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Paper Citation Record · LEDGER

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.17965.

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

pith.paper-citation-record.v1
2607.17965 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:34:38.716940Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation ae0365bc-8eca-4a38-87f2-8f8532c26e58 · outbound

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

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting 3d gaussian splatting for real- time radiance field rendering.ACM Trans

Reference 1

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Observation 2e6d48c6-97fc-4e41-9b1c-f54853dd3c34 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99– 106, 2021.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99– 106, 2021

Reference 2

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Observation 6cc0baec-41c7-4e86-8e3d-fb3005329b47 · outbound

This paper cites Absgs: Recovering fine details in 3d gaussian splat- ting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Absgs: Recovering fine details in 3d gaussian splat- ting

Reference 3

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Observation 28e1eadf-56d3-4477-9572-72d119f07f59 · outbound

This paper cites Pixel-gs: Density control with pixel- aware gradient for 3d gaussian splatting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Pixel-gs: Density control with pixel- aware gradient for 3d gaussian splatting

Reference 4

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Observation 886fdf55-b2da-4ff0-8577-77ef0302cc66 · outbound

This paper cites Taming 3dgs: High-quality radiance fields with limited resources.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Taming 3dgs: High-quality radiance fields with limited resources

Reference 5

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Observation 92682c44-3728-4267-b016-a3459964327f · outbound

This paper cites Mini-splatting: Repre- senting scenes with a constrained number of gaussians.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Mini-splatting: Repre- senting scenes with a constrained number of gaussians

Reference 6

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Observation 6c2a4100-cac8-4cc1-97a5-0ac8ae14191e · outbound

This paper cites Hogs: Unifiednearandfarobjectreconstruc- tion via homogeneous gaussian splatting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Hogs: Unifiednearandfarobjectreconstruc- tion via homogeneous gaussian splatting

Reference 7

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Observation ff749fd4-dced-459b-aa04-ad2700839583 · outbound

This paper cites 3d gaus- sian splatting as markov chain monte carlo.Advances in Neural Information Processing Systems, 37:80965–80986,.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting 3d gaus- sian splatting as markov chain monte carlo.Advances in Neural Information Processing Systems, 37:80965–80986,

Reference 8

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Observation 1dceb5b0-b215-47f4-be9f-147497d9f3c7 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Bayesian learning via stochastic gradient langevin dynamics

Reference 9

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Observation 15846fc6-c404-4c40-84be-f7b35398f23e · outbound

This paper cites How to escape saddle points effi- ciently.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting How to escape saddle points effi- ciently

Reference 10

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Observation 4629a197-a748-4b0a-b3c5-6b5224b8524f · outbound

This paper cites Escap- ing from saddle points—online stochastic gradient for tensor decomposition.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Escap- ing from saddle points—online stochastic gradient for tensor decomposition

Reference 11

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Observation 30593fae-2415-4bb5-8b78-19c4f1ce3ac9 · outbound

This paper cites Mip-nerf 360: Un- bounded anti-aliased neural radiance fields.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Mip-nerf 360: Un- bounded anti-aliased neural radiance fields

Reference 12

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Observation 623f0b1d-5ec6-4fa9-ac04-372a497a3495 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36(4):1–13, 2017.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36(4):1–13, 2017

Reference 13

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Observation a130df4a-8f4d-46cf-8a1b-935ee2165c9b · outbound

This paper cites Deep blendingforfree-viewpointimage-basedrendering.ACM Transactions on Graphics (ToG), 37(6):1–15, 2018.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Deep blendingforfree-viewpointimage-basedrendering.ACM Transactions on Graphics (ToG), 37(6):1–15, 2018

Reference 14

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Observation ef92e1e8-1456-4a55-abfd-f2fc7608a1db · outbound

This paper cites A large-scale outdoor multi- modal dataset and benchmark for novel view synthesis and implicit scene reconstruction.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting A large-scale outdoor multi- modal dataset and benchmark for novel view synthesis and implicit scene reconstruction

Reference 15

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Observation 6a913bdc-50c2-4d30-8470-3a6314c2c7ef · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 16

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Observation db088ac7-f076-4953-92de-1e59eee9d05c · outbound

This paper cites Gradient-direction- aware density control for 3d gaussian splatting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Gradient-direction- aware density control for 3d gaussian splatting

Reference 17

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Observation aa3c32c4-55f9-4735-a7a1-1f4415212fac · outbound

This paper cites Revising densification in gaussian splatting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Revising densification in gaussian splatting

Reference 18

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Observation b2a13f7d-721a-4efa-855a-b78e325f1066 · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 19

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Observation 5ea1daee-1f79-415f-8f4b-55d0464ea5e9 · outbound

This paper cites Proxy-gs: Unified occlusion priors for train- ing and inference in structured 3d gaussian splatting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Proxy-gs: Unified occlusion priors for train- ing and inference in structured 3d gaussian splatting

Reference 20

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Observation 19b70ceb-70f2-4cfa-883c-a2c47686a37b · outbound

This paper cites Optimization by simulated annealing.science, 220 (4598):671–680, 1983.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Optimization by simulated annealing.science, 220 (4598):671–680, 1983

