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Paper Citation Record · LEDGER

Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.02230.

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

pith.paper-citation-record.v1
2503.02230 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:18.067778Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:14:19.451145Z

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 d96122da-3ad9-4fc3-b413-5b78c0267fda · inbound

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges cites this paper.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.454538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:14:18.067778Z digest=sha256:5592bb093cd8fa31f6a2d23bec0b515019bbea37997a7ea0ad72c3e4f2a1f420

Observation 4b672312-ed94-478b-820a-0e03a37ccd6e · inbound

AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling cites this paper.

AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views

Reference 67

Resolution
unresolved
no resolver link, observed 2026-07-14T07:47:48.759404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:47:48.759404Z digest=sha256:ffb0d5370d843bba98bbce94e723fcea0e31695b1d959947f3dd20f143fbc870