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Paper Citation Record · LEDGER

Addressable Memory for Video World Models

As of 10 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 0 inbound Pith citation observations for arXiv:2608.07408.

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

pith.paper-citation-record.v1
2608.07408 v1

Coverage vector

measured 100 of 120 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:06:52.022607Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

100 of 120 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91dddf21-8cd7-473a-a03a-66e3ae65cbcf · outbound

This paper cites Cosmos 3: Omnimodal World Models for Physical AI.

Addressable Memory for Video World Models Cosmos 3: Omnimodal World Models for Physical AI

Reference 1

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source=pdf_text observed=2026-08-10T05:06:51.699806Z digest=sha256:18c2e015a45c22162370aed6ac7a1c70623643ab3434bf1c372bf8592c12e8d5

Observation 7528a57e-f4fd-4f91-afb6-ee3666f0aa7e · outbound

This paper cites Round and Round We Go! What makes Rotary Positional Encodings useful?.

Addressable Memory for Video World Models Round and Round We Go! What makes Rotary Positional Encodings useful?

Reference 2

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source=pdf_text observed=2026-08-10T05:06:51.704237Z digest=sha256:9015e93acb785eb2b3b9d33fb288ac8ab8985a74a76b0b53e7ee151c0a4015a2

Observation a8f3e74f-95e1-41ce-9902-adf2a33ca7dc · outbound

This paper cites NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation.

Addressable Memory for Video World Models NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

Reference 3

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local_arxiv, observed 2026-08-10T05:06:56.404991Z

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source=pdf_text observed=2026-08-10T05:06:51.707884Z digest=sha256:c72cbb36be79c1cd2303ff111e995f96864bdca0f0ac50d7f64496d6f3dc8404

Observation 5d95ce7c-d24c-4c40-9d2a-26901cf9f142 · outbound

This paper cites Longformer: The Long-Document Transformer.

Addressable Memory for Video World Models Longformer: The Long-Document Transformer

Reference 4

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source=pdf_text observed=2026-08-10T05:06:51.711233Z digest=sha256:abcbc506bbdd93d6b5cd644acd3b358c78de39fe0d441e5dc772e77f79dc09b0

Observation c47d67ba-feee-4af2-ab43-c0b46352b11f · outbound

This paper cites Variance Reduction for Expectations with Diffusion Teachers.

Addressable Memory for Video World Models Variance Reduction for Expectations with Diffusion Teachers

Reference 5

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local_arxiv, observed 2026-08-10T05:06:56.381256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T05:06:51.714636Z digest=sha256:bd5bfdbb2acbf944e8d484c94be16df5ce61360ed8dcf7f6f18c33ceafb73796

Observation d29b49ed-1b39-413e-a48e-73f7cd861f3c · outbound

This paper cites Token merging: Your ViT but faster.

Addressable Memory for Video World Models Token merging: Your ViT but faster

Reference 6

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source=pdf_text observed=2026-08-10T05:06:51.718099Z digest=sha256:406d2b987cb856b20468675c933be1cb3b2afc204b9da950ddfd8dd72630366e

Observation c4c3c9d2-ba07-46f1-9448-e4fe74264f76 · outbound

This paper cites Recurrentmemorytransformer.

Addressable Memory for Video World Models Recurrentmemorytransformer

Reference 7

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source=pdf_text observed=2026-08-10T05:06:51.721638Z digest=sha256:abf6c9266b65e88ff80cf4cd46ddea2443d19d56ec7aafdd78a151601464264e

Observation fe7ebef4-6ad7-4617-bf71-6a922bc30e3e · outbound

This paper cites Mixture of contexts for long video generation.

Addressable Memory for Video World Models Mixture of contexts for long video generation

Reference 8

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source=pdf_text observed=2026-08-10T05:06:51.724686Z digest=sha256:0e211548547ed347f95b6f9df82c628f24a0ce9149c15cf318044d51bde50657

Observation 8f8f6f4e-e63a-4705-8c2c-04581997312a · outbound

This paper cites PyramidKV: Dynamic KV cache compression based on pyramidal information funneling.

Addressable Memory for Video World Models PyramidKV: Dynamic KV cache compression based on pyramidal information funneling

Reference 9

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source=pdf_text observed=2026-08-10T05:06:51.727509Z digest=sha256:a77764d40e7d275bb0cb536f43bc0adbaa9e64615cdc0e173ebdd66e7120c8ac

Observation 66121e07-549e-442d-9b59-46cfcd0d5f47 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.

Addressable Memory for Video World Models Diffusion forcing: Next-token prediction meets full-sequence diffusion

Reference 10

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source=pdf_text observed=2026-08-10T05:06:51.730698Z digest=sha256:9ded530d2711b9d493b19ae6aa04518860a976e870a43d787ab7d2e603546ad5

Observation 72569696-3196-41d8-a983-122bbe4ae8d2 · outbound

This paper cites Past- and future-informed kv cache policy with salience estimation in autoregressive video diffusion.arXiv preprint arXiv:2601.21896, 2026.

Addressable Memory for Video World Models Past- and future-informed kv cache policy with salience estimation in autoregressive video diffusion.arXiv preprint arXiv:2601.21896, 2026

Reference 11

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source=pdf_text observed=2026-08-10T05:06:51.733972Z digest=sha256:1c22f4d8d338b85d9b03f7167974bf02c92e78429a5e7e0b2e589c6f010653ba

Observation 1ffda83b-fb20-41b7-af03-d9bafca2f1e2 · outbound

This paper cites Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis.

