Paper Citation Record · LEDGER

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.13907.

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

pith.paper-citation-record.v1
2509.13907 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:33:37.289633Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

38 of 38 outbound references displayed

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verified fuzzy0
unresolved38
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd5a46dc-231a-42b3-b2ac-9e76fefc10fd · outbound

This paper cites Correlations Are Ruining Your Gradient Descent.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Correlations Are Ruining Your Gradient Descent

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:32.929629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940e7d51-e15b-4eaf-b788-2f08067532b3 · outbound

This paper cites Re- thinking few-shot 3d point cloud semantic segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Re- thinking few-shot 3d point cloud semantic segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.077467Z

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Unavailable: canonical work link unavailable.

Observation 5727f87f-0153-4bf3-94eb-8ca73ca69ea7 · outbound

This paper cites Multimodality helps few-shot 3d point cloud semantic seg- mentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Multimodality helps few-shot 3d point cloud semantic seg- mentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.173429Z

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Observation 20f3e05f-1428-4f79-8196-c6089863f23b · outbound

This paper cites 3d seman- tic parsing of large-scale indoor spaces.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation 3d seman- tic parsing of large-scale indoor spaces

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.318847Z

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Observation 57f971ea-ed85-476f-bdf5-8a4278bfe824 · outbound

This paper cites independent components.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation independent components

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.477149Z

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Observation cf4e6de8-2bea-4c52-b809-51e2db621b31 · outbound

This paper cites Deep learning on 3d semantic segmentation: A detailed review.Remote Sensing, 17(2):298, 2025.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Deep learning on 3d semantic segmentation: A detailed review.Remote Sensing, 17(2):298, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.612160Z

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Observation b2e73c8a-45c7-4ef1-ba6d-38cb22bf8f27 · outbound

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

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation End-to- end object detection with transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.798896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d3a9c22-da02-42b7-9da9-73737c5c0a29 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Masked-attention mask transformer for universal image segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:33.952246Z

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Observation 9ef1e462-ac9b-4b5f-ab1b-14d50ef09e80 · outbound

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

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:34.090983Z

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Unavailable: canonical work link unavailable.

Observation e2a6ffb2-8cb8-4a1e-8247-9eef625206ce · outbound

This paper cites Batch normalization prov- ably avoids ranks collapse for randomly initialised deep net- works.Advances in Neural Information Processing Systems, 33:18387–18398, 2020.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Batch normalization prov- ably avoids ranks collapse for randomly initialised deep net- works.Advances in Neural Information Processing Systems, 33:18387–18398, 2020

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:34.237787Z

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Unavailable: canonical work link unavailable.

Observation 80a894d0-1683-4483-b0fe-6ca433dfc9c8 · outbound

This paper cites Attention is not all you need: Pure attention loses rank dou- bly exponentially with depth.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Attention is not all you need: Pure attention loses rank dou- bly exponentially with depth

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:34.399585Z

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Observation 91d68125-1c2f-4f52-bf35-5c1fc4d604dc · outbound

This paper cites Self- support few-shot semantic segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Self- support few-shot semantic segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:34.570045Z

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Observation 524db85c-df3f-4177-a508-cd0c2dad9952 · outbound

This paper cites Prototype adaption and projection for few- and zero-shot 3d point cloud semantic segmentation.IEEE Transactions on Image Processing, 2023.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Prototype adaption and projection for few- and zero-shot 3d point cloud semantic segmentation.IEEE Transactions on Image Processing, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:34.693860Z

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Observation 4b412d98-4e1d-452b-b06d-ca09299f1b86 · outbound

This paper cites Decorre- lated batch normalization.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Decorre- lated batch normalization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:34.861539Z

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Observation e14cbe90-5a3e-4e33-8e93-0bc15c8b934a · outbound

This paper cites Revealing the Dark Secrets of BERT.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Revealing the Dark Secrets of BERT

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.024528Z

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Observation 4278e6d7-a031-4c0c-9edd-d05e11df5a3a · outbound

This paper cites Stratified trans- former for 3d point cloud segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Stratified trans- former for 3d point cloud segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.123831Z

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Observation c936d96d-b918-419d-81bf-4733db7c206c · outbound

This paper cites Samplenet: Differentiable point cloud sampling.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Samplenet: Differentiable point cloud sampling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.246908Z

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Observation b395ea1a-94d3-4a09-9cb6-2b4ad3d491ff · outbound

This paper cites Activating self- attention for multi-scene absolute pose regression.Advances in Neural Information Processing Systems, 37:38508–38529,.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Activating self- attention for multi-scene absolute pose regression.Advances in Neural Information Processing Systems, 37:38508–38529,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.407940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bec39e7-8d49-4221-870a-b05b2a0a1971 · outbound

This paper cites Temporal alignment-free video matching for few- shot action recognition.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Temporal alignment-free video matching for few- shot action recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.512960Z

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Unavailable: canonical work link unavailable.

