Paper Citation Record · LEDGER

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2601.01456.

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

pith.paper-citation-record.v1
2601.01456 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:50:04.670827Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17b5ca0c-1d14-40ab-9238-753a727fad84 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Rethinking few-shot 3d point cloud semantic segmentation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:00.370045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61121aa-809c-44e4-a755-e5b43e9b7d83 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.034749Z

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Unavailable: canonical work link unavailable.

Observation 1f8fd3e6-a4d6-41e4-8a86-3adc4ff4e084 · outbound

This paper cites Unim-ov3d: Uni-modality open-vocabulary 3d scene understanding with fine-grained feature representation.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Unim-ov3d: Uni-modality open-vocabulary 3d scene understanding with fine-grained feature representation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.143753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc183a27-a955-4bcb-9c80-09e175c31cca · outbound

This paper cites Jacobs, Michael I.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Jacobs, Michael I

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.464313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab88fd24-4dbc-4e55-a38b-2b647c376267 · outbound

This paper cites Stratified transformer for 3d point cloud segmentation.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Stratified transformer for 3d point cloud segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.741869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7ed068-c216-4bfa-b3d0-e381a8e87491 · outbound

This paper cites Logits de- confusion with clip for few-shot learning.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Logits de- confusion with clip for few-shot learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.885165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460adc6e-c094-4301-86c2-c477226273e7 · outbound

This paper cites Point- mamba: A simple state space model for point cloud analysis.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Point- mamba: A simple state space model for point cloud analysis

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.972356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d44acb-6998-4950-936c-58e64d5c2606 · outbound

This paper cites Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.048218Z

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Unavailable: canonical work link unavailable.

Observation e3915499-5e1f-4443-968a-c58237decb9e · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Boosting few-shot 3d point cloud segmentation via query-guided enhance- ment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.162966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ad34fc-e72b-418d-8c79-dd6780c35b83 · outbound

This paper cites Openscene: 3d scene understanding with open vo- cabularies.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Openscene: 3d scene understanding with open vo- cabularies

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.287889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0dc0f9-13c4-4da8-b40d-d9d8edf69209 · outbound

This paper cites Shape-biased cnns are not always superior in out-of-distribution robustness.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Shape-biased cnns are not always superior in out-of-distribution robustness

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.416576Z

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Unavailable: canonical work link unavailable.

Observation 7732842c-73dc-4a18-9899-c3670dea8510 · outbound

This paper cites Prototypical networks for few-shot learning.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Prototypical networks for few-shot learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.511721Z

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Observation a86b13fc-2c55-44fa-8d39-06bc8ebece20 · outbound

This paper cites Point-peft: Parameter-efficient fine-tuning for 3d pre-trained models.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Point-peft: Parameter-efficient fine-tuning for 3d pre-trained models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.629303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd9cc15-2f04-4505-a2a9-99909cd215bf · outbound

This paper cites Kpconv: Flexible and deformable convo- lution for point clouds.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Kpconv: Flexible and deformable convo- lution for point clouds

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.823570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02fb97d3-5b05-4f2e-a79f-f6274322e96d · outbound

This paper cites Dynamic graph cnn for learning on point clouds.ACM Transactions on Graphics (tog), 38(5):1–12,.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Dynamic graph cnn for learning on point clouds.ACM Transactions on Graphics (tog), 38(5):1–12,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.061864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1a3e95-8d25-4c59-b277-d4a9148ffb79 · outbound

This paper cites A survey of label-efficient deep learning for 3d point clouds.IEEE Transactions on Pattern Analysis and Machine In- telligence, 46(12):9139–9160,.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration A survey of label-efficient deep learning for 3d point clouds.IEEE Transactions on Pattern Analysis and Machine In- telligence, 46(12):9139–9160,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.156016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372ecdde-b4a4-4845-a8ce-7a2448ef5afb · outbound

