Paper Citation Record · LEDGER

Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.02579.

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

pith.paper-citation-record.v1
2403.02579 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:05:00.970224Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:58:22.008898Z

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 45d65e66-54e7-4d67-a771-1c01e66d1b2a · inbound

Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation cites this paper.

Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:44:32.184624Z

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 2e3fae44-e889-45c2-ac57-1e1517f784b5 · inbound

Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs cites this paper.

Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:59:36.848800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17465e48-62c3-4130-a215-f56782bdcdb2 · inbound

Attention's forward pass and Frank-Wolfe cites this paper.

Attention's forward pass and Frank-Wolfe Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:05:00.970224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b365de0-58cb-4a80-8899-ab625227a689 · inbound

Critical attention scaling in long-context transformers cites this paper.

Critical attention scaling in long-context transformers Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T11:23:28.474637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09627a6-1d7f-4895-afee-e47c403c04b4 · inbound

A Unified Framework for Critical Scaling of Inverse Temperature in Self-Attention cites this paper.

A Unified Framework for Critical Scaling of Inverse Temperature in Self-Attention Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:57:53.483751Z

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 c49d2b24-74b1-4b73-9d82-9192eb860e96 · inbound

Quantizing Time-Series Models As Dynamical Systems: Trajectory-Based Quantization Sensitivity Score cites this paper.

Quantizing Time-Series Models As Dynamical Systems: Trajectory-Based Quantization Sensitivity Score Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:22.010623Z

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.