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Paper Citation Record · LEDGER

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2505.08350.

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

pith.paper-citation-record.v1
2505.08350 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:01:25.443768Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:23.548609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:16:56.696273Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12db623b-ec49-4989-b8fe-60dcceaa9f10 · outbound

This paper cites Long Context Tuning for Video Generation.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Long Context Tuning for Video Generation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.329102Z digest=sha256:d05f792c6181e0ab760ca5149e1ba7b70fc11a1cfbed9ac7a4ebfe4c6d45b5ba

Observation a5720d9c-97b0-4e5c-980d-371a742d5e18 · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 2

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:01:25.333753Z digest=sha256:7e6a5ac383e131c5756913e0b716b1e6492feb9e8e31da494344472b17eee090

Observation cb718857-4630-4104-adc0-684d8a6fe5c1 · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 3

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source=pdf_text observed=2026-08-15T22:01:25.337870Z digest=sha256:146a6818997aeaac44bfc38fe573808f3f57ebfdbeb2d046e8fe3c6f8a75a3f2

Observation a8d7c03e-c7b6-43f4-b88a-d113ead7cc7a · outbound

This paper cites History-Guided Video Diffusion.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives History-Guided Video Diffusion

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.342341Z digest=sha256:a6ac824aedc21c7cafc18bb750518f9787e7b4cc6531af5d3a2f956754db6a72

Observation eb268196-a18c-4c5a-a63b-bdac5eea0f94 · outbound

This paper cites From slow bidirectional to fast causal video generators.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives From slow bidirectional to fast causal video generators

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.346917Z digest=sha256:a6523fa046f7ce667a69fa71e87549790f5e362c9e3875ec4142851329ed9639

Observation 31a1f58b-b022-40c9-9ca9-e2d825a53226 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives In-Context LoRA for Diffusion Transformers

Reference 6

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no resolver link, observed 2026-08-15T22:01:25.350823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.350823Z digest=sha256:95d720b39e50355a8b0f27dde0ea6eeddc70390fd5560d984a1f04f36d61c04f

Observation 2eddf183-3611-4b57-a3e9-741c9de86dde · outbound

This paper cites Storydiffusion: Consistent self-attention for long-range image and video generation, 2024.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Storydiffusion: Consistent self-attention for long-range image and video generation, 2024

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.965243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.355057Z digest=sha256:27845c4328ebce079467bcf0f85fd81b9695f89d065181f24cf7cfbdf2c573af

Observation 9dbea5f3-ac70-4ad2-a64d-415f3d1191b4 · outbound

This paper cites Videogen-of-thought: Step-by-step generating multi-shot video with minimal manual intervention, 2025.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Videogen-of-thought: Step-by-step generating multi-shot video with minimal manual intervention, 2025

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.952378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.358686Z digest=sha256:46b9d3d45155ae7555a578838eed15b1a2f9a7b66aec110c70c830f9d831cf9a

Observation 53292a19-4b2d-452c-80c1-39526f29f735 · outbound

This paper cites One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 9

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no resolver link, observed 2026-08-15T22:01:25.362119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.362119Z digest=sha256:dcd789bee4d846d4f25e77aadc4c0f03682e76798bb7f7711c7b7d52caea08c7

Observation 6b7ea33b-ba7f-45db-9b0d-202216cdf9dc · outbound

This paper cites Fast, intelligent, flexible gpt model.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Fast, intelligent, flexible gpt model

Reference 10

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raw_fallback, observed 2026-08-15T22:01:25.940997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.365677Z digest=sha256:20350facc2f77289cc19792cf7aff2362b0e4fdf46075b0f295f439af6c1effc

Observation 04f68bf8-5595-4371-b336-e27375dd9e69 · outbound

This paper cites Step-video-t2v technical report: The practice, challenges, and future of video foundation model, 2025.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Step-video-t2v technical report: The practice, challenges, and future of video foundation model, 2025

Reference 11

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raw_fallback, observed 2026-08-15T22:01:25.930785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.369101Z digest=sha256:b1250592db91aa0301578c47f139f18a8bbd05f894a0eeca9c211e9646ab0b21

