Paper Citation Record · LEDGER

Agentic AI framework for End-to-End Medical Data Inference

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2507.18115.

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

pith.paper-citation-record.v1
2507.18115 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:42:16.058598Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:03:15.965456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:53:14.137616Z

Reference resolution

55 of 55 outbound references displayed

verified exact4
verified fuzzy35
unresolved14
parse uncertain1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ceb014a-acee-44f7-a37c-34d5a400f833 · outbound

This paper cites Topol, Deep medicine: how artificial intelligence can make healthcare human again.

Agentic AI framework for End-to-End Medical Data Inference Topol, Deep medicine: how artificial intelligence can make healthcare human again

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.654378Z

Source-reported events for the cited work

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Observation 36024ef3-97dc-44bb-8cbd-d24e59edfae0 · outbound

This paper cites Inside production data science: Exploring the main tasks of data scientists in production environments,.

Agentic AI framework for End-to-End Medical Data Inference Inside production data science: Exploring the main tasks of data scientists in production environments,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.645265Z

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Observation 77034118-be51-4a06-b097-cd3c67d5b645 · outbound

This paper cites A comprehensive overview of barriers and strategies for ai implementation in healthcare: Mixed-method design,.

Agentic AI framework for End-to-End Medical Data Inference A comprehensive overview of barriers and strategies for ai implementation in healthcare: Mixed-method design,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.635827Z

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Observation 35c5142d-58db-4fc2-8460-6898dd6ff77c · outbound

This paper cites an unresolved cited work.

Agentic AI framework for End-to-End Medical Data Inference Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:42:16.625798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ed21c2d-d62b-4621-a157-70bf7d5f0d50 · outbound

This paper cites an unresolved cited work.

Agentic AI framework for End-to-End Medical Data Inference Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:42:16.616060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09c47df3-fe32-45fd-b9b2-bde665315bc7 · outbound

This paper cites Tahir, AI was meant to cut health care costs.

Agentic AI framework for End-to-End Medical Data Inference Tahir, AI was meant to cut health care costs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.606081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dcb0fc23-6aa6-4b4b-a386-e53a45ecf275 · outbound

This paper cites Barriers to and facilitators of artificial intelligence adoption in health care: scoping review,.

Agentic AI framework for End-to-End Medical Data Inference Barriers to and facilitators of artificial intelligence adoption in health care: scoping review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.594281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c0d10f2-6e1d-4a11-af76-d7d9a659fdf4 · outbound

This paper cites The future of digital health with federated learning,.

Agentic AI framework for End-to-End Medical Data Inference The future of digital health with federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.583295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d050f98-2b02-4400-ad49-c69e5bdfabb1 · outbound

This paper cites Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection.

Agentic AI framework for End-to-End Medical Data Inference Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d40ffce3-f1b6-4b87-bf4b-775039605df2 · outbound

This paper cites Big data and machine learning in health care,.

Agentic AI framework for End-to-End Medical Data Inference Big data and machine learning in health care,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.571750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9ff3a0a-3185-4d82-b73e-cafd519a48c4 · outbound

This paper cites Deep learning for healthcare: review, opportunities and challenges,.

Agentic AI framework for End-to-End Medical Data Inference Deep learning for healthcare: review, opportunities and challenges,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.561426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e665795-b3f3-4543-a570-8c2c4d125377 · outbound

This paper cites Health insurance portability and accountability act of 1996 (hipaa).

Agentic AI framework for End-to-End Medical Data Inference Health insurance portability and accountability act of 1996 (hipaa)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.551888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d565629c-7de2-451c-97d5-98a2d3683feb · outbound

This paper cites General data protection regulation (gdpr).

Agentic AI framework for End-to-End Medical Data Inference General data protection regulation (gdpr)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.541861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4570b71c-e1b6-48f2-a0fb-276d830bbfdd · outbound

This paper cites Ai chatbots, health privacy, and challenges to hipaa compliance,.

