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Paper Citation Record · LEDGER

Cautious optimization via data informativity

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.10232.

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

pith.paper-citation-record.v1
2307.10232 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:44:29.834428Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:05:36.711005Z

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 b3c6c61f-3b95-4dcc-ae4a-14c3084a26a4 · inbound

Data-driven Internal Model Control for Output Regulation cites this paper.

Data-driven Internal Model Control for Output Regulation Cautious optimization via data informativity

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T21:44:29.834428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:44:29.834428Z digest=sha256:2e2dc39f0d1361000310fe0420aa296b4c3e04dd78e542208b6b9bdfc404c225

Observation 1c9bb60f-c973-45e8-80b5-2f7089f23eda · inbound

Neural network based control of unknown nonlinear systems via contraction analysis cites this paper.

Neural network based control of unknown nonlinear systems via contraction analysis Cautious optimization via data informativity

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:05:36.768421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:05:35.236607Z digest=sha256:d77861f62d6c3ef6803cd92b6a2a451c0220ccb7ec08e8ea906b6424183e16e2