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Paper Citation Record · LEDGER

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.05776.

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

pith.paper-citation-record.v1
2608.05776 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:44:40.081765Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

29 of 29 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8c3317f-d222-45e2-a8e1-14844feb5ea7 · outbound

This paper cites Towards Error-Free Long Video Generation.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Towards Error-Free Long Video Generation

Reference 1

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verified exact
local_arxiv, observed 2026-08-07T23:44:42.735787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:39.849925Z digest=sha256:a886181984f5049eb08907732fd8524d21c04041ac75a8dacdc4de7574e5cbea

Observation 097a62c3-a92d-48d6-8d7c-304eb1a9e39d · outbound

This paper cites Avatarforcing: One- step streaming talking avatars via local-future sliding-window denoising.arXiv preprint arXiv:2603.14331,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Avatarforcing: One- step streaming talking avatars via local-future sliding-window denoising.arXiv preprint arXiv:2603.14331,

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:39.868218Z digest=sha256:cfbdbef4b7a9b47b520bc2dade3b10b181a023b5f52b7559c4e7deb4c0a642f7

Observation 1da0607f-4214-484c-b68e-79d1b4ab2f62 · outbound

This paper cites Dreamid-omni: Unified framework for controllable human-centric audio-video generation.arXiv preprint arXiv:2602.12160,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Dreamid-omni: Unified framework for controllable human-centric audio-video generation.arXiv preprint arXiv:2602.12160,

Reference 5

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source=pdf_text observed=2026-08-07T23:44:39.873464Z digest=sha256:1e1af151ad540e81a888d7010793571942b011dddb1e62597e9c6c91af6db39d

Observation f79588df-4aae-4004-b8a4-4d776be64733 · outbound

This paper cites UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:39.879025Z digest=sha256:0842714b28ca7d3faa96e2259e7e885b8fc695e63c4017ae3519143bdca7950a

Observation e1398963-9808-4c22-be92-6bfde189a6f6 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 7

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no resolver link, observed 2026-08-07T23:44:39.884692Z

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source=pdf_text observed=2026-08-07T23:44:39.884692Z digest=sha256:70cf7de0712ef2db509c3d5b09abfa885f13900330982fcfa2ba22748cb1da04

Observation 6283e165-43c4-42ab-9cec-b82064210575 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 9

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source=pdf_text observed=2026-08-07T23:44:39.894675Z digest=sha256:498e9fa3b55c0300f15a47421527795023d04c3adb160d845826ef97e46e08b9

Observation 1cba8373-83ad-4b7d-984c-61f3778d2e5b · outbound

This paper cites Stable video infinity: Infinite- length video generation with error recycling.arXiv preprint arXiv:2510.09212,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Stable video infinity: Infinite- length video generation with error recycling.arXiv preprint arXiv:2510.09212,

Reference 10

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source=pdf_text observed=2026-08-07T23:44:39.899710Z digest=sha256:7072b330170e3e586f9a0c2de2009444e508103a60c3aa0f8b57c970ac82cebd

Observation 0cfb0aa9-76aa-4722-ab42-98f407aaa3a9 · outbound

This paper cites Rolling Forcing: Autoregressive Long Video Diffusion in Real Time.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 11

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source=pdf_text observed=2026-08-07T23:44:39.994931Z digest=sha256:bdd72b85eb5482203db9ec8f669aa6084f3168f2280a4cc5566b5b619c1f6bd5

Observation f778ec24-1694-4f99-907b-96eb73c630e6 · outbound

This paper cites Filmweaver: Weaving consistent multi-shot videos with cache-guided autoregressive diffusion.arXiv preprint arXiv:2512.11274,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Filmweaver: Weaving consistent multi-shot videos with cache-guided autoregressive diffusion.arXiv preprint arXiv:2512.11274,

Reference 12

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no resolver link, observed 2026-08-07T23:44:40.000257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:40.000257Z digest=sha256:96a2301e911e591e7fb614bbdc7f5f399614fce138bbc707aaa55d47fd53ef86

