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Paper Citation Record · LEDGER

Efficient and Generalizable Environmental Understanding for Visual Navigation

As of 23 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2506.15377.

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

pith.paper-citation-record.v1
2506.15377 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:39:00.235201Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T19:48:53.213389Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:49:25.790193Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact4
  • verified fuzzy20
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfd2dd29-b826-4b71-8778-5792eb981b76 · outbound

This paper cites Core challenges in embodied vision-language planning,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Core challenges in embodied vision-language planning,

Reference 1

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Observation f20faf1a-a0a2-4840-ac5c-59448cb45176 · outbound

This paper cites Long short-term memory,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Long short-term memory,

Reference 2

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Observation 98ea281e-1b5c-4856-8dc5-d274f0153694 · outbound

This paper cites Attention is all you need,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Attention is all you need,

Reference 3

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Observation 2c175fb9-d863-4122-90b4-e981139281f7 · outbound

This paper cites Simple but effective: Clip embeddings for embodied ai,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Simple but effective: Clip embeddings for embodied ai,

Reference 4

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Observation 126ccc64-e4c4-4143-82cd-5d7dc4751d17 · outbound

This paper cites Optimal control of markov processes with incomplete state information i,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Optimal control of markov processes with incomplete state information i,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a3de4885-f2df-4184-8601-d4d4cb0abf58 · outbound

This paper cites Markov decision processes,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Markov decision processes,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2bd909c4-6259-4c04-9a59-85ca9a4ed2aa · outbound

This paper cites an unresolved cited work.

Efficient and Generalizable Environmental Understanding for Visual Navigation Unresolved cited work

Reference 7

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Observation 905fa4d7-f758-4067-bff1-b4ed9aac58ac · outbound

This paper cites Causal influence detection for improving efficiency in reinforcement learning,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Causal influence detection for improving efficiency in reinforcement learning,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cbbd0a9e-3f9e-4a3a-8e58-bd61f9d22bdb · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Learning transferable visual models from natural language supervision,

Reference 9

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Observation 9c78b6c6-4720-4970-8394-8610c4506f9c · outbound

This paper cites Lower and upper bounds for approximation of the kullback-leibler divergence between gaussian mixture models,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Lower and upper bounds for approximation of the kullback-leibler divergence between gaussian mixture models,

Reference 10

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raw_fallback, observed 2026-08-15T19:39:02.293331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ba30d486-8a57-4dad-b07f-813f56685749 · outbound

This paper cites Causal curiosity: Rl agents discovering self-supervised experiments for causal representation learning,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Causal curiosity: Rl agents discovering self-supervised experiments for causal representation learning,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7c704ede-d37c-4307-bb03-b5a5c0641a81 · outbound

This paper cites Curiosity-driven exploration by self-supervised prediction,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Curiosity-driven exploration by self-supervised prediction,

Reference 12

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Observation 4b10c167-05aa-487c-bb4f-462e02153329 · outbound

This paper cites Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8a59d404-b44d-42d7-9b54-b3ae2d9fcd1e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Efficient and Generalizable Environmental Understanding for Visual Navigation Proximal Policy Optimization Algorithms

Reference 14

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Observation 86428db6-cebe-481e-9686-5e01c292e976 · outbound

This paper cites Robothor: An open simulation-to-real embodied ai platform,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Robothor: An open simulation-to-real embodied ai platform,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2a7843a8-81e8-44a0-899f-b6aca1facedd · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

Efficient and Generalizable Environmental Understanding for Visual Navigation Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 16

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Observation 6aeec390-f68b-4bfc-8f85-907cf8e1beae · outbound

This paper cites Gibson env: Real-world perception for embodied agents,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Gibson env: Real-world perception for embodied agents,

Reference 17

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Observation ab16c598-9c0a-4fc1-8d86-e16b51493e39 · outbound

This paper cites Procthor: Large- scale embodied ai using procedural generation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Procthor: Large- scale embodied ai using procedural generation,

Reference 18

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Observation c4b98323-39f2-41cf-98d7-6fb95ec5518f · outbound

This paper cites Stubborn: A strong baseline for indoor object navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Stubborn: A strong baseline for indoor object navigation,

Reference 19

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raw_fallback, observed 2026-08-15T19:39:02.028838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 645024f7-8322-448b-a5a1-b07b8df797e6 · outbound

This paper cites Thda: Treasure hunt data augmentation for semantic navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Thda: Treasure hunt data augmentation for semantic navigation,

