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Paper Citation Record · LEDGER

Learning linear dynamical systems under convex constraints

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.15121.

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

pith.paper-citation-record.v1
2303.15121 v5

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:49:04.012306Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 b59fa29b-0ffe-437c-bf12-d5305557e2e8 · inbound

Joint learning of a network of linear dynamical systems via total variation penalization cites this paper.

Joint learning of a network of linear dynamical systems via total variation penalization Learning linear dynamical systems under convex constraints

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T20:49:04.012306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:49:04.012306Z digest=sha256:e6bb74055b58882a3d3ade581f9c56baa7dd89524eef0a2ce4141b1aec8486d3

Observation dbb38aab-2848-40eb-b0a4-dcbcf7b62dd2 · inbound

Symmetric Linear Dynamical Systems are Learnable from Few Observations cites this paper.

Symmetric Linear Dynamical Systems are Learnable from Few Observations Learning linear dynamical systems under convex constraints

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T18:34:56.135450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:34:56.135450Z digest=sha256:d64f82bcdc6dbe17af521fbdfa633f7fe07ba0a2c3881a21c81198086ca3ee5f