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Paper Citation Record · LEDGER

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.21416.

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

pith.paper-citation-record.v1
2607.21416 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:36:08.885348Z

measured 34 of 34 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation 54a2d1a4-e85d-4aa8-a6ad-c2807a2a0789 · outbound

This paper cites ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras,

Reference 1

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source=pdf_text observed=2026-08-01T07:36:03.866888Z digest=sha256:feb54ed7a86cff09d672e1fbbbc023b6715983dc4a50d181c16239f26b874b24

Observation a9c5592b-6ba4-4ca5-8fc0-8b78904c0b47 · outbound

This paper cites KinectFusion: Real-Time Dense Surface Mapping and Tracking,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition KinectFusion: Real-Time Dense Surface Mapping and Tracking,

Reference 2

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source=pdf_text observed=2026-08-01T07:36:04.054463Z digest=sha256:123f1b427d79a0b38d053f083e0897442a2648ada8d416bcc876e94f7649ca54

Observation 6a7d8189-e6e6-4f01-ba2b-ad39b0d11521 · outbound

This paper cites NICE-SLAM: Neural Implicit Scalable Encoding for SLAM,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition NICE-SLAM: Neural Implicit Scalable Encoding for SLAM,

Reference 3

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Observation 1cef4447-49c8-48f7-b7ed-dbae11904849 · outbound

This paper cites Point-SLAM: Dense Neural Point Cloud-based SLAM,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Point-SLAM: Dense Neural Point Cloud-based SLAM,

Reference 4

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Observation 4b4d2114-2293-4142-ad55-8800ea398d02 · outbound

This paper cites Gaussian Splatting SLAM,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Gaussian Splatting SLAM,

Reference 5

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source=pdf_text observed=2026-08-01T07:36:04.429819Z digest=sha256:b5aeade9a2a1429e1894526b4148b51fddcd189776da8dbdcb0a112c37755b73

Observation 87599df6-bb8b-4b91-90c5-e8a7c227b454 · outbound

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

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM,

Reference 6

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source=pdf_text observed=2026-08-01T07:36:04.551795Z digest=sha256:b3c24948162ce5c5b52530e433d4cc68d013e2c37d2c989a69ea67953e0db69a

Observation 3bd50ef3-b0bc-4483-a599-845fec359bc9 · outbound

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

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras,

Reference 7

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source=pdf_text observed=2026-08-01T07:36:04.729169Z digest=sha256:2ee3a2c9553669c00748694b5889d7328394d305795070d6e4680960199de06d

Observation 22ca0637-de1b-4546-9cf2-28de40a230f4 · outbound

This paper cites LSD-SLAM: Large-Scale Direct Monocular SLAM,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition LSD-SLAM: Large-Scale Direct Monocular SLAM,

Reference 8

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source=pdf_text observed=2026-08-01T07:36:04.889446Z digest=sha256:9418ce46facfec8db8cec8c07141131dec9fd28c27f0eb7a5e7070c893827051

Observation 30a6907e-b596-4927-ae11-5d196f4b1c1e · outbound

This paper cites Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting

Reference 9

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source=pdf_text observed=2026-08-01T07:36:05.026152Z digest=sha256:8e3eeeed5796f72d9eae9ce9d8f7d29bdf38baaae68442cbcf2307c44442278e

Observation 109a1a3e-6f3a-4930-8c26-08bd78b41cfd · outbound

This paper cites Liberated-GS: 3D Gaussian Splatting Independent from SfM Point Clouds,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Liberated-GS: 3D Gaussian Splatting Independent from SfM Point Clouds,

Reference 10

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source=pdf_text observed=2026-08-01T07:36:05.162407Z digest=sha256:446ac55dde7cfcf3e6b2e463a1b00e6915f53f4603d02eda16798922e6b285d8

Observation a9bc3ba7-790b-4734-afac-468ad06069c5 · outbound

This paper cites Scaffold-GS: Structured 3D Gaussians for View-Adaptive Render- ing,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Scaffold-GS: Structured 3D Gaussians for View-Adaptive Render- ing,

Reference 11

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source=pdf_text observed=2026-08-01T07:36:05.226929Z digest=sha256:441f3ab07fbe0b8918f7852bdda09f855a3bfcbad56d34c6db31d0257105737f

Observation d06bba16-1996-4225-a5ee-a6525220e6e1 · outbound

This paper cites ElasticFusion: Dense SLAM Without A Pose Graph,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition ElasticFusion: Dense SLAM Without A Pose Graph,

