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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 10 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 2026-08-09T06:31:02.800959+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=sha256:6df515836e0b1cead42d1c40672fa0ebc6d98068f807c4cdac4eb8cea6e35aa4

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=sha256:325a0f29281463c49aa9e9ffeb2f9903e453483bf758714b01f81fa0dc7d10f1

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:fc8c008ddb9ce55f40ce51a1aa692c6b8abcc879a5f5792c63fb569220cf7658

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=sha256:60ce66c5da60a913c137bbc6d472422bb11d1dfdb7883477e63d64600b4bc01a

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=sha256:78fb84944dcbd7638af598b021f91f8e7fafe98914eb712e5437ccefc681d6cf

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=sha256:19e693d24bafc61b7852ec9acff5b5a10f63575cd140f216e50fbf16560874ae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:08:48.572912Z digest=sha256:d206115754259dd7c02d259e06206b6e1d86cad9f51e39c3379db9d7c962f121