Reference 20

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Observation fc8d4f71-6355-41b1-ad8c-2f30f7a5de05 · outbound

This paper cites Habitat-web: Learning embodied object-search strategies from human demonstrations at scale,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Habitat-web: Learning embodied object-search strategies from human demonstrations at scale,

Reference 21

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raw_fallback, observed 2026-08-15T19:39:01.912543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:58.785731Z digest=sha256:d7a20145718519435301dd0c3069cad22acb2e3cc470833699e91d8e3d3d4ea9

Observation b428f94d-575f-4290-a522-04a6430ab9da · outbound

This paper cites Auxiliary tasks and exploration enable objectgoal navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Auxiliary tasks and exploration enable objectgoal navigation,

Reference 22

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raw_fallback, observed 2026-08-15T19:39:01.849202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a5cbe1b0-d577-49db-aa96-f4ddcb363fb4 · outbound

This paper cites Pirlnav: Pretraining with imitation and rl finetuning for objectnav,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Pirlnav: Pretraining with imitation and rl finetuning for objectnav,

Reference 23

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source=pdf_text observed=2026-08-15T19:38:58.813564Z digest=sha256:afd7943d34cc15ef81c2845af35530dcd96b988c2b2ca39148556704c9d1fbd8

Observation 4051859b-2480-4edf-9b8f-27366046d407 · outbound

This paper cites DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames.

Efficient and Generalizable Environmental Understanding for Visual Navigation DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Reference 24

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Observation 44ad46c3-4f59-4c9d-85c0-d3cdc7abe755 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Efficient and Generalizable Environmental Understanding for Visual Navigation Adam: A Method for Stochastic Optimization

Reference 25

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Observation 4a37c1df-6b3b-414e-b703-dd4ce5de61a4 · outbound

This paper cites AllenAct: A Framework for Embodied AI Research.

Efficient and Generalizable Environmental Understanding for Visual Navigation AllenAct: A Framework for Embodied AI Research

Reference 26

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Observation 5450958a-05eb-4a30-836d-ed4751676fcd · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,

Reference 27

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Observation 0c865d1b-444d-4f76-99fd-61ff850a101f · outbound

This paper cites Speaker- follower models for vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Speaker- follower models for vision-and-language navigation,

Reference 28

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Observation 94b72900-7811-45c4-bce2-24e2f29b567e · outbound

This paper cites Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout.

Efficient and Generalizable Environmental Understanding for Visual Navigation Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout

Reference 29

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Observation 70223ba6-7919-4ba5-9bd5-238504b91dc6 · outbound

This paper cites Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding.

Efficient and Generalizable Environmental Understanding for Visual Navigation Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Reference 30

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Observation 9e341ffa-1ae8-4dc2-8786-c9e8364f8184 · outbound

This paper cites Reverie: Remote embodied visual referring expression in real indoor environments,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Reverie: Remote embodied visual referring expression in real indoor environments,

Reference 31

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raw_fallback, observed 2026-08-15T19:39:01.705456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd4883ab-5bde-43d4-b9fa-8487d222925d · outbound

This paper cites History aware multimodal transformer for vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation History aware multimodal transformer for vision-and-language navigation,

Reference 32

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Unavailable: canonical work link unavailable.

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Observation 70d049e2-d4f0-44bf-b543-4f1d6e40788e · outbound

This paper cites Gpf-bg: A hierarchical vision-based planning framework for safe quadrupedal navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Gpf-bg: A hierarchical vision-based planning framework for safe quadrupedal navigation,

Reference 33

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raw_fallback, observed 2026-08-15T19:39:01.606565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 25d34b13-5dec-4d20-8572-735db0c22043 · outbound

This paper cites Topo- logical planning with transformers for vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Topo- logical planning with transformers for vision-and-language navigation,

Reference 34

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raw_fallback, observed 2026-08-15T19:39:01.565557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.268442Z digest=sha256:cd1e9f5dcf5d5b1c53daf9b5e9803656bb024c9c6a9cff17d3a8e363afca3c4b

Observation 2fd7d028-312b-4f8d-ba8b-110252188bc7 · outbound

This paper cites Think global, act local: Dual-scale graph transformer for vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Think global, act local: Dual-scale graph transformer for vision-and-language navigation,

Reference 35

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Observation 95b1702e-2f55-4ba1-b06c-4a1669a30ab4 · outbound

This paper cites Gridmm: Grid memory map for vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Gridmm: Grid memory map for vision-and-language navigation,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T19:39:01.413386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.327754Z digest=sha256:9c234e2ef9e688e0f3480d139edbd00f07298a507f42141d235e2e65abacb8a6

