Paper Citation Record · LEDGER

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization

As of 17 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2501.11508.

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

pith.paper-citation-record.v1
2501.11508 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:14:25.269292Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:58:05.362227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:58:05.599644Z

Reference resolution

49 of 49 outbound references displayed

verified exact1
verified fuzzy39
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 088a7563-0b7f-44f8-a0a1-a73566aa9034 · outbound

This paper cites A survey on vision-based human action recognition,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization A survey on vision-based human action recognition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.105309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e176316-d17f-45cb-923d-2e72eae73978 · outbound

This paper cites Online video super-resolution with convolutional kernel bypass grafts,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Online video super-resolution with convolutional kernel bypass grafts,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.091482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea49726e-aa1d-4552-adf4-d6cb17d7902d · outbound

This paper cites 3-d model-based tracking of humans in action: a multi-view approach,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization 3-d model-based tracking of humans in action: a multi-view approach,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.075964Z

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Observation 61559e25-1347-47f5-a5de-206bafe65766 · outbound

This paper cites Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:14:25.386715Z

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Observation fb1d87ff-7e4d-4eab-819e-c2766234415f · outbound

This paper cites Cross-view action recognition from temporal self-similarities,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Cross-view action recognition from temporal self-similarities,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.057654Z

Source-reported events for the cited work

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Observation c243a716-a37e-41bb-ae18-693a4da504fb · outbound

This paper cites Inte- grally mixing pyramid representations for anchor-free object detection in aerial imagery,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Inte- grally mixing pyramid representations for anchor-free object detection in aerial imagery,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.038837Z

Source-reported events for the cited work

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Observation d83dc699-4136-41ec-b71f-f4c4e6797957 · outbound

This paper cites A comparison and evaluation of multi-view stereo reconstruction algo- rithms,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization A comparison and evaluation of multi-view stereo reconstruction algo- rithms,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.021869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22ac35cc-54ca-44eb-9744-6813fcab4b95 · outbound

This paper cites Accurate, dense, and robust multiview stereopsis,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Accurate, dense, and robust multiview stereopsis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:26.006185Z

Source-reported events for the cited work

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Observation f72ae26a-0f78-4446-98a4-0e65bc093431 · outbound

This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.989856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae1f7146-080a-4403-b44c-d056610f7b17 · outbound

This paper cites Structured adversarial self-supervised learning for robust object detection in remote sensing images,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Structured adversarial self-supervised learning for robust object detection in remote sensing images,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.973292Z

Source-reported events for the cited work

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Observation a2fc8177-2d48-4941-bd5d-e8e6bcc1df92 · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization A point set generation network for 3d object reconstruction from a single image,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.956614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96e7f212-11da-423c-b139-ddb3bf77e8ee · outbound

This paper cites Feature redundancy mining: Deep light-weight image super-resolution model,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Feature redundancy mining: Deep light-weight image super-resolution model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.940845Z

Source-reported events for the cited work

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Observation 36a074f7-4443-45d6-9011-a05f5ca56cbe · outbound

This paper cites Hierarchical vertex-wise intensification graph convolution for skeleton-based activity recognition,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Hierarchical vertex-wise intensification graph convolution for skeleton-based activity recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.925125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d1a7829-af86-4b6c-9483-31c5f3f10ac7 · outbound

This paper cites Towards pro- gressive multi-frequency representation for image warping,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Towards pro- gressive multi-frequency representation for image warping,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.908347Z

Source-reported events for the cited work

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Observation efce59cd-ced6-4a33-81c8-1a844d08a360 · outbound

This paper cites Image-based 3d modelling: a review,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Image-based 3d modelling: a review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.889228Z

Source-reported events for the cited work

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Observation 1ce5ed2d-0b59-40f3-a66a-eeb7b108f751 · outbound

This paper cites Self-feature learning: An efficient deep lightweight network for image super-resolution,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Self-feature learning: An efficient deep lightweight network for image super-resolution,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.873722Z

Source-reported events for the cited work

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Observation f46c9f4c-216d-4453-a49c-3f64727dbf22 · outbound

This paper cites Pointshop 3d: An interactive system for point-based surface editing,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Pointshop 3d: An interactive system for point-based surface editing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.857245Z

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Observation 6466bf40-1901-4175-9356-ee56a159fd24 · outbound

This paper cites Deep progressive fea- ture aggregation network for multi-frame high dynamic range imaging,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Deep progressive fea- ture aggregation network for multi-frame high dynamic range imaging,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.840836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2424080d-4c76-43de-a064-dd3476ace140 · outbound

This paper cites Shape completion enabled robotic grasping,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Shape completion enabled robotic grasping,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.823100Z

Source-reported events for the cited work

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Observation 6560b31e-6d98-49a3-93c1-9381fad57d8e · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 20

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Source-reported events for the cited work

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Observation 9f61e2a3-de39-4fec-9e46-87bae3ec5f08 · outbound

This paper cites Mip-nerf: A multiscale representation for anti- aliasing neural radiance fields,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Mip-nerf: A multiscale representation for anti- aliasing neural radiance fields,

Reference 21

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Source-reported events for the cited work

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Observation 9c9393e4-8684-49ff-a411-9ac2070393f4 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.785104Z

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Observation f980ed62-1601-4e36-9a20-6f3cb19d3374 · outbound

This paper cites NeRF++: Analyzing and Improving Neural Radiance Fields.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 23

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Observation b07b299d-f2e1-4a4d-acbc-3aca54673233 · outbound

