Paper Citation Record · LEDGER

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.20938.

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

pith.paper-citation-record.v1
2504.20938 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:40:01.662137Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c39b9499-16e6-4950-b3df-ba9b0e5c3b20 · inbound

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping cites this paper.

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T15:35:32.846244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5ce9711-390c-4319-9681-f6ab24dbc286 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:28.658104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d84dd86-ebbf-4ee0-b0c9-3a182183b521 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:59:45.258995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 328a9f07-b921-4320-8a41-b73b6a33b28c · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:32:46.682964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0531adb-c723-4a4c-aa41-e2b524fd2c5b · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T10:39:48.151675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b28670-8a8f-4615-a2f0-4485e8e3997d · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:01.662137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.