Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2409.04431.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:46:59.381114Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:17:24.595834Z
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 4c4a8870-83d9-4669-b8e3-f76ba36b05fd · inbound
When Attention Sink Emerges in Language Models: An Empirical View cites this paper.
When Attention Sink Emerges in Language Models: An Empirical View Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 42
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T17:41:03.735502Z
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.
Observation c125d649-43ce-4369-910f-d547675c7ca4 · inbound
Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization cites this paper.
Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:46:59.381114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2737a320-d6ae-4494-b67f-3d9d3bf4cc1d · 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 Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:10:19.778678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffc2af75-1f8e-4578-b29a-6f39eeb387ac · inbound
Scaling Context Requires Rethinking Attention cites this paper.
Scaling Context Requires Rethinking Attention Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:00:43.782864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b93fb8e-4c74-4dcb-aca6-d41795f98465 · inbound
Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations cites this paper.
Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:39:10.426250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e38e9aa0-9fda-4b27-abae-cde295d70edc · inbound
Capacity-Controlled Global Attention for Graph Transformers cites this paper.
Capacity-Controlled Global Attention for Graph Transformers Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:31:30.767360Z
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.
Observation f86867b3-92f9-4a80-a47b-29f35ab9a31c · inbound
Cubit: Token Mixer with Kernel Ridge Regression cites this paper.
Cubit: Token Mixer with Kernel Ridge Regression Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:06:10.787346Z
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.
Observation b7950fc4-5026-4447-862f-bced4a513992 · inbound
Cubit: Token Mixer with Kernel Ridge Regression cites this paper.
Cubit: Token Mixer with Kernel Ridge Regression Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T22:39:11.009258Z
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.
Observation a8f9fc8d-b472-4959-8fea-6820f08824cb · inbound
The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity cites this paper.
The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:21:08.516991Z
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.
Observation b1fd8067-78c2-4245-94e1-f0862b4855c7 · inbound
A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models cites this paper.
A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:36:40.797845Z
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.
Observation 2ae133e3-518a-4b55-8959-1c2719b83d1e · inbound
A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models cites this paper.
A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:19:29.111658Z
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.
Observation d20d30e7-4356-401e-b839-9e29cde7c142 · inbound
Complex-Valued Phase-Coherent Transformer cites this paper.
Complex-Valued Phase-Coherent Transformer Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:16:28.147412Z
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.
Observation d057774a-4e16-460f-8f77-6f7cac95eb0f · inbound
Complex-Valued Phase-Coherent Transformer cites this paper.
Complex-Valued Phase-Coherent Transformer Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:31:47.302932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d1e8f8-de0a-4812-82f2-b7527e32b3e9 · inbound
Most Transformer Modifications Still Do Not Transfer at 1-3B: A 2020-2026 Update to Narang et al. (2021) with Downstream Evaluation and a Noise Floor cites this paper.
Most Transformer Modifications Still Do Not Transfer at 1-3B: A 2020-2026 Update to Narang et al. (2021) with Downstream Evaluation and a Noise Floor Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:19:42.072047Z
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.
Observation 830e1fcf-1c26-46f4-8683-29111e1fc631 · inbound
Towards Understanding Self-Pretraining for Sequence Classification cites this paper.
Towards Understanding Self-Pretraining for Sequence Classification Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 178
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:33:58.908338Z
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.
Observation 9c37073b-4edb-41c7-8e1f-4e2442124a49 · inbound
Forget Attention: Importance-Aware Attention Is All You Need cites this paper.
Forget Attention: Importance-Aware Attention Is All You Need Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.024853Z
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.
Observation a2f19bb8-9c0a-4305-87cd-56ab4aabf127 · inbound
A Unifying View of Attention Sinks: Two Algorithms, Two Solutions cites this paper.
A Unifying View of Attention Sinks: Two Algorithms, Two Solutions Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:17:24.597286Z
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.
Observation b4ea3e01-b25e-48db-861b-8dc620cab92f · inbound
Legible-by-Construction: Attention and End-to-End Transformers cites this paper.
Legible-by-Construction: Attention and End-to-End Transformers Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:06:55.102341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.