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Paper Citation Record · LEDGER

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2508.20851.

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

pith.paper-citation-record.v1
2508.20851 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:48:58.371302Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e3b90c7-7aef-42c0-9589-e5ec14aef92a · outbound

This paper cites Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.910597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.216967Z digest=sha256:fe03c94ea192be803205ef04bff30be0009307f848144cb9fe20e13551b2706c

Observation b315c202-54bb-4db8-8bd3-2d28783b019c · outbound

This paper cites Cancer survival prediction from whole slide images with self-supervised learning and slide consistency,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Cancer survival prediction from whole slide images with self-supervised learning and slide consistency,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.899086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.221024Z digest=sha256:4ea02186465b0377d4e6cf79e8b2101aaa90f16221d5317a660040420d46c3e2

Observation 30e5f7e3-55f6-41a4-9bdd-a712d875f12f · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Transmil: Transformer based correlated multiple instance learning for whole slide image classification,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.886172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.224772Z digest=sha256:5c0dedfd6c03ab5090d456994fa0aed960249a400cbe2887bf23f115644eef9c

Observation 6232414e-cef8-4bf7-a622-ef287d0c7b50 · outbound

This paper cites Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.875199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.229297Z digest=sha256:3d607712ccb635cd0712a6ed002529e202841b1869cc669f9be47057d8df2476

Observation 2bb31fce-ab61-47a2-b14b-632f77325562 · outbound

This paper cites From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.863219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.233931Z digest=sha256:2bc9ec11715b4791f18822f4a28948a9782d9cf22080c6336b4cbf9c19fa331a

Observation 902c78fc-52b4-4376-8367-d7b0b6bbf9aa · outbound

This paper cites A pathology foundation model for cancer diagnosis and prognosis prediction,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis A pathology foundation model for cancer diagnosis and prognosis prediction,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.850880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.237856Z digest=sha256:d0143fde0e447ae8ff9074b43cf43cda26c8645d66472a3afc1c981102a1e890

Observation 57e17940-fbb9-484c-a618-3ca5109d077a · outbound

This paper cites Cross-scale multi-instance learning for pathological image diagnosis,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Cross-scale multi-instance learning for pathological image diagnosis,

Reference 7

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raw_fallback, observed 2026-08-05T14:48:58.839648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.242019Z digest=sha256:b64c51c5ce913ed3de4f5972cd6a226e623d8e87b1aa5ab43c41da3cc2b10ac7

Observation e314b8ae-c7a9-4931-993a-81eaad94ad53 · outbound

This paper cites Dual-stream multiple instance learn- ing network for whole slide image classification with self-supervised contrastive learning,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Dual-stream multiple instance learn- ing network for whole slide image classification with self-supervised contrastive learning,

Reference 8

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raw_fallback, observed 2026-08-05T14:48:58.827617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.246456Z digest=sha256:2b7e1c7e402be36746132b3baac797685e84b6a15ec8459cd08e5a0a685ae946

Observation 2f1c5f14-81d8-4658-a896-95b8b328439f · outbound

This paper cites Pathologist-level interpretable whole-slide cancer diagnosis with deep learning,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Pathologist-level interpretable whole-slide cancer diagnosis with deep learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.816503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.250105Z digest=sha256:15c6f13dfb692c3465b0c8457bf43b964e4d6633043bc8d5e7f9c5ad7df14238

Observation 18c1de5b-bc39-4ea2-841a-624bddba92bf · outbound

This paper cites Quantifying explainers of graph neural networks in computational pathology,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Quantifying explainers of graph neural networks in computational pathology,

Reference 10

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raw_fallback, observed 2026-08-05T14:48:58.804327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.253701Z digest=sha256:cb2e423772e1e6bddfddd3cb025a7f98d32c31a83fd08bc459b9798852cfddaf

Observation 53dc78de-78cf-4cfc-9a7e-f712fb55f240 · outbound

This paper cites Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.791193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.257425Z digest=sha256:f2d4429ac7af48789cec6a20ce1042140bc156649311ea8e4e6f52b35eb0da3d

Observation c566ff10-8787-47f5-bfe0-5d1628516cea · outbound

This paper cites Wsi-vqa: Interpreting whole slide images by generative visual question answering,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Wsi-vqa: Interpreting whole slide images by generative visual question answering,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.778608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.261332Z digest=sha256:cfbedd1370ba5d7383001592557d762ed58a9d5ab22c8a9a369c57ac1aec00cd

Observation 37565924-2cca-4a50-a564-c09c2adfd842 · outbound

This paper cites Wsicaption: Multiple instance generation of pathology reports for gigapixel whole- slide images,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Wsicaption: Multiple instance generation of pathology reports for gigapixel whole- slide images,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.765255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.264919Z digest=sha256:9842cfcd89aaa36903252ade29a2341cfb63a196990884e50cb28d0372a944dd

