Paper Citation Record · LEDGER

ROOT: VLM based System for Indoor Scene Understanding and Beyond

As of 13 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 3 inbound Pith citation observations for arXiv:2411.15714.

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

pith.paper-citation-record.v1
2411.15714 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:18.803304Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:53:00.943821Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:18:54.098490Z

Reference resolution

88 of 88 outbound references displayed

verified exact3
verified fuzzy55
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6c7504f-9516-4f5f-b774-72047c101214 · outbound

This paper cites GPT-4 Technical Report.

ROOT: VLM based System for Indoor Scene Understanding and Beyond GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.564198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3eaba14-492b-4cdc-ae2d-120fe54ba347 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.568011Z

Source-reported events for the cited work

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Observation 58a61e6b-a608-41f5-946d-d143b49a35fa · outbound

This paper cites Towards in-context scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Towards in-context scene understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.571482Z

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Observation 60fd053f-fe81-4fb7-89fa-20945be29804 · outbound

This paper cites MAPLM: A real-world large-scale vision-language benchmark for map and traffic scene under- standing.

ROOT: VLM based System for Indoor Scene Understanding and Beyond MAPLM: A real-world large-scale vision-language benchmark for map and traffic scene under- standing

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.574421Z

Source-reported events for the cited work

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Observation b117f13b-f66a-4f9d-927c-15e4d3827d26 · outbound

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

ROOT: VLM based System for Indoor Scene Understanding and Beyond SpatialVLM: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.577277Z

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Observation 9b20ee71-6525-4ef2-b534-c7759cc61d09 · outbound

This paper cites Poly- Diffuse: Polygonal shape reconstruction via guided set diffu- sion models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Poly- Diffuse: Polygonal shape reconstruction via guided set diffu- sion models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.580966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 020dc9fc-4d84-4baa-bf18-e566e74af60d · outbound

This paper cites InternVL: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

ROOT: VLM based System for Indoor Scene Understanding and Beyond InternVL: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.583838Z

Source-reported events for the cited work

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Observation f52cd7bf-92f4-4007-965f-8c41948b3f5b · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond The cityscapes dataset for semantic urban scene understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.586825Z

Source-reported events for the cited work

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Observation d9923801-0003-4e7b-b5e7-ee17336f2daf · outbound

This paper cites InstructBLIP: towards general-purpose vision-language models with instruction tuning.

ROOT: VLM based System for Indoor Scene Understanding and Beyond InstructBLIP: towards general-purpose vision-language models with instruction tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.589469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e14e38a-ef65-48a6-857e-611fd4578a0f · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Objaverse: A universe of annotated 3d objects

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.592056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2292a49c-c425-4563-b398-826e48e06cbb · outbound

This paper cites PLA: Language-driven open- vocabulary 3d scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond PLA: Language-driven open- vocabulary 3d scene understanding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.446113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86b3923f-4e51-4d43-a509-03b3ccf645af · outbound

This paper cites Shape anchor guided holistic indoor scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Shape anchor guided holistic indoor scene understanding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.438257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7801d887-d0a7-4588-bc59-705e5e17dd87 · outbound

This paper cites The Llama 3 Herd of Models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond The Llama 3 Herd of Models

Reference 13

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Source-reported events for the cited work

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Observation 5e214b70-bc06-4223-bca8-bfbf1fec0407 · outbound

This paper cites Data Filtering Networks.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Data Filtering Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.603007Z

Source-reported events for the cited work

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Observation 3f97cf4f-c0b2-4a96-adc1-fb1c65d52bc5 · outbound

This paper cites 3D-FUTURE: 3d furniture shape with texture.

