Paper Citation Record · LEDGER

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

As of 12 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 10 inbound Pith citation observations for arXiv:2605.05204.

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

pith.paper-citation-record.v1
2605.05204 v3

Coverage vector

measured 100 of 121 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:44:10.302520Z

measured 110 of 110 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:30:00.385798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:46:41.050220Z

Reference resolution

100 of 121 outbound references displayed

verified exact15
verified fuzzy36
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch39

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10df9430-1103-4676-97b6-8c4bc6cd25d1 · outbound

This paper cites In: The twelfth international conference on learning representations (2024).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: The twelfth international conference on learning representations (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.892255Z

Source-reported events for the cited work

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Observation 604d3f3e-61ff-4964-a4df-ec2359b1baff · outbound

This paper cites Qwen3-VL Technical Report.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Qwen3-VL Technical Report

Reference 2

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Source-reported events for the cited work

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Observation 33d3b8aa-e3f7-451f-a925-2099e20938e3 · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.896039Z

Source-reported events for the cited work

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Observation 9ffe5272-a225-4c0d-90ca-f64474a70872 · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 4

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Observation f38f3f6d-3403-4cb8-b72c-a611fbafc7a5 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural information processing systems33, 1877–1901 (2020)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.973199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b076236-9051-4807-9aa0-fdffa6ab1e1e · outbound

This paper cites HunyuanImage 3.0 Technical Report.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models HunyuanImage 3.0 Technical Report

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.726103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41821624-7e69-43ac-82fe-dc79c39b0b49 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.982216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65da059c-ef14-4e61-b3e6-7e543b13d2c1 · outbound

This paper cites arXiv preprint arXiv:2603.06507 (2026).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint arXiv:2603.06507 (2026)

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bcff98d6-b3dd-4b56-a8c9-b54aa359a89f · outbound

This paper cites arXiv preprint arXiv:2510.14974 (2025).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint arXiv:2510.14974 (2025)

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.797692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80323758-2130-43d0-a95a-dcf746e53632 · outbound

This paper cites In: International Conference on Learning Representations (2024) 17.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: International Conference on Learning Representations (2024) 17

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.966387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61f42389-0329-4785-b579-f51a00fea34c · outbound

This paper cites Science China Information Sciences67(12), 220101 (2024).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Science China Information Sciences67(12), 220101 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.890283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cbdac3d1-e131-4e48-9811-3141288fb57e · outbound

This paper cites arXiv preprint arXiv:2512.05150 (2025).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint arXiv:2512.05150 (2025)

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.777073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b693291-bb14-4e7c-8ddd-e7731347d231 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.737571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ebc197e-825b-4c9f-bc67-2623e8ba8ed6 · outbound

This paper cites https://huggingface.co/Freepik (2024).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models https://huggingface.co/Freepik (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.886493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b7b58b1-4ff4-4a47-8fd9-22822aee7f55 · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.955155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9740fdc6-cf35-4e81-8f25-36271682ef00 · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural information processing systems34, 8780–8794 (2021)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.968040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2099877-37c7-42de-8675-7cee96484375 · outbound

This paper cites In: Forty-first international conference on machine learning (2024).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Forty-first international conference on machine learning (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.983805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c87e6ba7-3d2d-45fa-bce9-80ab0fe1a5ce · outbound

This paper cites Data Filtering Networks.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Data Filtering Networks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.779945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f9f6433-35ec-46ce-98e3-aa96f9f909ac · outbound

This paper cites TinyFusion: Diffusion Transformers Learned Shallow.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models TinyFusion: Diffusion Transformers Learned Shallow

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.777380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f75e0786-a854-4e23-90c2-9a5a428c67bd · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.718191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8feba64-4a21-4b47-b28e-4cbc5f2ee5d9 · outbound

This paper cites Advances in Neural Information Processing Systems36, 52132–52152 (2023).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in Neural Information Processing Systems36, 52132–52152 (2023)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.935046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2d61211-05f5-4ee7-b07c-0d0515d434de · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.940799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09488f58-1673-4f2c-b487-7d2ba998d80b · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.928014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84505207-2e9e-4890-8f5f-5dd7e42e65c7 · outbound

This paper cites International Journal of Computer Vision129(6), 1789–1819 (2021).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models International Journal of Computer Vision129(6), 1789–1819 (2021)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.933361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a14bc33-189b-46ff-a161-a27aeda64014 · outbound

This paper cites ELT: Elastic Looped Transformers for Visual Generation.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models ELT: Elastic Looped Transformers for Visual Generation

