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Paper Citation Record · LEDGER

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation

As of 15 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2511.17384.

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

pith.paper-citation-record.v1
2511.17384 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:59:21.425916Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T08:15:20.055650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:41:13.790288Z

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 268aea4b-6a76-4493-b6a7-3b2bea92801e · outbound

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

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 1

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Observation fff39733-19ee-4d9f-b245-319af0a0ffbd · outbound

This paper cites Claude sonnet 4.5, 2025.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Claude sonnet 4.5, 2025

Reference 2

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source=pdf_text observed=2026-08-03T20:59:14.763941Z digest=sha256:24adaa389c375759257f2d80fd32775e633ce840160c9511d62a0b85e4ef552b

Observation a715cad2-004a-4c2d-9afa-530ae07f1f30 · outbound

This paper cites Scanqa: 3d question answering for spatial scene understanding.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Scanqa: 3d question answering for spatial scene understanding

Reference 3

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source=pdf_text observed=2026-08-03T20:59:14.841075Z digest=sha256:f62d19a8a39797f1a1a6cc78d936a6e4da8b9b2088da64ae56bf9426d7874ff2

Observation e1316510-d3ef-43f6-927f-e27919579d7c · outbound

This paper cites The r2r framework: Publishing and discovering mappings on the web.COLD, 665:97–108, 2010.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation The r2r framework: Publishing and discovering mappings on the web.COLD, 665:97–108, 2010

Reference 4

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source=pdf_text observed=2026-08-03T20:59:14.904407Z digest=sha256:eeef0ca69aee31a4f0954326fd83b026e951a444283aa90bef6beb55e4487ad6

Observation d46d9a2b-bba0-4882-8bb3-1bcbd2896d7e · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Depth pro: Sharp monocular metric depth in less than a second

Reference 5

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source=pdf_text observed=2026-08-03T20:59:15.029846Z digest=sha256:f744e2a9309515e76c813463a01e750041551e0a0dc638db957320f41593687f

Observation 45290bed-d13d-4b59-865c-81cd9e2338da · outbound

This paper cites Spatialbot: Pre- cise spatial understanding with vision language models.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Spatialbot: Pre- cise spatial understanding with vision language models

Reference 6

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source=pdf_text observed=2026-08-03T20:59:15.122121Z digest=sha256:53ebc10e66a9b86d2f0c5d4bef5fcd2f8611902a539c2f10aca306e20b3714a6

Observation 72cb38fa-cc5a-4756-b80f-673c8889a044 · outbound

This paper cites Partnr: A benchmark for planning and rea- soning in embodied multi-agent tasks.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Partnr: A benchmark for planning and rea- soning in embodied multi-agent tasks

Reference 7

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source=pdf_text observed=2026-08-03T20:59:15.198676Z digest=sha256:c27e64873dd2e7b2725d9b9922c24b080f10fd2cef19b8f6bc792f80dfd770ec

Observation 476e92a7-c27a-4919-8020-43ca8735e671 · outbound

This paper cites Neural topological slam for vi- sual navigation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Neural topological slam for vi- sual navigation

Reference 8

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source=pdf_text observed=2026-08-03T20:59:15.275007Z digest=sha256:29d0e0bf80913dfe838fe2236b34f01402f0d0311bbea5d503e772f30742f1e9

Observation 2a3d542c-e622-4417-884b-5ff4825f8d78 · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 9

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source=pdf_text observed=2026-08-03T20:59:15.365432Z digest=sha256:1d5f673a9efd2497dcb30a8644b821f8d0fa05ffb136ffb20a4c7680f7c9d454

Observation cefecfe8-cdc9-40e2-8f00-7ee8d7c0df13 · outbound

This paper cites Spatial- rgpt: Grounded spatial reasoning in vision-language models.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Spatial- rgpt: Grounded spatial reasoning in vision-language models

Reference 10

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source=pdf_text observed=2026-08-03T20:59:15.442995Z digest=sha256:e213648561708a57486356af5e94b5bf275c372fa9399179102dfa7dc85ae79f

Observation 9f1d3e99-879f-44e2-b031-4adefe539988 · outbound

This paper cites EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering

Reference 11

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source=pdf_text observed=2026-08-03T20:59:15.554071Z digest=sha256:84c3eb4b93b6d01da33c3c90a8be5e82ff5219da5ed5408353486dc7b5ed9066

