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Paper Citation Record · LEDGER

In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.12293.

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

pith.paper-citation-record.v1
2409.12293 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:33:35.954386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:46.048196Z

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 79c13986-8394-4593-9150-bf46538b97e0 · inbound

Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.

Transformers Meet In-Context Learning: A Universal Approximation Theory In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:35.954386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:33:35.954386Z digest=sha256:3f618ff32529e59af447e7bee4b85852ff1bc5ac56e9d3da7ff001caab5c6ce0

Observation cfedd76d-649d-4610-9742-826180e613b2 · inbound

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods cites this paper.

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.772296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T00:36:47.002107Z digest=sha256:e2013802b6164e55cfacef9d3e8d91b1c5e6a76faa4784410a5836aecf162ca4

Observation be79cec4-9035-4fab-8f7e-e2fd6b5779db · inbound

Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer cites this paper.

Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:08.433053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:26:09.066390Z digest=sha256:1a332f72d1ccbda4a79f3bf284c645d755bda75908e4daacf1868e16d47330e2

Observation d121457f-cf90-4ca1-973b-4785707a8a97 · inbound

Harness In-Context Operator Learning with Chain of Operators cites this paper.

Harness In-Context Operator Learning with Chain of Operators In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:17:46.050638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:45:40.188341Z digest=sha256:ba1d6d5d7356deb24a9ae827afd579ccbcab68663e8b497d3a49b78efb2c44a2