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Paper Citation Record · LEDGER

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.221024Z digest=sha256:f5ca56cd1755a5f2faa249b500acce3911b5d084acd281a3e93965ad68044870

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.224772Z digest=sha256:f48a46c7b06a5e6368c6c76547a26e7eaaf31ca445ea3d4cec16aef7f3464ee4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.229297Z digest=sha256:064e9faf15b3668c02397161c9b4b87f35784ff3e2ca8f10b48f1a69aa6a122d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.233931Z digest=sha256:ea4fc6a9b2db95692166883b6fd146b4f87aab219d53e8fe56a0c7989d12e715

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.237856Z digest=sha256:33fafd041e23f1c902696cf7b474565477ad547cac6fe5e2d2cf716aea9166e4

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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verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.242019Z digest=sha256:863ba32e734d10dd198041b595863d3ec4c6a548576b8814f3d6803efd4d144e

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

Resolution
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.246456Z digest=sha256:0af0086e5e06139ddbe28efb659f6fb283bfc74817872d3138ba83a777f84d23

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.250105Z digest=sha256:679d50212dd24e6c38264494f345850e78a80129ab41939e47b71bf0695b9a5a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.253701Z digest=sha256:4c55866f690655e6066f5130a0b928a52fe22e217ae3671e32840b081677b199

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.257425Z digest=sha256:f607056ef6717b1b08b2b979473245c7e053066680d2e886835570588681c63f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.261332Z digest=sha256:b3a478334b482e51030a8cf2be57300b411dabf6e844a25b46e8d2b29cecfd48

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.264919Z digest=sha256:3732333adf370de3e7c82c2cd96f64f4f4f1977a22fe73b739dd50f0d2a66882

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.268582Z digest=sha256:4854e4a200d4a125f18ef64eb61be4736129d02c754738c622b7e9d1ba5446c8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.272361Z digest=sha256:4cbb48e4e65e99c211143485dd63c9cb96c7f0c53acaf63b59609f37d9273304

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.275967Z digest=sha256:e2bc15fb4eae8babede155e6d163553c33e99727abbe1e6e87a698b605274000

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
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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.283431Z digest=sha256:27d9af2bb622cef20e2bf26c25768fa192d5f948cc4e9f0d81a4d9539e2b4238

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

Resolution
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:e3f22abb4fa4376b96da78c5068ae3bdac0685e4c209cded62a8487cafa73819

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.291613Z digest=sha256:d1187108cdc4991985ced2b7d2ef01c8d31632844135019bc2d88eb3073f1e6f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.295985Z digest=sha256:469175a1e4008cc2215884e41ab56dda850fd472dac7f1ad088d542905f84657

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.300497Z digest=sha256:85ee82643ea974397d1f98c208bef729f0a80462a2f1f8b31919b9e9dcfe1f81

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
unresolved
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=sha256:7179ab4d54051ffbcd7407f65748dcfecac623b3d2520bdf7778930a588c1ae5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.308037Z digest=sha256:72235cbef8e2c1d5fa9149b0680dfe4247a7a8ac5b45ef94c14c4be1e4a52efa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.311554Z digest=sha256:9b0647f8a1ce1f969a1e79c9468a75e69eb5326341fee04f89e71b15814f571a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.314935Z digest=sha256:15018b12f38c28800992bbbb5c56288cd51e25e2e363f6bb04a7b2830f5b0ce5

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=sha256:33764f02a7cbf892e4c52c3b60dbf7624b57aa7293e6166883559b44736de97a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.322489Z digest=sha256:fb31f8ac80715c198818f0f1f6dcc99920ff176bb04ec84973816775ddbae69b

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=sha256:301c72e598408e47a7ea07e1d399a785fc590fc5d48c2e7fda7824f6f58eb552

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=sha256:337a0f22f7704bfb9329d89ea1298d68b0f5ed87fe14535b2105679b81e9d9fc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.334326Z digest=sha256:64749e251f64ac2411193bb2570161a06522df72f7ecf1b156563f23475a4e3d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.337910Z digest=sha256:e242a3a0712255077718ce21eb1746efa3e18fa052e7b00381f5cb33f980bf4d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.341653Z digest=sha256:eccc3b61164f00f6bfd6761dcefb6be24d288286fe728f7d442cab95e874b5e4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.345248Z digest=sha256:12ab33011d5663edb37c3d5b3418f71320cca4a4d7ed23d3e5a32569435b496e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.348744Z digest=sha256:957b31dbf40b571289827acb4fc1c199518e41538e8204dc076e7633b7e76a3b

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.357612Z digest=sha256:dc17555f0684486b8c2fb72db77220eae8b57464ec292ce89bfa277f48080ef4

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=sha256:21701596cd48e94a44a969bb6e5ea48acdf409d7484a15fb4f19dbc097f6ce39

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:abf17732950c5e32582fce338215353a9797d4a10e970fe9bb9d42783100cc92

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=sha256:0ed4e13b566581494ff3ca9d899175d40eca905595100cdca066117ba3e130c1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:48:58.371302Z digest=sha256:dacfc026d999c1a3a1c0a719923e15d302d097a2498ab6c74c33a8d7da37f86a

Pith citing papers

No inbound Pith citation observations are available.