Observation 0e6dd7fd-825c-49d4-b05b-7a182c8e543b · outbound

This paper cites Lota-bench: Benchmarking language- oriented task planners for embodied agents.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Lota-bench: Benchmarking language- oriented task planners for embodied agents

Reference 12

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source=pdf_text observed=2026-08-03T20:59:15.645170Z digest=sha256:7c2f28c4597cca915af79ef0a640a1c9824c3b46e1895e37c68ed0b172aa0584

Observation 7b1e12fb-aa81-4e6d-accc-3d3433d8ed9d · outbound

This paper cites Embodied question answer- ing.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Embodied question answer- ing

Reference 13

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source=pdf_text observed=2026-08-03T20:59:15.719156Z digest=sha256:b21547c8300173de53ecd6bade3eb592d9216d1dea5741fad9951624c0789574

Observation 3cacc8f1-7bf6-4548-ad4c-bb7f74e49430 · outbound

This paper cites Mm-spatial: Exploring 3d spatial understanding in multimodal llms.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Mm-spatial: Exploring 3d spatial understanding in multimodal llms

Reference 14

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source=pdf_text observed=2026-08-03T20:59:15.824408Z digest=sha256:379e8658437d4faec9b9dbd88c14d8d3e39292aa4a5946fd98f72545fcb2a01e

Observation 2e83de45-62df-4af9-a141-c834b9dfef76 · outbound

This paper cites EmbSpatial-bench: Benchmarking spatial un- derstanding for embodied tasks with large vision-language models.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation EmbSpatial-bench: Benchmarking spatial un- derstanding for embodied tasks with large vision-language models

Reference 15

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source=pdf_text observed=2026-08-03T20:59:16.041496Z digest=sha256:38f2ebb7c41362e116f13ffb9ea3b304427aa44126559d96aa1528a9520e63c5

Observation 98aa84ae-30bd-422c-b69d-63ade9c05ff9 · outbound

This paper cites Blink: Multimodal large language models can see but not perceive.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Blink: Multimodal large language models can see but not perceive

Reference 16

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source=pdf_text observed=2026-08-03T20:59:16.193029Z digest=sha256:6e3672dbaf2e539a59511ebaade467b00edad65060fc444d08b4f935fc275e22

Observation ec07af9e-1545-4e62-a124-8dc157f90bb5 · outbound

This paper cites Gemini 2.5 Flash Preview Model Card.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Gemini 2.5 Flash Preview Model Card

Reference 17

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source=pdf_text observed=2026-08-03T20:59:16.345965Z digest=sha256:f366293c0a93946caa7ba8c7f8d4ee2b31158b0cb04bf792e90dd028a4fa5b06

Observation 6b753aa9-19db-4d46-b6d6-6a26785b6a5d · outbound

This paper cites Autotag & tagmap: Llm-powered moodle plugins for peda- gogical alignment checks.SN Computer Science, 6(7):1–11,.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Autotag & tagmap: Llm-powered moodle plugins for peda- gogical alignment checks.SN Computer Science, 6(7):1–11,

Reference 18

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source=pdf_text observed=2026-08-03T20:59:16.528121Z digest=sha256:82d4e36d4e728980f70c93ffa66fc28c6f8847641302a4d26983f335ec6521b4

Observation ecebcd8e-2084-4abe-8dd4-e8ed58015860 · outbound

This paper cites 3d-llm: In- jecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation 3d-llm: In- jecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,

Reference 19

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Observation b6fca1c9-e57a-4da3-8d2a-30822944f937 · outbound

This paper cites Enhancing visualization and interaction of complex spatial data through augmented reality.The International Journal of Advanced Manufacturing Technology, 134(11):5891–5906, 2024.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Enhancing visualization and interaction of complex spatial data through augmented reality.The International Journal of Advanced Manufacturing Technology, 134(11):5891–5906, 2024

Reference 20

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source=pdf_text observed=2026-08-03T20:59:16.681143Z digest=sha256:b43477995782740d801bfd6cd127d321e87c2e7395e8c94beaa1249b3791210b

Observation 37175fff-ffaf-4c68-8a87-3a45f0e2aa43 · outbound

This paper cites Visual language maps for robot navigation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Visual language maps for robot navigation

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source=pdf_text observed=2026-08-03T20:59:16.789318Z digest=sha256:850b1394f200c48f8aa409df2c128fe0458693badcc1ebf762deabda31e83ec1

