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Paper Citation Record · LEDGER

An Over-parameterized Exponential Regression

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2303.16504.

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

pith.paper-citation-record.v1
2303.16504 v1

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 2026-08-15T20:56:34.011514Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:11:05.734621Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 a96ab34b-7670-40ca-a477-039c14ab2a0c · inbound

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond cites this paper.

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond An Over-parameterized Exponential Regression

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T20:09:34.812967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:09:34.812967Z digest=sha256:c4507dc6808c318bd9a9abec9ef466abc1680d248f2ce38a61dd4a43c0324c19

Observation 721f505d-2174-465b-ae76-c98af4af2570 · inbound

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity cites this paper.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity An Over-parameterized Exponential Regression

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T20:02:09.388511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:02:09.388511Z digest=sha256:7435e2ba743f6e4d0cab2aa9524a16919efe20c0d63422702771e6194b8a292d

Observation 1a1a41e1-2011-46eb-a0c6-6ba73e354c58 · inbound

Numerical Pruning for Efficient Autoregressive Models cites this paper.

Numerical Pruning for Efficient Autoregressive Models An Over-parameterized Exponential Regression

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:26.978076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:26.978076Z digest=sha256:a5f3e12d092581aecd4b07439860dd9f4342bf23ab6608f9de717de2578c6345

Observation e16d36b2-d263-41b5-9fec-7704073e10b5 · inbound

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers An Over-parameterized Exponential Regression

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:39.454040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:39.454040Z digest=sha256:c136d49c47291741c25b2148b52fcefae0299c50b36bac4143d63ce94f3ab360

Observation 5d49fe6f-c0b7-44c6-b924-cc0538447dc9 · inbound

High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.

High-Order Matching for One-Step Shortcut Diffusion Models An Over-parameterized Exponential Regression

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T18:10:53.046220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:10:53.046220Z digest=sha256:9abb5707bd1afaf8337a7f34d871405125e2e7e86e6736b5403773812d0f1c83

Observation 90606bf6-ba39-428e-999f-cdf49bd7a395 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers An Over-parameterized Exponential Regression

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T16:39:14.150106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:39:14.150106Z digest=sha256:f7102d9483e978fb49a1431397f6ee42ba8688f30b962c8a98b3f4fec9adc3ca

Observation 4a250b88-9e85-4e28-804f-8ba2bd50de12 · inbound

Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform cites this paper.

Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform An Over-parameterized Exponential Regression

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T20:56:34.011514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:56:34.011514Z digest=sha256:693aa03a036f385b1c4b02e2e31e65302b941926f92420a2bba122e837b3ba36

Observation 7c72273d-d255-4923-9ff0-cf02b744c4b2 · inbound

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse An Over-parameterized Exponential Regression

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:05.853106Z

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.

source=pdf_text observed=2026-08-07T15:10:59.813587Z digest=sha256:bb71a58db31cadc7b97c5b2231ca9a11b196078f4d93b1ab77cd983327c8c19f

Observation d3f22221-91ab-49ca-a88c-251e594004ee · inbound

Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law An Over-parameterized Exponential Regression

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T14:02:56.670714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:02:56.670714Z digest=sha256:10a8da32c05c019ff25606c2314940405df34175f691d83c1d7272abe3cf6038