Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-01T05:30:56.140465Z
Paper Citation Record · LEDGER
MemLearner: Learning to Query Context memory for Video World Models
As of 6 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2606.31734.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T06:35:29.083742Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
75 of 75 outbound references displayed
- verified exact14
- verified fuzzy19
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch32
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d8c796a4-132c-4d00-9fa2-4fd248f67f1f · outbound
This paper cites MAGI-1: Autoregressive Video Generation at Scale.
MemLearner: Learning to Query Context memory for Video World Models MAGI-1: Autoregressive Video Generation at Scale
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:25:41.913503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7317523-9916-46a6-a70a-de4ea7b69bee · outbound
This paper cites Advances in neural information processing systems35, 23716– 23736 (2022).
MemLearner: Learning to Query Context memory for Video World Models Advances in neural information processing systems35, 23716– 23736 (2022)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.157923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 18343c31-284e-4b4d-bcea-e216b7bff1d3 · outbound
This paper cites Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames.
MemLearner: Learning to Query Context memory for Video World Models Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.855643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c4a367f4-f10c-4e9d-8bd4-12721e2f95bb · outbound
This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
MemLearner: Learning to Query Context memory for Video World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.906075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 10e80f2b-a20f-46ef-b919-bdd34158fde6 · outbound
This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.
MemLearner: Learning to Query Context memory for Video World Models ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.908158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f5639ada-9b07-40f7-9a3d-e245feec0764 · outbound
This paper cites Yu et al.
MemLearner: Learning to Query Context memory for Video World Models Yu et al
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.150219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23814f50-bb84-46bd-bfab-beb691e994f2 · outbound
This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
MemLearner: Learning to Query Context memory for Video World Models Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.915950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 78791b75-3313-4bd5-ab33-f70ab5e57118 · outbound
This paper cites Advances in neural information processing systems33, 1877–1901 (2020).
MemLearner: Learning to Query Context memory for Video World Models Advances in neural information processing systems33, 1877–1901 (2020)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.168179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ac3e153b-5d67-49c9-952a-95897ad4d431 · outbound
This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.175612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da3f998c-412c-47bc-8cd9-61226e1631d6 · outbound
This paper cites In: arXiv (2025).
MemLearner: Learning to Query Context memory for Video World Models In: arXiv (2025)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.170029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9a926ef8-df17-4961-bc3d-caf26cc92a50 · outbound
This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.
MemLearner: Learning to Query Context memory for Video World Models Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.905323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 75c8dab1-c976-4b09-922f-1389cc1c5fa0 · outbound
This paper cites VRAG: Learning World Models for Interactive Video Generation.
MemLearner: Learning to Query Context memory for Video World Models VRAG: Learning World Models for Interactive Video Generation
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.910723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2e29b78c-b609-4728-83b4-357d09374928 · outbound
This paper cites Self-Forcing++: Towards Minute-Scale High-Quality Video Generation.
MemLearner: Learning to Query Context memory for Video World Models Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.903498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c98223a1-3a5a-450e-be53-536016f92f0f · outbound
This paper cites Emu3.5: Native Multimodal Models are World Learners.
MemLearner: Learning to Query Context memory for Video World Models Emu3.5: Native Multimodal Models are World Learners
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:25:41.921325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9fb31033-1492-4bf4-bd9f-847bddc84627 · outbound
This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) (2018).
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.163093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b199cec6-ad40-408a-9f81-9d756eafff11 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.165957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9d0de4d9-f4e4-46ca-9ee1-936be45d5336 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:56.378054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c999d9ed-8cc8-44a0-9c0c-b14696254935 · outbound
This paper cites Autoregressive Video Generation without Vector Quantization.
MemLearner: Learning to Query Context memory for Video World Models Autoregressive Video Generation without Vector Quantization
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.898990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 84cba3e3-b30b-4ead-9651-679b279b5dae · outbound
This paper cites In: ICLR (2025).
MemLearner: Learning to Query Context memory for Video World Models In: ICLR (2025)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:42:55.781411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 54ef385e-cd60-4df5-b5f5-ebede4a10af2 · outbound
This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.
MemLearner: Learning to Query Context memory for Video World Models Long-Context Autoregressive Video Modeling with Next-Frame Prediction
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.883012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6b89e04f-fe3f-4a2c-9f67-ee55b7245510 · outbound
This paper cites Long Context Tuning for Video Generation.
MemLearner: Learning to Query Context memory for Video World Models Long Context Tuning for Video Generation
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.893817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82bb8e3d-c4e3-4070-b98c-b0dec0973ee0 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:56.363212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aae2484c-f770-4b70-a50d-812a7bb414ca · outbound
This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.
MemLearner: Learning to Query Context memory for Video World Models CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:25:41.908460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation afa6254d-dba9-4036-803b-59356d35d420 · outbound
This paper cites Classifier-Free Diffusion Guidance.