ROOT: VLM based System for Indoor Scene Understanding and Beyond 3D-FUTURE: 3d furniture shape with texture

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.430344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 59b10919-b9f0-4428-8f26-eb9a5aa5a895 · outbound

This paper cites Dual attention network for scene segmentation.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Dual attention network for scene segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.422370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5bb43f78-c254-4742-99d4-d7c19063c656 · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.611357Z

Source-reported events for the cited work

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Observation a71aaacb-70b9-43bd-94e3-790785a75993 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

ROOT: VLM based System for Indoor Scene Understanding and Beyond ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.614445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4ddc67-a50b-4506-92b4-f0c4b5a18e8b · outbound

This paper cites Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.617908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d386a71c-09b0-4503-b496-18857ad0e4c0 · outbound

This paper cites Scene Graph Reasoning for Visual Question Answering.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Scene Graph Reasoning for Visual Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.620273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e9cabf-2778-458e-890c-600cd8ad29e0 · outbound

This paper cites Probabilistic future prediction for video scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Probabilistic future prediction for video scene understanding

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.414570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f9309be-a5d9-43f1-b7ba-ff7243fe9e11 · outbound

This paper cites Mutual Scene Synthesis for Mixed Reality Telepresence.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Mutual Scene Synthesis for Mixed Reality Telepresence

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd208689-2c21-4649-9265-497b5ecb4787 · outbound

This paper cites Segment any- thing.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Segment any- thing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.406400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ddc1ef5c-9df6-4241-a33f-432e321158ad · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

ROOT: VLM based System for Indoor Scene Understanding and Beyond AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.629784Z

Source-reported events for the cited work

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Observation 186746fb-fbd3-4210-a5b6-6942d03cd0a1 · outbound

This paper cites TopViewRS: Vision-Language Models as Top-View Spatial Reasoners.

ROOT: VLM based System for Indoor Scene Understanding and Beyond TopViewRS: Vision-Language Models as Top-View Spatial Reasoners

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.632789Z

Source-reported events for the cited work

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Observation b525e52b-e32f-4c9d-83c1-fc608ca3262b · outbound

This paper cites From pixels to graphs: Open-vocabulary scene graph generation with vision-language models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond From pixels to graphs: Open-vocabulary scene graph generation with vision-language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.399268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2dc21d4a-bb74-48ca-931f-ca17e087a1d2 · outbound

This paper cites Robotic indoor scene captioning from streaming video.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Robotic indoor scene captioning from streaming video

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.392138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9940563-1aec-469c-a000-5ae28d1c5688 · outbound

This paper cites Improved baselines with visual instruction tuning.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Improved baselines with visual instruction tuning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.385091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a4f2041-f045-4fc6-84de-31e7bc6b54b1 · outbound

This paper cites LLaV A-NeXT: Improved reasoning, ocr, and world knowledge, 2024.

ROOT: VLM based System for Indoor Scene Understanding and Beyond LLaV A-NeXT: Improved reasoning, ocr, and world knowledge, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.377558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5016f070-9371-487d-9a87-1b836e57649b · outbound

This paper cites Visual instruction tuning.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Visual instruction tuning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.369396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67103b3c-282d-47df-9eb3-e90e47be7e44 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 31

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Source-reported events for the cited work

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Observation 83fde7c9-9487-40a5-9421-63b16ca6e1b3 · outbound

This paper cites GPT-4o System Card.

ROOT: VLM based System for Indoor Scene Understanding and Beyond GPT-4o System Card

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.652797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b16e217-16a5-4831-8f26-e9856c98a318 · outbound

This paper cites OpenScene: 3d scene understanding with open vocabularies.

ROOT: VLM based System for Indoor Scene Understanding and Beyond OpenScene: 3d scene understanding with open vocabularies

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.361358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff1de0b6-4ca1-4b15-934c-a74ca9c3ab13 · outbound

This paper cites Seamless scene segmentation.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Seamless scene segmentation

Reference 34

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Source-reported events for the cited work

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Observation 472161c7-5c06-48c0-8109-2644c32d1764 · outbound

This paper cites Scene graph refinement network for visual question answering.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Scene graph refinement network for visual question answering

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.345518Z

Source-reported events for the cited work

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Observation 4bab1390-faa2-42fa-9cb2-93dbb2cfb7b2 · outbound

This paper cites Recognizing indoor scenes.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Recognizing indoor scenes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.337626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d666cab-f5ab-4b10-8b0e-6ea5aa25ff42 · outbound

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

ROOT: VLM based System for Indoor Scene Understanding and Beyond Learning transferable visual models from natural language supervision

Reference 37

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Source-reported events for the cited work

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Observation faf5f261-8a75-4ab0-997b-8a852e59a898 · outbound

This paper cites Monocular Depth Estimation using Diffusion Models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Monocular Depth Estimation using Diffusion Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d19b8cda-f938-4146-9ed4-ef835b0d8691 · outbound

This paper cites Structured query- based image retrieval using scene graphs.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Structured query- based image retrieval using scene graphs

Reference 39

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Source-reported events for the cited work

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Observation 0a56fd43-45e3-422f-8b51-80b24bd832c4 · outbound

This paper cites Disentangling orthogonal planes for indoor panoramic room layout estimation with cross-scale distortion awareness.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Disentangling orthogonal planes for indoor panoramic room layout estimation with cross-scale distortion awareness

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.314216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d1f5540-7123-44e0-849e-2bfa049b3cf2 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems.