Agentic AI framework for End-to-End Medical Data Inference Ai chatbots, health privacy, and challenges to hipaa compliance,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.531648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e1409b3-5d9e-47df-b518-dc9b45b5bb01 · outbound

This paper cites Automl: A survey of the state-of-the-art,.

Agentic AI framework for End-to-End Medical Data Inference Automl: A survey of the state-of-the-art,

Reference 15

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Source-reported events for the cited work

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Observation c0318baf-bc48-4d3c-a9be-45cff09b40b2 · outbound

This paper cites Agents applied in health care: A review,.

Agentic AI framework for End-to-End Medical Data Inference Agents applied in health care: A review,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.515856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf801abf-cde4-44a1-8f7e-7b0c821b6d71 · outbound

This paper cites Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,.

Agentic AI framework for End-to-End Medical Data Inference Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.507337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1a40c3e3-747c-4d01-8cc3-b954a403debf · outbound

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

Agentic AI framework for End-to-End Medical Data Inference The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Reference 18

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Source-reported events for the cited work

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Observation fcd0c946-c061-4281-8f7a-9beff82042cc · outbound

This paper cites Can large language models reason about medical questions?,.

Agentic AI framework for End-to-End Medical Data Inference Can large language models reason about medical questions?,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.498707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0fba190-e18c-400e-bb8f-d7c8509cc764 · outbound

This paper cites Large language models encode clinical knowledge,.

Agentic AI framework for End-to-End Medical Data Inference Large language models encode clinical knowledge,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.489692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f873b20-adf8-4346-8449-94b47689a765 · outbound

This paper cites An individualized preprocessing for medical data classification,.

Agentic AI framework for End-to-End Medical Data Inference An individualized preprocessing for medical data classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.480863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03a968f1-4e41-4d42-8645-e3c76a1ae761 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Agentic AI framework for End-to-End Medical Data Inference AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 22

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Source-reported events for the cited work

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Observation b0d753c2-a711-4c60-afa1-f97a5b4a0977 · outbound

This paper cites Auto-keras: An efficient neural architecture search system,.

Agentic AI framework for End-to-End Medical Data Inference Auto-keras: An efficient neural architecture search system,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.471219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f7df208-a677-4ca0-bbe0-a708a94b2c55 · outbound

This paper cites ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.

Agentic AI framework for End-to-End Medical Data Inference ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef1a86a-c37e-4f95-9859-ea02cef82d93 · outbound

This paper cites Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines.

Agentic AI framework for End-to-End Medical Data Inference Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:42:16.202746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 264e953b-91cb-42e8-a15d-1501eb7308bf · outbound

This paper cites Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows.

Agentic AI framework for End-to-End Medical Data Inference Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:42:16.188367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83b74ebe-1de0-4a64-9602-896945a43144 · outbound

This paper cites Goldminer: Elastic scaling of training data pre-processing pipelines for deep learning,.

Agentic AI framework for End-to-End Medical Data Inference Goldminer: Elastic scaling of training data pre-processing pipelines for deep learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.461423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf35a93e-5b88-4916-98a0-3310794b475d · outbound

This paper cites Towards a HIPAA Compliant Agentic AI System in Healthcare.

Agentic AI framework for End-to-End Medical Data Inference Towards a HIPAA Compliant Agentic AI System in Healthcare

Reference 28

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Source-reported events for the cited work

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Observation 5eb8e0db-9b97-4723-9ed3-c0cca524104e · outbound

This paper cites Anonymizing medical documents with local, privacy preserving large language models: The llm-anonymizer,.

Agentic AI framework for End-to-End Medical Data Inference Anonymizing medical documents with local, privacy preserving large language models: The llm-anonymizer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.452211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb6e64ac-7a59-47f3-acac-eb6ba491dfcd · outbound

This paper cites Differential Privacy-enabled Federated Learning for Sensitive Health Data.

