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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=sha256:3d311d470849a39b86100f88e289d564edca7d8f8f4c93a5f4696dd892eb6b68

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:a154bc07c0cb6da343e6f148edb0f71fbcdfbfbcf144e2088796d5c149f4c699

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=sha256:05bf3229451433dadf03710a2fd2ec1abad23efbaae8edb7c231dfc730917eaa

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=sha256:411684af4554856819e98ceefb7814b76abc5d29fc9b46cc2c16091589246292

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=sha256:969810a1d0c140f11b1c6ed403519f4eb53eb776125f65f61755c951b46f5570

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:b4b224747316b0358aeae50c71e6c0779a1ece32d1adb4391109523964738bd4

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=sha256:4613c6ea1f7e3e7523829f0c74227d9cae19ab9beaaa5e6f48840269d6409575

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:c76968d05168aa5a35bf4485d146b00db06dd4ac889c84ef9b360b665806ae16

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:f002d8223a20887314599c628f553a7434c9a4ef4a1ec36ff739c29387439d1c

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:a55f56f7d72d9e9a8f26478a28df27f7c9e3421fb129d9b2bb7dfa68313dd224

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=sha256:5fbdf7eaa625a18985f634b3b1a70fa11aa48bae895d5fba2dc40c6b9eebaf23

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=sha256:8c9af0794ec42830199881128f6eca9608619269b5239e1db34b5ab6090a8e8b

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:e234c560980c5dca34b2c9ab78dbd311bd7d5631d12eeb9fe508c95862219820

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=sha256:1d3a089aa6f5a92c6b617eadef0d08c386b529e9db643f283d23826bcf7bf972

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=sha256:3c433d4cd1c2b41a4821f99ea1752c23a2ef5ec9b234575027ae2dc7b86eab5f

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=sha256:0a21bacb6b53d922fe6df4ed847370aee06e71a89c1d15f743432d31f16a2e1b

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:ad655a14b0300bc8518e14bb7b018aade81cd0c5907befae140e96d3faca1d2b

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:f326801db7c79f873934e57bbdadaeb8fa12e99cafaffe3ce41e33c9d590bca1

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=sha256:68ef374dec5a2dd150556f2d112c48da3f5e10a086c901fb8fb9439fc611743b

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=sha256:1cb388e3e58ade99f91642906471dc0515f1eec28f2fe8b6b8360c3ec5e14ea9

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:b80e2f9e1b02c795507febf78107b8692fb8a7625187114836409464d9506111

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:d991e8f47cb0579af5f2216d2ad9976c2588a7e1d697f6db005c860e24f0f764

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=sha256:16477bd3fbe6101be0704a75b456bc9b3b2d1c644e0b5890f33c205833c32600

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=sha256:96e286c771187aa5cd21c60ed88d863eb026c9dfb5e80dec449d3ef6b32aba25

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=sha256:9cf6967415257206fcd9ef4dda5da1d3915479838e92060791b0aaa16c3560dd

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:ce4c1942cf6d7ecdb67a5abe52b59196e8c23a556123bf8bdfa484197f1386c7

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=sha256:8a3746fea5c72b2c65aff388bd57263bdb329ae2a1ab3c16126c97d1bb0b5f4d

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:b19969b612ada37e6ce86d50c2f0c4ecf9ff897ad2ffac8037cc74acbd67de51

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=sha256:48a91949b3cded28cfc565fb9ae4be93f346e55c2f5ac8ceb9ffe266c66a2e9d

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=sha256:1f1a3adeb7694a9dbc1f465a8ff0a7c43f4cb0a76816feafe1672e2e6fe26fee

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

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=2026-08-10T05:06:51.798489Z digest=sha256:d7748475b3653679afddfddd1713453ecacee3c8ed7f7402744b6b4e074cc195

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=sha256:350df4266edc0c3290cf0387b714a26067d252d7bafe8165a6e8d35b38985d9d

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=sha256:315b0dd3bc2a740c8bec3a2fc8bfbf5381a89df570dac7b3799b4b292f732b76

