Paper Citation Record · LEDGER

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2405.18750.

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

pith.paper-citation-record.v1
2405.18750 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:26:21.996386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:02:41.761466Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d7f15538-722a-4a8c-9e85-3090e06296c0 · inbound

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer cites this paper.

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:26:22.324772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6ba3f1e-ce19-4a5a-96aa-163764b662ed · inbound

Emu3: Next-Token Prediction is All You Need cites this paper.

Emu3: Next-Token Prediction is All You Need T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:08.776459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d4e8c6e-447c-451c-8788-3dcf96766249 · inbound

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification cites this paper.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:21.996386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc7045f-8204-4314-bff3-e01eeb5b52e5 · inbound

Accelerating Video Diffusion Models via Distribution Matching cites this paper.

Accelerating Video Diffusion Models via Distribution Matching T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:52.613147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a8df5e-1cf7-4675-a3cd-d7887bad7f70 · inbound

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity cites this paper.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.327092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4f4a45-88a1-4813-b3c3-94f17a9983c9 · inbound

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device cites this paper.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:58:35.736814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c5a284-39b7-4a49-8c32-f32ce2b82b28 · inbound

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization cites this paper.

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:02:41.764798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f48b987-b94a-4382-80d7-4a9ce3047b56 · inbound

BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations cites this paper.

BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:41:46.753046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1c60612-ad5a-42a4-a2fd-492a0722c019 · inbound

Improving Video Generation with Human Feedback cites this paper.

Improving Video Generation with Human Feedback T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:30:02.717396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7815a47c-4b65-4272-a143-e39145aebd2e · inbound

Fast Video Generation with Sliding Tile Attention cites this paper.

Fast Video Generation with Sliding Tile Attention T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T22:37:42.061479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1194f38-bc35-473c-bff2-3b3ba0fd07fa · inbound

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile cites this paper.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.669349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc82d02-afd8-4e98-b2cb-a35855234460 · inbound

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models cites this paper.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.328708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd030be6-b309-445a-b29d-afe56d43af43 · inbound

AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation cites this paper.

AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:28.761207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8114b6c2-c089-4c25-a59c-d1939486774b · inbound

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning cites this paper.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:47.758591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 789be283-39b0-44f1-8fed-055e3d76aa16 · inbound

When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators cites this paper.

When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:52.904057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122d9569-a45d-4016-860b-0db77d8a1db6 · inbound

Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling cites this paper.

Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:17:06.729045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07ef3d34-9444-4738-a6f1-6d3f3f07fe95 · inbound

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning cites this paper.

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T11:32:41.788635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53f460a6-c475-454f-8a14-175e3d47424d · inbound

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion cites this paper.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.480170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e642ad-4ac0-4888-ae1c-69e8054d0bf5 · inbound

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling cites this paper.

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:15:54.481132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9133d09b-e088-45b7-8f58-df14cfd378ed · inbound

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence cites this paper.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 142

Resolution: unresolved; no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9714246d-8506-4c44-867d-638f3bbd9dce · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:04.688549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.