Paper Citation Record · LEDGER

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.03899.

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

pith.paper-citation-record.v1
2607.03899 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:10:33.541046Z

measured 41 of 41 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 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

41 of 41 outbound references displayed

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verified fuzzy0
unresolved41
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malformed identifier0
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External citation measurements

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Outbound references

Observation 161e60ba-8f4a-4b9d-8781-12b861ccc01f · outbound

This paper cites SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation fda343ed-e25f-4271-a825-8df3cf5ab978 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 1541979b-d5ae-4306-a82b-724f341eb0a9 · outbound

This paper cites In: International conference on learning representations.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: International conference on learning representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 5cef9d24-f01d-455e-b55d-f03b7508f482 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation abf67f48-3f80-40a2-9b2a-c8e1381cf873 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 4da525ed-cc92-4a2a-b659-f42c93175f58 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: The Twelfth International Conference on Learning Representations (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation d2d44c9e-8335-4ff5-a0b0-833a3a469323 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2025).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 17fbac70-10a6-4dc4-ac89-c56fc1c5986d · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation a1e705ea-0432-4072-882e-37fa43797535 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 54a282a5-e5e2-476c-9df2-4fcc78b909bc · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Advances in neural information processing systems33, 6840–6851 (2020)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 1f393eff-9c36-44d6-ba77-7918a11b6bc3 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE international conference on computer vision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 19c6b434-ff65-4a6e-8119-eedc0f8f7cb7 · outbound

This paper cites 2017 IEEE International Conference on Computer Vision (ICCV) pp.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models 2017 IEEE International Conference on Computer Vision (ICCV) pp

Reference 12

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Observation 9e5807b5-9097-489d-b9ce-d1e05277f02e · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 288ade01-b589-4273-af8f-713eac770877 · outbound

This paper cites FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 5ebcd369-59de-4992-9b0e-d7216c8bde5a · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 0f1be385-7475-4661-9fb7-2939c7b24bd0 · outbound

This paper cites an unresolved cited work.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 6daed7ee-aa33-443a-b29b-73964ee6fc48 · outbound

This paper cites Decoupled Data Consistency with Diffusion Purification for Image Restoration.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Decoupled Data Consistency with Diffusion Purification for Image Restoration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation b2fff81f-ec04-4320-86c4-6f271e425fbc · outbound

This paper cites ACM Transactions on Graphics (TOG)43(6), 1–10 (2024).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models ACM Transactions on Graphics (TOG)43(6), 1–10 (2024)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation b1f290db-38dc-41f1-b329-67e4eb42efee · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation b5f15723-5e3c-40dd-ab01-b5d22e8e2843 · outbound

This paper cites Decoupled Weight Decay Regularization.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Decoupled Weight Decay Regularization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation a1a68c69-ec77-42e7-879a-a25d221179e9 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation cf29224c-5ef8-4b51-ac8c-92ed86536549 · outbound

This paper cites an unresolved cited work.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 84ea2dbd-df1a-49f8-b9bf-96a8acefbb98 · outbound

This paper cites Steering Rectified Flow Models in the Vector Field for Controlled Image Generation.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Unavailable: canonical work link unavailable.

Observation 6de6d3a5-3f56-4372-8908-ef1ee31cf9d0 · outbound

This paper cites an unresolved cited work.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 15321c64-2889-40ff-bbf5-03950cf2e4ca · outbound

This paper cites Issues in Accounting Education26(3), 593–608 (2011).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Issues in Accounting Education26(3), 593–608 (2011)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation ebbe5c22-3a3b-4ec3-bb4f-f83cc29b1e82 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation e9d8be29-baa5-44a1-ab24-e90e1ddc1e52 · outbound

This paper cites In: International conference on machine learning.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: International conference on machine learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 5d376cb6-114c-4c03-a9bb-91b58f900a66 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 3c15002d-ceeb-448e-83a0-c47cf307124e · outbound

This paper cites Advances in Neural Information Processing Systems36, 49960–49990 (2023).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Advances in Neural Information Processing Systems36, 49960–49990 (2023)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation adf5d3ce-2281-48bd-b1a0-2b935caee3ec · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 918e2f03-7d50-4f8b-98c7-976c63c36e52 · outbound

This paper cites StyleDrop: Text-to-Image Generation in Any Style.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models StyleDrop: Text-to-Image Generation in Any Style

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 43486ea2-12bd-426c-a72e-91f41702ad5a · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 208c2d38-5fe7-4bae-9f0e-106b9fa02408 · outbound

This paper cites The MIT press (1964).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models The MIT press (1964)

Reference 33

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Observation 19f13104-b720-44cd-864b-b8f4c18afc32 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Unavailable: canonical work link unavailable.

Observation b09a1a3c-eb63-4f25-b0af-37b0c4467666 · outbound

This paper cites CSGO: Content-Style Composition in Text-to-Image Generation.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models CSGO: Content-Style Composition in Text-to-Image Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation da824421-b484-4eb6-a092-cc6962810c49 · outbound

This paper cites Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 8fa1ee38-055f-4bc5-83b3-cbd8e10f3ba5 · outbound

This paper cites Advances in Neural Information Processing Systems37, 22370–22417 (2024).

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Advances in Neural Information Processing Systems37, 22370–22417 (2024)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation bbcf398a-7f39-4f72-ab7d-4d53a22929af · outbound

This paper cites an unresolved cited work.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation 687f94df-1939-43c0-b91a-08b5264e529e · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Con- ference.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the Computer Vision and Pattern Recognition Con- ference

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Unavailable: canonical work link unavailable.

Observation 2154de35-adba-4ecf-acdf-ec2abceefea6 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Observation b9815b26-3421-4439-a4ee-6773731ba105 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T23:10:33.541046Z

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Pith citing papers

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