Pith. sign in

Paper Citation Record · LEDGER

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.23794.

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

pith.paper-citation-record.v1
2607.23794 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T12:15:47.450859Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 878ff716-20b3-4a23-9700-3f478e076894 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Towards a general-purpose foundation model for computational pathology,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.509652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.509652Z digest=sha256:9c808c4ad72c87d582b3b58138a2bac38707ba1cb15997090e5ea7a5384b4241

Observation 69d634b3-f896-4be4-b9a0-ae7d731e9432 · outbound

This paper cites Cost-effective instruction learning for pathology vision and language analysis,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Cost-effective instruction learning for pathology vision and language analysis,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.552330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.552330Z digest=sha256:79c5dbf80cf53fff439837e6b358df01e8d4b0584ca8799ecff60329b1f8bd87

Observation 14d5be11-0701-47a4-be48-7f6c5811f653 · outbound

This paper cites Quilt-llava: Visual instruction tuning by ex- tracting localized narratives from open-source histopathology videos,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Quilt-llava: Visual instruction tuning by ex- tracting localized narratives from open-source histopathology videos,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.611187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.611187Z digest=sha256:81b52b79f4c0479fcd502aa3d3dd30281ce787b7caf2e4edfddcd4dacf47e697

Observation 4b806383-a15b-448f-9e01-06b533758a12 · outbound

This paper cites Patho-r1: A multimodal reinforcement learning-based pathology expert reasoner,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Patho-r1: A multimodal reinforcement learning-based pathology expert reasoner,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.670490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.670490Z digest=sha256:40c0ae9f4b23142edafc6f4e4f93d86b51faa348d7f7d71f01aff12f338c3245

Observation 67782d64-5244-4485-8913-8d328a18492e · outbound

This paper cites Pathreasoner-r1: Instilling structured reasoning into pathology vision-language model via knowledge-guided policy opti- mization,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Pathreasoner-r1: Instilling structured reasoning into pathology vision-language model via knowledge-guided policy opti- mization,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.732838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.732838Z digest=sha256:feef276798439edc8997896d942a1520f05102b1cd9a5eb45b2de7d519fed60d

Observation b62c09b8-fbbf-4923-accb-59c1f7596b5b · outbound

This paper cites Pathlens: A lightweight multimodal reasoner for in-depth pathology insights,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Pathlens: A lightweight multimodal reasoner for in-depth pathology insights,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.773084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.773084Z digest=sha256:424befb00fd764150e71eb4a78e3b390e2b3f667ba1d1e125c21c18aca31032a

Observation 65bb18ca-a5aa-44b0-91ce-83ac50cb7190 · outbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Slidechat: A large vision-language assistant for whole- slide pathology image understanding,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.811798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.811798Z digest=sha256:38644831467a2e15b38d029a249c933cf964d1779b24792c7957a1e24637dfaf

Observation 72c65daa-182d-4f5e-b4e0-d247f4e65c6d · outbound

This paper cites Wsi-llava: A multimodal large language model for whole slide image,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Wsi-llava: A multimodal large language model for whole slide image,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.865566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.865566Z digest=sha256:91306121cfece919481248db59a81bea6b5e279f72eace4271718f43719b72ba

Observation b991f856-d14e-403c-98b8-fd974b44459d · outbound

This paper cites Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.904924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.904924Z digest=sha256:f30d48187026a950dd1dce571efe4784ef7b218ae4ae9e8884b213a51a8e3e97

Observation 66516ef9-daed-4106-a691-c7aa32ddae1f · outbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Pathologist-level interpretable whole-slide cancer diagnosis with deep learning,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.945485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.945485Z digest=sha256:186659d15130dbd33b82eba2330b8ece6be1c81c14aae2032212f03bc3b11960

