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Paper Citation Record · LEDGER

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.10972.

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

pith.paper-citation-record.v1
2412.10972 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:29:09.677390Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6e311d4-a7e8-4e2e-9fe0-1a18f8788e80 · outbound

This paper cites an unresolved cited work.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Unresolved cited work

Reference 1

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Observation 2663caab-089c-48aa-8506-14f472385bbb · outbound

This paper cites A survey of algorithms for the generalized assignment problem.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting A survey of algorithms for the generalized assignment problem

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0f32a346-f98c-4468-bcf4-4291bc499e73 · outbound

This paper cites Segment Any 3D Gaussians.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Segment Any 3D Gaussians

Reference 3

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Observation 461f91db-2be0-4d1a-9512-6e2012c6952f · outbound

This paper cites Splat-nav: Safe real-time robot navigation in gaussian splatting maps, 2024.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Splat-nav: Safe real-time robot navigation in gaussian splatting maps, 2024

Reference 4

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7d888324-82a2-41aa-b9dd-d42d19ec4ee1 · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Masked-attention mask transformer for universal image segmentation

Reference 5

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5cd22c7a-7d67-4949-9638-304498318b1b · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 6

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Observation f47a8b2a-f6f8-4ca1-98e6-bf32d8bf9fb0 · outbound

This paper cites On implementing 2d rectangular assign- ment algorithms.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting On implementing 2d rectangular assign- ment algorithms

Reference 7

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0f6e4148-a9e2-4a83-bc68-49c74d403784 · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 8

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source=pdf_text observed=2026-08-11T15:29:09.574585Z digest=sha256:1e068086661e8371f67f52cd13bd7b6e4c0eeed7bba59158652b2289c8e42688

Observation 22cda759-3c8e-4d55-910b-0ae1dec82550 · outbound

This paper cites De- coupling zero-shot semantic segmentation.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting De- coupling zero-shot semantic segmentation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0bd4e438-5f0c-433e-9f5f-bbdbc32007ce · outbound

This paper cites OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views

Reference 10

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f91b4e83-edee-4d77-b4dd-3dad6994630d · outbound

This paper cites Comparing sets of patterns with the jaccard index.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Comparing sets of patterns with the jaccard index

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cce59283-291a-4f54-a1d2-abcfba746b67 · outbound

This paper cites Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation da07307a-64fd-44a9-b111-ed729799c4f0 · outbound

This paper cites Scal- ing open-vocabulary image segmentation with image-level labels.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Scal- ing open-vocabulary image segmentation with image-level labels

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 455cbb3c-0b2c-4a31-952e-d7e507f5d7d2 · outbound

This paper cites Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 7e756f1e-3c53-44af-b90f-ba0cf5040ba0 · outbound

This paper cites Open-vocabulary semantic segmentation with decou- pled one-pass network.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Open-vocabulary semantic segmentation with decou- pled one-pass network

Reference 15

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 25b982ba-3165-42ec-bcf7-e658d7f6a3d9 · outbound

This paper cites Sagd: Boundary- enhanced segment anything in 3d gaussian via gaussian de- composition, 2024.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Sagd: Boundary- enhanced segment anything in 3d gaussian via gaussian de- composition, 2024

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e10edb4f-9e05-4398-adfe-23a29a89a7cb · outbound

This paper cites Segment3d: Learning fine-grained class-agnostic 3d segmentation without manual labels.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Segment3d: Learning fine-grained class-agnostic 3d segmentation without manual labels

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 17af6636-4d70-472b-816f-bbe85f95e8f1 · outbound

This paper cites A shortest augmenting path algorithm for dense and sparse linear assignment problems.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting A shortest augmenting path algorithm for dense and sparse linear assignment problems

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dc23e9c9-82fa-4592-abb6-0acdcbe320f9 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 19

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Observation 74d6c151-c06b-465c-84f7-49f9ae2eb82f · outbound

This paper cites Lerf: Language embedded radiance fields.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Lerf: Language embedded radiance fields

Reference 20

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Observation f2440d7e-11db-40d8-9652-17a34faa8f9e · outbound

This paper cites The hungarian method for the assignment problem.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting The hungarian method for the assignment problem

Reference 21

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Observation 486a6477-7626-42de-903c-cce6ae7ffe7c · outbound

This paper cites Gaussnav: Gaussian splatting for visual navigation, 2024.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Gaussnav: Gaussian splatting for visual navigation, 2024

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f2a9d26f-5ff0-46e2-9407-0db899b8f367 · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Open-vocabulary semantic segmentation with mask-adapted clip

Reference 23

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9bdce88a-ba9d-4f0c-ae85-168e613a736a · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 24

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source=pdf_text observed=2026-08-11T15:29:09.637802Z digest=sha256:fa8a35520eec7b894b7a6aa49d2f71c06b643f3d8d79298e6bca5f8ceb23d795

Observation 5853ba46-a4d0-419e-b9fa-a6731dec8c78 · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Openscene: 3d scene understanding with open vocabularies

Reference 25

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 07c39d0b-ffef-4e52-98ff-d0846bfbc8ca · outbound

This paper cites Langsplat: 3d language gaussian splatting.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Langsplat: 3d language gaussian splatting

Reference 26

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raw_fallback, observed 2026-08-11T15:29:09.832554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 49e0447d-31e5-43c3-99ca-2a8a22d4e1e0 · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Learning transferable visual models from natural language supervi- sion

Reference 27

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Observation e1b4632e-bba9-4912-8b06-2ea11b2f79c0 · outbound

This paper cites Unscene3d: Unsupervised 3d instance segmentation for indoor scenes.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Unscene3d: Unsupervised 3d instance segmentation for indoor scenes

Reference 28

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raw_fallback, observed 2026-08-11T15:29:09.810992Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ed41e31b-93a1-4bf6-8245-5afeb2f59e60 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 29

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source=pdf_text observed=2026-08-11T15:29:09.656635Z digest=sha256:53c83a874e268eee93f092f94eb50a4c010d239d1dd24ed3bdd75bb222908bd3

Observation 3ff251aa-7818-42f1-8c6c-e8d1a6e0333b · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann

Reference 30

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raw_fallback, observed 2026-08-11T15:29:09.797400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e3564de7-a471-480f-a5a0-489c7509f3c1 · outbound

This paper cites SAM3D: Segment Anything in 3D Scenes.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting SAM3D: Segment Anything in 3D Scenes

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0c1383d6-b487-4560-b3c1-6e45eecb5f5a · outbound

This paper cites Sai3d: Segment any instance in 3d scenes.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Sai3d: Segment any instance in 3d scenes

Reference 32

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raw_fallback, observed 2026-08-11T15:29:09.785111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dc2bb908-a5da-497c-be67-a91fc8c8632f · outbound

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

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 336e128a-8629-42dd-a424-31f2a2a97458 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 34

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raw_fallback, observed 2026-08-11T15:29:09.764107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.