Observation 5e29cb65-16c6-4860-9b01-b26b23e2ddf5 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Gqa: A new dataset for real-world visual reasoning and compositional question answering

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source=pdf_text observed=2026-08-03T20:59:16.938067Z digest=sha256:ee68ef43bfd531c4ccc0fac5e132a97618c2f96c2c3ee0fd62102b9378c990a3

Observation 2df73521-921e-4e4f-beea-9acaca451b97 · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

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source=pdf_text observed=2026-08-03T20:59:17.069487Z digest=sha256:bc46d4fd7c5f5477beb5548200aa292af275b94d3ac5cf950687688c51c3277d

Observation 08ff3179-7c2d-4476-b1ff-039788fa47d5 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation OpenVLA: An Open-Source Vision-Language-Action Model

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source=pdf_text observed=2026-08-03T20:59:17.162745Z digest=sha256:fcb0a9e401ef53df3f1cfe8a99ac6a844b6b88218b9a6b2b83b4025945f35a48

Observation c194c02a-a13c-46eb-8516-888ead71a700 · outbound

This paper cites Llava-next: Stronger llms supercharge multimodal capa- bilities in the wild, 2024.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Llava-next: Stronger llms supercharge multimodal capa- bilities in the wild, 2024

Reference 25

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source=pdf_text observed=2026-08-03T20:59:17.304591Z digest=sha256:22eadc1d4a83942eba5d1d400206d5243d2dcef5e8824944f5b5baa386b63f95

Observation 60cb29bc-4cf0-4d6c-8195-ffdf541b2936 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 ev- eryday activities and realistic simulation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Behavior-1k: A benchmark for embodied ai with 1,000 ev- eryday activities and realistic simulation

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source=pdf_text observed=2026-08-03T20:59:17.444715Z digest=sha256:35ace9d7eec0da54faddf272611ca33fb65a70317670fdab402a22aa90107c65

Observation 36373aeb-9c68-4af6-8c82-30c4f13623dc · outbound

This paper cites IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios

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source=pdf_text observed=2026-08-03T20:59:17.546623Z digest=sha256:9208f72b2f14ce6f0416d89bb6cfcde810044e135a067007dcb2527c61904a6e

Observation cda5e9a0-1daf-4993-89dd-7463904e7c07 · outbound

This paper cites Visual Large Language Models for Generalized and Specialized Applications.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Visual Large Language Models for Generalized and Specialized Applications

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Observation d236cf6a-e475-4c54-aae7-7975b8ff6e5e · outbound

This paper cites Toa: Task-oriented active vqa.Advances in Neural Information Processing Systems, 36:54061–54074, 2023.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Toa: Task-oriented active vqa.Advances in Neural Information Processing Systems, 36:54061–54074, 2023

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source=pdf_text observed=2026-08-03T20:59:17.888807Z digest=sha256:63a0ebeb63fdf9a96c9508c5db557eeae79a7ffa513777d34bb0adfe84b56a04

Observation 52fa8124-bae6-4ffa-8ba4-bb8d0e84e668 · outbound

This paper cites Reasoning paths with reference objects elicit quanti- tative spatial reasoning in large vision-language models.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Reasoning paths with reference objects elicit quanti- tative spatial reasoning in large vision-language models

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source=pdf_text observed=2026-08-03T20:59:18.085542Z digest=sha256:279c379e360049a99cd1df3a0f243cca15e164cf00d84111f8be9b1a90ba2f78

Observation c88596c5-ca77-47bf-8c04-50372fe13a43 · outbound

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

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Navcot: Boosting llm-based vision-and- language navigation via learning disentangled reasoning

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source=pdf_text observed=2026-08-03T20:59:18.251368Z digest=sha256:1298844ce099e377bbc0f88097980c5a1fc3e16985678320e49fbbb3b76f7e36

Observation d26b32e1-6cd7-43ea-bea9-83ddca0f94b1 · outbound

This paper cites 3dsrbench: A comprehensive 3d spatial reasoning benchmark.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation 3dsrbench: A comprehensive 3d spatial reasoning benchmark

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source=pdf_text observed=2026-08-03T20:59:18.417328Z digest=sha256:77f3e482e1acc3cadd1dc69d9ad652dd6e0f27f8087f9fc3eaff5767e88452ac

