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Paper Citation Record · LEDGER

Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.08334.

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

pith.paper-citation-record.v1
1802.08334 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:32:09.568124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:08:05.266399Z

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 50f40c82-9a15-4e64-bf7a-b32fdf9adf30 · inbound

Linear Dynamics: Clustering without identification cites this paper.

Linear Dynamics: Clustering without identification Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-14T15:32:09.568124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:32:09.568124Z digest=sha256:63e9b6ee1f7f6527eb8f52536618036655b55f0915fb19b64e9271e965cacd07

Observation a748c5fb-2f15-40d0-8b17-f50559d2183c · inbound

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction cites this paper.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:08:05.271859Z

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=2026-08-14T05:08:05.148302Z digest=sha256:4f383644f17c4d9cc7a029700512e719a538a710da9a2139a63bfb87c881471d