Paper Citation Record · LEDGER

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR

As of 24 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.03262.

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

pith.paper-citation-record.v1
2509.03262 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:35:55.257562Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy17
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 572e2e13-8597-4713-a08e-2fa4dacc3400 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Deep Learning using Rectified Linear Units (ReLU)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.183701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a34c5a3-ed55-4608-b3f4-712950d25e5a · outbound

This paper cites Layer Normalization.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Layer Normalization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.187790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15faf636-1c63-4f48-8fb0-480ecca5117a · outbound

This paper cites End-to- end object detection with transformers.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR End-to- end object detection with transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.755896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90db517d-fd45-49c4-94f3-c1a2844b229b · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.194538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac6aae8-adf9-485c-bc97-45506998a007 · outbound

This paper cites trimesh, 2019.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR trimesh, 2019

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.738343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82383f81-1c75-4896-85b8-20d39871698d · outbound

This paper cites Complexgen: Cad reconstruction by b-rep chain complex generation.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Complexgen: Cad reconstruction by b-rep chain complex generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.728596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70656720-f625-4741-8fd9-136a0bd6be1b · outbound

This paper cites Polyroad: Polyline transformer for topological road-boundary detec- tion.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Polyroad: Polyline transformer for topological road-boundary detec- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.718690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99069245-8596-4942-9c89-15baedfa9c98 · outbound

This paper cites Jean senel lart, and alexander rush.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Jean senel lart, and alexander rush

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.708949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d326b781-2a27-4bbf-980e-f2357f6379ea · outbound

This paper cites Abc: A big cad model dataset for geometric deep learning.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Abc: A big cad model dataset for geometric deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.698524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f090a2e7-7252-44d1-9ac0-ee7da8dbe362 · outbound

This paper cites The hungarian method for the assignment problem.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR The hungarian method for the assignment problem

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.213181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ea1ef5-bd1c-4827-bece-d42bb2542130 · outbound

This paper cites {PC}2wf: 3d wireframe reconstruction from raw point clouds.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR {PC}2wf: 3d wireframe reconstruction from raw point clouds

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.682917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 533f2970-1c58-49f9-9dc2-b3dbbd33bc8e · outbound

This paper cites Decoupled weight de- cay regularization.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Decoupled weight de- cay regularization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.219024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517fa76a-863c-4aa3-b1fa-6d0fbe675707 · outbound

This paper cites Def: Deep estimation of sharp geometric features in 3d shapes.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Def: Deep estimation of sharp geometric features in 3d shapes

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.666265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c86aabc1-5495-4c40-a892-ffe73fe8f4d9 · outbound

This paper cites An end-to- end transformer model for 3d object detection.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR An end-to- end transformer model for 3d object detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.655541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99c982c5-0394-4464-92b2-b03b42b0530b · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Pytorch: An im- perative style, high-performance deep learning library

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.228105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fccdacc-f968-42ea-82fb-9f0d5cda9b9a · outbound

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

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.640631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b20c1f65-cb75-4078-a7b4-f2bc4aa35ecf · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR U- net: Convolutional networks for biomedical image segmen- tation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.233850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa08ecd-b810-460d-aa1d-d3a79c2e9afc · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Dropout: a simple way to prevent neural networks from overfitting

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.624308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 187b1a40-f1fa-42d4-9ace-82f6c26ccdb7 · outbound

This paper cites Surface sampling for optimal viewpoint generation.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Surface sampling for optimal viewpoint generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.614376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad3ff421-1022-4b19-a5ab-cf32af3a006b · outbound

This paper cites Visual quality inspection planning: A model- based framework for generating optimal and feasible inspec- tion poses.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Visual quality inspection planning: A model- based framework for generating optimal and feasible inspec- tion poses

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.604561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a91b5ec7-fe85-412f-a926-3428bc382b1a · outbound

This paper cites Attention is all you need.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Attention is all you need

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.595203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 695f5468-02a7-4b8f-90af-da639aac21fb · outbound

This paper cites Point2primitive: Cad reconstruc- tion from point cloud by direct primitive prediction.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Point2primitive: Cad reconstruc- tion from point cloud by direct primitive prediction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:55.248975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f29a70-75fa-492d-805d-a95f7f5c35ec · outbound

This paper cites Pie-net: Parametric inference of point cloud edges.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Pie-net: Parametric inference of point cloud edges

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.585996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3047b5b-a14b-4053-ba04-f8e7256eb8a9 · outbound

This paper cites Ec-net: an edge-aware point set consoli- dation network.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Ec-net: an edge-aware point set consoli- dation network

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.576737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc74619b-0bdf-4c68-ba78-9f28889a185f · outbound

This paper cites Nerve: Neural volumetric edges for parametric curve extraction from point cloud.

PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR Nerve: Neural volumetric edges for parametric curve extraction from point cloud

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:35:55.566921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.