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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 8 August 2026, this Paper Citation Record lists 0 of 0 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 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

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 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=sha256:2294a37fe2ff4e9853c5a9b5ac64eb23a93a80ab7fc196263f4705bfaf7b0651

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=sha256:6d89a225f2dfbc900841682452d0856b4fd5f2a7541363d5826dfbe8a2715fad

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=sha256:0163f59c7f199aaeac7ecab04550bcf292daa08095257b55f46779692a1dbb44

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=sha256:8af88504ae062069297d7573408031a298fac0cf6d73d0038fd6a95c6824b75a

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=sha256:610622ba2b6763b11207e06a2855385282a62450f064c4bff7685e3d2daa6b90

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=sha256:44c87edd7375459f6e8f4b61360e5a5618ac3b60ec34d18e9e77645f4c77dd93

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:08:48.572912Z digest=sha256:91d42fcc76c7a2a9010d6f6c706e42430f166742f3d5bde2de09acfde8f918f6