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Paper Citation Record · LEDGER

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2502.00173.

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

pith.paper-citation-record.v1
2502.00173 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:01:08.390951Z

measured 54 of 54 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:38:23.743390Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:37:25.787014Z

Reference resolution

52 of 52 outbound references displayed

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  • verified fuzzy33
  • unresolved19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da4843c3-46cd-4466-b01c-0d2e818c36c8 · outbound

This paper cites Emerg- ing Properties in Self-Supervised Vision Transformers.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Emerg- ing Properties in Self-Supervised Vision Transformers

Reference 1

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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.

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Observation 06318eab-526d-4e31-a799-3b1f4d9f9428 · outbound

This paper cites Segment Any 3D Gaussians.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Segment Any 3D Gaussians

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7994f187-747c-4257-ab93-567fdd2fa994 · outbound

This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Scanrefer: 3d object localization in rgb-d scans using natural language

Reference 3

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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.

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Observation dcd0f721-07a5-458f-a0a4-7c5f4a94ddcd · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas A.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Chang, Manolis Savva, Maciej Hal- ber, Thomas A

Reference 4

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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.

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Observation 2ff9f055-f0e7-4e93-8ad7-085b112af5b6 · outbound

This paper cites Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2751991-2954-49b4-88d2-4554e5fbf6a7 · outbound

This paper cites Brandt, Axel Feld- mann, Zhoutong Zhang, and William T.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Brandt, Axel Feld- mann, Zhoutong Zhang, and William T

Reference 6

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Source-reported events for the cited work

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

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Observation aa5e5b1d-6a6b-4789-a07f-2aa239b08955 · outbound

This paper cites Learning 3d semantic segmentation with only 2d image supervision.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Learning 3d semantic segmentation with only 2d image supervision

Reference 7

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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.

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Observation a5f7c343-0056-4606-a898-83e06963b43f · outbound

This paper cites Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning

Reference 8

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Source-reported events for the cited work

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

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Observation c296c7b8-32bd-4ec4-9757-6abd9dba9e50 · outbound

This paper cites EgoLifter: Open-world 3D Segmentation for Egocentric Perception.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation EgoLifter: Open-world 3D Segmentation for Egocentric Perception

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c555eb86-62bb-4e46-9540-3da1eaef356a · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 7d4923be-e0ce-461f-a34c-12ba25544543 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 11

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verified fuzzy
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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.

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Observation a182a80f-8b4d-4bc7-a291-6ad571b73e75 · outbound

This paper cites 2d gaussian splatting for geometrically accu- rate radiance fields.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation 2d gaussian splatting for geometrically accu- rate radiance fields

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:09.021081Z

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.

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Observation 3f12409c-2f25-4403-bb6e-bbf3966044bf · outbound

This paper cites Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB- D Cameras.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB- D Cameras

Reference 13

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Source-reported events for the cited work

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

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Observation 6c7d6bdf-b175-40e4-80d8-4cf1ebde1002 · outbound

This paper cites Tenenbaum, Celso Miguel de Melo, Madhava Krishna, Liam Paull, Florian Shkurti, and Antonio Torralba.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Tenenbaum, Celso Miguel de Melo, Madhava Krishna, Liam Paull, Florian Shkurti, and Antonio Torralba

Reference 14

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verified fuzzy
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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.

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Observation fc2b4bbd-fd49-4144-b2d5-4a95e91ca3a7 · outbound

This paper cites Segment Any 4D Gaussians.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Segment Any 4D Gaussians

Reference 15

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no resolver link, observed 2026-08-09T20:01:08.227915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2207ddc1-3768-4803-a9f2-3849d08ba668 · outbound

This paper cites SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM

Reference 16

Resolution
verified fuzzy
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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.

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Observation b9a4a141-e753-462e-8cfd-ea5570ec3ed6 · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 17

Resolution
verified fuzzy
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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.

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Observation 70e6b51a-6c40-47f9-bdbd-4d9e7075c672 · outbound

This paper cites Lerf: Language embedded radiance fields.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Lerf: Language embedded radiance fields

Reference 18

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Unavailable: canonical work link unavailable.

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Observation d0984157-ed47-4545-a906-91db44d1d0ec · outbound

This paper cites Garfield: Group anything with radiance fields.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Garfield: Group anything with radiance fields

Reference 19

Resolution
verified fuzzy
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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.

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Observation e8644ab7-8dc0-469d-8ecc-ed29849cb264 · outbound

This paper cites Segment anything.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Segment anything

Reference 20

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verified fuzzy
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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.

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Observation c504eaf4-f39d-4bca-8d9b-6196f2af1b76 · outbound

This paper cites Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space

Reference 21

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Observation ebe94624-f264-402c-95e5-a1f170f25093 · outbound

This paper cites Weinberger, Serge Belongie, Vladlen Koltun, and Rene Ranftl.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Weinberger, Serge Belongie, Vladlen Koltun, and Rene Ranftl

Reference 22

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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.