Observation 04b374cf-c525-4453-b269-6f5b2781f62b · outbound

This paper cites Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopathological images,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopathological images,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:44.995123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:44.995123Z digest=sha256:b51eafde51ba076ab49011561d7fca5a51378cae2ddf0e9d25c8c9989532d3c9

Observation 898a9a9f-40fa-48aa-ae4a-ee7fc556d196 · outbound

This paper cites Time-lapsed, large-volume, high-resolution intrav- ital imaging for tissue-wide analysis of single cell dynamics,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Time-lapsed, large-volume, high-resolution intrav- ital imaging for tissue-wide analysis of single cell dynamics,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.065490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.065490Z digest=sha256:0d3e65c115e6d492b8973f643b7a760cb07a333bc853269a77b20ee7f056ca9a

Observation 76bb41eb-279f-4c6c-b0fc-f8707679dbbf · outbound

This paper cites A stepwise approach to fine needle aspiration cytology of lymph nodes,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis A stepwise approach to fine needle aspiration cytology of lymph nodes,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.139933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.139933Z digest=sha256:3b41837e957fb5992e1eb6959b123facc0b930dd36073fca8fca7201a61b56cc

Observation 41b12278-34d2-4e3a-b82e-30b4186077d3 · outbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.205031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.205031Z digest=sha256:3a21ad08f8c9b768e9d1d9e58bdf830a7a48f1a073c82ec46dfa1322622dc3d1

Observation f1a0746c-24f5-4142-96e9-c866609a71bf · outbound

This paper cites Pathmmu: A massive multimodal expert- level benchmark for understanding and reasoning in pathology,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Pathmmu: A massive multimodal expert- level benchmark for understanding and reasoning in pathology,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.319892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.319892Z digest=sha256:d48e8676d5c8405c8c14f869b527e1addf72a79b2c4c7e0717312530ce185603

Observation e25042e0-a6b7-4f98-beea-18eb8a1fbfaa · outbound

This paper cites Pathbench: Advancing the bench- mark of large multimodal models for pathology image understanding at patch and whole slide level,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Pathbench: Advancing the bench- mark of large multimodal models for pathology image understanding at patch and whole slide level,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.416455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.416455Z digest=sha256:887e6160102228b7298775f956ae55cd20c125e36d505afb5803144904cdd6c0

Observation 658eda9e-180d-48fb-aa3d-37c6ad5a7761 · outbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Wsi-vqa: Interpreting whole slide images by generative visual question answering,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.476338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.476338Z digest=sha256:13a23b6968cbe17260f856f2ba4d941bcf9c001981383b48431ea40c9771f8be

Observation e3c179d2-b0ca-4199-9406-1edb26a6f507 · outbound

This paper cites Breaking the visual shortcuts in multimodal knowledge- based visual question answering,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Breaking the visual shortcuts in multimodal knowledge- based visual question answering,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.584517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.584517Z digest=sha256:d5ceb83d88ba14dbdc110132b6d35c40248eaa4101f23f122e9e130eea4cfac8

Observation f7a4733e-075f-43f6-a4bb-e20391b12951 · outbound

This paper cites A negative case analysis of visual grounding methods for VQA,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis A negative case analysis of visual grounding methods for VQA,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.640860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.640860Z digest=sha256:ce117aeb5fa6adde2d3453a8225e959c16d44c2126ff05457752aba5d2688065

Observation 34c0963c-a45b-4b84-80a1-50b098ec32ae · outbound

This paper cites Don’t just assume; look and answer: Overcoming priors for visual question answering,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Don’t just assume; look and answer: Overcoming priors for visual question answering,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.685957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.685957Z digest=sha256:8c35d3d05074011cb836b11a3f617aee1c82192a0cc7471f9bddffba234c13f6

Observation 643b5d9a-5726-47f2-8400-c634f557c221 · outbound

This paper cites Mirage: The illusion of visual understanding,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Mirage: The illusion of visual understanding,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.725450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.725450Z digest=sha256:7d1edfb4cf16534874dc595621c5b751958debdeb142f151dd68e8db746464dc