Observation 1dcfd0d3-30aa-4183-b8f0-0d089938f741 · outbound

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

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Pathgen-1.6 m: 1.6 million pathology image-text pairs generation through multi-agent collaboration,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.753436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.268582Z digest=sha256:00b022871e48df10dc90f290bafaed12ee99b14b6d4ac41f9bf668c8e2302a78

Observation 09cbd259-70f4-46a1-9bb7-5e8c21f86162 · outbound

This paper cites Histgen: Histopathology report generation via local-global feature encoding and cross-modal context interaction,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Histgen: Histopathology report generation via local-global feature encoding and cross-modal context interaction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.740619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.272361Z digest=sha256:41ede35d85c74c0f2a96569077b9bcf52bbef6decd4e52a7a9e2bebc56c424b5

Observation 054fadde-966c-418b-9e5e-8e29a47557f0 · outbound

This paper cites A visual-language foundation model for computational pathology,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis A visual-language foundation model for computational pathology,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.726912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.275967Z digest=sha256:d8d0ec7626e2831c0a9de1094b8b0d1e980c163129fcfc515d0dee93a4d1d1cd

Observation 2cef9102-9e4b-444c-a379-9396c0c461c4 · outbound

This paper cites A foundation model for clinical-grade computational pathology and rare cancers detection,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis A foundation model for clinical-grade computational pathology and rare cancers detection,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.714245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.280005Z digest=sha256:92f2ce94f20c1ae56e237c53d14e7005f279bb4ac74386f4b6b3a59c686c31eb

Observation 49a3d7d3-34ba-401f-b170-bab1fd6366cd · outbound

This paper cites A whole-slide foundation model for digital pathology from real-world data,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis A whole-slide foundation model for digital pathology from real-world data,

Reference 18

Resolution
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raw_fallback, observed 2026-08-05T14:48:58.702461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.283431Z digest=sha256:5ae769048202553ebf374cf975ba18be4d0df89cf018ab0176d1b141fe553c0a

Observation f356336d-23e7-4449-b940-ee91246d1fff · outbound

This paper cites A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model

Reference 19

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unresolved
no resolver link, observed 2026-08-05T14:48:58.286894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.286894Z digest=sha256:1aa38e05661c1e2e4fae5755cc8d04a001994d03a5b3643926949a0e6709798f

Observation dd2cad70-12b2-4261-82d5-94b1ebad45ea · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Florence-2: Advancing a unified representation for a variety of vision tasks,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.690540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.291613Z digest=sha256:b2e58a4b0dc22e6bdada6e8baedca4262cfeb4f1edcba04c6f11860df05bf148

Observation 0866295d-8203-4e71-a5fb-634728c11f7c · outbound

This paper cites Groma: Localized visual tokenization for grounding multimodal large language models,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Groma: Localized visual tokenization for grounding multimodal large language models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.680068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.295985Z digest=sha256:224f7cd317e234ab1ca999b0bcee45afb167cda95a3f02b25e215454c9b03318

Observation afb19776-11d0-4344-8d96-d0469944d3be · outbound

This paper cites Omg-llava: Bridging image-level, object-level, pixel-level reasoning and understanding,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Omg-llava: Bridging image-level, object-level, pixel-level reasoning and understanding,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.667850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.300497Z digest=sha256:78f64ce5e2e7446505d19d741e9ab1b5104c4eacfc36ef45e5d22316dccc5858

Observation af9934ca-6de8-4b77-89ab-c19a6937c343 · outbound

This paper cites Lisa: Reasoning segmentation via large language model,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Lisa: Reasoning segmentation via large language model,

Reference 23

Resolution
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no resolver link, observed 2026-08-05T14:48:58.304459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.304459Z digest=sha256:874e02da8cdb53d236026c8e6b731911c6e38f575a89f9aec3015cd36b95f0c7

Observation af07dcc4-6e10-4fcb-a90a-1024ad7c9f08 · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Pixellm: Pixel reasoning with large multimodal model,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.649193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.308037Z digest=sha256:b956733bc72721d90b74e8fda87b988248a916b1b3e4c8fd0f2f19255f814264

Observation cd91578a-01e6-4ac1-837f-0c45ace16bcc · outbound

This paper cites Glamm: Pixel grounding large multimodal model,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Glamm: Pixel grounding large multimodal model,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.637103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.311554Z digest=sha256:b7a9c12fa940dc7501c1dbd08ae966fd892c2c2b55c99af50ca1577fd18fda3f

Observation a4c0eae1-69b0-4583-a108-fe62f0e7bec5 · outbound

This paper cites Perceptiongpt: Effectively fusing visual perception into llm,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Perceptiongpt: Effectively fusing visual perception into llm,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.624458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.314935Z digest=sha256:e043603f08f4eff7625df130165571fc3e0ea1841e94331464565c2934e22f61

