Pith Number

pith:IUBQOMLS

pith:2026:IUBQOMLSCECJM5OMKFQ7XAHG33

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MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution

Chunzheng Zhu, Jianxin Lin, Jiaqi Zeng, Junyu Jiang, Yijun Wang

Medical vision-language models internalize clinical intuition by evolving latent diagnostic memories in their hidden states.

arxiv:2604.26283 v2 · 2026-04-29 · cs.CV · cs.AI

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3 Author claim open · sign in to claim

4 Citations open

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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

ours, by transferring external expertise into endogenous parameters, significantly outperforms existing state-of-the-art methods, particularly chain-of-thought paradigms, in diagnostic accuracy.

C2weakest assumption

That reinforcement learning with region-level feature masking and full-vocabulary divergence alignment can accurately quantify causal contributions of memories and internalize clinical intuition without introducing artifacts or biases.

C3one line summary

MedSynapse-V evolves latent diagnostic memories via meta queries, causal counterfactual refinement with RL, and dual-branch memory transition to outperform prior medical VLM methods in diagnostic accuracy.

Cited by

1 paper in Pith

Deformba: Vision State Space Model with Adaptive State Fusion

Receipt and verification

First computed	2026-05-20T00:03:12.747641Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

450307317211049675cc5161fb80e6ded9e67f9211f1ba0319e21e26a4397edd

Aliases

arxiv: 2604.26283 · arxiv_version: 2604.26283v2 · doi: 10.48550/arxiv.2604.26283 · pith_short_12: IUBQOMLSCECJ · pith_short_16: IUBQOMLSCECJM5OM · pith_short_8: IUBQOMLS

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IUBQOMLSCECJM5OMKFQ7XAHG33 \
  | 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: 450307317211049675cc5161fb80e6ded9e67f9211f1ba0319e21e26a4397edd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "05489131487f61584c70edb3a5346392f4b7eca887fa3fb64391740bc639e8a4",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-29T04:23:35Z",
    "title_canon_sha256": "a7c7e745888dee1f6b543aff740ba8690ae1f7597f204fd7cf4a21afa4308006"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.26283",
    "kind": "arxiv",
    "version": 2
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}