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Paper Citation Record · LEDGER

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots

As of 5 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 4 inbound Pith citation observations for arXiv:2511.17652.

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

pith.paper-citation-record.v1
2511.17652 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:29:39.744103Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:30:16.612345Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T19:15:01.429618Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact21
  • verified fuzzy40
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 753a5942-4c0b-42eb-9af5-bfc731c067e3 · outbound

This paper cites Artificial intelligence for digital and computational pathology.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Artificial intelligence for digital and computational pathology

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.868972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:eaa5c1f54940b74ab0fcc5582cfa0fd8d9d1e49dc3b4595dcfe59b66cfd63e04

Observation 7463f22d-0df3-45db-be7b-03e83a713129 · outbound

This paper cites Ar- tificialintelligenceindigitalpathology—newtoolsfordiagnosisandprecisiononcology.Nature reviews Clinical oncology, 16(11):703–715.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Ar- tificialintelligenceindigitalpathology—newtoolsfordiagnosisandprecisiononcology.Nature reviews Clinical oncology, 16(11):703–715

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.871647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:4ac09f860f80ef133897a5739d69018c00ac0421920694add06525b88703e0c8

Observation 8489a1c9-2571-4593-98b4-a7b42a85a1d3 · outbound

This paper cites Digital pathology and artificial intelligence.The lancet oncology, 20(5):e253–e261.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Digital pathology and artificial intelligence.The lancet oncology, 20(5):e253–e261

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.856891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:9281442189e4bee122619c6cd8156f377d8efdfa3165f1f13ce1ac73374887e6

Observation caa099d3-5e85-4a29-bf75-b47d53c99425 · outbound

This paper cites Digital pathology: current status and future perspectives.Histopathology, 61(1):1–9.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Digital pathology: current status and future perspectives.Histopathology, 61(1):1–9

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.854664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:eff016bf3a204478d165916be4229e64bee61ddb3a2df6875d77e8909ff6fdf6

Observation 73315cbc-4e5b-402a-9ef7-df2c48273e30 · outbound

This paper cites Onthechallengesandperspectivesoffoundationmodels for medical image analysis.Medical image analysis, 91:102996.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Onthechallengesandperspectivesoffoundationmodels for medical image analysis.Medical image analysis, 91:102996

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.864412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:575460bcb562770c8f6019800688e4e118b0f6d9ba8fc6a252657e77cc5ba720

Observation 8a7440ba-6d41-40ea-8c1b-ca76e2f4a80f · outbound

This paper cites Towardsageneral- purpose foundation model for computational pathology.Nature Medicine, 30(3):850–862.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Towardsageneral- purpose foundation model for computational pathology.Nature Medicine, 30(3):850–862

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.866699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:8d0f8fc5aab1bb8910f6bba28db448910bc02658b08b59d50bfed0553e796362

Observation 8f3030c1-3dc8-425e-bf68-c72de011d744 · outbound

This paper cites Towards a Visual-Language Foundation Model for Computational Pathology.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Towards a Visual-Language Foundation Model for Computational Pathology

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.077024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:7a2c7064f0d971c6c846b4962f05e665c10155d3227f48f36731171d34f2b193

Observation 0c376b6c-2cb3-437f-8bf8-def077464e70 · outbound

This paper cites A whole-slide foundation model for digital pathology from real-world data.Nature, pages 1–8.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots A whole-slide foundation model for digital pathology from real-world data.Nature, pages 1–8

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.852608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:974a2b3a6f31699ce3598a17909b603a35de70fdfbc69eff21fba3408a337436

Observation ce974f18-9d7d-4e55-bcc3-6fbbc4da9b55 · outbound

This paper cites Towards a generalizable pathology foundation model via unified knowledge distillation.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Towards a generalizable pathology foundation model via unified knowledge distillation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.861708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:07dd79447a9642817ccf0c775b6d49415ce4855d20d3cd991511b6bf8368c406

Observation b41bd76b-b27c-4e4f-a012-91de56c9fad2 · outbound

This paper cites Artificialintelligenceforprostatecancerdiagnostics.NatureCancer,Septem- ber 2025.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Artificialintelligenceforprostatecancerdiagnostics.NatureCancer,Septem- ber 2025

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.859462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:395b551111bbf09128ca8a4c6a396c08edc21c845e77f1d983c2047e9940296a

Observation ab8387a8-41cf-48e8-8289-cf2c84533498 · outbound

This paper cites Gen- erating dermatopathology reports from gigapixel whole slide images with histogpt.Nature Communications, 16(1):1–17.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Gen- erating dermatopathology reports from gigapixel whole slide images with histogpt.Nature Communications, 16(1):1–17

