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Pith Number

pith:DKZ2IKYY

pith:2025:DKZ2IKYYUYPCH2V2NRJ3WFV3G4
not attested not anchored not stored refs pending

Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth

Andreas Rauschecker, Catherine R. Jutzeler, Daria Laslo, Efthymios Georgiou, Marius George Linguraru, Sabine Muller, Sarah Bruningk

arxiv:2509.09610 v1 · 2025-09-11 · cs.CV · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DKZ2IKYYUYPCH2V2NRJ3WFV3G4}

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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T12:09:39.316758Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1ab3a42b18a61e23eaba6c53bb16bb370fafa027d33892abf8e8b499ac0540e1

Aliases

arxiv: 2509.09610 · arxiv_version: 2509.09610v1 · doi: 10.48550/arxiv.2509.09610 · pith_short_12: DKZ2IKYYUYPC · pith_short_16: DKZ2IKYYUYPCH2V2 · pith_short_8: DKZ2IKYY
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DKZ2IKYYUYPCH2V2NRJ3WFV3G4 \
  | 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: 1ab3a42b18a61e23eaba6c53bb16bb370fafa027d33892abf8e8b499ac0540e1
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2437fb73130787d177d50a9f56347aa1f06fef07dbeb565a60a69e31d7dffe1f",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-09-11T16:52:09Z",
    "title_canon_sha256": "d3080dcf69c4ab32652bac5964ec628a032cb1bea35e7d32159206b67fab80d6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.09610",
    "kind": "arxiv",
    "version": 1
  }
}