Observation 7a529095-9256-4f69-bc28-ef47feddd9f6 · outbound

This paper cites Openeqa: Embodied question answering in the era of foun- dation models.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Openeqa: Embodied question answering in the era of foun- dation models

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source=pdf_text observed=2026-08-03T20:59:18.531424Z digest=sha256:a469cbd6cd1bdf628dacf0e9e0dd3c44bf037135b2cecc0cdc961bca2c9ab262

Observation 1eca95f3-b0d0-4ee2-bde1-a378358b7035 · outbound

This paper cites Llama 4 model card, 2025.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Llama 4 model card, 2025

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source=pdf_text observed=2026-08-03T20:59:18.645377Z digest=sha256:e491f1c2c6013a3607e18fa92c14683fba7d670004ccfb3af9c14fd8ec940b86

Observation 9f214e3c-ab9c-47e3-9bc7-8acec09677b4 · outbound

This paper cites NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

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source=pdf_text observed=2026-08-03T20:59:18.876864Z digest=sha256:817287aa5a41127a5b3f02ad373f140c34fafaf1852846ba039c5242af7d6346

Observation 15f8da26-30c1-40b3-9448-e090af8c6b63 · outbound

This paper cites Gpt-4o system card, 2024.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Gpt-4o system card, 2024

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source=pdf_text observed=2026-08-03T20:59:19.012998Z digest=sha256:afb55524b0c50c21e8156776acc183051d79ec0b87f1220957d44adffc27c7c3

Observation fb2208dd-9e1b-43b9-a9c9-64af267eae17 · outbound

This paper cites Is map- ping necessary for realistic pointgoal navigation? InCVPR, pages 17232–17241, 2022.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Is map- ping necessary for realistic pointgoal navigation? InCVPR, pages 17232–17241, 2022

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source=pdf_text observed=2026-08-03T20:59:19.090182Z digest=sha256:310267190bb7d60f88b33b299e3bd7950a2a2f07149790736da8852f2b26dd72

Observation 997268c5-8c2b-4b46-b378-cc198d0708d8 · outbound

This paper cites Reverie: Remote embodied visual referring expres- sion in real indoor environments.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Reverie: Remote embodied visual referring expres- sion in real indoor environments

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source=pdf_text observed=2026-08-03T20:59:19.226498Z digest=sha256:0eda61b660a3df59dbe2f0b03a8d2d603b1f05f564bb7ea01a504ec4d8423885

Observation fc97cf25-f771-4dc5-8510-788cf0a31a20 · outbound

This paper cites Habitat: A plat- form for embodied ai research.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Habitat: A plat- form for embodied ai research

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source=pdf_text observed=2026-08-03T20:59:19.309828Z digest=sha256:941e3da1a391f6d16833db26638b2cdece50ed6ae6b101ea428c5efc153e0715

Observation 8e917696-02e1-4163-a172-54f82124f09e · outbound

This paper cites Learning to navigate using mid-level visual priors.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Learning to navigate using mid-level visual priors

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source=pdf_text observed=2026-08-03T20:59:19.394606Z digest=sha256:a02018fbf72c086f24eeaf91464290ff012a49542d7a2c840c8f6898adf667ec

Observation 9926cc71-3b36-4f0c-a24f-756db9d3b9b3 · outbound

This paper cites Alfred: A benchmark for interpreting grounded instructions for everyday tasks.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Alfred: A benchmark for interpreting grounded instructions for everyday tasks

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source=pdf_text observed=2026-08-03T20:59:19.493879Z digest=sha256:ca2a7391de14922b9fe92e39ff6212951135257a3b8b9c9450bc5fbc2089bd39

Observation 0977eb82-99cb-4903-9faf-db975a2bab58 · outbound

This paper cites Robospatial: Teaching spatial understanding to 2d and 3d vision-language models for robotics.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Robospatial: Teaching spatial understanding to 2d and 3d vision-language models for robotics

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source=pdf_text observed=2026-08-03T20:59:19.588095Z digest=sha256:1edabdc1dddbdc3ca60e76b94c56200f33726bde91d5f26b6ea81e5ae6e232cb

Observation 29b6991b-1ce4-4ec4-aea9-940d66551d1e · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Habitat 2.0: Training home assistants to rearrange their habitat

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source=pdf_text observed=2026-08-03T20:59:19.714172Z digest=sha256:f072ee465db3afaa25b4ebe5115c58ff70a9784c44e3dabb961818ac6bf8c197