ROOT: VLM based System for Indoor Scene Understanding and Beyond A benchmark for the evaluation of rgb-d slam systems

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.306154Z

Source-reported events for the cited work

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Observation 9384d069-a990-41ac-a93c-e8b606b903ce · outbound

This paper cites Distilled semantics for comprehensive scene under- standing from videos.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Distilled semantics for comprehensive scene under- standing from videos

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.299127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cbe49e0e-65f2-453c-9568-01d7a18b06b2 · outbound

This paper cites No more ambiguity in 360deg room layout via bi-layout estimation.

ROOT: VLM based System for Indoor Scene Understanding and Beyond No more ambiguity in 360deg room layout via bi-layout estimation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.291871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0db297da-263b-4d79-9c68-95d1f754fb7c · outbound

This paper cites LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:02:18.877852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4dfcf14-e209-46f1-a679-7315b9f71037 · outbound

This paper cites Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Reference 45

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Source-reported events for the cited work

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Observation 1f0785af-c445-4ec8-9ce8-98939b8685e4 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.692598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653f2056-5c20-4f5f-95ed-7dfcc113768d · outbound

This paper cites EmbodiedScan: A holistic multi- modal 3d perception suite towards embodied ai.

ROOT: VLM based System for Indoor Scene Understanding and Beyond EmbodiedScan: A holistic multi- modal 3d perception suite towards embodied ai

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.283685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 830b18c8-db7a-4e83-a440-22dbe9613375 · outbound

This paper cites SUN Database: Exploring a large collection of scene categories.

ROOT: VLM based System for Indoor Scene Understanding and Beyond SUN Database: Exploring a large collection of scene categories

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.275756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4cefe0b-812a-4c15-b771-73f57e960be2 · outbound

This paper cites Unified perceptual parsing for scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Unified perceptual parsing for scene understanding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.267578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2b20125-2f40-469b-9ef9-6bf07abe832c · outbound

This paper cites Depth Anything: Unleashing the power of large-scale unlabeled data.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Depth Anything: Unleashing the power of large-scale unlabeled data

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.259406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 850efc0c-36ca-4216-9cbe-4df5737aa17d · outbound

This paper cites Graph-structured referring expression reasoning in the wild.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Graph-structured referring expression reasoning in the wild

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.251461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 214692b9-1074-408a-867c-0ea8f074b2f4 · outbound

This paper cites PHYSCENE: Physically interactable 3d scene synthesis for embodied ai.

ROOT: VLM based System for Indoor Scene Understanding and Beyond PHYSCENE: Physically interactable 3d scene synthesis for embodied ai

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.243136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4b0342b-d019-4478-acef-ccf8c51d2b37 · outbound

This paper cites HOLODECK: Language guided generation of 3d embodied ai environments.

ROOT: VLM based System for Indoor Scene Understanding and Beyond HOLODECK: Language guided generation of 3d embodied ai environments

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.234386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 538e56b8-ab74-41d0-8a83-c9bc2864b89b · outbound

This paper cites Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.711377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520f711c-08e3-4b90-a522-eebfad3189e9 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

ROOT: VLM based System for Indoor Scene Understanding and Beyond MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.714146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd2f766-dd0a-4847-9c83-87ea93607a0f · outbound

This paper cites Human-aware object placement for visual environment reconstruction.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Human-aware object placement for visual environment reconstruction

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.225556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aff02606-eb00-435c-8066-80d079a16ba2 · outbound

This paper cites Context prior for scene segmenta- tion.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Context prior for scene segmenta- tion

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.216349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4cf6d4f0-d78e-4a71-a42e-16ca4901d708 · outbound

This paper cites Agent3D-Zero: An Agent for Zero-shot 3D Understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Agent3D-Zero: An Agent for Zero-shot 3D Understanding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:18.722908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d7e85e-47c4-453a-aee3-fc84dadafc55 · outbound

This paper cites DeepContext: Context-encoding neural pathways for 3d holistic scene understanding.

