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Paper Citation Record · LEDGER

Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.00881.

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

pith.paper-citation-record.v1
2503.00881 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:28.785065Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:29:57.153136Z

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 936425ab-eead-49e9-ad26-bd7389bd3f02 · inbound

Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs cites this paper.

Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T12:18:28.785065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:18:28.785065Z digest=sha256:ab877e836b1d6f082dc93bb7ea207c3d4aa59b62a1a25204da2857d6531d22e6

Observation 29396dc9-007d-4eaf-b2e8-fa95ff350c92 · inbound

OmniIndoor3D: Comprehensive Indoor 3D Reconstruction cites this paper.

OmniIndoor3D: Comprehensive Indoor 3D Reconstruction Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:21.072644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:56:21.072644Z digest=sha256:996799f606d151cdc0c32dd5622b8e2bd419975ac239cfc5c72996a3c7b7ff56

Observation 2c45fac4-b4a7-4ce1-8ca3-45c8307f9101 · inbound

DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion cites this paper.

DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:27:08.088819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:27:08.088819Z digest=sha256:2051fd633a337cc73ee197ec42e5ecb1e05343befd5b8a7e155dc19addb461a3

Observation 89501a4e-e808-437a-8feb-c06d3d0eddac · inbound

Seg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image Collections cites this paper.

Seg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image Collections Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:49.632469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:49.632469Z digest=sha256:43b6018653fb6f4106238daf0d19aa479b9ab17df09417a9aeab6a41f9d8d3a5

Observation 203db771-f7d4-430d-aad8-bfb252a7cc01 · inbound

XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding cites this paper.

XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:29:57.157969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:29:56.120145Z digest=sha256:ba62e43b216447ff76d124d28385d74e885a16116e558c91be66c5fa79a317d7