Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:19:11.195163Z
Paper Citation Record · LEDGER
MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation
As of 22 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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
- raw_fallback, observed 2026-08-11T10:19:11.373070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
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.
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.
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.
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 2026-08-22T06:32:14.747728+00:00.
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.
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.
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.
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 2026-08-22T06:32:14.747728+00:00.
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 2026-08-22T06:32:14.747728+00:00.
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.
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 2026-08-22T06:32:14.747728+00:00.
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.
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 2026-08-22T06:32:14.747728+00:00.
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.
Pith citing papers
No inbound Pith citation observations are available.