Observation d29496a6-a2fe-4b15-be2c-3e6c6c8fa5b6 · outbound

This paper cites Corruption-aware training of latent video diffusion models for robust text-to-video generation.arXiv preprint arXiv:2505.21545,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Corruption-aware training of latent video diffusion models for robust text-to-video generation.arXiv preprint arXiv:2505.21545,

Reference 13

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arxiv_id, observed 2026-08-07T23:44:41.598489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.005388Z digest=sha256:4ec45269414eb08ca01fb5183d3e3593c2b4f7d2938406a9a3c66c3239e5bb9f

Observation 8add9bc1-6923-40ec-a6ff-5b5a91138141 · outbound

This paper cites Holocine: Holistic generation of cinematic multi-shot long video narratives.arXiv preprint arXiv:2510.20822,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Holocine: Holistic generation of cinematic multi-shot long video narratives.arXiv preprint arXiv:2510.20822,

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T23:44:40.010131Z digest=sha256:06b82a49ea8232b10c4aa4cdb65847d283e59a14f5c4f8cb0420d4b397524ca1

Observation d01234ba-5349-4d88-9010-fd272c8b1459 · outbound

This paper cites TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted Alignment.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted Alignment

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:44:41.204214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.015028Z digest=sha256:c186e1c1ecfb4c3003a84f53f2017a3eb517f8d6c0218d9e1d8c5db04bb40015

Observation 6e6ce10f-f6ed-4617-9a38-43469fa7f1de · outbound

This paper cites FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching

Reference 16

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verified exact
local_arxiv, observed 2026-08-07T23:44:41.183002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.019669Z digest=sha256:5cdecf3608180d8008130499bd44f5a761c26ba0337e777cd39473e2e192b774

Observation fad09602-5a86-4cc5-88e9-2a28176cf0a3 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Wan: Open and Advanced Large-Scale Video Generative Models

Reference 18

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source=pdf_text observed=2026-08-07T23:44:40.028568Z digest=sha256:2f3948752952a2139d2fe94206bee728e4ff42d725dafc13becaad1dda5b55be

Observation f383f6e5-db75-4204-9598-2d96fb7733a5 · outbound

This paper cites Error analyses of auto-regressive video diffusion models: A unified framework.arXiv preprint arXiv:2503.10704,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Error analyses of auto-regressive video diffusion models: A unified framework.arXiv preprint arXiv:2503.10704,

Reference 19

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source=pdf_text observed=2026-08-07T23:44:40.033441Z digest=sha256:3f6882c07218fbb7ba55aae7b833cc865888affcb945e86d0b2832dd81d43f77

Observation fba1d459-0315-4e2a-829f-66e496828f60 · outbound

This paper cites Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 20

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source=pdf_text observed=2026-08-07T23:44:40.037787Z digest=sha256:b66c4f3a1a6262dd912b0997e230e8e0f28c67f99e894d18fb85456ead113c03

Observation 863009d0-fd96-4097-b3a4-51e5644c9cce · outbound

This paper cites Memento: Reconstructtorememberforconsistentlongvideogeneration.arXiv preprint arXiv:2606.14667,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Memento: Reconstructtorememberforconsistentlongvideogeneration.arXiv preprint arXiv:2606.14667,

Reference 21

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arxiv_id, observed 2026-08-07T23:44:40.937213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.042295Z digest=sha256:8422ee796c881b3ea43453f8f0eb7101475c3a0ef0ff3f67bd70ca62e532643d

Observation 177524fd-3dc5-4155-9699-1a2ec877dc94 · outbound

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

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 22

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source=pdf_text observed=2026-08-07T23:44:40.046808Z digest=sha256:a35eb1bf596d196090e10c7f2589197f54472902e4c9a152d29e3cc7a3748d29

Observation 715e7359-8241-4fe5-aaa5-e9fc87f25036 · outbound

This paper cites Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling

Reference 23

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verified exact
local_arxiv, observed 2026-08-07T23:44:40.863368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.051669Z digest=sha256:62d9959e2f3304072599b92adf770049fa0ba7142ca0ce23f70f452b1771d04d

