Paper Citation Record · LEDGER

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

As of 5 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 4 inbound Pith citation observations for arXiv:2606.00793.

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

pith.paper-citation-record.v1
2606.00793 v2

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T19:04:58.672464Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:52:21.297924Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T07:14:45.272447Z

Reference resolution

100 of 101 outbound references displayed

verified exact48
verified fuzzy0
unresolved50
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c72e8d42-85c0-460b-9c30-e022930d004a · outbound

This paper cites ai, Hansi Teng, Hongyu Jia, Lei Sun, Lingzhi Li, Maolin Li, Mingqiu Tang, Shuai Han, Tianning Zhang, W.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models ai, Hansi Teng, Hongyu Jia, Lei Sun, Lingzhi Li, Maolin Li, Mingqiu Tang, Shuai Han, Tianning Zhang, W

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ed3b2c-1a34-47af-878e-67a2193ab28b · outbound

This paper cites World simulation with video foundation models for physical ai, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models World simulation with video foundation models for physical ai, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8676be0-69a6-4ce5-9dec-85d06c6113e3 · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.Advancesin Neural Information Processing Systems, 37:58757–58791, 2024.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Diffusion for world modeling: Visual details matter in atari.Advancesin Neural Information Processing Systems, 37:58757–58791, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc63a4a-24ec-414f-930d-dd2ad5f0ae72 · outbound

This paper cites Physics-aware-videos.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Physics-aware-videos

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4d959b3-5dfd-44bf-bb4a-7cf134a0a956 · outbound

This paper cites Qwen3-VL Technical Report.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Qwen3-VL Technical Report

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.202367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12a423cc-2705-4888-8b7a-45329c48af5c · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.204746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f9a28301-9eb9-484d-b53d-9d4644c28bc4 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.199395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b6de40a-3dd3-451b-b082-86da2e4d1892 · outbound

This paper cites Genie: Generative interactive environments.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Genie: Generative interactive environments

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16bd7734-fe63-4d9d-b935-97eea23836b0 · outbound

This paper cites Seed2.0 model card: Towards intelligence frontier for real-world complexity.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Seed2.0 model card: Towards intelligence frontier for real-world complexity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe1020b-e50e-47ab-b28b-3bb15f26ffa2 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advancesin Neural Information Processing Systems, 37:24081–24125, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc21271-a501-4138-98a9-41bd7f9abd19 · outbound

This paper cites Skyreels-v2: Infinite-length film generative model, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Skyreels-v2: Infinite-length film generative model, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257bb731-5de5-4ced-977a-58182c4a0fb9 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.146424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21af5c0e-d3c4-4ad0-b53c-f0055add531d · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VRAG: Learning World Models for Interactive Video Generation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.179693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 633ff394-e41e-4034-8bb0-260d87b2c592 · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Adversarial Video Generation on Complex Datasets

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:22:35.164769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8138f958-5592-4ec6-8927-fe2b4b3f67e5 · outbound

This paper cites One-minute video generation with test-time training.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models One-minute video generation with test-time training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2928de-4a7e-45df-abbc-aaae3c2da9e2 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Arcface: Additive angular margin loss for deep face recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67022ff-e741-463a-a385-57a93cc4e70d · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Worldscore: A unified evaluation benchmark for world generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.133872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60a787f0-fb25-4c30-a95c-4a994c9b8946 · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.Advancesin Neural Information Processing Systems, 37:91560–91596, 2024.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Vista: A generalizable driving world model with high fidelity and versatile controllability.Advancesin Neural Information Processing Systems, 37:91560–91596, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3bdd96-ce1f-45ef-a9ea-36ba8eb7a4ef · outbound

This paper cites Veo-3 technical report.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Veo-3 technical report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38fa18db-11b1-4c5f-aad9-934815fd949d · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.142836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc290460-3cc0-4b3e-ac19-f4548e4b75d2 · outbound

This paper cites T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.134374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09061cf4-72c1-401e-946d-cade91cb4cfe · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.191867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 764769eb-340f-4b94-808b-d1b2007f7bfd · outbound

This paper cites Recurrent world models facilitate policy evolution.Advances in neural information processing systems, 31, 2018.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Recurrent world models facilitate policy evolution.Advances in neural information processing systems, 31, 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83e6f961-3392-4b7d-91c1-8770fc42e248 · outbound

This paper cites Mastering Diverse Domains through World Models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Mastering Diverse Domains through World Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.084706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c24f42d-eb75-46ba-9a42-ae4f45f2ff5e · outbound

