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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:15:11.959823Z

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 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.

source=pdf_text observed=2026-08-06T20:15:11.959823Z digest=sha256:be832b77d4ddc3857f6c90e8d04e4d77fad179be708e1869cb25bafc8fc3a7ff

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.

source=arxiv_source observed=2026-08-06T10:09:10.770073Z digest=sha256:a6aea37519630aab98c820a4959d77ae0b2fce5eebaff4dd5e0d8312d1efac0d

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.

source=pdf_text observed=2026-08-05T18:48:45.889525Z digest=sha256:08707b3376e4f30f3674d14e7b0b0f3a377780d471dc5fc0814fdf1d33d00909

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T17:31:33.903063Z digest=sha256:bdf11c9f66b85c0da369dad8a707373d87c491688eedad12ab323a970c61d887

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:06.372343Z digest=sha256:0f3f3004d6cfdc01b0851e531d17af44676f6ad89a3e0dd93135f165704cb54c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:38:06.306930Z digest=sha256:08a30ce53184e4a8acf2fb1f402516f76fa98954c187479430c490e6954f1ef8

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.

source=pdf_text observed=2026-08-02T14:39:18.898023Z digest=sha256:ac5750a5556f321fb9a05bb1616f6b550ea8d80c00c4d74b691acd85b330ed9c

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.

source=arxiv_source observed=2026-08-01T01:20:30.786305Z digest=sha256:deefb2a6297f33cd2322c4c6830fa8bee428b6b2590c5088b367ee2fab1ff269

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.

source=pdf_text observed=2026-08-03T11:49:56.290699Z digest=sha256:99547396f4c2e7b77c9c1c0a1ba215204782f408f4946b26807f501ad8c0baf9