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Paper Citation Record · LEDGER

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2510.01483.

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

pith.paper-citation-record.v1
2510.01483 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:55:38.286333Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2862ee51-2e54-4592-9a76-7fb8eb6b3fb5 · outbound

This paper cites What’s in the image? a deep- dive into the vision of vision language models,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering What’s in the image? a deep- dive into the vision of vision language models,

Reference 1

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source=pdf_text observed=2026-08-04T12:55:34.072800Z digest=sha256:2c0833533694f972ab8448e75e500cc2dc0369aaa1359ed1d9949121781aaa6e

Observation c05d8d2b-87db-42fa-a69b-2a919781bbd7 · outbound

This paper cites A survey of attacks on large vision–language models: Resources, advances, and future trends,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering A survey of attacks on large vision–language models: Resources, advances, and future trends,

Reference 2

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source=pdf_text observed=2026-08-04T12:55:34.132059Z digest=sha256:c509b187eb792d3f85cff2a8759d1183c408bf8c7faae542e15a4b711ed9478e

Observation e9062898-a49a-4f1a-bbfd-45d3a6611cca · outbound

This paper cites WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation

Reference 3

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source=pdf_text observed=2026-08-04T12:55:34.218173Z digest=sha256:d304b989178fe486f91b5a46f15af55af0127551ec4774fde43f9acd5a0b07a2

Observation 5c2774b3-a683-40c1-a955-99d17e8af306 · outbound

This paper cites Robohop: Segment-based topological map representation for open-world visual navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Robohop: Segment-based topological map representation for open-world visual navigation,

Reference 4

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source=pdf_text observed=2026-08-04T12:55:34.303423Z digest=sha256:30ed7da82776b62c6f903cc4ac42ec328264fefe759bdc8f7dabcea9f5887542

Observation 596d5114-6f76-483d-801c-ddf7bc2ba0a4 · outbound

This paper cites Remembr: Building and reasoning over long-horizon spatio- temporal memory for robot navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Remembr: Building and reasoning over long-horizon spatio- temporal memory for robot navigation,

Reference 5

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source=pdf_text observed=2026-08-04T12:55:34.476447Z digest=sha256:793bff30c7f0d54bef957eb565276e5bf5ff9381f0c5a8bd3157f078a45170d5

Observation dd7b7207-6111-44b2-8bac-a4c2b25b2653 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 6

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source=pdf_text observed=2026-08-04T12:55:34.650458Z digest=sha256:c612be910e0c65582ca33333cb03803c741e33388ca3e39f0d7c2567dcd1a984

Observation 0dd248c9-d9ec-49a5-aa09-af5e47b9d825 · outbound

This paper cites Qwen2.5-VL Technical Report.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Qwen2.5-VL Technical Report

Reference 7

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source=pdf_text observed=2026-08-04T12:55:34.875572Z digest=sha256:085b0fae398399a800e56584d550dfe2f1f8802d4c0f7a52195bc6f0c0016e59

Observation 63623c47-158f-40ae-a6a0-0670d9df3e75 · outbound

This paper cites Knowledge graphs as tools for explainable machine learning: A survey,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Knowledge graphs as tools for explainable machine learning: A survey,

Reference 8

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source=pdf_text observed=2026-08-04T12:55:35.126987Z digest=sha256:8d81e82c97754bf8413119c11cb9de44b4b6cfdb4c7ec6beb936a45bcd76899a

Observation e592f8e0-fd7f-4609-988e-70e8a3a81a67 · outbound

This paper cites An Introduction to Vision-Language Modeling.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering An Introduction to Vision-Language Modeling

Reference 9

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source=pdf_text observed=2026-08-04T12:55:35.208142Z digest=sha256:61d4ff84af158514c805df2c69cdb82bdf6e09b31169d23001f3d525098cb8cf

Observation a4878e1b-08ea-4c31-b93e-a8c591c66d13 · outbound

This paper cites A Review of Multi-Modal Large Language and Vision Models.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering A Review of Multi-Modal Large Language and Vision Models

Reference 10

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source=pdf_text observed=2026-08-04T12:55:35.364167Z digest=sha256:2e391a5eade336343836f9de955db0acbc377ca364f2cdb115cc8bfee6450f7c