This paper cites Video-bench: Human-aligned video generation benchmark.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Video-bench: Human-aligned video generation benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41af21c2-018f-4cb7-b79b-b9c0443d7f31 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.118293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c9c9042-5fb7-478b-b0d7-e3bf63784b5b · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Streamingt2v: Consistent, dynamic, and extendable long video generation from text

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d98785-7df8-4d6d-acef-ee284e7debaf · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advancesin neural information processing systems, 30, 2017.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advancesin neural information processing systems, 30, 2017

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66a9f7b-2952-4be3-b6c6-f1e680fd9a49 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Imagen Video: High Definition Video Generation with Diffusion Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.174312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a7eea10-f7d4-40bf-9748-d549ad06834b · outbound

This paper cites Video diffusion models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Video diffusion models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a996e82-2f43-4fa0-897d-e79b1de8188f · outbound

This paper cites Gaia-1: A generative world model for autonomous driving, 2023.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Gaia-1: A generative world model for autonomous driving, 2023

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c9c63c-bce7-49cc-a03a-cd830eefdff6 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.181671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 669241d5-c5ba-4586-85f7-5a9d4550914c · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VBench: Comprehensive benchmark suite for video generative models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 606c04e7-ad21-4544-9efe-fa22c5f4352d · outbound

This paper cites VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactionson Pattern Analysis and Machine Intelligence, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactionson Pattern Analysis and Machine Intelligence, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c2e3b4-5d8c-45bb-8f15-ce4dc0bce61a · outbound

This paper cites Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency.arXiv preprint, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency.arXiv preprint, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd945270-0c51-474a-b372-fcfdf49e526c · outbound

This paper cites Openclip.Zenodo, 2021.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Openclip.Zenodo, 2021

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1089c305-d6d6-4d29-9c1d-3ecb1328a8a3 · outbound

This paper cites T2vbench: Benchmarking temporal dynamics for text-to-video generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models T2vbench: Benchmarking temporal dynamics for text-to-video generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1cfd43-2976-450c-b00f-6d8ceb25b45d · outbound

This paper cites Memflow: Flowing adaptive memory for consistent and efficient long video narratives.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Memflow: Flowing adaptive memory for consistent and efficient long video narratives

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.162161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c90ed9c-56a3-44d3-a344-4c72359bda0e · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.155508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e9ddf07-25a9-41ef-a262-7a384c3baaba · outbound

This paper cites Fifo-diffusion: Generating infinite videos from text without training.Advancesin Neural Information Processing Systems, 37:89834–89868, 2024.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Fifo-diffusion: Generating infinite videos from text without training.Advancesin Neural Information Processing Systems, 37:89834–89868, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91620372-dfdc-4fda-afd3-4bcc5bf479bd · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a191da2c-078e-47ee-9fc3-e168d586d647 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.169682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8de8deec-bb39-4177-84c5-e71291cd3ad6 · outbound

This paper cites Gonzalez, Ion Stoica, Song Han, and Yao Lu.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Gonzalez, Ion Stoica, Song Han, and Yao Lu

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a360f3ab-e8d4-4a1f-beb7-0de58ec56bc2 · outbound

This paper cites OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.174977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6f2e002-cc34-418e-98b0-887ca4534632 · outbound

This paper cites Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.191121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a3496d47-9283-499d-ac68-1053101e5008 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Depth Anything 3: Recovering the Visual Space from Any Views

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.184272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba7c79e8-aebc-4bd4-b86c-7a4fae9883c1 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb850652-8307-4b74-9fa8-5d2751189378 · outbound

This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Evalcrafter: Benchmarking and evaluating large video generation models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3362f9-8e0f-4e4c-a47f-edf54e66a604 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.120276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a17cf3e6-dbba-40c9-88e9-15211af52095 · outbound

This paper cites Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation.Advancesin Neural Information Processing Systems, 36:62352–62387, 2023.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation.Advancesin Neural Information Processing Systems, 36:62352–62387, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a054d5f-7fd2-4718-a358-6e0370d23062 · outbound

This paper cites Out of sight, out of mind? evaluating state evolution in video world models, 2026.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Out of sight, out of mind? evaluating state evolution in video world models, 2026

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70bfef34-4972-4621-a4c7-ea80756d8813 · outbound

