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Paper Citation Record · LEDGER

Optical-Flow Guided Prompt Optimization for Coherent Video Generation

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.15540.

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

pith.paper-citation-record.v1
2411.15540 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:14:36.422473Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef20e3ca-459a-49e5-afc5-39b4996417a3 · outbound

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

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Frozen in time: A joint video and image encoder for end-to- end retrieval

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fe0f7355-45ba-46b5-8a00-74ac546b45a1 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.220911Z digest=sha256:9ce2e2f3f41daa07fc5c232cf80d24718c399cb08c5051b8353ecd3c16844df4

Observation a330600c-ba08-4c63-8ca6-08fdae7c91e6 · outbound

This paper cites Videocrafter1: Open diffusion models for high-quality video generation, 2023.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Videocrafter1: Open diffusion models for high-quality video generation, 2023

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 8aa18fa9-c01c-4333-9fd0-38360e881382 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 89677acd-3abf-4bae-a010-ee4c28f9a8e6 · outbound

This paper cites UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control

Reference 5

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Unavailable: canonical work link unavailable.

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Observation 23b428e6-d7d4-4477-8dc2-1bf420f31b8b · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Diffusion posterior sampling for general noisy inverse problems

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7eb0c123-8002-4f38-bf09-0780d3f4b74a · outbound

This paper cites Prompt-tuning latent diffusion models for inverse problems.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Prompt-tuning latent diffusion models for inverse problems

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2fafe206-6e73-4dd4-aa58-19b6c86a137d · outbound

This paper cites Diffusion models beat GANs on image synthesis.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Diffusion models beat GANs on image synthesis

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 91603c54-d369-40cb-8040-ab57b1d501eb · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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Source-reported events for the cited work

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Observation f38d67d6-2815-4c09-9735-14ade8b43332 · outbound

This paper cites Tweedie’s formula and selection bias.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Tweedie’s formula and selection bias

Reference 10

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Source-reported events for the cited work

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Observation 6adb19a9-4886-4495-b8ec-8f07ed4fc667 · outbound

This paper cites Preserve your own correlation: A noise prior for video diffusion models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Preserve your own correlation: A noise prior for video diffusion models

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9b3c6a4-37d0-4158-a522-ed454786a98a · outbound

This paper cites Motion guidance: Diffusion-based image editing with differentiable motion esti- mators.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Motion guidance: Diffusion-based image editing with differentiable motion esti- mators

Reference 12

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raw_fallback, observed 2026-08-12T14:14:36.928131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f06eebc2-83a7-4f78-9306-f5a56c8a2d94 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d07f40a9-98e6-46b7-91c8-82feae34dd78 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 15

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Observation 8ee01ea4-52fa-40ba-8524-2169bcbc4efb · outbound

This paper cites Classifier-free diffusion guidance.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Classifier-free diffusion guidance

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.285293Z digest=sha256:023c204c5beb2d5f0b22ed4fa93514657aff929e834b414df0f60d6c5f514f55

Observation 3857eb4d-d259-46b6-83dc-995f065b3e7b · outbound

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

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 17

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no resolver link, observed 2026-08-12T14:14:36.290779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57c91e6d-1474-4ba1-8e13-7c80d74f780d · outbound

This paper cites VBench: Com- prehensive benchmark suite for video generative models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation VBench: Com- prehensive benchmark suite for video generative models

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.297093Z digest=sha256:d8dc4b55ec0a3368171c4be9886a9092b4befde6c8e90e46ddb59ecea4b28e17

Observation 5764065c-84d9-4851-b663-800abed3fa7f · outbound

This paper cites Dif- fusionclip: Text-guided diffusion models for robust image manipulation.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Dif- fusionclip: Text-guided diffusion models for robust image manipulation

Reference 19

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raw_fallback, observed 2026-08-12T14:14:36.852492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 70b590d9-a8c7-481c-8006-b7887bc7a91e · outbound

This paper cites DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation

Reference 20

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Observation 55dda684-e452-4c6d-977a-78bb9a4eec68 · outbound

This paper cites Videoguide: Improving video diffusion models without training through a teacher’s guide, 2024.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Videoguide: Improving video diffusion models without training through a teacher’s guide, 2024

Reference 21

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raw_fallback, observed 2026-08-12T14:14:36.831124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 61f0257c-8e22-40e2-9e1e-205de6d34eeb · outbound

This paper cites Flow-grounded spatial-temporal video prediction from still images.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Flow-grounded spatial-temporal video prediction from still images

Reference 23

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raw_fallback, observed 2026-08-12T14:14:36.814138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.321880Z digest=sha256:b0fd3577a0c6b7eaea60887b6dc7d51136b9448990aed62c0949cf605537ed93

Observation 23ec1a00-f704-4950-aadc-8dab86ff9026 · outbound

This paper cites FlowVid: Taming im- perfect optical flows for consistent video-to-video synthesis.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation FlowVid: Taming im- perfect optical flows for consistent video-to-video synthesis

Reference 24

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raw_fallback, observed 2026-08-12T14:14:36.795876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.327447Z digest=sha256:f5ead4a9bba8ec76d882be1487401d756463d084a93b1619caead6b4f20b318e

Observation 6c569827-a11a-4dc4-b46c-1f961fe1aa6c · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Conditional image-to-video gener- ation with latent flow diffusion models

Reference 25

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raw_fallback, observed 2026-08-12T14:14:36.777031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 55fcf83d-3923-4899-a50b-397701efaa1b · outbound

This paper cites Video Generation from Single Semantic Label Map.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Video Generation from Single Semantic Label Map

Reference 26

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local_arxiv, observed 2026-08-12T14:14:36.560430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4d843576-af69-427a-8883-b8f48f92189b · outbound

