Paper Citation Record · LEDGER

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control

As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 4 inbound Pith citation observations for arXiv:2507.00363.

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

pith.paper-citation-record.v1
2507.00363 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:24:32.201780Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:24:26.751540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T07:25:12.383160Z

Reference resolution

61 of 61 outbound references displayed

verified exact9
verified fuzzy45
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8686d853-5744-4e6d-afeb-428b94e1d471 · outbound

This paper cites 3D Gaussian Splatting (3DGS) [1]has emerged as a cutting-edge approach for capturing and render- ing 3D scenes from novel perspectives.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control 3D Gaussian Splatting (3DGS) [1]has emerged as a cutting-edge approach for capturing and render- ing 3D scenes from novel perspectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:40.379658Z

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Observation 96d79fa1-c2c8-4c3a-b379-7e96d26bf9f3 · outbound

This paper cites GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:26.751540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc4c553-ec09-41a2-8fae-8cad3a9d97f4 · outbound

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GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Unresolved cited work

Reference 3

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Observation 879cb503-4a24-490e-adc2-f795d7f84291 · outbound

This paper cites an unresolved cited work.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:40.146538Z

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Observation 78a19f41-8104-4a57-91ec-f0266bd39782 · outbound

This paper cites By using SfM data and an MLP for initialization, we achieve improved convergence and accuracy over the original 3DGS.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control By using SfM data and an MLP for initialization, we achieve improved convergence and accuracy over the original 3DGS

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.996243Z

Source-reported events for the cited work

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Observation 8bea5cd9-6651-467e-ba9e-7241d973a0a6 · outbound

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

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control 3d gaussian splatting for real-time radiance field rendering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.838659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29a183c2-0678-467d-ba3f-1c2f90abc82f · outbound

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

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.731487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16646d00-b94d-4753-81cc-510ebb6f1e1b · outbound

This paper cites The lumigraph,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control The lumigraph,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.618052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b0e67c2-5a1a-4565-9fc3-6ec68a8d29ba · outbound

This paper cites Light field rendering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Light field rendering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.509291Z

Source-reported events for the cited work

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Observation 97ed88b1-fd0f-46b9-859c-b5949499bd72 · outbound

This paper cites Unstructured lu- migraph rendering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Unstructured lu- migraph rendering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.349538Z

Source-reported events for the cited work

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Observation 08e22774-efb1-4b73-8edb-404971bc4875 · outbound

This paper cites Photo tourism: Exploring photo collections in 3d,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Photo tourism: Exploring photo collections in 3d,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.237220Z

Source-reported events for the cited work

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Observation c73b8a56-3475-432d-a102-e7fdfc4a5230 · outbound

This paper cites Multi-view stereo for community photo collections,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Multi-view stereo for community photo collections,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.152191Z

Source-reported events for the cited work

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Observation 4b09d43e-6432-4ccd-a0ea-3f67dfc19485 · outbound

This paper cites Depth synthesis and local warps for plausible image-based navigation,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Depth synthesis and local warps for plausible image-based navigation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.031344Z

Source-reported events for the cited work

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Observation 3d5ce0a2-6217-43e0-be8b-703e18f36f3a · outbound

This paper cites Floating tex- tures,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Floating tex- tures,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.926538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0bf80ffa-244a-4a40-bea2-7ad62075146a · outbound

This paper cites Deep blending for free-viewpoint image-based rendering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Deep blending for free-viewpoint image-based rendering,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.820138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7758e7f0-23a7-478c-bc71-6819ab416d93 · outbound

This paper cites Point-based neural rendering with per-view optimization,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Point-based neural rendering with per-view optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.707734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08ae1a8d-6d05-45c3-ac74-1e77071f8d41 · outbound

This paper cites Advances in neural rendering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Advances in neural rendering,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.630717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 383abd9f-b6ee-4cd5-96f4-cc38cd2c3b3e · outbound

This paper cites Point sample rendering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Point sample rendering,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.488657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a371df8-c1d1-4f8e-b8b7-21c77d233779 · outbound

This paper cites High-quality surface splatting on today’s gpus,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control High-quality surface splatting on today’s gpus,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.358096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 948c08f8-38da-48c1-9c24-848d21f0fc26 · outbound

This paper cites Surfels: Surface elements as ren- dering primitives,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Surfels: Surface elements as ren- dering primitives,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.241781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a1ecab3-474d-4cc4-89fb-437b7d60c8e3 · outbound