MemLearner: Learning to Query Context memory for Video World Models Classifier-Free Diffusion Guidance
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.892002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cae09e41-14cb-401d-8834-fe323949b14b · outbound
This paper cites Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040.
MemLearner: Learning to Query Context memory for Video World Models Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.897139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 12793a0a-e0bb-41bd-8971-dd9f8a2f5ca2 · outbound
This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
MemLearner: Learning to Query Context memory for Video World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.899992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a18952b9-13f4-40bd-bd17-3d811a25faa6 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024).
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.153991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8a4e114c-3eef-4c31-900f-bafe3caed023 · outbound
This paper cites Nature638(8051), 656–663 (2025).
MemLearner: Learning to Query Context memory for Video World Models Nature638(8051), 656–663 (2025)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.152130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 681661fa-5577-4f48-b633-dbc5863dae0c · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.144449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 18414c1c-451c-4e81-bd55-b39d542d5a54 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.146414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b9ec92f2-ce38-4bc6-bc7d-c4d9638dab89 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.148291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d09c0f50-9b73-4199-9535-72598503a29a · outbound
This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.
MemLearner: Learning to Query Context memory for Video World Models VideoPoet: A Large Language Model for Zero-Shot Video Generation
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.910873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5194b4d8-d4c6-4d11-ad92-971724e51a0b · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
MemLearner: Learning to Query Context memory for Video World Models HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.913335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8c5e2fdc-c89a-451b-aa6f-839914c1cc71 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.155823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 816534a7-565c-4a14-9596-9814748547c7 · outbound
This paper cites In: International conference on machine learning.
MemLearner: Learning to Query Context memory for Video World Models In: International conference on machine learning
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.159902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f7f4d308-7a1d-48e0-b60e-b026f81abe37 · outbound
This paper cites VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory.
MemLearner: Learning to Query Context memory for Video World Models VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.888623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1ac16127-092b-4769-94aa-2905eb528ac3 · outbound
This paper cites Autoregressive Image Generation without Vector Quantization.
MemLearner: Learning to Query Context memory for Video World Models Autoregressive Image Generation without Vector Quantization
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.896692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17dbca03-176d-42f7-8cd7-2043e9a48df9 · outbound
This paper cites Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212.
MemLearner: Learning to Query Context memory for Video World Models Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.861034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7e34d0c9-71cf-440b-b908-fdd8adc2fdf6 · outbound
This paper cites Sekai: A video dataset towards world exploration.
MemLearner: Learning to Query Context memory for Video World Models Sekai: A video dataset towards world exploration
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.849473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 67c37e6f-b2e7-49d8-83d2-9be801eb0453 · outbound
This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision (2025).
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF international conference on computer vision (2025)
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.140613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation caa55e36-23fa-416d-8b9d-c8db606074da · outbound
This paper cites Rolling Forcing: Autoregressive Long Video Diffusion in Real Time.
MemLearner: Learning to Query Context memory for Video World Models Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.915944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7fb6c6e3-cebc-402a-b540-9085c512c474 · outbound
This paper cites You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale.
MemLearner: Learning to Query Context memory for Video World Models You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.860876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b2c96aa3-b62a-4177-8817-3d0a47eef048 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.142488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 81a84eb7-8fb1-4ae8-99f9-ead925a67836 · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2023).
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2023)
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.132982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aa774030-1094-409a-b8ea-c2344f10c2e0 · outbound
This paper cites Long-Context State-Space Video World Models.
MemLearner: Learning to Query Context memory for Video World Models Long-Context State-Space Video World Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.872252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aea3eaaa-479d-42eb-9dd9-6574935f633c · outbound
This paper cites In: International conference on machine learning (2021).
MemLearner: Learning to Query Context memory for Video World Models In: International conference on machine learning (2021)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.134912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 04f205f9-923d-4577-9eff-6ed2399902e5 · outbound
This paper cites GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control.
MemLearner: Learning to Query Context memory for Video World Models GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.880404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b987a8e7-7a66-4969-a198-544585e4ffb1 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.138753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 84c63bd2-aaf7-4a3c-b20f-6dfe87c726f5 · outbound
This paper cites History-Guided Video Diffusion.
MemLearner: Learning to Query Context memory for Video World Models History-Guided Video Diffusion
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.919041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6d647461-2589-4cc2-a54b-a8e47a753a79 · outbound
This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.
MemLearner: Learning to Query Context memory for Video World Models WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.853105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0432838b-d6ee-487d-9491-890efb8ee03c · outbound
This paper cites Diffusion Models Are Real-Time Game Engines.
MemLearner: Learning to Query Context memory for Video World Models Diffusion Models Are Real-Time Game Engines
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.891328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 12624228-3b4e-4d3e-a2d3-55da533fbc2c · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
MemLearner: Learning to Query Context memory for Video World Models Wan: Open and Advanced Large-Scale Video Generative Models
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.836084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d07a1447-45c7-45f5-9389-ca870f8e7605 · outbound
This paper cites Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025a.
