Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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

  • verified exact0
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:59661560167533ecd5de3f3174e70efdadfdefdd866fd2f20de267bba9d9fd49

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:29eec3b99cb3592e60aea92346be72333496158df5aae1a85bb2b1c04c86bf0b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:77cbbb3fd00891f0e27e7fdb3f3c3be349bc1d60ac4fa939dbeacf9f9b130d8b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:600bae37b130c7f32af1c35be8363081a403d66cdf45d3006e0dd93d5c024b92

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:c3fa556f8c0cf0c0f3a663af9597166c25d5d0e74f1d5d13c91c62a36e22e1ef

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:ae35ff2309f9ae797017adc9a7d720534f41f221c963a7492f7d273a424d8307

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:5470e960e738c01ab79927a1853fcbc92c59412dabe518b2aa09d73a2dc3ca50

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:71484cd93957f1bd22b9ba6b78308bd918aa7d996944a6a3bb32b2f0c80c5587

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:8d710fbb914aba4dd7529edf215339457fce4950fa8c844dafd195dec9b993e0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:e7dedc8590681656fd7f536d3eb6873d977d562f64c6df11c6ad855381948cc5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:f606b3fc3ee20cd8bce28a92137af6062505c8ef6167d87be98da820b54448e7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:2877e8f9e8d6c6627a73e34f6aa6e9220f111749a3d5eeb49d0c0498a8452aac

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:e4bb7d1b3e34f83e333b8fe6dd93f392a1ca64b592f38f95db26d5d454128c27

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:93a9649400b1e59fee6d8177bcbedba1f42153d229193a96940d93fcd463400b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:fe9857b9e7798683b230100d581b383f4a5164b4ca99becbff93bb98af18eeb2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:ddc0ffd4dd09d5290ebf7350da2695c35862d485f66d79caa05405ca9fcd6cda

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:c86daf0e7d6d33f54e99fc6bdfa1a40c3a1664c19e30c60d06c6a8077a109f44

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:9e5244e3ba20ff930b4bace0d1bdd0a775600f78f08eeecf6ef57735bfc90f66

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:ffbd61aed7659d4e52b01678d3d90f7319dcaebe21a1a1ba1cf06b95e9ea6dba

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:36d55abc5bb010213b00fbe008aa5beb9133d757ada7de1ab63d0966a303574d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:1649ce1486c211e5b13c727cb96ca189caec38607235599b9e682e0fe2d37ad0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:f44516503abbeb3610ecc50f7c1b2eab0c86da8797fd3463901d0d9c9ce49ab7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:529eab7456e7de8cf641563efee0a15349e6ad9d76b40214caa10f8c9e0012bb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:caede8c91f23fdce2be716b41b69a0df531fb9410640e3c9b5bc8d1b2cda5be3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:50989ac52f4b0371cda764a3eac25253875f88cd67a7ccfbfe2cb56f83c08457

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:2f8fd8124b8165e7068c778090e9b73d65c0e36189b68ce3cdd518ed56e6d051

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:8a3a1e02693b1055e3b02752097c2be3e0e0f3ff2c5e3f7998d1549760c8c889

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:4d49ae6b699eb786aff209f612397448588fbd3ee451d70aec939a58d2565100

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:ec0bbfba0fdd4e7d95fa7b583a6b831121ebc2931ded4c7450e024cd5dba4b7c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:9d4e4efb8ff06e8e2c0d6a7afd1d5db781e31fead9d3b67dd87542c2fbc6eae2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:00c0fa3a800d4c18b98126046d421b89f024688a1613797aa93ca83df971eb21

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:272cfc83947386f73b363ec5e198aca00c2c59fd25cfe804349cf6edc1938358

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:32a1056f06eabe4e486bcb2dfa592b98e48028776a4615bc4854af98f5f452bf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:6194c08ccb80b0f198fa49cdadc4ae45b990acbc0d589422c5b6e0d3478939fb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:4edc287788618347135e8c38dcce13d6aeec6aca4100d4a6400d7bd907f55508

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:00ea46c6a47f3f106c8b0026a19e2dee0ffe3fcf83c0374a1532ab7346079dfb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:72a4bed12145f3a5ddaa48c0aee1f80dd4a411273498c9f185dd53c21b5891a9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:9666fcb4462439078d1b7a2f5b3476d5d2ce2dadf9eb60a4fea0bfcf86720322

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:d2b207a8cef6ebbd8ca6ad1f119cae84008738b90f2a9ffdefb5e3c6778b26bb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:d91a637a167e08f62173a495280e2538eee46b6d265e9517ed2fb89487de10b1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:a6f8fec89127624f9422058c6bec1fe2fcb00f0d9100218a5e33d93774accde3

Pith citing papers

No inbound Pith citation observations are available.