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.835348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:579e43b012f2dd11c939a579515b123ee84ecc57942549bfaf0cf7bda207a6ab

Observation 9837875c-5d26-464d-9dbf-01d3d4933a61 · outbound

This paper cites spemo: Exploring the capacity of foundation models for analyzing spatial multi-omic data.Nature Biomedical Engineering, pages 2025–01.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots spemo: Exploring the capacity of foundation models for analyzing spatial multi-omic data.Nature Biomedical Engineering, pages 2025–01

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.805032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:3df1bdb7a7ac90a6578adb97be6cfeefe5e659041585961e60f8e12681adfd08

Observation 4bf65dd7-45b8-4e46-8cf0-806eb014f299 · outbound

This paper cites Prism2: Unlocking multi-modal general pathology ai with clinical dialogue.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Prism2: Unlocking multi-modal general pathology ai with clinical dialogue

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.152200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:0bc1b81ab02e14d19f086dfb3ad585f3ebd79c546245624d8d1941a4f23b1a31

Observation 0fb3446a-510e-4542-9dfe-6a5f7551e5c0 · outbound

This paper cites Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625– 5644.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625– 5644

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.832637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:81fe50ebc35d428faca2d3c8b2a9cf1c4bd33f8a193c9350b5e933d351313c10

Observation 6d0fe203-0f82-48f3-8094-ed96b394470b · outbound

This paper cites Slidechat: A large vision-language assistant for whole-slide pathology image understanding.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Slidechat: A large vision-language assistant for whole-slide pathology image understanding

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.837992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:a75379af1f20713806ee4bd817d8bdb4a2c38bf0cafd7941ea41bdecfa9d214c

Observation 70f06605-0cbb-40f2-b2b0-66f8cfb7f45f · outbound

This paper cites A multimodal generative ai copilot for human pathology.Nature, 634(8033):466–473.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots A multimodal generative ai copilot for human pathology.Nature, 634(8033):466–473

Reference 16

Resolution
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raw_fallback, observed 2026-05-17T20:30:11.802957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:1a3f2416fbf605df52c4999df9775c8baac8ff4bfcecb85974b286e687ca67e4

Observation 6ccc0798-0280-4780-954c-8824f456f1eb · outbound

This paper cites Avision–languagefoundationmodel for precision oncology.Nature, pages 1–10.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Avision–languagefoundationmodel for precision oncology.Nature, pages 1–10

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.795911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:08d7cc2c86166ef578fb094f57dbe1b1196fd33619b8d04d6b2d1ac3c66547a8

Observation 9b7e45c2-7812-4f7a-9d39-e30806483702 · outbound

This paper cites A visual–language foundation model for pathology image analysis using medical twitter.Nature medicine, 29(9):2307–2316.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots A visual–language foundation model for pathology image analysis using medical twitter.Nature medicine, 29(9):2307–2316

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.800884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:2c6eacf91ca76a3f8eccf87d63b2d745624925da7d94bcb656e99e8cad480dbc

Observation 5185a34b-9eb8-4d5a-b1fe-c77c76eea544 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.092923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:e08300a3467cdd0e955cda236637c84557bb0c356a0354cd0f3fa33175cf499e

Observation 29f59416-1dbc-4bc1-9a84-fbf0ff0cc56f · outbound

This paper cites arXiv preprint arXiv:2505.11404 , year=.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots arXiv preprint arXiv:2505.11404 , year=

Reference 20

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arxiv_id, observed 2026-05-17T20:30:11.148282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:49addd4fa0a1234157115f2bfc8e2402011e179d9dc0c0dabc34af3bb476e7e1

Observation a98639b0-4254-4aa2-b357-e09a7d157242 · outbound

This paper cites Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.129835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:12d6adfd591d02f9ff311a87f67ef44dc5b2566c1fa6535fdbb9eea5332f3086

Observation 24d284b3-9eda-4a8e-88fe-ff1b26524c83 · outbound

This paper cites PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.111658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:930e7fbd8bb16b8fc95f648046b6e7e26962286ef0d07cca2bba15bda287502c

Observation 91598d2a-f912-4ee6-b1b4-cb08d62394c2 · outbound

This paper cites Pathgen-1.6 m: 1.6 million pathology image-text pairs generation through multi-agent collaboration.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Pathgen-1.6 m: 1.6 million pathology image-text pairs generation through multi-agent collaboration

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.798531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:673de890f5fb78c704fd4ba48d788125c2252d089d9112d353fac6190a15e68f