Agentic AI framework for End-to-End Medical Data Inference Differential Privacy-enabled Federated Learning for Sensitive Health Data

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:42:16.163129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97536b46-7d0d-44a3-9645-95b285cfb106 · outbound

This paper cites Nuextract-1.5.

Agentic AI framework for End-to-End Medical Data Inference Nuextract-1.5

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.442701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1748d7a7-54cf-445b-9fc0-4235218c05da · outbound

This paper cites LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation.

Agentic AI framework for End-to-End Medical Data Inference LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:15.989739Z

Source-reported events for the cited work

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Observation 19c81de0-15f9-4b00-b534-cbaafa5c8d08 · outbound

This paper cites Oboe: Collaborative filtering for automl model selection,.

Agentic AI framework for End-to-End Medical Data Inference Oboe: Collaborative filtering for automl model selection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.423779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a72b9b9-a27a-4bd1-a480-7bbe525c5b70 · outbound

This paper cites Autoencoder- knn meta-model based data characterization approach for an automated selection of ai algorithms,.

Agentic AI framework for End-to-End Medical Data Inference Autoencoder- knn meta-model based data characterization approach for an automated selection of ai algorithms,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.407369Z

Source-reported events for the cited work

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Observation b3bb2fcd-3ccc-46bf-ba0d-b28cce3c512d · outbound

This paper cites Moment matching for multi-source domain adaptation,.

Agentic AI framework for End-to-End Medical Data Inference Moment matching for multi-source domain adaptation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.388857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 742de95c-07a4-404c-b93c-e149f3e5e28e · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Agentic AI framework for End-to-End Medical Data Inference AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 36

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Source-reported events for the cited work

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Observation 7b43fe35-ff37-46fb-8500-ed2d2611e9f2 · outbound

This paper cites Causal state distillation for explainable reinforcement learning,.

Agentic AI framework for End-to-End Medical Data Inference Causal state distillation for explainable reinforcement learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.378007Z

Source-reported events for the cited work

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Observation b2e99e37-32f9-47b9-82e9-e92eb96608ae · outbound

This paper cites Self-Explanation in Social AI Agents.

Agentic AI framework for End-to-End Medical Data Inference Self-Explanation in Social AI Agents

Reference 38

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Source-reported events for the cited work

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Observation 012ac59d-9560-4f87-ba27-77d0619fc3f6 · outbound

This paper cites Agent-based explanations in ai: Towards an abstract framework,.

Agentic AI framework for End-to-End Medical Data Inference Agent-based explanations in ai: Towards an abstract framework,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.366995Z

Source-reported events for the cited work

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Observation 24eaddc1-4a53-4a79-8041-4ba1e5ac6eb0 · outbound

This paper cites Gstride: A database of frailty and functional assessments with inertial gait data from elderly fallers and non-fallers populations,.

Agentic AI framework for End-to-End Medical Data Inference Gstride: A database of frailty and functional assessments with inertial gait data from elderly fallers and non-fallers populations,

Reference 40

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Observation d23e228f-38bd-45f7-b2d6-26d1916c6831 · outbound

This paper cites Classification and characterisation of brain network changes in chronic back pain: A multicenter study,.

Agentic AI framework for End-to-End Medical Data Inference Classification and characterisation of brain network changes in chronic back pain: A multicenter study,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.347665Z

Source-reported events for the cited work

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Observation ed3ea474-3843-43fc-8f3a-ddc6740c68b0 · outbound

This paper cites Patients in palliative care—development of a predictive model for anxiety using routine data,.

Agentic AI framework for End-to-End Medical Data Inference Patients in palliative care—development of a predictive model for anxiety using routine data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.338348Z

Source-reported events for the cited work

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Observation e24a9a4f-c8f6-4b1e-8fdc-e404a0d016f0 · outbound

This paper cites Colonoscopy polyp detection and classifica- tion: Dataset creation and comparative evaluations,.