This paper cites Energy-based cross attention for bayesian context update in text-to-image diffusion models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Energy-based cross attention for bayesian context update in text-to-image diffusion models

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3a2adc8c-28fe-4f45-b7fb-ed9b0d987ce2 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88f91afc-6b5a-4953-9b56-6baed294f68f · outbound

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

Optical-Flow Guided Prompt Optimization for Coherent Video Generation High-resolution image synthesis with latent diffusion models

Reference 29

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raw_fallback, observed 2026-08-12T14:14:36.745658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 16a9f0a3-463a-4dfe-b6e4-b81bbb259a27 · outbound

This paper cites Animating arbitrary objects via deep motion transfer.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Animating arbitrary objects via deep motion transfer

Reference 30

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raw_fallback, observed 2026-08-12T14:14:36.727834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.358503Z digest=sha256:e9e9de1c610b65c25f721f6d051b5c084f1d0db2a2461f9586e3653f148dc3d5

Observation 7e7465d2-d5f1-4276-bc1a-eb9c59936a17 · outbound

This paper cites First order motion model for image animation.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation First order motion model for image animation

Reference 31

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raw_fallback, observed 2026-08-12T14:14:36.705392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.363873Z digest=sha256:4111062029f7d737134565bbe317d3b42b1ad3a55b391f635303b1aa1dea02e3

Observation 7db6c477-b8fe-4b5a-955f-357f18ec2967 · outbound

This paper cites Denoising Diffusion Implicit Models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Denoising Diffusion Implicit Models

Reference 32

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no resolver link, observed 2026-08-12T14:14:36.369157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.369157Z digest=sha256:929bf5e813c31fd7fdd2411f544ed33a18b1003ab233583798e087791616162f

Observation e29e317e-9566-436e-9375-b2739f6530a9 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Pseudoinverse-guided diffusion models for inverse problems

Reference 33

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no resolver link, observed 2026-08-12T14:14:36.373513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.373513Z digest=sha256:55241b8be7fb60959663ab811a4dfa0c35ad5d33a98751f54329610b78438866

Observation 4591e533-f746-48af-944d-645f521e7322 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Raft: Recurrent all-pairs field transforms for optical flow

Reference 34

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raw_fallback, observed 2026-08-12T14:14:36.665963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.379611Z digest=sha256:5002cc5686e299720598515bb2ddb6b7d61190987a0d8e2f793c22ac2458f27a

Observation fef4101b-632b-4eeb-8b44-8b139c526ea1 · outbound

This paper cites Minority-Focused Text-to-Image Generation via Prompt Optimization.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Minority-Focused Text-to-Image Generation via Prompt Optimization

Reference 35

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no resolver link, observed 2026-08-12T14:14:36.383381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.383381Z digest=sha256:ee216b97484dd791619be7218682e58b0b26745d1de517cd9009fba1f073a0ec

Observation 62280f86-f573-4f55-bc3e-bfec611a8dbd · outbound

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

Optical-Flow Guided Prompt Optimization for Coherent Video Generation LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 36

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no resolver link, observed 2026-08-12T14:14:36.388599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.388599Z digest=sha256:6bd94dbf86b5ab38b6ddf7999a0d26940291e8217bf9706fc93e134d419f70bf

Observation b58efbdc-0554-4c24-81f7-103d0bd23fd7 · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Chi, Quoc V Le, and Denny Zhou

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-12T14:14:36.652146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.393383Z digest=sha256:9e4719f6a6f34a01260f5902b936d57df4d003d0fbe8b9d3aa5e309e29353c7c

Observation 589a26f8-df9e-4fa3-9660-2d75fa30af58 · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:14:36.637884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.398424Z digest=sha256:1d77127a07b8a2b53e3c6986fb2cc7ca38a15f4da4f65592fed9d77719d5257a

Observation 552bd8d6-773e-4dac-a044-223c8a35a64a · outbound

This paper cites Freeinit: Bridging initialization gap in video diffusion models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Freeinit: Bridging initialization gap in video diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:14:36.623816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.403209Z digest=sha256:caa3d9bd673a224bdf17e561458af97da75643e169f7d0578612d07dc6f48dae

Observation 1d3ecd09-5312-4ca4-987f-f102c0818f63 · outbound

This paper cites Dynamicrafter: Animating open- domain images with video diffusion priors.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Dynamicrafter: Animating open- domain images with video diffusion priors

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T14:14:36.408694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.408694Z digest=sha256:b6137bf7ab95618219d8fae70a2a1c4bc97a7ed18d8c5c0029e4e1549e08c415

Observation dc79ba55-35e4-449a-baeb-0539be021851 · outbound

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

Optical-Flow Guided Prompt Optimization for Coherent Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T14:14:36.413011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:36.413011Z digest=sha256:07d1378aba15e914aa476cbef7bf95d7e27a240bdacbc324f32fef92119843c8

Observation 7cbdee40-bd17-49db-b552-cf3810e62632 · outbound

This paper cites Conditional prompt learning for vision-language models.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Conditional prompt learning for vision-language models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:14:36.603067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.417819Z digest=sha256:530d509bc66bceb47f6a4a372bfd5cc571f9db5a0aff96b4010ebb8191e3ce12

Observation 42595a99-0796-4f0e-b1ae-3099bddd088b · outbound

This paper cites Choose the more natural and smoothly moving video.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation Choose the more natural and smoothly moving video

Reference 43

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T14:14:36.589042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:14:36.422473Z digest=sha256:8e971b717b88b8fc1a51a19c6812844f5fe350ce4e0e2c7cafce5ef5a81adabb

Pith citing papers

No inbound Pith citation observations are available.