Paper Citation Record · LEDGER

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2506.13102.

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

pith.paper-citation-record.v1
2506.13102 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:56.179861Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T20:21:40.867354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:23:23.797407Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy15
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b0a2c50-eedf-411b-8430-ed1bac389c9e · outbound

This paper cites Language mod- els are few-shot learners,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Language mod- els are few-shot learners,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.124456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4753e2e6-d135-4a78-b5b1-c63cd0609a0a · outbound

This paper cites GPT-4 Technical Report.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.141698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c616e0e-d59c-4497-9610-82db37a225d7 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.147428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4b2c4d-7cf0-4a35-9bb2-7a1761e7923a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.151764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06756117-ce0f-416b-9dfd-21e71c5bbe85 · outbound

This paper cites GPT-4o System Card.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs GPT-4o System Card

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.223274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a593b253-553e-4392-b8e4-642814dda7ea · outbound

This paper cites OpenAI o1 System Card.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs OpenAI o1 System Card

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.227739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe4fede-64ea-4740-88f7-a8cf9a20e6e5 · outbound

This paper cites The Llama 3 herd of models,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs The Llama 3 herd of models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.800688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c61b68e7-ddc5-4bdb-aaaf-13692b1cc8cc · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.238359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 064a8092-116e-445a-bfdf-6a7965ba7994 · outbound

This paper cites Qwen2.5 Technical Report.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Qwen2.5 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.242792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e259a8-4b9a-4b80-b93a-ca1e3fc33bf6 · outbound

This paper cites Flamingo: A visual language model for few-shot learning,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Flamingo: A visual language model for few-shot learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.789598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05a1f538-d81f-474c-b8a2-56c9f50484e9 · outbound

This paper cites BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.710527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 530c4658-ba4c-41af-bc8e-fce5cd327e10 · outbound

This paper cites BLIP-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs BLIP-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.410289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b95d9010-9af5-43c6-b9e6-b1faae1f807c · outbound

This paper cites Visual instruction tuning,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Visual instruction tuning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.562887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e385f19d-5186-4fbc-9e23-8ac8856a921b · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.418177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22826580-31b0-4246-a375-d883e59e8234 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.462198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff8de91-a652-4f31-ac7c-905595c66010 · outbound

This paper cites xGen-MM (BLIP- 3): A family of open large multimodal models,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs xGen-MM (BLIP- 3): A family of open large multimodal models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.535151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da645a20-c07b-4bfc-8d86-5117e16b7cd0 · outbound

This paper cites s1: Simple test-time scaling.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs s1: Simple test-time scaling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.538463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0a4d29-8a6e-4bb1-9bea-0771b8316d95 · outbound

This paper cites Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.550107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e9df956-644d-4631-9f00-cffa58cbc8c8 · outbound

This paper cites Towards thinking-optimal scaling of test-time compute for LLM reasoning,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Towards thinking-optimal scaling of test-time compute for LLM reasoning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.546352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bab2202-125b-4014-97e0-44bc5e33e238 · outbound

This paper cites Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.549727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e44cf1a0-81c2-4168-aefa-483f175b4bb3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Proximal Policy Optimization Algorithms

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.562878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da8faa2-e808-44a4-beda-1698e698f800 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Direct preference optimization: Your language model is secretly a reward model,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.635279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76204dec-a21e-4f2b-b428-85aa95f56659 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.690086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b1ecc4-a5eb-474e-a1a8-c6eae3be5a34 · outbound

This paper cites Multi- modal understanding and generation for medical images and text via vision-language pre-training,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Multi- modal understanding and generation for medical images and text via vision-language pre-training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.461742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28243b47-b668-4044-bca5-9156feb687cb · outbound

This paper cites an unresolved cited work.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:08:57.448793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf6b27bb-818f-48c2-8440-a268e68fd01a · outbound

This paper cites Self- supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Self- supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.394904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 738fdb9f-5c11-4efc-add8-aa5359ecb97a · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.704689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84343929-6fe0-4463-9fd7-3f7453690286 · outbound

This paper cites A generalist vision–language foundation model for diverse biomedical tasks,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs A generalist vision–language foundation model for diverse biomedical tasks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.381097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f78290e5-db76-4106-868b-4ddcc2383e62 · outbound

This paper cites UltraMedical: Building specialized generalists in biomedicine,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs UltraMedical: Building specialized generalists in biomedicine,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.370481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b0666fb-8b0f-4968-b582-caaafe41df4c · outbound