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Observation 70455adc-54b8-41dc-8a9a-23c2ddfdabf6 · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Open-vocabulary semantic segmentation with mask-adapted clip

Reference 23

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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.

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Observation e4b60206-050c-49ce-ad1b-42f65614d6c7 · outbound

This paper cites Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching

Reference 24

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Source-reported events for the cited work

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

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Observation e493ce43-7282-49f2-bc14-7c56a21920b2 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 25

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Source-reported events for the cited work

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

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Observation 278c0211-12c3-4e61-84d1-9b50947a1908 · outbound

This paper cites Weakly supervised 3d open- vocabulary segmentation.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Weakly supervised 3d open- vocabulary segmentation

Reference 26

Resolution
verified fuzzy
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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.

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Observation 9b74cd69-9c70-496d-b2f7-d0ec1c835b88 · outbound

This paper cites Humangaus- sian: Text-driven 3d human generation with gaussian splat- ting.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Humangaus- sian: Text-driven 3d human generation with gaussian splat- ting

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 809bd33f-207b-413b-8ed0-91da0d2b1c2b · outbound

This paper cites Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.829929Z

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.

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Observation bffe2164-bbd9-4cd1-8839-32dc00fac0ca · outbound

This paper cites Gaga: Group Any Gaussians via 3D-aware Memory Bank.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Gaga: Group Any Gaussians via 3D-aware Memory Bank

Reference 29

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no resolver link, observed 2026-08-09T20:01:08.290838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.290838Z digest=sha256:539e788eb00e37ddaafb21f8dff4f8d897044177f0339d84d2cc00c44de70b0e

Observation d3befcfe-81a9-4c15-8055-dcf17bb34a0f · outbound

This paper cites Gaussian splatting slam.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Gaussian splatting slam

Reference 30

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no resolver link, observed 2026-08-09T20:01:08.295411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.295411Z digest=sha256:44f08feb3419b7c3053a51125f3d68a40fb555a1ab45513194dcdf09a20c63c0

Observation 2998224a-e7ab-4944-aaf0-7960e76aa0e4 · outbound

This paper cites hdb- scan: Hierarchical density based clustering.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation hdb- scan: Hierarchical density based clustering

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.805951Z

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.

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Observation b34e0537-2a6e-44f0-b9cb-0414b0d8fb1f · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.792025Z

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.

source=pdf_text observed=2026-08-09T20:01:08.303966Z digest=sha256:bcdd31a63d8926d1c311889e7938683e92c4baa42fcf965a37178efb495f47d4

Observation 939c4eac-3ad9-477e-9ff2-e6384fdcf4c3 · outbound

This paper cites Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.308178Z digest=sha256:b7e64a5418e10707ef6abec2891d703af1434ea0eb5523b1d685d1bc55c27094

Observation 43b1d2ba-2148-42f3-95ca-19ec0bf013a9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.312581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.312581Z digest=sha256:bbfc007e9f09bce27e853cd96fa47b15f04c94d4479eb8a891004e270c563966

Observation 88ca2e45-f345-496f-8597-542b69e04c95 · outbound

This paper cites OpenScene: 3D Scene Understanding with Open V ocabular- ies.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation OpenScene: 3D Scene Understanding with Open V ocabular- ies

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.777185Z

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.

source=pdf_text observed=2026-08-09T20:01:08.316928Z digest=sha256:cb23d0f8a076c732deb69353cacc7af43a686d30ab4f219a6f1e32f3872ffb05

Observation 5af4578c-a3ae-4d9b-98c1-e514006b6070 · outbound

This paper cites Langsplat: 3d language gaussian splatting.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Langsplat: 3d language gaussian splatting

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.761187Z

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.

source=pdf_text observed=2026-08-09T20:01:08.321133Z digest=sha256:eaec4fbeaf3c8f63ac487da4ecbbeddae2c5ae93620db2a33803fb90a143b6a3

Observation 766ce7ed-638b-48c0-9697-03931c48e854 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Learning transferable visual models from natural language supervision

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.746828Z

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.

source=pdf_text observed=2026-08-09T20:01:08.325497Z digest=sha256:28b3291f9059bd1394160a9ec3b6972527d4b918e8b1fa4126985be745207f6a

Observation 8abe107d-86a1-4813-9a60-29461688923c · outbound

This paper cites Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.732217Z

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.

source=pdf_text observed=2026-08-09T20:01:08.330002Z digest=sha256:a90d27c93463b05181db83d955ab428d5a27b5fe97139f1404d88748a80cde47

Observation 8fbbeb09-2091-46b7-bf6e-8f2860e27bd9 · outbound

This paper cites Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.334426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.334426Z digest=sha256:cd378624b2fe4e581e8e0c337598c94343d03df21aaaecfdae563566eb26300d

Observation ee574808-aab2-43bb-a5c1-bd22975b185e · outbound

This paper cites Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.717170Z

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.