ROOT: VLM based System for Indoor Scene Understanding and Beyond DeepContext: Context-encoding neural pathways for 3d holistic scene understanding

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.209079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 80e5cca4-8608-498e-a5d9-2740888eb56a · outbound

This paper cites LUMINOUS: Indoor Scene Generation for Embodied AI Challenges.

ROOT: VLM based System for Indoor Scene Understanding and Beyond LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:02:18.831038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd825d64-eb09-4f38-becb-ec1de78d05b4 · outbound

This paper cites Comprehensive image captioning via scene graph decom- position.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Comprehensive image captioning via scene graph decom- position

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.201427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78cbf77e-e712-43bd-8fe9-31b8bc4b1d14 · outbound

This paper cites select prompt.

ROOT: VLM based System for Indoor Scene Understanding and Beyond select prompt

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.193275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 032cc422-851c-4ad1-9918-62d70b60726e · outbound

This paper cites For instance, in Figure 11, the relationship [1, support, 4] is considered correct if it is correctly extracted from the JSON file.

ROOT: VLM based System for Indoor Scene Understanding and Beyond For instance, in Figure 11, the relationship [1, support, 4] is considered correct if it is correctly extracted from the JSON file

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.185328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9576c886-b533-45db-a771-3a16e590c17e · outbound

This paper cites For example, in Figure 11, object 1 has relationships such as [[1, support, 4], [1, support, 5], [1, support, 6], [1, support, 7]].

ROOT: VLM based System for Indoor Scene Understanding and Beyond For example, in Figure 11, object 1 has relationships such as [[1, support, 4], [1, support, 5], [1, support, 6], [1, support, 7]]

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.177323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5ccf514-aff7-4fd2-8455-f0d7ed1725d1 · outbound

This paper cites For example, in Figure 11, there are four layers: the first layer includes 1: 1,2,3, the second layer contains 2: 4,5,6,7,8,9,10, and so on.

ROOT: VLM based System for Indoor Scene Understanding and Beyond For example, in Figure 11, there are four layers: the first layer includes 1: 1,2,3, the second layer contains 2: 4,5,6,7,8,9,10, and so on

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.169305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6f765fd-4eae-47f5-b73e-3d9a4c38608e · outbound

This paper cites In Figure 11, if an object, such as 1, appears in the JSON, it is considered as accurate.

ROOT: VLM based System for Indoor Scene Understanding and Beyond In Figure 11, if an object, such as 1, appears in the JSON, it is considered as accurate

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.161476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5bb40f7d-1503-4b41-9471-a2a1b48e9bf4 · outbound

This paper cites This metric quantifies the accuracy of the positive predictions made by the model.

ROOT: VLM based System for Indoor Scene Understanding and Beyond This metric quantifies the accuracy of the positive predictions made by the model

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.153574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fcbf0c22-5052-4110-a2d5-e73bf40eed38 · outbound

This paper cites This metric assesses the model’s ability to identify all relevant instances.

ROOT: VLM based System for Indoor Scene Understanding and Beyond This metric assesses the model’s ability to identify all relevant instances

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.145709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 38784c3b-d74a-4904-bea2-7c632ec29d69 · outbound

This paper cites This metric is the harmonic mean of Precision and Recall, providing a balanced measure of both metrics.

ROOT: VLM based System for Indoor Scene Understanding and Beyond This metric is the harmonic mean of Precision and Recall, providing a balanced measure of both metrics

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.137776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f1f70c2b-6f71-4e68-be0f-12830c52b7d3 · outbound

This paper cites object” with a numerical suffix starting from 1. The value of each “object.

ROOT: VLM based System for Indoor Scene Understanding and Beyond object” with a numerical suffix starting from 1. The value of each “object

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.129729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4496e56-7bcf-4663-9aa3-a880d1185d74 · outbound

This paper cites container.

