Paper Citation Record · LEDGER

Pointy - A Lightweight Transformer for Point Cloud Foundation Models

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2603.10963.

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

pith.paper-citation-record.v1
2603.10963 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T13:28:23.934522Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact3
verified fuzzy29
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b59bbfe-da12-4e1b-893e-3fc4c31a1a37 · outbound

This paper cites La nguage models are few-shot learners.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models La nguage models are few-shot learners

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.914004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd03de7d-f215-41f8-aa42-dd595a3cf2fb · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Objave rse: A universe of annotated 3d objects

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.887129Z

Source-reported events for the cited work

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Observation f3f86e20-6c34-4dc6-99a9-307d89f8b4d3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T13:30:01.613409Z

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Observation 80eb9871-7ac8-4677-9efb-e2c6bca1a5ac · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.871854Z

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Observation 24cef866-47e3-4faa-8024-ae979ab1c613 · outbound

This paper cites an unresolved cited work.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Unresolved cited work

Reference 5

Resolution: parse uncertain; raw_fallback, observed 2026-05-15T13:30:01.860700Z

Source-reported events for the cited work

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Observation a358559e-7c45-4ffa-a378-287fdcf1b924 · outbound

This paper cites Point transf ormer.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Point transf ormer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.858184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a727fad0-1f03-4497-8eb4-d423ea1de09d · outbound

This paper cites Moment: A family of open time-series foundation models.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Moment: A family of open time-series foundation models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.893456Z

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Observation b9556d88-869b-45db-a0b7-bd24575bbd30 · outbound

This paper cites 3d semantic segmentation with submanifold sparse convolutional networks.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models 3d semantic segmentation with submanifold sparse convolutional networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.900884Z

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Observation ae9cc7ff-6e2d-4b98-aa5c-eeee2d98d538 · outbound

This paper cites Pct: Point cloud transformer.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Pct: Point cloud transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.903115Z

Source-reported events for the cited work

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Observation 26024ed0-c9be-4d31-be8a-7c3e922ab0e1 · outbound

This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:30:01.609235Z

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Observation 20dc8fba-09f5-4aba-a3d5-c427417c8c9d · outbound

This paper cites Delving de ep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Delving de ep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.869517Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 37187f19-6b7b-4fbc-94a6-6c7885bd8552 · outbound

This paper cites Deep res idual learning for image recognition.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Deep res idual learning for image recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.916000Z

Source-reported events for the cited work

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Observation d487824a-a027-44a7-b132-8b8654624798 · outbound

This paper cites Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:30:01.604001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc6c082b-835c-4817-97aa-20d86913979a · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Openshape: Scaling up 3d shape representation towards open-world understanding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.884860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 647491fb-77c3-4640-a11a-ce1dc17cdb25 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windo ws.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Swin transformer: Hierarchical vision transformer using shifted windo ws

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.908535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a441bc7-4ec0-45d9-af42-7af71e745344 · outbound

This paper cites Rethinking network design and local ge- ometry in point cloud: A simple residual MLP framework.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Rethinking network design and local ge- ometry in point cloud: A simple residual MLP framework

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.925427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26f2a6d8-bba8-4bb5-9b89-cfc817d27be5 · outbound

This paper cites Opendlign: Ope n-world point cloud understanding with depth-aligned images.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Opendlign: Ope n-world point cloud understanding with depth-aligned images

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.895610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c60d0907-3b6c-4f8d-aefb-6bdf0c888479 · outbound

This paper cites Vo, and Marc Szafraniec et al.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Vo, and Marc Szafraniec et al

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.905647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7aaa9453-d694-4324-bbb2-db49dfa93233 · outbound

This paper cites Masked au- toencoders for point cloud self-supervised learning.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Masked au- toencoders for point cloud self-supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.893012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d8de796b-1f05-449d-bf8a-a86d17094a72 · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Pointnet : Deep learning on point sets for 3d classiﬁcation and segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.918145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bd87137-1482-4de2-9fcc-c24c81473e10 · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Poin tnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.887939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41f8e393-554a-4485-9f5a-9d332d03f9d4 · outbound

This paper cites Contrast with reconstruct: Contrastive 3d representation learning guided by g enerative pretraining.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Contrast with reconstruct: Contrastive 3d representation learning guided by g enerative pretraining

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.890533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f31c02cd-ee45-447f-8c78-4dbbbda85458 · outbound

This paper cites Language models are unsupervised multitask learners.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Language models are unsupervised multitask learners

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.874173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1211dc57-bd4f-40a6-8764-956f6445dcff · outbound

This paper cites Revisiting point cloud classiﬁcation: A new benchmark dataset and classiﬁcatio n model on real-world data.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Revisiting point cloud classiﬁcation: A new benchmark dataset and classiﬁcatio n model on real-world data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.880857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e28401d-1a70-4ad4-bd9b-953513c9f9bf · outbound

This paper cites Attention is all you need.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Attention is all you need

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.882873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4ccc1f5-bb8d-48f0-9ba2-6e144b4f4405 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Dynamic graph cnn for learning on point clouds

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.920563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e37387f-e884-4d60-99c9-a6524b9a02e1 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models 3d shapenets: A deep representation for volumetric shapes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.877169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63445cee-9723-48ef-b19b-34f439587170 · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Pointllm: Empowering large language models to understand point clouds

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.911782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c20417e4-e2e6-45ca-9c13-1e7830131882 · outbound

This paper cites Ulip-2: Towards scala ble multimodal pre-training for 3d understanding.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Ulip-2: Towards scala ble multimodal pre-training for 3d understanding

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.898283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9027f8b6-ba93-4ef5-bf21-958edcf86fb7 · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.889059Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1cf1af0-c162-47d9-96ad-81bf865a5919 · outbound

This paper cites Tamm: Triada pter multi-modal learning for 3d shape understanding.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Tamm: Triada pter multi-modal learning for 3d shape understanding

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.891433Z

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Observation 34063148-4dd8-41fc-9d52-aed3eddb8de5 · outbound

This paper cites Point transformer.

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Point transformer

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.867289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbdc1f5b-cc79-4248-adb0-4998d42aef1c · outbound

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

Pointy - A Lightweight Transformer for Point Cloud Foundation Models Uni3d: Exploring uniﬁed 3d representation at scale

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:30:01.922698Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.