Observation 120ff5b6-fbf7-477b-89b0-1dc409befae4 · outbound

This paper cites Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.372686Z digest=sha256:9fe0fd8f18c9dbbe4208d04edfec1e2253f466be45640e83bc71687cb0210979

Observation 3749350b-fe79-45c2-baa5-6f281cfb46da · outbound

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

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives LLaMA: Open and Efficient Foundation Language Models

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.376195Z digest=sha256:dce7b34bb1916c27f9dc95fb6303420557ebaee569307dba91159ebb6f4eee08

Observation c05f3262-e911-4c0c-bdfb-f44054d5404f · outbound

This paper cites Visual instruction tuning.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Visual instruction tuning

Reference 14

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no resolver link, observed 2026-08-15T22:01:25.379452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.379452Z digest=sha256:9ca5994f24a8f5f4d6a0b4992c54d334e05453ff877853b72fc70a08f4698f2f

Observation 50bd8792-04c6-409b-95a3-be8678d5be54 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 15

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no resolver link, observed 2026-08-15T22:01:25.382703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.382703Z digest=sha256:ddfbd496e2f81c7b49ef2bb89a90eee2d4bc8f93c04b193ebbcd46e53f6ba835

Observation fc375295-8433-47f1-a368-9fc64da98639 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.386670Z digest=sha256:aa60fd2dee617d547b4c3af34e0199099ebd26d1bcd46a06e91c162358c8cd37

Observation 0dc8cb53-544d-48cd-98fc-a5caef7a0da1 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 17

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source=pdf_text observed=2026-08-15T22:01:25.390644Z digest=sha256:85ee3cd226b0ae5320afd11f7ac3f8531ec9efc95269544c3c0a44058ee30ffa

Observation 3699ee83-f2a6-4220-9757-7396d850f77e · outbound

This paper cites Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Kosmos-G: Generating Images in Context with Multimodal Large Language Models

Reference 18

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source=pdf_text observed=2026-08-15T22:01:25.394183Z digest=sha256:ba6efd02ec05dabef9762d432a23df72b092cc63ed67dac21b4171cbebcde7c6

Observation fadfa3da-184c-48c1-8138-0a5a47f396e1 · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Emu: Generative Pretraining in Multimodality

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.398003Z digest=sha256:310ee5a7c4af3263388dbf076b8ed9201fc143d9fb1e4a2317a79b4b2f906168

Observation f4c61a43-2a75-4869-ad87-0e735a824636 · outbound

This paper cites Pikaframes ai.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Pikaframes ai

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.906413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.401942Z digest=sha256:1db91c0b181e4d044402d98fe9471f012e3443afb04548f3292c6278a8d1084f

Observation 2d7b4861-52f9-4b63-aa62-4efb6faae39c · outbound

This paper cites Generative pre-trained autoregressive diffusion transformer, 2025.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Generative pre-trained autoregressive diffusion transformer, 2025

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.894760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.405501Z digest=sha256:8173a33f936ff824373a3b42d94665a18d2744dfd4788670c1c482d9d72350a6

Observation 9998ee21-045e-4f95-92fb-0f9172470162 · outbound

This paper cites Video generation models as world simulators.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Video generation models as world simulators

Reference 22

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source=pdf_text observed=2026-08-15T22:01:25.408955Z digest=sha256:e794537a97b6f1b06b87b16e684e71ad5d188e89f6f8229f57de34bd98cbde1a

Observation 534890df-4701-4b4f-9293-d49875a26f4c · outbound

This paper cites an unresolved cited work.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.412186Z digest=sha256:38c02d87c6fe86830af47f6bbeb80bdada230b82c480dd0817d7766a8483e6a8

Observation be4a63c4-424e-4baf-924e-f68f52164551 · outbound

This paper cites Gen-3 alpha.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Gen-3 alpha

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.415352Z digest=sha256:5f99809fe858a7df7bcab0020abb45a9fb346e6c2172eec6be7976a64dae4e5f

Observation 6802ca47-a568-45c7-9b75-b79b7abde649 · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models, 2025.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Hunyuanvideo: A systematic framework for large video generative models, 2025

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.859892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.418574Z digest=sha256:1246eee451fdc16071305ad38f4f71f2db93a977a3d4c02f75f5927b7f3ab837

