Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T01:57:11.149703Z
Paper Citation Record · LEDGER
D2PO: Optimizing Diffusion Samplers via Dynamic Preference
As of 17 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2607.06609.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
- verified exact0
- verified fuzzy61
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch12
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 92078950-986c-47e2-9738-6e0e401d08a1 · outbound
This paper cites In: ICLR (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2022)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.054244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3311cfb7-c4c2-483f-bd30-cfa33aab470e · outbound
This paper cites In: ICLR (2018).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2018)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.676003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c1296221-757c-4291-8043-c172851ca835 · outbound
This paper cites In: ICLR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2024)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.363015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d6114fe-3ee5-490b-967f-4c019af029cb · outbound
This paper cites In: ICLR (2019).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2019)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.952787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba4c021a-5691-49da-a4c9-639b20ed9adf · outbound
This paper cites In: ICML (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICML (2024)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.920660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60835371-a8a9-4837-a486-9fa6d9d21936 · outbound
This paper cites Training Deep Nets with Sublinear Memory Cost.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Training Deep Nets with Sublinear Memory Cost
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.998335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7de3bce7-ae1c-4ded-92e5-9ed8178565b1 · outbound
This paper cites In: The 40th Conference on Uncertainty in Artificial Intelligence (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: The 40th Conference on Uncertainty in Artificial Intelligence (2024)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.818032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d6a79bf5-4a7f-44e3-987f-b11749ea4651 · outbound
This paper cites In: ICML.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICML
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.643214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0ade61fb-f936-430f-a637-7edc13100311 · outbound
This paper cites In: ICLR (2025).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2025)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.782593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 172829bf-7008-49aa-8e68-ea12a5b373e4 · outbound
This paper cites In: NeurIPS (2021).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2021)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.853512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39a4b19c-86af-40f5-bf19-2494f7440912 · outbound
This paper cites In: NeurIPS (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2022)
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.135267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 533a0cea-e8e7-4605-a63f-578a74c00173 · outbound
This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.875055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52416021-8237-402e-b51e-57e156c2ec88 · outbound
This paper cites In: NeurIPS (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2023)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.493385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f2ca0dad-f24c-4611-a74a-8cd31e71199d · outbound
This paper cites In: ICML (2025).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICML (2025)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.391157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d168d5df-b3d5-4d31-8dbb-4cb1454a944d · outbound
This paper cites Learn to guide your diffusion model.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Learn to guide your diffusion model
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-11T01:57:49.836517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 421af353-93de-4e78-a1c3-e4e3843dea94 · outbound
This paper cites In: ICML (2018).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICML (2018)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.211109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0c9e48c-4a46-46e2-ab53-f0b964eb81a5 · outbound
This paper cites The CMA Evolution Strategy: A Tutorial.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference The CMA Evolution Strategy: A Tutorial
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.977548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1742e7d0-4c78-49c9-9b42-1f41e2dff580 · outbound
This paper cites In: NeurIPS (2017).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2017)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.425384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 14acd910-f676-4a25-932b-45cb3dd0c684 · outbound
This paper cites In: NeurIPS (2020).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2020)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.857089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4be5f26d-1fdd-4891-a8bb-91b1108433ef · outbound
This paper cites Classifier-Free Diffusion Guidance.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Classifier-Free Diffusion Guidance
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.945882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4088ce30-eb38-478e-b2da-ae6aeab9be3c · outbound
This paper cites In: NeurIPS (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2022)
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.275182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef4f3bb6-51ff-498a-87c9-4d16669fc8cf · outbound
This paper cites In: ICLR (2017) D2PO: Optimizing Diffusion Samplers via Dynamic Preference 17.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2017) D2PO: Optimizing Diffusion Samplers via Dynamic Preference 17
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.245273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a9ca3b16-b182-41b2-9027-88c4d17e6f62 · outbound
This paper cites In: CVPR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2024)
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.452376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca46a069-0188-4bb3-8252-1ddaa7a0daff · outbound
