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Paper Citation Record · LEDGER

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation

As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2606.02553.

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

pith.paper-citation-record.v1
2606.02553 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:28:41.932618Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:35:28.291452Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

  • verified exact34
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d3e6021-0c23-4f91-8bf0-f9f35ddba501 · outbound

This paper cites NTK-aware scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation NTK-aware scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:fbe4ff4f2ffa14dab4a36d168ab653e68c4329d5475a4af9f36650014f00394b

Observation 52cef658-7141-48ba-a31a-9363fe5139e3 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Improving language models by retrieving from trillions of tokens

Reference 2

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:d31d7c30a3f871e327248527fe455547aeeb644ccf5057f6374f648c7c8dd63e

Observation 4412d5ee-a293-44b4-8a01-e3d117fd5cfc · outbound

This paper cites Video generation models as world simulators.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Video generation models as world simulators

Reference 3

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:9a3ed08220bbcacd1eb2d7a828bcc9dba69f6d1e9ce27890befb3534cf825c0d

Observation 76ea7b2d-061b-447e-bd57-a1417574e2c7 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Emerging properties in self-supervised vision transformers

Reference 4

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:fc7101bf4de199a97af8937ba062cc61fcaee4b21f7edbb1f32db5b1ee2bcdfb

Observation 7bbd7cae-0640-4113-a4e8-50ab58f39703 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125, 2024.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125, 2024

Reference 5

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:af7bb30643c6b6927fcf7fbf322da9a5947dced70224107d90022fa165b27567

Observation 07076cc2-4a57-4e48-8476-9e6888ff34b5 · outbound

This paper cites SkyReels-V2: Infinite-length Film Generative Model.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation SkyReels-V2: Infinite-length Film Generative Model

Reference 6

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local_arxiv, observed 2026-07-01T22:16:17.141108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:1034096192fde494ece9febabc2acf7c9740fabbce8d7d6860611892393edb29

Observation c12d6cb9-f039-43f5-9eda-743bf8870a06 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Extending Context Window of Large Language Models via Positional Interpolation

Reference 7

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local_arxiv, observed 2026-07-01T22:16:17.144791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:c22847603cf525164c65d84d17e5e0d294e8544b83a78085dcbc97f9aaf7b3fb

Observation 3205c2f5-0cf2-4cab-b2b1-3d622b880925 · outbound

This paper cites Context forcing: Consistent autoregressive video generation with long context.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Context forcing: Consistent autoregressive video generation with long context

Reference 8

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arxiv_id, observed 2026-07-01T22:16:17.147844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:fcc32454c8209a8ca3769cbb780891a23c00dbaf4ffdd21d4fec11bcbb019790

Observation d6ee7a8c-6af2-47d1-b308-2b9414b02590 · outbound

This paper cites Self-Forcing++: Towards Minute-Scale High-Quality Video Generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Reference 9

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local_arxiv, observed 2026-07-01T22:16:17.112255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:c148cafe6da4ed94017134dda1858b98d122a5fbc5ac03e62f5459508f20739a

Observation 2c77241c-8e69-4b63-9549-a658a2a1131a · outbound

This paper cites Lol: Longer than longer, scaling video generation to hour.arXiv preprint arXiv:2601.16914.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Lol: Longer than longer, scaling video generation to hour.arXiv preprint arXiv:2601.16914

Reference 10

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arxiv_id, observed 2026-07-01T22:16:17.132815Z

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:81fe6f87bdc2b1c24355a1c188c508ba9eeaa21978af628f3f1875d3be517d77

Observation 63f6e92c-5a0d-438d-86e3-736a7e07ff96 · outbound

This paper cites Autoregressive video generation without vector quantization.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Autoregressive video generation without vector quantization

Reference 11

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:962d548f305690f9f297d697791f774e2fd077ecf8a3ffe7dfe9bb8c910cf653

Observation 6bc5b93e-9961-4329-8318-a48907e7f88f · outbound

This paper cites A survey on long-video storytelling generation: architectures, consistency, and cinematic quality.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation A survey on long-video storytelling generation: architectures, consistency, and cinematic quality

Reference 12

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:197c957fc791cf3482700c61c3636cdfb514184f8d0b957ab6ec4e3701302206

Observation 80489691-48f7-4535-9150-2cfa8890d3d0 · outbound

This paper cites The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control

Reference 13

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arxiv_id, observed 2026-07-01T22:16:17.079292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:914075739a09dc6340f4869ee8c3a02892f0fcdd3a2b7d071e90eb988c0a636c

