Paper Citation Record · LEDGER

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.12971.

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

pith.paper-citation-record.v1
2405.12971 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:53.428518Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T06:45:29.672987Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ced88d4c-b728-452e-9fa4-a9ab5667d0d4 · inbound

Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research cites this paper.

Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:53.428518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753dd348-577b-422b-8fc2-56070624a19d · inbound

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications cites this paper.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:11.959823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25148531-6a2e-4b95-9d6f-001e50c437a5 · inbound

LesiOnTime -- Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI cites this paper.

LesiOnTime -- Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T10:09:10.770073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07474b2c-52eb-4827-978f-debc1bec4a2c · inbound

UNICON: UNIfied CONtinual Learning for Medical Foundational Models cites this paper.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:45.889525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3e0cac-64b1-4843-a65b-647b17acca47 · inbound

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation cites this paper.

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 47

Resolution: malformed identifier; arxiv_id, observed 2026-05-16T17:33:10.095867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8efee37-2a1a-4acc-95f3-294a0501bf4a · inbound

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing cites this paper.

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:26:02.084168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88dd80ae-f57e-4e54-ba39-e36d972c4afc · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:45:29.675265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c16012a9-e86d-4a27-bd15-a65faa4f6d54 · inbound

ReportMedSAM: Guiding Segmentation Through Radiology Reports cites this paper.

ReportMedSAM: Guiding Segmentation Through Radiology Reports BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:18.898023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e017a52-6689-4612-81b0-c51aa8679a0c · inbound

Open-Ended CT Volume Segmentation with Weak Supervision from Language cites this paper.

Open-Ended CT Volume Segmentation with Weak Supervision from Language BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:30.786305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e96467-f585-4da2-adf8-dfb837e6c3ce · inbound

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation cites this paper.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.290699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.