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Paper Citation Record · LEDGER

All in One: Visual-Description-Guided Unified Point Cloud Segmentation

As of 23 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.05211.

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

pith.paper-citation-record.v1
2507.05211 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:22.621032Z

measured 60 of 60 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

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved13
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88bedf8e-fb31-42e8-b55c-9c531abf5626 · outbound

This paper cites 3d instance segmentation via enhanced spatial and semantic supervision.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d instance segmentation via enhanced spatial and semantic supervision

Reference 1

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Observation 4668977e-6148-4056-ba39-5ad1b28cac27 · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d seman- tic parsing of large-scale indoor spaces

Reference 2

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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.

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Observation c7c0555b-f96f-445b-a549-79079b335e4e · outbound

This paper cites Hierarchical aggregation for 3d instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Hierarchical aggregation for 3d instance segmentation

Reference 4

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Source-reported events for the cited work

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Observation 0ee22f4f-5a83-4b28-8d2d-658067517da0 · outbound

This paper cites Per- pixel classification is not all you need for semantic segmen- tation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Per- pixel classification is not all you need for semantic segmen- tation

Reference 6

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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.

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Observation 57eee0fb-fdaf-4320-96d0-6f83498b6ab7 · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Masked-attention mask transformer for universal image segmentation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 12da074d-6e34-4e0d-8d87-0c29c15affee · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Masked-attention mask transformer for universal image segmentation

Reference 8

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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.

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Observation 98879abe-f970-4c20-9da4-117a52646779 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Generating Long Sequences with Sparse Transformers

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 55946677-dd39-4123-ae9a-a3bceed361a9 · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a64c73bd-1550-4552-9708-c4acd8765c6b · outbound

This paper cites MMDetection3D: Open- MMLab next-generation platform for general 3D object detection.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation MMDetection3D: Open- MMLab next-generation platform for general 3D object detection

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b0605026-28b9-4ac1-847b-dedb65a3d8a2 · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 13

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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.

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Observation e04c94e1-87a1-4c67-a6af-a82b718eb5ff · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Pla: Language-driven open- vocabulary 3d scene understanding

Reference 14

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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.

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Observation 12cead23-fc31-438b-9a23-bad9c349b122 · outbound

This paper cites 3d-mpa: Multi-proposal ag- gregation for 3d semantic instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d-mpa: Multi-proposal ag- gregation for 3d semantic instance segmentation

Reference 15

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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.

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Observation da9c1a6b-bd87-43b4-95fb-0898b6b2950a · outbound

This paper cites Occuseg: Occupancy-aware 3d instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Occuseg: Occupancy-aware 3d instance segmentation

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80682a62-3b81-4f2c-93f6-ce6cc7637125 · outbound

This paper cites Dyco3d: Robust instance segmentation of 3d point clouds through dynamic convolution.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Dyco3d: Robust instance segmentation of 3d point clouds through dynamic convolution

Reference 17

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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.

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Observation 157276b1-d160-42d8-a8c6-6a26d121083e · outbound

This paper cites 3d-sis: 3d se- mantic instance segmentation of rgb-d scans.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d-sis: 3d se- mantic instance segmentation of rgb-d scans

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f3bfab1-a3c9-43ac-8017-2deebd8d4e89 · outbound

This paper cites Odin: A single model for 2d and 3d perception.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Odin: A single model for 2d and 3d perception

Reference 20

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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.

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Observation 663c3123-3175-4635-b606-6c0aa79b7456 · outbound

This paper cites Oneformer: One transformer to rule universal image segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Oneformer: One transformer to rule universal image segmentation

Reference 21

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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.

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Observation 7b418cf1-ae6c-465a-8caa-d96b45f14d48 · outbound

This paper cites Pointgroup: Dual-set point grouping for 3d instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Pointgroup: Dual-set point grouping for 3d instance segmentation

Reference 22

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

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Observation f6872828-34da-44e1-aa8f-03302306d1ac · outbound

This paper cites Pointgroup: Dual-set point grouping for 3d instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Pointgroup: Dual-set point grouping for 3d instance segmentation

Reference 23

Resolution
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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.

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Observation 85d84b08-85d7-4e70-8cd9-58e5a653eac0 · outbound

This paper cites Panoptic segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Panoptic segmentation

Reference 24

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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.

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Observation 974449ed-6548-4913-b08e-0f2abe4e0e11 · outbound

This paper cites Top-Down Beats Bottom-Up in 3D Instance Segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Top-Down Beats Bottom-Up in 3D Instance Segmentation

Reference 25

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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.

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Observation c25c037b-a5fd-4ea0-8ee3-02051d4eb161 · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Oneformer3d: One transformer for unified point cloud segmentation

Reference 26

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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.