This paper cites Surface splatting,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Surface splatting,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:38.107868Z

Source-reported events for the cited work

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Observation 51d7acc2-985d-4614-ba4b-480358e8657b · outbound

This paper cites Neural point- based graphics,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Neural point- based graphics,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.966387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab762de0-f80a-49d3-90a3-16aaddafd243 · outbound

This paper cites Adop: Approximate differentiable one-pixel point ren- dering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Adop: Approximate differentiable one-pixel point ren- dering,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.828272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45a46778-021e-4508-83df-18e6d4ee02f1 · outbound

This paper cites Pulsar: Effi- cient sphere-based neural rendering,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Pulsar: Effi- cient sphere-based neural rendering,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.725213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2204e64e-1ca7-40a5-91c2-b324148839fe · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Instant neural graphics primitives with a multiresolution hash encoding,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.591114Z

Source-reported events for the cited work

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Observation bac5818e-1ace-4ea4-b723-9b7c9e4f90fe · outbound

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

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Sugar: Surface- aligned gaussian splatting for efficient 3d mesh recon- struction and high-quality mesh rendering,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.442184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34c43d5b-e127-4c30-a69f-18a51f4a37f3 · outbound

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

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Multi-scale 3d gaussian splatting for anti-aliased rendering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.316539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62b0da69-e027-4b68-97ac-a87eab3a3cc8 · outbound

This paper cites Densenet-based land cover classification network with deep fusion,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Densenet-based land cover classification network with deep fusion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.175502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d55f698-22fd-4626-accc-75ef291fa1f0 · outbound

This paper cites Uhrsnet: A semantic segmentation network specifi- cally for ultra-high-resolution images,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Uhrsnet: A semantic segmentation network specifi- cally for ultra-high-resolution images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.049484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 878f1271-d374-4dfa-a117-92415a329f45 · outbound

This paper cites Class-incremental learning for semantic segmentation in aerial imagery via distillation in all aspects,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Class-incremental learning for semantic segmentation in aerial imagery via distillation in all aspects,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.911476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 897a524e-a831-4e55-aab1-532c1c9c9192 · outbound

This paper cites De- couple the high-frequency and low-frequency informa- tion of images for semantic segmentation,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control De- couple the high-frequency and low-frequency informa- tion of images for semantic segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.752942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f5f0781-5de9-4124-a23b-f3015c45d7e2 · outbound

This paper cites Mbnet: A multi- resolution branch network for semantic segmentation of ultra-high resolution images,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Mbnet: A multi- resolution branch network for semantic segmentation of ultra-high resolution images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.630907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 658936df-9ed8-4fc4-a689-b9c32c1c48c3 · outbound

This paper cites Class-incremental semantic segmentation of aerial im- ages via pixel-level feature generation and task-wise dis- tillation,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Class-incremental semantic segmentation of aerial im- ages via pixel-level feature generation and task-wise dis- tillation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.478511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d7a08ce-d7eb-4cda-abc0-14c13f7b48b8 · outbound

This paper cites Global-local attention network for se- mantic segmentation in aerial images,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Global-local attention network for se- mantic segmentation in aerial images,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.322589Z

Source-reported events for the cited work

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Observation 6d25fca3-5efd-4abf-a9b7-732a5dd6f50e · outbound

This paper cites Continual learn- ing for image segmentation with dynamic query,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Continual learn- ing for image segmentation with dynamic query,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.166296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a644c59-4082-4c12-81ea-3d7fa2ff01e8 · outbound

This paper cites In- cremental few shot semantic segmentation via class- agnostic mask proposal and language-driven classifier,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control In- cremental few shot semantic segmentation via class- agnostic mask proposal and language-driven classifier,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.030501Z

Source-reported events for the cited work

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Observation b906fe8d-4bae-4f1c-851c-38e42c27f77b · outbound

This paper cites Boosting General Trimap-free Matting in the Real-World Image.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Boosting General Trimap-free Matting in the Real-World Image

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:33.934910Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d638f03e-aa64-4cf0-bdde-f0cdd9d1b6e5 · outbound

This paper cites A data-related patch pro- posal for semantic segmentation of aerial images,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control A data-related patch pro- posal for semantic segmentation of aerial images,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.885207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1222c8f5-b826-484a-929b-cb8d4a22c06c · outbound

This paper cites End- to-end remote sensing change detection of unregis- tered bi-temporal images for natural disasters,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control End- to-end remote sensing change detection of unregis- tered bi-temporal images for natural disasters,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.746069Z