Observation 8265fc70-8c06-4f98-b6d7-aefb098a4604 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Vision-language models for vision tasks: A survey,

Reference 11

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source=pdf_text observed=2026-08-04T12:55:35.447877Z digest=sha256:41bdbae63fd133c90e0c424450e7472e87c6049df51b1e384b7f3fb51b43af2b

Observation dcf86852-90e1-416f-b5df-7fd51a8ead70 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 12

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source=pdf_text observed=2026-08-04T12:55:35.566224Z digest=sha256:a6c18d34303bb3728d6cdae9ec69ee9b4f898dd45391db1cb2ed5793a4e05f6c

Observation 71f62a9d-841b-448e-8922-1ea5b4dfe34c · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 13

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source=pdf_text observed=2026-08-04T12:55:35.673692Z digest=sha256:0bdaa26d7692fa9a7887e6115347aaf7def099c62ab99c9bc8422c9e2376a83c

Observation b9fea18f-f772-4ead-9e5a-3534a4387c80 · outbound

This paper cites Vision-language navigation: a survey and taxonomy,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Vision-language navigation: a survey and taxonomy,

Reference 14

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source=pdf_text observed=2026-08-04T12:55:35.845742Z digest=sha256:4ae85457391cec7625dc4bb12ce1837ba08c71fff212d211ce659be8d14bbadb

Observation bc472ae9-a3e8-4fda-8518-cc4dc4c27626 · outbound

This paper cites Visual language maps for robot navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Visual language maps for robot navigation,

Reference 15

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source=pdf_text observed=2026-08-04T12:55:35.972929Z digest=sha256:2bc2e1b2591457c8595ad9309f9dddbf1e15e0c3585861fdadf9d01426921a4c

Observation 5e705b18-f9fe-448b-97ba-c4b9e99205e4 · outbound

This paper cites Conceptgraphs: Open-vocabulary 3d scene graphs for percep- tion and planning,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Conceptgraphs: Open-vocabulary 3d scene graphs for percep- tion and planning,

Reference 16

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source=pdf_text observed=2026-08-04T12:55:36.195331Z digest=sha256:da25dfaf3e374c9b77e9db6a6831d9e28c835b88d3b3bdcf1ba41efbbc4d1af7

Observation 1594f410-90bf-4a8b-b3d3-4c3b1f3d41e3 · outbound

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

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Lm-nav: Robotic nav- igation with large pre-trained models of language, vision, and action,

Reference 17

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source=pdf_text observed=2026-08-04T12:55:36.280706Z digest=sha256:64941db74f06b13c7a153ca41a1a08d1b87a3ca6c4fd7222b44bc34a55823ec3

Observation 8298bd73-6d33-400b-9a42-3a9921412540 · outbound

This paper cites Spoc: Imitating shortest paths in simulation enables effective navigation and manipulation in the real world,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Spoc: Imitating shortest paths in simulation enables effective navigation and manipulation in the real world,

Reference 18

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source=pdf_text observed=2026-08-04T12:55:36.428913Z digest=sha256:b30ce5a0b008f9ae80feabaa55155b294a013145f556a37d7696e49db8b66363

Observation e218d8cb-b458-4711-945a-09f15c232324 · outbound

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

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,

Reference 19

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source=pdf_text observed=2026-08-04T12:55:36.577870Z digest=sha256:abe4805b6413d34a64629e2305cef04db0e444ea50b774c153f6a0ae664b585c

Observation 96487b6c-29de-4b3d-bce5-bb4d1c58a920 · outbound

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

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Speaker-follower models for vision-and-language navigation,

Reference 20

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source=pdf_text observed=2026-08-04T12:55:36.634278Z digest=sha256:7a8dcadbd04d2f7b0e1df65a87814fddadf649438b16f2f920a35a9dc281767a

Observation 22144266-9b46-4840-b3b4-75c5591553e9 · outbound

This paper cites Reinforced cross- modal matching and self-supervised imitation learning for vision- language navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Reinforced cross- modal matching and self-supervised imitation learning for vision- language navigation,

Reference 21

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source=pdf_text observed=2026-08-04T12:55:36.675590Z digest=sha256:12acc5b7fabfaf742651a0821fce45c9c413b7e5533590924c2850950bfc9d3b