This paper cites In: NeurIPS (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2022)
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.937995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ebe10175-6130-421b-8630-c8e06e820d7c · outbound
This paper cites In: ICLR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2024)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.892343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c817af75-b729-46b8-b57f-a9b35a65d65c · outbound
This paper cites In: NeurIPS (2021).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2021)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.331749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7751c74c-bf68-4af8-98aa-b3624c99b9df · outbound
This paper cites NeurIPS (2018).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference NeurIPS (2018)
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.008009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d6a77e38-2297-45ce-82a4-475479be7582 · outbound
This paper cites In: ICCV (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICCV (2023)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.163672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e87baf58-8925-401d-b615-26b9f26ab6df · outbound
This paper cites In: CVPR (2025).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2025)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.080189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation defe739d-d8ff-4a19-a2aa-9e14321e4416 · outbound
This paper cites In: ECCV (2014).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ECCV (2014)
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.109222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5606fe76-c84b-44f3-8ba8-fcfe1d55aa9e · outbound
This paper cites In: NeurIPS (2025).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2025)
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.140464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2fcc84be-c822-4bb3-b347-8f512ab15a93 · outbound
This paper cites In: ICLR (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2022)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.172752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cf28b00a-ff66-4dd2-8844-40deb9712be5 · outbound
This paper cites In: ICLR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2024)
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.192806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e0859656-0975-4e58-9cb4-59a5cb8a45c7 · outbound
This paper cites In: NeurIPS (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2022)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.692128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation acc380d6-acf6-4e51-a476-551cf469cba6 · outbound
This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:50.100524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d3857e5f-3a90-47ed-8ee4-cdbec4ea41d9 · outbound
This paper cites NeurIPS (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference NeurIPS (2024)
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.111252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 07e97b8c-d001-481c-9f73-3aa2bae51134 · outbound
This paper cites NeurIPS (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference NeurIPS (2022)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.762148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 72d6d618-59c3-4fa6-a332-764563f88e45 · outbound
This paper cites In: NeurIPS (2019).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2019)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.888879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b61f2542-dda0-4e7c-a1cf-830db678c6cd · outbound
This paper cites In: NeurIPS (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2023)
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.085181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8bfca12d-08b8-4138-bcdb-b7d06fe54a6b · outbound
This paper cites In: CVPR (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2022)
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.522453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 30b04b1a-30da-4fd8-8b88-a501e36db870 · outbound
This paper cites ICML (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference ICML (2024)
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.581513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d566aa4-47da-4caf-afab-963babceb62f · outbound
This paper cites In: ICLR (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2022)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.429860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2554fc35-71e4-4cac-b873-e3d20278d835 · outbound
This paper cites In: NeurIPS (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2024)
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.461472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34394e1a-562b-46b2-a9c0-8c43d9200573 · outbound
This paper cites Kim et al.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Kim et al
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.492591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7002a9d6-ce4e-4084-bbe2-b4787de5fe06 · outbound
This paper cites In: ICLR (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2023)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.613524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ed70c03-5ed3-4c77-9190-988a89994169 · outbound
This paper cites In: ICML (2015).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICML (2015)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.820863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4ed4dcc-1ee8-4556-96c1-5989e0cbcadb · outbound
This paper cites In: ICML (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICML (2023)
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:54.247651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 095397cf-ea8b-4f3a-a400-10ece08adb35 · outbound
This paper cites In: ICLR (2021).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2021)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.398901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 158d6261-95af-48c7-9042-fcdd32ff7a08 · outbound
This paper cites Cambridge University Press, 1 edn.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Cambridge University Press, 1 edn
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.206276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 918f0963-1600-408e-abea-6d7ed74e1979 · outbound