Agentic AI framework for End-to-End Medical Data Inference Colonoscopy polyp detection and classifica- tion: Dataset creation and comparative evaluations,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.328879Z

Source-reported events for the cited work

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Observation 890d0733-f132-47dc-99d9-4bfa841de5c5 · outbound

This paper cites Towards automatic polyp detection with a polyp appearance model,.

Agentic AI framework for End-to-End Medical Data Inference Towards automatic polyp detection with a polyp appearance model,

Reference 44

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Source-reported events for the cited work

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Observation 6a9e2fc7-6352-49e9-81f4-487c8c318870 · outbound

This paper cites Computer-aided classification of gastroin- testinal lesions in regular colonoscopy,.

Agentic AI framework for End-to-End Medical Data Inference Computer-aided classification of gastroin- testinal lesions in regular colonoscopy,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.313528Z

Source-reported events for the cited work

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Observation 5aa9e304-0379-4bcd-8cb3-e072c1c468b5 · outbound

This paper cites Agent Development Kit: Making it easy to build multi-agent applications.

Agentic AI framework for End-to-End Medical Data Inference Agent Development Kit: Making it easy to build multi-agent applications

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.304025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7705bb0e-815f-49b1-807c-562b4b755778 · outbound

This paper cites Magika: AI-Powered Content-Type Detection.

Agentic AI framework for End-to-End Medical Data Inference Magika: AI-Powered Content-Type Detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:16.037328Z

Source-reported events for the cited work

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Observation be1750d1-f9b2-436f-8230-31aa2c838071 · outbound

This paper cites Cloud data loss prevention (dlp) api documenta- tion.

Agentic AI framework for End-to-End Medical Data Inference Cloud data loss prevention (dlp) api documenta- tion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.294148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6147383f-6960-4edb-acf8-017c778d4246 · outbound

This paper cites MedGemma Technical Report.

Agentic AI framework for End-to-End Medical Data Inference MedGemma Technical Report

Reference 49

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Source-reported events for the cited work

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Observation 7699d616-8ac4-415f-8616-cd82ac61b9ba · outbound

This paper cites Self-Alignment Pretraining for Biomedical Entity Representations.

Agentic AI framework for End-to-End Medical Data Inference Self-Alignment Pretraining for Biomedical Entity Representations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:16.046492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2525e585-c804-4579-90d6-b37d31912d57 · outbound

This paper cites Enhancing training time and sustainability in intrusion detection systems on machine learning,.

Agentic AI framework for End-to-End Medical Data Inference Enhancing training time and sustainability in intrusion detection systems on machine learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.284760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 411013c6-0214-4605-ade8-e7f1e496c221 · outbound

This paper cites A unified approach to interpreting model predictions,.

Agentic AI framework for End-to-End Medical Data Inference A unified approach to interpreting model predictions,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:16.052916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2996cc-0846-4bf4-bc7b-8582d4f97f44 · outbound

This paper cites Local interpretable model-agnostic explanations (lime),.

Agentic AI framework for End-to-End Medical Data Inference Local interpretable model-agnostic explanations (lime),

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.267578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 026b9b0d-5dd2-4699-ae4a-c4e665b43b20 · outbound

This paper cites End-to-end object detection with transformers,.

Agentic AI framework for End-to-End Medical Data Inference End-to-end object detection with transformers,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:16.257525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c095b0f-b0fc-4108-8d50-c68cf1a94de2 · outbound

This paper cites an unresolved cited work.

Agentic AI framework for End-to-End Medical Data Inference Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T14:42:16.433240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 7054d1f2-b104-4ecd-8c79-b29ee7230373 · inbound

AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays cites this paper.

AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays Agentic AI framework for End-to-End Medical Data Inference

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:03:15.965456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e38b00-6e61-4537-a86b-1ea8605adc74 · inbound

Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence cites this paper.

Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence Agentic AI framework for End-to-End Medical Data Inference

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:14.139124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.