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Paper Citation Record · LEDGER

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2506.06804.

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

pith.paper-citation-record.v1
2506.06804 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:07.873070Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T04:16:43.734503Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:44.232698Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec120d9d-df84-46a8-9b39-7ebdcb82738c · outbound

This paper cites Whole-body integrated motion planning for aerial manipulators,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Whole-body integrated motion planning for aerial manipulators,

Reference 1

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Observation 08987ba5-69d6-4829-a680-a721fee1947b · outbound

This paper cites An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f3671d26-6c95-468c-a06c-f498718bc88f · outbound

This paper cites Navigating to objects in the real world,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Navigating to objects in the real world,

Reference 3

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Observation bafc2c46-4be3-4d9a-92e2-29c2308e8273 · outbound

This paper cites Scenegraph- fusion: Incremental 3d scene graph prediction from rgb-d sequences,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Scenegraph- fusion: Incremental 3d scene graph prediction from rgb-d sequences,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ca812c5d-f647-4d7e-b531-107e260eb07c · outbound

This paper cites Collab- orative dynamic 3d scene graphs for automated driving,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Collab- orative dynamic 3d scene graphs for automated driving,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 962af528-27cb-4f1d-b5e3-359ef546d93b · outbound

This paper cites SAM3D: Segment Anything in 3D Scenes.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion SAM3D: Segment Anything in 3D Scenes

Reference 6

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source=pdf_text observed=2026-08-07T05:53:07.709131Z digest=sha256:af1fd48470ec63be47f975264ba75d6500dfb92a0f4ea4d2621f481e1e8f2174

Observation f7cadcd1-174d-4691-a1f4-98ff2b56896c · outbound

This paper cites Kimera: an open- source library for real-time metric-semantic localization and mapping,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Kimera: an open- source library for real-time metric-semantic localization and mapping,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ccf55250-f106-482f-879f-fe8ce9732713 · outbound

This paper cites Fusion++: V olumetric object-level slam,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Fusion++: V olumetric object-level slam,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a4f04c2a-6be7-4f71-8a05-e02ec6699874 · outbound

This paper cites Semanticfu- sion: Dense 3d semantic mapping with convolutional neural networks,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Semanticfu- sion: Dense 3d semantic mapping with convolutional neural networks,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.724756Z digest=sha256:5f5ac01c24996d864e903daf0bc41eb5a3000b27bbeb351e6d5c4881d2e49e0c

Observation f98175ba-ba07-4df9-bd11-f7e3a5bb6b03 · outbound

This paper cites Segment Anything.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Segment Anything

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:53:07.729504Z digest=sha256:61368cedaff3e1eca83c7e26d7257d2e89c1981679c41bcb0a5cc5473f5c8b12

Observation 391c2aac-d832-496a-bd49-840c4558f0b1 · outbound

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

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.734112Z digest=sha256:7c83df10d804badb574c6b4eb4172f7062cb6cf25d3c0af113ccd22e33bf9964

Observation 8e753be2-d76b-4283-b977-1c28e9eede69 · outbound

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

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Hi- erarchical open-vocabulary 3d scene graphs for language-grounded robot navigation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.738778Z digest=sha256:da37db68d02db38d6732aac3bcb76b756599411bf5b7c88f87fa8de723b07639

Observation d49e6118-8519-4987-811d-097cfd41326e · outbound

This paper cites Kimera: From slam to spatial perception with 3d dynamic scene graphs,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Kimera: From slam to spatial perception with 3d dynamic scene graphs,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.744057Z digest=sha256:3cee5d04e2430f1edf63ebe497a1ff0504ea11b3c9ddd729189da46631277c7b

Observation 2e13f4bc-c5cc-4dec-a2ff-3d87d57dc4cd · outbound

This paper cites GOAT: GO to Any Thing.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion GOAT: GO to Any Thing

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.748622Z digest=sha256:28ece1ddd887e3aac56a16b5bd9bd2c81fac0afddf04f54714b1c04a079d291f

Observation 8ac06ba7-5830-43be-bf05-3f558e0a2df7 · outbound

This paper cites Learning to Explore using Active Neural SLAM.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Learning to Explore using Active Neural SLAM

Reference 15

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Observation c5a620c0-146e-400a-9f57-4cebf12d57bc · outbound

This paper cites Semantics- aware receding horizon planner for object-centric active mapping,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Semantics- aware receding horizon planner for object-centric active mapping,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.758794Z digest=sha256:514cd7e5b85989bff097f9b24c9d28dfb64be54fc5513fd09d9a7df3e5b4408c

Observation 956c4fd1-e6b2-4eca-b3de-269e33d0a2b0 · outbound

This paper cites Elasticfusion: Real-time dense slam and light source estimation,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Elasticfusion: Real-time dense slam and light source estimation,