Addressable Memory for Video World Models Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis

Reference 12

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source=pdf_text observed=2026-08-10T05:06:51.737173Z digest=sha256:9c469eb50a4fca06f2df01157a39ffbc7964ef06c3a8b791b4cf2d3650e5d20e

Observation fc86cc5f-0460-4489-9718-5e58d3fe3b02 · outbound

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

Addressable Memory for Video World Models Extending Context Window of Large Language Models via Positional Interpolation

Reference 13

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source=pdf_text observed=2026-08-10T05:06:51.740643Z digest=sha256:6f98fd46da2073fea6afc668860a57ac78c05fa49bc908eb00c02cc110fd5639

Observation 64a0907e-d5ff-458c-bdeb-997c74c5484a · outbound

This paper cites Context forcing: Consistent autoregressive video generation with long context.arXiv preprint arXiv:2602.06028, 2026.

Addressable Memory for Video World Models Context forcing: Consistent autoregressive video generation with long context.arXiv preprint arXiv:2602.06028, 2026

Reference 14

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source=pdf_text observed=2026-08-10T05:06:51.744146Z digest=sha256:bc763b508e1a355165b1729dac8273467c1ecee359624c0c97349067c2c603ee

Observation 6baf39b6-e159-4933-80e4-39e35ece8d5b · outbound

This paper cites VRAG: Learning World Models for Interactive Video Generation.

Addressable Memory for Video World Models VRAG: Learning World Models for Interactive Video Generation

Reference 15

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source=pdf_text observed=2026-08-10T05:06:51.747413Z digest=sha256:3e5145fd0e4e804a625523c4f9a1bd511825cc68036dae37709128f2d0e2e1fd

Observation 634e47f8-392f-448a-aff0-da0d87426578 · outbound

This paper cites FINCH: Prompt-guided key-value cache compression for large language models.

Addressable Memory for Video World Models FINCH: Prompt-guided key-value cache compression for large language models

Reference 16

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source=pdf_text observed=2026-08-10T05:06:51.751167Z digest=sha256:f657ddd156840f21f589e2052184613053a589ca007e213853839fa1743fa382

Observation cbd6ee8d-35dc-491d-8390-ac9135b57c4f · outbound

This paper cites Lol: Longer than longer, scaling video generation to hour.arXiv preprint arXiv:2601.16914, 2026.

Addressable Memory for Video World Models Lol: Longer than longer, scaling video generation to hour.arXiv preprint arXiv:2601.16914, 2026

Reference 17

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source=pdf_text observed=2026-08-10T05:06:51.754420Z digest=sha256:a6720a01f131b30eb85922714766ccd6d7b72fc38ec71091235990680b2bd705

Observation 19f274db-1514-4a23-8140-2e0eacc5720d · outbound

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

Addressable Memory for Video World Models Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Reference 18

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source=pdf_text observed=2026-08-10T05:06:51.757833Z digest=sha256:7d3c35f02425cb92b1c65ad4d60ba8c833e6e5635dd2452e2fe514dfd1d24500

Observation 40a1ac60-fc60-45cb-8c83-9d9ada4bd0cf · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Addressable Memory for Video World Models Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 19

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source=pdf_text observed=2026-08-10T05:06:51.761506Z digest=sha256:bbd126d5e59e531e1328a8e8ec3348bb8dea9f6c5ee511a3fef0d5cf2501570a

Observation ea1c6f51-d05b-4b31-96ce-bb17f324f423 · outbound

This paper cites Oasis: A universe in a transformer.https://oasis-model.github.io, 2024.

Addressable Memory for Video World Models Oasis: A universe in a transformer.https://oasis-model.github.io, 2024

Reference 20

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source=pdf_text observed=2026-08-10T05:06:51.765198Z digest=sha256:7d3134fbb47fbdaa4d12bb10907720b74cedd7cb730651629daafe56f504e6fb

Observation f437397a-bae7-430f-8b66-5650f628291b · outbound

This paper cites WorldScore: A unified evaluation benchmark for world generation.

Addressable Memory for Video World Models WorldScore: A unified evaluation benchmark for world generation

Reference 21

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source=pdf_text observed=2026-08-10T05:06:51.768499Z digest=sha256:218f3665e8b004106c2ff10f359e403e11b8352025cb86ab6daa4909770e4300

Observation f019ce2e-f743-4eb5-89d2-ca3c65e8642a · outbound

This paper cites A unified framework for approximating and clustering data.

Addressable Memory for Video World Models A unified framework for approximating and clustering data

Reference 22

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source=pdf_text observed=2026-08-10T05:06:51.771607Z digest=sha256:fc67cd0dc2a80a329ead432815970be39700257e5cb40333dcb00a66b2596b09

Observation 03483878-b4e0-499b-81bd-85e31a3f7192 · outbound

This paper cites Memcam: Memory- augmented camera control for consistent video generation.arXiv preprint arXiv:2603.26193, 2026.

Addressable Memory for Video World Models Memcam: Memory- augmented camera control for consistent video generation.arXiv preprint arXiv:2603.26193, 2026

Reference 23

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source=pdf_text observed=2026-08-10T05:06:51.775432Z digest=sha256:b747fe33111e6f5ddb35c0c8e0da99578fb566594ff44621d90ef97ed0b07540

Observation e3736da0-d508-4182-964d-a81e8e3f08e5 · outbound

This paper cites Contextual Position Encoding: Learning to Count What's Important.

