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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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.

source=pdf_text observed=2026-08-06T21:24:26.751540Z digest=sha256:1b409b8cf4e5b76daeb046aeed685ef7d9f84b1af6239446167f9ae9a9551606

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

This paper cites an unresolved cited work.

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

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:24:40.294245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:26.979244Z digest=sha256:7079652f070926079119131270a98f5a396127ed0edcc07d618475891dc2b812

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.129131Z digest=sha256:1d51187fd61575ceadb492a6a0e9e4b834537d4bb24574a344fad8c6eba95739

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.254470Z digest=sha256:8303b2a587834bc6653215cce2e5a9217d0e682be9187f57be56181fc1d866cf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.408061Z digest=sha256:8bd2d815e1a30aefda0ac449bf55cc658c32dd71b7bd8b60dc56a02cecdad22a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.540149Z digest=sha256:1a810e16901d433823c5ea02442d5c322cdd03c725fe3859879b3146d3cb6891

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.644632Z digest=sha256:ef510b218a83a18e329f44477c5a5d23b0bba7670933989324bce1a7df47177b

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.749958Z digest=sha256:5b527e0178a01c143c715f08fa206cd3139dc689d0a72a66dd986693167b0e79

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:27.886665Z digest=sha256:76fb4946f317d20b096864b8d8e7d79ebfdd5b35c45f13095893157fb1b150cd

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.048696Z digest=sha256:e20afe3d1cb5039f1bf2225c33761dc7a20a593f0d13c4ddca990500fce09c20

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.174481Z digest=sha256:a5ce1f55d1bce0d9f41c6705a5653dad8da83d1390d91b3ce677a161dedbdd1e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.271534Z digest=sha256:e78c5abf49219a30351b9b8f8a67c8e0153f36e7fe04ea6994d52018ecf4ae3c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.376757Z digest=sha256:5b79a4c12efdd27b352d1b435ed4793ec132d4820e4d30f406769a6bc5e4b4c5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.479040Z digest=sha256:8359e5daf1f4fb0c357cf41d5e3b88aaab33a28674f67a2618a96e8d16af50ae

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.560543Z digest=sha256:5b445eedb116a2d49da7837cba2407c8b5362547ebca3fccf553ed4f2a5922cf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.656756Z digest=sha256:c992c867e618cd6f86275e1b6c6480b92c0fdd5db91e8bdf72b513bcb5f47d60

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.783783Z digest=sha256:5e973ee12219f44914d4766e0c3209b317844d093654be8182e3ca3f7e531337

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.894957Z digest=sha256:768aedce0665e2bb7bb16f431b9f1fb9e6dcf356876beedb4f0693db412930ff

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:28.998006Z digest=sha256:668b93f88aa06287cdd1ab11e8e603574aa8b3740afd35f53ca6aafe89982ff4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.094114Z digest=sha256:406fe4ef879240a674b4f3a9fb6c78e94e9b5b19b654cf707c3714ce0613fa6d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.180444Z digest=sha256:514eb47c79a5570a71f77897199e3876a22b03bc3afa92991557d25229443baa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.274017Z digest=sha256:55e4e8c4a62e522e13490f7538ea7260ab72a534120e56409e73e354b3b3e634

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.382711Z digest=sha256:7161857e253326cb4a4eadaf8dcf5bb41ccfdc7b30042a2b38c9765ed50f8dda

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.496681Z digest=sha256:b2694566837f8002ab7ed64d49b6fad562fd6c30934ed072edd1ef3c97e0bbe6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.632904Z digest=sha256:41c781b4e6f2e0bdef46d9cd2c539e49a9e5ca51607f9331fcca5e64f7306535

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.753214Z digest=sha256:bd1e75dd1b224093ee47d1eba38be38172b3ff7c7eb6431096f639d8714e07cf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:29.903718Z digest=sha256:c2652208d1a55491de249753d9a3bdc91e53ea3ef75fa4eaf4c268c583ef6b06

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:30.125534Z digest=sha256:eaa1198de2256ebbf30b98ebd872713150f786a55af76c34ef797c83a850bdc4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:30.337379Z digest=sha256:8137ccf86db9c38e2da4b19dc9925ba59b793742141183516ace83b7b4119366

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:30.495806Z digest=sha256:b36f487f4c6bb603d73caa22d6c02fe8dc34beb31b8795b301ccd3cf9be8eea0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:30.699412Z digest=sha256:8c5256d168e7c7ea89057d475a33400fd98d6d22650ae0cd53c1d51a506af3dc

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:30.852254Z digest=sha256:60bfe5b6dc5f3ef9c5f329e7848c8a8a6288cdd21ae72f28300da63e0a9b984f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.036060Z digest=sha256:2c78a88768a4f2c4555e733475b9216db76257859d68adb464c8bee40965c7dd

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.082887Z digest=sha256:1dc1e23d758e9d0e3be243192f8159e85a7b0aa8c849cee16dfc735664a55c71