ROOT: VLM based System for Indoor Scene Understanding and Beyond container

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.115143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1704547c-a002-41cb-9f46-1f56fd61050e · outbound

This paper cites Please consider a desk and its tablecloth as one object.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Please consider a desk and its tablecloth as one object

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.108303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 473674bc-6de2-4713-98a6-eb3c50fa62e2 · outbound

This paper cites an unresolved cited work.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:02:19.100746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f9ca715-f0e9-4f48-af0b-95135e7f648b · outbound

This paper cites object1”: {“description.

ROOT: VLM based System for Indoor Scene Understanding and Beyond object1”: {“description

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.093106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9be1a3a-0e8b-4611-8a18-85123cdfde4f · outbound

This paper cites an unresolved cited work.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:02:19.122288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d4e02e5-e3ae-4bff-8c7a-5d14a520ce07 · outbound

This paper cites {container}.

ROOT: VLM based System for Indoor Scene Understanding and Beyond {container}

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.085336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1fcd0d44-701d-43b9-93cc-8ca40f56b816 · outbound

This paper cites {container}.

ROOT: VLM based System for Indoor Scene Understanding and Beyond {container}

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.077809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09c97110-a4c1-4754-9eff-6622d6aa43e2 · outbound

This paper cites {container}.

ROOT: VLM based System for Indoor Scene Understanding and Beyond {container}

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.069999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2760584-2be5-4911-8e39-1523483fb605 · outbound

This paper cites {container}.

ROOT: VLM based System for Indoor Scene Understanding and Beyond {container}

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.062377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 126ed720-09d1-4489-92e1-4deac030f969 · outbound

This paper cites an unresolved cited work.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:02:19.054369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 959063d5-b067-4721-96c5-390bcb4261b2 · outbound

This paper cites object1”: {“description.

ROOT: VLM based System for Indoor Scene Understanding and Beyond object1”: {“description

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.046490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c5782cdb-7aea-4462-a741-812b7c474756 · outbound

This paper cites left”, “center/middle.

ROOT: VLM based System for Indoor Scene Understanding and Beyond left”, “center/middle

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.038490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5f82e30-2497-4467-a527-abe08eeb01e1 · outbound

This paper cites In this situation, you still need to select the the suitable bounding box based on the relative position of these three objects.

ROOT: VLM based System for Indoor Scene Understanding and Beyond In this situation, you still need to select the the suitable bounding box based on the relative position of these three objects

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.029581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bfbdae0-ed21-4bc6-84a7-c1d59798a045 · outbound

This paper cites reason” and “color.

ROOT: VLM based System for Indoor Scene Understanding and Beyond reason” and “color

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.021518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2cc38cc-d8b7-436c-8e85-389144bfb296 · outbound

This paper cites If none of the bounding box meets the description, you should select one randomly.

ROOT: VLM based System for Indoor Scene Understanding and Beyond If none of the bounding box meets the description, you should select one randomly

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:19.013943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc5bd52b-7543-4f94-902c-d1ebb9eefb49 · outbound

This paper cites an unresolved cited work.

ROOT: VLM based System for Indoor Scene Understanding and Beyond Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:02:19.005959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 048d2161-5125-4b16-bf82-629c487b261f · outbound

This paper cites You should select the bounding box and its corresponding color according to the description.

ROOT: VLM based System for Indoor Scene Understanding and Beyond You should select the bounding box and its corresponding color according to the description

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:18.997407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b1a311d3-b5b4-4bde-8146-eb90cb413bd8 · outbound

This paper cites {description}.

ROOT: VLM based System for Indoor Scene Understanding and Beyond {description}

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:18.988634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 79d5886f-8c07-4b1b-8754-0e8a348100fd · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey ROOT: VLM based System for Indoor Scene Understanding and Beyond

Reference 242

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:00.943821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd3770d-7085-48db-bd4e-98922f244666 · inbound

DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation cites this paper.

DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation ROOT: VLM based System for Indoor Scene Understanding and Beyond

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:18:54.158852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 73fb5f02-18e2-4dea-acb2-da36c4314e0d · inbound

Hierarchical Evidence-Driven Reasoning for Long Document Understanding cites this paper.

Hierarchical Evidence-Driven Reasoning for Long Document Understanding ROOT: VLM based System for Indoor Scene Understanding and Beyond

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-11T16:13:40.332262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.