Addressable Memory for Video World Models Contextual Position Encoding: Learning to Count What's Important

Reference 24

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source=pdf_text observed=2026-08-10T05:06:51.778667Z digest=sha256:82cdc075b96bb82df98038043abac4b602fe564b4edce755a7c08fb8f259a907

Observation a6f6d7e9-d04d-43b0-b90f-1d8a30699903 · outbound

This paper cites Genie 3: A new frontier for world models.

Addressable Memory for Video World Models Genie 3: A new frontier for world models

Reference 25

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source=pdf_text observed=2026-08-10T05:06:51.781948Z digest=sha256:5986078c253001991f60c2c76c2a0af152705fbfda9904f060f80ca62c2f1f40

Observation 45dba7e6-fa47-460a-947d-89942018d259 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Addressable Memory for Video World Models Mamba: Linear-time sequence modeling with selective state spaces

Reference 26

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source=pdf_text observed=2026-08-10T05:06:51.784638Z digest=sha256:805ae4556f175f318a5190a38e5a4cd1ab3d938603babcc325bffdfdff7e201c

Observation 5b919a9d-fe83-4fc2-966b-325295ad91bb · outbound

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

Addressable Memory for Video World Models Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 27

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source=pdf_text observed=2026-08-10T05:06:51.787420Z digest=sha256:c55c86319752c9abd4301401d6867dc04fa636a8479e06a785cf0f3e21b066cf

Observation 6e8384ef-1551-4dec-8358-f5370072c761 · outbound

This paper cites Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation.

Addressable Memory for Video World Models Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation

Reference 28

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source=pdf_text observed=2026-08-10T05:06:51.790280Z digest=sha256:ea3e062acf72aab257ae76d5f3683142afe01a0d94d1bc68d459a10731f25851

Observation d25dd89a-6b4d-4c51-b4aa-3497b5ac48b2 · outbound

This paper cites Recurrent world models facilitate policy evolution.

Addressable Memory for Video World Models Recurrent world models facilitate policy evolution

Reference 29

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source=pdf_text observed=2026-08-10T05:06:51.793059Z digest=sha256:a62644eebe67a54e7a8aa6ff5501cd5917bd6b126c2aa5c1329e1e286a81259d

Observation 52bc8748-c20a-4621-be85-6e16b6584354 · outbound

This paper cites Mastering diverse control tasks through world models.Nature, 640:647–653, 2025.

Addressable Memory for Video World Models Mastering diverse control tasks through world models.Nature, 640:647–653, 2025

Reference 30

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source=pdf_text observed=2026-08-10T05:06:51.795696Z digest=sha256:767ac24a10afe5b35bf8aae35cbb2a70f80d90e70f9f566bab534966c9c8f887

Observation d3ed0f70-18c3-4768-826a-8056568bb32c · outbound

This paper cites A$^2$ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization.

Addressable Memory for Video World Models A$^2$ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization

Reference 31

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local_arxiv, observed 2026-08-10T05:06:55.948862Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T05:06:51.798489Z digest=sha256:f371621f854e6c5d28455289853515ce8a890594daf89362204992591e9b5004

Observation 613f3692-f94d-4567-af19-01e552b5d47d · outbound

This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model.

Addressable Memory for Video World Models Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 32

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source=pdf_text observed=2026-08-10T05:06:51.801289Z digest=sha256:e597ab1d8ce731df716dfc93ec429815c5c902b4998866996e83850d73502047

Observation 1ecc7a16-0e7d-4c3a-91e9-62594a23f9c8 · outbound

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

Addressable Memory for Video World Models StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 33

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source=pdf_text observed=2026-08-10T05:06:51.804256Z digest=sha256:1ccff7b9cb0a3ba17b1ff860837604080d0b6d772370e74de7eee1520069670e

Observation 22778dbf-972b-4f61-a063-b0dcb288ae08 · outbound

This paper cites Rotary Position Embedding for Vision Transformer.

Addressable Memory for Video World Models Rotary Position Embedding for Vision Transformer

Reference 34

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source=pdf_text observed=2026-08-10T05:06:51.807153Z digest=sha256:88cee0401b714099b54a636c2670597e2da4e482bfbb26f04a8bed9a0c8cf8e0

Observation d5056227-bf25-4709-829e-8880f2b2cb0b · outbound

This paper cites RELIC: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040, 2025.

Addressable Memory for Video World Models RELIC: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040, 2025

Reference 35

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source=pdf_text observed=2026-08-10T05:06:51.810004Z digest=sha256:561fc68f41fcd5da430bc8a720174a34bef9b2c29980477535946a79b4e2b225

Observation bfa75425-95e9-4cc8-95a2-268522f777dc · outbound

This paper cites Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.

Addressable Memory for Video World Models Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization

Reference 36

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source=pdf_text observed=2026-08-10T05:06:51.812677Z digest=sha256:1ec9cdc1a4d47bc08e0a6607eb89531b40a9e82177f01e2b225d2d280178e55e

Observation 578fb85c-1927-4c6b-b32e-f9ebd635c0e0 · outbound

This paper cites Vid2World: Crafting video diffusion models to interactive world models.