Observation d864f836-00a8-46b0-a7db-3463f7695578 · outbound

This paper cites The cancer genome atlas pan- cancer analysis project.Nature genetics, 45(10):1113–1120.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots The cancer genome atlas pan- cancer analysis project.Nature genetics, 45(10):1113–1120

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.777495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:5d23a9e89026b182f413c22037d90c32097eb069dcb5912bd5fb283094ed365d

Observation 4bc0897f-9d0b-4047-9e21-ca73e88fe51b · outbound

This paper cites Openai o3 and o4-mini system card.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Openai o3 and o4-mini system card

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.789144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:c6fb6e0b69bfd6576ff84b014a25e1b907faf91c535cd06daf40f9cf79e1b725

Observation 52e4ec45-9ddc-4de4-8fbf-883ca87aec3b · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.143351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:84f3bdb4e6a909c6a68fa4059e02edcacf7615a6a20b5fdba5f2cc2cb6636850

Observation 8f7cbc95-4a45-484e-8ccf-dca61b765dd3 · outbound

This paper cites Pathmmu: A massive multimodal expert-level benchmarkforunderstandingandreasoninginpathology.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Pathmmu: A massive multimodal expert-level benchmarkforunderstandingandreasoninginpathology

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.756095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:172cc08216edeab01328afb3ddabcff6074b1ac1e9037c77d821c513ff4fa318

Observation f4985ea8-73c7-48b6-927b-8292f75810d0 · outbound

This paper cites Song, Ming Y.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Song, Ming Y

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.840235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:115d2da86d4faae7518e293f68c08672cb8efc5eb3f7bdca94773eb805b95ffe

Observation 73818fb2-2b98-4b34-9e97-a5fda022c239 · outbound

This paper cites Stimage- 1k4m: A histopathology image-gene expression dataset for spatial transcriptomics.Advances in Neural Information Processing Systems, 37:35796–35823.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Stimage- 1k4m: A histopathology image-gene expression dataset for spatial transcriptomics.Advances in Neural Information Processing Systems, 37:35796–35823

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.775046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:15e24a7d0b7b439e0a4246814868b6b97baab4255152ec72a8d909dc5a3aa3b2

Observation 60f3f7de-7eb1-4943-8141-9ba937d53b36 · outbound

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

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 30

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verified exact
local_arxiv, observed 2026-05-17T20:30:11.164073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:6551a8771e97b2cfc812cb1a3d46d2d8b68f56e662d157605733f0b0e2206bb9

Observation 8605bc63-2d64-4d2d-b85f-3a98561862ce · outbound

This paper cites Pathological Visual Question Answering.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Pathological Visual Question Answering

Reference 31

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verified exact
arxiv_id, observed 2026-05-17T20:30:11.168782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:aa23a780342c18245f850283134c03b635b46a5d40420905c5f8be9601278a2d

Observation 3c6d2913-7a9e-4521-9e21-4575b6d84a51 · outbound

This paper cites Qwen2 Technical Report.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Qwen2 Technical Report

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.097658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:bee76ca39688f597c49d34ebc6bef582ff27a278161f0ff8328a4279802d9bd1

Observation 50f40bc7-ff7a-4133-b8af-763bb33c9c00 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.103194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:2e8d7f127ed21bcb2c97d932df675c5d116eaceba82ea7e527fec56cd699ece7

Observation 946072c0-400a-48d9-b0b3-18f68fc46abb · outbound

This paper cites MedGemma Technical Report.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots MedGemma Technical Report

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.086661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:515cdd2e992594e43721be36ecb0e0ed83f702778138354ec6da059b367471f2

Observation 4e78b69d-9781-4e46-88b6-8549f8d92e5d · outbound

This paper cites arXiv preprint arXiv:2508.02669 , year=.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots arXiv preprint arXiv:2508.02669 , year=

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.081611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:ea71297f1f63238281f5d358957689618c40317291d2ad211510445d4d608422

Observation 0d1c1b32-b354-47f4-88e1-680f90ab88bc · outbound

This paper cites Lipoblast: morphologic features and diagnostic value.Journal of UOEH, 36(2):115–121.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Lipoblast: morphologic features and diagnostic value.Journal of UOEH, 36(2):115–121

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.753816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:57ef8c5d9a916fb19444f3f88990f8ebce6dcf3fc5317ff905e3687a0ecdcb4f

Observation 34bda4ac-f232-4cd0-a6b4-67a4e1b51537 · outbound

This paper cites Gaia: a benchmark for general ai assistants.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Gaia: a benchmark for general ai assistants

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.758434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:1c358c157d1fa4c0e3f3999790a02e288782b039c4aeefe04e2c48cfb4523176

