Paper Citation Record · LEDGER

Distributionally robust minimization in meta-learning for system identification

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.18074.

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

pith.paper-citation-record.v1
2506.18074 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:29:06.514830Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy13
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ae81579-707f-4c77-bd1f-730abdf1a84f · outbound

This paper cites Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-... hook,.

Distributionally robust minimization in meta-learning for system identification Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-... hook,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:11.265560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d122814-7494-4c82-8d3d-d5cb657664e9 · outbound

This paper cites Meta- learning in neural networks: A survey,.

Distributionally robust minimization in meta-learning for system identification Meta- learning in neural networks: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:10.980089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd1b9e7d-5356-4e88-85d9-62e114963fa6 · outbound

This paper cites Meta-learning of neural state-space models using data from similar systems,.

Distributionally robust minimization in meta-learning for system identification Meta-learning of neural state-space models using data from similar systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:10.828221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa469839-bc0f-43c6-bfad-5c31ad72914a · outbound

This paper cites From system models to class models: An in-context learning paradigm,.

Distributionally robust minimization in meta-learning for system identification From system models to class models: An in-context learning paradigm,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:10.573665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 624a086d-9169-41b6-9964-0d51d9d8c1ec · outbound

This paper cites Adversarially robust few-shot learn- ing: A meta-learning approach,.

Distributionally robust minimization in meta-learning for system identification Adversarially robust few-shot learn- ing: A meta-learning approach,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:10.344842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50bdd4dd-1fe3-4ee6-8af5-e8d98b8a99e4 · outbound

This paper cites Task-robust model- agnostic meta-learning,.

Distributionally robust minimization in meta-learning for system identification Task-robust model- agnostic meta-learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:09.944752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b70eb544-7242-4f64-97a2-8fe984c58c9f · outbound

This paper cites A simple yet effective strategy to robustify the meta learning paradigm,.

Distributionally robust minimization in meta-learning for system identification A simple yet effective strategy to robustify the meta learning paradigm,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:09.624753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa566c0c-276f-46b9-85a9-2f712e85f427 · outbound

This paper cites Optimization of conditional value- at-risk,.

Distributionally robust minimization in meta-learning for system identification Optimization of conditional value- at-risk,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:09.314949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d8f3942-0047-48a8-bd7e-a9f716e728d0 · outbound

This paper cites Active learning for regression by inverse distance weighting,.

Distributionally robust minimization in meta-learning for system identification Active learning for regression by inverse distance weighting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:09.054457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5362a799-637d-4d80-a9ca-e907f178ac3e · outbound

This paper cites Frameworks and results in distribution- ally robust optimization,.

Distributionally robust minimization in meta-learning for system identification Frameworks and results in distribution- ally robust optimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:08.835916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d19a94d-6230-446a-9c63-0832282e87e4 · outbound

This paper cites Enhanced Transformer architecture for in-context learning of dynamical systems.

Distributionally robust minimization in meta-learning for system identification Enhanced Transformer architecture for in-context learning of dynamical systems

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:29:07.285074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a065eb88-f540-45dc-957d-09977733dfb0 · outbound

This paper cites GPT-4 Technical Report.

Distributionally robust minimization in meta-learning for system identification GPT-4 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:29:06.001171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86184f0-d698-4620-8759-2e3dcd17957a · outbound

This paper cites LipsFormer: Introducing Lipschitz Continuity to Vision Transformers,.

Distributionally robust minimization in meta-learning for system identification LipsFormer: Introducing Lipschitz Continuity to Vision Transformers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:08.556863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5ba9058-0441-4114-ba6f-053228cc1bb8 · outbound

This paper cites How smooth is attention?.

Distributionally robust minimization in meta-learning for system identification How smooth is attention?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:08.274755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c88fd6fc-faa5-46e8-87e4-79e63c91816e · outbound

This paper cites Three free data sets for development and benchmarking in nonlinear system identification,.

Distributionally robust minimization in meta-learning for system identification Three free data sets for development and benchmarking in nonlinear system identification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:29:07.684833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d311f207-c96c-4db0-bcd6-872853083b06 · outbound

This paper cites General-Purpose In-Context Learning by Meta-Learning Transformers.

Distributionally robust minimization in meta-learning for system identification General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:29:06.514830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.