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Paper Citation Record · LEDGER

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

As of 18 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 7 inbound Pith citation observations for arXiv:2505.12203.

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

pith.paper-citation-record.v1
2505.12203 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:10.299283Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:13.279283Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:08:53.495550Z

Reference resolution

9 of 9 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d346e5b4-5cb5-4e20-8b50-0400fe6c4e81 · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:10.228172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.228172Z digest=sha256:69e1c5f9ef855c53c468d25b781f02b23f33ae1e89ae92ee406aae06607e1f6d

Observation 138bafc6-23f5-4e2b-8bfd-ec3fb0994862 · outbound

This paper cites Brenner, E.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Brenner, E

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:10.236310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.236310Z digest=sha256:17153717c2e7b9f7225db2bf41c8e2cb831fe1316e1ec8c01bc7138a4bb2920c

Observation 078945cc-8e34-4cb6-b356-3bddb427c05c · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-15T20:42:10.430650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:42:10.244665Z digest=sha256:4df3a9a59fcf40d3f4f0b0477d8ef1db34c89d56f5a9cf51ba4e96b5e7ff175d

Observation a11df3fe-4714-40fa-87c9-6d2ff71a0dec · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:10.253076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.253076Z digest=sha256:7b75a753cd4477c77fbb95a2e13be8ed76ba32c9924b655efeb673b47c0129b5

Observation dd5362e7-840e-4cda-8cf7-9fbae6b9d7b4 · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:10.263104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.263104Z digest=sha256:4ee587336924ab1bcbd906b4aaab9e47d4f31b5ba1298ebe975a82892e246d75

Observation 9a1ac23c-cebc-4214-8960-2c6609b3263b · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:42:10.710222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:42:10.268825Z digest=sha256:2d4c05034a80d7a3ca28ee01987a26950865a18b5f58c0666ab703e7953bf66a

Observation 75fa8fb4-7213-4a91-a074-ee26f330bc0d · outbound

This paper cites Attention Is All You Need.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Attention Is All You Need

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:10.276240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.276240Z digest=sha256:ec2e3bdf7ef05c8d280773c8ee1b5c04d09adb5dc10727fd89efda4e17321eab

Observation 9026b7c5-b778-4fc5-bb33-7b992c5c8b6f · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:10.288625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.288625Z digest=sha256:5d4c79acc2dc9a9f9075a049f25cd6ff448222bb962d2c4302f4cd19f88ae5c2

Observation 32339f6f-4493-4b5f-87c7-69660d76b6f7 · outbound

This paper cites an unresolved cited work.

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction Unresolved cited work

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:42:10.299283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:10.299283Z digest=sha256:94344dd985fa7bd0ccaa0d7299d3cb184ff270a9c228fb08d3560994d08060e7

Pith citing papers

Observation 31b927da-688b-46d2-aba4-cc733c24c765 · inbound

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion cites this paper.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:13.279283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:13.279283Z digest=sha256:cc798a02f7379bae6d8a22777c794595fd76b8f305ab321cf97b951fb0d3202a

Observation bcc2f122-a76a-4a02-b708-41d35639ac03 · inbound

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks cites this paper.

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:16:52.894112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:16:52.894112Z digest=sha256:1e1d3e67f253933ce8167e1873a31e0af37615288b8e9a7ac598d2d641d7f870

Observation a0c3d54d-2321-46c5-b06e-55bbcdccc25f · inbound

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems cites this paper.

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:13:30.495260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:13:30.495260Z digest=sha256:ba41163d90c8019e7027702bcc406832a30aba0bc5ebbc96d1f3ccd627d0123c

Observation 9a0541a0-43ff-434a-8da1-a8c4c5a54a74 · inbound

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems cites this paper.

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:55.275692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.275692Z digest=sha256:3deffc9d705fb8d40b66d7174543fc52e9fd0b1805a24acb6eae25efb749a514

Observation 8f9438a3-e977-477a-9c82-ce34b7c1cefc · inbound

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems cites this paper.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:17.612630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:17.612630Z digest=sha256:351063e33ef6db85dda16a0997fe554e48b69297e831904dbe899d822bb9994c

Observation 36c57e93-d452-44b0-9cfd-74e21db6554e · inbound

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP cites this paper.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:25.025761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:25.025761Z digest=sha256:55e330e04c73a49a449dde4cf251d205169f8d12dc090e631b0dfd3770f2a7f6

Observation 583b6e11-7f85-4e32-a1d1-ee26192543e2 · inbound

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs cites this paper.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:08:53.568098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T15:08:48.572912Z digest=sha256:d342141e223d626a3c7b8762fca5ee8741d369faa75c29fde60318c045e6f83c