Paper Citation Record · LEDGER

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2507.11001.

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

pith.paper-citation-record.v1
2507.11001 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:53.383192Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:15:22.848771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:10:25.115095Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy32
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6125b52c-588e-46df-a645-f9be2971b30b · outbound

This paper cites Socially aware robot navigation framework: Where and how to approach people in dynamic social environments,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Socially aware robot navigation framework: Where and how to approach people in dynamic social environments,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.945427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03f1fdc3-2a95-4274-9336-8f74f4973c35 · outbound

This paper cites Long-term navigation for autonomous robots based on spatio-temporal map prediction,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Long-term navigation for autonomous robots based on spatio-temporal map prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.924835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a26fba51-725f-4a16-bdd2-835353b50de7 · outbound

This paper cites Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.906590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95f05b7a-58dd-4206-8f41-4b1073e01ba2 · outbound

This paper cites Planning-oriented autonomous driving,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Planning-oriented autonomous driving,

Reference 4

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Source-reported events for the cited work

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Observation f4517336-a152-43c9-9613-366e0d37fa41 · outbound

This paper cites Diffusion-based planning for autonomous driv- ing with flexible guidance,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Diffusion-based planning for autonomous driv- ing with flexible guidance,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.887532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e18e927-f85c-44a4-87d1-e48f564948dc · outbound

This paper cites Deep reinforcement learning with multiple unrelated rewards for agv mapless navigation,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Deep reinforcement learning with multiple unrelated rewards for agv mapless navigation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.871535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cdc34f48-15d6-4e0f-8465-dd5b918b8876 · outbound

This paper cites Adaptive dynamic window approach for local navigation,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Adaptive dynamic window approach for local navigation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.860675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd61eb77-cfee-4c49-8da8-70255ef5cdfe · outbound

This paper cites Dynamic adaptive dynamic window approach,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Dynamic adaptive dynamic window approach,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.851321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 175935aa-7235-483f-aa01-765bd80e1e93 · outbound

This paper cites Dwa-rl: Dynamically feasible deep reinforcement learning policy for robot navigation among mobile obstacles,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Dwa-rl: Dynamically feasible deep reinforcement learning policy for robot navigation among mobile obstacles,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.841948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71d8702c-a7b1-424b-a9ad-ff9b39236e7a · outbound

This paper cites GPT-4o System Card.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation GPT-4o System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:53.260465Z

Source-reported events for the cited work

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Observation df3ec2e7-99fb-44b2-81d4-275df2991d0c · outbound

This paper cites Qwen Technical Report.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Qwen Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:53.264557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3d1208-9b97-4ff5-803b-21cb0da03fc0 · outbound

This paper cites Kimi-VL Technical Report.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Kimi-VL Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:53.268384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a965f4-eb9d-46ad-9dce-7a2d6808666f · outbound

This paper cites The llama 3 herd of models,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation The llama 3 herd of models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.832147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d3b64399-d493-406f-9520-48fe67a068f9 · outbound

This paper cites Psn game: Game-theoretic planning via a player selection network,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Psn game: Game-theoretic planning via a player selection network,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:24:53.530359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95d6b6b4-f3cf-4537-a4aa-9823466ece78 · outbound

This paper cites Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.821300Z

Source-reported events for the cited work

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Observation 9e91e017-0395-4bd3-af0a-d6df95176488 · outbound

This paper cites On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.811290Z

Source-reported events for the cited work

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Observation 8312fc18-6acd-44d9-a635-ec75faf8fec0 · outbound

This paper cites an unresolved cited work.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:24:53.800675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a687f0c9-053e-4edc-ae34-9d0cd03f8f88 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Do as i can, not as i say: Grounding language in robotic affordances,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.790832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f75227b8-fe9a-400b-89f6-2578007c77ef · outbound

This paper cites Gpt-driver: Learning to drive with gpt,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Gpt-driver: Learning to drive with gpt,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.779635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 43653eb4-34f1-48cd-a547-906977f07ea5 · outbound

This paper cites An llm-based vision and language cobot navigation approach for human-centric smart manufacturing,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation An llm-based vision and language cobot navigation approach for human-centric smart manufacturing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.768998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7500d76a-ef76-486c-9709-d1d8049eb1b1 · outbound

This paper cites L3mvn: Leveraging large language models for visual target navigation,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation L3mvn: Leveraging large language models for visual target navigation,

Reference 21

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Source-reported events for the cited work

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Observation 36b7c6fe-5aef-4f39-95e3-53b46d75dbed · outbound

This paper cites Lfenav: Llm-based frontiers exploration for visual semantic navigation,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Lfenav: Llm-based frontiers exploration for visual semantic navigation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.753411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1edf71b-05b7-4830-ba78-2d86c7769b61 · outbound