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Observation 1d3e86a1-f734-47ec-9c16-d72c19831e3c · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Oneformer3d: One transformer for unified point cloud segmentation

Reference 27

Resolution
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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.

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Observation 787cb423-4ff4-4917-8fe3-8ea461e4fd1e · outbound

This paper cites Virtual multi-view fusion for 3d semantic segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Virtual multi-view fusion for 3d semantic segmentation

Reference 28

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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.

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Observation 9b7d122a-8c52-4dfa-8260-1604ba480fe7 · outbound

This paper cites 3d instance segmentation via multi-task met- ric learning.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d instance segmentation via multi-task met- ric learning

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a560bdc-64e4-422c-a6ca-827f25f0fc2c · outbound

This paper cites Seggcn: Effi- cient 3d point cloud segmentation with fuzzy spherical ker- nel.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Seggcn: Effi- cient 3d point cloud segmentation with fuzzy spherical ker- nel

Reference 30

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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.

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Observation 56cc4777-52de-4539-8d72-0fe9decb2508 · outbound

This paper cites Instance segmentation in 3d scenes using semantic superpoint tree networks.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Instance segmentation in 3d scenes using semantic superpoint tree networks

Reference 31

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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.

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Observation bf5eca47-2c0b-4447-b23d-4de260770b87 · outbound

This paper cites Instance segmentation in 3d scenes using semantic superpoint tree networks.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Instance segmentation in 3d scenes using semantic superpoint tree networks

Reference 32

Resolution
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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.

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Observation dbb31949-57e0-4600-a516-132fd950352e · outbound

This paper cites Meta architecture for point cloud analysis.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Meta architecture for point cloud analysis

Reference 33

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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.

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Observation 824524b5-261f-4e22-b11d-cd82e886a156 · outbound

This paper cites Learning Gaussian Instance Segmentation in Point Clouds.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Learning Gaussian Instance Segmentation in Point Clouds

Reference 34

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unresolved
no resolver link, observed 2026-08-06T19:34:19.038783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:19.038783Z digest=sha256:56a2439ba9e378de50467aff83137d3e3da08bc069bc0bd6dab05fc7765be7bf

Observation 6e9da803-ccee-4eec-ad5c-066fd5d5e58a · outbound

This paper cites Panopticfusion: Online volumetric semantic mapping at the level of stuff and things.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Panopticfusion: Online volumetric semantic mapping at the level of stuff and things

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.596812Z

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.

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Observation 2d9d82cb-33e4-4647-b111-387190c7bc61 · outbound

This paper cites Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution

Reference 36

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raw_fallback, observed 2026-08-06T19:34:25.589391Z

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.

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Observation 237670a2-c5c4-41a8-aa9e-bf5a239ba102 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Openscene: 3d scene understanding with open vocabularies

Reference 37

Resolution
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raw_fallback, observed 2026-08-06T19:34:25.581203Z

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.

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Observation 40621c8a-ed19-4903-9ecb-5a762a2fea4b · outbound

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 38

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raw_fallback, observed 2026-08-06T19:34:25.573823Z

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.

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Observation 4f841cfa-dd1f-41c7-b3a8-ffee73ba8026 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 39

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raw_fallback, observed 2026-08-06T19:34:25.565863Z

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.

source=pdf_text observed=2026-08-06T19:34:19.656624Z digest=sha256:257e3f24d814c27647988273fa2ead36102ab9e4f2844218108b336330287f00

Observation 0814bee0-e98d-44d1-a622-f47a01075cb7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Learning transferable visual models from natural language supervi- sion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.558117Z

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.

source=pdf_text observed=2026-08-06T19:34:19.737400Z digest=sha256:55476fe27011211ac03a50d91f174d9a376e31981f41a135e97c3c4b3ff3211c

Observation 56fa4df7-2425-4e02-bf0a-abd0cd0d503a · outbound

This paper cites Learn- ing multi-view aggregation in the wild for large-scale 3d se- mantic segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Learn- ing multi-view aggregation in the wild for large-scale 3d se- mantic segmentation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.534989Z

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.

source=pdf_text observed=2026-08-06T19:34:19.889170Z digest=sha256:c19ee94dbb789e8ab3a659240f53899815da5364618d939bc159885165afae31

Observation af9a6e55-c10c-41c5-acf1-f8eea4d23ccf · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Language- grounded indoor 3d semantic segmentation in the wild

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.487251Z

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.

source=pdf_text observed=2026-08-06T19:34:20.018428Z digest=sha256:22f1fa031ab9da7fad80a00162fa10519da854d2fbe6d0d75425bee1fbb7d538

