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Paper Citation Record · LEDGER

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.17109.

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

pith.paper-citation-record.v1
2412.17109 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:50:43.697283Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

34 of 34 outbound references displayed

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  • verified fuzzy27
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2b3f674-abbe-4039-b99b-6c2e1cf25ccf · outbound

This paper cites Random forests.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Random forests

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 30fa1792-29d2-4b31-8817-477465d284b2 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Diffusion pos- terior sampling for general noisy inverse problems

Reference 2

Resolution
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Observation 787a3de2-ab0f-40c9-a0f3-6fa469c1a07e · outbound

This paper cites Cover and Peter E.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Cover and Peter E

Reference 3

Resolution
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Observation 49d1d06e-48b5-4a67-8551-35e82cc5ae05 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Diffusion models beat gans on image synthesis

Reference 4

Resolution
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Observation 86a2dbd4-0137-4b11-a114-b65831937ad1 · outbound

This paper cites Dreamsim: Learning new dimensions of human visual simi- larity using synthetic data.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Dreamsim: Learning new dimensions of human visual simi- larity using synthetic data

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 9d7abfb8-4de4-4df1-84a2-d9ac85134ee0 · outbound

This paper cites Generative adversarial nets.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Generative adversarial nets

Reference 6

Resolution
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Observation 82db0960-977b-429f-a75d-d82aa39d4d58 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 7

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Source-reported events for the cited work

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Observation 14d4202f-766c-441d-b4b5-7aa06412a174 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Denoising dif- fusion probabilistic models

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 803f7acb-d81d-4565-920f-56a1e5c0b1eb · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Elucidating the design space of diffusion-based generative models

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 75d8a805-a3f6-4780-80ef-61e4b4a75395 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Analyzing and improving the training dynamics of diffusion models

Reference 10

Resolution
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Observation 7f28d6fe-3813-4b25-9da6-5da01439fb7e · outbound

This paper cites Denoising diffusion restoration models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Denoising diffusion restoration models

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 1b8b9937-8315-414f-9f7f-d6b6c9753090 · outbound

This paper cites Auto-encoding varia- tional bayes, 2022.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Auto-encoding varia- tional bayes, 2022

Reference 12

Resolution
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Source-reported events for the cited work

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Observation ea6cb461-dcd8-497d-a731-7bafec6f41f9 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 074ceaf3-d9f4-433a-9549-7fe4657e03a0 · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Srdiff: Single image super-resolution with diffusion probabilistic models

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 178064fa-1f43-46ed-8fe7-6c61c12b548a · outbound

This paper cites Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, and Vidhya Naval- pakkam.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, and Vidhya Naval- pakkam

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7febb9b1-6b94-4da9-b003-fed0ddc09836 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Microsoft COCO: Common Objects in Context

Reference 16

Resolution
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Source-reported events for the cited work

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Observation d5977c98-a12d-497e-a3bc-08df2c7bd84b · outbound

This paper cites Repaint: Inpaint- ing using denoising diffusion probabilistic models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Repaint: Inpaint- ing using denoising diffusion probabilistic models

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e1bb6f9b-1959-4200-ad86-0cf6a2385364 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 84963094-debb-4c40-b930-3d0cfdfc303c · outbound

This paper cites Learning transferable visual models from natural language supervision.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Learning transferable visual models from natural language supervision

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 66a1208f-e6b0-44f4-999a-636c1a76d25c · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images High-resolution image synthesis with latent diffusion models

Reference 20

Resolution
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Source-reported events for the cited work

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Observation dd853c0c-bf5e-4fd9-a8ed-f1c411a6a52a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images U-net: Convolutional networks for biomedical image segmentation

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation f1142521-9e41-41bd-8854-ad8741f00f02 · outbound

This paper cites Denois- ing diffusion implicit models.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Denois- ing diffusion implicit models

Reference 22

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5bc22d9b-af00-4c95-831c-4588f292ee6f · outbound

This paper cites Stankovi ´c and Bogdan J.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Stankovi ´c and Bogdan J

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 59021823-4d1d-4d34-8cc7-09cdf108c5ae · outbound

This paper cites Human Preference Score: Better Aligning Text-to-Image Models with Human Preference.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Human Preference Score: Better Aligning Text-to-Image Models with Human Preference

Reference 24

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b84030c7-e227-48e3-9ffd-aba9ef0fde57 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ee635a39-c097-40a7-8b8d-cb103fa81432 · outbound

This paper cites Perceptual artifacts localization for image synthesis tasks.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Perceptual artifacts localization for image synthesis tasks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:50:43.877336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2897ecb7-e5fc-4230-b7ff-4656db8d7e77 · outbound

This paper cites ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4d654ec2-3586-4aff-af84-0bea9ccdb651 · outbound

This paper cites Each element zt represents the similarity score between the denoised images in consecutive time steps t and t − 1.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Each element zt represents the similarity score between the denoised images in consecutive time steps t and t − 1

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 84dd8e72-398e-404c-9c03-27baab1eae46 · outbound

This paper cites µS = 1 NS X s∈S s, (14) where NS is the number of elements in the set S.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images µS = 1 NS X s∈S s, (14) where NS is the number of elements in the set S

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ed6d8ba7-74d8-487e-8cd4-1a0b26a55831 · outbound

This paper cites This is related to fluctuation in the Similarity Trajectory for sets in the time domain.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images This is related to fluctuation in the Similarity Trajectory for sets in the time domain

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:50:43.833329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dd474941-6e38-465c-8391-88118dc384fd · outbound

This paper cites The significance of percentiles lies in their relation to the fluctuation of the Similarity Trajectory for detail coef- ficients.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images The significance of percentiles lies in their relation to the fluctuation of the Similarity Trajectory for detail coef- ficients

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:50:43.819965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 20d1c163-a952-4845-8c9d-e85723727d18 · outbound

This paper cites This describes how rapidly the Similarity Trajec- tory fluctuates in the time domain.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images This describes how rapidly the Similarity Trajec- tory fluctuates in the time domain

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:50:43.806920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7d92204f-0b5e-4158-aad4-f8289fcc69c3 · outbound

This paper cites an unresolved cited work.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:50:43.793916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:50:43.693375Z digest=sha256:287ab7d4c491d00501e31275bdca6a46ef570bb144adf428a7a013c25b567022

Observation a241f50e-2389-4561-a4d9-a9efe0479937 · outbound

This paper cites Again, this is another metric characterizing the fluctuations of the set.

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images Again, this is another metric characterizing the fluctuations of the set

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:50:43.779325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:50:43.697283Z digest=sha256:64e0ec564778ed48c1dac341e4cb82fb28bf23969a2667540760a18157bb3b43

Pith citing papers

No inbound Pith citation observations are available.