Reference 21

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Observation b8b02245-ee70-4968-ba78-8064adbcb722 · outbound

This paper cites MIT press Cam- bridge, 1998.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting MIT press Cam- bridge, 1998

Reference 22

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Observation 5839300d-8528-46ba-a88c-4bee75876e16 · outbound

This paper cites Parameter Space Noise for Exploration.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Parameter Space Noise for Exploration

Reference 23

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Observation 9ae6479f-15a5-4120-be61-77a256f9d5c9 · outbound

This paper cites Noisy networks for exploration.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Noisy networks for exploration

Reference 24

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Observation 1bc76035-5263-4f38-bf4c-ec28e41e7930 · outbound

This paper cites Unifying count-based exploration and intrinsic motivation.Ad- vances in neural information processing systems, 29, 2016.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Unifying count-based exploration and intrinsic motivation.Ad- vances in neural information processing systems, 29, 2016

Reference 25

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Observation 25cf7159-c760-43d6-a0d6-c85ba78d6d21 · outbound

This paper cites Curiosity-driven exploration by self- supervised prediction.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Curiosity-driven exploration by self- supervised prediction

Reference 26

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Observation 5f409546-49ab-429f-8b79-d4f6f5e85352 · outbound

This paper cites Exploration by Random Network Distillation.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Exploration by Random Network Distillation

Reference 27

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Observation 05e85e00-7395-42a5-904f-750ffb190e0e · outbound

This paper cites Deep exploration via randomized value functions.Journal of machine learning research, 20(124): 1–62, 2019.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Deep exploration via randomized value functions.Journal of machine learning research, 20(124): 1–62, 2019

Reference 28

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Observation 245cdcab-1d23-4465-b7a1-5e970af7d769 · outbound

This paper cites Opt3dgs: Optimizing3dgaussiansplattingwithadaptive exploration and curvature-aware exploitation.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Opt3dgs: Optimizing3dgaussiansplattingwithadaptive exploration and curvature-aware exploitation

Reference 29

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Observation c716f7e4-fe45-4ae8-9905-ee95cb4ad901 · outbound

This paper cites Edgs: Eliminating densification for efficient convergence of 3dgs.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Edgs: Eliminating densification for efficient convergence of 3dgs

Reference 30

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Observation 3c768a90-ee91-45a4-ae79-f711bfd0a264 · outbound

This paper cites 3dgs2: Near second-order converg- ing 3d gaussian splatting.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting 3dgs2: Near second-order converg- ing 3d gaussian splatting

Reference 31

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Observation 8bb1726e-d6f7-46da-b580-c53f3cdf426a · outbound

This paper cites Seele: A unified acceleration framework for real-time gaussian splatting on mobile devices.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Seele: A unified acceleration framework for real-time gaussian splatting on mobile devices

Reference 32

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Observation 7589ceca-e820-494b-ab70-cbbbfacf3a2b · outbound

This paper cites Faster and better 3d splatting via group training.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Faster and better 3d splatting via group training

Reference 33

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Observation 1e0b94fc-b452-4452-a34e-3f9b39da0bf8 · outbound

This paper cites Speeding up the learning of 3d gaussians with much shorter gaussian lists.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Speeding up the learning of 3d gaussians with much shorter gaussian lists

Reference 34

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Observation 408181cf-b1ad-4d0a-a935-513481f8f09e · outbound

This paper cites Rade-gs: Raster- izing depth in gaussian splatting.ACM Transactions on Graphics, 45(2):1–14, 2026.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Rade-gs: Raster- izing depth in gaussian splatting.ACM Transactions on Graphics, 45(2):1–14, 2026

Reference 35

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Observation 8c40692c-0a00-4ba0-b00d-ae3690931f77 · outbound

This paper cites Pgsr: Planar-based gaussian splat- ting for efficient and high-fidelity surface reconstruction.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Pgsr: Planar-based gaussian splat- ting for efficient and high-fidelity surface reconstruction

Reference 36

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Observation 5452d354-8195-437a-b079-17192833ae07 · outbound

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

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting 4d gaussian splatting for real-time dynamic scene rendering

Reference 37

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Observation d923f373-3ae9-4b6a-b90e-5f97722fc697 · outbound

This paper cites Neural 3d video synthesis from multi-view video.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Neural 3d video synthesis from multi-view video

Reference 38

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Observation 2189b339-7736-4f76-a3c7-f17117bd10b0 · outbound

This paper cites Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024

Reference 39

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This paper cites an unresolved cited work.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Unresolved cited work

Reference 40

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Observation 4c0a7d2b-5a7c-44c8-ac5f-0f71e181e9fc · outbound

This paper cites an unresolved cited work.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Unresolved cited work

Reference 41

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Observation 97b066df-c80b-4c26-83d6-f4e9a6dbd63b · outbound

This paper cites an unresolved cited work.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting Unresolved cited work

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation abee07f7-d4c1-46de-ae50-17be4cbc8653 · outbound

This paper cites The composite matrixM=PVencodes the combined camera–projection mapping.

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting The composite matrixM=PVencodes the combined camera–projection mapping

Reference 43

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Pith citing papers

No inbound Pith citation observations are available.