Paper Citation Record · LEDGER

Segment Any 3D-Part in a Scene from a Sentence

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.19331.

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

pith.paper-citation-record.v1
2506.19331 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:00.733804Z

measured 38 of 38 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:00:00.743937Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T13:00:02.209848Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy33
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dae0ab43-4a6e-4838-80cd-b8d55f5878bf · outbound

This paper cites Arkitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data.

Segment Any 3D-Part in a Scene from a Sentence Arkitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:07.564645Z

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 2e8cfcec-b24e-4c8b-868f-5c36f514bce8 · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments.

Segment Any 3D-Part in a Scene from a Sentence Matterport3d: Learning from rgb-d data in indoor environments

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:07.402156Z

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 0e736a7b-b27e-4e85-a192-ab04b6a4d903 · outbound

This paper cites Shapenet: An information-rich 3d model repository.

Segment Any 3D-Part in a Scene from a Sentence Shapenet: An information-rich 3d model repository

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:07.206013Z

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 ab56bf19-561b-4173-bc5d-794f672657c3 · outbound

This paper cites Clip2scene: Towards label-efficient 3d scene understanding by clip.

Segment Any 3D-Part in a Scene from a Sentence Clip2scene: Towards label-efficient 3d scene understanding by clip

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:07.057792Z

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 b058d641-64ec-423e-b79e-3d7db3e0e918 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Segment Any 3D-Part in a Scene from a Sentence Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:57.290866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9299ddf-3890-49be-aa81-60677c50d841 · outbound

This paper cites SceneFun3D: Fine-grained functionality and affordance understanding in 3d scenes.

Segment Any 3D-Part in a Scene from a Sentence SceneFun3D: Fine-grained functionality and affordance understanding in 3d scenes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:06.851373Z

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 a5854ae3-edf0-479f-b640-c1aa42e6c588 · outbound

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

Segment Any 3D-Part in a Scene from a Sentence Pla: Language-driven open-vocabulary 3d scene understanding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:06.669803Z

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 b01d799b-dc3e-4204-b967-6e8040a48344 · outbound

This paper cites Lowis3d: Language- driven open-world instance-level 3d scene understanding.

Segment Any 3D-Part in a Scene from a Sentence Lowis3d: Language- driven open-world instance-level 3d scene understanding

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:06.523170Z

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 c9b86397-a68e-46fe-84a1-5dc7c9a17b0f · outbound

This paper cites Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation.

Segment Any 3D-Part in a Scene from a Sentence Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:06.343766Z

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 3cb568bb-c9a5-497d-8b35-94dbff1bd772 · outbound

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

Segment Any 3D-Part in a Scene from a Sentence Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:06.181432Z

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 31590d88-9b23-4d68-a0e0-2239bd42e312 · outbound

This paper cites Lerf: Language embedded radiance fields.

Segment Any 3D-Part in a Scene from a Sentence Lerf: Language embedded radiance fields

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.976482Z

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 44c9f49a-a902-426d-b3d4-98ab31da056f · outbound

This paper cites Segment anything.

Segment Any 3D-Part in a Scene from a Sentence Segment anything

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:58.144205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ca29fb-dfae-4146-a5dc-ba6effc0023e · outbound

This paper cites Cut pursuit: Fast algorithms to learn piecewise constant functions on general weighted graphs.

Segment Any 3D-Part in a Scene from a Sentence Cut pursuit: Fast algorithms to learn piecewise constant functions on general weighted graphs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.811775Z

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 97c34d83-5d01-4c2c-ac10-3e8c7031cf13 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

Segment Any 3D-Part in a Scene from a Sentence Large-scale point cloud semantic segmentation with superpoint graphs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.624719Z

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 e8ec7941-ff0b-41e6-9428-5659c9487461 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Segment Any 3D-Part in a Scene from a Sentence Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.438205Z

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 0b7a2467-36ed-4e8a-a912-05153fdd6b6e · outbound

This paper cites Multiscan: Scalable rgbd scanning for 3d environments with articulated objects.

Segment Any 3D-Part in a Scene from a Sentence Multiscan: Scalable rgbd scanning for 3d environments with articulated objects

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.279387Z

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 e1e30ffd-5061-4c0f-8f59-75b613a656df · outbound

This paper cites Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding.

Segment Any 3D-Part in a Scene from a Sentence Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.083897Z

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 b80f952f-c4ff-4700-bc31-e34a383fbbb0 · outbound

This paper cites Open3DIS: Open-vocabulary 3d instance segmentation with 2d mask guidance.

Segment Any 3D-Part in a Scene from a Sentence Open3DIS: Open-vocabulary 3d instance segmentation with 2d mask guidance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.937474Z

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 54e0be65-031a-428d-b501-4ab7ba43ba3c · outbound

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

Segment Any 3D-Part in a Scene from a Sentence Openscene: 3d scene understanding with open vocabularies

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.760947Z

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 580d45d1-5053-428b-9a46-e90994b107a6 · outbound

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

Segment Any 3D-Part in a Scene from a Sentence Learning transferable visual models from natural language supervision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.608034Z

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 3c6d0a51-f3d4-438f-a8ea-0a28108a10f8 · outbound

This paper cites Sam 2: Segment anything in images and videos.