Reference 12

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source=pdf_text observed=2026-08-01T07:36:05.274988Z digest=sha256:234b963fcb04553427094a640b72ade315b05a704deb9a7954e8b2a8fc4de2e5

Observation 8fa3b153-e38a-4265-b33f-eeb65a252bf8 · outbound

This paper cites Kintinuous: Spatially Extended KinectFusion,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Kintinuous: Spatially Extended KinectFusion,

Reference 13

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source=pdf_text observed=2026-08-01T07:36:05.361133Z digest=sha256:7cd21ef934688bcb98329efc3ccee3a9dcb4f038d4ff0693a5f5f17db69ee010

Observation cfd51193-d2ce-4a2c-ab9b-265843b3dfd0 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,

Reference 14

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source=pdf_text observed=2026-08-01T07:36:05.427591Z digest=sha256:732ec6d3efad80eb50dc859ea1210a87b8e439f23c3420a8a2145e8e88608073

Observation 357b2a61-210c-4bf5-9d5e-6833fc29948c · outbound

This paper cites iMAP: Implicit Mapping and Positioning in Real-Time,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition iMAP: Implicit Mapping and Positioning in Real-Time,

Reference 15

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source=pdf_text observed=2026-08-01T07:36:05.588112Z digest=sha256:db5580053ee56a5023f0925ba28db92529c5846e77779e45249ff1b1382e155b

Observation dac0859c-45cf-4312-aa1f-60dad97960ea · outbound

This paper cites PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment,

Reference 16

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source=pdf_text observed=2026-08-01T07:36:05.720871Z digest=sha256:46dc36d9859a328cc16cb9f628fada133ab11c09698190b0781b0eb0dc81346d

Observation 9b2073ff-ceac-4708-9086-b9d433778c60 · outbound

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

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition 3D Gaussian Splatting for Real-Time Radiance Field Rendering,

Reference 17

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source=pdf_text observed=2026-08-01T07:36:05.884693Z digest=sha256:8b1783d308fccbb09da9fe22d6e864e67044c79376c9f8c4be83e0e8a0b89d61

Observation d99e65b1-672c-438d-90aa-c5ad664609d7 · outbound

This paper cites A Survey on 3D Gaussian Splatting.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition A Survey on 3D Gaussian Splatting

Reference 18

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source=pdf_text observed=2026-08-01T07:36:05.918730Z digest=sha256:4b8a1ab68318da2ccdd8c4acce0d1ecbeda86174a71b31b8d47bea2ac92bcd56

Observation 7ff7e885-73b0-4cee-b8e1-b5208f54465b · outbound

This paper cites 2D Gaussian Splatting for Geometrically Accurate Radiance Fields,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition 2D Gaussian Splatting for Geometrically Accurate Radiance Fields,

Reference 19

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source=pdf_text observed=2026-08-01T07:36:06.043134Z digest=sha256:67fbad66306620256dca257dd8ffcb4e5348b0200e8b38f1e74a3037519da53a

Observation 532fd9fb-6099-43da-bac8-6fa78f345beb · outbound

This paper cites Globally Consistent RGB-D SLAM with 2D Gaussian Splatting,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Globally Consistent RGB-D SLAM with 2D Gaussian Splatting,

Reference 20

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source=pdf_text observed=2026-08-01T07:36:06.161219Z digest=sha256:90e95fd8bb9330640293d4709941fa1b98ea8f97d0b159df984cb6845155866e

Observation c82561d7-9250-40e3-b2d0-d3de1dc1389f · outbound

This paper cites VINGS- Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition VINGS- Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes,

Reference 21

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source=pdf_text observed=2026-08-01T07:36:06.346291Z digest=sha256:79e63fdc846b817570748c77a3883cc91afdf7b0b27a96f149727cf92f64c5e0

Observation 23a86b85-963b-4ff0-a869-e615477f0ee9 · outbound

This paper cites Splat- SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Splat- SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians,

Reference 22

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source=pdf_text observed=2026-08-01T07:36:06.583801Z digest=sha256:a6b94ba615e8d4b7eafdd7221b99de52f00006f9ed4da24b0ef42c67664a676d

Observation e6ded3dc-d17d-4a13-af1f-62fb7282919b · outbound

This paper cites RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting,

Reference 23

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source=pdf_text observed=2026-08-01T07:36:06.812193Z digest=sha256:7e1a5e3a1d8f23d5b0336fe53ef75af966c753a65ee2387bff48821813f441eb