Observation b454258b-92b3-409f-b826-e2cb8db7c830 · outbound

This paper cites Target-driven structured transformer planner for vision- language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Target-driven structured transformer planner for vision- language navigation,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T19:39:01.359308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.334430Z digest=sha256:523bba539ccb4b080c2bec41d41c7cb3a0eade00db107ff3f9db563b8958f29f

Observation 61fc5f59-b338-4d2a-9ea9-52c1e150a61b · outbound

This paper cites Kerm: Knowledge enhanced reasoning for vision-and-language navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Kerm: Knowledge enhanced reasoning for vision-and-language navigation,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.340223Z digest=sha256:68da3f7fbd21df70cf2bbcc714741d44e5469e4e30aeb4f259792fc3f8db1c28

Observation c09cc297-87c9-4123-8668-3a8f0b409325 · outbound

This paper cites Zero-shot object goal visual navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Zero-shot object goal visual navigation,

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.346654Z digest=sha256:70d4b0eb0222990beea1f70da0252e03786f14c2a6193f87731665694d7032c6

Observation bb249b6c-f7f8-4a06-8505-7bf7789e36c4 · outbound

This paper cites LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation.

Efficient and Generalizable Environmental Understanding for Visual Navigation LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.412224Z digest=sha256:3d57ab4523d4c6adf37f51434bef8947a7485a115e9bd80049a8ac3167fec311

Observation 22ec1165-d138-4571-9a52-3af53c45aad3 · outbound

This paper cites Aligning Knowledge Graph with Visual Perception for Object-goal Navigation.

Efficient and Generalizable Environmental Understanding for Visual Navigation Aligning Knowledge Graph with Visual Perception for Object-goal Navigation

Reference 41

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verified exact
local_arxiv, observed 2026-08-15T19:39:00.816872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.486206Z digest=sha256:2d3bb47691e9ab7c5f0e14f9afd7cb6c8b2d5540e271eb5d9b90a4ed4438ea6f

Observation c232ffcf-4ea1-4dbb-b24b-a696f8fe50d5 · outbound

This paper cites Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following.

Efficient and Generalizable Environmental Understanding for Visual Navigation Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:38:59.493625Z digest=sha256:1df6a04e030d32215b0add7c25f378233ba06efd35111f5bc41253ba443fd75b

Observation a6088fb6-26b9-4cef-9289-fbeed1bdc18a · outbound

This paper cites A persistent spatial semantic representation for high-level natural language instruction execution,.

Efficient and Generalizable Environmental Understanding for Visual Navigation A persistent spatial semantic representation for high-level natural language instruction execution,

Reference 43

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raw_fallback, observed 2026-08-15T19:39:01.207565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.501206Z digest=sha256:1fc7b72159a57d4bbdb7a4ef762731501202059c80720b5640f84510be91af04

Observation a104c141-d9d8-41d6-83ae-3b9015f82ce3 · outbound

This paper cites A survey of embodied ai: From simulators to research tasks,.

Efficient and Generalizable Environmental Understanding for Visual Navigation A survey of embodied ai: From simulators to research tasks,

Reference 44

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.508709Z digest=sha256:dd193630ddf9fb4f7ec1190af3f0e6a3f99f59985bdeafd6e91425554964bb16

Observation 4585f9d8-f21c-4882-b490-eebfc7cdabca · outbound

This paper cites Navgpt: Explicit reasoning in vision- and-language navigation with large language models,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Navgpt: Explicit reasoning in vision- and-language navigation with large language models,

Reference 45

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.514489Z digest=sha256:39d7a0bda2595b85e639bcfa01c518769c9fe6c8893e82f63a3c630708339c2d

Observation cd2c8ce3-a690-4e86-bb24-c8b149bf80b5 · outbound

This paper cites Discuss before moving: Visual language navigation via multi-expert discussions,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Discuss before moving: Visual language navigation via multi-expert discussions,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-15T19:39:01.105878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.565457Z digest=sha256:eb1cd3c26213686879dae57ab7c36257d0e5eca7f2eff57ed06bed7798ec5b1c

Observation 0fe28681-a1a5-46f2-b2b0-44c21e4fdf7d · outbound

This paper cites MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation.

