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Paper Citation Record · LEDGER

Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.02956.

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

pith.paper-citation-record.v1
2306.02956 v3

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:54.881936Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:55:54.986042Z

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 41259113-27c0-4df5-bd72-9c196fdbaa97 · inbound

Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction cites this paper.

Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:54.881936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:54:54.881936Z digest=sha256:1732e8b00b448b76e469fc1413ab43318c3e79602c34d22ef0b686041633abc5

Observation b9a662ce-45fc-4e99-b556-1605eef5e139 · inbound

Disentangled Geometry and Appearance for Efficient Multi-View Surface Reconstruction and Rendering cites this paper.

Disentangled Geometry and Appearance for Efficient Multi-View Surface Reconstruction and Rendering Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:55:54.992567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-05T16:55:54.906780Z digest=sha256:e6a43648095a19d80531bfa329cef2ad4bb3c1b53c13cfb18c3cb72acffb9215