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:a445f800c29de7a72d6759d273d3b2f92311212553c687ccd85ceffc1f40f693

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:a8d3a92eb6b314d263a5def5475617dd8ba7013d25dd74bd8fb523627ed6802e

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=sha256:71cc8709e2d82fea082ac2e8666cfd82519cb62e79fba5c8ed41d667e75d1a04

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:fcada3c347b812916e58a154a9fd0e76b61d4a0292e2cadf16e92b05f0bc75f7

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=sha256:6638e2b4306e81ca6d67d00cdaa6520a46abb4a96f8742696496a211fb4c2b40

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=sha256:2f712921ae7a3069ec2a7294df25f4654dbc845544b1c1d8b32e1a49596958e5

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:e89b1a92236d8aab9d0defa25d96f32f4fdcbcc7feb46362f6065f864e78e08e

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=sha256:1702bf1369dc12fa8ba8df92dca74e9c9d0aedae47d221cbe55577b1bbb2c4c2

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=sha256:65e1316a6b145799e8914a5574c2247255c1e4e45b6a3b1228330e2f5585b8e1

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:ccee87997694cd9e7580c8fec3fa93c7c12ed8811b60dafdaf7dde133fed7280

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:b214e72d0d4384e46cd5deb21b3df2c724bc65035d3695c273f4dea1f953deb5

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=sha256:29888ba3026de18bffa977589a2a8b92f42b897c80689667b05de2999c9f3ad4

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=sha256:084c560f37a5d595bff63a57a65660748da48a7410a9a828a2d2f5cb5e730941

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

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source=pdf_text observed=2026-08-10T05:06:51.849683Z digest=sha256:eb7a3e7ea8aa2fbf409f091c073eb092c5a6089a3dc06edbee71cceaaa0fe08e

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=sha256:92d9667746c4e4f990abb778e84de417194f4a10304585134c6d678fcd1013a2

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=sha256:8c657604dacffb823c4312e491a5307a7c995f2f2dbf3f3cf4e4d4b2a4322fa0

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=sha256:6f33ada9a663c32554737784188e5d822b44539d6bba5350d9c6311e1c1f3141

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=sha256:0f202a63ac97c8aa5321db5f5c4c05d868f3f18a0f053fc86c698f73506c3800

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:b6503433952f2344f2d2da774d5f9713ff45cdbf6ed8e17a5692074cced7e875

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=sha256:29422fde3bec17e62d8476cb840ba64d5632f45c1758b4ac43ef7d214644dafd

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=sha256:7037033216aed1e5c62a6eb883dbb12e6b4a1e525422c171ed968670cc9ce6d5

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:d2fec707823db9d2fee44291886b18aed24cd4056bf5b946b5eb5109dc505a6a

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:edd820d23868ba7053233a36f165809d0c7b02fd659672214ce79427d829e267

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:a5b4293235ce86722db8f427cbfc656c573d9039cc26ac267ff666c3a20cad2b

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=sha256:9b4afa2dcddd78ea70b4e207d4dd021710fa477eb09ae6d28c39c0e55df2c24e

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:f6a90df4410c230ca2d0964767820c1bcd1b4c7b0b9b5b26d32597cd725d30f7

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=sha256:36b762a4f75b17d91780325490beff1cfd8437d4d1c772368a1398f21b2aca34

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=sha256:48eaf43bd93ead49eeac7f142f87173a531120f79e061797ed5adfbdc11cce1e

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=sha256:9fe3b2c051710b119fd46be56b3d01e8ef680efc11200c8b588c678c6a89c06b

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=sha256:4d74339266131a3ac74ac85abfd8534a164068655a9bfd58c8b1eb247bd3de33

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:cc6fade44e1b206f9a3fe46c3797bae6ed0faa677844124966a71d86d4cbef83

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=sha256:173a832a80ef10aaab86ba4be98924310e55c8143ff9b983b88e9a6c6af46ba2

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=sha256:971b182528192a2b9e48876e9f30f4c008b47d6191af6434e64229f538f1a8d3

