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Paper Citation Record · LEDGER

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:45.126953Z

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 c9c13d33-b534-4965-a4a2-ba5553f48acf · inbound

Neural 4D Evolution under Large Topological Changes from 2D Images cites this paper.

Neural 4D Evolution under Large Topological Changes from 2D Images MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T14:41:10.602061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:41:10.602061Z digest=sha256:dad1ce8cb5a96a34065e338f1da3ab3bddd7013a654b56e9d26ccfe26e2ddfc8

Observation 3133a4b8-5ac3-47a6-bae6-d27536392245 · inbound

JOG3R: Towards 3D-Consistent Video Generators cites this paper.

JOG3R: Towards 3D-Consistent Video Generators MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:39.126174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:39.126174Z digest=sha256:bab007d52e702053b6ad314218e62968f1c933b9bff5ded3902bc1fe8a8f641b

Observation 0ee6abb0-4c65-428b-be1e-f447a44c560d · inbound

FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations cites this paper.

FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:45.126953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:45.126953Z digest=sha256:478e5710d31cd9523f8645e5e3cffbb1368a8a4be7a616a4f2ea5e8525389bbb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T04:37:47.777425Z digest=sha256:d4e625cf72e10497f0213194cc8a3f11363b95c21c3a9f0aaeb8585c2dd685ad

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T02:01:33.830178Z digest=sha256:d6b0550be3c400eb18e9f309d622b66ea28bc3187d4c921ad95bf03f1b7551cf