Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T17:01:13.350219Z
Paper Citation Record · LEDGER
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation
As of 5 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2604.08232.
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 2026-08-05T06:32:48.257954+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
Reference resolution
49 of 49 outbound references displayed
- verified exact35
- verified fuzzy13
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 63e1bc91-870d-4aab-9d36-b2c641d5d677 · outbound
This paper cites Qwen2.5-VL Technical Report.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Qwen2.5-VL Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.423245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 08b80605-3bd9-4cba-b28e-621a1fb7e6cb · outbound
This paper cites ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.411519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cc1ed114-7c05-414e-8919-0ff1995b280d · outbound
This paper cites CL-CoTNav: Closed-Loop Hierarchical Chain-of-Thought for Zero-Shot Object-Goal Navigation with Vision-Language Models.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation CL-CoTNav: Closed-Loop Hierarchical Chain-of-Thought for Zero-Shot Object-Goal Navigation with Vision-Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.449382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4de19eb7-4fa8-467a-bd95-81c8ee95b889 · outbound
This paper cites CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.420570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 62b25f82-9524-4443-8d54-8cf80a22a0a2 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Evaluating Large Language Models Trained on Code
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.474534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5e3b2393-90a8-4ea3-84f6-6ad3824b90c3 · outbound
This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36db350c-d7f4-4364-9154-3106a2bf5bec · outbound
This paper cites NaVILA: Legged Robot Vision-Language-Action Model for Navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation NaVILA: Legged Robot Vision-Language-Action Model for Navigation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.469951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18429ce5-426a-4ef9-a8d2-7b214ee8078c · outbound
This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T12:31:34.026635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df5a5ad9-33f6-41f3-a21b-ed4e07eee4a3 · outbound
This paper cites Gemini pro.https : / / deepmind.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Gemini pro.https : / / deepmind
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.478430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b00d08bf-6cc8-444d-8e14-dee260877ed1 · outbound
This paper cites Agentic Reinforced Policy Optimization.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Agentic Reinforced Policy Optimization
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:57:12.173630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation efdd11c8-de88-455b-a971-b8e8c227d687 · outbound
This paper cites Spoc: Imitating shortest paths in simulation enables effective navigation and manipu- lation in the real world.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Spoc: Imitating shortest paths in simulation enables effective navigation and manipu- lation in the real world
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.496978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f80e300f-c6b9-416b-b621-1aa4cbd43176 · outbound
This paper cites Group-in-Group Policy Optimization for LLM Agent Training.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Group-in-Group Policy Optimization for LLM Agent Training
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:15:09.492454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 85ef3596-fb15-40cf-9559-35a679db4d98 · outbound
This paper cites OctoNav: Towards Generalist Embodied Navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation OctoNav: Towards Generalist Embodied Navigation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.482558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd9593b0-58f1-4a15-9728-2a66a9e90dc7 · outbound
This paper cites End-to-end navigation with vlms: Transforming spatial reasoning into question-answering.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation End-to-end navigation with vlms: Transforming spatial reasoning into question-answering
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.482697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3ceeba5-8c51-4baa-9fb4-098a2ce803bc · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.429460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e3d19cdf-5c3e-4382-ba4d-4af72e717737 · outbound
This paper cites Mask r-cnn.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Mask r-cnn
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.492707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c528cff-860c-4560-bd10-bc32b5f3906b · outbound
This paper cites Adactrl: Towards adaptive and controllable reasoning via difficulty-aware budgeting.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Adactrl: Towards adaptive and controllable reasoning via difficulty-aware budgeting
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.443893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d1fa1cb3-c5a2-4fd3-80e8-8780c8c7a038 · outbound
This paper cites GPT-4o System Card.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation GPT-4o System Card
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.551303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 00073c2d-6880-4c3e-b99d-7a8d455b29fd · outbound
This paper cites Think Only When You Need with Large Hybrid-Reasoning Models.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Think Only When You Need with Large Hybrid-Reasoning Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.533819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02f70e82-0b58-4b2b-bf95-09b97bf02c98 · outbound
This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation AI2-THOR: An Interactive 3D Environment for Visual AI
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:24:31.084211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e8b36ae9-32b8-4ed6-add2-9d7cb0c6f4a1 · outbound
This paper cites Think or not think: A study of ex- plicit thinking in rule-based visual reinforcement fine-tuning.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Think or not think: A study of ex- plicit thinking in rule-based visual reinforcement fine-tuning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.503518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0296e041-2ce1-42e6-8440-ba3edfd809e4 · outbound
This paper cites Introducing o3 and o4 mini.https://openai.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Introducing o3 and o4 mini.https://openai
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.502633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4f77e5ab-a763-40d7-954b-5d6a99c677ee · outbound