This paper cites Point-nerf: Point-based neural radiance fields,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Point-nerf: Point-based neural radiance fields,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.768797Z

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Observation cfc16b02-5f1c-42f9-98a7-d8183fea3098 · outbound

This paper cites Neural sparse voxel fields,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Neural sparse voxel fields,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.752164Z

Source-reported events for the cited work

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Observation 325dd1a5-2072-43f0-8ab7-0b6fbac918e0 · outbound

This paper cites Light field networks: Neural scene representations with single- evaluation rendering,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Light field networks: Neural scene representations with single- evaluation rendering,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.736474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d54207d9-9ac1-40db-a859-701646605ca0 · outbound

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

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization 3d gaussian splatting for real-time radiance field rendering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.720152Z

Source-reported events for the cited work

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Observation 62d7635c-6f0d-4573-aca4-160740fcf637 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 28

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Source-reported events for the cited work

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Observation c4672eb8-3f2a-41c6-a8b2-cfb58246b7a0 · outbound

This paper cites Multi-scale 3d gaussian splatting for anti-aliased rendering,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Multi-scale 3d gaussian splatting for anti-aliased rendering,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.702593Z

Source-reported events for the cited work

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Observation c7f639ff-05af-4852-bd7b-3534136f8c1b · outbound

This paper cites Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T18:14:25.166460Z

Source-reported events for the cited work

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Observation c2bf65db-a132-4141-9fd5-8c6e63855a96 · outbound

This paper cites Compact 3d gaussian representation for radiance field,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Compact 3d gaussian representation for radiance field,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.685920Z

Source-reported events for the cited work

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Observation 16e570df-c74e-41c1-9781-45040d8d1324 · outbound

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

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Scaffold- gs: Structured 3d gaussians for view-adaptive rendering,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.669244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e979ab8b-efc4-4d9a-adaa-0dd821cf579c · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.651794Z

Source-reported events for the cited work

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Observation e6463534-5a33-4571-b5aa-2c8a85e6dd2d · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Putting nerf on a diet: Semantically consistent few-shot view synthesis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.637174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e8b0da3-8da0-4d36-95c6-33569f810f40 · outbound

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

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Learning transferable visual models from natural language supervision,

Reference 35

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Observation e81a0d0d-808a-4348-97a2-0d53b1e37412 · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.610712Z

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Observation 4d237612-56e2-4f7e-ad60-b18d5e3a07e9 · outbound

This paper cites Vision transformers for dense prediction,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Vision transformers for dense prediction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.593368Z

Source-reported events for the cited work

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Observation 3de15685-f9f4-48d5-a38a-27378165cfe1 · outbound

This paper cites Freenerf: Improving few-shot neural rendering with free frequency regularization,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Freenerf: Improving few-shot neural rendering with free frequency regularization,

Reference 38

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Source-reported events for the cited work

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Observation 3d00692d-a224-4223-bf38-9d49f6f328dc · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Fsgs: Real-time few-shot view synthesis using gaussian splatting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.567725Z

Source-reported events for the cited work

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Observation 698d4809-dadd-48a0-affc-3d51bf571537 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 40

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Source-reported events for the cited work

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Observation 43e66b05-4925-4d68-85d2-991362bdb56c · outbound

This paper cites Dense depth priors for neural radiance fields from sparse input views,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Dense depth priors for neural radiance fields from sparse input views,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.550783Z

Source-reported events for the cited work

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Observation bb55b2f2-9146-4a4e-a5d6-2713d094456a · outbound

This paper cites Pearson correlation coefficient,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Pearson correlation coefficient,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T18:14:25.227415Z

Source-reported events for the cited work

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Observation 7be34020-3cbb-4931-b6ce-eb610e954d59 · outbound

This paper cites A structure-affinity dual attention-based network to segment spine for scoliosis assessment,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization A structure-affinity dual attention-based network to segment spine for scoliosis assessment,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.496562Z

Source-reported events for the cited work

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Observation d922dfa8-5eb4-46a7-9f65-f8aae27d8001 · outbound

This paper cites Sinnerf: Training neural radiance fields on complex scenes from a single image,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Sinnerf: Training neural radiance fields on complex scenes from a single image,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.476416Z

Source-reported events for the cited work

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Observation 72a4e5d6-2346-4fb7-810c-2ac708403856 · outbound

This paper cites Satr: A structure-affinity attention-based transformer encoder for spine segmentation,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Satr: A structure-affinity attention-based transformer encoder for spine segmentation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.457619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7bb0058c-5117-40b5-8926-cf653540e376 · outbound

This paper cites Point cloud densification for 3d gaussian splatting from sparse input views,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Point cloud densification for 3d gaussian splatting from sparse input views,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.439904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 326e5f1c-6e48-4096-8229-93cbae6c5dfc · outbound

This paper cites Deep multi-scale feature mixture model for image super-resolution with multiple-focal- length degradation,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Deep multi-scale feature mixture model for image super-resolution with multiple-focal- length degradation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.519850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e473c091-d312-470b-92ab-ccb777f9b994 · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.421925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e75cf0f-f753-4112-bef4-0d391e5ea798 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization The unreasonable effectiveness of deep features as a perceptual metric,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:25.405529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation b1847d6f-9983-4017-912e-5002b7f4355a · inbound

Multi-view Normal and Distance Guidance Gaussian Splatting for Surface Reconstruction cites this paper.

Multi-view Normal and Distance Guidance Gaussian Splatting for Surface Reconstruction See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:58:05.605861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.