Efficient and Generalizable Environmental Understanding for Visual Navigation MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation

Reference 47

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no resolver link, observed 2026-08-15T19:38:59.611783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.611783Z digest=sha256:04b06cffe9ede3d60840f690870312c0ad31e947a62d01f4779e1d11eb1b6d55

Observation 32a084b8-6187-44c6-b4b4-d4ba22e19182 · outbound

This paper cites Bridging zero-shot object navigation and foundation models through pixel-guided navigation skill,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Bridging zero-shot object navigation and foundation models through pixel-guided navigation skill,

Reference 48

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no resolver link, observed 2026-08-15T19:38:59.617880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.617880Z digest=sha256:bcb0a3ce227b8005baa0fc804accd08d6c7113a6ce23b8c61ac5b7919e65520e

Observation ea202836-c2ae-4d81-b4b6-3032bd26687f · outbound

This paper cites GPT-4 Technical Report.

Efficient and Generalizable Environmental Understanding for Visual Navigation GPT-4 Technical Report

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.666718Z digest=sha256:e5cb7f555868a2a51e3d4a2966b5bef5717ed4572d4ed2402c54b1494cf7f5c1

Observation ea06a66a-aa08-4210-9d78-85b5ea0d33c6 · outbound

This paper cites LangNav: Language as a Perceptual Representation for Navigation.

Efficient and Generalizable Environmental Understanding for Visual Navigation LangNav: Language as a Perceptual Representation for Navigation

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:38:59.755816Z digest=sha256:5c96b9b4ad1f7fbb08b49e60960ab6f24d6ddad847b0df28c51cdee269890dc9

Observation 4c46774f-d34e-45a6-adb3-a6d02e5feaed · outbound

This paper cites NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning.

Efficient and Generalizable Environmental Understanding for Visual Navigation NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning

Reference 51

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source=pdf_text observed=2026-08-15T19:38:59.805652Z digest=sha256:3487d3c51cb2c35fdc6dd7a1482725630045eaf1ed9e73ea0eddc88b69a0a765

Observation c461bcec-7d7b-412c-826c-b458c103e7b7 · outbound

This paper cites Towards learning a generalist model for embodied navigation,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Towards learning a generalist model for embodied navigation,

Reference 52

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source=pdf_text observed=2026-08-15T19:38:59.812205Z digest=sha256:80dd3034a02d6355ed4f725a0b9411eaa655bb05af2bdfa8f7c70ba539fd35c1

Observation 5080dfd5-f717-484b-a233-55259ac2a385 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Efficient and Generalizable Environmental Understanding for Visual Navigation LLaMA: Open and Efficient Foundation Language Models

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.818371Z digest=sha256:46662247646068a9baf3b9aa82b6153730bdb4bf62e277f5eaf356beddcc1192

Observation 113b6cf1-4b18-4446-a366-2371662ddaa2 · outbound

This paper cites Interventional few-shot learning,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Interventional few-shot learning,

Reference 54

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raw_fallback, observed 2026-08-15T19:39:00.998787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:38:59.823673Z digest=sha256:550b2122d203cfb9e3fa3658f72dec29312876358519d474e7927b93b12a2d48

Observation a03afd20-fa16-4466-b1ad-bc2bb6734025 · outbound

This paper cites CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training.

Efficient and Generalizable Environmental Understanding for Visual Navigation CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:38:59.829516Z digest=sha256:b05351ec48398bcfb3df9257238127ffd2a8499b38b3c80ef29be07f7a17549f

Observation 6b6b76e1-f169-4f88-93bd-e27426ee9d86 · outbound

This paper cites Causal Reinforcement Learning: A Survey.

Efficient and Generalizable Environmental Understanding for Visual Navigation Causal Reinforcement Learning: A Survey

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.954608Z digest=sha256:7792ee3c3615e31e63d913da797aa658468277c0ac06832c5f4146e5dd892173

Observation 24671f56-3da3-46df-a40c-3b275760e7cb · outbound

This paper cites Causal confusion in imitation learning,.

Efficient and Generalizable Environmental Understanding for Visual Navigation Causal confusion in imitation learning,

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:59.995405Z digest=sha256:4269828c130a9e5bbe2bce3806a657245a6b0eddf684deda69e5986eefd6fa6b

Observation 3eedfd56-8dad-44be-b4ce-4208a7e50bbf · outbound

This paper cites The Essential Role of Causality in Foundation World Models for Embodied AI.

Efficient and Generalizable Environmental Understanding for Visual Navigation The Essential Role of Causality in Foundation World Models for Embodied AI

Reference 58

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source=pdf_text observed=2026-08-15T19:39:00.001039Z digest=sha256:d754133c7129909d4ac6a3d95633283ebb256e36560a8ca952e75e3bc78d39b7

Observation 262d9d42-3a04-4d69-956b-7a8c212f3858 · outbound

This paper cites Learning Invariant Representations for Reinforcement Learning without Reconstruction.

