Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T20:00:20.895672Z
Paper Citation Record · LEDGER
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?
As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2511.17792.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T17:47:00.822691Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T17:56:25.534098Z
Reference resolution
39 of 39 outbound references displayed
- verified exact13
- verified fuzzy24
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c7915670-d168-4786-8e70-7a01f70ec324 · outbound
This paper cites EgoWalk: A Multimodal Dataset for Robot Navigation in the Wild.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? EgoWalk: A Multimodal Dataset for Robot Navigation in the Wild
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.165482Z
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 0e846d1c-fed1-41de-994d-979432838b30 · outbound
This paper cites Diffusion for world modeling: Visual details matter in atari.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Diffusion for world modeling: Visual details matter in atari
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.684788Z
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 fe3a98df-c051-4185-a46e-ba98e964bfb5 · outbound
This paper cites V-jepa 2: Self-supervised video models enable understanding, prediction and planning.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? V-jepa 2: Self-supervised video models enable understanding, prediction and planning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.698700Z
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 b96247be-4946-4918-a011-6af790185c67 · outbound
This paper cites an unresolved cited work.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T20:02:04.687810Z
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 88c36411-580e-4ede-82a4-f10f2c07ab8d · outbound
This paper cites Video generation models as world simulators.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Video generation models as world simulators
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.654462Z
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 e14be53c-18a5-4b96-a3a9-c2c4e788c25b · outbound
This paper cites Genie: Gener- ative interactive environments.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Genie: Gener- ative interactive environments
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.670054Z
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 e879c631-951f-4154-8cd8-6b3f64b7a575 · outbound
This paper cites Veo 3: Advanced controllable video gen- eration with physics-aware dynamics.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Veo 3: Advanced controllable video gen- eration with physics-aware dynamics
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.649495Z
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 4d2239f3-8704-4835-b50d-3f300e7aba46 · outbound
This paper cites Worldscore: A unified evaluation benchmark for world generation.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Worldscore: A unified evaluation benchmark for world generation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.200481Z
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 086c6f0b-c1f9-47ab-a456-8f32bc0a2ce3 · outbound
This paper cites Foundation models in autonomous driving: A survey on scenario generation and scenario analysis.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Foundation models in autonomous driving: A survey on scenario generation and scenario analysis
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.216915Z
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 af496ad0-0cfc-42f6-85f5-ed1a6091a0a2 · outbound
This paper cites Recurrent world models facilitate policy evolution.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Recurrent world models facilitate policy evolution
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.667103Z
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 9941beed-b716-476e-8166-dc1f0b4093f6 · outbound
This paper cites Dream to control: Learning behaviors by la- tent imagination.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Dream to control: Learning behaviors by la- tent imagination
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.678141Z
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 10a9036d-ee5b-4987-9185-1060f1ce7f35 · outbound
This paper cites Sacson: Scalable autonomous control for social nav- igation.IEEE Robotics and Automation Letters, 9(1):49–56.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Sacson: Scalable autonomous control for social nav- igation.IEEE Robotics and Automation Letters, 9(1):49–56
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.679193Z
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 fd0351b4-3e71-4b13-8bfe-53faba1b370f · outbound
This paper cites Lelan: Learning a language-conditioned navigation policy from in-the-wild video.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Lelan: Learning a language-conditioned navigation policy from in-the-wild video
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.690396Z
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 cdce8967-421a-45db-97ec-d4585303b9ab · outbound
This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? ViPE: Video Pose Engine for 3D Geometric Perception
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.189139Z
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 d4d09d6f-958d-4766-9894-2e84dff4a948 · outbound
This paper cites Vbench: Comprehensive bench- mark suite for video generative models.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Vbench: Comprehensive bench- mark suite for video generative models
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.628964Z
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 6c2a9b9f-f9c2-4bf5-875f-cffdd79ec5a2 · outbound
This paper cites Socially compliant navigation dataset (scand): A large-scale dataset of demonstrations for social navigation.IEEE Robotics and Automation Letters, 7 (4):11807–11814.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Socially compliant navigation dataset (scand): A large-scale dataset of demonstrations for social navigation.IEEE Robotics and Automation Letters, 7 (4):11807–11814
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.658225Z
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 ad3e4651-87c4-4783-9ef0-7e89f8a46caa · outbound
This paper cites G2o: A general framework for graph optimization.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? G2o: A general framework for graph optimization
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.634720Z
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 262abffb-45bf-404e-ad0f-3848f3245baa · outbound
This paper cites A path towards autonomous machine intelli- gence version 0.9.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? A path towards autonomous machine intelli- gence version 0.9
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.664609Z
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 946087ec-6f39-4e6b-9692-9a9f9439eb45 · outbound
This paper cites Robotic world model: A neural network simulator for robust policy optimization in robotics.arXiv preprint arXiv:2501.10100, 2025a.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Robotic world model: A neural network simulator for robust policy optimization in robotics.arXiv preprint arXiv:2501.10100, 2025a