Addressable Memory for Video World Models Vid2World: Crafting video diffusion models to interactive world models

Reference 37

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source=pdf_text observed=2026-08-10T05:06:51.815893Z digest=sha256:6e8ccbda7c15bebb6328f32f7b698a90c0ed584c6604c5618b405da8ec12fa2a

Observation a7b5482e-334b-40b0-9d81-117133e1dfaa · outbound

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

Addressable Memory for Video World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 38

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source=pdf_text observed=2026-08-10T05:06:51.818857Z digest=sha256:31d6110130384dc99712313866189e2ba90783f0adf422018da4d47c034c6388

Observation c161ec1f-f0c5-4703-939c-b9dcdc7b853a · outbound

This paper cites Block-Recurrent Transformers.

Addressable Memory for Video World Models Block-Recurrent Transformers

Reference 39

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source=pdf_text observed=2026-08-10T05:06:51.822520Z digest=sha256:4ba64424d7ffd12183d55bf1ec6da8ce136de1b2b5076dcea37b598f1e9faeb0

Observation ee220334-8634-4eca-a680-40f0eee0b7e0 · outbound

This paper cites Transformers are RNNs: Fast autore- gressive transformers with linear attention.

Addressable Memory for Video World Models Transformers are RNNs: Fast autore- gressive transformers with linear attention

Reference 40

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source=pdf_text observed=2026-08-10T05:06:51.825902Z digest=sha256:66ff8ceaa0db8850cb3d0455c0e7d4e55a00ac654f0e9a9a00a5eadcf2961ddd

Observation 8f2611ed-07eb-4757-83a6-b167dacfe868 · outbound

This paper cites The Impact of Positional Encoding on Length Generalization in Transformers.

Addressable Memory for Video World Models The Impact of Positional Encoding on Length Generalization in Transformers

Reference 41

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source=pdf_text observed=2026-08-10T05:06:51.829142Z digest=sha256:246204cbecdf7b2e740b9626ee38a3bceb927c06a1039524d02144dcb77cb3c5

Observation 1962a171-d7bb-4c8a-979f-14fbaf6a2575 · outbound

This paper cites Jay Kuo, and Peter A.

Addressable Memory for Video World Models Jay Kuo, and Peter A

Reference 42

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source=pdf_text observed=2026-08-10T05:06:51.832659Z digest=sha256:fdd654747056d44abc38302a32853946edb9ccf5dbc4378227818e571e70d865

Observation b421cdb8-9622-4ef8-b681-bbcdd47326a1 · outbound

This paper cites Robust nonnegative matrix factorization using l21-norm.

Addressable Memory for Video World Models Robust nonnegative matrix factorization using l21-norm

Reference 43

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source=pdf_text observed=2026-08-10T05:06:51.835834Z digest=sha256:9fbf2f29823824d6e48f37b8dc0cc3a4e006691b34809e3110cfc9cfccf074ff

Observation 88b6d623-057b-4204-9a35-ba8d372a4def · outbound

This paper cites Lee and H.

Addressable Memory for Video World Models Lee and H

Reference 44

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source=pdf_text observed=2026-08-10T05:06:51.839051Z digest=sha256:cb4855dceaf9664a428a42388715a3c2341cffbd5b6aba9287adbf21b25e9d79

Observation 383659e2-0643-4ac9-824d-9b509bfdda14 · outbound

This paper cites Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models.

Addressable Memory for Video World Models Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models

Reference 45

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source=pdf_text observed=2026-08-10T05:06:51.842394Z digest=sha256:b2b2e527e795616b5176282491291769b40c7ddfc385c6eda0194b2e7d02307b

Observation 905facbf-630e-4981-9740-9d27a14b048c · outbound

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

Addressable Memory for Video World Models Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion

Reference 46

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source=pdf_text observed=2026-08-10T05:06:51.845827Z digest=sha256:58ffa1e3a2cb31def49b4ff3529088049f87929be58b3bc2ee5cc9baa5c7ac34

Observation 6723b123-bdad-46d4-bdbb-9b27cc723b67 · outbound

This paper cites Train short, inference long: Training-free horizon extension for autoregressive video generation.arXiv preprint arXiv:2602.14027, 2026.

Addressable Memory for Video World Models Train short, inference long: Training-free horizon extension for autoregressive video generation.arXiv preprint arXiv:2602.14027, 2026

Reference 47

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source=pdf_text observed=2026-08-10T05:06:51.849683Z digest=sha256:b1ab11009104d90182e3a86ad794df64a35350c63f7043cb6496a63bcc17ae9e

Observation 7e76c29e-770c-49e0-a061-6c12c4a6f8b7 · outbound

This paper cites PackCache: A training-free acceleration method for unified autoregressive video generation via compact KV-cache.arXiv preprint arXiv:2601.04359, 2026.

Addressable Memory for Video World Models PackCache: A training-free acceleration method for unified autoregressive video generation via compact KV-cache.arXiv preprint arXiv:2601.04359, 2026

Reference 48

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source=pdf_text observed=2026-08-10T05:06:51.853092Z digest=sha256:10bbecd91b84417adbd0e70eb60e22beea755ceb6bbf1a67d53dcc503314f4b8

Observation 02f61ce5-176a-42d0-b586-cf9e55dc44fb · outbound

This paper cites Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation.

