Paper Citation Record · LEDGER

Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.16620.

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

pith.paper-citation-record.v1
2309.16620 v2

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 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:01:59.842207Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:00:43.286355Z

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 b4fc21cb-ea38-4af4-afab-63a2f63c7b5e · inbound

Optimal Embedding Learning Rate in LLMs: The Effect of Vocabulary Size cites this paper.

Optimal Embedding Learning Rate in LLMs: The Effect of Vocabulary Size Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:54:42.450340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5eee10-f120-4418-be25-ed004d944912 · inbound

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks cites this paper.

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:49.634542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b43db33-faff-4cf6-95fc-94e02262e82f · inbound

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.869255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c185a7-48f6-4117-9798-1eb8a2a2cf89 · inbound

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size cites this paper.

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:01:59.842207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d6e3a6-60ec-4bec-98bc-a4a1789fa9ad · inbound

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model cites this paper.

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:00:43.288163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a83de6b2-e81e-42ef-86e2-07dee3714b8e · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:21:09.168848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68bcd095-042b-47ed-a5ca-ab7bc458c5f6 · inbound

DeepLoop: Depth Scaling for Looped Transformers cites this paper.

DeepLoop: Depth Scaling for Looped Transformers Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T05:05:25.062788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.