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Paper Citation Record · LEDGER

Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06893.

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

pith.paper-citation-record.v1
2406.06893 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:10:20.984325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:42:49.973348Z

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 30eb5080-6990-49a8-882f-2efd1e737368 · 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 Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:20.984325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:20.984325Z digest=sha256:21f4a1a1ea514ad1e7b5bf0df87cf3245a78151084fa8ddd08592ca1516dfdb9

Observation 41383a2c-2975-48be-a395-10d3d41b5749 · inbound

Agentic Transformers Provably Learn to Search via Reinforcement Learning cites this paper.

Agentic Transformers Provably Learn to Search via Reinforcement Learning Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:42:49.974654Z

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.

source=arxiv_source observed=2026-06-28T23:26:28.158991Z digest=sha256:342949b6b6aeee971c0bec6403e380022ce74ca4edf6c8cac430d6c0883587b2