Paper Citation Record · LEDGER

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models

As of 4 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.23312.

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

pith.paper-citation-record.v1
2606.23312 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:13:02.018626Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

27 of 27 outbound references displayed

verified exact7
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier3
metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07d2cbf1-c21c-4aa2-af61-1edadf566b7a · outbound

This paper cites SayPlan: Grounding large language models using 3d scene graphs for scalable robot task planning,.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models SayPlan: Grounding large language models using 3d scene graphs for scalable robot task planning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60649ebf-374e-4d1a-852e-c3d4c285fca4 · outbound

This paper cites In: Robotics: Science and Systems XVIII.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models In: Robotics: Science and Systems XVIII

Reference 2

Resolution: metadata mismatch; doi, observed 2026-06-26T08:19:10.842580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 919cca5c-a87d-4ff5-ac7c-1df671cdd9bd · outbound

This paper cites IEEE Robotics and Automation Letters9(10), 8921–8928 (2024).

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models IEEE Robotics and Automation Letters9(10), 8921–8928 (2024)

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:19:10.810690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19c3ce2b-25fb-4376-b6aa-75c2b1c28a9d · outbound

This paper cites PoseNet: A convolutional network for real-time 6-dof camera relocalization.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models PoseNet: A convolutional network for real-time 6-dof camera relocalization

Reference 4

Resolution: malformed identifier; doi_truncated, observed 2026-06-26T08:19:10.812874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2bd5d47c-62ae-4df0-8fb8-87d2ba0d5f08 · outbound

This paper cites et al., Kimera: From SLAM to spatial perception with 3d dynamic scene graphs , Jan.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models et al., Kimera: From SLAM to spatial perception with 3d dynamic scene graphs , Jan

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb640aa-4fa8-42b3-9296-51b49a0a7f0d · outbound

This paper cites In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, W A, USA, June 16-22.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, W A, USA, June 16-22

Reference 6

Resolution: metadata mismatch; doi, observed 2026-06-26T08:19:10.815203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d7f9213a-1fa2-442e-a27e-6a7fb654d9eb · outbound

This paper cites an unresolved cited work.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbda4d47-6be0-43ae-9b2a-60884b7551c7 · outbound

This paper cites Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:19:10.823165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d3eeff4-b748-4f11-b9e7-ec00d94542cb · outbound

This paper cites 10610948.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models 10610948

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:19:10.826092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 533af813-a350-4217-9fae-f8e55ccb0801 · outbound

This paper cites A comprehensive survey of scene graphs: Generation and application,.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models A comprehensive survey of scene graphs: Generation and application,

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:59:46.812422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4347c464-8ab1-4ffc-82e4-c0b74b47beaf · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Emogen: Emotional image content generation with text-to-image diffusion models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:19:10.831257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 396c6faa-c799-4e3a-9d8a-f3456bc63b33 · outbound

This paper cites Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:59:46.804860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79712e01-dd06-41ae-9e11-4536c129f9f7 · outbound

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

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Learning transferable visual models from natural language supervision,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4ef50e1-e626-4cb2-b59c-07642bd3d09e · outbound

This paper cites Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:59:46.807696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9eac1cf1-6111-445f-b3ba-c388c69acaa3 · outbound

This paper cites Derf: Decomposed radiance fields.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Derf: Decomposed radiance fields

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:59:46.807478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation df58ec21-2124-4bb4-9726-0311093eb978 · outbound

This paper cites Lang3dsg: Language-based contrastive pre-training for 3d scene graph prediction,.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Lang3dsg: Language-based contrastive pre-training for 3d scene graph prediction,

Reference 16

Resolution: verified exact; doi, observed 2026-06-26T08:19:10.820165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79eb810c-325c-4298-a02b-2c30dffde17e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp

Reference 17

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T10:59:46.799325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 361be2d3-3069-4273-b086-e805ed290eba · outbound

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

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Hierarchical open-vocabulary 3d scene graphs for language-grounded robot navigation

Reference 18

Resolution: verified exact; doi, observed 2026-06-26T08:19:10.819540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55042b7a-2da2-42c7-a088-a5e720271da2 · outbound

This paper cites an unresolved cited work.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e585e06-72a6-4e48-ab99-c98d80bfb958 · outbound

This paper cites Segment Anything.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Segment Anything

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:59:46.809971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d4bd212-48a4-4088-9c73-e0b7dfc98fb1 · outbound

This paper cites Hilbert’s sixth problem: derivation of fluid equations via Boltzmann’s kinetic theory.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Hilbert’s sixth problem: derivation of fluid equations via Boltzmann’s kinetic theory

Reference 21

Resolution: metadata mismatch; doi, observed 2026-06-26T08:19:10.828068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0b31028e-5e6f-4e36-994a-b86ff961f755 · outbound

This paper cites Brown, Daniel Seita, Brijen Thananjeyan, Ellen R.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Brown, Daniel Seita, Brijen Thananjeyan, Ellen R

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:59:46.801951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a4e4021-850d-458a-a14b-fe67fa2bfd62 · outbound

This paper cites Qwen3 Technical Report.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Qwen3 Technical Report

Reference 23

Resolution: malformed identifier; local_arxiv, observed 2026-06-26T08:19:10.835324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 699c94c6-4408-4c60-8d38-6d8a437a4d88 · outbound

This paper cites 10, 2023.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models 10, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc49ecdb-0cc1-4092-a328-be13162b5a39 · outbound

This paper cites Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Niessner.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Niessner

Reference 25

Resolution: metadata mismatch; doi, observed 2026-06-26T08:19:10.837897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8fbc04b-5387-4d49-9afd-e9c043d22320 · outbound

This paper cites an unresolved cited work.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T08:13:02.018626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e00ecfa-5ac0-4a6d-a77e-272b75436b25 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-26T08:19:10.840548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.