Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2502.06812.

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

pith.paper-citation-record.v1
2502.06812 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:26:17.427689Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:55:02.514189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:14:04.743463Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy24
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c5a285f-8ac6-42b5-8765-f6c555b337b3 · outbound

This paper cites write newline.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.243081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbd6934-8faf-4eb0-b755-3fdc48153444 · outbound

This paper cites URL https://pictory.ai/blog.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models URL https://pictory.ai/blog

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.157160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b75cea8-a0a0-4062-8e95-6c007e4a12b1 · outbound

This paper cites URL https://runwayml.com/.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models URL https://runwayml.com/

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.146504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aedda03a-87d7-4a68-ab79-768bf9587477 · outbound

This paper cites URL https://www.synthesia.io/tools/ai-video-editor.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models URL https://www.synthesia.io/tools/ai-video-editor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.135495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efeb00fe-29df-4a0d-8be1-5a03cdde91c2 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.125190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5df60e09-8171-4268-82fe-fb82643f38ca · outbound

This paper cites Training diffusion models with reinforcement learning.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Training diffusion models with reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.114384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de1572f6-76a2-441a-be2d-add4be29ed80 · outbound

This paper cites W., Fidler, S., and Kreis, K.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models W., Fidler, S., and Kreis, K

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.102381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc14affc-bd09-4e31-b33f-bc07333ecdc7 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.271948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2fed0ae-baa9-4c8f-b9b3-22ac36d071b5 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.091279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fde46d5c-986b-4c56-ab52-c3ff07c40c11 · outbound

This paper cites S., Brox, T., and Ronneberger, O.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models S., Brox, T., and Ronneberger, O

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.080150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bac0149-6a1c-49f8-8c9d-6579e6e16b07 · outbound

This paper cites an unresolved cited work.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:26:18.069161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ced1d457-8368-476b-af66-8257e700416c · outbound

This paper cites DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.286546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7245801a-4267-4d2f-8344-a3abe0d74e8a · outbound

This paper cites D., Ni, Y., Lyu, B., Narsupalli, Y., Fan, R., Lyu, Z., Lin, B.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models D., Ni, Y., Lyu, B., Narsupalli, Y., Fan, R., Lyu, Z., Lin, B

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.058047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12601fad-88be-4d2b-b42d-9f27ac66d592 · outbound

This paper cites Denoising diffusion probabilistic models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Denoising diffusion probabilistic models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.293856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef611e7-864f-491f-8fe7-6842261106a1 · outbound

This paper cites Video Diffusion Models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Video Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.297240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ef9893-5173-45df-a4f6-c633fc7e7f41 · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.300911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c20b07-a1e8-4943-aedf-ea363127e0ab · outbound

This paper cites J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.304046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c883af6-977d-49db-b3e8-a0d5e6802840 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Vbench: Comprehensive benchmark suite for video generative models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.027581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13f1cb82-f460-4ad9-a828-d0af78269364 · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.310948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90345d2-d1b0-462c-9b14-49de74ab4ccc · outbound

This paper cites Text2video-zero: Text-to-image diffusion models are zero-shot video generators.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Text2video-zero: Text-to-image diffusion models are zero-shot video generators

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:18.015879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf72edf6-0785-4f72-8c9e-10a2e351ee92 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.317958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 290e26b9-8ff6-43c0-ada4-d2130980bf9c · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.321272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf6ea88-7f3d-473c-98db-8daeaf0af1a1 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Aligning Text-to-Image Models using Human Feedback

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.324956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 9579da8f-f846-4c91-84c6-1b1559d92b32 · outbound

This paper cites an unresolved cited work.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.332358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80cabdce-42f1-4842-bbbe-f9b87b4f4220 · outbound

This paper cites Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.335567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20643f3-bd49-4963-8475-adfa24984a24 · outbound

