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Paper Citation Record · LEDGER

Homogeneous Linear Inequality Constraints for Neural Network Activations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.01785.

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

pith.paper-citation-record.v1
1902.01785 v4

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:04.321504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T03:37:13.748745Z

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 0dd22fd7-77b4-411c-b71d-766724ca359f · inbound

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach cites this paper.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Homogeneous Linear Inequality Constraints for Neural Network Activations

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:04.321504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:04.321504Z digest=sha256:47f5ace34d4172f935acaa1139b6bd90bbcd9d71f948c81f0e9f892aa979419d

Observation 801127f0-aca5-44ad-a0cd-0076d7b77833 · inbound

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints cites this paper.

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints Homogeneous Linear Inequality Constraints for Neural Network Activations

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:37:13.752645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T03:36:12.749864Z digest=sha256:eedafce08a126929e7240f0196339e7b1656796faae112b87ffcb8e43c801c94