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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:44.906774Z

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 d02d02a1-e558-4181-9abe-0b7e20bfb91c · inbound

Neural Surface Priors for Editable Gaussian Splatting cites this paper.

Neural Surface Priors for Editable Gaussian Splatting NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T11:23:56.218410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:23:56.218410Z digest=sha256:7ef8485e025261bf8514af9d1fe9f31a89d5409eab949ed42ee1aac613ba219f

Observation 2d29b06f-1428-44bd-b44c-e5638be846b6 · inbound

Surf-NeRF: Surface Regularised Neural Radiance Fields cites this paper.

Surf-NeRF: Surface Regularised Neural Radiance Fields NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T11:41:40.684417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:41:40.684417Z digest=sha256:273553450282157eabdfe2fac7d588940062dd4bdf4b1718f6ea07b04900fe3f

Observation 94ddcb4f-42cc-44a0-baaa-1a27a7df18f9 · inbound

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation cites this paper.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:48.669566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:48.669566Z digest=sha256:7bc90eb4e5ef668205a9893dd465305744ce85811b6c66f49ab68f85207d29e8

Observation 74ab747a-9da5-4768-8646-ed2b6e2494ed · inbound

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

FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:44.906774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:44.906774Z digest=sha256:edba4e9be4bf1531a03a999d2fd17caff0ec4fa566342694cd9824bb65a4d88a

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=sha256:5e61f8681924e7b52a11b9539444c3f770ebf41c980269379a4d660065ccbf1f

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

source=pdf_text observed=2026-06-28T02:01:33.830178Z digest=sha256:386c594a2d086dcb131faf59e8ab6bb8d58b21ad72e93b54ca2e039b5065499a

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

source=pdf_text observed=2026-06-27T17:23:36.637952Z digest=sha256:069480b1dcbd46b1bf8cf31181466ea9503c51cb2ff8f63d326ec32639f34f4d

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:c93c2f408230c2581317acc4dea8ec16958a31778c9e68f41e4caffc3aa10b50