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.102297Z digest=sha256:016d6670575fd6894252aa59952b0eca9e9624ad770445150a649d9b5557090e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.121767Z digest=sha256:7d26d643dde6fdc101e7a3280c2f1ddb32c4bb580fab0553cf50ebb3f04bae90

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.155438Z digest=sha256:6498dc2554e9965f9b0f88ce3d82a9b205919b4faf12f9a2d9b1265d5215db8d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.183903Z digest=sha256:fae17a7e115c7bb31bf38027d44e0ccb9c1e07769b0fcba289a43562ad08e1bf

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.

source=pdf_text observed=2026-08-06T21:24:31.210609Z digest=sha256:50ea216c6c35d5f66c64e604ec4205bcbb0272ec6a093a586f0429fdb6d68934

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.243812Z digest=sha256:73000a953def3678942b285ec8ebc51a237934bf44c63dee2806e30f8a816ce8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.270864Z digest=sha256:99bbca2a068dd0fcb2a992fb7c22aa0cfdd59596ac193d1c460ade872c6c3430

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.303508Z digest=sha256:84db1431c3320317a6a7967d29851513a2899d22cde8730f3ca02082331e2d41

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.329336Z digest=sha256:80fcda1179dc6b4cfaeeae1e8a666b57fae41048c63d6e7f92471e25e17e734b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.358348Z digest=sha256:a2aa7ef6e78997ec2080f79fe9b9937d7b30102cd4d3f9a0aa1e6833dcb3d7b7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:24:31.389645Z digest=sha256:dce48f41f4cf80ea7bc963ae7ba25989052575e12cf90c3382b94d266c15c3a3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.415368Z digest=sha256:4af3946b4c559e17e49faf9acc89718d6247643fd897ff829b83dc1ceb4bf3dc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.448951Z digest=sha256:075ef50f765d626c6a4390c7f5c73b31a95baa4ccd609d66352df70f818ae274

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.476416Z digest=sha256:7609a12d8e45619b40f9eb01b8d326b2f0e4c27e2768b983a681d79cdcadf0a4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.506613Z digest=sha256:daa21ac2ee008b46b58aea7a18b16543ae4ef0fea6f1b5adb4edb3491c3d1ac2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.535455Z digest=sha256:9502feb6121f4c1fd393990577029e635e72f75a806e7e5b236e7f529d02a0df

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.570140Z digest=sha256:d4226c8494bce40415b41b356e2aba616f947688ff13e903982f9db5fb0e7b57

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.640969Z digest=sha256:eb805b8b334cfcc5559c83e1dda9e7cd16cb75c508c2cdd47da592663b045063

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.720299Z digest=sha256:22a4de28ccf05f8dab7bbc28dd2856109dee17bd0f56f129906cf748dc0c6a43

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.

source=pdf_text observed=2026-08-06T21:24:31.829845Z digest=sha256:34e2fa57a1dd679567166ea15b94c2b42ec17c560e04b2d709904d3d945c1981

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.

source=pdf_text observed=2026-08-06T21:24:31.913301Z digest=sha256:fa8a31cd0d683bc501b9c3f9935e3aef2c48a8fb4919149a24fe912a0ac7cc2d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:31.978697Z digest=sha256:c0015233d9b04e651bec284de6d9bbbb1d51505b448541bc8d2305312eb2ca8c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:32.047495Z digest=sha256:00dc7cd31cc3128765e76a1c2d068576508966db50ed9cd81d57d79c4dde9fc6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:32.114758Z digest=sha256:307048ada20e1370ef58f4c0162ff8a71378870ff05d69e53a9550ef389b57d1

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:24:32.201780Z digest=sha256:7c16049ada43db065787ecbdf5e9abe6d50c44a318521e98296fedbea064201f

Pith citing papers

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

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

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.

source=pdf_text observed=2026-08-06T21:24:26.751540Z digest=sha256:1b409b8cf4e5b76daeb046aeed685ef7d9f84b1af6239446167f9ae9a9551606

Observation 6c2b1fd6-ee47-4cc4-bac9-fcc95934d27c · inbound

The Role of Initialization in 3D Gaussian Splatting cites this paper.

The Role of Initialization in 3D Gaussian Splatting GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:25:12.385835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T07:24:49.414630Z digest=sha256:cc377a061e0f648a8afde6f3734f51f85d39da34a5555feaf0bf6e342c1352c1

Observation c1d20454-fa54-409a-9275-cd52cd5de415 · inbound

The Role of Initialization in 3D Gaussian Splatting cites this paper.

The Role of Initialization in 3D Gaussian Splatting GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T17:46:56.394489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:46:56.394489Z digest=sha256:a7dc7d246cffd9e424e5de8d07d9550a54d72a033789fdfe68aa25cbf6da8227

Observation aff33c9b-f53e-4232-b2ac-e8a09bce3b99 · inbound

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning cites this paper.

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-31T15:16:36.231359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:16:36.231359Z digest=sha256:7f51eac766bf5467160df309fef8fe9448d86aa605ee79914df4bf1515c579f2