This paper cites Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.506682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 53443418-d67e-4f2a-9708-e9072ca1faf8 · outbound
This paper cites VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.531030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d0ab8b04-ac34-4f9d-b06b-43a90a7ca936 · outbound
This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.494773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4064bee8-9320-4d27-8d6e-9c97e29526ec · outbound
This paper cites Proximal Policy Optimization Algorithms.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Proximal Policy Optimization Algorithms
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.525911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a93744f-be44-4058-897a-9d66728daf6f · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.543530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d25c45e3-e423-4e68-90e2-b397ca482dc7 · outbound
This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:39:15.970362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2a9e2185-4594-4d1c-b9f4-061d0068d8cc · outbound
This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.500506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f79685de-cd48-4016-a07b-fffd5be3806d · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Gemini: A Family of Highly Capable Multimodal Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:41:01.528363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a8c0ca0d-3c22-4af5-9d65-d5ef63f81c49 · outbound
This paper cites arXiv preprint arXiv:2505.10832 , year=.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation arXiv preprint arXiv:2505.10832 , year=
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.546310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ff6525e-e181-4697-ab5a-3dd26dfa7094 · outbound
This paper cites Aux-think: Exploring reason- ing strategies for data-efficient vision-language navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Aux-think: Exploring reason- ing strategies for data-efficient vision-language navigation
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.553704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef9a0f5b-a448-4248-b8e4-5583497fbed7 · outbound
This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T12:12:09.004283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 21200471-a562-4351-a688-c395b73ac767 · outbound
This paper cites Adaptive Deep Reasoning: Triggering Deep Thinking When Needed.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Adaptive Deep Reasoning: Triggering Deep Thinking When Needed
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.509692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 601315d0-e27a-42a8-a77c-0397f4d7778c · outbound
This paper cites DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.492076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fc482c90-0125-4e83-90f2-ae6117d69cf8 · outbound
This paper cites Q-learning.Ma- chine learning, 8(3):279–292.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Q-learning.Ma- chine learning, 8(3):279–292
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.521681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f4276774-44b5-4487-a6b3-f002448b8e70 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.516054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa158978-914f-443a-93bb-31e585ece92e · outbound
This paper cites Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.530718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef8157ea-0388-4423-85a5-8ef76564657f · outbound
This paper cites Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation.Advances in neural information processing systems, 37:5285–5307.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation.Advances in neural information processing systems, 37:5285–5307
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.511280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b5f5794-ef57-41a2-b741-58c4e0999c52 · outbound
This paper cites Vlfm: Vision-language frontier maps for zero-shot semantic navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Vlfm: Vision-language frontier maps for zero-shot semantic navigation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.526784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8fe555f7-f895-4f98-89e1-49c950e53140 · outbound
This paper cites Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.541065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 63d7ba44-1569-45c3-baed-59e4fe5ee8ad · outbound
This paper cites Poliformer: Scaling on-policy rl with transformers results in masterful navigators.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Poliformer: Scaling on-policy rl with transformers results in masterful navigators
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.536201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bcb3f5e5-928e-4d3d-8c8d-81e7a74e2fea · outbound
This paper cites Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:51:36.748157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2404bc3e-ceb6-4d37-b70e-d96e466a8f28 · outbound
This paper cites NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:55:20.726672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 72f5a89d-5c09-41dd-a10d-bdac202c1b01 · outbound
This paper cites AdaptThink: Reasoning Models Can Learn When to Think.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation AdaptThink: Reasoning Models Can Learn When to Think
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:41:01.516836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 759b36c4-af32-40cc-b7ee-17dc53b7961c · outbound
This paper cites MapNav: A novel memory representation via annotated semantic maps for VLM-based vision-and-language navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation MapNav: A novel memory representation via annotated semantic maps for VLM-based vision-and-language navigation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:36.487185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2473f15f-604a-4723-bd8b-547e8c3874c5 · outbound
This paper cites Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.414444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78513c94-4e7b-4b0a-92d5-91f0869b26c4 · outbound
This paper cites ApexNav: An Adaptive Exploration Strategy for Zero-Shot Object Navigation with Target-centric Semantic Fusion.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation ApexNav: An Adaptive Exploration Strategy for Zero-Shot Object Navigation with Target-centric Semantic Fusion
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.457206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60659adb-a868-41ec-9f4a-81fc05978633 · outbound
This paper cites TopV-Nav: Unlocking the Top-View Spatial Reasoning Potential of MLLM for Zero-shot Object Navigation.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation TopV-Nav: Unlocking the Top-View Spatial Reasoning Potential of MLLM for Zero-shot Object Navigation
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.438885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.