Observation b3793fa5-d2ce-4533-913e-1b6f1ac9c41b · outbound

This paper cites Enhancing Pathological VLMs with Cross-scale Reasoning.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Enhancing Pathological VLMs with Cross-scale Reasoning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.779292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.779292Z digest=sha256:c757cc2d4e6767411eeb6b81dfab3393bb3fbb3ff9393402f6d2270a53440824

Observation 51df303c-b54f-4c98-9607-f5ed69743461 · outbound

This paper cites Visual instruction tuning,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Visual instruction tuning,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.857944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.857944Z digest=sha256:c1f4151fd6f392ec05f00dcd59bcb5b9c78e1cc1f2bb35788a126b4a74187de7

Observation 3ae3f376-de8f-4b8a-92af-aee26eea5c2e · outbound

This paper cites Qwen2.5-VL Technical Report.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Qwen2.5-VL Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.937261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.937261Z digest=sha256:2a4a57c8e1dabedbe1af5a5f8a7607e939154889b4e341522aac9808ad86a320

Observation 8b95ccae-3e06-4833-a803-8bfc42a0d2cd · outbound

This paper cites Qwen3-VL Technical Report.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Qwen3-VL Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:45.989441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:45.989441Z digest=sha256:4d5d0c02b5c0407d24bf39d7e3044fd27a034245549efb724fe0451b7dc28ed7

Observation aa4cef6b-442a-4620-8e20-cc3bd0bc2cf8 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.093675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.093675Z digest=sha256:0a34cc445395e9e9312714ff5ac845573e3ef13531d8228eae2e0afdfe030b0d

Observation f0fc1003-4edd-4c8c-b635-4e2aea0a570f · outbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Llava-med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.194750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.194750Z digest=sha256:73e170e8bf3149bddd44a76d4d992c9a4c8de964471c4b5fc657bec58a2f45bb

Observation 18de4598-5879-4bad-8197-b86e765aaef9 · outbound

This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.290173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.290173Z digest=sha256:3ba784ae22949586028348b615e0bf6f90fbee92c9f23668b8aff72f78c2c9cf

Observation ad9fef86-1629-4411-bc13-560affc40db4 · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis HuatuoGPT, towards Taming Language Model to Be a Doctor

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.366825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.366825Z digest=sha256:1b4e2fd451e9ff9a30cfe9d17465440d55f81e7c1651e386d212c0bbb6d789d9

Observation 5a120dbb-c0f5-4499-a6c5-d945f3d8c9c0 · outbound

This paper cites Pathasst: A generative foundation ai assistant towards artificial general intelligence of pathology,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Pathasst: A generative foundation ai assistant towards artificial general intelligence of pathology,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.429317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.429317Z digest=sha256:7a882ee3d841aefefd516a0d165f56d227091c4d6adf6fed7f0804781a3aa146

Observation a11c3056-4774-468b-bdcf-14c32421a434 · outbound

This paper cites Tcgabiolinks: an r/bioconductor package for integrative analysis of tcga data,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Tcgabiolinks: an r/bioconductor package for integrative analysis of tcga data,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.449974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.449974Z digest=sha256:961190ea2d357a6310046d0e26c16d5975cb011343a757134094415c97b8f581

Observation 851fac01-f0d6-40b2-a64b-7c6f3a0d4311 · outbound

This paper cites OpenAI GPT-5 System Card.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis OpenAI GPT-5 System Card

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.541466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.541466Z digest=sha256:daa5cb360fadad00cc91917f7b9a4b7bd381473f0d6fba7fc89cc98e4c52e123

Observation f92e19af-a499-46a0-a142-1bf274ab3db7 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Gemini: A Family of Highly Capable Multimodal Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.647309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.647309Z digest=sha256:c9d02f945ea7fbb277ca947b15c91c81851a4db11daed91fe7391b3bff12ae8d

