Paper Citation Record · LEDGER

Large-Vocabulary Segmentation for Medical Images with Text Prompts

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2312.17183.

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

pith.paper-citation-record.v1
2312.17183 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:54.944280Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:43.228743Z

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 19aaa450-f0dd-4521-9c0e-21c8996146c0 · inbound

Large Language Model with Region-guided Referring and Grounding for CT Report Generation cites this paper.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:55.978917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a522c4b-0cfd-4301-9bab-0dd53299c456 · inbound

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities cites this paper.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T22:28:07.878463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5573010a-156f-4553-971a-c2cf5c84bbd7 · inbound

MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day cites this paper.

MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:16:48.623929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16680c70-f2ba-4d76-9d14-2bb763fb170b · inbound

How Well Can Modern LLMs Act as Agent Cores in Radiology Environments? cites this paper.

How Well Can Modern LLMs Act as Agent Cores in Radiology Environments? Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T17:03:39.954743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5dc2c7e-9d55-4579-bbc2-12a95b1a7ae6 · inbound

Efficient MedSAMs: Segment Anything in Medical Images on Laptop cites this paper.

Efficient MedSAMs: Segment Anything in Medical Images on Laptop Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:38.835680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05579484-13ad-42af-8823-0a5065ff8990 · inbound

Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation cites this paper.

Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T01:03:29.484253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d94f0f9-2d8f-447b-9a75-9cbd1307fad2 · inbound

Multimodal Large Language Models for Medicine: A Comprehensive Survey cites this paper.

Multimodal Large Language Models for Medicine: A Comprehensive Survey Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 257

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:54.944280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4825b19a-5a20-4060-8038-7fce355164f0 · inbound

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models cites this paper.

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T00:48:19.660354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae023b97-142b-4509-98fa-255f7a86d999 · inbound

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review cites this paper.

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T18:52:30.344960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b2af48-e9de-44c7-bdb7-a9070c5a2ad8 · inbound

Segment Anything in Pathology Images with Natural Language cites this paper.

Segment Anything in Pathology Images with Natural Language Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.669212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a962b58-3f13-4004-8834-8903a7333ff6 · inbound

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation cites this paper.

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:48.766738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ada601-be06-4dc0-b224-7a1b90fd8ecd · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:25.203267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 156d6198-573e-4c10-b774-b866f376319a · inbound

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation cites this paper.

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T23:01:41.380237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50018c15-5f03-46d9-9089-10f9bc019148 · inbound

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation cites this paper.

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:43.316114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af57be28-0936-4e24-9ced-a2420cdc139c · inbound

Exploring Prompt Alignment with Clinical Factors in Zero-Shot Segmentation VLMs for NSCLC Tumor Segmentation cites this paper.

Exploring Prompt Alignment with Clinical Factors in Zero-Shot Segmentation VLMs for NSCLC Tumor Segmentation Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:07.131399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b60351d0-524f-4634-a1fd-30cc5a2af6d3 · inbound

Deep Reprogramming Distillation for Medical Foundation Models cites this paper.

Deep Reprogramming Distillation for Medical Foundation Models Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:39.066418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.