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Paper Citation Record · LEDGER

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.05231.

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

pith.paper-citation-record.v1
2212.05231 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:46:01.179276Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f14112be-f40c-4399-a101-45b510933894 · inbound

Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering cites this paper.

Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:01.179276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:01.179276Z digest=sha256:acde55a696342daa37a8968d8f5ece572b09a733c3b1503135168b522c3f9957

Observation 10e52681-d106-403b-9b84-425dee8f032c · inbound

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

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.693898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T02:01:33.830178Z digest=sha256:986ce7959f3a78565a3045bc7f0d447560afadee338425ac1e5c522c96344db9

Observation 0a5420ec-6e31-44ba-b821-d8b418bb6fe9 · inbound

SOMA: From Surface Observations to Muscle Anatomy cites this paper.

SOMA: From Surface Observations to Muscle Anatomy NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-27T17:31:07.185700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T17:23:36.637952Z digest=sha256:b7d0104dba7934c3a3c9db44f69bb17b7830b386831bce4e3f3c55c36b4a126e

Observation 9f5131b0-3dca-4965-80f0-dce21de24476 · inbound

SOMA: From Surface Observations to Muscle Anatomy cites this paper.

SOMA: From Surface Observations to Muscle Anatomy NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T12:04:39.742952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:04:39.742952Z digest=sha256:096a5f2f1898a8c5bea8f286b7cfe84eec8227d66f5f027d7798cb320d6dcdb4