Observation ea940d9b-68ff-4623-952a-db5c8ab5141b · outbound

This paper cites Wan: Open and advanced large-scale video generative models, 2025.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Wan: Open and advanced large-scale video generative models, 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.848614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.421852Z digest=sha256:4ceb0e0d9bce99b0c5144dde5650f707b31d26e70f4edf65b84992c104a5dead

Observation 34e708b3-0ede-456f-a92a-93681b24d22c · outbound

This paper cites Moviedreamer: Hierarchical generation for coherent long visual sequence.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Moviedreamer: Hierarchical generation for coherent long visual sequence

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.425295Z digest=sha256:e20a6eebd518d6d09311b79ae8731cd41ff0b45edc81b665a4a09786f42c10e1

Observation f9e79e2a-1f24-4b77-9e54-95d34fb65ec2 · outbound

This paper cites Videogen-of-thought: A collaborative framework for multi-shot video generation.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Videogen-of-thought: A collaborative framework for multi-shot video generation

Reference 28

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no resolver link, observed 2026-08-15T22:01:25.429845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.429845Z digest=sha256:c0d6f9c8153a482f0bb16a1630f6d9d88b05b062a48a6b41fea163c310180ec9

Observation 49a57fd5-1cdc-4fd2-aca7-5d5d4c86b60a · outbound

This paper cites an unresolved cited work.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.433352Z digest=sha256:63f68b9eedf17299c3d280d811e872e2d3484eb1ce0a0ad2dde3f5baa8f5bb85

Observation dbc3a2a7-d984-4359-a2b9-4c42c193fb79 · outbound

This paper cites Mind the Time: Temporally-Controlled Multi-Event Video Generation.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Mind the Time: Temporally-Controlled Multi-Event Video Generation

Reference 30

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no resolver link, observed 2026-08-15T22:01:25.436966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.436966Z digest=sha256:1f0e7d6be7ea23de778639cb589df9e95f7bcf4f6d2356f669242ad14fb214de

Observation 85bdbc0f-090c-4242-b9a2-793e5cf36186 · outbound

This paper cites Condensed movies: Story based retrieval with contextual embeddings.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Condensed movies: Story based retrieval with contextual embeddings

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.829913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.440587Z digest=sha256:bee488457e1fef18321a7ca0ac19e4550d99c4b145c169fb432e3c79de6fd71a

Observation b9c1e44d-e055-470f-9e86-644b65f3ac65 · outbound

This paper cites Step-video-ti2v technical report: A state-of-the-art text-driven image-to- video generation model, 2025.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives Step-video-ti2v technical report: A state-of-the-art text-driven image-to- video generation model, 2025

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:25.817308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:01:25.443768Z digest=sha256:f3e29bbd6ad9ac25574c30db88b44b4ab1e1b36ca93ba488eb0d277e1d17e0ed

Pith citing papers

Observation f999d2fb-6d40-4027-9760-581b287740b2 · inbound

Frame-Level Captions for Long Video Generation with Complex Multi Scenes cites this paper.

Frame-Level Captions for Long Video Generation with Complex Multi Scenes STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives

Reference 33

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no resolver link, observed 2026-08-07T13:52:23.548609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:23.548609Z digest=sha256:c595350e138928de2dc9cc5f3965a031f9b108441a8997ccac5b1c2285a40a65

Observation 09e5644b-b120-479a-bd69-beb1d3ff8a6b · inbound

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior cites this paper.

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:21:55.026070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T07:21:45.633310Z digest=sha256:f95d9206c69e3a718bd0692c6f6426655aecff9c9790841deeb75452524182e9

Observation 6a1f464a-6ced-410a-834d-b995f3bd1ef1 · inbound

V2V-Bench: A Comprehensive Benchmark for Video-to-Video Generation Evaluation cites this paper.

V2V-Bench: A Comprehensive Benchmark for Video-to-Video Generation Evaluation STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:16:56.698075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T02:20:05.748127Z digest=sha256:59ce74dff54ee3ad70c374bd4d7336eeb82ec4a2db8cba3e442652d16bfe9dc3