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Paper Citation Record · LEDGER

Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.18554.

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

pith.paper-citation-record.v1
2405.18554 v3

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:59:13.543468Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T23:59:14.103315Z

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 9fb5da04-c22e-4582-8c1c-b0e5553a13fd · inbound

Learning Ensembles of Vision-based Safety Control Filters cites this paper.

Learning Ensembles of Vision-based Safety Control Filters Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:59:14.105982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T23:59:13.543468Z digest=sha256:39d1edf25d8acb82224e5a91e38e98bd4d062844f749e1b83728777e2f6cd7e8

Observation 07dd367d-ef39-4ef0-af03-d71a55939454 · inbound

Towards General Language-Conditioned Latent Safety Filters cites this paper.

Towards General Language-Conditioned Latent Safety Filters Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-04T00:49:31.008797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:49:31.008797Z digest=sha256:48f5da0da197f0e4c839d200b5e38837eaad746695ea59d80312566e16878810