Paper Citation Record · LEDGER

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2501.06785.

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

pith.paper-citation-record.v1
2501.06785 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:04.709047Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T13:44:41.461355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:54:44.270335Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy11
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 266e2225-1764-42e9-b60b-df22a0a05b39 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes ShapeNet: An Information-Rich 3D Model Repository

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.519492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582934a9-a0bb-4377-bf48-0f44793aee92 · outbound

This paper cites 3D ShapeNets: A Deep Representation for Volumetric Shapes.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes 3D ShapeNets: A Deep Representation for Volumetric Shapes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.526104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214ad20a-68f0-4566-aa39-a61e4f035267 · outbound

This paper cites 3D-FUTURE: 3D Furniture shape with TextURE.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes 3D-FUTURE: 3D Furniture shape with TextURE

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.531639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22fd371d-2e6e-4064-bd0d-d0492fcad722 · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Objaverse: A Universe of Annotated 3D Objects

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.537563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3056e789-400b-41f0-84fa-b71f94120b99 · outbound

This paper cites Objaverse-XL: A Universe of 10M+ 3D Objects.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Objaverse-XL: A Universe of 10M+ 3D Objects

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.336065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74b7dc84-4b80-4b35-8d84-ba0f7e41d1ac · outbound

This paper cites Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.317619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65e025f8-c5a1-44f7-bbb6-ae664ae959dd · outbound

This paper cites PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.554505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b189b940-a438-4244-a94f-6a07e343d9a9 · outbound

This paper cites 3D CoMPaT: Composition of Materials on Parts of 3D Things.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes 3D CoMPaT: Composition of Materials on Parts of 3D Things

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.298964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 435a4093-9089-4e6a-b0b5-4287f6c5a940 · outbound

This paper cites 3DCoMPaT++: An improved large-scale 3d vision dataset for compositional recognition.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes 3DCoMPaT++: An improved large-scale 3d vision dataset for compositional recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.281451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e84e87fa-42cb-4642-b8b9-322dfc68992a · outbound

This paper cites ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.571704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff10e3c-3527-4f8c-ab84-38ebef8d0f54 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.262522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation abcc3bcc-0853-474f-b1cf-9a9e111fdac4 · outbound

This paper cites ObjectNet3D: A Large Scale Database for 3D Object Recognition.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes ObjectNet3D: A Large Scale Database for 3D Object Recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.242484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7aa641b2-c88c-448d-8b4e-1f90e853c90d · outbound

This paper cites ABO: Dataset and Benchmarks for Real-World 3D Object Understanding.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.591816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33ad1182-9124-42c5-a5ed-1307c20bc30b · outbound

This paper cites Learning Material-Aware Local Descriptors for 3D Shapes.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Learning Material-Aware Local Descriptors for 3D Shapes

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T20:53:04.879155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75480929-05a6-49b7-9a5f-b25fe9783fc4 · outbound

This paper cites OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.603076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab63278-9eb4-4c13-9af8-78970d178cf8 · outbound

This paper cites Grounded Situation Recognition.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Grounded Situation Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:53:04.826076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation efed0b9c-db6e-498e-9a2c-102ebde578c6 · outbound

This paper cites Situation Recognition: Visual Semantic Role Labeling for Image Understanding.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Situation Recognition: Visual Semantic Role Labeling for Image Understanding

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.224173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 195c5aed-101e-4d49-98ae-6c6a71f0e062 · outbound

This paper cites Bidirectional Projection Network for Cross Dimension Scene Understanding.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Bidirectional Projection Network for Cross Dimension Scene Understanding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.621633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6822dc4c-3d03-4fe6-bb10-e4b72098720d · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.628265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e534fbf7-d35b-4eac-af51-53d8c7df31b9 · outbound

This paper cites Openshape: Scaling up 3d shape representation towards open-world understanding, 2023.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Openshape: Scaling up 3d shape representation towards open-world understanding, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.192331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4e72e64-ce63-458b-b6b0-c0ddfd373cba · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes An image is worth 16x16 words: Transformers for image recognition at scale

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.640631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05abc8c1-3831-47f6-8825-2b48da7047da · outbound

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

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Uni3d: Exploring unified 3d representation at scale

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.646584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aac2603-e288-4af9-8a6d-2e10741ab688 · outbound

This paper cites an unresolved cited work.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:53:05.150115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1dbea0e4-1a2c-42d3-9413-b2bf6c2edffe · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.656699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883b62ae-0a9b-4e56-aa32-1c1d81eac226 · outbound

This paper cites PCT: Point cloud transformer.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes PCT: Point cloud transformer

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T20:53:04.777050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 582b7cfc-b6e8-4926-b920-bea8cc4e45f4 · outbound

This paper cites Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.669392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d0e807-ae20-4b0a-9692-9e6417bcee42 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling, 2022.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Point-bert: Pre-training 3d point cloud transformers with masked point modeling, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.121123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5004f632-ebd4-470e-b45a-66cf8c48632d · outbound

This paper cites Point transformer v2: Grouped vec- tor attention and partition-based pooling.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Point transformer v2: Grouped vec- tor attention and partition-based pooling

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.102905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a29212ea-47a9-4d18-8f84-fefdfc2658e9 · outbound

This paper cites Point transformer v3: Simpler, faster, stronger.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Point transformer v3: Simpler, faster, stronger

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.689860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee46f71c-3729-4d6a-a998-76b2be9ba0ba · outbound

This paper cites Openclip, July 2021.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Openclip, July 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:04.695136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e93f90-b5ba-4a61-b698-106af876c08c · outbound

This paper cites Gpt-4 technical report, 2023.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Gpt-4 technical report, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:05.058180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d66c948d-0805-48c2-9a93-885ff32079aa · outbound

This paper cites an unresolved cited work.

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:53:05.035179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation d7c96ad5-a812-4c89-a4a4-85a3504a329a · inbound

Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects cites this paper.

Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects 3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:54:44.271758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.