pith. sign in
Pith Number

pith:7MYBZAZX

pith:2026:7MYBZAZXZDXOB2QPAED22IYOTG
not attested not anchored not stored refs pending

Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?

Danielle S. Bitterman, Daphna Spiegel, Natalie Seah, Thomas Hartvigsen

Grounding large language models in clinician-curated lists improves reliability when listing side effects of breast cancer radiation treatments.

arxiv:2605.08439 v2 · 2026-05-08 · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7MYBZAZXZDXOB2QPAED22IYOTG}

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

Grounding outputs in clinician-curated side effect lists substantially improves reliability and robustness while constraints on the number of side effects generated reduce precision.

C2weakest assumption

The clinician-curated reference derived from informed consent documents at two academic centers accurately and comprehensively captures all relevant toxicities broken down by frequency and temporal onset.

C3one line summary

LLMs under-recall rare and long-term radiation side effects in breast cancer, show prompt sensitivity, and improve when outputs are grounded in clinician-curated references.

Receipt and verification
First computed 2026-05-20T00:04:34.834480Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fb301c8337c8eee0ea0f0107ad230e9983a1d51c87d8e9b61390f02550bb2d90

Aliases

arxiv: 2605.08439 · arxiv_version: 2605.08439v2 · doi: 10.48550/arxiv.2605.08439 · pith_short_12: 7MYBZAZXZDXO · pith_short_16: 7MYBZAZXZDXOB2QP · pith_short_8: 7MYBZAZX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7MYBZAZXZDXOB2QPAED22IYOTG \
  | 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: fb301c8337c8eee0ea0f0107ad230e9983a1d51c87d8e9b61390f02550bb2d90
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "19034a3dcb0834a7c1c81e0dfc9154b85aee0b6fcb07286b397166d55d6e1a90",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-08T20:02:49Z",
    "title_canon_sha256": "53bb3ace4265575c53544c1880676395f1551f97640fada867a322eb328bc25f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.08439",
    "kind": "arxiv",
    "version": 2
  }
}