Paper Citation Record · LEDGER

Towards Universal Text-driven CT Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.06030.

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

pith.paper-citation-record.v1
2503.06030 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:33.439509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:56:44.594503Z

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 e850c458-9177-4034-a97e-07f797fe242b · inbound

Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy cites this paper.

Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy Towards Universal Text-driven CT Image Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:33.439509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c8ebd0-51b0-4088-93c0-505c6e35117d · inbound

MedSeg-R: Medical Image Segmentation with Clinical Reasoning cites this paper.

MedSeg-R: Medical Image Segmentation with Clinical Reasoning Towards Universal Text-driven CT Image Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:09.763882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d3a096-5b5f-465c-b573-9ce7c638ab7b · inbound

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography cites this paper.

Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Towards Universal Text-driven CT Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T12:29:50.275365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e0ff75b-26c1-4fdc-b6b0-0de6f564c432 · inbound

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation cites this paper.

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation Towards Universal Text-driven CT Image Segmentation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:56:44.596159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04456b5f-a728-408d-bec1-87b22581f82a · inbound

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation cites this paper.

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation Towards Universal Text-driven CT Image Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T12:27:07.675894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c74029-0128-4e7c-9637-8823679c1960 · inbound

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy cites this paper.

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy Towards Universal Text-driven CT Image Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T05:10:19.996629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.