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Pith Number

pith:FD73LKSW

pith:2026:FD73LKSWEKCAGGRDHGO27YLAQU
not attested not anchored not stored refs pending

Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability

Dhruv Agarwal, Riya Bisht

arxiv:2606.12658 v1 · 2026-06-10 · cs.LG · q-bio.QM · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FD73LKSWEKCAGGRDHGO27YLAQU}

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.
Receipt and verification
First computed 2026-06-12T01:08:43.086934Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

28ffb5aa562284031a23399dafe16085256a8944f62662cd4f6c55d2ddee31a0

Aliases

arxiv: 2606.12658 · arxiv_version: 2606.12658v1 · doi: 10.48550/arxiv.2606.12658 · pith_short_12: FD73LKSWEKCA · pith_short_16: FD73LKSWEKCAGGRD · pith_short_8: FD73LKSW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FD73LKSWEKCAGGRDHGO27YLAQU \
  | 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: 28ffb5aa562284031a23399dafe16085256a8944f62662cd4f6c55d2ddee31a0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0c947ed78479d494b1bcffa6171f7a9ecd4d94cf896d2b73603df2eed0996968",
    "cross_cats_sorted": [
      "q-bio.QM",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-06-10T20:33:00Z",
    "title_canon_sha256": "621bcea3c30000483c0446184ff09a272ce82e8867cfe89474543496f47c410a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2606.12658",
    "kind": "arxiv",
    "version": 1
  }
}