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Paper Citation Record · LEDGER

Active learning for anti-disturbance dual control of unknown nonlinear systems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.08934.

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

pith.paper-citation-record.v1
2212.08934 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:43.898387Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:24:04.683298Z

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 db58e9fc-053d-4e9f-9ee9-280c596a11e6 · inbound

Adaptive Fault-tolerant Control of Underwater Vehicles with Thruster Failures cites this paper.

Adaptive Fault-tolerant Control of Underwater Vehicles with Thruster Failures Active learning for anti-disturbance dual control of unknown nonlinear systems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T11:17:43.898387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:43.898387Z digest=sha256:bd43fd9c5f957d7b426409bdde9106618cc8f5f36edbcd61b803082bc5fb3c2c

Observation 12ed5e16-371c-4051-9bdc-9073ea6bde43 · inbound

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning cites this paper.

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning Active learning for anti-disturbance dual control of unknown nonlinear systems

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:04.732911Z

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=pdf_text observed=2026-08-07T12:24:00.281450Z digest=sha256:3d2c9130fb0e2110433790bef1bbd159a6d892d14f2cd4a6b52da23ac480ce8c