This paper cites Training diffusion models towards diverse image generation with reinforcement learning.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Training diffusion models towards diverse image generation with reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.998359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 092329e7-6779-4fc7-b795-96716892445d · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.342550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c94f1892-48bb-460f-8567-a32f4cd29ebc · outbound

This paper cites GPT-4 Technical Report.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models GPT-4 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.346201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb54f3f0-f509-4844-a63a-e9f8678a61ed · outbound

This paper cites L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.987745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4891e545-c561-4147-b1d1-866eb9da518e · outbound

This paper cites L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.976260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 463148d6-1883-4822-b165-b519192fe8ae · outbound

This paper cites and Xie, S.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models and Xie, S

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.356423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b94478-f388-4ac6-80cc-a501d47f4708 · outbound

This paper cites SDXL: improving latent diffusion models for high-resolution image synthesis.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models SDXL: improving latent diffusion models for high-resolution image synthesis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.958648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ee32771-19e3-4a1e-8b84-ee6453f5bf6c · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models High-resolution image synthesis with latent diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.947151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da93ef58-bc8b-4450-a102-4989ded7d2f2 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models U-net: Convolutional networks for biomedical image segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.366845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a54d9d5-d202-4512-890d-61b9cf982b8d · outbound

This paper cites LAION-5B: an open large-scale dataset for training next generation image-text models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models LAION-5B: an open large-scale dataset for training next generation image-text models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.929516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2c659b3-a8b7-4766-bd25-9870c2910a2d · outbound

This paper cites A., Maheswaranathan, N., and Ganguli, S.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models A., Maheswaranathan, N., and Ganguli, S

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.918690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74c99577-e516-4fe2-a861-162206aba917 · outbound

This paper cites Denoising diffusion implicit models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Denoising diffusion implicit models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.377376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81da2080-a620-444a-93a4-19e85f845eb5 · outbound

This paper cites Consistency models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Consistency models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.899497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd1b764d-4f11-42f3-bc79-9d06f29c65a9 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.384105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8752b132-1c6b-4e5d-ad17-277fb32a4aee · outbound

This paper cites Diffusion model alignment using direct preference optimization.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Diffusion model alignment using direct preference optimization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.887636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b6d9d1b-668d-4bd5-9932-1cf822a576b5 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Diffusion model alignment using direct preference optimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.876517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d57ade5-7816-4cc7-800d-c48ab8671811 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models ModelScope Text-to-Video Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.394937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa090bd-7c97-4d66-a500-6a3906b8df0d · outbound

This paper cites RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.398677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d231b12-a8c4-46ee-b5e2-0186e4827714 · outbound

This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.402512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a0a4aa-c41d-4012-82b4-d9c5bb0410e9 · outbound

This paper cites A., Khashabi, D., and Hajishirzi, H.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models A., Khashabi, D., and Hajishirzi, H

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.865449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9cf16ff-c0b8-4e7a-a393-d939dc595ad5 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.409465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5551404b-fa29-4bb9-99ce-2a951dd855d8 · outbound

This paper cites Easyanimate: A high-performance long video generation method based on transformer architecture.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Easyanimate: A high-performance long video generation method based on transformer architecture

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.413483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac826ea7-c472-40d0-a0f3-b374c6d65701 · outbound

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

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.416856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e0eadc8-e38b-4b08-9360-074146c24f07 · outbound

This paper cites S., Eom, S., Han, G., Nam, D.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models S., Eom, S., Han, G., Nam, D

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.854512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 333f10b4-35ed-40bb-bb5a-faa9522fd818 · outbound

This paper cites Instructvideo: Instructing video diffusion models with human feedback.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Instructvideo: Instructing video diffusion models with human feedback

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:26:17.842663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0dc15b45-3499-4c62-8900-cadfb86ff712 · outbound

This paper cites Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:17.427689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 00c016e6-4207-42fb-87cc-2dd859cd3def · inbound

Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences cites this paper.

Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:14:04.744750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.