This paper cites In: ICLR (2025).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2025)
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.088135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 637dc2ed-9913-4dc2-943c-aec12b7fd754 · outbound
This paper cites In: NeurIPS (2021).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2021)
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.144648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 346051bc-f709-4b75-91a1-39a8199c367f · outbound
This paper cites In: CVPR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2024)
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.236284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 94efdf25-4b2d-42d1-81b5-f26d7381694e · outbound
This paper cites In: CVPR (2026).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2026)
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.271450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee76c6d2-659c-4566-9820-b2c49c5a9ada · outbound
This paper cites ModelScope Text-to-Video Technical Report.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference ModelScope Text-to-Video Technical Report
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:50.053138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ce1aefe-401f-41aa-8892-0d6ed3f25b87 · outbound
This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.950657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 823e0765-49eb-44ae-809f-b3a7985da986 · outbound
This paper cites In: ICLR (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2022)
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.298365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9f2130c-3235-429f-8b82-d6b7b0250740 · outbound
This paper cites Learning to Efficiently Sample from Diffusion Probabilistic Models.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Learning to Efficiently Sample from Diffusion Probabilistic Models
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.916384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8061e8b5-4552-4dbe-aec7-2f5f24b0404c · outbound
This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 58
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:49.751223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f1806df-4147-43c0-b19d-f3477a4201b5 · outbound
This paper cites In: ICLR (2022).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2022)
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.937308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc3b9d9d-2805-416c-9f80-3880eced9dd5 · outbound
This paper cites In: CVPR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2024)
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.206281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c8804fb6-cfab-4b72-b21c-3aacf2b1d722 · outbound
This paper cites In: CVPR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2024)
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.332447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1501a6dd-4a4e-40dd-9118-ecd1be24faf2 · outbound
This paper cites NeurIPS (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference NeurIPS (2024)
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.968460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34eebef7-4d95-4a24-8687-3c51cfd1c0c9 · outbound
This paper cites In: NeurIPS (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2024)
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.711635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a1a5839-3a8a-4c9c-88ad-5f46a5096ebb · outbound
This paper cites In: CVPR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2024)
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.612977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3b2cc6d8-71ff-4f54-99fe-ed7b1276a633 · outbound
This paper cites NeurIPS (2024) D2PO: Optimizing Diffusion Samplers via Dynamic Preference 19.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference NeurIPS (2024) D2PO: Optimizing Diffusion Samplers via Dynamic Preference 19
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.799671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e664da53-b4e2-4cb1-a6ee-c0127852bafa · outbound
This paper cites In: CVPR (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2023)
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.536972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38eb1b5e-aed7-4cdf-8820-4702e7b70115 · outbound
This paper cites In: ICLR (2024).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2024)
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.565255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a6fe580-fe5e-4acc-a9dd-453e8a2fe2a8 · outbound
This paper cites In: ICLR (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2023)
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.594953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee402710-7bec-403e-b5cf-c8503970da0b · outbound
This paper cites In: CVPR (2018).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: CVPR (2018)
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.666821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7fc5c7c5-d477-4300-94b0-33032c1bcf7b · outbound
This paper cites In: NeurIPS (2023).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: NeurIPS (2023)
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:52.625470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba3b4ed2-76a5-49e9-b0a4-0e7d943f5d0d · outbound
This paper cites Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Reference 71
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:50.094472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2042dee4-71bc-44b9-8ab2-cb676e249201 · outbound
This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference MagicVideo: Efficient Video Generation With Latent Diffusion Models
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T01:57:50.068226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1c40e68c-878b-4a57-90b4-b52ad399f666 · outbound
This paper cites In: ICLR (2025).
D2PO: Optimizing Diffusion Samplers via Dynamic Preference In: ICLR (2025)
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:57:53.980426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a562628-908d-441d-9e53-ea0149687bc4 · outbound
This paper cites An old photo of an umbrella and chairs at the beach.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference An old photo of an umbrella and chairs at the beach
Reference 74
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-11T01:57:50.129830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.