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=sha256:09c639a164eae8b33903fa5631f0344d62708438d3e597485f4603226c784e0e

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:d2b6378836ce9c4551b1fe1d9d2c362cb7486e6da76c4a0d5cf856fbcd4e68bf

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=sha256:8ba730a5952286bb2e02ab61da98abc43d5c9fa4eca163c52195e9051ca64fc0

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=sha256:4a3d935f867d00c541e59b9d84a594a04198c3dd0ea28a10646fca6c7912d057

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=sha256:868829e4c59043fe2cb5baaf900539f371c21b0e6c86886d449db0e5144ea05f

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:fbe01bffe737e2a7219f6326ff70662cf876075fd9322bd20d38a0a2d9362ea3

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=sha256:38ada19f12827731d0c64bdce448790022685a8fff8081c36afea41a9289faea

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:a42ed371319a41e71cd2c186c194ce1a15ee5b9c2774397facb54ffc9ff6721f

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=sha256:070015a16faa2f825fb1a058cc4346fedf7abe14048273b882a00c3f01ac1451

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=sha256:8b5f70e21f7899041e3dbd8c413ba3bf2ca3817077090f50731425c4ae78fe26

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=sha256:6ab1afc912009c36a99e475aa3b3eccc73169d96e68041b00ec25bdb79e283b0

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=sha256:58f338d8e53513b4947c11767f5e1270871a070c88e51cd081d5c9fc790a8272

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:ae5b3561ded27994198a42c6cf1d1912bc711048de47129d0eb139f188691f1b

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:eda06c1e84c1afbe1777a21741174b4f99c95fb147217d251407601e6bfeacc5

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:ed359507599192713d7f1ea1f7e1211806c964c3361f92aa0606d462d5ae07b1

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=sha256:59d1288f533f934fe57e162d327efe07bde370304b96c165b61c93836567a084

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:fa06f99ff21bf8cb1f25cf9b747ab9885e54bdcbd8f3e596979864b73de6236b

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:ca5845bc5ea116705d9199660ea8b92b95709789e0e6b6b1f577ae0f14e5cffe

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=sha256:79265fbdcc9f14288f680f85b25d9200c546991503550c14c653b23c9a3b9d16

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:b65acbd169cd94a78d8a56f1ecc35cd1995c750361c9d75ad14fbdd7a78d36ef

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:c7f41af8bffc6dad9114b1481f809fb1f466b593ddb651de5c5ed185bbe83ed9

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=sha256:6cf9dcc28c471cd3c158aa81b6a8485b94a16b48ecd40a7be935c823af2bd7c2

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=sha256:303f8454d54bbf7118e0af9ac2a6bb28067086c0d471cde98893e68ae606e8db

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:ae6316e294d3277e0c5f48df3eb7b59269f514836d7c51d5c221fd1a6619ba22

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:b1c5cd499dfb151ab6e23a8dc3f2028f8bfb15d0057484e02295415430a43d52

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=sha256:9c6483d09d6554edb0cca2dcee136d51c55bcf99560c878c9fe28059892f4359

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=sha256:1542876f03b10c0e08bbb8889bdda0453c319b3d85f4c620803b4042bc2e4470

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=sha256:41668dbd7415bd1703889b995b3b1d016e23a04d2a9afd861577bd44b22a3ef6

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:b7c924b1a15204427400736be47786f549eb765df1bcd5bfcc9d8af2a6c3f8d6

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=sha256:92e22bcb2208df1c1e58339a4e40507a0a48b432079b5b38cb63de290da0ca50

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:f2b4b831fac92e39c99943d86e48f6a92c8705a80a3fb15759d666bddda22c61

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=sha256:25ec5036a83987300d8937b25cafe50a36d75e919cfb33d23587d611ba142522

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:dba842414473f0c2484391635240d556470b56017027649ee454e980b99bfe84

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=sha256:7b9d1a7ec4e81ac23381c07aa7c399a5928b41c0b6b2512e2f2c36ad897088c3

Pith citing papers

No inbound Pith citation observations are available.