Observation 9852cca9-1e72-4c2e-9bd8-d7e2439428a6 · outbound

This paper cites Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs

Reference 14

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arxiv_id, observed 2026-07-01T22:16:17.070425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:6a3b747950f4daa19811f46dd0611801109a5a73ac7243a9c594d223415026b9

Observation 69451008-e05a-44aa-b6e4-64710dfa609b · outbound

This paper cites Gemini 3.1 pro model card, 2026.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Gemini 3.1 pro model card, 2026

Reference 15

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e2c732bae142b35b11d51f1d589a6df9adb43fc3dbef9f0b20cd1f6abbaf32d3

Observation b86baa7d-8b24-40cf-836f-e677c69f7aab · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 16

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local_arxiv, observed 2026-07-01T22:16:17.143850Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:794a07d50a7e8f680c51ec7cbcc4729c0e29a72e2a392e2a8b0d3a2c70d0211e

Observation 0e41924a-6680-4a59-8de1-c1b2933ecd42 · outbound

This paper cites REALM: Retrieval-augmented language model pre-training.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation REALM: Retrieval-augmented language model pre-training

Reference 17

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:9c7089bd7a043babcfeb71042e8a7f52aa31622d5bd9ba903c6ede406c4c9e4e

Observation bed88766-d6ee-4a3c-b263-17da861abe62 · outbound

This paper cites Streamingt2v: Consistent, dynamic, and extendable long video generation from text.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Streamingt2v: Consistent, dynamic, and extendable long video generation from text

Reference 18

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:a8e5cabe3ba458d6c408a2fa1d2ab1690523e8473aac6c16019139c3ce59fed8

Observation 195c101d-8c9a-46cf-8d6b-0d52246c9c65 · outbound

This paper cites Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:375cc55aeae627fe4641c2dd4dbd3c81f148209ae3ab41ce7b8ffd972c60fe8c

Observation b3b6776d-c386-40f6-858e-b8a00ba7ef8f · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation GAIA-1: A Generative World Model for Autonomous Driving

Reference 20

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:6733ccc24dfb25fa5cf1e29c59f15d9df07ae646b6d8f635d54cdf2073976c3b

Observation d5b2a3fd-29a2-458e-aedf-abb76efe81fc · outbound

This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Self forcing: Bridging the train-test gap in autoregressive video diffusion

Reference 21

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:00a98a77b5cace6e9cceed463cc8d0ddf2666cc473430606f3b73c30bf2bc345

Observation 9875fa49-c68a-4ae9-a5f9-40f27f638e80 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Vbench: Comprehensive benchmark suite for video generative models

Reference 22

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:50a2067f53912d5893a696d1e073b5d7a8968fc995dcf3f5626acc0f3f63c201

Observation 234e7e7a-5111-4295-b2b9-f3e9b8338406 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Pyramidal flow matching for efficient video generative modeling

Reference 23

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:a92b6c0c4cba8a65825c320e0eb84f46b9479bff44e270b286979c04fc1a9531

Observation c786bffa-61ca-400b-8d87-042e3a2ee519 · outbound

This paper cites an unresolved cited work.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Unresolved cited work

Reference 24

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:2a3b365937e13d5cb8c8dd7c2618abf34e7b16a753019928cdba7e0cad2bff75

Observation d538c445-a712-4944-9340-31ca06c634a7 · outbound

This paper cites Memrope: Training-free infinite video generation via evolving memory tokens.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Memrope: Training-free infinite video generation via evolving memory tokens

Reference 25

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arxiv_id, observed 2026-07-01T22:16:17.120998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:f8a1239f1e4a81bd018923037cf764eed129f0a6154e56309f2b3b34feb8529c

Observation 2b46ee52-210a-4d96-b279-87ee5e052abe · outbound

This paper cites Streamdit: Real-time streaming text-to-video generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Streamdit: Real-time streaming text-to-video generation

Reference 26

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arxiv_id, observed 2026-07-01T22:16:17.070863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e5675f6de597cfdd317da46319f3cef1a79a3698ee167b2daaec10f21f25e067

Observation 13e1c57a-b89f-40f4-bd48-fb8c092e4078 · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 27

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local_arxiv, observed 2026-07-01T22:16:17.064109Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:14744dc5ad30485e50f0f73c368f661fd9c393baef622b28e7430bfd6eec690d

