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Paper Citation Record · LEDGER

Sparsity Invariant CNNs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1708.06500.

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

pith.paper-citation-record.v1
1708.06500 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:19:25.661878Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T14:26:50.562683Z

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 c9d008bb-79b9-4302-9020-b74b2bcbd4e4 · inbound

Image-Guided Depth Sampling and Reconstruction cites this paper.

Image-Guided Depth Sampling and Reconstruction Sparsity Invariant CNNs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T15:19:25.661878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:19:25.661878Z digest=sha256:23b566e50642c2c169f96c84074660ce924924125bf6d29dc0848d1dc1d0e2e3

Observation 16a34f18-74e2-4ecd-a3fe-658b0b6762b0 · inbound

Enhancing self-supervised monocular depth estimation with traditional visual odometry cites this paper.

Enhancing self-supervised monocular depth estimation with traditional visual odometry Sparsity Invariant CNNs

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:26:50.568081Z

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=2026-08-14T14:26:50.500495Z digest=sha256:0f57eeca2ccb25b48153e501b706c2f58fc93d85d292f7928fd48e14db6f8a63