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:53:07.763351Z digest=sha256:767824d506709a35305c3dc545c6c0bfa39b1bf2683e1c78acc094456c52c07f

Observation d011add1-12ac-4214-b12e-608ad8cdbfa4 · outbound

This paper cites Fm-fusion: Instance- aware semantic mapping boosted by vision-language foundation mod- els,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Fm-fusion: Instance- aware semantic mapping boosted by vision-language foundation mod- els,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.767902Z digest=sha256:555b572effc7025f0951f7397a6c4b07f7b55b1cf1ff54ea62f684861a9c5490

Observation bd66d2d1-e5ee-4245-8316-8e083c479593 · outbound

This paper cites Graph r-cnn for scene graph generation,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Graph r-cnn for scene graph generation,

Reference 19

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source=pdf_text observed=2026-08-07T05:53:07.772641Z digest=sha256:1116ff0558725af4395aff977857809a5b751999352e323a73c497fe6247f0f2

Observation c2cb51f4-830c-48bd-b693-5f8c5dbbc697 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Learning Transferable Visual Models From Natural Language Supervision

Reference 20

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source=pdf_text observed=2026-08-07T05:53:07.777312Z digest=sha256:18f3ed2ff6fce8345059e7d936da7ca9f03521f0f9cdecd868af2bd06bc712fd

Observation 6695920b-c81c-4d50-be78-e831c7400fb5 · outbound

This paper cites Vlfm: Vision- language frontier maps for zero-shot semantic navigation,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Vlfm: Vision- language frontier maps for zero-shot semantic navigation,

Reference 21

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source=pdf_text observed=2026-08-07T05:53:07.782495Z digest=sha256:3b5cf6b26c0495e052c8d186a127d94829d4089dd7335fc3d686fc254db0ffb2

Observation 2deb1a1f-bdcf-43fa-9204-bbea1ef06d36 · outbound

This paper cites SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

Reference 22

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source=pdf_text observed=2026-08-07T05:53:07.787839Z digest=sha256:c33029aeba4b226f8b60b1b1e1e07aca8f3552ea50300c02a12a54311306f01e

Observation 97c166f8-b360-4176-b7ce-de706986258f · outbound

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

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion 3d scene graph: A structure for unified semantics, 3d space, and camera,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 85864b55-9f2e-45c4-8502-6e1033d91205 · outbound

This paper cites Slideslam: Sparse, lightweight, decentral- ized metric-semantic slam for multi-robot navigation,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Slideslam: Sparse, lightweight, decentral- ized metric-semantic slam for multi-robot navigation,

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.797946Z digest=sha256:bd20a65d2a2e468a62c054d8f61c5b21d6a8c72028d16d99964465a96790de41

Observation bc9bee9f-30c5-416d-89f0-83e99a3a33c9 · outbound

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

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.803461Z digest=sha256:b65df2812e83b74a966f6d1ff17d0bbe8d48c27fc59de620308c7bf286f4387e

Observation 0d5d2796-0946-454a-ad40-0bd84545f2ca · outbound

This paper cites Room segmentation: Survey, implementation, and analysis,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Room segmentation: Survey, implementation, and analysis,

Reference 26

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raw_fallback, observed 2026-08-07T05:53:08.419619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.808631Z digest=sha256:93d8bd77802fa3058fd5318c4530f7b80d2d929e1320e63cbcaebe699cd08194

Observation b3213977-86a5-45bb-94e6-3bfcf1bebbcd · outbound

This paper cites Predicting the layout of par- tially observed rooms from grid maps,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Predicting the layout of par- tially observed rooms from grid maps,

Reference 27

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raw_fallback, observed 2026-08-07T05:53:08.403022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.813570Z digest=sha256:3381a4afedc8dca7bad06f2f4c74b439eff8a5d9520f89d5b3efe9097e706368

Observation 24052dad-99b5-4751-8204-ab16612fbab6 · outbound

This paper cites Robust structure identification and room segmentation of cluttered indoor environments from occupancy grid maps,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Robust structure identification and room segmentation of cluttered indoor environments from occupancy grid maps,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.818460Z digest=sha256:6ffb44080ff74ee5122e1f5fd3edb5d60fbf8e291f7ef8fca6e10f94cfdcc731

Observation 97d5ab21-3563-4a9d-8ee8-8b9d79a1adfb · outbound

This paper cites Hierarchical topometric representation of 3d robotic maps,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Hierarchical topometric representation of 3d robotic maps,