Observation 33f1c519-a749-4382-bff5-5de4aa89f752 · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Language- grounded indoor 3d semantic segmentation in the wild

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.386099Z

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.

source=pdf_text observed=2026-08-06T19:34:20.129532Z digest=sha256:10efe1c432667aa9544ec949185e93c1c7b9da760c7951c9d4c176cc3d3efe1e

Observation 6c3a6c05-90f7-47b6-8649-d2a285f1fb72 · outbound

This paper cites Mask3D: Mask Trans- former for 3D Semantic Instance Segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Mask3D: Mask Trans- former for 3D Semantic Instance Segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.259558Z

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.

source=pdf_text observed=2026-08-06T19:34:20.278562Z digest=sha256:38d82dd1dffee94888c5436de1d3f2a7fd4cddc8a973718411ba268a28e89604

Observation 7edb9a8c-e552-4049-9063-a1c033412f98 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:25.122605Z

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.

source=pdf_text observed=2026-08-06T19:34:20.399423Z digest=sha256:45cf451aeee1e738bdb76aa8e3eb500eb8fc31a7d9eda0e2cb028a74a8f9220b

Observation 48cf6381-1f5f-4f9b-a37d-37e3d97bf45c · outbound

This paper cites Superpoint transformer for 3d scene instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Superpoint transformer for 3d scene instance segmentation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.982214Z

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.

source=pdf_text observed=2026-08-06T19:34:20.510375Z digest=sha256:2995f65d71f17f56ea5a7c09576941aa923ba2afcbe4d47ab66ca6dad7f803dc

Observation c1c498c3-fa83-49bc-8c6b-efc4e5fda35f · outbound

This paper cites Superpoint transformer for 3d scene instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Superpoint transformer for 3d scene instance segmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.850167Z

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.

source=pdf_text observed=2026-08-06T19:34:20.628346Z digest=sha256:fd10affc3ca71af77ee842b60f024fa8533168dbe2a74631e9baf9477ab1372e

Observation 47f71179-44c3-4fce-a40c-4c6d5278ac54 · outbound

This paper cites Neuralbf: Neural bilateral filtering for top- down instance segmentation on point clouds.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Neuralbf: Neural bilateral filtering for top- down instance segmentation on point clouds

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.773509Z

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.

source=pdf_text observed=2026-08-06T19:34:20.701850Z digest=sha256:295176a628acfccd4a44f7aaf41fdc3cd83da36d0d000697f3212beadadda54f

Observation cbbd459b-4090-423a-89f0-530563ef7c35 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Kpconv: Flexible and deformable convolution for point clouds

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.735283Z

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.

source=pdf_text observed=2026-08-06T19:34:20.844146Z digest=sha256:1c67bcd1dd807c076ffb61b83cc8d3d5b3522ab2ab18a40160ea5d298b519489

Observation 106216b0-2c3a-4a2e-9bcd-58908094e44b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation LLaMA: Open and Efficient Foundation Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:20.959658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:20.959658Z digest=sha256:a5381882ae60b22163f24c799bbd7cda49129e6c46203e1ab84bf2fc5b64c662

Observation 65eb8a5a-af86-46ce-97b6-f207339fbe8a · outbound

This paper cites Attention is all you need.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Attention is all you need

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:21.068149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:21.068149Z digest=sha256:a64ab284c8fb28898288fcb49b174addf83bf0ebd04e4c5232c79b2a79521f70

Observation 815b8e1e-bef8-43c4-b957-6df4913818d7 · outbound

This paper cites Softgroup for 3d instance segmentation on point clouds.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Softgroup for 3d instance segmentation on point clouds

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.682812Z

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.

source=pdf_text observed=2026-08-06T19:34:21.209271Z digest=sha256:b7eec5c4627878aae978ad5094acfc1c990b87479b6fabdb183f8e6195f2d25d

Observation 5619d403-4e8d-4378-98e2-61469e204334 · outbound

This paper cites Sgpn: Similarity group proposal network for 3d point cloud instance segmentation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Sgpn: Similarity group proposal network for 3d point cloud instance segmentation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:21.382818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:21.382818Z digest=sha256:7aeee1109177815a2a86899ed84d0064439fa965f99b7187fe292c2714e8ca16

Observation ab3e019b-c6e5-4896-9b01-60c293161c9e · outbound

This paper cites Scenegraphfusion: Incremen- tal 3d scene graph prediction from rgb-d sequences.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Scenegraphfusion: Incremen- tal 3d scene graph prediction from rgb-d sequences

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.647144Z

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.

source=pdf_text observed=2026-08-06T19:34:21.436788Z digest=sha256:39aa3fddf23b9a204fe4c1ce2d1b6cd99bf426a158bf823c4367bffb3cf0f805

