Paper Citation Record · LEDGER

Transformers are Expressive, But Are They Expressive Enough for Regression?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.15478.

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

pith.paper-citation-record.v1
2402.15478 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 2026-08-07T20:21:58.324930Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:30:23.822706Z

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 454faff0-25c8-4b9f-9596-51d20a5026ff · inbound

Solving Empirical Bayes via Transformers cites this paper.

Solving Empirical Bayes via Transformers Transformers are Expressive, But Are They Expressive Enough for Regression?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T20:21:58.324930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eccb2b48-c5b2-4ff5-abaa-3473c20fd9ba · inbound

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Transformers are Expressive, But Are They Expressive Enough for Regression?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T06:10:19.708151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab8d81bc-eece-4e7d-b469-df40e6e0b259 · inbound

Geometric Capacity of Transformers: A Tropical Geometry Perspective cites this paper.

Geometric Capacity of Transformers: A Tropical Geometry Perspective Transformers are Expressive, But Are They Expressive Enough for Regression?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:30:23.824515Z

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.

Observation 56160c9c-1bd4-492d-978b-bbb23c034dca · inbound

Geometric Capacity of Transformers: A Tropical Geometry Perspective cites this paper.

Geometric Capacity of Transformers: A Tropical Geometry Perspective Transformers are Expressive, But Are They Expressive Enough for Regression?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T16:19:09.015843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.