This paper cites Yume-1.5: A text-controlled interactive world generation model.arXiv preprint arXiv:2512.22096.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Yume-1.5: A text-controlled interactive world generation model.arXiv preprint arXiv:2512.22096

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.143652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de6011d9-542d-4cab-9555-71330b6bde08 · outbound

This paper cites Yume: An Interactive World Generation Model.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Yume: An Interactive World Generation Model

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.161751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75d96a76-7321-439e-b54e-68a7a75b22a0 · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.182074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d711bbb5-370d-4bdd-a173-52ac616c4363 · outbound

This paper cites Transformers are Sample-Efficient World Models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Transformers are Sample-Efficient World Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.159472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22d4fa73-7cf4-4e23-ba2c-85e9da63c1dd · outbound

This paper cites Sora2.https://openai.com/zh-Hans-CN/index/sora-2/, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Sora2.https://openai.com/zh-Hans-CN/index/sora-2/, 2025

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4daa6cf-2470-4db6-99c2-c99c8a4814ec · outbound

This paper cites an unresolved cited work.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9839d058-e001-40c9-a8fd-7a98adc93fbf · outbound

This paper cites Scalable diffusion models with transformers.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Scalable diffusion models with transformers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1d6a3e-859c-4098-95dd-8d9b78a35af3 · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.136808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7ba08a8b-85a5-449c-a962-08722445bf96 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models SAM 2: Segment Anything in Images and Videos

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.156713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d35cf775-3a33-4231-870a-7538a3cf4c37 · outbound

This paper cites Improved techniques for training gans.Advancesin neural information processing systems, 29, 2016.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Improved techniques for training gans.Advancesin neural information processing systems, 29, 2016

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62c1d652-7efc-4a67-bd4b-d2758edcffe3 · outbound

This paper cites an unresolved cited work.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

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Observation 4cd2b49b-d99d-4d2b-b307-bec094267bdd · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.115850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c4a48fa-fa2c-42e8-997c-7dcc4ca23b62 · outbound

This paper cites Matrix-game 3.0: Real-time and streaming interactive world model with long-horizon memory.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Matrix-game 3.0: Real-time and streaming interactive world model with long-horizon memory

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00240fd7-57a3-4379-ae0f-fe9cce3d13cc · outbound

This paper cites History-Guided Video Diffusion.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models History-Guided Video Diffusion

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.125350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6d00d965-cec9-4291-b05f-e1d6653e44a2 · outbound

This paper cites T2v-compbench: A comprehensive benchmark for compositional text-to-video generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models T2v-compbench: A comprehensive benchmark for compositional text-to-video generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a91075-c61b-4823-83ab-861c7a1d21cb · outbound

This paper cites Longcat-video technical report, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Longcat-video technical report, 2025

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e186c1-0317-4c65-827b-426b9de957c0 · outbound

This paper cites Advancing Open-source World Models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Advancing Open-source World Models

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.172016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 587808fa-ae8d-4071-a8d3-aea3e12bef02 · outbound

This paper cites Mocogan: Decomposing motion and content for video generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Mocogan: Decomposing motion and content for video generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1264607-66fa-4fbc-aa1a-1ed2c39b24a0 · outbound

This paper cites UniFOLM-WMA-0: A world-model-action (wma) framework under UniFOLM family, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models UniFOLM-WMA-0: A world-model-action (wma) framework under UniFOLM family, 2025

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18df11a5-8698-469f-ae9d-039594313bad · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.176706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 080dd672-301c-432c-beff-fb72cba38d53 · outbound

This paper cites How close are world models to the physical world?arXiv preprint arXiv:2501.xxxxx, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models How close are world models to the physical world?arXiv preprint arXiv:2501.xxxxx, 2025

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946167d5-d460-4ba5-ab16-6331f16e8872 · outbound

This paper cites Phenaki: Variable Length Video Generation From Open Domain Textual Description.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Phenaki: Variable Length Video Generation From Open Domain Textual Description

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.046561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8dbc399c-0761-46ee-a89a-69b611b86003 · outbound

This paper cites Generating videos with scene dynamics.Advances in neural information processing systems, 29, 2016.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Generating videos with scene dynamics.Advances in neural information processing systems, 29, 2016

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5325b6c0-740c-4b8a-9831-3ebdedc48950 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.169842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e2224ea-c61a-490d-88c8-980f2bb8fb53 · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.077252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c04f754-c2c4-49d2-9fbb-b7f5a5cc91d2 · outbound

This paper cites Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025a.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025a