Addressable Memory for Video World Models Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation

Reference 49

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source=pdf_text observed=2026-08-10T05:06:51.856531Z digest=sha256:c40d0db36f06c7333dfae9df7bea14b09a4beeaf7cab094d8c0bcd03052db25b

Observation bb0d9e24-d699-45a6-ac54-f152584b9165 · outbound

This paper cites Cameras as relative positional encoding.

Addressable Memory for Video World Models Cameras as relative positional encoding

Reference 50

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source=pdf_text observed=2026-08-10T05:06:51.860251Z digest=sha256:c6ae4ebe67a5801082addef82543be013cac09043c57d68b3158cb90f511ff60

Observation de891703-bf83-4994-a4e0-ab76812214f2 · outbound

This paper cites VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory.

Addressable Memory for Video World Models VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory

Reference 51

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source=pdf_text observed=2026-08-10T05:06:51.863744Z digest=sha256:e9a4e3e77ea1e3c5f41242c094c8df89b0a4658fdf10e08b9d19f492a3bc026d

Observation 32182234-1248-4cdc-bd14-87e95f0bce03 · outbound

This paper cites Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212, 2025.

Addressable Memory for Video World Models Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212, 2025

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source=pdf_text observed=2026-08-10T05:06:51.866780Z digest=sha256:818c578d965f58b94054274dcfc5a5e48ab1f2314448b03acfa5a91289280e9a

Observation 94be4b49-5b3b-4c47-9e14-b5e75d728040 · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Addressable Memory for Video World Models SnapKV: LLM Knows What You are Looking for Before Generation

Reference 53

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source=pdf_text observed=2026-08-10T05:06:51.869780Z digest=sha256:030a2ff1a5c055ee1681764684f0341da7779c31c3273e494d1730e806a9572e

Observation 562e98e3-2e84-4069-9556-a10cd7445178 · outbound

This paper cites LoopNav: Benchmarking Spatial Consistency in World Models.

Addressable Memory for Video World Models LoopNav: Benchmarking Spatial Consistency in World Models

Reference 54

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source=pdf_text observed=2026-08-10T05:06:51.873150Z digest=sha256:50ec3144abb36a61c72582598f31247aab203db4b3416c0cae0d4d26f41870ce

Observation 9329cf75-9c5e-4d92-8c27-a520c49578a8 · outbound

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

Addressable Memory for Video World Models Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 55

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source=pdf_text observed=2026-08-10T05:06:51.876309Z digest=sha256:1199df9620c7ad903879dd28c2d66de515f91185e2a567ffb6c8f5e181670be4

Observation 5e2835f8-be93-4c5a-acbf-5a5e80310f76 · outbound

This paper cites KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

Addressable Memory for Video World Models KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Reference 56

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source=pdf_text observed=2026-08-10T05:06:51.879558Z digest=sha256:435b9d0cdfbf54566ee7c5e60e3e1a4ae109a39434a28d8f8d84371a4bf79160

Observation f941b651-7c6a-4d9e-be46-daeada6be491 · outbound

This paper cites JacNet: Learning functions with structured Jacobians.

Addressable Memory for Video World Models JacNet: Learning functions with structured Jacobians

Reference 57

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source=pdf_text observed=2026-08-10T05:06:51.882731Z digest=sha256:9f277667e25cfd1b8afa21edfc9624d1a1b74d06d453e41368c2b2e1ab53994e

Observation 552639f3-182c-4464-b22a-91d52fc77809 · outbound

This paper cites Task Selection for AutoML System Evaluation.

Addressable Memory for Video World Models Task Selection for AutoML System Evaluation

Reference 58

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source=pdf_text observed=2026-08-10T05:06:51.885612Z digest=sha256:33d56d4c497753176c83fe21b8c906fa27af2a5cb101e010457bb37ff9018d10

Observation 9525ee8d-21fe-4950-9617-1cc7aa81e211 · outbound

This paper cites ATT3D: Amortized text-to-3D object synthesis.

Addressable Memory for Video World Models ATT3D: Amortized text-to-3D object synthesis

Reference 59

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source=pdf_text observed=2026-08-10T05:06:51.888849Z digest=sha256:f58a7e0a0ae8c7aa975e73b7ca1a0091711ecee35a8d03299897b2ea011f03cf

Observation 710479b7-ebba-4f2e-a7f6-96d07dceb05c · outbound

This paper cites Flow caching for autoregressive video generation.arXiv preprint arXiv:2602.10825, 2026.

Addressable Memory for Video World Models Flow caching for autoregressive video generation.arXiv preprint arXiv:2602.10825, 2026

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source=pdf_text observed=2026-08-10T05:06:51.891520Z digest=sha256:941cf8013f3fa413775b08eeb7f8883d317bd4089b6b7007220cd1e6cf0b9575

Observation db742686-b706-49a0-b81c-697c9cdfe559 · outbound

This paper cites TriAttention: Efficient Long Reasoning with Trigonometric KV Compression.

Addressable Memory for Video World Models TriAttention: Efficient Long Reasoning with Trigonometric KV Compression

Reference 61

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source=pdf_text observed=2026-08-10T05:06:51.894378Z digest=sha256:41ec79d92178199c591d42c17ce0c161d6d4dca003f1a6776fd7406b555270a4

Observation 5a383fa8-5c2d-4d8f-aa09-a6fae5d36853 · outbound

This paper cites PackForcing: Short video training suffices for long video sampling and long context inference.arXiv preprint arXiv:2603.25730, 2026.