source=pdf_text observed=2026-08-09T20:01:08.338927Z digest=sha256:bc6745f59f8d3a2c99049cdb9bb42120fa7ae198ede9401da0dfe0bfcf12deab

Observation 335fb9cf-52dd-4adf-908a-843dc6b4de33 · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.702412Z

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.

source=pdf_text observed=2026-08-09T20:01:08.343197Z digest=sha256:0d3d6478c6cbcda65379824440f492c08f9e3794f2c87b1823e1dfaeda1aaeb2

Observation 13ad84cd-89ed-4f1c-a98c-fd669b5e3788 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Image quality assessment: from error visibility to structural similarity

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.347376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.347376Z digest=sha256:97b767dcc9718aae0edb6df006610753bc14554c4f5a73881d93f4288f0ef131

Observation ca5b5a78-001d-4b83-9cea-60f287ab9ed1 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation 4d gaussian splatting for real-time dynamic scene rendering

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.351631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.351631Z digest=sha256:5aa74b35c2c63b32d4a42e243dc2aac4e735b9b59959e3b52f1ce419c60b82ef

Observation d62dffb8-980e-4a33-a2f6-60db419566cb · outbound

This paper cites Gs-slam: Dense visual slam with 3d gaussian splatting.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Gs-slam: Dense visual slam with 3d gaussian splatting

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.355858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.355858Z digest=sha256:c1de6de8fb301fda40e222fa43babb46fdf79dfda476039b20fd9f415e9e377d

Observation 9e8d1a88-e99b-41ed-80ce-5f004f4bc636 · outbound

This paper cites Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.360383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.360383Z digest=sha256:6415bc50d3d752f6773b5f3cd84e0e5989949faabe4b9e50c62d33ddc76c2712

Observation 03345b9b-fc2e-4c85-a7cb-e3ee373033be · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Gaussian grouping: Segment and edit anything in 3d scenes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.647502Z

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.

source=pdf_text observed=2026-08-09T20:01:08.364627Z digest=sha256:b8d9cd7d78dfde1cf10a02f7f3320e01277f65651ad0dae9deeeb9c9b667512f

Observation 66d793bd-a7fc-4513-89e8-5485d82aaa8c · outbound

This paper cites Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.632532Z

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.

source=pdf_text observed=2026-08-09T20:01:08.368848Z digest=sha256:859f56d940a36f0117d479618e8eb63b2622def1b249804597f51ffba0bedc19

Observation 8ffac64f-dbc5-44a3-af65-e422c5ec758a · outbound

This paper cites RaDe-GS: Rasterizing Depth in Gaussian Splatting.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation RaDe-GS: Rasterizing Depth in Gaussian Splatting

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.373050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.373050Z digest=sha256:1062bab78a733390be7d410d49302529a45ba041e69a688807edd2f633b8a877

Observation 3420edd6-42d0-460f-90f5-b8e60786282b · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.617534Z

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.

source=pdf_text observed=2026-08-09T20:01:08.377912Z digest=sha256:ec68eea50cc730735cbb785123baca4e55c82e14e137b9a887d6a89303f96949

Observation e4db51c4-8f95-4955-9dde-5332e99259fa · outbound

This paper cites Fast Segment Anything.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Fast Segment Anything

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.382231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.382231Z digest=sha256:fa3c38b0a39214d4b8bfa2848c22f558237e3b8fda09df670f710c377676996a

Observation 455d2ddf-b02c-4e39-95ec-cbbba08bda62 · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.602308Z

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.

source=pdf_text observed=2026-08-09T20:01:08.386890Z digest=sha256:140827fbfb268e8e98fadd90b04eb407e27486209ec792885e5adca07ceb6c6f

Observation 518616a5-0081-43c2-b573-c03a29407925 · outbound

This paper cites EW A volume splatting.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation EW A volume splatting

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T20:01:08.586196Z

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.

source=pdf_text observed=2026-08-09T20:01:08.390951Z digest=sha256:3967758d62d62a4d6c5f945338b3d04e179afce69c4bc59e51e2e3d9cded8a8c

Pith citing papers

Observation 17a42ca3-8dfa-4081-b428-bf6748837aec · inbound

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting cites this paper.

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:23.743390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:38:23.743390Z digest=sha256:e2affd7e174681e690e19938cb8339a3c2cebc91fc2300e8aff8de50f1074efc

Observation 3c74c196-0904-4d51-93ea-a6f98f6f0d6a · inbound

The ALMA-QUARKS Survey: III. Clump-to-core fragmentation and search for high-mass starless cores cites this paper.

The ALMA-QUARKS Survey: III. Clump-to-core fragmentation and search for high-mass starless cores Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:37:25.792365Z

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.

source=pdf_text observed=2026-08-06T04:37:25.200027Z digest=sha256:5048a89ec71815967818ff418c24194f48746148d5d844097445910633de9f5f