Pith Number

pith:CFG2IKXT

pith:2026:CFG2IKXTY6EKWAIHCFWDAR7GUB

not attested not anchored not stored refs pending

ML for the hKLM at the 2nd Detector

Anselm Vossen, Rowan Kelleher

Graph neural networks outperform classical methods for energy measurement and particle identification in a simulated iron-scintillator calorimeter for the Electron Ion Collider.

arxiv:2604.08447 v2 · 2026-04-09 · physics.ins-det · hep-ex

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\usepackage{pith}
\pithnumber{CFG2IKXTY6EKWAIHCFWDAR7GUB}

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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

We find that the GNN method outperforms classical methods at the same tasks, and we report projections for the energy and timing resolution, and identification accuracy of the calorimeter.

C2weakest assumption

That performance metrics measured on simulated events will translate to real data without large unmodeled systematics in the iron-scintillator response or in the GNN generalization.

C3one line summary

Graph neural networks trained on simulated hits outperform classical methods for energy resolution, timing, and particle identification in an iron-scintillator sampling calorimeter, with an integrated multi-objective optimization framework for design tradeoffs.

Receipt and verification

First computed	2026-06-09T02:08:41.932842Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

114da42af3c788ab0107116c3047e6a043a9efc1e5268dbcadf860ec4d06c6f1

Aliases

arxiv: 2604.08447 · arxiv_version: 2604.08447v2 · doi: 10.48550/arxiv.2604.08447 · pith_short_12: CFG2IKXTY6EK · pith_short_16: CFG2IKXTY6EKWAIH · pith_short_8: CFG2IKXT

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/CFG2IKXTY6EKWAIHCFWDAR7GUB \
  | 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: 114da42af3c788ab0107116c3047e6a043a9efc1e5268dbcadf860ec4d06c6f1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "63ac8fea457fe21d87f157376c672619bd4a57fc21aeeaa25acc4f9d8930b7f7",
    "cross_cats_sorted": [
      "hep-ex"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "physics.ins-det",
    "submitted_at": "2026-04-09T16:42:51Z",
    "title_canon_sha256": "3cfa09d5bcb132db5fe7f0f5511dc1854ec73ac9311b6772ea4add89bec6fc49"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.08447",
    "kind": "arxiv",
    "version": 2
  }
}