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Paper Citation Record · LEDGER

SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1708.01749.

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

pith.paper-citation-record.v1
1708.01749 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:48:39.155001Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:56:38.425639Z

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 05875d11-c959-463b-affa-4bdc7907af41 · inbound

Point-Based Multi-View Stereo Network cites this paper.

Point-Based Multi-View Stereo Network SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T13:48:39.155001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.155001Z digest=sha256:c5ea661c2d721b1f46c132cc0034e5f48ee5cd4c27b531591b5af2ee02addb8f

Observation 6d84e3c9-f82b-4255-aedc-a4b9c36f361b · inbound

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals cites this paper.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:56:38.441017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:56:37.905011Z digest=sha256:97dc2971bb800bdd65a45a09ffdc0344c855e7067fd6259f4ecc42429134751a