Observation aecd7e5c-30a6-488a-813a-605a235bb2a8 · outbound

This paper cites Cows on pasture: Baselines and benchmarks for language- driven zero-shot object navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Cows on pasture: Baselines and benchmarks for language- driven zero-shot object navigation,

Reference 22

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source=pdf_text observed=2026-08-04T12:55:36.743665Z digest=sha256:2ee9fa7bcdcc048471a9335148d29eaef6ae649a519e3aac0a2e9823e1ad3589

Observation fb27c526-5343-4336-b6f2-d97293cbcd3a · outbound

This paper cites Navrag: Generat- ing user demand instructions for embodied navigation through retrieval-augmented llm,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Navrag: Generat- ing user demand instructions for embodied navigation through retrieval-augmented llm,

Reference 23

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source=pdf_text observed=2026-08-04T12:55:36.777749Z digest=sha256:f0bc31594277421d54821b825a16cbc0379bbde35ec63dfdb692f3044331e612

Observation 354415b1-860f-409c-8a40-76f030aaa081 · outbound

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

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Learning transferable visual models from natural language supervision,

Reference 24

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source=pdf_text observed=2026-08-04T12:55:36.879638Z digest=sha256:39e4866dde93fea1551736e3d46a930e116ad8a99f62b0a36285cec5e946a956

Observation 21ff231f-62c2-49e2-aa14-f6135ba3ff27 · outbound

This paper cites VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots

Reference 25

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source=pdf_text observed=2026-08-04T12:55:36.951077Z digest=sha256:8c06557775eefea99bc3cc83b1c0b359e0502a074be89bc4bf7e908c359aed9f

Observation 1f36d528-1199-4896-8cf8-17ff717c6403 · outbound

This paper cites Mobility vla: Multimodal instruction navigation with long-context vlms and topological graphs,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Mobility vla: Multimodal instruction navigation with long-context vlms and topological graphs,

Reference 26

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source=pdf_text observed=2026-08-04T12:55:37.004270Z digest=sha256:159d16f14075cde7455558f90f8139195258569b2dbb494df7dc1e713899013c

Observation 3a20bb74-d26a-4d93-b38e-73b192d8a943 · outbound

This paper cites Navid: Video-based vlm plans the next step for vision-and-language navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Navid: Video-based vlm plans the next step for vision-and-language navigation,

Reference 27

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source=pdf_text observed=2026-08-04T12:55:37.074529Z digest=sha256:3dab9640696ad5bca286f6aa8b21f3281656d737544592082fb8f6d8a76c6281

Observation 34c1664c-e6be-493d-8114-f9a9b1626980 · outbound

This paper cites Uni-navid: A video-based vision- language-action model for unifying embodied navigation tasks,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Uni-navid: A video-based vision- language-action model for unifying embodied navigation tasks,

Reference 28

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source=pdf_text observed=2026-08-04T12:55:37.197153Z digest=sha256:e6a7b40aa991820f45ecf342da9fd7b49e4d8d730cc4b9e465ed6a6d468dc78c

Observation a37219ec-9233-4ce4-a7f7-fb2ff0a3871f · outbound

This paper cites Conceptfusion: Open-set multimodal 3d mapping,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Conceptfusion: Open-set multimodal 3d mapping,

Reference 29

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source=pdf_text observed=2026-08-04T12:55:37.207593Z digest=sha256:b463728cd42480221d8d26172ad4d190cdb3200fe786187ea2df02e5f232e281

Observation 5add74e7-09ff-4818-9b2b-fd27874a5de1 · outbound

This paper cites M3DMap: Object-aware Multimodal 3D Mapping for Dynamic Environments.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering M3DMap: Object-aware Multimodal 3D Mapping for Dynamic Environments

Reference 30

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source=pdf_text observed=2026-08-04T12:55:37.264433Z digest=sha256:64408ea41aba6e3bfe56ee01a18b99e044b83cf10ba7800fa4b4aa7bc5228672

Observation 8eb47a7b-cf00-4e2c-9efd-a4f31cd9840b · outbound

This paper cites 3d scene graph: A structure for unified seman- tics, 3d space, and camera,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering 3d scene graph: A structure for unified seman- tics, 3d space, and camera,