Observation 32423705-8af1-41c2-86ec-a75e4d8bd551 · outbound

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

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 28

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local_arxiv, observed 2026-07-01T22:16:17.130087Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:c72efcb94e71b1d854cec2ce0c47686eb24f9545d501964295c66895a4ae9689

Observation d6530432-3135-4981-8bd3-4a9aaab76019 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 29

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:8cec49b97c358806f3bee2a06593a4cd2465ce0c1a634ecfe0928e8ea5b0b896

Observation e5089731-5cc9-439b-8081-92062c9cb6e2 · outbound

This paper cites Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion

Reference 30

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local_arxiv, observed 2026-07-01T22:16:17.165253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:c96d617e521eccb55395f6801e2677e7f8e3ef434dd86a6a920552cb6705f968

Observation 06b52ce3-d1a5-4042-b356-5e8ea3f2b046 · outbound

This paper cites Vmem: Consistent interactive video scene generation with surfel-indexed view memory.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Vmem: Consistent interactive video scene generation with surfel-indexed view memory

Reference 31

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:dbbd296b7274512d03aa4cc3a203f0192c9a3c405cb1ef9c80f4e81b09d176cc

Observation 7515b332-92ba-4166-81a0-c5ed3ba834c7 · outbound

This paper cites Snapkv: Llm knows what you are looking for before generation.Advances in Neural Information Processing Systems, 37:22947–22970, 2024.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Snapkv: Llm knows what you are looking for before generation.Advances in Neural Information Processing Systems, 37:22947–22970, 2024

Reference 32

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source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:59c1f7827f0738286209b9d68abe5f4583f71e057063f626d23d17ab6e22b362

Observation e66c6979-17b5-460a-9f4c-9a9821ba10a5 · outbound

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

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 33

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local_arxiv, observed 2026-07-01T22:16:17.133558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e5150e8c23ea3c883dc8c31d292cf16a729bb89ffd2463b4e0f86948768f0620

Observation 353a8dda-00f8-4e79-b8fd-d32c2947d49b · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 34

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local_arxiv, observed 2026-07-01T22:16:17.151698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:24bf300285db6c77f612bc8d96d8e35937c117c2b89629d9a8eb7ebfa445720e

Observation 2a247fad-3c42-4a5b-b4df-7d473c9a5a14 · outbound

This paper cites Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 35

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local_arxiv, observed 2026-07-01T22:16:17.128441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:bf8ec4999c59bf153e5b0bc66ddb154c00c706613096df9dbd18d1a848bdf358

Observation 3a070dbd-9382-4694-bdd4-e36f39c8fd02 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation YaRN: Efficient Context Window Extension of Large Language Models

Reference 36

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local_arxiv, observed 2026-07-01T22:16:17.154303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:314d3cc9ae2f268c558264b752445ca41dd54720eca0f6ef0bb84563f8bfa931

Observation 205c466a-6e56-4aed-a246-b428cd211a6a · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Movie Gen: A Cast of Media Foundation Models

Reference 37

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.157631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:8d0ad0f1e850b99d7f880318e915c58241169814e9cc4814d5cddda19877463f

Observation 2484aa0b-8ceb-46ea-9bdc-704030918d48 · outbound

This paper cites Qwen2.5 Technical Report.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Qwen2.5 Technical Report

Reference 38

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.146203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:84dd08f8ff31e2377817f5483a4a71023244f0df577fe49ece56c8d87d3ed00d

Observation 3968874c-7626-410a-9e7d-f568def196e7 · outbound

This paper cites Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 39

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metadata mismatch
arxiv_id, observed 2026-07-01T22:16:17.149223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:b1fb7a11ee235bb2932491011d18ad38982cd5f8665d5c5c3abb39352d90c016

Observation 78e9667e-542d-47f8-bebc-b5bccc38e8b8 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 40

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:df722621934fd1d99c4e216b30a9b0bb127355d068995a5ba5fedf085ba73439

Observation 50e736c1-5a78-473a-b622-6c51556a3f54 · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 41

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.108119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:c207a3405833557ec8aefa6362af7ce306a0295cd5497a8c08959394b1852454

Observation 62a04c9c-e0e7-441e-92b0-2e8a1f530cdb · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation MAGI-1: Autoregressive Video Generation at Scale

Reference 42

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.136015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:6ce8fedb4bb7805d833ae56f85a288ea8e848b2d9c112c2f368b8b8add1e7b12