Observation 6ecd1356-5dff-4f38-9cc9-9c60da0d15ff · outbound

This paper cites Advancing AI Research Assistants with Expert-Involved Learning.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Advancing AI Research Assistants with Expert-Involved Learning

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.120460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:580b9e4440e59f33c53fc394feaf86b4588278a03659cbf6652f3a8ed218e981

Observation a2f1c4c2-2677-41c8-84ca-0106ce44070a · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.139647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:af271251cfec4ea78909a50135fe453fb20c316e0aa5a3330857bc49237e6fce

Observation eb384ef3-89e7-414b-b52e-c70e2c7438b5 · outbound

This paper cites Gpt-4 technical report.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Gpt-4 technical report

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.850150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:f6a4b209e07fefea9852979e9c454f7ede05a44b53338b202a839386238f869f

Observation 1af039bb-f3f3-4817-9246-d517a0213682 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Bleu: a method for automatic evaluation of machine translation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.829616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:3864fc6c9da3e5f9b08ac4a7c2e6bd27bdd0bda8dfed18429fc5226fda7e9c6d

Observation e9699dc1-66a4-4261-b0f3-927f3ed1a681 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Rouge: A package for automatic evaluation of summaries

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.843166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:77ad708d4a7376d7f9274321a4b22a07638b6ea76e62e92e3f472d0a8c9dd821

Observation ba79d40c-f46c-416c-b4d0-0c948883feab · outbound

This paper cites Bertscore: Eval- uating text generation with bert.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Bertscore: Eval- uating text generation with bert

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.847949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:9cafae49cc9d96a8cfada8663ae94ed807d0599b7cacd2194ae1c466451339e6

Observation 1756de05-b96a-41f4-9736-fb9974cf3e04 · outbound

This paper cites Quickumls: a fast, unsupervised approach for medical concept extraction.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Quickumls: a fast, unsupervised approach for medical concept extraction

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.793271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:f15b4c691e9ed960762c0c029b5c9169754cca8a94f0f800216ce6d5c635417c

Observation f3bf449e-e68b-497a-a18d-5033fc9a57e3 · outbound

This paper cites A visual–omics foundation model to bridge histopathology with spatial transcriptomics.Nature Methods, pages 1–15.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots A visual–omics foundation model to bridge histopathology with spatial transcriptomics.Nature Methods, pages 1–15

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.784605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:662f9b6f5c33c2e42d93cb5a0a41f54771eb91ba5abbcc10f4078e6ee1edb69d

Observation a45a9656-2679-4661-8b51-8dc72ea7a646 · outbound

This paper cites Analysis of 3d pathology samples using weakly supervised ai.Cell, 187(10):2502–2520.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Analysis of 3d pathology samples using weakly supervised ai.Cell, 187(10):2502–2520

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.786958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:5ced09e869aed528dd7306e8b020f99baf364263aaa44b3e59b5d41228e48256

Observation 877590e9-17f8-4e7e-8bec-5337d2a5b29b · outbound

This paper cites Visium technology.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Visium technology

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.845685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:e53ffedd76ec05b496967af7c1cbc7379a66e382c95648c07fe054dc3c23f86b

Observation 86b01789-5d52-4e40-98af-11af96e9e5bf · outbound

This paper cites Cell2sentence: Teaching largelanguagemodelsthelanguageofbiology.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Cell2sentence: Teaching largelanguagemodelsthelanguageofbiology

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.763129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:d888aa51cc9fe190540849b6e6bc2ff5e032d4e8ac1977d05af31d3dbc137b76

Observation 8b34d167-b71f-4aa2-8616-95fa17f59de6 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots HybridFlow: A Flexible and Efficient RLHF Framework

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.107485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:a9534606adce69a8415709061b72e98f4e5dbab337fc100b07d55b5cb30b8d03

Observation 87e911e5-bef9-4271-8b03-ce0c489a9815 · outbound

This paper cites LlamaFactory: Unified efficient fine-tuning of 100+ language models.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots LlamaFactory: Unified efficient fine-tuning of 100+ language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.768509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:2f6e1ed0c999b38e64ffee56c4530f745246aa5b97bbd42552a935b49f2f76af

Observation 1fd95f6b-1843-47b2-b6fe-678a0daa9e3a · outbound

This paper cites an unresolved cited work.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-17T20:30:11.765532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:1173bd5649ea3b751824fd286f170107dd9d2f7de044312a7c5bbeb37ec56171

Observation 0455cee5-961e-4bcb-bfc4-e118f91e7591 · outbound

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

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.156330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:46f250441d380c97682b6a2b6a985d95fbf01420a87106735aca373711e07349