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.177714Z
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 f984ec2a-c375-422a-8221-dcdd0497b531 · outbound
This paper cites WorldModelBench: Judging Video Generation Models As World Models.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? WorldModelBench: Judging Video Generation Models As World Models
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T20:02:04.206212Z
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 672f31fe-a14f-4da4-80b5-f86b490cdb0b · outbound
This paper cites Citywalker: Learning embodied urban navigation from web-scale videos.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Citywalker: Learning embodied urban navigation from web-scale videos
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.666394Z
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 ac6a3000-994e-48ad-a416-f3e6d447c620 · outbound
This paper cites A Survey: Learning Embodied Intelligence from Physical Simulators and World Models.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.230977Z
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 8e4df65d-ec4f-46d9-81b1-f84dcdd8e9a5 · outbound
This paper cites Diffsynth-studio: examples/wanvideo.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Diffsynth-studio: examples/wanvideo
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.663589Z
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 43edeea1-a160-40b7-becb-a817ee85595f · outbound
This paper cites Toward human-like social robot navigation: A large-scale, multi-modal, social human navigation dataset.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Toward human-like social robot navigation: A large-scale, multi-modal, social human navigation dataset
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.695735Z
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 77cee43b-b4bb-4bf9-b536-b608f6e86948 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Cosmos World Foundation Model Platform for Physical AI
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.183417Z
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 c9187cbf-13f0-48ad-b32f-b99bd3bfa30f · outbound
This paper cites Learning view-invariant world models for vi- sual robotic manipulation.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Learning view-invariant world models for vi- sual robotic manipulation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.669512Z
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 f3370505-bdaf-4c06-ab7d-851b57d11176 · outbound
This paper cites Genie 2: A large-scale foundation world model.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Genie 2: A large-scale foundation world model
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.672430Z
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 825d86bc-1db2-446d-b177-f204352a4314 · outbound
This paper cites Generalized-ICP.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Generalized-ICP
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.692826Z
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 4c8275e4-6df4-4bf8-ba8d-9169ea0f8b5c · outbound
This paper cites Sora 2 is here: Our latest video generation model is more physically accurate, realistic, and more controllable than prior systems.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Sora 2 is here: Our latest video generation model is more physically accurate, realistic, and more controllable than prior systems
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.661604Z
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 cd948287-2d84-4021-a16c-45ef7b27bdf3 · outbound
This paper cites Unifolm-wma-0: A world-model-action (wma) framework under unifolm family.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Unifolm-wma-0: A world-model-action (wma) framework under unifolm family
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.651951Z
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 175c0f5a-ae36-416d-b8b2-9333249bdf55 · outbound
This paper cites Sanpo: A scene understanding, accessibility and human navigation dataset.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Sanpo: A scene understanding, accessibility and human navigation dataset
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.637759Z
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 c5cdb0dc-c67d-41ee-815e-7cc3cd5d1e1b · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Wan: Open and Advanced Large-Scale Video Generative Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.159116Z
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 ffdaadea-1e8c-48dd-b5a8-7fcd81636743 · outbound
This paper cites Enhancing physical consistency in lightweight world models.arXiv preprint arXiv:2509.12437.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Enhancing physical consistency in lightweight world models.arXiv preprint arXiv:2509.12437
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.195187Z
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 542bac8c-6443-4746-b0c1-09db983269d7 · outbound
This paper cites Vggt: Visual geometry grounded transformer.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Vggt: Visual geometry grounded transformer
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.681831Z
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 6e03a2a8-bdb5-47e1-b374-98b9b0fffd5d · outbound
This paper cites Video models are zero-shot learners and reasoners.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Video models are zero-shot learners and reasoners
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.211945Z
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 edfd56d0-f3c3-4f32-8b4f-81a2bb0096f4 · outbound
This paper cites Spatialtrackerv2: 3d point tracking made easy.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Spatialtrackerv2: 3d point tracking made easy
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:02:04.676536Z
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 d1ff0185-3f70-425f-a363-857e497202a6 · outbound
This paper cites Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.221770Z
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 1f833be3-3dce-4e70-ad2e-3f4c45f63ce1 · outbound
This paper cites World-in-world: World models in a closed-loop world.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? World-in-world: World models in a closed-loop world
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:02:04.171696Z
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 f73a1f6a-9c56-4204-8e57-c48f88417622 · outbound
This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.226613Z
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 4c328b02-8534-4e26-848a-e40aea0c2f9a · inbound
WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models cites this paper.
WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:41:05.794467Z
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 e1753fda-f8fa-45a9-ac42-1e21a4967246 · inbound
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators cites this paper.
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T17:56:25.536427Z
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.