Observation 3eefe272-89c0-44a8-8feb-7659bd3d526e · outbound

This paper cites Cambrian-1: A fully open, vision-centric explo- ration of multimodal llms.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Cambrian-1: A fully open, vision-centric explo- ration of multimodal llms

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source=pdf_text observed=2026-08-03T20:59:19.785212Z digest=sha256:16f3e4ddabc3f12449e0b273a68b96b586653f3301c6a6d7fd6a4ecc3bbec86f

Observation 6c36bd83-474b-4fa9-996b-2095b57bcc2f · outbound

This paper cites Hierarchical open- vocabulary 3d scene graphs for language-grounded robot navigation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Hierarchical open- vocabulary 3d scene graphs for language-grounded robot navigation

Reference 45

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source=pdf_text observed=2026-08-03T20:59:19.976111Z digest=sha256:13c5512c3b1182717c455a61a73eacb198185e8c58dab898f31daaa864adb311

Observation 3f197a8c-8d56-4e54-ac48-ccbadf420a10 · outbound

This paper cites Vsp: Diagnosing the dual challenges of perception and reasoning in spatial planning tasks for mllms.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Vsp: Diagnosing the dual challenges of perception and reasoning in spatial planning tasks for mllms

Reference 46

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source=pdf_text observed=2026-08-03T20:59:20.030245Z digest=sha256:9c411f046d858d22db2c1d8cfb600c2c40a9f3cc9259345baac01406d9a225ca

Observation 5a8bd369-503a-41de-897e-9d9468ff45b2 · outbound

This paper cites The rise and potential of large language model based agents: A survey.SCIS, 68(2):121101, 2025.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation The rise and potential of large language model based agents: A survey.SCIS, 68(2):121101, 2025

Reference 47

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source=pdf_text observed=2026-08-03T20:59:20.079159Z digest=sha256:894e1ebda36925f5809fdf1bf2f7ec1034bae218b6058af4db4c9edee4adada7

Observation 333a32d1-fe5d-4c6c-83ea-67a61c2dccd5 · outbound

This paper cites Gibson env: Real-world percep- tion for embodied agents.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Gibson env: Real-world percep- tion for embodied agents

Reference 48

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source=pdf_text observed=2026-08-03T20:59:20.204740Z digest=sha256:ea4ab4ee7740351fc6fbd3b8738bedba476a776cefb9a876d3bba7eb968a1cbd

Observation 99632ebf-e066-4e7c-acbf-d36d4527fcdd · outbound

This paper cites Expand vsr benchmark for vllm to expertize in spatial rules.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Expand vsr benchmark for vllm to expertize in spatial rules

Reference 49

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source=pdf_text observed=2026-08-03T20:59:20.396297Z digest=sha256:7c900acf50f1497fdde3253e1180287c17c54b511b32725e2c19dbdf891c191a

Observation d0ee4011-2ca3-4fac-a51f-8e67ffc2c750 · outbound

This paper cites Point2graph: An end-to-end point cloud- based 3d open-vocabulary scene graph for robot navigation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Point2graph: An end-to-end point cloud- based 3d open-vocabulary scene graph for robot navigation

Reference 50

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source=pdf_text observed=2026-08-03T20:59:20.488266Z digest=sha256:21e5fdaa428cf35de0a54c565563eb39907c235cd9288ecdfdf72a39266a193a

Observation 167388c3-ba6e-42ae-a5f7-69a2391588ef · outbound

This paper cites Qwen3 Technical Report.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Qwen3 Technical Report

Reference 51

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source=pdf_text observed=2026-08-03T20:59:20.497223Z digest=sha256:d6313dfbaf02c95789ab039d44bae3ca7b873fb43db1b3c390dfd748cd07e411

Observation d69784f3-25bc-4ada-934d-12dce8081bd1 · outbound

This paper cites Thinking in space: How mul- timodal large language models see, remember, and recall spaces.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Thinking in space: How mul- timodal large language models see, remember, and recall spaces

Reference 52

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source=pdf_text observed=2026-08-03T20:59:20.586060Z digest=sha256:ba5386fc1a06cd729fb45955883d876fc7bc38ec3a6d5a49e43b340c5c31b8eb

Observation 9f350c7a-08d3-4c90-b2ac-93747a099db6 · outbound

This paper cites Rila: Re- flective and imaginative language agent for zero-shot seman- tic audio-visual navigation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Rila: Re- flective and imaginative language agent for zero-shot seman- tic audio-visual navigation