Source-reported events for the cited work

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Observation 35e6a6fb-4d53-4e1c-8987-c1744ae5329b · outbound

This paper cites Lifelong Learning and Selective Forgetting via Contrastive Strategy.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Lifelong Learning and Selective Forgetting via Contrastive Strategy

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:33.756449Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 947bd706-259d-4f5a-9e92-e7e54155bd94 · outbound

This paper cites Cognitive Memory in Large Language Models.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Cognitive Memory in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:31.210609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42fd19a4-2460-4e0a-989f-6fe8069f71f9 · outbound

This paper cites Dlnet: A dual-level network with self-and cross-attention for high-resolution remote sensing seg- mentation,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Dlnet: A dual-level network with self-and cross-attention for high-resolution remote sensing seg- mentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.603670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1850783-47a4-4ef8-a110-dc29a7563cb9 · outbound

This paper cites Transform dual- branch attention net: Efficient semantic segmentation of ultra-high-resolution remote sensing images,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Transform dual- branch attention net: Efficient semantic segmentation of ultra-high-resolution remote sensing images,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.409942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d092597-889c-47b2-88f1-d89bd242a698 · outbound

This paper cites Fusing multitask models by recursive least squares,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Fusing multitask models by recursive least squares,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.248308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3334e514-2b93-4ec8-9d49-571f3ed3d042 · outbound

This paper cites Ldnet: Semantic seg- mentation of high-resolution images via learnable patch proposal and dynamic refinement,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Ldnet: Semantic seg- mentation of high-resolution images via learnable patch proposal and dynamic refinement,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.056030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2546b220-4317-4c2f-b47e-4d49d99d16e7 · outbound

This paper cites Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:33.519154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 365574ec-d2cb-4db1-9cb0-c5b0cdda45f2 · outbound

This paper cites Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:31.389645Z

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Observation ceae321e-e66e-4687-b5c4-1ec0e8929d05 · outbound

This paper cites The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:33.359225Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7465601-7015-40e2-8504-28598e233477 · outbound

This paper cites Energy minimum regularization in continual learning,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Energy minimum regularization in continual learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.936703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 323786b8-423d-4479-9e78-57415892d647 · outbound

This paper cites Boosting semantic segmentation of aerial images via decoupled and multilevel compaction and dispersion,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Boosting semantic segmentation of aerial images via decoupled and multilevel compaction and dispersion,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.788708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7904220a-a02c-4ff3-8487-454ab0b0e57b · outbound

This paper cites Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:33.184027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3019de6-5e03-476c-ab78-8cac4c8f5b47 · outbound

This paper cites DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:32.974124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b027ccb-2d7e-4a40-85b8-1c16c3158ecd · outbound

This paper cites Flexdataset: Crafting an- notated dataset generation for diverse applications,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Flexdataset: Crafting an- notated dataset generation for diverse applications,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.639338Z

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Observation 93540a2f-6943-4994-8f82-572da41d3926 · outbound

This paper cites GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:32.793578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3907d37d-4eb1-473f-9a35-9c4d1feb25f3 · outbound

This paper cites Llm-cot enhanced graph neural rec- ommendation with harmonized group policy optimiza- tion,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Llm-cot enhanced graph neural rec- ommendation with harmonized group policy optimiza- tion,

Reference 55

Resolution: verified exact; raw_fallback, observed 2026-08-06T21:24:32.604507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78be2c51-09bf-4c70-8af5-974ff8d86463 · outbound

This paper cites Geogrambench: Bench- marking the geometric program reasoning in modern llms,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Geogrambench: Bench- marking the geometric program reasoning in modern llms,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:31.829845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a34a1ef-010f-4b43-8de7-cf7d9ee70961 · outbound

This paper cites GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:31.913301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b74c0e-9019-4457-ae9a-d7ea6b91d551 · outbound

This paper cites F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:32.337142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d03b643-e53c-4a1e-a283-1ebc07d44254 · outbound

This paper cites Plenoxels: Radiance fields without neural networks,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Plenoxels: Radiance fields without neural networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.488092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f4129fd-c7f1-4fc3-824a-456fbcbb812c · outbound

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

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.383346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7216851d-d8de-4589-93e4-4c5a064de84a · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.190865Z

Source-reported events for the cited work

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Pith citing papers

Observation 96d79fa1-c2c8-4c3a-b379-7e96d26bf9f3 · inbound