This paper cites Driving everywhere with large language model policy adaptation,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Driving everywhere with large language model policy adaptation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.744245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9380132d-7f4b-4ade-8c7d-51e1455ebac8 · outbound

This paper cites Navcot: Boosting llm-based vision-and-language navigation via learning disentangled reasoning,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Navcot: Boosting llm-based vision-and-language navigation via learning disentangled reasoning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.735219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 732ac77c-db5d-4db0-b5c4-d73e94b6f609 · outbound

This paper cites Llm as copilot for coarse- grained vision-and-language navigation,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Llm as copilot for coarse- grained vision-and-language navigation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.726198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 735ba35a-6d84-408d-bb3d-6008aa668d5c · outbound

This paper cites Vlm-social-nav: Socially aware robot navigation through scoring using vision-language models,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Vlm-social-nav: Socially aware robot navigation through scoring using vision-language models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.716036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3fffe4dd-5298-46b0-bf8e-4ea0d3c6d602 · outbound

This paper cites Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations

Reference 27

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Source-reported events for the cited work

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Observation b30916a1-3e15-46b2-80f7-cde0c3caef06 · outbound

This paper cites The dynamic window approach to collision avoidance,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation The dynamic window approach to collision avoidance,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.707069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 022ddd48-9d63-4c2f-81f2-abbd99fc8b01 · outbound

This paper cites Trajectory modification considering dynamic constraints of autonomous robots,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Trajectory modification considering dynamic constraints of autonomous robots,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.698091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation abdcd327-e395-49ac-96eb-abf6f33186f5 · outbound

This paper cites Planning and control in unstructured terrain,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Planning and control in unstructured terrain,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.688069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b95a7678-db44-4735-bd7c-e826beb290a3 · outbound

This paper cites Prediction, planning, and coordination of thousand-warehousing-robot networks with motion and communication uncertainties,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Prediction, planning, and coordination of thousand-warehousing-robot networks with motion and communication uncertainties,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.678174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6d18716-53b8-4b76-9b8c-4d6ac8ad1b08 · outbound

This paper cites High-speed navigation using the global dynamic window approach,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation High-speed navigation using the global dynamic window approach,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.668246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e41089a-96c3-4f16-9a18-706e570b98cc · outbound

This paper cites A modified dynamic window approach to obstacle avoidance combined with fuzzy logic,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation A modified dynamic window approach to obstacle avoidance combined with fuzzy logic,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.657695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c06cf80d-e579-47d6-b97d-296dc7c7b51d · outbound

This paper cites Predictive collision avoidance for the dynamic window approach,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Predictive collision avoidance for the dynamic window approach,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.647224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 479eb0f6-1cfe-4d62-815d-a44f7c627619 · outbound

This paper cites Predictive dynamic window approach development with artificial neural fuzzy inference improvement,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Predictive dynamic window approach development with artificial neural fuzzy inference improvement,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.636510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d8f438b-1d0e-4263-98aa-a443eb84d360 · outbound

This paper cites Reinforcement based mo- bile robot path planning with improved dynamic window approach in unknown environment,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Reinforcement based mo- bile robot path planning with improved dynamic window approach in unknown environment,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.626824Z

Source-reported events for the cited work

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Observation a792002e-952e-4d20-8437-baa63f82adca · outbound

This paper cites D 2 wa:“dynamic.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation D 2 wa:“dynamic

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.615770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67745300-cc71-4139-aef1-eda5daa38d12 · outbound

This paper cites Evaluation of socially-aware robot naviga- tion,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Evaluation of socially-aware robot naviga- tion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.605634Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1852f273-06e6-4565-b309-5a35aad0cd4e · outbound

This paper cites Ros: an open-source robot operating system,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Ros: an open-source robot operating system,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.594693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e0b11db-8b85-436d-8c75-751cfe0be6aa · outbound

This paper cites Scaling Laws for Neural Language Models.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Scaling Laws for Neural Language Models

Reference 40

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Source-reported events for the cited work

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Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Chain-of-thought prompting elicits reasoning in large language models,

Reference 41

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This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation YOLOv11: An Overview of the Key Architectural Enhancements

Reference 42

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Source-reported events for the cited work

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This paper cites Learning structured output represen- tation using deep conditional generative models,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Learning structured output represen- tation using deep conditional generative models,

Reference 43

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Source-reported events for the cited work

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Observation d2e05bf1-3b52-4277-95d8-6c706f6b1fb8 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 44

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Source-reported events for the cited work

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Observation 9b622e66-ce64-45b1-b1db-20697d6e3b9e · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:53.379699Z

Source-reported events for the cited work

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This paper cites A new sociology of humans and machines,.

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation A new sociology of humans and machines,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:53.568622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 092d156f-85c0-4cef-8ccb-5ee12c017932 · inbound

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer cites this paper.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation

Reference 65

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GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation cites this paper.

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation

Reference 48

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