Observation 65f4f353-c4e6-4953-a3ef-faee9d55eef1 · outbound

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

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 43

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.151989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:0effda211924b2d83b41a6ae4255288579650db18916dda1607471c8e363109d

Observation 83cedd67-c583-4531-9e50-cf8b21c2b556 · outbound

This paper cites D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Reference 44

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verified exact
arxiv_id, observed 2026-07-01T22:16:17.161728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e7875741e12865bf19ba1c8495d30ceda812511c5088df15155cd680902db309

Observation c0039755-7157-4b59-9cf4-21d9d84c1986 · outbound

This paper cites Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

Reference 45

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verified exact
arxiv_id, observed 2026-07-01T22:16:17.131178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:fd0c60fbefe37e29caba46cea902f956ecedf22a91732e1a648c8e570997cc94

Observation 474be210-0e44-4c82-a7c7-4feead2d7d2a · outbound

This paper cites Infinite-World: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Infinite-World: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:17.102369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:429d1978d096686ed2733638bea576347d461e075dbb1eb1500bbda3d77e80bd

Observation 3c0099a1-392f-428b-a268-a8995d82d437 · outbound

This paper cites Efficient streaming language models with attention sinks.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Efficient streaming language models with attention sinks

Reference 47

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:a339857db595ff7956bd2cdbc6361b37ae2ed149dfcd8493dfb53a74ae862a8a

Observation 2098fad8-8046-4a24-82ca-f73bc06a89a6 · outbound

This paper cites arXiv preprint arXiv:2504.12369 , year=.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation arXiv preprint arXiv:2504.12369 , year=

Reference 48

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arxiv_id, observed 2026-07-01T22:16:17.094632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:338554806f23be32a8bda18feb5b71c22e09b33fb67096e9b5bd252e91786cab

Observation 021f163c-3e27-4f4b-beb6-555c471ae691 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 49

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.091550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:97fe868b874edecafbaeff60d66cbb5332f54e4c764b3e21662671bd712adb87

Observation c2036fbb-d8cd-4a50-81eb-448c1308993c · outbound

This paper cites Longlive: Real-time interactive long video generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Longlive: Real-time interactive long video generation

Reference 50

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:43bd4e2b4738d07161376f3914a6389eabac0e171293a2c3fb7bcf9fd4c02017

Observation 3615e140-07ac-4f51-942d-c2fc360b85f2 · outbound

This paper cites StableWorld: Towards stable and consistent long interactive video generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation StableWorld: Towards stable and consistent long interactive video generation

Reference 51

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arxiv_id, observed 2026-07-01T22:16:17.117721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:899870a49bcda162bced505a83721f86e8a45de77e232ce06668ce4579370397

Observation 0252e0fe-45aa-4d8b-97bd-e95305c09d48 · outbound

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

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 52

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local_arxiv, observed 2026-07-01T22:16:17.138457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e12d0f6be66a475d5fbdb117a9f6fe0645a1969b321874f8f640bc365a6b7cbf

Observation d47a84b8-683a-4eeb-9dc7-24dd70658a2f · outbound

This paper cites Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout

Reference 53

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arxiv_id, observed 2026-07-01T22:16:17.109517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:30df7e71becada1dd0cb9f3db6aff1afb5982b5d178379c92302a17826d37443

Observation 076f6853-1a94-4aef-b1fd-b6a35b90d3f1 · outbound

This paper cites H., Nam, J., Yoon, H., and Kim, S.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation H., Nam, J., Yoon, H., and Kim, S

Reference 54

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metadata mismatch
arxiv_id, observed 2026-07-01T22:16:17.088439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:b512305df2b4af4cfc6bbdb87d4ba9c47406f4b0ff981e8aaa1a143f1d99e7fa

Observation 8e564fdc-b079-44cb-bf58-06136220abd0 · outbound

This paper cites One-step diffusion with distribution matching distillation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation One-step diffusion with distribution matching distillation

Reference 55

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:5e36a334e41668f3d976cd4a4fdf8ca453af3c39c5fcf0b6df5fadbf2cc626e0

Observation 8a8ffcc0-e24f-4c80-b72f-fbeedcf9f225 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation From slow bidirectional to fast autoregressive video diffusion models

Reference 56

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:96f78d08e3828be5c23d0c29126d6225bca61a50e84629e8c716481382314a57

Observation aec43290-26b0-4a6b-9600-31ddf46de92c · outbound

This paper cites Context as memory: Scene-consistent interactive long video generation with memory retrieval.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Context as memory: Scene-consistent interactive long video generation with memory retrieval

