Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 inbound Pith citation observations for arXiv:2311.16452.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:19:33.202015Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
169
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fd1fe60a-68e2-4196-a587-1c877d8a65b3 · inbound
Can an LLM Learn Preferences from Choice Data? cites this paper.
Can an LLM Learn Preferences from Choice Data? Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:56:01.019110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 40cf7b2b-c48c-4b16-bb3f-232de0c584ce · inbound
Capabilities of Gemini Models in Medicine cites this paper.
Capabilities of Gemini Models in Medicine Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 179
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T17:13:22.971803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a519c327-9818-40e0-b5f5-d09500c33bca · inbound
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments cites this paper.
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:53:19.586587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 009b931c-2c08-40bb-a714-12ac3ad3bc94 · inbound
TextGrad: Automatic "Differentiation" via Text cites this paper.
TextGrad: Automatic "Differentiation" via Text Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T11:27:58.162073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4b101104-0530-4786-99c8-f4f0c95200ff · inbound
GPT-4o System Card cites this paper.
GPT-4o System Card Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T18:43:19.077599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2c9d2596-c233-4a81-91f0-a9f73bb0d42f · inbound
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:36:50.275415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 590815fc-94c2-46c3-b16f-481ce68d607f · inbound
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning cites this paper.
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T03:37:27.794889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f8520b19-0c50-45f4-94db-ffbdc7d9dc38 · inbound
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 183
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:42:11.068056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3cd2eaad-b15f-42f2-bf48-c9c9468ef675 · inbound
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving cites this paper.
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:19:33.202015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6a7b146-9077-46f3-ac73-8b87b1a0b477 · inbound
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:15:46.275717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5bf19ba-eb2d-412d-a731-3b80054b4a6a · inbound
Towards Effective Complementary Security Analysis using Large Language Models cites this paper.
Towards Effective Complementary Security Analysis using Large Language Models Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:41:46.615026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6cd44f3-eb7c-4740-8564-9cdf7933fda2 · inbound
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems cites this paper.
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:59:59.632348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11300047-0100-41d6-8187-d94d83fae0bd · inbound
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies cites this paper.
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:36.328613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da4f5f8d-d53a-454c-811c-5521ea9f913b · inbound
ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making cites this paper.
ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:11:17.584586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9850c560-7d20-4d05-8d5e-bf9bf6e0f933 · inbound
HIVMedQA: Benchmarking large language models for HIV medical decision support cites this paper.
HIVMedQA: Benchmarking large language models for HIV medical decision support Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:42:18.370147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec171c18-daf7-4b0b-8ba4-81621992f1ce · inbound
Making Prompts First-Class Citizens for Adaptive LLM Pipelines cites this paper.
Making Prompts First-Class Citizens for Adaptive LLM Pipelines Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:01:56.445463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 32e84c90-d21c-415e-9b3a-d8d4390ea1a3 · inbound
The Non-Determinism of Small LLMs: Evidence of Low Answer Consistency in Repetition Trials of Standard Multiple-Choice Benchmarks cites this paper.
The Non-Determinism of Small LLMs: Evidence of Low Answer Consistency in Repetition Trials of Standard Multiple-Choice Benchmarks Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:30:11.982290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 797b5eb6-1460-48b0-b778-10461e3117c3 · inbound
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations cites this paper.
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:26:38.354877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59938cd2-eb3b-481c-9f91-ce3c1fd65b46 · inbound
Teaching large language models to reason like expert diagnosticians cites this paper.
Teaching large language models to reason like expert diagnosticians Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:43:19.371532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a36f5af5-f04a-407c-a62f-048d90e1344c · inbound
Measuring Competency, Not Performance: Item-Aware Evaluation Across Medical Benchmarks cites this paper.
Measuring Competency, Not Performance: Item-Aware Evaluation Across Medical Benchmarks Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:16:24.110939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation acac3c1a-a841-4656-8c0a-1cf74bfbb339 · inbound
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation cites this paper.
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:51:49.123850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca6da547-36a8-400f-8806-751ac54a6d42 · inbound
Cross-Platform Evaluation of Large Language Model Safety in Pediatric Consultations: Evolution of Adversarial Robustness and the Scale Paradox cites this paper.
Cross-Platform Evaluation of Large Language Model Safety in Pediatric Consultations: Evolution of Adversarial Robustness and the Scale Paradox Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:01:05.823992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29678fc4-f2d5-4061-beee-70719ec01730 · inbound
Group Selection as a Safeguard Against AI Substitution cites this paper.
Group Selection as a Safeguard Against AI Substitution Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 3440
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:15:35.881009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dd5afd2-3ac7-426d-96df-443e2c8b4ed8 · inbound
Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution cites this paper.
Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:44:09.290435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cee22403-0557-4751-bce5-60d25e451921 · inbound
Medical Reasoning with Large Language Models: A Survey and MR-Bench cites this paper.
Medical Reasoning with Large Language Models: A Survey and MR-Bench Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:25:26.711903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cf618542-ba1f-4615-af0c-2cef29eebcfd · inbound
Evaluating Small Open LLMs for Medical Question Answering: A Practical Framework cites this paper.
Evaluating Small Open LLMs for Medical Question Answering: A Practical Framework Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:00.355002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 170f340b-0b20-49c0-867d-b02514f1934b · inbound
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events cites this paper.
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T11:20:10.025162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3dfccda0-0ba3-4105-aaee-76073463d261 · inbound
SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment cites this paper.
SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:46:53.492347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c4e771f2-2391-4501-9761-faeee07a3991 · inbound
SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment cites this paper.
SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:41:42.849502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 956e374c-8716-464b-93d1-484ce7d98ddd · inbound
Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes cites this paper.
Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:10.702844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b770c0a4-751a-40e3-ad07-ae5342690514 · inbound
AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems cites this paper.
AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:46:26.957906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ec767918-802c-497d-a451-f65b1ab606e5 · inbound
AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks cites this paper.
AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:11:21.948174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ed19ff2b-9d15-4ee3-8e36-240d3f797754 · inbound
AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks cites this paper.
AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 117
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:31:25.879478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d9ca0eea-1b14-4e43-95a8-113184e51f75 · inbound
PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems cites this paper.
PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T16:18:37.473848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7d11e7c-7a1a-4370-b91e-59d5084f1092 · inbound
AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows cites this paper.
AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:09:46.418476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3677f857-2551-467d-8867-a9b0271e0562 · inbound
NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding cites this paper.
NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:59:45.811730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d8b688e7-c21b-4f51-bcb4-ea292fe8dc8f · inbound
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation cites this paper.
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T19:33:54.378091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2ade2156-6d2f-4fea-89c3-df43243b4886 · inbound
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation cites this paper.
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:12:52.371448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7045d5b-d427-4604-8f75-4b2dd5c3f277 · inbound
SURGENT: A Surgical Multi-Agent Assistance System Across the Perioperative Workflow cites this paper.
SURGENT: A Surgical Multi-Agent Assistance System Across the Perioperative Workflow Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:23:15.680465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 29bac44a-75a6-472b-b992-b5726d270afa · inbound
FAM-Bench: A Multimodal Benchmark for Condition-Aware Food-as-Medicine Reasoning cites this paper.
FAM-Bench: A Multimodal Benchmark for Condition-Aware Food-as-Medicine Reasoning Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T19:36:09.250257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 81fec4d2-6705-4bd2-8830-503868681192 · inbound
Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation cites this paper.
Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T08:16:47.679305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 98cd100f-046e-4cab-8e8d-401729f7e5c9 · inbound
Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models cites this paper.
Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:46:46.098161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6fcbd93a-2fe8-4267-a2a0-dd2e2d0d2d03 · inbound
Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization cites this paper.
Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:38:29.085245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cc07f78c-1766-4260-ba4f-012bf3996a37 · inbound
When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries cites this paper.
When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T11:04:37.476215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 76eaf936-269e-4997-9b52-d97e308b3a72 · inbound
MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes cites this paper.
MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:34:34.377344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e23af757-cfea-49b7-a47a-ff1b4e5124e0 · inbound
FaithMed: Training LLMs For Faithful Evidence-Based Medical Reasoning cites this paper.
FaithMed: Training LLMs For Faithful Evidence-Based Medical Reasoning Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:08:57.478910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 292b8c9a-bbfd-4729-81a0-eeeca18aea4f · inbound
Toward Trustworthy Large Language Model Agents in Healthcare cites this paper.
Toward Trustworthy Large Language Model Agents in Healthcare Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T09:29:31.521623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66436146-ad99-4c73-8af2-4dc13a4f617a · inbound
LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability cites this paper.
LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T15:05:03.512017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aab801bd-2527-413d-9b33-3157153fa581 · inbound
In-Context Learning for Wound Classification with Small Multimodal Language Models cites this paper.
In-Context Learning for Wound Classification with Small Multimodal Language Models Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:16:01.779880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea9593bb-f474-4e0e-9d9d-568a23ab9391 · inbound
DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs cites this paper.
DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMs Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:38:11.801917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39c08e43-e7f2-4c98-bf2b-6245d031a19a · inbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents cites this paper.
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:21:20.359573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.