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Paper Citation Record · LEDGER

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.17822.

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

pith.paper-citation-record.v1
2403.17822 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:14:26.548007Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:32:42.619572Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b079d839-1eb1-4a8e-910a-b116ae27b3a1 · inbound

LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting cites this paper.

LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:32:42.623296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T07:32:39.047695Z digest=sha256:17b483e31d65c535d17f04278c27f548fdced394fd62c0c05f1c80021f063ec7

Observation 53f2e3ef-4882-4a68-90a8-13e6ceb00538 · inbound

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors cites this paper.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T12:14:26.548007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:14:26.548007Z digest=sha256:2f6b804802d16ec239ece2e784b84091dacd67b0174bd90479aceda038d201b1

Observation d4fb4aae-067b-4600-8991-c8308b4d3ce7 · inbound

Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers cites this paper.

Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T00:12:17.653412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:10:15.141684Z digest=sha256:41694867ab87c52c4f831b5386c2ec90a195081e5172dcecac93dc3740e09e32

Observation 4e254ab4-11b5-4257-aec4-bd2ac78c0f8b · inbound

SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting cites this paper.

SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:09.111198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:09.111198Z digest=sha256:1dce0fca5083c0eed86a1ea19119720fb49c0a35a43b0188428af02bc3d5c924

Observation 416ca6c2-0fd7-420a-8700-db844dd844b3 · inbound

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting cites this paper.

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T14:22:13.409746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:22:13.409746Z digest=sha256:91fb0b3cc8d0cd536c38233041724b9eeb679cfb250adacf5047c0f95770e2ad

Observation f37bbc8a-752a-4a24-92b4-501a5d8cbf76 · inbound

GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction cites this paper.

GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T22:14:24.089697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:14:24.089697Z digest=sha256:466d2a5aad00f69f4b582217b1fcccaa72ab40eaee824f1e89d21037f04befc5

Observation 70183d25-dca0-4a20-a6de-7759bc77e5eb · inbound

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation cites this paper.

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T17:59:47.364375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:59:47.364375Z digest=sha256:203c93f13f558c6b1ba8b7ea4c426b3663513634221edfb7a13ec1ce7740f47f

Observation 70e7be0e-fc68-43d8-9191-8708196d7277 · inbound

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction cites this paper.

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 238

Resolution
unresolved
no resolver link, observed 2026-08-05T12:10:09.540730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:10:09.540730Z digest=sha256:8afbcaf99761110e0d1792eda357dffcdd3c3a33abe5b11e145f8f053dffc721

Observation 29145a68-5284-4454-83be-397286d76fec · inbound

Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering cites this paper.

Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-04T09:48:50.198550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:48:50.198550Z digest=sha256:786769924ed1dbc6a467f0d67f089bab7b3d038206244ce39ac46fd64355e833

Observation bdd9f423-49d6-465e-be9c-4f0cb1698b46 · inbound

PanoLess: Environment Reconstruction from Partial Reflective Views cites this paper.

PanoLess: Environment Reconstruction from Partial Reflective Views DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T02:43:09.892070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:43:09.892070Z digest=sha256:7c1f9224b8a0f1534fac10d0d6c0588c9a758d35d3d71df8465237187ea93f33