Paper Citation Record · LEDGER

Gradient Descent Methods for Regularized Optimization

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.20115.

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

pith.paper-citation-record.v1
2412.20115 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:37:08.525015Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact4
verified fuzzy2
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cc8f341-4feb-42f1-bfc2-68199efcc84c · outbound

This paper cites Beck, First-Order Optimization Methods , MOS-SIAM Series on Optimiza- tion, Society for Industrial and Applied Mathematics, Philadelphia, 2 017.

Gradient Descent Methods for Regularized Optimization Beck, First-Order Optimization Methods , MOS-SIAM Series on Optimiza- tion, Society for Industrial and Applied Mathematics, Philadelphia, 2 017

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.431622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d65bf6-cc3f-4ca8-ba4a-a8ed5759aacc · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:37:09.504425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64a0d2b9-1616-4354-93f4-540437595bda · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:37:09.494903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fcbf0c65-2327-4941-bd04-a6df34f785ca · outbound

This paper cites Dimovski and I.

Gradient Descent Methods for Regularized Optimization Dimovski and I

Reference 4

Resolution: verified exact; doi, observed 2026-08-10T23:37:08.638084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 85c84daa-341a-41ec-b39e-1818e537d70b · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.447490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329458dd-eff6-4609-a62c-b5338f4535fc · outbound

This paper cites G¨ artner and M.

Gradient Descent Methods for Regularized Optimization G¨ artner and M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:37:09.484933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b458e543-7e4d-4de6-bfc9-ce9c18480277 · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.454756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ea24b5-47e0-4242-8816-694cf8811866 · outbound

This paper cites Hsu, Identifying key variables and interactions in statistical m odels of building energy consumption using regularization, Elsevier Energy , 83 (2015), pp.

Gradient Descent Methods for Regularized Optimization Hsu, Identifying key variables and interactions in statistical m odels of building energy consumption using regularization, Elsevier Energy , 83 (2015), pp

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T23:37:08.628538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d8be38c-9092-415a-b4ce-9d497472a801 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Gradient Descent Methods for Regularized Optimization Adam: A Method for Stochastic Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.462596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6542bdb8-b30b-4553-b53e-c3f3168f4bc9 · outbound

This paper cites Khalajmehrabadi, N.

Gradient Descent Methods for Regularized Optimization Khalajmehrabadi, N

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T23:37:09.298347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a543400e-ef74-45d0-a8e2-38b6664c04d9 · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-10T23:37:08.607693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99e51ccf-bf78-4b3d-8324-df7c8c004fb7 · outbound

This paper cites Adaptive Gradient Descent without Descent.

Gradient Descent Methods for Regularized Optimization Adaptive Gradient Descent without Descent

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.474066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b844b0ab-f210-4b6a-addd-ab0aed682511 · outbound

This paper cites Muthukrishnan and R.

Gradient Descent Methods for Regularized Optimization Muthukrishnan and R

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T23:37:09.221739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d848283d-db06-49f2-8546-de00e1e6500b · outbound

This paper cites Nesterov, Lectures on Convex Optimization (2nd edition) , Springer Optimization and Its Applications (137), Springer, Berlin, 2010.

Gradient Descent Methods for Regularized Optimization Nesterov, Lectures on Convex Optimization (2nd edition) , Springer Optimization and Its Applications (137), Springer, Berlin, 2010

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.481140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb7c38df-349b-468b-8c36-b270b7acb6ac · outbound

This paper cites Nocedal and S.

Gradient Descent Methods for Regularized Optimization Nocedal and S

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.484631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c63e04-6b05-4bd7-8126-29c6243c9de7 · outbound

This paper cites Parikh and S.

Gradient Descent Methods for Regularized Optimization Parikh and S

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.489192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 990d2dfb-a030-4bc4-8f92-536adc578ce6 · outbound

This paper cites Roth, The generalized LASSO, IEEE Transactions on Neural Networks , 15 (1) (2004), pp.

Gradient Descent Methods for Regularized Optimization Roth, The generalized LASSO, IEEE Transactions on Neural Networks , 15 (1) (2004), pp

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T23:37:09.149277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60aae9d0-3a79-4142-9630-3ea934aca474 · outbound

This paper cites Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society Series B: Statistical Methodology , 58 (1) (1996), pp.

Gradient Descent Methods for Regularized Optimization Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society Series B: Statistical Methodology , 58 (1) (1996), pp

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.496312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed647ea4-8af4-4a52-ba8c-010fd4fdc01c · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:37:09.474765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5d2f677-9a02-4fab-9132-256036eb1d65 · outbound

This paper cites Schmitt, House sale prices for King County, version 2.0 [data set] (2019), acc‘essed November 2024.

Gradient Descent Methods for Regularized Optimization Schmitt, House sale prices for King County, version 2.0 [data set] (2019), acc‘essed November 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:37:09.464437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f0d8344-48e6-4629-8415-7f99c8406f53 · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T23:37:08.565414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1743b62-3956-4ef4-af01-e91b280328c7 · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.510896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6e24ed-19b9-4ea6-b82e-8955095615a6 · outbound

This paper cites Zhang, J.

Gradient Descent Methods for Regularized Optimization Zhang, J

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.514440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae47bee-ed33-4996-8140-8424560155b9 · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.517884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3e7b4a-e763-4cfc-b8f9-77a13b6b23bb · outbound

This paper cites an unresolved cited work.

Gradient Descent Methods for Regularized Optimization Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:37:08.521411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a645a60d-c283-4621-976b-dff1fb1aa8eb · outbound

This paper cites Zou and L.

Gradient Descent Methods for Regularized Optimization Zou and L

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T23:37:08.753691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.