Paper Citation Record · LEDGER

How Transformers Get Rich: Approximation and Dynamics Analysis

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.11474.

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

pith.paper-citation-record.v1
2410.11474 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:10:29.939468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.021694Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 95f6278a-07d2-4987-aa4e-a0012191af94 · inbound

KV Shifting Attention Enhances Language Modeling cites this paper.

KV Shifting Attention Enhances Language Modeling How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T10:10:29.939468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26249c99-a298-4db3-be81-cc6fb5aae8bd · inbound

Training Dynamics of In-Context Learning in Linear Attention cites this paper.

Training Dynamics of In-Context Learning in Linear Attention How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.133732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e86347a4-52b2-4b0b-b888-38fbdd3e9914 · inbound

Provable Low-Frequency Bias of In-Context Learning of Representations cites this paper.

Provable Low-Frequency Bias of In-Context Learning of Representations How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:37:03.512234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e600c54-8f07-40bd-bf6f-c1db13a9dbd1 · inbound

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability cites this paper.

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:20:52.700106Z

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 e79b6829-fe16-4969-ac22-6b4b5b7503b2 · inbound

Why Muon Outperforms Adam: A Curvature Perspective cites this paper.

Why Muon Outperforms Adam: A Curvature Perspective How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:45.020573Z

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 4fbb5b7c-2d6b-4f83-951b-35a53505ab36 · inbound

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence cites this paper.

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:18:13.083937Z

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 a870090c-9c25-4094-bcbe-e10a9c8160ce · inbound

Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model cites this paper.

Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:39:05.186239Z

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 794a5b5d-e100-4117-adb7-c6ac245eca7b · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.023182Z

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 021d6d9d-87b4-4e06-9406-f26597643ef0 · inbound

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D cites this paper.

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T21:30:59.304489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.