Observation f3de829f-f1f2-4fd0-a2dd-d2a73e826e0e · outbound

This paper cites GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion,

Reference 24

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source=pdf_text observed=2026-08-01T07:36:07.021646Z digest=sha256:6c1748b6f76d3452f8adf8f2a371e1eb9a165e35224fd3b06f2f18ace087c937

Observation 4d00019a-3f8a-429e-8382-90ba45a16760 · outbound

This paper cites VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences

Reference 25

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source=pdf_text observed=2026-08-01T07:36:07.188485Z digest=sha256:efab79334b52c002dd9bb7c357ab72d47f6f3217f2b5741616ffb2ff19269154

Observation b531a5e7-a14a-4820-8d2b-5d279d3238ee · outbound

This paper cites GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats,

Reference 26

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source=pdf_text observed=2026-08-01T07:36:07.358084Z digest=sha256:88733e80dd05816193211854c613013637109fafb3e09bab9ade598206a20c34

Observation 6cdfa34b-0de1-4ad8-bd41-ab9dfca45273 · outbound

This paper cites DeRF: Decomposed Radiance Fields,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition DeRF: Decomposed Radiance Fields,

Reference 27

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source=pdf_text observed=2026-08-01T07:36:07.539886Z digest=sha256:c65192fc96b92a7f5278270ffad83eb195fa93bd48a774128a9059ab29c81ea4

Observation 881699b3-6341-4429-8bc8-44fed8ec430e · outbound

This paper cites Block-NeRF: Scalable Large Scene Neural View Synthesis,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Block-NeRF: Scalable Large Scene Neural View Synthesis,

Reference 28

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source=pdf_text observed=2026-08-01T07:36:07.708169Z digest=sha256:3ca71d4eb617612d3ef82e7a8a146fbfcc3e3eae6c73b0f582207cdec95b2b2a

Observation 8bbbf1c4-c658-46b4-86a4-d19121bef525 · outbound

This paper cites LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation,

Reference 29

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source=pdf_text observed=2026-08-01T07:36:07.905637Z digest=sha256:ea892433c9d6d41a09e470b6dfe2af7ada74d7be4a846d55f7db482116ad8af2

Observation 9c26494d-230e-4e9a-8381-d8e722851084 · outbound

This paper cites VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM,

Reference 30

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source=pdf_text observed=2026-08-01T07:36:08.147546Z digest=sha256:19145c0b822c3f444e2288b20fd18ff742be071bedcfd176b5e61a3c0aa24472

Observation 94de44e9-72a8-428a-99a4-43bce3ec7cc4 · outbound

This paper cites SEGS-SLAM: Structure-enhanced 3D Gaussian Splatting SLAM with Appearance Embedding,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition SEGS-SLAM: Structure-enhanced 3D Gaussian Splatting SLAM with Appearance Embedding,

Reference 31

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source=pdf_text observed=2026-08-01T07:36:08.362907Z digest=sha256:9899696357373f3170c613c0614cda5915c84eeb0eae6c817bdaa22faf5fdaf9

Observation 46197e0b-0c55-450f-a1b2-1f99eca72bc1 · outbound

This paper cites Vision meets Robotics: The KITTI Dataset,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition Vision meets Robotics: The KITTI Dataset,

Reference 32

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Observation 93f3a95e-6a79-454e-a798-abf3a479a9bd · outbound

This paper cites 1 Year, 1000km: The Oxford RobotCar Dataset,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition 1 Year, 1000km: The Oxford RobotCar Dataset,

Reference 33

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source=pdf_text observed=2026-08-01T07:36:08.702620Z digest=sha256:d25ed8886064c3ca3f8b5706b8cc52ebca47da1e97c75f59e98e57d7dfc74c80

Observation 2c81cf6a-33a7-4239-bd1a-0c16b86396af · outbound

This paper cites The M ´alaga urban dataset: High-rate stereo and LiDAR in a realistic urban scenario,.

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition The M ´alaga urban dataset: High-rate stereo and LiDAR in a realistic urban scenario,

Reference 34

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source=pdf_text observed=2026-08-01T07:36:08.885348Z digest=sha256:005998d031fda8d4c8c8d8f8b6b603ebbb82ec98cd66859d1c98951465a5fe48

Pith citing papers

No inbound Pith citation observations are available.