Observation 96b6d606-8b7f-4034-b03b-8222c3e3a08d · outbound

This paper cites Localization and expansion: A decoupled frame- work for point cloud few-shot semantic segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Localization and expansion: A decoupled frame- work for point cloud few-shot semantic segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.612715Z

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Unavailable: canonical work link unavailable.

Observation 0e53844c-1166-4142-a7a6-96beda73203a · outbound

This paper cites Masked dis- crimination for self-supervised learning on point clouds.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Masked dis- crimination for self-supervised learning on point clouds

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.726838Z

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Unavailable: canonical work link unavailable.

Observation 43c2feb5-fd85-4283-8340-b8e58fd394fb · outbound

This paper cites Part-aware prototype network for few-shot semantic segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Part-aware prototype network for few-shot semantic segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:35.897857Z

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Unavailable: canonical work link unavailable.

Observation 089ac701-0232-47d3-90cc-4b964b00a0dd · outbound

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

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation An end-to- end transformer model for 3d object detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.075986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fdf0b76-a385-4ae7-bc33-6b800379d5d0 · outbound

This paper cites Boosting few-shot 3d point cloud segmentation via query-guided enhancement.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Boosting few-shot 3d point cloud segmentation via query-guided enhancement

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.233462Z

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Unavailable: canonical work link unavailable.

Observation d5f4d46a-b1d7-4c65-a1fa-562bd99eec3b · outbound

This paper cites How does batch normalization help optimiza- tion?Advances in neural information processing systems, 31, 2018.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation How does batch normalization help optimiza- tion?Advances in neural information processing systems, 31, 2018

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.387594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d00d220-cff9-449b-986e-9bcdb3d99f76 · outbound

This paper cites Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Mask3D: Mask Transformer for 3D Semantic Instance Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.439735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6cc9774-fde1-407b-9141-9390c2fcc189 · outbound

This paper cites Prototypical networks for few-shot learning.Advances in neural informa- tion processing systems, 30, 2017.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Prototypical networks for few-shot learning.Advances in neural informa- tion processing systems, 30, 2017

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.504744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a10b29c-5212-4ae8-9d5d-0b0866e0e23a · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.600509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deba0e3a-9981-45a0-a79d-9960ec0228f8 · outbound

This paper cites Matching networks for one shot learning.Ad- vances in neural information processing systems, 29, 2016.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Matching networks for one shot learning.Ad- vances in neural information processing systems, 29, 2016

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.666903Z

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Observation d69a029e-ff12-4a2b-bcdc-60740cbac56c · outbound

This paper cites Detr3d: 3d ob- ject detection from multi-view images via 3d-to-2d queries.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Detr3d: 3d ob- ject detection from multi-view images via 3d-to-2d queries

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.720556Z

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Unavailable: canonical work link unavailable.

Observation 7948e0bc-6c73-404b-a43b-1b0aecb57067 · outbound

This paper cites Unsupervised point cloud rep- resentation learning with deep neural networks: A survey.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Unsupervised point cloud rep- resentation learning with deep neural networks: A survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.783228Z

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Unavailable: canonical work link unavailable.

Observation d2192f11-1968-4a61-9ca2-5d0b7c9b9f4e · outbound

This paper cites Pixel-aligned recurrent queries for multi-view 3d object detection.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Pixel-aligned recurrent queries for multi-view 3d object detection

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.875009Z

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Unavailable: canonical work link unavailable.

Observation 2dd9e018-f32b-4262-b559-afd52f9f428a · outbound

This paper cites Stabilizing transformer training by pre- venting attention entropy collapse.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Stabilizing transformer training by pre- venting attention entropy collapse

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:36.946663Z

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Observation 893fbcbf-f83a-4ccc-86c2-8e95b1b158df · outbound

This paper cites Feature- proxy transformer for few-shot segmentation.Advances in neural information processing systems, 35:6575–6588,.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Feature- proxy transformer for few-shot segmentation.Advances in neural information processing systems, 35:6575–6588,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:37.011021Z

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Observation 4055cd02-5629-42c4-9d33-fae34db64b19 · outbound

This paper cites Threshold-Consistent Margin Loss for Open-World Deep Metric Learning.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Threshold-Consistent Margin Loss for Open-World Deep Metric Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:37.127175Z

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Observation 0dc3bab5-9617-46a5-958b-20c57bc9e15b · outbound

This paper cites Few-shot 3d point cloud semantic segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Few-shot 3d point cloud semantic segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:37.190156Z

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Observation 0b51bcfc-1365-42f2-aa3e-ae9193c2f2fd · outbound

This paper cites Dynamic adapter meets prompt tuning: Parameter-efficient transfer learning for point cloud analysis.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation Dynamic adapter meets prompt tuning: Parameter-efficient transfer learning for point cloud analysis

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:37.237715Z

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Observation e493f401-6835-42b5-ab7b-6b4c10461295 · outbound

This paper cites No time to train: Empowering non-parametric net- works for few-shot 3d scene segmentation.

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation No time to train: Empowering non-parametric net- works for few-shot 3d scene segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:37.289633Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.