Efficient and Generalizable Environmental Understanding for Visual Navigation Learning Invariant Representations for Reinforcement Learning without Reconstruction

Reference 59

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source=pdf_text observed=2026-08-15T19:39:00.009760Z digest=sha256:adcf42c2b13fe71b7c045b57333c0e0920696ac9819348014161f0dd16ce9b21

Observation 6dab8363-cf39-4221-9c82-b64bb210cc34 · outbound

This paper cites Causal World Models by Unsupervised Deconfounding of Physical Dynamics.

Efficient and Generalizable Environmental Understanding for Visual Navigation Causal World Models by Unsupervised Deconfounding of Physical Dynamics

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:39:00.036333Z digest=sha256:d4204481036c9fd2fb3f7303fc89d4fe5fd2c3ebfdd2b2c41e1c345623231a59

Observation fc873ce4-abe0-4a35-9992-b02463ef8743 · outbound

This paper cites Intrinsically Motivated Learning of Causal World Models.

Efficient and Generalizable Environmental Understanding for Visual Navigation Intrinsically Motivated Learning of Causal World Models

Reference 61

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verified exact
local_arxiv, observed 2026-08-15T19:39:00.517260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:39:00.113480Z digest=sha256:372ac75ebda727cab4f736e8657734f26d8258982bd5894b07527953db7ee062

Observation 28dff616-3e6b-4d0e-b2ba-00e7f4b93858 · outbound

This paper cites Resolving Spurious Correlations in Causal Models of Environments via Interventions.

Efficient and Generalizable Environmental Understanding for Visual Navigation Resolving Spurious Correlations in Causal Models of Environments via Interventions

Reference 62

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verified exact
local_arxiv, observed 2026-08-15T19:39:00.490272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:39:00.119880Z digest=sha256:d08d24d1c72e5e820c15d9739080c424c3fc5b43b5febbc0f18e0d41cff8d79e

Observation 500d7fa8-1aa6-4655-b311-937732dc6220 · outbound

This paper cites Offline Reinforcement Learning with Causal Structured World Models.

Efficient and Generalizable Environmental Understanding for Visual Navigation Offline Reinforcement Learning with Causal Structured World Models

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:39:00.128075Z digest=sha256:facc3c8716cb434db0a390509785fcd30998d373be5205bfa5a09af025005f54

Observation 97d3f661-2a19-4156-8f90-d501895639de · outbound

This paper cites Causal Dynamics Learning for Task-Independent State Abstraction.

Efficient and Generalizable Environmental Understanding for Visual Navigation Causal Dynamics Learning for Task-Independent State Abstraction

Reference 64

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no resolver link, observed 2026-08-15T19:39:00.135621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:39:00.135621Z digest=sha256:890f67c127b54cef49d9138388e0492e7ddfd8d7f1d348a927ae4b0a3a8b311e

Observation dbd88af9-d7f1-4856-9e1c-06b394208f46 · outbound

This paper cites Model-Invariant State Abstractions for Model-Based Reinforcement Learning.

Efficient and Generalizable Environmental Understanding for Visual Navigation Model-Invariant State Abstractions for Model-Based Reinforcement Learning

Reference 65

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verified exact
local_arxiv, observed 2026-08-15T19:39:00.365194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:39:00.190586Z digest=sha256:24247c43f54534b0e7c55a46008b5d592f12cfc079ff33870a8b60acaa406d7e

Observation cbfde439-13e7-4088-a6c9-1403db300849 · outbound

This paper cites Robust agents learn causal world models.

Efficient and Generalizable Environmental Understanding for Visual Navigation Robust agents learn causal world models

Reference 66

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no resolver link, observed 2026-08-15T19:39:00.235201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:39:00.235201Z digest=sha256:beac5fbeffddc03815835ee2b6368c051a6705778d7445841c295714be8101a4

Pith citing papers

Observation 5e4071c7-eeae-4e8d-abf4-41bdd5f5c1e4 · inbound

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning cites this paper.

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning Efficient and Generalizable Environmental Understanding for Visual Navigation

Reference 32

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arxiv_id, observed 2026-05-14T19:49:25.793467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T19:48:53.213389Z digest=sha256:a0e0235bf486ca83e1cfb5f091897e7df398de59212ae6b9027231d2be1842a7