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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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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:e2c91e8e700faad676192737902a9eb6cec452908ca011cc78eb9516e9d2ca07

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:39.868218Z digest=sha256:ce07bba1cf2e582267f04d4afa2fdcbaa34c5bc8ca8ec4dd7dd90b07449abaf0

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:ead192383a7423fbc6ae364886ed8db9eca4d4a9432b49023b9637dfc146eb63

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T23:44:39.879025Z digest=sha256:6077ac0222107492e216534b63f06423934c2a9c193ca03fb7c625733dc63a49

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:39.884692Z digest=sha256:f7ce5e7a3bb43b8727ba3cd7233cbc924a4c1339eb8f09a33cf6d91ef4ec4b23

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=sha256:2b6fec0070a21f2d281d634971e6b0fb4224d606116ae4c0f88a02054898a94e

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:dca3803e1549a4ca0e9a4afdf2cf0fa580223fa5a3116ea1c80d100e3ee8d1be

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:c4983c7d4874e64a4bd6bd7df6c61a65db178c4237d630ade194c0fc60b9919a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:40.000257Z digest=sha256:8c639271044ff836aa18b2395a3aaa52c0b9b7af3a7c858b3c24d2d63fee06ad

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:d0988838cda472b0a974460b36f14ff8904c91135b3f98de05aa46a391aedb96

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=pdf_text observed=2026-08-07T23:44:40.010131Z digest=sha256:a149ee79deb37c6c6bc79ad76ada6da4fac4a840655ee608c52064f97b2cdd90

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:e08f5ad1458c2305a046922207570f7d5f914fb9f04f370121232efd6c5dc792

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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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=sha256:2fbd3f49723648acd2300ce10adca791ae59b6fc714874a7da24257b99ae9a9f

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=sha256:476624cc624c1422bddf94777b227bd3429d273f8048310c0aa7d631cd9e19d2

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=sha256:0c5343f6c6a571cad5a087b285a52f683d4600c9479c3c4e2c94ddef5a056629

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=sha256:6a149d57823e691789f4918ad1357d4bb353d0d8ccffb9f77e498e33a691da6a

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:b1ca1278a4602e5dec9805a8434370cbaf0ffc8891c6ee2f282744aa218311df

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=sha256:257407531c715da0321896810896e09711cbeb814a06d99a4538ecdff7dd3296

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=sha256:32539e1798f7a68d0ba4a46e06e0a40214333bc66900d7d63d9299a79e7c5467

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=sha256:72c3f6d92ff96b97c423c3793f10ea5570533b6b7d90cdb373f62ea95481e6e1

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:a39dc9e5ee09f6cbc271f8328ed837d7dfcd06bbabecd825b7a84c0ff0d35f97

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=sha256:4f082b1abaf5463ff1b88fa138393ad6ae06be54c83a1615f6d3e474a7d50f6c

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:ff3cfe0cd5a95586cdce6b5b61b0321667244ee234ff03e3eabcf039de8f00ca

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=sha256:33f248d127f7fee8b70416aa0c3bdf7ab0d29c916c140f180665da055992b0aa

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=sha256:807932742b4059e549f426f770f4dc1d336b150c4dc16b70ec40bd9213ff58c8

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=sha256:272f37e59be0592f88127552c6a5dd74ad1eb643bbefae0e2acb432f3dc0279a

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:ca51ace6b47616fa2317f5906a6be8511e01a5b51d31310c20095c1aeaa6e0c2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:39.889969Z digest=sha256:dd6c2d5adf889bcbafd571aaf2c5accfb374a922d0e4bbab626721255da32c5c

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:d1d42b86ca52f75ed680707c01e41d7a0664fe5d2490d14c3c3dbf411f7323a5

Pith citing papers

No inbound Pith citation observations are available.