Observation bd052d8c-2856-49d8-9fdb-f476e25972be · outbound

This paper cites Qwen3-max: Just scale it,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Qwen3-max: Just scale it,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.744752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.744752Z digest=sha256:f5e293fa61949d5832d80a95c7ba2aada131b0e77d0a0e904d75958a17439872

Observation 36d32ae2-2382-4276-b005-c1bf07e92a36 · outbound

This paper cites LIMO: Less is More for Reasoning.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis LIMO: Less is More for Reasoning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.824759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.824759Z digest=sha256:a9edde0aaa61a69cb2eb1903c629d6cdc32b01f342c641db67b45a9ec1f3095f

Observation 24c3a196-d1e5-49c5-a41d-af4c945b019d · outbound

This paper cites Lima: Less is more for alignment,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Lima: Less is more for alignment,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.924748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.924748Z digest=sha256:4f399bf6ce28d41c6d81f7f631bfe5246e6cde5d693dbc5adc7b06374d0bc3ca

Observation 085e5997-73c8-4dbc-8d97-7d97997397d2 · outbound

This paper cites Qwen3.5: Towards native multimodal agents,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Qwen3.5: Towards native multimodal agents,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:46.994730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:46.994730Z digest=sha256:1356c6f0ac4d1a3d50d5f7f9c62fc95ba36c7827768d72c84c1589822a441e9e

Observation aed23b5c-e745-415a-b6b3-938495a5684a · outbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.126184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.126184Z digest=sha256:bc70825d73fa2cc0326612d4b6ae9cb7091d44fb9afb005258abd886842983f1

Observation 38a6600d-e2b8-4c86-bd0e-470aeb0b9fee · outbound

This paper cites MiMo-VL Technical Report.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis MiMo-VL Technical Report

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.193300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.193300Z digest=sha256:45c95471ec61d7bf4f5d29fa22e9b689adc9ae0be081c425f6293c71d577cdd2

Observation 68353b25-51cd-4232-8db9-8f3c19d66c22 · outbound

This paper cites Qoq-med: Building multimodal clinical foundation models with domain-aware grpo training,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Qoq-med: Building multimodal clinical foundation models with domain-aware grpo training,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.254915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.254915Z digest=sha256:3ba08dab8061d30854338729c50ef40471a328f77bc5dacb26eec5654d7b5d77

Observation 1d7a5cf1-6da0-4ce0-a2e8-4b284ea049bb · outbound

This paper cites Medvlthinker: Simple baselines for multimodal med- ical reasoning,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Medvlthinker: Simple baselines for multimodal med- ical reasoning,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.329711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.329711Z digest=sha256:1c0db28cf78ce3990d5c380d8fc16b20ef53f37ff1bde979c32a94f8597ba744

Observation ab068233-2047-4b50-8e07-15606eb1e655 · outbound

This paper cites Octomed: Data recipes for state-of-the-art multi- modal medical reasoning,.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Octomed: Data recipes for state-of-the-art multi- modal medical reasoning,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.379656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.379656Z digest=sha256:d5e047a4b3d0df8cdd2f6d12f050077c8322238dd611b3bfdbc827807b475f68

Observation 3ea17f7d-1c56-4131-bc2a-5e0ee45de35a · outbound

This paper cites HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.450859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.450859Z digest=sha256:229e4a3c588c7e17b174d3b72aad30567314965255c4cf2b0c2f1aad108df5c2

Observation f88243c9-666b-47f3-a5da-7aef515dee10 · outbound

This paper cites Available: https://qwen.ai/blog?id=qwen3.5.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Available: https://qwen.ai/blog?id=qwen3.5

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-07-30T12:15:47.062863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:15:47.062863Z digest=sha256:e9959bb7afccd9b095397958240e27c7a5cfce24d6e8c7c21bc901f454d0e384

Pith citing papers

No inbound Pith citation observations are available.