Observation 59c73559-cf70-4d00-9eb9-a2920ea34c6d · outbound

This paper cites Gsva: Generalized segmentation via multimodal large language models,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Gsva: Generalized segmentation via multimodal large language models,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:58.318821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.318821Z digest=sha256:0746144f04491d14f95f23d2c2654961aadefdf82e3cdb1f009af93dbd02eb31

Observation a0da1f7e-307b-49a3-9611-4938f29df482 · outbound

This paper cites Visual programming for zero-shot open-vocabulary 3d visual grounding,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Visual programming for zero-shot open-vocabulary 3d visual grounding,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.604376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.322489Z digest=sha256:40e493a0548d0130ce03e24922b3cc809c54cfd39ae60bbc99936598378c0192

Observation a3581282-5375-448b-8b2b-2c4b7c6ef8b2 · outbound

This paper cites Prima: Multi-image vision-language models for reasoning segmentation,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Prima: Multi-image vision-language models for reasoning segmentation,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:58.326059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.326059Z digest=sha256:9bfa23aaa262298e2f702278dc2646f35068a532dd1c30601955c865c96e34fb

Observation b1d46ea4-9af0-4f24-a73f-941a4cb2a59e · outbound

This paper cites GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:58.329980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.329980Z digest=sha256:740069ff479cd1aa5e2b4f1d743095ff2a6bd10d700836f2926e0c5be01df00e

Observation 79c27e72-ebe4-4a94-8f32-e8c072761441 · outbound

This paper cites Mmr: A large- scale benchmark dataset for multi-target and multi-granularity reasoning segmentation,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Mmr: A large- scale benchmark dataset for multi-target and multi-granularity reasoning segmentation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.593346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.334326Z digest=sha256:6360febcb8eefd544da7ba81ccb76fc6b9d007d37d2aaa3963ec3394d4b739d4

Observation 5c1224e2-3e99-4f6c-8202-0a23864fd8d4 · outbound

This paper cites Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.582094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.337910Z digest=sha256:b4bf812c09a726faf8246a9e5d59c8c5ed568d99ffb17d03ce51a79b22df7a03

Observation f38b471c-1695-4b84-9c2d-cf371e8d498c · outbound

This paper cites an unresolved cited work.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-05T14:48:58.570072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.341653Z digest=sha256:bd428d98042f6203fe881fea3303379a77c5a4876ab3f8569fe774524e6d9d02

Observation a5e93b25-79e7-41bf-8e3c-321a837789de · outbound

This paper cites Inference of captions from histopatho- logical patches,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Inference of captions from histopatho- logical patches,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.558558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.345248Z digest=sha256:977d50de7afd4c1f354adb1b7307cfbe009fa39f94ff8b568e62009ecd3c6f42

Observation cfa436f2-eb94-4a0c-8413-acabd05dbde8 · outbound

This paper cites Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.546761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.348744Z digest=sha256:ff4128f64765eda598794f28ea71b1101240a13600ccd95dfe0ea41904d8a8b1

Observation 53ec337e-bd11-463c-bdd6-21a7cbf127c1 · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Open-vocabulary semantic segmentation with mask-adapted clip,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.534953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.353473Z digest=sha256:f9a97264e26a80ad7cabca2681a05f2d8d51a9aac9ea30b512dc161bb4aada35

Observation 91a6a8b9-fabc-4d57-b439-bb5869565365 · outbound

This paper cites A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.522763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.357612Z digest=sha256:d2618747bdf0be6ce3475b6a65dc872a137efb560f1be7528f7161cd019087cc

Observation b95ce267-db4c-44b7-a6d4-ee0a98d90657 · outbound

This paper cites Segment anything,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Segment anything,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:58.361141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.361141Z digest=sha256:5760916e6f8a92b9f516f7cb959387c9cfa7a5e319d4e6dddde1c1d11739189e

Observation cec35e48-a63d-4c9e-80c9-921d2ae04196 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Learning transferable visual models from natural language supervision,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:58.364880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.364880Z digest=sha256:40589bc893c40327865c6c99e8bd11f3626a9770a2e0d1ac28158b75568af5ba

Observation c84917ff-7546-40b3-91e7-1438f7f939bb · outbound

This paper cites Visual instruction tuning,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Visual instruction tuning,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:58.368077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:58.368077Z digest=sha256:226bda41ec602ac48e9814748b9db69605e3afaa156a74041dcd314edc2584ea

Observation 1539d298-53d0-4194-bd12-58d5963e49b8 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day,.

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis Llava-med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:48:58.488982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:48:58.371302Z digest=sha256:e096434596ea92d3b7ad4a12260a962dd36ebb84a24d79ba4a6ce278dc60f436

Pith citing papers

No inbound Pith citation observations are available.