Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.04267.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:30.206042Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T19:25:03.712684Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d5466dec-9b0e-4b49-a49d-2647be1c8bb5 · inbound
Provably Overwhelming Transformer Models with Designed Inputs Transformers need glasses! Information over-squashing in language tasks
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4db36c97-849e-496b-a3db-ce69159bb1f2 · inbound
What makes a good feedforward computational graph? Transformers need glasses! Information over-squashing in language tasks
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b1d5bd0-d54f-47a9-bdd1-3d3b4f9288be · inbound
You Do Not Fully Utilize Transformer's Representation Capacity Transformers need glasses! Information over-squashing in language tasks
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d29b7163-eb24-44aa-99a0-f3e072683d07 · inbound
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation Transformers need glasses! Information over-squashing in language tasks
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a733924c-106f-4655-8e8c-71c98e1a739e · inbound
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies Transformers need glasses! Information over-squashing in language tasks
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a2b9e0d-8771-4b9e-87c2-871505264879 · inbound
Position: The Future of Bayesian Prediction Is Prior-Fitted Transformers need glasses! Information over-squashing in language tasks
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e02a4989-ff5e-4b02-ad09-3f3d19d5cc95 · inbound
From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales Transformers need glasses! Information over-squashing in language tasks
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.