Paper Citation Record · LEDGER

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2605.30090.

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

pith.paper-citation-record.v1
2605.30090 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:00:47.144439Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:47:57.910030Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact12
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier2
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21de5c7f-7246-4d24-b562-bf980ed49cd8 · outbound

This paper cites Kimi large language model.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Kimi large language model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89099676-9a28-45aa-946e-0d834f5b0652 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:13.616634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09466ef0-99b8-4e95-9c9d-59fc9ebcf7dc · outbound

This paper cites The opencv library.Dr.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation The opencv library.Dr

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c7a45e2-ad83-4db2-8df4-c8329ad3dfa7 · outbound

This paper cites Pyscenedetect: Intelligent scene cut detection and video splitting tool.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Pyscenedetect: Intelligent scene cut detection and video splitting tool

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 158304ac-fae6-41f2-b36d-d80fee33c712 · outbound

This paper cites Seed 2.0: Bytedance foundation model.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Seed 2.0: Bytedance foundation model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a55a4fd-2c99-4a5b-906d-5ad651ca90d7 · outbound

This paper cites Out of time: Automated lip sync in the wild.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Out of time: Automated lip sync in the wild

Reference 6

Resolution: verified exact; doi, observed 2026-06-29T08:03:13.601142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a598295a-6615-4459-a517-3da946f4b4e8 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation GLM-5: from Vibe Coding to Agentic Engineering

Reference 7

Resolution: malformed identifier; local_arxiv, observed 2026-06-29T08:03:13.613689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0633c586-491d-49c8-bbe3-6ee7a5ab3cce · outbound

This paper cites A Survey on LLM-as-a-Judge.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation A Survey on LLM-as-a-Judge

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:13.592756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed5d2f1a-1d87-415e-bc8a-419c51ff7865 · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 9

Resolution: malformed identifier; arxiv_id, observed 2026-06-29T08:03:13.979916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b3a3416-45f0-4400-b1eb-2f9b44bcf8da · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a620480-72d7-43c3-beb0-b90d0bc253e8 · outbound

This paper cites Vimax: Agentic video generation.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Vimax: Agentic video generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78fd8b0-5b36-47b6-a394-655aba43ce39 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Emogen: Emotional image content generation with text-to-image diffusion models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:13.578680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c367aa8b-737e-404e-93c5-9e332b8d37ab · outbound

This paper cites VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactions on Pattern Analysis and Machine Intelligence.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.566523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7530070-428c-4132-8239-1cb2ef3a7a63 · outbound

This paper cites Videopoet: A large language model for zero-shot video generation.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Videopoet: A large language model for zero-shot video generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bb11fdd-d4b4-4093-b0ad-32ecc0ed2f26 · outbound

This paper cites Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:13.982149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2043f72e-7ac8-4042-8958-656b9e62f954 · outbound

This paper cites Video shot boundary detection based on color histogram.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Video shot boundary detection based on color histogram

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2da2795-77d3-4f23-9d68-06501e1c9c78 · outbound

This paper cites an unresolved cited work.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88c4da9a-5afb-49d9-b184-a8a56e32a60b · outbound

This paper cites and McVicar, Matt and Battenberg, Eric and Nieto, Oriol , title =.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation and McVicar, Matt and Battenberg, Eric and Nieto, Oriol , title =

Reference 18

Resolution: metadata mismatch; doi, observed 2026-06-29T08:03:13.609716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18f3878f-6566-4797-8879-5108a9347d22 · outbound

This paper cites Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, et al.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, et al

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:13.603775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29dc082b-58d1-4bc7-91b8-9259afa871e9 · outbound

This paper cites Minimax m2.7 model.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Minimax m2.7 model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36034938-3aa8-41f0-ad29-6dcff8219302 · outbound

This paper cites GPT-4 Technical Report.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation GPT-4 Technical Report

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:13.592466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c818b98b-cd4e-4061-badd-9a646fea28bd · outbound

This paper cites Video generation models as world simulators.OpenAI TechnicalReport, 2024.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Video generation models as world simulators.OpenAI TechnicalReport, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d7fa2f-2238-42cd-a960-9ca2d61ab926 · outbound

This paper cites Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:13.595934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd77adc6-8d70-4e09-b6c4-1f65939e14f2 · outbound

This paper cites Dreambench++: A human-aligned benchmark for personalized image generation.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Dreambench++: A human-aligned benchmark for personalized image generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a2aeb6-7caa-48ce-afc0-210882b29510 · outbound

This paper cites Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks

Reference 25

Resolution: verified exact; doi, observed 2026-06-29T08:03:13.575655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f96e171-4caf-43c5-bbfe-d498e4cca62f · outbound

This paper cites Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d911d5d-48ea-4bdd-99e4-dbf95fbd8476 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Make-a-video: Text-to-video generation without text-video data

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806adda9-59b0-49a5-8c09-697a45dbfb5c · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Make-a-video: Text-to-video generation without text-video data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1b4a59-8920-4e01-ae33-a85cf2702343 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:13.977218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02c44848-5a0e-4006-99d5-7bf919650659 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Phenaki: Variable length video generation from open domain textual descriptions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f53b265c-802a-4f37-94e0-6e2e629652d9 · outbound

This paper cites Mavis: A multi-agent framework for long-sequence video storytelling.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Mavis: A multi-agent framework for long-sequence video storytelling

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T08:00:47.144439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d908a9-095a-4c93-b5cf-7f8e86d5c5fb · outbound

This paper cites Bovik, Hamid R.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Bovik, Hamid R

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.585497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbe3e52d-4d06-44e3-b48e-8e0ed46c7d81 · outbound

This paper cites arXiv preprint arXiv:2510.22431 , year=.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation arXiv preprint arXiv:2510.22431 , year=

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:13.598834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3588181a-eb65-469d-85b9-42ce32fc6c79 · outbound

This paper cites Learning to detect motion boundaries.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Learning to detect motion boundaries

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.600792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1aef313-fad0-4286-a704-efae258635d9 · outbound

This paper cites Automated Movie Generation via Multi-Agent CoT Planning.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Automated Movie Generation via Multi-Agent CoT Planning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.589380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation acfb28a7-559f-4de8-ab6d-997f7d0bf019 · outbound

This paper cites Understanding human preferences: Towards more personalized video to text generation.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Understanding human preferences: Towards more personalized video to text generation

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:13.568119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6377c2b1-d48f-4bc8-a207-724d9e003482 · outbound

This paper cites Lumosx: Relate any identities with their attributes for personalized video generation.CoRR, abs/2603.20192, 2026.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Lumosx: Relate any identities with their attributes for personalized video generation.CoRR, abs/2603.20192, 2026

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.564258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 422b1f83-c561-4a74-9e9c-c4a5b0099dd4 · outbound

This paper cites MobileViCLIP: An Efficient Video-Text Model for Mobile Devices.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation MobileViCLIP: An Efficient Video-Text Model for Mobile Devices

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.577866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77964db8-ffa5-477a-a3c7-3e178f32fe9f · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:13.607331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 31342146-3dac-4bc3-96fd-3af25ff9da09 · inbound

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation cites this paper.

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-30T23:47:57.910030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.