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.140390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24f75957-786b-4dfe-93ef-5129a7a5472c · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.117848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58f0d558-e674-41c1-b0fd-59594131ca80 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.065286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e2c0d80-0a6c-4434-8fa2-75abfb114abe · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.179257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 219bff66-5671-45f5-b59f-eddbdef9677b · outbound

This paper cites Omni-WorldBench: Towards a comprehensive interaction-centric evaluation for world models.arXiv preprint arXiv:2603.22212, 2026.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Omni-WorldBench: Towards a comprehensive interaction-centric evaluation for world models.arXiv preprint arXiv:2603.22212, 2026

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.196990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 593a04dc-d92c-487a-9099-3a322d71a3d9 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Infinite-World: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.184436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bac2e25f-0ffe-4d7f-8264-4068164159a7 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models arXiv preprint arXiv:2504.12369 , year=

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.079970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba32537c-dce8-4497-acb5-c23187971e83 · outbound

This paper cites WorldMark: A Unified Benchmark Suite for Interactive Video World Models.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models WorldMark: A Unified Benchmark Suite for Interactive Video World Models

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.145661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03bbca4f-6a72-43a4-bd42-0d171f8181fd · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.152501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b5e95b31-779b-44b3-8f37-832344776485 · outbound

This paper cites Learning Interactive Real-World Simulators.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Learning Interactive Real-World Simulators

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.079542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 63c32d4d-a49e-46bc-a541-9aa5de1f03bd · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Longlive: Real-time interactive long video generation

Reference 87

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c646c6-285b-4e6b-8955-8d5684e6a612 · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.194339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e33b51ff-059e-45b9-8a74-dd3809420bc0 · outbound

This paper cites Yan: Foundational interactive video generation, 2025.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Yan: Foundational interactive video generation, 2025

Reference 89

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2eb81f-c57c-4451-be05-7da8abd9cdfc · outbound

This paper cites Mind: Benchmarking memory consistency and action control in world models, 2026.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Mind: Benchmarking memory consistency and action control in world models, 2026

Reference 90

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d47625e7-5a5e-4634-a605-177a2d0549ea · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.167229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93333b36-21f1-4840-8716-1ab11677e31c · outbound

This paper cites Nuwa-xl: Diffusion over diffusion for extremely long video generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Nuwa-xl: Diffusion over diffusion for extremely long video generation

Reference 92

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99d5eb1-efaa-4e26-addf-cef51050d486 · outbound

This paper cites Magvit: Masked generative video transformer.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Magvit: Masked generative video transformer

Reference 93

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811b914f-efc3-4dc9-b2d4-a68e2f82d472 · outbound

This paper cites Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation

Reference 94

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8681f0-17d0-43f5-af2f-3cb9ea5aac46 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487, 2024a.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487, 2024a

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:22:35.164500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c3134f0-8a4e-45be-a330-8cc504dc63b1 · outbound

This paper cites Packing input frame context in next-frame prediction models for video generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Packing input frame context in next-frame prediction models for video generation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f87a064-6d35-4cfc-b1b4-9456da40bfc9 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models The unreasonable effectiveness of deep features as a perceptual metric

Reference 97

Resolution: unresolved; no resolver link, observed 2026-06-28T19:04:58.672464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39305a2-4a6b-41ef-ad91-b22585cceff1 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.113216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e601acf-e865-4f6b-8696-b9a30703d0a6 · outbound

This paper cites LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation

Reference 99

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.151377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4eb2d6c1-03ef-4251-88a7-152c73e06aed · outbound

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

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:35.177383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 70403776-aa78-497c-80e5-560eb357732b · inbound

Current World Models Lack a Persistent State Core cites this paper.

Current World Models Lack a Persistent State Core MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:49:30.965350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a1d00f9-c940-4488-bcce-40c3f1c4b11b · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

Reference 279

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T07:14:45.274747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a357498d-905d-409f-bfbb-9cb9e3313398 · inbound

From Pixels to States: Rethinking Interactive World Models as Game Engines cites this paper.

From Pixels to States: Rethinking Interactive World Models as Game Engines MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-02T02:52:21.297924Z

Source-reported events for the cited work

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Observation 1a1b349b-7eca-424a-afc7-de60fb2d1b2a · inbound

Persistent Computational State: A Session-Centric Runtime for Generative World Models cites this paper.

Persistent Computational State: A Session-Centric Runtime for Generative World Models MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

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