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Paper Citation Record · LEDGER

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.09818.

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

pith.paper-citation-record.v1
2608.09818 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:19:11.195163Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved10
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cf02fee-f17a-4bd3-90b7-0b5fbbe84aaf · outbound

This paper cites uid":".

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation uid":"

Reference 2

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T10:19:11.187271Z digest=sha256:6b5cc723e1373824308789de83d81a2e1abbb5b2b2cbd6c4becbf10758f52e70

Observation 35ea8fed-62e3-40f1-b417-d2ac75463d61 · outbound

This paper cites MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.158435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.158435Z digest=sha256:4ca38ce01e49ca6cd1dc8824504e51ec7d151dc872425bda581def9c6fc57ae4

Observation 22de7ee5-b184-4d60-98cb-e65c2f05382c · outbound

This paper cites FreedomIntelligence.2025.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation FreedomIntelligence.2025

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.155054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.155054Z digest=sha256:98d3516d88bc546dcbdd4046dc87237174f4afea96852510d0da3b8ada13afce

Observation c2aec99d-aeeb-4578-a628-46a8b4f875c3 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.168984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1525b8d6-f115-49a7-a827-500730d673d5 · outbound

This paper cites Ravi, N.; Gabeur, V.; Hu, Y.-T.; Hu, R.; Ryali, C.; Ma, T.; Khedr,H.;Rädle,R.;Rolland,C.;Gustafson,L.;etal.2025.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation Ravi, N.; Gabeur, V.; Hu, Y.-T.; Hu, R.; Ryali, C.; Ma, T.; Khedr,H.;Rädle,R.;Rolland,C.;Gustafson,L.;etal.2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:19:11.522865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T10:19:11.172597Z digest=sha256:f4967436e57b4b76d1b7de70a2a7f157ef1a10170b41d6e908749b4a13781a7f

Observation 62fb1356-6708-4205-8eff-f5946ba1203c · outbound

This paper cites MedGemma Technical Report.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation MedGemma Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.175405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.175405Z digest=sha256:7f118db2e9cbe4999fb343fefe64384aa4119f336520d07b79c28ad65b15fa11

Observation 692ac1df-6975-4af9-9015-58f947838de9 · outbound

This paper cites LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.179065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.179065Z digest=sha256:99fc0bdb5cfa1bf88ad03011302ab3594509742ac1def0b1e6b94d1320490400

Observation 511ab15a-0f9d-497d-ba97-6d079799928e · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.182810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.182810Z digest=sha256:abf6a836c98fd93c4aeffe6d2eb7d4febcacaf49291fe315e0a4b4cac5a22ded

Observation 1ee7130d-2e12-4f5f-8e61-ab95b4d8e775 · outbound

This paper cites In contrast, strongly con- tracted boxes may remove essential target regions and pro- vide insufficient spatial evidence.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation In contrast, strongly con- tracted boxes may remove essential target regions and pro- vide insufficient spatial evidence

Reference 14

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T10:19:11.300606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T10:19:11.191744Z digest=sha256:b24be1609467bf6d7b3fa51abd66a81da3c4191098af99c48a355534de5f14d6

Observation d7f045de-7cf9-496a-b2b7-d1ae536755e0 · outbound

This paper cites an unresolved cited work.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:19:11.512134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T10:19:11.195163Z digest=sha256:9bccd12bf6cb2b2947e00d2cb441f94517c14c5211b8aabb859d3e5b5af60368

Observation e7e76d51-4248-4e1c-8a1c-944734288c5a · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation MAIRA-2: Grounded Radiology Report Generation

Reference 2005

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.146799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.146799Z digest=sha256:4cc087baf859a197a627fdea8b7d1b3d9385e1e2045a1b0fa60301b73be5fa68

Observation d38e6360-ce17-4be5-982e-1a138fa2d027 · outbound

This paper cites In2021IEEE 18thinternationalsymposiumonbiomedicalimaging(ISBI), 1650–1654.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation In2021IEEE 18thinternationalsymposiumonbiomedicalimaging(ISBI), 1650–1654

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:19:11.532692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T10:19:11.165885Z digest=sha256:df2092791364f6ebf5a3b44cb2664ca401f25e32997250f85b9bdb6434bb307d

Observation 130ea24c-f429-445b-915e-e216e53f498a · outbound

This paper cites SAM-Med2D.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation SAM-Med2D

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.151018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.151018Z digest=sha256:15491302e0fd5a532a65b6991571dd98e2a3abb5cda3119ce4f3228b7b5b2a63

Observation a67b9646-52f2-4f4a-bf20-6d05bf277ad4 · outbound

This paper cites InFindingsofthe Association for Computational Linguistics: EMNLP 2024, 8745–8760.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation InFindingsofthe Association for Computational Linguistics: EMNLP 2024, 8745–8760

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:19:11.542874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T10:19:11.162348Z digest=sha256:c58696c4ecc78b7a72c77ab65081d3e2ec40794b1e5768be41ee4cf1b023f8bc

Observation 3d89c7b8-5575-4102-b263-4cae932b59c6 · outbound

This paper cites Qwen2.5-VL Technical Report.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation Qwen2.5-VL Technical Report

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:11.143105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:11.143105Z digest=sha256:f6068ebe68581f3ebd24001dafecc7027f8cc48a80e074be8c4243e1dd50edf0

Pith citing papers

No inbound Pith citation observations are available.