Segment Any 3D-Part in a Scene from a Sentence Sam 2: Segment anything in images and videos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.409658Z

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 2f34b79e-06e6-4c4a-94b2-0051abc6e921 · outbound

This paper cites Texture: Text-guided texturing of 3d shapes.

Segment Any 3D-Part in a Scene from a Sentence Texture: Text-guided texturing of 3d shapes

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.190407Z

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 e98c3e71-6447-4c58-a3e0-b7a3ca1f6330 · outbound

This paper cites Language-grounded indoor 3d semantic segmentation in the wild.

Segment Any 3D-Part in a Scene from a Sentence Language-grounded indoor 3d semantic segmentation in the wild

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:03.860724Z

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 345809f0-3298-46aa-8a86-35098ff0e5fe · outbound

This paper cites Mask3d: Mask transformer for 3d semantic instance segmentation.

Segment Any 3D-Part in a Scene from a Sentence Mask3d: Mask transformer for 3d semantic instance segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:03.533309Z

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 7e86ef37-9a08-4211-a1d7-cdb5b2d9bee6 · outbound

This paper cites an unresolved cited work.

Segment Any 3D-Part in a Scene from a Sentence Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:10:03.158906Z

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 55f46e5c-140a-468e-bdcd-aabd11ffccfb · outbound

This paper cites Going denser with open-vocabulary part segmentation.

Segment Any 3D-Part in a Scene from a Sentence Going denser with open-vocabulary part segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:59.750397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2592679b-ca88-45d6-95e8-66661d24ac69 · outbound

This paper cites OpenMask3D: Open-vocabulary 3d instance segmentation.

Segment Any 3D-Part in a Scene from a Sentence OpenMask3D: Open-vocabulary 3d instance segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.936618Z

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 6bf993da-3bda-4f88-9260-978fd75b06fc · outbound

This paper cites Search3d: Hierarchical open-vocabulary 3d segmentation.

Segment Any 3D-Part in a Scene from a Sentence Search3d: Hierarchical open-vocabulary 3d segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.731010Z

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 e3869d9c-c99b-4076-b951-ba6216a0332d · outbound

This paper cites Partdistill: 3d shape part segmentation by vision-language model distillation.

Segment Any 3D-Part in a Scene from a Sentence Partdistill: 3d shape part segmentation by vision-language model distillation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.481935Z

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 f05ac0e4-7d78-4d82-9a98-896d17bc2a99 · outbound

This paper cites Chang, Leonidas J.

Segment Any 3D-Part in a Scene from a Sentence Chang, Leonidas J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.309690Z

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 17a2f6dc-e69b-4315-8b5f-7785020f9c0f · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.

Segment Any 3D-Part in a Scene from a Sentence Florence-2: Advancing a unified representation for a variety of vision tasks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.088956Z

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 4de23616-b85b-4ee4-b4df-24c416b01ba4 · outbound

This paper cites Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding.

Segment Any 3D-Part in a Scene from a Sentence Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.968203Z

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 a228de60-5945-4eca-b93a-244783672087 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

Segment Any 3D-Part in a Scene from a Sentence Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.734933Z

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 3be96a80-ba32-48b7-9d35-68f0a84fcf50 · outbound

This paper cites Sample elimination for generating poisson disk sample sets.

Segment Any 3D-Part in a Scene from a Sentence Sample elimination for generating poisson disk sample sets

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.587981Z

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 9d54488b-34b6-444b-83c5-a9cd65f5af31 · outbound

This paper cites Clip2: Contrastive language-image-point pretraining from real-world point cloud data.

Segment Any 3D-Part in a Scene from a Sentence Clip2: Contrastive language-image-point pretraining from real-world point cloud data

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.402629Z

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 47c179f1-f792-47ed-97f1-17ac7df5f486 · outbound

This paper cites A simple framework for open-vocabulary segmentation and detection.

Segment Any 3D-Part in a Scene from a Sentence A simple framework for open-vocabulary segmentation and detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.234291Z

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 1610aca7-88e5-4811-836b-1028c3f47055 · outbound

This paper cites Uni3d: Exploring unified 3d representation at scale.

Segment Any 3D-Part in a Scene from a Sentence Uni3d: Exploring unified 3d representation at scale

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:00.978669Z

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 2d5f75ae-749e-4e5a-9982-45b250d87065 · inbound

ThinkAfford: Affordance-Centric Reasoning for Fine-Grained 3D Grounding in Cluttered Scenes cites this paper.

ThinkAfford: Affordance-Centric Reasoning for Fine-Grained 3D Grounding in Cluttered Scenes Segment Any 3D-Part in a Scene from a Sentence

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T13:00:02.218262Z

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.