "version": 2
  }
}