Observation f319b7c3-dce1-44e8-9680-4133164e62e5 · outbound

This paper cites Point transformer v2: Grouped vector atten- tion and partition-based pooling.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Point transformer v2: Grouped vector atten- tion and partition-based pooling

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.544499Z

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.

source=pdf_text observed=2026-08-06T19:34:21.618080Z digest=sha256:cbc041fe9ffbf5c5977ffc8d6bed725575cf69eadfa7977c698db6934a3eacec

Observation 58d00738-4e45-4435-95c0-df75a98317a0 · outbound

This paper cites 3d instances as 1d kernels.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d instances as 1d kernels

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.469280Z

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.

source=pdf_text observed=2026-08-06T19:34:21.726761Z digest=sha256:65daad8ec155551d7d06028b0e72c7c58b1266a501b9238607f8f0b2ee94ad20

Observation 414ce6cb-6991-4299-a568-ba5c22832baa · outbound

This paper cites 3d open-vocabulary panoptic segmentation with 2d-3d vision- language distillation.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation 3d open-vocabulary panoptic segmentation with 2d-3d vision- language distillation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.395570Z

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.

source=pdf_text observed=2026-08-06T19:34:21.800751Z digest=sha256:cd3a243d4cff8d7d495fafb9dc2d1aaae4322d098e28c15265280556934717fa

Observation ca503056-25a7-4ca2-93bb-c2abe862b1b2 · outbound

This paper cites Paconv: Position adaptive convolution with dy- namic kernel assembling on point clouds.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Paconv: Position adaptive convolution with dy- namic kernel assembling on point clouds

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.265702Z

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.

source=pdf_text observed=2026-08-06T19:34:21.893837Z digest=sha256:3a1deddfe3419db925d34dc18306714039d28e57782b203b6e78f09193f8b811

Observation f00f00bb-bb08-4d26-9380-55dff6bbae74 · outbound

This paper cites Learning ob- ject bounding boxes for 3d instance segmentation on point clouds.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Learning ob- ject bounding boxes for 3d instance segmentation on point clouds

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:22.015599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:22.015599Z digest=sha256:53fbd32ccda30cf26535b2a15473df6bd2b9556c893a4975588d5f94113a9c6e

Observation e59d1293-0f10-4af1-ae3a-2238dfba4248 · outbound

This paper cites Tupper-map: Temporal and uni- fied panoptic perception for 3d metric-semantic mapping.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Tupper-map: Temporal and uni- fied panoptic perception for 3d metric-semantic mapping

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:24.138717Z

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.

source=pdf_text observed=2026-08-06T19:34:22.089452Z digest=sha256:92548005158c69093f3e8c4f0168f4aedbbea64941c4197c2afd37ea60d97fc8

Observation 002b2886-05b7-4f51-ac14-b650a41f1a46 · outbound

This paper cites Gspn: Generative shape proposal network for 3d instance segmentation in point cloud.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Gspn: Generative shape proposal network for 3d instance segmentation in point cloud

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:23.875934Z

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.

source=pdf_text observed=2026-08-06T19:34:22.256165Z digest=sha256:bfb9062fa5ac89a52579e7e832dd2eaa59f970b8b87bf5f6cf56f365f5165ff1

Observation 34d26325-756f-4e22-b786-70f0f56b4c18 · outbound

This paper cites Point cloud instance seg- mentation using probabilistic embeddings.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Point cloud instance seg- mentation using probabilistic embeddings

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:23.643360Z

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.

source=pdf_text observed=2026-08-06T19:34:22.393370Z digest=sha256:5dd20befb209ba4d2821475bb35c97211d104f700c8284663a61d771efe27b85

Observation 4e1c5f95-783e-4849-97d1-2d669d5ce01a · outbound

This paper cites Point transformer.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Point transformer

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:23.406611Z

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.

source=pdf_text observed=2026-08-06T19:34:22.462617Z digest=sha256:388ec0da685affe8e4152f175949802f123f2e9f4b79b0cc6dbe57b98bdec244

Observation 676f25e9-7397-4cba-a82d-943967be155d · outbound

This paper cites Divide and conquer: 3d point cloud instance segmentation with point-wise binarization.

All in One: Visual-Description-Guided Unified Point Cloud Segmentation Divide and conquer: 3d point cloud instance segmentation with point-wise binarization

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:23.117545Z

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.

source=pdf_text observed=2026-08-06T19:34:22.621032Z digest=sha256:11b939e4e85ad89f272bc43426c85023f204ec4c04a86c9fef4238778e2809f2

Pith citing papers

No inbound Pith citation observations are available.