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.698471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 988e345f-0f47-4a34-8e45-1572ab1657ea · outbound

This paper cites Co-Evolving Policy Distillation.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Co-Evolving Policy Distillation

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.748490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19056918-2ab4-4c94-a995-a2287f9ed37e · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.713156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76fae7b9-2c4f-4de7-b706-f36a70f9bc2c · outbound

This paper cites Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.753727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d332dfb6-7bf9-470f-bd2e-d9077136ef99 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.802862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8ddbc15-a382-49b3-a407-6ee9baf8eccb · outbound

This paper cites Advances in neural information processing systems30(2017).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural information processing systems30(2017)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.946047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 93e8b6a0-6250-440c-825a-73682cfbc9da · outbound

This paper cites Distilling the Knowledge in a Neural Network.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Distilling the Knowledge in a Neural Network

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.712855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ac5b722-c71c-4db5-bb1e-7cc5c316d630 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural information processing systems33, 6840–6851 (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.884540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation defa0da0-96e5-4414-87ab-f9d1f00074c5 · outbound

This paper cites ICLR1(2), 3 (2022).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models ICLR1(2), 3 (2022)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.951628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30c6cb0b-8d48-46c0-8a52-c25fc7b88ecc · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.745573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 305b9139-d664-40a2-a70d-565efc2005b9 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.755855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ee1dc83-c4eb-48df-8b17-90fe332e1c96 · outbound

This paper cites Journal of quality technol- ogy18(4), 203–210 (1986).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Journal of quality technol- ogy18(4), 203–210 (1986)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.918291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38718d9b-2e39-40cf-bf4b-b5d93da75aa6 · outbound

This paper cites Stable On-Policy Distillation through Adaptive Target Reformulation.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Stable On-Policy Distillation through Adaptive Target Reformulation

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.764144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1d6fd0a-9953-4bdf-b31e-9c90a1261647 · outbound

This paper cites Distribution Matching Distillation Meets Reinforcement Learning.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Distribution Matching Distillation Meets Reinforcement Learning

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:17:14.617836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c3d7bf6-161b-4bd2-b55e-197f1198667e · outbound

This paper cites arXiv preprint arXiv:2505.02831 (2025).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint arXiv:2505.02831 (2025)

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.758462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca2a26d5-caf4-4e52-a92a-748a7b7dd4a3 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.922201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2b331d3-7612-4b36-b653-381208079547 · outbound

This paper cites co/blog/kelseye/training-strategies-of-z-image-turbo(2025).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models co/blog/kelseye/training-strategies-of-z-image-turbo(2025)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.920285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11fbdbd7-0d5a-439b-97f9-9f5522a13e90 · outbound

This paper cites Advances in neural information processing systems36, 36652–36663 (2023).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural information processing systems36, 36652–36663 (2023)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.944326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28700b64-7413-4ec2-b64d-a07b189e6448 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.906281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a66187b-252b-4388-8154-46c6dc216d0a · outbound

This paper cites The annals of mathemat- ical statistics22(1), 79–86 (1951).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models The annals of mathemat- ical statistics22(1), 79–86 (1951)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.888285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca419102-eba1-4b73-b91e-b780570ce053 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.904392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b036e60b-91ad-44cb-9553-7f7454c101ce · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-30T23:45:07.779477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e051eb9a-aad0-4582-b1e8-3385677f70cf · outbound

This paper cites RefTon: Reference person shot assist virtual Try-on.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models RefTon: Reference person shot assist virtual Try-on

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.781883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70b89e27-af97-49be-b7e8-0d457febef4f · outbound

This paper cites Flow Matching for Generative Modeling.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Flow Matching for Generative Modeling

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.766692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00f352a4-512e-4cc2-9046-fc0a2c975811 · outbound

This paper cites Decoupled dmd: Cfg augmentation as the spear, distribution matching as the shield.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Decoupled dmd: Cfg augmentation as the spear, distribution matching as the shield

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:45:07.784308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2423e3fe-7fdc-46cc-90b2-3c13523e58fe · outbound

This paper cites Advances in neural infor- mation processing systems36, 34892–34916 (2023).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural infor- mation processing systems36, 34892–34916 (2023)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.912339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b59d97c8-bd60-44eb-b00a-8441301d25e2 · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Flow-GRPO: Training Flow Matching Models via Online RL

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.715194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b225a3c4-e7e6-4d31-80ad-aeafd076974e · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.715535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e577ed64-c8ae-4ce6-a695-c05ac66679ba · outbound