Reference 53

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source=pdf_text observed=2026-08-03T20:59:20.658315Z digest=sha256:4edcb1b26045fccbe9cd0db83aa5589a1820934dfe839e18d57b478da25b322e

Observation df90fd26-8854-4519-8e06-005483e7803e · outbound

This paper cites Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation

Reference 54

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source=pdf_text observed=2026-08-03T20:59:20.752621Z digest=sha256:20dd73d790b9cd774293fd6a21d676c17952b3cacdcfd1b19ec508a4fd4ae11b

Observation 7cd8029e-c90d-4f3f-8bbf-38d1ff3e3d9e · outbound

This paper cites L3mvn: Leveraging large language models for visual target naviga- tion.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation L3mvn: Leveraging large language models for visual target naviga- tion

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source=pdf_text observed=2026-08-03T20:59:20.844060Z digest=sha256:60d3d1125fd6fbb4c66f121c424071f269e6f4730bde500d38de2bfc9ff09180

Observation ca3c587d-bf40-4c45-85cb-59ba2f46d33e · outbound

This paper cites A continual learning approach for em- bodied question answering with generative adversarial imi- tation learning.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation A continual learning approach for em- bodied question answering with generative adversarial imi- tation learning

Reference 56

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source=pdf_text observed=2026-08-03T20:59:20.908530Z digest=sha256:f3dd7e67fe099e85f7727478abdcc1e68130eea440519e6fc024163a81ffb3aa

Observation cbe7c04a-71e2-4313-801b-0ee0d80291c1 · outbound

This paper cites Open3d-vqa: A benchmark for embodied spatial concept reasoning with multimodal large language model in open space.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Open3d-vqa: A benchmark for embodied spatial concept reasoning with multimodal large language model in open space

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source=pdf_text observed=2026-08-03T20:59:20.985488Z digest=sha256:e68b269aded136b25a0db8b24ae0e345bcb01e618a79a21f363469feb944c4c0

Observation 4f3cceb3-5137-41f3-b24c-51aa056d3546 · outbound

This paper cites Dsi- bench: A benchmark for dynamic spatial intelligence.arXiv preprint arXiv:2510.18873, 2025.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Dsi- bench: A benchmark for dynamic spatial intelligence.arXiv preprint arXiv:2510.18873, 2025

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source=pdf_text observed=2026-08-03T20:59:21.043075Z digest=sha256:b8fbc1f1f6d58c54c2a8f6adca4307600fb5e542d249de9450400d0f81fc3d0e

Observation 34d72e47-e672-477d-9f5a-7cd5feacd7c2 · outbound

This paper cites CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space

Reference 59

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source=pdf_text observed=2026-08-03T20:59:21.103190Z digest=sha256:75517c73e39583a0d8c5508633a57c0a1ba660d03747d19ecae6e63d046df799

Observation 34ba3d3d-319a-41ee-9b4f-20f237f6b381 · outbound

This paper cites 3d- vla: a 3d vision-language-action generative world model.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation 3d- vla: a 3d vision-language-action generative world model

Reference 60

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source=pdf_text observed=2026-08-03T20:59:21.199741Z digest=sha256:1aa573332f7ffcdf13b56aeee57f26694657e4022ac1b4b3cfcc94cb36ffefec

Observation 5b4e9aab-9716-4780-974b-9cd6bff2d5bc · outbound

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

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation Towards learning a generalist model for embodied navigation

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source=pdf_text observed=2026-08-03T20:59:21.305893Z digest=sha256:d632a12415b53431973002975aabcd90f1a0edadf7d1332b5662211676acd465

Observation caf8d0e8-7d2c-4ddd-9129-4645877eec85 · outbound

This paper cites reasoning.

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation reasoning

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source=pdf_text observed=2026-08-03T20:59:21.425916Z digest=sha256:06a5f6f697fbf8e329e5e4cedcb759d325652565641a1d2ee46e4c04d50dc2a4

Pith citing papers

Observation 791a46fe-c4ea-4b72-bf9b-21dc7da14591 · inbound

IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance cites this paper.

IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-07T03:17:14.809235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T08:15:20.055650Z digest=sha256:7da7818ff6e75db9055b2da3427acea6641d3941a9e2efc1e8ee1c5b45a5d82f