Reference 31

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source=pdf_text observed=2026-08-04T12:55:37.413714Z digest=sha256:f19eb8f66f9123b3b01c3d7134bf6d33f02adf4f93f7de3d2d19bc3e08b2c5a7

Observation d1cd8322-1a68-4206-bc63-811b6e295d78 · outbound

This paper cites Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

Reference 32

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source=pdf_text observed=2026-08-04T12:55:37.539746Z digest=sha256:2b86a36304c4d03e875ae6e614009dea12f5f6cf6b606c299ecaaa7b6e644ddc

Observation c2c6553b-eb59-4a20-a0f2-1514a11cd4bc · outbound

This paper cites Clio: Real-time task-driven open-set 3d scene graphs,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Clio: Real-time task-driven open-set 3d scene graphs,

Reference 33

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source=pdf_text observed=2026-08-04T12:55:37.657552Z digest=sha256:dedd21b0220ff5ad85b82f20a2e8c41632ecb4aebbc97efec74204314371e393

Observation a244d7f0-ad78-4135-884f-fdd2693559d1 · outbound

This paper cites Ving: Learning open-world navigation with visual goals,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Ving: Learning open-world navigation with visual goals,

Reference 34

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source=pdf_text observed=2026-08-04T12:55:37.840540Z digest=sha256:bc446e8d50234052bc81ab8a85542d96d6b4090590bf33cf91d9ed7b40f3c282

Observation 0eeb7d70-84f1-422c-9a0a-4574a0b76dbf · outbound

This paper cites Graph database applications and concepts with neo4j,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Graph database applications and concepts with neo4j,

Reference 35

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source=pdf_text observed=2026-08-04T12:55:37.905887Z digest=sha256:78b86b2494a212165d67058cb9761440b7e781329757561b814063001cc42725

Observation 181c4784-57fe-452c-819f-374e9b1060be · outbound

This paper cites Vint: A foundation model for visual navigation,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Vint: A foundation model for visual navigation,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:55:37.977019Z digest=sha256:06cb710a55e9934cb0416d0b5c003fa85ae59f70ce74ff1c9a62016b678457ad

Observation 789c8329-2cae-450e-81df-e3a95ae41162 · outbound

This paper cites Nomad: Goal masked diffusion policies for navigation and exploration,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Nomad: Goal masked diffusion policies for navigation and exploration,

Reference 37

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no resolver link, observed 2026-08-04T12:55:38.038485Z

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source=pdf_text observed=2026-08-04T12:55:38.038485Z digest=sha256:95a8db123ac792bf24bdb5f6540a851f6bf4cd06037ac2558707243562f8b140

Observation 2d7d1e6a-f3bf-4e63-a94f-a100b1feedc2 · outbound

This paper cites EgoWalk: A Multimodal Dataset for Robot Navigation in the Wild.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering EgoWalk: A Multimodal Dataset for Robot Navigation in the Wild

Reference 38

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unresolved
no resolver link, observed 2026-08-04T12:55:38.105187Z

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source=pdf_text observed=2026-08-04T12:55:38.105187Z digest=sha256:bc1a2f321d0612100e1f1a856c196ef2acdd52d1c95d9aebfaf884df4a97723f

Observation 45a55133-aecb-46ac-9e6c-00937109ee96 · outbound

This paper cites Slam toolbox: Slam for the dynamic world,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Slam toolbox: Slam for the dynamic world,

Reference 39

Resolution
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no resolver link, observed 2026-08-04T12:55:38.197025Z

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source=pdf_text observed=2026-08-04T12:55:38.197025Z digest=sha256:a9f3120092768adc12e92769588622c3f8b4f7f2d7c639b2e83b677eee3ec8ae

Observation a795cf78-473f-41d2-be04-27c3b471bd4a · outbound

This paper cites Ros navigation: Concepts and tutorial,.

Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering Ros navigation: Concepts and tutorial,

Reference 40

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unresolved
no resolver link, observed 2026-08-04T12:55:38.286333Z

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source=pdf_text observed=2026-08-04T12:55:38.286333Z digest=sha256:beb59a6dcdb21ab91728820386c0695783130c3d5e5ced28f433c340d3ee998c

Pith citing papers

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