Observation 0652fd76-8199-45b5-afc2-735d48feaf6b · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.172348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:cd896ccd2b91cd5fe54ddeb5f14588cd4cc71a828fb3631499ba049a5ea57058

Observation 735a828e-c7d6-4237-a9db-4fc798cdfe7b · outbound

This paper cites Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.760939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:330a8e530813028c9f1944adae803ddda5463621968063c43ce19c7ce2fb5fb6

Observation 17909f9b-2d53-458e-842c-a597c51aab94 · outbound

This paper cites Scipy 1.0: fundamental algorithms for scientific computing in python.Nature methods, 17(3):261–272.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Scipy 1.0: fundamental algorithms for scientific computing in python.Nature methods, 17(3):261–272

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.782405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:dc8bb864187c29ba341dd1f1531b04b14461da1705a8d9f7cc9ef82cd64b576f

Observation 0e14ebc9-a3d0-4af5-857b-8d0799a463e2 · outbound

This paper cites Radgraph: Extracting clinical entities and relations from radiology reports.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Radgraph: Extracting clinical entities and relations from radiology reports

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.779953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:c51afb92d1eff6f5dd79f8f903f798db3a8d08c8ccc7c83cec77b7d4d40470a2

Observation c2a32a7c-a4c8-47cd-9bf4-6a1921e5c53b · outbound

This paper cites Aci-bench: a novel ambient clinical intelligence dataset for benchmarking automatic visit note generation.Scientific Data, 10(1):586.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Aci-bench: a novel ambient clinical intelligence dataset for benchmarking automatic visit note generation.Scientific Data, 10(1):586

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.791248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:de9202aaa23ccc3d5d09e358f12b636df04c08ef68899b871b6c32f495677d40

Observation eb7bfc1c-b124-48dc-a0b1-9dfd37d445ef · outbound

This paper cites Adapted large language models can outperform medical experts in clinical text summarization.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Adapted large language models can outperform medical experts in clinical text summarization

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.770605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:746bdedfe58037b60623cfdbaa6e3eac60203e17270561e32cc702da1cd1d133

Observation d21dd540-0ddd-4a7a-8910-eb19dfc52396 · outbound

This paper cites Visualinstructiontuning.Advances in neural information processing systems, 36:34892–34916.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Visualinstructiontuning.Advances in neural information processing systems, 36:34892–34916

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:30:11.772665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:ffce493b9dcf17b366c341586f928cb22b890b894c080b087445b99adde74343

Observation e0190bf3-ac8c-4976-b820-cf6851901b3d · outbound

This paper cites Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.134883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:98e3adf733d1925edb9e56fc056f85e545db8d861aaed3c97113a5ff5e7c535a

Observation 4104e248-36d5-4c61-b19b-a4f6936dc510 · outbound

This paper cites Part i: Tricks or traps? a deep dive into rl for llm reasoning.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots Part i: Tricks or traps? a deep dive into rl for llm reasoning

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.160442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:5195ec7ac6a577085da85fe8b38c722015dc5cd59ce496d675ecc162bc083576

Observation 6f0c7d33-ee0b-4908-8407-12343980bcf5 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.116491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:7c55cb4401375a41b2c3d83d199a52c882ab52c8c9080c551947c37a2af670ef

Observation 97c674a9-d573-4b13-9f73-a70f64d2ec4a · outbound

This paper cites arXiv preprint arXiv:2508.11408 , year=.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots arXiv preprint arXiv:2508.11408 , year=

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T20:30:11.125071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:29:39.744103Z digest=sha256:852408a8db6fa48b534a014bd3041b285f72e57dc4eed33da6088e6ae001e75c

Pith citing papers

Observation 1a36df75-107e-4b58-8322-0fe6fb2dc80e · inbound

A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization cites this paper.

A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-11T20:11:09.252473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T10:10:41.877778Z digest=sha256:5403b10fc4e6b299428071797bb110d0aac48ca95bb379a056db45b11f78e629

Observation 72561c4c-357d-43aa-84ee-3942b770e506 · inbound

A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization cites this paper.

A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-12T07:11:27.034581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T03:37:06.009960Z digest=sha256:fae117945d8591600bead505eef28f33f4c0b47ac7e374afe8e4c0015643cae6

Observation b71ff2a9-ffb0-40a0-9afb-a8aceadf5d3c · inbound

PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow cites this paper.

PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-30T19:15:01.431179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T18:39:14.083052Z digest=sha256:acf66126056c004522f1c824b8b854ca172f22970c5c560023fccfc60cea8196

Observation 17763079-ce69-4d23-bbe9-f94f340e4960 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots

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