This paper cites On-policy distillation.Thinking Machines Lab: Con- nectionism.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models On-policy distillation.Thinking Machines Lab: Con- nectionism

Reference 53

Resolution: verified exact; doi, observed 2026-06-30T23:45:07.025192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 52522a26-269a-4aed-b727-b0b3ef0ec55e · outbound

This paper cites Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.746273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ae71051-068c-4e5f-9015-73232e6c4c82 · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.772184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4237c226-7359-4843-bef0-dfdcdff19d02 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.753543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 985615c3-b817-415c-8506-65afedea7893 · outbound

This paper cites Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.704178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e82ab8af-3e28-4a94-b0af-4329ac8fd2e9 · outbound

This paper cites Advances in Neural Information Processing Systems36, 76525–76546 (2023).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in Neural Information Processing Systems36, 76525–76546 (2023)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.942574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f714415f-a108-4419-930f-9178c702216d · outbound

This paper cites arXiv preprint arXiv:2603.07700 (2026).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint arXiv:2603.07700 (2026)

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.784608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a46bc800-0994-4bc4-bc2f-f180ab6b5d06 · outbound

This paper cites Learning Few-Step Diffusion Models by Trajectory Distribution Matching.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:45:07.787257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0a80a640-c0ae-46ae-af05-8ead396d1995 · outbound

This paper cites In: European Conference on Computer Vision.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: European Conference on Computer Vision

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.894137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bcce359d-1418-4b4b-96fc-ed9ee8aecd7f · outbound

This paper cites Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.680250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3947564-2b14-4e0f-a3fb-8c4b45870824 · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.916477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebcd0d43-1966-415a-9a78-19b1d4d75c4f · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.910402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7001bf23-5615-4eaf-8d9a-74e5ee826355 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.925966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d388fb8a-6378-4287-a5fe-d4519f9ea38c · outbound

This paper cites Privileged Information Distillation for Language Models.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Privileged Information Distillation for Language Models

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.665274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9a460ac-a520-415e-8fe7-0043e8cd2e57 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.674371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9c6dfa9-eafb-4485-be85-81c0014db49c · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.978748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 29fa9051-3aff-4620-af54-a6af5b2ccedd · outbound

This paper cites SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.724103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 90438f97-e172-4074-b8ff-2dfc94572387 · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.898761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fef8159c-a459-4f61-8ad4-0d2ba2343863 · outbound

This paper cites In: International conference on machine learning.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: International conference on machine learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.937014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5080f8ee-0780-4fcc-a09e-8f51f3535d39 · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.958793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4295a7f5-b558-4796-b9cf-f0866dbee8a9 · outbound

This paper cites OpenAI blog1(8), 9 (2019).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models OpenAI blog1(8), 9 (2019)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.953391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9b2f16e-7164-4c3d-9298-e674c8f45722 · outbound

This paper cites Journal of machine learning research21(140), 1–67 (2020).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Journal of machine learning research21(140), 1–67 (2020)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.980567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 764e5a6c-a9f6-44db-add8-5d1fabdfe8be · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 75

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.686459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f431a5c-ec05-4495-a53c-62f02462cc91 · outbound

This paper cites Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.683049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2fb3dc54-7381-4090-8c50-46840cc61203 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.931599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7443f1eb-bce4-47fb-a59b-d1acd0817c3d · outbound

This paper cites an unresolved cited work.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:23:41.929910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c37ff62-a909-4b77-a517-6fc1c44d7926 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.962699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b471cec3-8b41-4364-8421-d316f3569706 · outbound

This paper cites CRISP: Compressed Reasoning via Iterative Self-Policy Distillation.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models CRISP: Compressed Reasoning via Iterative Self-Policy Distillation

Reference 80

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.734914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef8ee247-6c1a-48f1-8f34-51ccb3660b05 · outbound

This paper cites In: SIG- GRAPH Asia 2024 Conference Papers.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: SIG- GRAPH Asia 2024 Conference Papers

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.900429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f9d03a2-ed15-4f0c-abcc-b5a7febb1a9f · outbound

This paper cites In: European Conference on Computer Vision.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: European Conference on Computer Vision

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.924296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f3e96aa-b47f-4db5-b830-4792894da5e7 · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 83

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.647262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 753d7192-848f-48b3-952b-37d406e27b9e · outbound

This paper cites Seedream 4.0: Toward Next-generation Multimodal Image Generation.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 84

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.661059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 603f5b07-611d-41cc-afed-2a5a8b6fc294 · outbound