Reference 57

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:0b25b6f9173fa5928ce160eb7147d03265d5627fbd35a99b2e47ab5e8fd032e7

Observation 9db5a2ef-7254-426f-b283-fb76b2885a23 · outbound

This paper cites Magvit: Masked generative video transformer.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Magvit: Masked generative video transformer

Reference 58

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:8ce323256e24733aff2302a0195ab02b2d2d6c333c4f6534ad9b93aa16e7ec75

Observation 375c1ab6-7bb5-44cd-aef0-571619d81c86 · outbound

This paper cites Language model beats diffusion - tokenizer is key to visual generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Language model beats diffusion - tokenizer is key to visual generation

Reference 59

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e3ba1c99c068473b9d4fba49ae8757dc918e3daf01538e917070816812ba76c7

Observation ef9eff07-00a9-4632-a500-cebe76e20a12 · outbound

This paper cites Context as memory: Scene-consistent interactive long video generation with memory retrieval.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Context as memory: Scene-consistent interactive long video generation with memory retrieval

Reference 60

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verified exact
arxiv_id, observed 2026-07-01T22:16:17.110986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:1b986715aa05f4207dd8e649d84671d07ce6b0b2ee8b02eb7958842ac0544841

Observation 1ab2f700-39c6-4444-bb5d-3ea0d961b2ce · outbound

This paper cites Stargen: A spatiotemporal autoregression framework with video diffusion model for scalable and controllable scene generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Stargen: A spatiotemporal autoregression framework with video diffusion model for scalable and controllable scene generation

Reference 61

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:faa343133cf00f32efeca5c9889a43207bd5f1d228542bb0b12bcfc9e2104148

Observation 635d6e9e-5e2f-4c06-874d-0eb4c04d84c1 · outbound

This paper cites Packing input frame context in next-frame prediction models for video generation.arXiv e-prints, pages arXiv–2504, 2025.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Packing input frame context in next-frame prediction models for video generation.arXiv e-prints, pages arXiv–2504, 2025

Reference 62

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:bcc9280e0c5bb888bb4cf54351c738cf104946c94f0cb252cc63463dff3d49b8

Observation dc27a006-98f9-4ac3-8ae8-e01a88622b26 · outbound

This paper cites TinyHistory: Lightweight Video History Embeddings via Two-Stage Context Learning.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation TinyHistory: Lightweight Video History Embeddings via Two-Stage Context Learning

Reference 63

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verified exact
local_arxiv, observed 2026-07-01T22:16:17.123706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e346b55f00faa8e8d04aee73733a79b7ae8f0344d46b407d8ca1b067bed03267

Observation abd8b0aa-b40a-4a04-b0b3-d3f3ea216924 · outbound

This paper cites Cam: Cache merging for memory-efficient llms inference.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Cam: Cache merging for memory-efficient llms inference

Reference 64

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e4fa740acdb2681fe0917ba0dd62f30c0d349afe77aa9508af7e6bd89de2d715

Observation b36aa14f-9531-4077-8535-300251461a30 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710, 2023.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710, 2023

Reference 65

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:748bf89c9746f5533bf5021d7c338cdbcd034afaf39fc827af46252a7b329f67

Observation 5d51b3aa-d637-44ef-a252-95dea4e4bcc3 · outbound

This paper cites RIFLEx: A free lunch for length extrapolation in video diffusion transformers.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation RIFLEx: A free lunch for length extrapolation in video diffusion transformers

Reference 66

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no resolver link, observed 2026-06-28T15:28:41.932618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:e6343cc043bf25a6ac7d6ea58d825612ac3a4766c6557d7b3db2b8bf03bf76ed

Observation a9d67a86-6916-4d75-bb47-dc93e3f91934 · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 67

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metadata mismatch
local_arxiv, observed 2026-07-01T22:16:17.115138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:28:41.932618Z digest=sha256:3a2c5d5103764a1b7074826e8cb5c5bd1c176897c435c21b195a2791aa63de17

Pith citing papers

Observation b2054105-0632-461d-bee1-95985a34c4b3 · inbound

Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering cites this paper.

Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation

Reference 9

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no resolver link, observed 2026-08-01T06:35:28.291452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:35:28.291452Z digest=sha256:376b755eb3959363f6addf1bacc5c66af234c12e49f9b3faf264d3c12dd8899b