Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T03:26:19.198670Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.23181.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-01T03:26:19.198670Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
68 of 68 outbound references displayed
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Observation 1543a9b6-d811-4830-8b25-842e710e9c9b · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Aligning cyber space with physical world: A comprehensive survey on embodied ai,
Reference 1
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Observation dad256b8-f2ec-4a80-8955-165b6e4720e1 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation A Survey on Robotics with Foundation Models: toward Embodied AI
Reference 2
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Observation e0e1dfde-c087-432b-8f6d-f7777281eea5 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Beyond the nav-graph: Vision and language navigation in continuous environments,
Reference 3
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Observation a6a320fc-374d-41f0-b2ef-1cd372d368dd · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Bridging the gap between learning in discrete and continuous en- vironments for vision-and-language navigation,
Reference 4
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Observation 9bff19d4-2fe1-418d-97eb-86d9b67621df · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Matterport3D: Learning from RGB-D Data in Indoor Environments
Reference 5
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Observation d3a2d63d-db1c-490c-9ed0-1c659ffe8fb6 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Towards long-horizon vision-language navigation: Platform, benchmark and method,
Reference 6
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Observation f92ee1f3-9552-4f6f-a86b-babaeffd1511 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,
Reference 7
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Observation ae2e058f-32bc-4639-b2bc-ab9a4561dd83 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Perceiver IO: A General Architecture for Structured Inputs & Outputs
Reference 8
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Observation cfa80771-e8bb-47b1-979e-308e94bc8a20 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Flamingo: a visual language model for few-shot learning,
Reference 9
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Observation 92eb84c2-2bcd-48d2-b0b0-7014200d7bd7 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
Reference 10
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Observation ecce2c54-2a46-4517-b5dc-6ba247e2a2ea · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Span-nav: Generalized spatial awareness for versatile vision-language navigation,
Reference 11
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Observation c4480d23-03c6-4b56-8ccf-e2fd385735f8 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Structured Observation Language for Efficient and Generalizable Vision-Language Navigation
Reference 12
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Observation 033cad07-65c0-4a57-b4ab-173e856692cf · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Navforesee: A unified vision-language world model for hierarchical planning and dual-horizon navigation prediction,
Reference 13
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Observation 36f748de-f012-4c69-85ab-0ec337fbda4e · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Mapdream: Task-driven map learning for vision-language navigation,
Reference 14
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Observation a77e19a2-6188-49d3-bf39-d92c66494f74 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,
Reference 15
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Observation 12ba6ac8-4c30-4505-a73f-5a78cd6c547d · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Room-across-room: Multilingual vision-and- language navigation with dense spatiotemporal grounding,
Reference 16
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Observation af713ca6-51f8-4a43-bebd-0b40b56e6cc3 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Cosmo: Combination of selective memorization for low-cost vision-and-language navigation,
Reference 17
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Observation d71e7220-74a9-4f08-b44e-16a5d8089a72 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation 3d gaussian map with open-set semantic grouping for vision-language navigation,
Reference 18
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Observation 73b7b311-089d-4fc2-bd28-412dbbc65400 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Etpnav: Evolving topological planning for vision-language navigation in continuous environments,
Reference 19
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Observation 33b3d023-5eb4-4571-be07-19f7b42523a9 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Dreamwalker: Mental planning for continuous vision- language navigation,
Reference 20
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Observation 9280c9ef-0803-4978-a4bb-925df3a72173 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Lookahead exploration with neural radiance representation for continuous vision-language navigation,
Reference 21
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Observation e171ff47-c52f-4168-9b41-66264d09b133 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Navgpt: Explicit reasoning in vision-and-language navigation with large language models,
Reference 22
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Observation d602a1c9-fd03-4ada-853f-3883742f3fae · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation
Reference 23
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Observation eb45f875-bba9-44ae-a15d-e832b434ccd8 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks
Reference 24
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Observation 7b9be73c-fe2f-4bf4-b991-db29888e2848 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
Reference 25
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Observation 2324cbe7-691c-44d6-8364-5693e57377f0 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Dream to Control: Learning Behaviors by Latent Imagination
Reference 26
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Observation 4fcc13c2-3ca8-40ad-8f5f-589c8646421b · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Learning latent dynamics for planning from pixels,
Reference 27
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Observation 265013e2-a883-48fc-ad83-7dcdd5c5c1bb · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Pathdreamer: A world model for indoor navigation,
Reference 28
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Observation 86774cf2-987d-4613-9e14-a40661e47193 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Panogen: Text-conditioned panoramic environment generation for vision-and- language navigation,
Reference 29
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Observation f991e654-ca05-425f-8ddf-aae835df3fe9 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Do visual imaginations improve vision-and-language navigation agents?
