Paper Citation Record · LEDGER

Transformers Learn Low Sensitivity Functions: Investigations and Implications

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.06925.

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

pith.paper-citation-record.v1
2403.06925 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:01.743928Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:56:13.759343Z

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 595b73b5-7fae-49f6-895d-3b764859bc8a · inbound

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions cites this paper.

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions Transformers Learn Low Sensitivity Functions: Investigations and Implications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:01.743928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed64c64-710d-4328-9bac-ff917bf9064d · inbound

Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently cites this paper.

Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently Transformers Learn Low Sensitivity Functions: Investigations and Implications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T20:57:12.521254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e7684b9-5b50-47f3-82a5-cc6542f5951d · inbound

From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales cites this paper.

From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales Transformers Learn Low Sensitivity Functions: Investigations and Implications

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:56:13.780898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8cf15132-bce1-44df-ae15-86398c9fcba8 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Transformers Learn Low Sensitivity Functions: Investigations and Implications

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T17:31:50.156186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.