This paper cites Aggregation and purification: dual enhance- ment network for point cloud few-shot segmentation.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Aggregation and purification: dual enhance- ment network for point cloud few-shot segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.280766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beba5c7d-510a-4278-86cd-eec025b77620 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Pointllm: Empowering large language models to understand point clouds

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.367027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf02317-1a4e-4833-aea1-6233409f85ee · outbound

This paper cites Ulip: Learning a unified represen- tation of language, images, and point clouds for 3d understand- ing.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Ulip: Learning a unified represen- tation of language, images, and point clouds for 3d understand- ing

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.528621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9314bc-960b-418f-bcd7-984320ef8eaf · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Ulip-2: Towards scalable multimodal pre-training for 3d understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.658229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d320cd5-118d-445b-a6f7-ec1fa4f736ab · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.814644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f47759-6e97-426b-9802-adc6ee8561db · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:03.959495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7544e131-a3de-4a4d-b1e7-73575e1ef2c2 · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot clas- sification.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Tip-adapter: Training-free adaption of clip for few-shot clas- sification

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:04.072502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81cb4eef-7c22-473e-8e6f-3a98b77f79cf · outbound

This paper cites Few-shot 3d point cloud semantic seg- mentation via stratified class-specific attention based transformer network.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Few-shot 3d point cloud semantic seg- mentation via stratified class-specific attention based transformer network

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:04.131913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c4f5977-57aa-44c7-9d81-cc0ce4300719 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Few-shot 3d point cloud semantic segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:04.312505Z

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Unavailable: canonical work link unavailable.

Observation de156d58-d56c-496c-b7ad-71e60e0c56cd · outbound

This paper cites Uni3d: Ex- ploring unified 3d representation at scale.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Uni3d: Ex- ploring unified 3d representation at scale

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:04.522613Z

Source-reported events for the cited work

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Observation 9bcd50fd-4ee0-4741-81aa-24f31c33b710 · outbound

This paper cites Not all fea- tures matter: Enhancing few-shot clip with adaptive prior refine- ment.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Not all fea- tures matter: Enhancing few-shot clip with adaptive prior refine- ment

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:04.670827Z

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Unavailable: canonical work link unavailable.

Observation 01c7f409-423b-4951-b2ed-fef5f31eb56f · outbound

This paper cites Open-vocabulary 3d semantic segmentation with foundation models.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Open-vocabulary 3d semantic segmentation with foundation models

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.584334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7f6316e-6187-4123-a425-cc40d24ecd25 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Clip2scene: Towards label-efficient 3d scene understanding by clip

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:00.657436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99465079-72b0-4ce4-825b-a68efa02a943 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Pla: Language-driven open-vocabulary 3d scene understanding

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:00.852038Z

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Unavailable: canonical work link unavailable.

Observation 14edcae7-4542-4fa6-b06a-b6fdc937131a · outbound

This paper cites A closer look at the robustness of contrastive language-image pre- training (clip).

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration A closer look at the robustness of contrastive language-image pre- training (clip)

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:02.926181Z

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Observation b25b786a-1724-4247-b049-847528fecad9 · outbound

This paper cites Decoupled knowledge distillation.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Decoupled knowledge distillation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:04.427457Z

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Observation b262e671-c440-4348-ade1-0edad4e68506 · outbound

This paper cites 3d-llm: Injecting the 3d world into large language models.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration 3d-llm: Injecting the 3d world into large language models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.367437Z

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Observation a2a0aaaf-59d6-439d-97cd-a3055a0922a6 · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:00.723912Z

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Unavailable: canonical work link unavailable.

Observation 6085099d-af73-41a7-87ea-0f569fd88a53 · outbound

This paper cites Cost aggregation with 4d convolutional swin transformer for few-shot segmentation.

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration Cost aggregation with 4d convolutional swin transformer for few-shot segmentation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:01.229830Z

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Unavailable: canonical work link unavailable.

Observation 1ce15c7b-22ab-44b3-b03f-671b396d583c · outbound

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

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration 3d semantic parsing of large-scale indoor spaces

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T12:50:00.560721Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.