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Paper Citation Record · LEDGER

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2501.14548.

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

pith.paper-citation-record.v1
2501.14548 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:42.233059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:19:20.417944Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 f5e7c996-2686-426b-b8e1-16a5468dd680 · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 253

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:42.233059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:42.233059Z digest=sha256:1187d5d05207939e5fa5b6e7dd706be2a3d6ab5c2fe660a2fdd2c02e089c88d0

Observation bc6302d9-0c2a-4277-b838-7d70c70b7ce1 · inbound

Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance cites this paper.

Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:00.617215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:54:23.195530Z digest=sha256:1c2da0e7f117472150edc339d7924ab76a7460694df55e221051f2aeac00a017

Observation d0e81d45-871e-43c5-b197-30e477608eef · inbound

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models cites this paper.

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:27.117492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:31:41.805037Z digest=sha256:863bc419801db21a2ca8f0d6334a4b5509016bca10375630ea73881185d2648b

Observation af832a55-4b87-478e-a063-386a25687370 · inbound

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models cites this paper.

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:25:45.166718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T23:19:20.522732Z digest=sha256:9204d785e694ac51c579f2d6daffba60c7ed86021f9eee1fedcde7576337c75c

Observation 3b521290-34cd-4435-9335-a7cd9020e9c2 · inbound

CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding cites this paper.

CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:57:52.855375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:57:47.615619Z digest=sha256:adb0dad0cbe97be9ed08a5dc1a3b6640b132f568419381c16bb35afd76fc4723

Observation 3e7a6b9f-59fc-408e-87bb-4a9691b3d041 · inbound

CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding cites this paper.

CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:19:20.420252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-04T01:10:31.958276Z digest=sha256:1236afeaa198a92d13e2ef318c9e7ef2d7dc47fed701662a192a6a27acce54c4

Observation 9ef13478-f852-4e59-94a4-5d2ef4c9d33c · inbound

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift cites this paper.

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:27:52.373870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:23:55.830252Z digest=sha256:1430b9c42d4a0b649620e3e8445281a465f0d4466ce5c03c97596792dee1a517

Observation 809b6bff-861c-487c-93ab-05bbd78d58aa · inbound

ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification cites this paper.

ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:06:47.830680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T06:26:15.397248Z digest=sha256:498eaaf621d30896fdf64c1031e6ac4f44811fcd65ed0a04d2bf92ba3c223eac

Observation 16319e6e-b9c7-450d-b4b8-3e48050e5512 · 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 Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 21

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:10:19.996629Z digest=sha256:9780b67b88043137bd2ea211c10edd8cd3c29f55db2d619196052fba2a23675b

Observation 141cf901-4d55-46e5-bdc3-66b2b7347bef · inbound

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? cites this paper.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T23:01:57.741734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:01:57.741734Z digest=sha256:61dc79c890549293de9cbed7c6d02851b5e80ed4e2867e0d6186eb6fb930c49b

Observation 657a2b51-8d48-4a43-b905-abf6733f8c76 · inbound

Cheap Probes Predict Expensive Training in 3D-CT Vision--Language Models cites this paper.

Cheap Probes Predict Expensive Training in 3D-CT Vision--Language Models Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T06:15:35.482764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:15:35.482764Z digest=sha256:8e6e5a592511a32525bf67c7fac29442908a5681ac53ab055e944fbbdc4ddcf8

Observation 8b2c145a-554f-4525-8523-dd5736b66dcf · inbound

Anatomy Contextualized Adaption of CT Foundation Models cites this paper.

Anatomy Contextualized Adaption of CT Foundation Models Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-30T10:52:13.606889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:52:13.606889Z digest=sha256:42b5d9c7120d65eb2d1bd429588087b4680ef21d0aa53a1ae511d720ee462fe2

Observation c87169aa-5223-4b3f-bb35-10f3fee112bc · inbound

ORCA: ORgan-Centroid Aggregation for Training-Free 3D CT Visual Token Compression cites this paper.

ORCA: ORgan-Centroid Aggregation for Training-Free 3D CT Visual Token Compression Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T00:46:06.232717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:46:06.232717Z digest=sha256:dd3fe7f1fed31ac973243e30628a932cf0e8bb441854bb1754cc156599251557