Addressable Memory for Video World Models PackForcing: Short video training suffices for long video sampling and long context inference.arXiv preprint arXiv:2603.25730, 2026

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source=pdf_text observed=2026-08-10T05:06:51.897344Z digest=sha256:ee7fb607b6f9818eb2d60b5466b2f21591e69ccf17c310226b7776e7c500165d

Observation 4d4e19e2-0b8a-485f-8a01-00bd839a6c22 · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

Addressable Memory for Video World Models Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 63

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source=pdf_text observed=2026-08-10T05:06:51.900992Z digest=sha256:908e7828cdcd931d1a1481f8720527491f93a23c26bd7e3f5471f61956f3865f

Observation a788e2bf-48d1-495e-8bb0-e2821e928d0a · outbound

This paper cites Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.

Addressable Memory for Video World Models Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Reference 64

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source=pdf_text observed=2026-08-10T05:06:51.904460Z digest=sha256:bc710decc266a01adef04a4e324ea9c409245c6cb0576b4fa4145ebb24ae39aa

Observation f7d0633f-ef88-46a1-8be5-ae07b9b18d9f · outbound

This paper cites KVPress: A compression library for transformer KV caches.https://github.com/NVIDIA/kvpress, 2024.

Addressable Memory for Video World Models KVPress: A compression library for transformer KV caches.https://github.com/NVIDIA/kvpress, 2024

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source=pdf_text observed=2026-08-10T05:06:51.908045Z digest=sha256:51c282636c4a6a32ee82cb8b9360da277b1d38edc5648ee433524509fa752a7f

Observation 866ad531-9c4e-4db8-952d-3b7609f609b1 · outbound

This paper cites WorldPack: Dynamic Frame Compression for Long-context Video World Modeling.

Addressable Memory for Video World Models WorldPack: Dynamic Frame Compression for Long-context Video World Modeling

Reference 66

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source=pdf_text observed=2026-08-10T05:06:51.911350Z digest=sha256:fb457d2c633f7737fa1ea4940a4afb788209b0640ba173943b2a8a93c1e46a55

Observation e412048b-faec-4d7f-921a-bd699312e06b · outbound

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

Addressable Memory for Video World Models YaRN: Efficient Context Window Extension of Large Language Models

Reference 67

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source=pdf_text observed=2026-08-10T05:06:51.914934Z digest=sha256:30002fd54ade7e2c91d26812dcc6277a1cb6a3d758c4bfd65f9fe1f92217559b

Observation 56cb717b-9da6-449f-b17c-be8f860716db · outbound

This paper cites Long-context state-space video world models.

Addressable Memory for Video World Models Long-context state-space video world models

Reference 68

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source=pdf_text observed=2026-08-10T05:06:51.918609Z digest=sha256:d1d132d4705af8121028986ec71fd5ee47e5c65e105d64c929ed955b23a07709

Observation 79e8cde5-5f8c-425a-ac7c-ea83f84bc309 · outbound

This paper cites Smith, and Mike Lewis.

Addressable Memory for Video World Models Smith, and Mike Lewis

Reference 69

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source=pdf_text observed=2026-08-10T05:06:51.921685Z digest=sha256:a12db6afb65cd7cfee3d3f751239de9f020618f53afcbae6b3f5dc3e3b90ff1c

Observation 1443c73a-8bf6-4d74-96cb-d73da9750e97 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Addressable Memory for Video World Models Learning transferable visual models from natural language supervision

Reference 70

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source=pdf_text observed=2026-08-10T05:06:51.924869Z digest=sha256:80fa6504c67d60c76b731c7633f8e7c22f084a385efc58e93e0cad998ced419f

Observation 930ccfba-f3f9-4bc8-a89a-01a40f5b13ea · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

Addressable Memory for Video World Models Rae, Anna Potapenko, Siddhant M

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source=pdf_text observed=2026-08-10T05:06:51.928398Z digest=sha256:b8b2b021462fb6147670cd7c6adf327c47204ec237fd8e93809d4fc9ee42f685

Observation 0aefec3a-6ed3-4e7c-b7a2-edc059d454c3 · outbound

This paper cites Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond.

Addressable Memory for Video World Models Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond

Reference 72

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source=pdf_text observed=2026-08-10T05:06:51.931568Z digest=sha256:fb32bf99ff4d5eb8af274fc274030ac081c31a7a49c305b523dc56b716fe7ac7

Observation 53088a46-4a55-42aa-bd86-9a3623203d8b · outbound

This paper cites Fast autoregressive video diffusion and world models with temporal cache compression and sparse attention.arXiv preprint arXiv:2602.01801, 2026.

Addressable Memory for Video World Models Fast autoregressive video diffusion and world models with temporal cache compression and sparse attention.arXiv preprint arXiv:2602.01801, 2026

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source=pdf_text observed=2026-08-10T05:06:51.935154Z digest=sha256:1551adcfcc350c147ac7174da4af6da0d7b0cf53ffb6be5c0f7943faa383d9bc

Observation 97763b1a-405f-4127-8696-1a6dd8e498d4 · outbound

This paper cites LongRoPE2: Near-lossless LLM context window scaling.

