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Paper Citation Record · LEDGER

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis

As of 20 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 2026-08-20T06:33:59.587034+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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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.221024Z digest=sha256:0e3b40de1e6583996742fd742f857a3e29d440e0f5e5ba68874abcf3d2b3fa78

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.224772Z digest=sha256:203c19592cf0936970001965e6ab2038a59b3d7185e294d1fff550c6570e457b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.229297Z digest=sha256:867d61843c34b727504d2b0ef01a481f3812b207da45062c45371339cd806d20

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.233931Z digest=sha256:f35da62d8da1db3297f4665830fa154546186fd009231728bab0ea9a6cfb94fe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.237856Z digest=sha256:a66c7540bc1ca7793d717e63e7dfb0c826616cd15c0b8b8608350e21aec9412a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.242019Z digest=sha256:6389e463dc3b6c7b7c15dde384f9289487378d8fbb338c5b783fa737d9d65e9d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.246456Z digest=sha256:3ec30e8002bf7e8b4c8f218bd9004eec33290304ae88e8f662678c19e24a60e3

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.250105Z digest=sha256:234546cfae18b21529b985f5065300f09db2cbcfa6b199c3c39ccf4412491ae2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.253701Z digest=sha256:ea61ea1639844f058836ea3278436dfd806e6d4f4e0cc5c66bb543752a5346c7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.257425Z digest=sha256:280449244bd42c377c7f73de4d3a44ae0201b732916101c4ec57ef011d4c9e52

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.261332Z digest=sha256:4e1a0dd31fa9ff4a9fac105edfbb176c95c5a6bd27c3e14bb57115d0f2e246b6

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.264919Z digest=sha256:8626412df9fbcc844f9693ad0d29161135c3fc93faf184c2b0ec93bd4e1f0715

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.268582Z digest=sha256:47f657a2ea5c472f8fd101330a2a007e579679158e725f04961476883e247577

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.272361Z digest=sha256:aeabcb5b132047fc462f76ede2de2402ce97421601efb6e4ac7c043ae42a1ab8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.275967Z digest=sha256:17c4e28a7d8a99c820d8e388d2f7569842c4b240cfd428ca67f069b86698687b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.280005Z digest=sha256:f9dd1c70f91bba9be68bc7600dac09306f790b9e1b1e9f1ac004eccaa9fac6f0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.283431Z digest=sha256:04fa5008430dc9018c16cad9c5e22405ad6e13a4de50a7ad782016834c3e5e82

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=sha256:1aa38e05661c1e2e4fae5755cc8d04a001994d03a5b3643926949a0e6709798f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.291613Z digest=sha256:e57220fe7fd8fc14e755a9899c3086c3b78ab3cb511df76f480c6837d2d94702

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.295985Z digest=sha256:b48c9884ede7c700084e5856ca234589c43402415baed1dd6b87eaa34cb64ee1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.300497Z digest=sha256:6b1a2f7d780b4449db694eb14d3598f04f4c21f799cfcc547de47ef02bf8fa87

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.308037Z digest=sha256:5a405b13ec4e65dcee2ac56702d4d41d341fc170060a988baa6d2ff9e18df2f5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.311554Z digest=sha256:553f86a2c5959ee2d7e2d074af24dac96851d0fe88735c7572041ca82c4e18fb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.314935Z digest=sha256:f5fdcdfb763ac49555d750f25f17d8544872ec29ee436b9f3f2470a9d5768151

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.322489Z digest=sha256:1566a4f60de4493047fa1ab819740a6ed83b4c61b06d54ff387c7bc8170c47cc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.334326Z digest=sha256:32c33f9dc4a9e9524191e0a4e44f19bc29d2ce7204958cbfcb8f9e7b6f28ba35

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.337910Z digest=sha256:a69766366389a79495778c63b54128b1d3e5d3fb8f728bc3e3ad2c6b26b3a72c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.341653Z digest=sha256:883fe34d21b38ee0fc8f83e37e4485aaad60dfb1b0e7ae90999a6c64b90a8cc0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.345248Z digest=sha256:7adcbae357a5f51eca58dabd78c41acc63f1cdf0d14d4f3ae0a0e8689accbd3a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.348744Z digest=sha256:5c60d3e57c13aede908e98b5b65690c3573cd8affa6b42a5bb9969bef146b2c2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.353473Z digest=sha256:61dfb1b92f5e0d397299dde24f1e79c48000926ba9e1cf7e3e47ef6e94b90c19

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.357612Z digest=sha256:24a9bda0b5c03c0394ff8acdf8fc8ac7a37355368e057906602ca6fea9066465

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:48:58.371302Z digest=sha256:55397bf3c9720a0e447aae99c02030580b1e792b270f6d28010c9dc72fe10f7d

Pith citing papers

No inbound Pith citation observations are available.