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Paper Citation Record · LEDGER

SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2102.09542.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2102.09542 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:22.724573Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff236a51-f776-4332-9aed-aa97066a4a28 · inbound

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation cites this paper.

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:50.411712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T22:03:33.418989Z digest=sha256:9f5a8882837afadb59b07c09e8df05b90c042ada9b1527698f1551064451e9f8

Observation 0758ad61-c5fa-4d6f-b6c8-001ca2c3f319 · inbound

RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints cites this paper.

RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:22.724573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:22.724573Z digest=sha256:ad4043e20e4964e24cc80ff0239200558f3679bd7ab976083cc208a2aca19561

Observation 241556af-9e91-45bc-b9e4-46a607fba19f · inbound

Ming-Omni: A Unified Multimodal Model for Perception and Generation cites this paper.

Ming-Omni: A Unified Multimodal Model for Perception and Generation SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:08.699216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:08.699216Z digest=sha256:4154f0c84a4ab8776b670c78c5546af6997433e97a32648c596106ac6094125b

Observation 30253ec1-9cae-49de-a3d9-70dd616e2b02 · inbound

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering cites this paper.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:28.726343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:28.726343Z digest=sha256:2784fcf751195456dc0616b8dede2110cb4a223f2ba0399359ff974f4292048b

Observation b3a5dcbc-b58a-4320-95ac-d0a41788426d · inbound

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs cites this paper.

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:41:09.615748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T14:49:53.357083Z digest=sha256:3e4724643b230a2736dff3be55d7ab91ba5c2c286912e8f18de8ae6adeb013f7

Observation d2f8c311-7029-4d75-b37e-a5f6d95c7314 · inbound

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery cites this paper.

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T09:13:15.611270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T09:11:09.171906Z digest=sha256:2d15f062d217aeeb3b8cc091ca65729eb83765cf02bc2fe7ed7bf2c1afb90d11

Observation 991549d6-23bb-4f31-b989-66593769ecd4 · inbound

Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA cites this paper.

Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:22:24.354346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:21:52.460576Z digest=sha256:cde2fe6bfd305ad649f90ed000a7583dd02ee4cafdf6b5ec00d74d6981746b9b

Observation 4f6aa956-24dd-47c5-8fcd-39bd044ae3cc · inbound

Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study cites this paper.

Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:46:28.061248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:42:50.961855Z digest=sha256:80194e2e99c5bfdce7d9ff967c35fa5e4edb71644d2181d2c2d30d6416264004

Observation 16d241b0-53e1-44ad-bc4a-98a6a180e287 · inbound

MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models cites this paper.

MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:56:57.624573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T01:39:30.851276Z digest=sha256:4f2d1e1fafb2dccf4750be4651ca00875459c39544e41d7e5cbd215cffb4bcba

Observation 760d9c10-f816-4794-b725-c81b0e556114 · inbound

MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation cites this paper.

MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:59:56.611990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T01:11:45.657964Z digest=sha256:090664bef62f95320405b48c4181cc9367e69128b4a70b9e6f31b2327d4b7415

Observation c95c484d-6bb0-47e2-9dd0-1dea876d7f4e · inbound

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering cites this paper.

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:15:00.030039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T18:09:46.506953Z digest=sha256:28994f91972ed5e2f320e48431aee3b1774a9c4c6d3a43ef95689cf494d437fd

Observation 5b899031-a318-42a9-9705-3bd2dca30042 · inbound

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-13T05:07:42.040673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:07:42.040673Z digest=sha256:6c2daed5d2a3521cae53b0e0761c89bb8945e3c4d54371654f404e965da7d220

Observation 369af46b-79f9-4318-a36d-a07bcb501226 · inbound

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T07:43:30.225146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:43:30.225146Z digest=sha256:b1c7706e871b80249642d702bf8dbd25697213d7ba51d093397fb5fbd520597c

Observation e9d49227-2a8e-4a9e-a4cb-11ec7d912123 · inbound

Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical Reasoning cites this paper.

Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical Reasoning SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T05:38:57.686309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:38:57.686309Z digest=sha256:f1ac6d02fd66a0cb5ad406cc2b1011f2cd02790f593f14173cfa3f0f1ac667d8