Addressable Memory for Video World Models LongRoPE2: Near-lossless LLM context window scaling

Reference 74

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source=pdf_text observed=2026-08-10T05:06:51.938252Z digest=sha256:6ddf821364a3f8738516aa1a484199d2f0cfd1069e923244cf70d75de31a5de9

Observation 219c96eb-d2b2-44d7-ad62-c753a18d971a · outbound

This paper cites History-Guided Video Diffusion.

Addressable Memory for Video World Models History-Guided Video Diffusion

Reference 75

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source=pdf_text observed=2026-08-10T05:06:51.941856Z digest=sha256:d556c850e54f7b429afb1cada033674bd874fd04a4c287340af89bd4ca30f65c

Observation 8722fe6f-b7dc-4e9d-9be1-807e6a546a3b · outbound

This paper cites Multi-student Diffusion Distillation for Better One-step Generators.

Addressable Memory for Video World Models Multi-student Diffusion Distillation for Better One-step Generators

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source=pdf_text observed=2026-08-10T05:06:51.945440Z digest=sha256:03a84c92538ff51176763b88a3deedcb51574bf17d971c07bbe901919454dde8

Observation bb5f8c81-180b-4a75-aa0e-09ae3ecb1078 · outbound

This paper cites Composition of memory experts for diffusion world models.

Addressable Memory for Video World Models Composition of memory experts for diffusion world models

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source=pdf_text observed=2026-08-10T05:06:51.948895Z digest=sha256:43f924dff4fec530828419c06ab197169aa5d25f04607ef875ad6106a1ee0860

Observation 22efbd61-f2aa-4b2c-b95f-ab977bbe44dc · outbound

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

Addressable Memory for Video World Models RoFormer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

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source=pdf_text observed=2026-08-10T05:06:51.951728Z digest=sha256:bf8897da77062b44d885717892c23bf6d764d6336113d729429d11482b3f5dff

Observation 2ced6be5-c8ec-446c-b8be-33feb282cf57 · outbound

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

Addressable Memory for Video World Models WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 79

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source=pdf_text observed=2026-08-10T05:06:51.954581Z digest=sha256:7fcdffd895aee694a7d774e1a1c008e9725be99eb8e0d534dee805748a50a368

Observation dcb9b390-15dd-4de5-96cd-15fd81384c7e · outbound

This paper cites Learning to (learn at test time): RNNs with expressive hidden states.

Addressable Memory for Video World Models Learning to (learn at test time): RNNs with expressive hidden states

Reference 80

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source=pdf_text observed=2026-08-10T05:06:51.957468Z digest=sha256:b0d076703f4d599146704f5b11c5a87cde4e42a6273f4817eccab6272d37f2d4

Observation 0e61fcb2-60a9-41fe-b00d-cac9563f47a0 · outbound

This paper cites A Length-Extrapolatable Transformer.

Addressable Memory for Video World Models A Length-Extrapolatable Transformer

Reference 81

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source=pdf_text observed=2026-08-10T05:06:51.960146Z digest=sha256:fbc238023e6f536f3b09cfc7a151759c103aff17a285aca6c4b4a7be7d7b057a

Observation 924e2455-efe2-417e-a089-a8c83e870d69 · outbound

This paper cites Advancing Open-source World Models.

Addressable Memory for Video World Models Advancing Open-source World Models

Reference 82

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source=pdf_text observed=2026-08-10T05:06:51.963230Z digest=sha256:be1dfaa0a89cc2179f0779de9904088c2b9e288a21ed98c60bc35099fe1ceb43

Observation df4eb73f-d4b9-4344-aaf1-80db9dbf98d8 · outbound

This paper cites KeepKV: Achieving periodic lossless KV cache compression for efficient LLM inference.

Addressable Memory for Video World Models KeepKV: Achieving periodic lossless KV cache compression for efficient LLM inference

Reference 83

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source=pdf_text observed=2026-08-10T05:06:51.966146Z digest=sha256:fcb27a90341e63a6e345ba6d1144a5f66352360fedf8e2c3d27e7899ad77e57a

Observation a5e1beab-7c38-4a85-8e41-2c2aa5a3315e · outbound

This paper cites Diffusion models are real-time game engines.

Addressable Memory for Video World Models Diffusion models are real-time game engines

Reference 84

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source=pdf_text observed=2026-08-10T05:06:51.968987Z digest=sha256:4ca563df444606ccf8ae6b989be7e1a1be717f1cfa782e2462eb37677ed6d78a

Observation c6859384-b193-442f-9602-689ba0412c20 · outbound

This paper cites an unresolved cited work.

Addressable Memory for Video World Models Unresolved cited work

Reference 85

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source=pdf_text observed=2026-08-10T05:06:51.971985Z digest=sha256:b119ae7015b02e973c241f24fbd6c5396f3dbc72e22edf86a340f90d8caa7691

Observation 878363cd-acd2-4c73-8f18-0e636e4ee5fd · outbound

This paper cites Fast transformers with clustered attention.

Addressable Memory for Video World Models Fast transformers with clustered attention

Reference 86

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source=pdf_text observed=2026-08-10T05:06:51.974974Z digest=sha256:8a9a1903d57a29b9cc06a08cf0ee92a6d960663962f7a881f4a0108445e48c49

Observation 140f24d8-7ecf-4516-941f-a07656c5dd05 · outbound

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

Addressable Memory for Video World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 87

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source=pdf_text observed=2026-08-10T05:06:51.977937Z digest=sha256:aa733f94f5717f2851984a57f2c5fe9cab9e689d9659bb966a1609012cad9aac

Observation a1dd92ba-2805-4c71-b625-635ae12b24d6 · outbound

This paper cites When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training.