Observation d060d691-11d1-400f-ada7-2bfc920facf9 · outbound

This paper cites Storymem: Multi-shot long video storytelling with memory.arXiv preprint arXiv:2512.19539,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Storymem: Multi-shot long video storytelling with memory.arXiv preprint arXiv:2512.19539,

Reference 24

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source=pdf_text observed=2026-08-07T23:44:40.056335Z digest=sha256:184200ec18545c909b3888c5041a830f09e51acd0edc52d2dce936a4ab1c3529

Observation c8416115-6cb9-40aa-add1-02282926e4aa · outbound

This paper cites Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

Reference 25

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local_arxiv, observed 2026-08-07T23:44:40.671641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.060768Z digest=sha256:c5183b1274d3494cdfdd5282346f6ee2b8f7adaddba283f8094d4195f21016ba

Observation 69a10cf1-ffec-4912-958d-235892799a66 · outbound

This paper cites Videomemory: Toward consistent video generation via memory integration.arXiv preprint arXiv:2601.03655,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Videomemory: Toward consistent video generation via memory integration.arXiv preprint arXiv:2601.03655,

Reference 26

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source=pdf_text observed=2026-08-07T23:44:40.065960Z digest=sha256:15453c8b6b66f7c4e914d66f469bd25101a75e13aff91b4654d3e3bb7f4e6bff

Observation 16d0520c-671e-4ea4-ac6d-bba9fcb9e1c5 · outbound

This paper cites StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 27

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source=pdf_text observed=2026-08-07T23:44:40.070996Z digest=sha256:a5ac66f274bdeea6d89031d0c8f22326f01244eac796eb21942140ec854cb563

Observation 8e765535-a09f-4e2b-a1aa-9d65310300ea · outbound

This paper cites Hiar: Efficient autoregressive long video generation via hierarchical denoising.arXiv preprint arXiv:2603.08703,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Hiar: Efficient autoregressive long video generation via hierarchical denoising.arXiv preprint arXiv:2603.08703,

Reference 28

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source=pdf_text observed=2026-08-07T23:44:40.076274Z digest=sha256:5f0f0f0e67172e5f69b2a834970d33d505e18432e3961fca428ae22621f52430

Observation 695cc153-0c11-430e-a961-97e899bc69d1 · outbound

This paper cites an unresolved cited work.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-07T23:44:42.777265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:44:40.081765Z digest=sha256:b9ef69d4235e9583dcbd372f9a997ed52794cd4b33788a0935c3445873e76975

Observation 32200680-72cf-4e7e-8026-cf40d5380ad9 · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Seedance 2.0: Advancing Video Generation for World Complexity

Reference 2023

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source=pdf_text observed=2026-08-07T23:44:40.024029Z digest=sha256:474f40e9f0f55035dcaedd43b4bdbe808bf49777d50ad1de622b1ab22c278b4c

Observation 7d7a1154-62e0-4fd3-a096-1a21b0697a0f · outbound

This paper cites CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation

Reference 2024

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source=pdf_text observed=2026-08-07T23:44:39.862992Z digest=sha256:fa2bcb1c6ff729a4b4abe335dd0110ba56f9f71680713168afd33f242d575d65

Observation 545c6e0d-cea8-457c-a382-6807dae50e28 · outbound

This paper cites Videoar: Autoregressive video generation via next-frame and scale prediction.arXiv preprint arXiv:2601.05966,.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Videoar: Autoregressive video generation via next-frame and scale prediction.arXiv preprint arXiv:2601.05966,

Reference 2025

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source=pdf_text observed=2026-08-07T23:44:39.889969Z digest=sha256:9da6c4950a2bf6ca47a2d34f7ae99b7fb1539395613fcaa9aebe6dcd107623c9

Observation aa87b2a8-e3f7-4f79-9d51-0c3b56b03035 · outbound

This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Reference 2026

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source=pdf_text observed=2026-08-07T23:44:39.856585Z digest=sha256:3f4c0233f87c8533dd11d14beeb4a353752d6b542d177480299f62bcbdb6a40e

Pith citing papers

No inbound Pith citation observations are available.