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Paper Citation Record · LEDGER

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.00665.

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

pith.paper-citation-record.v1
2206.00665 v2

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 2026-06-28T02:01:33.830178Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.458074Z

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 f880f0e6-8e6a-447d-8be8-278dc47603d3 · inbound

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction cites this paper.

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:40:23.984663Z

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=2026-05-25T04:37:47.777425Z digest=sha256:b1c8f60ea6a7f43b908f10a0955d98d455463ebd62db8ac3afca220527152dd7

Observation d6d9d577-5b22-4031-a59e-8c45c0065a81 · inbound

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars cites this paper.

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.459785Z

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=2026-06-28T02:01:33.830178Z digest=sha256:58caba916430b2fb5aceac15872d1381bb03a6f3f3ab2bbd04c4dcceac0908b9