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Paper Citation Record · LEDGER

MVSNet: Depth Inference for Unstructured Multi-view Stereo

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.02505.

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

pith.paper-citation-record.v1
1804.02505 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T19:36:50.663917Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T19:40:32.802846Z

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 ec788947-e836-4041-b2fd-26a5ea89d850 · inbound

SonarSweep: Fusing Sonar and Vision for Robust 3D Reconstruction via Plane Sweeping cites this paper.

SonarSweep: Fusing Sonar and Vision for Robust 3D Reconstruction via Plane Sweeping MVSNet: Depth Inference for Unstructured Multi-view Stereo

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-21T19:40:32.804883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T19:36:50.663917Z digest=sha256:3ba375ad4b7151c8428fac62dd0b95084726e57596e93b9bb058a7a07150b665

Observation 2b69f3d3-3b40-46dc-aebc-abd3ede1c858 · inbound

Efficient 3D Content Reconstruction and Generation cites this paper.

Efficient 3D Content Reconstruction and Generation MVSNet: Depth Inference for Unstructured Multi-view Stereo

Reference 296

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:43:15.499229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T11:38:48.194538Z digest=sha256:e6d57bd37ec38e880af7ea32d345d4fe73de553e68ee241ac3d3d7a06c2fcae2