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Paper Citation Record · LEDGER

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.16629.

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

pith.paper-citation-record.v1
2411.16629 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:58:02.589304Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

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  • verified fuzzy12
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0689c600-e300-4da6-910e-10d613fa7198 · outbound

This paper cites Design and construction of a realistic digi- tal brain phantom.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Design and construction of a realistic digi- tal brain phantom

Reference 1

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Source-reported events for the cited work

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Observation 2091a1d4-cc69-418d-904c-2e942cb59f92 · outbound

This paper cites Data acquisition in pet imaging.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Data acquisition in pet imaging

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 519f47ea-7552-4257-9265-af216e7a5891 · outbound

This paper cites Generative adversarial networks.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Generative adversarial networks

Reference 3

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Source-reported events for the cited work

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Observation 7446ee6d-049e-4380-b32b-0dc033847cda · outbound

This paper cites Deeppet: A deep encoder–decoder network for directly solving the pet image reconstruction in- verse problem.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Deeppet: A deep encoder–decoder network for directly solving the pet image reconstruction in- verse problem

Reference 4

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Source-reported events for the cited work

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Observation 3f94859d-8e88-4c4b-9cfd-cdf8d069d2cf · outbound

This paper cites Contrastive diffusion model with auxiliary guidance for coarse-to-fine pet reconstruction.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Contrastive diffusion model with auxiliary guidance for coarse-to-fine pet reconstruction

Reference 5

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Observation 232cce57-4196-402f-9fad-5d8850989ffd · outbound

This paper cites Deep residual learning for image recognition.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Deep residual learning for image recognition

Reference 6

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Observation e2ab9b7e-32d9-4d24-b652-f0eadd5d0b68 · outbound

This paper cites Denoising dif- fusion probabilistic models.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Denoising dif- fusion probabilistic models

Reference 7

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Observation ca441346-9e3e-4c79-a44b-cff30c51a8d2 · outbound

This paper cites Classifier-Free Diffusion Guidance.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Classifier-Free Diffusion Guidance

Reference 8

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Observation dc24caf2-28a9-4a67-b730-d13b1e33169b · outbound

This paper cites Image quality metrics: Psnr vs.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Image quality metrics: Psnr vs

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d326d93f-5051-40f1-8ced-0efb33c680a9 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Image-to-image translation with conditional adver- sarial networks

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7fdc78a8-4a87-4ac7-95bb-f24293311fed · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1ff30bc1-ea5c-416e-b6b9-11957b86b26f · outbound

This paper cites Conditional Generative Adversarial Nets.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Conditional Generative Adversarial Nets

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08d4f260-37e1-4d70-9cd9-a4a99c19f1eb · outbound

This paper cites The appli- cations of discrete wavelet transform in image processing: A review.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction The appli- cations of discrete wavelet transform in image processing: A review

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation be6c4994-e0a0-4918-9155-71cf2505786b · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Pytorch: An im- perative style, high-performance deep learning library

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T12:58:02.808592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 29e6b6af-1ff1-4661-9798-7cb713dc1220 · outbound

This paper cites Multiscale structure guided diffusion for image deblurring.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Multiscale structure guided diffusion for image deblurring

Reference 15

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raw_fallback, observed 2026-08-12T12:58:02.789414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8f01fbdb-c9e0-4351-97cc-aee2a1abe66f · outbound

This paper cites Palette: Image-to-image diffusion models.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Palette: Image-to-image diffusion models

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c1b416e-67d2-494d-90c7-be8d19d56640 · outbound

This paper cites Improved techniques for training gans.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Improved techniques for training gans

Reference 17

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Observation 2b79e025-d5c5-4436-8aed-3db7a2c7e49a · outbound

This paper cites Diffpet: A fine tuned sinogram-to-pet conditional diffusion model.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Diffpet: A fine tuned sinogram-to-pet conditional diffusion model

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 33383c0e-48d3-4836-8c82-6114d834f605 · outbound

This paper cites Improving train- ing efficiency of diffusion models via multi-stage framework and tailored multi-decoder architecture.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Improving train- ing efficiency of diffusion models via multi-stage framework and tailored multi-decoder architecture

Reference 19

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raw_fallback, observed 2026-08-12T12:58:02.717023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 22ba98eb-3151-4eeb-90b5-09c4f12db744 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction Adding conditional control to text-to-image diffusion models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.