MemLearner: Learning to Query Context memory for Video World Models Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025a
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.830907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c33ce58a-702d-4ced-b31d-5e2776be1de2 · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
MemLearner: Learning to Query Context memory for Video World Models Emu3: Next-Token Prediction is All You Need
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.833228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2bba5cca-22dd-49eb-b132-e98335b05796 · outbound
This paper cites In: ACM SIGGRAPH 2024 Conference Papers (2024).
MemLearner: Learning to Query Context memory for Video World Models In: ACM SIGGRAPH 2024 Conference Papers (2024)
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.126584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e4e4f89e-2fa9-4b30-8169-d9633376bce8 · outbound
This paper cites Video World Models with Long-term Spatial Memory.
MemLearner: Learning to Query Context memory for Video World Models Video World Models with Long-term Spatial Memory
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.838697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2709d5c1-48e3-48ab-a179-a185295505ec · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.128817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 265ec9f6-814f-4f2b-8463-8bdcce49c448 · outbound
This paper cites arXiv preprint arXiv:2504.12369 , year=.
MemLearner: Learning to Query Context memory for Video World Models arXiv preprint arXiv:2504.12369 , year=
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.846449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f33a7c57-0642-4630-bc56-ed301e2b561d · outbound
This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.
MemLearner: Learning to Query Context memory for Video World Models VideoGPT: Video Generation using VQ-VAE and Transformers
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.872227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation afaa112b-8b63-4005-b62b-ca90d465f046 · outbound
This paper cites In: Proceedings of the 41st International Conference on Machine Learning (2024).
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the 41st International Conference on Machine Learning (2024)
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.122371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8746157e-ccd6-4889-bb38-21511a3953ef · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.120347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9bb7f45-bd7e-40c9-bcc9-e66f8a66cfa0 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
MemLearner: Learning to Query Context memory for Video World Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 62
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.828161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17abb7ed-3b89-4867-be70-77e2668940d6 · outbound
This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.
MemLearner: Learning to Query Context memory for Video World Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Reference 63
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.817110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 393f630b-cfc2-4b5a-a16f-a387359afdab · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.124546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 44e5c282-180f-4269-ae33-5536e43c23dc · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
MemLearner: Learning to Query Context memory for Video World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T21:32:57.130980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7bf165a4-308a-412f-8e7b-143ac53ad726 · outbound
This paper cites Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval.
MemLearner: Learning to Query Context memory for Video World Models Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.877273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 764f8600-24b9-4a67-b451-03bfe4c7113a · outbound
This paper cites A Survey of Interactive Generative Video.
MemLearner: Learning to Query Context memory for Video World Models A Survey of Interactive Generative Video
Reference 67
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.811839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d87793ea-c4cc-475f-a2fa-983dfdeb384c · outbound
This paper cites Position: Interactive Generative Video as Next-Generation Game Engine.
MemLearner: Learning to Query Context memory for Video World Models Position: Interactive Generative Video as Next-Generation Game Engine
Reference 68
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.819798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8295003-00f8-4813-a388-0e2464ae6b08 · outbound
This paper cites an unresolved cited work.
MemLearner: Learning to Query Context memory for Video World Models Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T21:32:57.136862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1b1944bf-bab8-4e10-aa3c-0cda17ff2167 · outbound
This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.
MemLearner: Learning to Query Context memory for Video World Models ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Reference 70
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.810794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9c4e45ad-e197-411c-a260-d00cdf4cb04b · outbound
This paper cites Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala.
MemLearner: Learning to Query Context memory for Video World Models Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.874804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3e632ca4-59da-4162-9a96-2926a0c6a59e · outbound
This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.
MemLearner: Learning to Query Context memory for Video World Models DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:41.850838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fd39595d-301a-4a34-b854-dfaa4c1b5689 · outbound
This paper cites Learning 3D Persistent Embodied World Models.
MemLearner: Learning to Query Context memory for Video World Models Learning 3D Persistent Embodied World Models
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.879808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea32659f-6a06-4cf6-8112-b07271200be9 · outbound
This paper cites Omniworld: A multi-domain and multi-modal dataset for 4d world modeling.
MemLearner: Learning to Query Context memory for Video World Models Omniworld: A multi-domain and multi-modal dataset for 4d world modeling
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.837376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cae434dd-a0cc-4eb1-9612-8db8fb619020 · outbound
This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.
MemLearner: Learning to Query Context memory for Video World Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:25:41.866546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 32357189-8840-4fc4-92d5-5f079e1f3ae0 · inbound
Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering cites this paper.
Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering MemLearner: Learning to Query Context memory for Video World Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:35:29.083742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.