Reference 30
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Observation 884692f4-cc5f-4464-add7-c58fb3609d2c · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Navmorph: A self-evolving world model for vision-and-language navigation in continuous environments,
Reference 31
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Observation d2477e33-35cd-4bd7-8736-a9bb632fb8b2 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation
Reference 32
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Observation 0d0b3b89-d582-4ff8-a181-719840c361dd · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Navigation world models,
Reference 33
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Observation 68d25112-d192-46bd-9340-03aeb4a6d3e1 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation The expression of a tensor or a polyadic as a sum of products,
Reference 34
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Observation 169de0c5-32ff-4053-9a1c-023f9a84d16c · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Some mathematical notes on three-mode factor analysis,
Reference 35
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Observation 67c74862-7d94-4424-b667-0e3cfc00d87f · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Disentangling factors of variation in deep representations using adversarial training
Reference 36
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Observation b8d29965-615d-40a2-a8b2-b62f2a2c5835 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Hamiltonian latent operators for content and motion disentanglement in image sequences,
Reference 37
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Observation a25656f3-e7e4-47e0-8793-70c27f10d831 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Iso-dream: Isolating and leveraging noncontrollable visual dynamics in world models,
Reference 38
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Observation 0fcc3d26-ca53-40db-b1a1-3a05098615ca · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation AdaWorld: Learning Adaptable World Models with Latent Actions
Reference 39
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Observation f2bcc129-7ad7-4880-82c5-ed3c0c899b53 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Factored Latent Action World Models
Reference 40
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Observation df0c69d3-710d-43f7-b214-086d5db17f22 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Compressing neural networks using the variational information bottleneck,
Reference 41
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Observation 242e0bd2-5197-4123-9615-7d66c4892370 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
Reference 42
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Observation 2d91c6ef-cf2b-4dab-891f-340f62ead431 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Attention-Based Guided Structured Sparsity of Deep Neural Networks
Reference 43
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Observation 6df6b89a-4594-4fa5-bdaa-e6038b864025 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Learning latent dynamic robust representations for world models,
Reference 44
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Observation 6b4af7ba-75ed-4da6-a22d-74e9fcf1a821 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
Reference 45
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Observation c518e69c-dbe0-4402-a81f-c67ff2897e50 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Enhanced structured lasso pruning with class-wise information,
Reference 46
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Observation 4281c3b9-4974-4963-b353-57acb2594cae · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Object-centric learning with slot attention,
Reference 47
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Observation 47d2cd77-f1d9-4740-bb0b-b1424a25cd08 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Qwen2.5 Technical Report
Reference 48
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Observation 70c3d765-cbc9-4994-a541-b81e096cfdd1 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Tensor decompositions and applications,
Reference 49
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Observation 5d1612b5-3e74-4084-9183-e3d8f1b719a5 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Tensorizing neural networks,
Reference 50
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Observation c36c752a-67d2-42d8-8463-0ec33cb781b9 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Deep Variational Information Bottleneck
Reference 51
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Observation 9b199ddd-48a7-4b9a-b89d-45cdab281688 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation The information bottleneck method
Reference 52
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Observation 4d2e72bf-55e3-4d27-a68f-5ce0d0b2cd87 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Sim-2-sim transfer for vision-and-language navigation in continuous environments,
Reference 53
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Observation 6d708582-f21a-4849-891c-655cc7a777e9 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Bridging the gap between learning in discrete and continuous environments for vision-and-language navigation,
Reference 54
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Observation 6399b1a6-e056-4e40-b7f2-b4d8d0c40d10 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Dreamwalker: Mental planning for continuous vision- language navigation,
Reference 55
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Observation b9c32144-3293-4884-9531-3e56639c8a79 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Gridmm: Grid memory map for vision-and-language navigation,
Reference 56
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Observation 0899cc28-37fb-4e2e-b629-ba12eccde1ed · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation BEVBert: Multimodal Map Pre-training for Language-guided Navigation
Reference 57
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Observation 6c6208cd-036d-4790-8d12-6b73e3219350 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Fast-slow test-time adaptation for online vision-and-language navigation,
Reference 58
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Observation 64ae8c9c-df64-4ef5-8433-a9de0d576f88 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Language-aligned waypoint (law) supervi- sion for vision-and-language navigation in continuous environments,
Reference 59
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Observation 06fad732-dd8d-492f-8382-863321962362 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation
Reference 60
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Observation ed6979da-f556-412c-9d42-8254340c37a0 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
Reference 61
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Observation 4b85743e-5f66-48a6-add6-e28ff659a34b · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping
Reference 62
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Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 63
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Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Deep residual learning for image recognition,
Reference 64
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Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Cross- modal map learning for vision and language navigation,
Reference 65
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Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Reference 66
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Observation 9445d9d9-0ecb-4833-b8f5-612d81dfb01d · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 67
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Observation c87af2bf-3a10-4f05-83d5-2e3ae50a5259 · outbound
Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Learning Latent Dynamic Robust Representations for World Models
Reference 2024
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No inbound Pith citation observations are available.