Pith. sign in

Paper Citation Record · LEDGER

Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.09959.

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

pith.paper-citation-record.v1
1904.09959 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 2026-08-14T12:58:19.584912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:57:49.915801Z

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 90e70802-537f-40e8-9c34-8aa6ecff9001 · inbound

Computing Linear Restrictions of Neural Networks cites this paper.

Computing Linear Restrictions of Neural Networks Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T12:58:19.584912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:58:19.584912Z digest=sha256:bd59086884c9ae5a0e5d99e2376bbeb7d25460ba18664212524cc500ced0342d

Observation 120aaeac-5024-4cee-b6f3-ddd43c384728 · inbound

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks cites this paper.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:57:49.923156Z

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=2026-08-14T12:57:49.733931Z digest=sha256:11d73016b7d120b1734efa9b2f2aed272f52e9c539754ed2696ce4f2ea3fc90c