Reference 29

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raw_fallback, observed 2026-08-07T05:53:08.375751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.823562Z digest=sha256:545d0138f96d8cb39f23e29b00e65a36c5128cd088e1b09772f798fefef5888a

Observation bda5de8c-4cfb-4949-af81-baeb977f7f29 · outbound

This paper cites Automatic room segmentation from unstructured 3-d data of indoor environments,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Automatic room segmentation from unstructured 3-d data of indoor environments,

Reference 30

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raw_fallback, observed 2026-08-07T05:53:08.358174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.828451Z digest=sha256:ed6c4cbab5bd775bc51b5290be9f43f568ab9f401bab31c9027f964ffee9aba8

Observation a82950c7-75c1-4453-ae1d-d82cbecc6e4d · outbound

This paper cites Topomap: Topological mapping and navigation based on visual slam maps,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Topomap: Topological mapping and navigation based on visual slam maps,

Reference 31

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raw_fallback, observed 2026-08-07T05:53:08.341979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.833296Z digest=sha256:50dcaa0d489b8eda7d06e920a3e3204764e03f6dd446fb9e356dc766031c5c30

Observation 28270640-defe-4fe1-ac97-9ae8bc18304a · outbound

This paper cites Fast 3d sparse topological skeleton graph generation for mobile robot global planning,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Fast 3d sparse topological skeleton graph generation for mobile robot global planning,

Reference 32

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raw_fallback, observed 2026-08-07T05:53:08.325108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.837883Z digest=sha256:382d5ad0b80be328367517215be8a2eedefea3d97d79294e4dd07fe7dd558716

Observation cdd6eef2-6da3-4f27-b540-afa856d6fa7f · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.842726Z digest=sha256:eb7ca2c0247c032304b541d76616c93aa5eaf56aeae12e8bbe64dc9687e82a22

Observation c2583e25-ccfe-4f11-aa8b-50fef0ba8d16 · outbound

This paper cites A review of deep learning- based semantic segmentation for point cloud,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion A review of deep learning- based semantic segmentation for point cloud,

Reference 34

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raw_fallback, observed 2026-08-07T05:53:08.298740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.847757Z digest=sha256:0316c98c6f3830c607e3bc7074f989de16a4be390b6821f055e685da34edfee8

Observation 4126c57e-fdb6-4f88-946c-0ce77a6c9ea2 · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Oneformer3d: One transformer for unified point cloud segmentation,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:07.852973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.852973Z digest=sha256:1e39e0b1ee4ebb90092d4ee70edb33e39b6119c8aee3b8ea79955e58b0c914df

Observation ab15eee3-36a9-418b-a342-7e412af13810 · outbound

This paper cites Structures of mental spaces: How people think about space,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Structures of mental spaces: How people think about space,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:08.268888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:53:07.858075Z digest=sha256:cf7e799c7b13ff663cb83037ddeb2e449b521a8f71775d7b97fd83b211266502

Observation 80654c53-7cd5-4b91-a723-0017d6258f3e · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:07.863277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.863277Z digest=sha256:a743510d17880cbea879b521cc8acaefc56d60997b6dd8fd085ee61dc7097c8f

Observation 0f36692d-4475-434d-9384-09ee85acfe5d · outbound

This paper cites Fast-livo2: Fast, direct lidar-inertial-visual odometry,.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion Fast-livo2: Fast, direct lidar-inertial-visual odometry,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:07.868188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.868188Z digest=sha256:426a9e1987652205171095ef33e37e681dffe1e28a193107f5a91cfa3fbede12

Observation bd704e6b-89c6-4ffb-b83c-1be327e91150 · outbound

This paper cites GPT-4 Technical Report.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion GPT-4 Technical Report

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:07.873070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.873070Z digest=sha256:280c0febdd579f527a2c77ff2a94a849bfb705abca55bbdc60132f9dff987ceb

Pith citing papers

Observation 64c7f3cd-9d3d-423c-afb7-5dd81fcd3b00 · inbound

Feasibility of Indoor Frame-Wise Lidar Semantic Segmentation via Distillation from Visual Foundation Model cites this paper.

Feasibility of Indoor Frame-Wise Lidar Semantic Segmentation via Distillation from Visual Foundation Model IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:19.220601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T04:49:35.318158Z digest=sha256:15f071c7bf8d8891e4ada8226976ad8bc78f270e4a6e85c2bd9398c2154119b9

Observation 1f28df43-b877-4edd-9f90-2b3fc650473e · inbound

3D Scene Graphs: Open Challenges and Future Directions cites this paper.

3D Scene Graphs: Open Challenges and Future Directions IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:44.234257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T04:16:43.734503Z digest=sha256:25894281716823c2ed674d1340bd857bb1841bbbae48c5940773845795de76c7