Addressable Memory for Video World Models When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Reference 88

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source=pdf_text observed=2026-08-10T05:06:51.980988Z digest=sha256:167946b28c73086a239d0107c38abba73a69aef566f5f751fd60d1f9c4146e33

Observation 50d18257-3043-4ec0-a6c0-2fd075c40d31 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Addressable Memory for Video World Models Linformer: Self-Attention with Linear Complexity

Reference 89

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source=pdf_text observed=2026-08-10T05:06:51.983926Z digest=sha256:5c501381f9aa4c08d3aa302224033df9cf1dc51a07514a477ec8827ea438f54e

Observation 44e33ebc-3b39-4e69-bb25-391ef2aca2a3 · outbound

This paper cites LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models.

Addressable Memory for Video World Models LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

Reference 90

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source=pdf_text observed=2026-08-10T05:06:51.987484Z digest=sha256:46a9bed32180d7d633fba7c96c96e771e48b95ca5231764551b7f37431643a5b

Observation 81426352-910e-48fa-85ad-b2c179e619bd · outbound

This paper cites Bovik, Hamid R.

Addressable Memory for Video World Models Bovik, Hamid R

Reference 91

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source=pdf_text observed=2026-08-10T05:06:51.991027Z digest=sha256:f0a7743b10a9fdf1b22888172b67725c9ca504bf01f02a17046d8dc33eb318ba

Observation c11f2c74-cb6f-4071-8458-ab4a9998adef · outbound

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

Addressable Memory for Video World Models Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 92

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source=pdf_text observed=2026-08-10T05:06:51.994602Z digest=sha256:c427c04f183a0839f48917343bd230335fab89f239527a3c8d8c5cbc2320bc89

Observation bf6b92ab-aa87-4a59-8ff8-96e0a87c7b1b · outbound

This paper cites VideoRoPE: What Makes for Good Video Rotary Position Embedding?.

Addressable Memory for Video World Models VideoRoPE: What Makes for Good Video Rotary Position Embedding?

Reference 93

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source=pdf_text observed=2026-08-10T05:06:51.998314Z digest=sha256:d37ae087194fee13c83a4a298f250b74f1dffd98d05fc0f9b35d6e4127dd1bb7

Observation 45019931-55ad-42dd-9581-576a360adc4c · outbound

This paper cites Video World Models with Long-term Spatial Memory.

Addressable Memory for Video World Models Video World Models with Long-term Spatial Memory

Reference 94

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source=pdf_text observed=2026-08-10T05:06:52.002085Z digest=sha256:53c315e78de741fc0103070c010fcd9cd74a4a874ad2dd825328406e6cb1f980

Observation 2a0e4fff-a6e0-4dda-822e-60fcaf2c95d5 · outbound

This paper cites Corgi: Cached memory guided video generation.

Addressable Memory for Video World Models Corgi: Cached memory guided video generation

Reference 95

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source=pdf_text observed=2026-08-10T05:06:52.005790Z digest=sha256:793ecab08748d93f93b23f3d9eb9724dd7b36a09713d579767ba9295b748d488

Observation 7563504e-80c6-4111-a504-757d267ce84f · outbound

This paper cites Motion attribution for video generation.

Addressable Memory for Video World Models Motion attribution for video generation

Reference 96

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source=pdf_text observed=2026-08-10T05:06:52.009046Z digest=sha256:02df112c733c9442983236d86366444c87495a22815c6b90154b5e0106d68ba5

Observation 9dff48ed-dcf2-486a-93ee-30cedd49be66 · outbound

This paper cites Rabe, DeLesley Hutchins, and Christian Szegedy.

Addressable Memory for Video World Models Rabe, DeLesley Hutchins, and Christian Szegedy

Reference 97

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source=pdf_text observed=2026-08-10T05:06:52.012470Z digest=sha256:4cdd0b7615819c457f7574fca2769edbe87ada3eb110468a71d539608404e20f

Observation fc0d617b-5107-4687-b585-3c4dbbe1e106 · outbound

This paper cites Efficient streaming language models with attention sinks.

Addressable Memory for Video World Models Efficient streaming language models with attention sinks

Reference 98

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source=pdf_text observed=2026-08-10T05:06:52.015881Z digest=sha256:92e34b3f02238dffd3963beff5229ae2b13f37c7c65c17bbcd1476e27a20384d

Observation a7be016b-15e7-4e9c-a3dd-2d7e75e1965e · outbound

This paper cites DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

Addressable Memory for Video World Models DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Reference 99

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source=pdf_text observed=2026-08-10T05:06:52.019067Z digest=sha256:5c1677ad74916d68fc45c61a095e70049f5856bcd0b8171626e9e331fb0ba922

Observation b9d48c43-e88a-44e5-9b91-b8019f21f757 · outbound

This paper cites WorldMem: Long-term consistent world simulation with memory.

Addressable Memory for Video World Models WorldMem: Long-term consistent world simulation with memory

Reference 100

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source=pdf_text observed=2026-08-10T05:06:52.022607Z digest=sha256:d94c5f01dba57676e7f5fd4f6867701416fa30a88235c9ddbb3fcfbae26e3948

Pith citing papers

No inbound Pith citation observations are available.