This paper cites Meds3: Towards medical small language models with self-evolved slow think- ing,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Meds3: Towards medical small language models with self-evolved slow think- ing,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.808418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e4be9b-e182-44f4-ae70-0f754d3eb3d5 · outbound

This paper cites QoQ-Med: Building mul- timodal clinical foundation models with domain-aware GRPO training,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs QoQ-Med: Building mul- timodal clinical foundation models with domain-aware GRPO training,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.811651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f69da79-126c-4cd3-8f98-1e119ee4a05e · outbound

This paper cites Med-R1: Reinforcement learning for generalizable medical reasoning in vision-language models,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Med-R1: Reinforcement learning for generalizable medical reasoning in vision-language models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.815623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77892960-1b0e-4769-822a-20f873b956b8 · outbound

This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.819290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b60ebc-cb9b-46ca-ad37-6b703ba5b9ba · outbound

This paper cites m1: Unleash the potential of test-time scaling for medical reasoning with large language models,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs m1: Unleash the potential of test-time scaling for medical reasoning with large language models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.822853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bd650c-b874-468a-ad66-edb98301abcd · outbound

This paper cites O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.826144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efa8456-6b54-4f43-a834-6df34c35e6b3 · outbound

This paper cites Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.845303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592a6bd3-963f-47f0-a361-7739fe31f85f · outbound

This paper cites HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.923492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0eec9f-606e-4fd9-b6f3-66c7b76437cb · outbound

This paper cites MedGemma: Advanced AI models for medical text and image analysis,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs MedGemma: Advanced AI models for medical text and image analysis,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.331628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e59b2a0-97c4-4c50-970e-b14c02ad2226 · outbound

This paper cites Qwen2.5-VL Technical Report.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Qwen2.5-VL Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.954295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a23158-576a-44c3-a1d5-294050a1fbef · outbound

This paper cites Gemma 3 Technical Report.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Gemma 3 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.958124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a7385db-4402-4c20-bf65-267dc2d697df · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:55.962530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754dd459-be40-47fe-961d-457c58b60ac2 · outbound

This paper cites QVQ: To see the world with wisdom,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs QVQ: To see the world with wisdom,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.260355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f5cf823-c308-44ef-a620-093d8701be0c · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Yi: Open Foundation Models by 01.AI

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.037648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bccdcd1-5787-45f5-802f-6df2a64f15f2 · outbound

This paper cites CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.042381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d02aa01-2c35-4776-abf1-9888f4d5e465 · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.046556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7075c5e6-5d92-4af9-8c3a-c80fbf4839fd · outbound

This paper cites What disease does this patient have? A large-scale open domain question answering dataset from medical exams,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs What disease does this patient have? A large-scale open domain question answering dataset from medical exams,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.247426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a6c7447-317c-477e-a5ff-253fc2ffa83c · outbound

This paper cites Benchmarking large language models on answering and explaining challenging medical questions,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Benchmarking large language models on answering and explaining challenging medical questions,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.167902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79acf541-ad73-46d9-9e9d-714dce4bdc6e · outbound

This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.122012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3080d3ec-677f-48eb-839e-1768a50be057 · outbound

This paper cites MedCalc- Bench: Evaluating large language models for medical calculations,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs MedCalc- Bench: Evaluating large language models for medical calculations,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.157554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d43c90ba-8170-4cd3-917a-5021630d60b7 · outbound

This paper cites Susceptibility of Large Language Models to User-Driven Factors in Medical Queries.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Susceptibility of Large Language Models to User-Driven Factors in Medical Queries

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.158706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b38278-e171-4a35-a6a1-0a04189889f8 · outbound

This paper cites Om- niMedVQA: A new large-scale comprehensive evaluation benchmark for medical LVLM,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Om- niMedVQA: A new large-scale comprehensive evaluation benchmark for medical LVLM,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:57.114343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e44fe3ff-952c-4e40-b0af-a8b0bbf8a533 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Training language models to follow instructions with human feedback,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.168439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb26c6c-8d62-420a-8b19-f03bc8da0079 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs KTO: Model Alignment as Prospect Theoretic Optimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.172268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1de9616-1e19-45c5-b74f-7bf75913fd1f · outbound

This paper cites Reasoning Models Don't Always Say What They Think.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Reasoning Models Don't Always Say What They Think

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.176954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa72c826-4858-41b7-8118-e88fec1060cb · outbound

This paper cites Disentangling Reasoning and Knowledge in Medical Large Language Models.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Disentangling Reasoning and Knowledge in Medical Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.179861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 680b9b8d-f675-48e3-b296-a157c95fb431 · inbound

Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight cites this paper.

Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:23:23.799795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.