This paper cites Self-Distillation Enables Continual Learning.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Self-Distillation Enables Continual Learning

Reference 85

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.663473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be78f582-3197-4452-8095-51befc0b694f · outbound

This paper cites DINOv3.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models DINOv3

Reference 86

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.756115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71c2b7e3-07fe-4eba-a1c8-a17a34b5450e · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.774474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c157190-662d-4e21-b58e-b706fa7f8fe5 · outbound

This paper cites https://somepago.github.io/posts/latent-scaffolding-series/ (2026).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models https://somepago.github.io/posts/latent-scaffolding-series/ (2026)

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.902480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation de7c3c68-a2be-47f2-97b3-0a6d75d34e87 · outbound

This paper cites Denoising Diffusion Implicit Models.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Denoising Diffusion Implicit Models

Reference 89

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.638105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f5eb131-becf-4872-9b03-3a85ebe2ce08 · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models A Survey of On-Policy Distillation for Large Language Models

Reference 90

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.751131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87d0166b-f3f8-4d32-aaed-25f280640ebf · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 91

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.743236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0290cbed-c567-4cae-bca1-4fe965a14dd5 · outbound

This paper cites Advances in neural information processing systems27(2014).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Advances in neural information processing systems27(2014)

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.960826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e5fd7950-5133-4b93-bb87-53c8f4b7defe · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.969822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a8b77ce6-e2a8-43b4-8300-545bc9362a7e · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 94

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.774888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f33cf76-a45d-425a-b385-2885dee4b669 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models LLaMA: Open and Efficient Foundation Language Models

Reference 95

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.743460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9228336-fecd-4931-b3f8-fe1e543a6ab8 · outbound

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

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:23:41.964529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f2e952b-57bc-4b20-a433-ab0efa96a05b · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 97

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.671217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f391866e-592a-4be6-ba48-7822ba99540c · outbound

This paper cites arXiv preprint:2509.04545 , year=.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint:2509.04545 , year=

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.653205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2784d21d-db77-4a80-9afe-713cc79f0e25 · outbound

This paper cites arXiv preprint arXiv:2601.17830 (2026).

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models arXiv preprint arXiv:2601.17830 (2026)

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.614253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 167125c4-4d0f-4c3c-a877-5912814fb470 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 100

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.631945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation d4828763-2e9c-4b22-a4fa-766d9a9b51b3 · inbound

A Brief Overview: On-Policy Self-Distillation In Large Language Models cites this paper.

A Brief Overview: On-Policy Self-Distillation In Large Language Models D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-20T09:08:09.929035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f6ade443-bee1-4184-bc1c-6f417eb9fc03 · inbound

A Brief Overview: On-Policy Self-Distillation In Large Language Models cites this paper.

A Brief Overview: On-Policy Self-Distillation In Large Language Models D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:54:46.981012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe91ecb5-4b21-4607-940d-e4fd390f3a01 · inbound

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation cites this paper.

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:44:01.947832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee0af85b-c1fa-47f0-ae2c-12293accecc9 · inbound

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing cites this paper.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97f7df4-772f-48ad-9c5a-3306f5d2d77c · inbound

DanceOPD: On-Policy Generative Field Distillation cites this paper.

DanceOPD: On-Policy Generative Field Distillation D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-04T13:49:51.441607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6180f253-12ab-4c2c-8f84-1f8a9199470d · inbound

DanceOPD: On-Policy Generative Field Distillation cites this paper.

DanceOPD: On-Policy Generative Field Distillation D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T11:44:54.717393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36dd87c-39cf-4743-a874-c06a2fe570a6 · inbound

From SRA to Self-Flow: Data Augmentation or Self-Supervision? cites this paper.

From SRA to Self-Flow: Data Augmentation or Self-Supervision? D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-03T14:38:28.548692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6611cf66-a499-4c2a-87af-67d3544ddac3 · inbound

OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators cites this paper.

OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:46:41.051873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 435fd66d-6c63-4cb0-b395-30efca652cc7 · inbound

Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation cites this paper.

Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-07-31T06:35:52.566642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f4110bf-3ff9-40de-b50f-d53b682a0a8c · inbound

EvoReason: Self-Evolving Reasoning Primitive-Guided On-Policy Distillation for Latent Reasoning in Generative Recommendation cites this paper.

EvoReason: Self-Evolving Reasoning Primitive-Guided On-Policy Distillation for Latent Reasoning in Generative Recommendation D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T15:30:00.385798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.