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Paper Citation Record · LEDGER

Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:11:41.763940Z

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

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  • verified fuzzy0
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  • 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 042d2b6a-8e72-4c2e-bde1-5dbf9f69852d · inbound

The Geometry of Tokens in Internal Representations of Large Language Models cites this paper.

The Geometry of Tokens in Internal Representations of Large Language Models Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:11:41.763940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:11:41.763940Z digest=sha256:0cd7324bf3fbf2659795f6c42af67c2d7e116cacfeed4b430b09ae64ad13a2d1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T02:42:34.938163Z digest=sha256:cef3b9c78937a6f5edc8e3ecbcb7749621e5214630df3994e59bd8e7e1852d62

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.

source=pdf_text observed=2026-08-05T20:59:36.848800Z digest=sha256:595799067ba78dcff488ac25c8e5ffea23e16bfc25a9b5ccd2939644fdfa4dc4

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.

source=pdf_text observed=2026-08-05T21:05:00.970224Z digest=sha256:f2ab96f4cb3306f783e9f820bfee6733493572600de227b88e357879ec210637

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.

source=pdf_text observed=2026-08-04T11:23:28.474637Z digest=sha256:c164d5f324fefb0504bef2d75898252f39ed2c3c7fc9c3152807ff5ae25f33d3

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-14T19:56:02.462786Z digest=sha256:e475c9c64abcfb439d1cebb3b67dae25ef9bcf3d498fd6c34d84775bfc4c4680

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T07:21:21.103554Z digest=sha256:f565e4be2e400ac0bb8aa03245a312941c8bd3dc55c3e7e755cb7a5f8a56b6f1