Paper Citation Record · LEDGER

Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.08080.

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

pith.paper-citation-record.v1
2404.08080 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 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:19:21.586164Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:43.678956Z

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 f0eebf04-6407-49fc-a7c4-6ac2cd92c98b · inbound

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:52:41.152922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33e937da-2f92-4758-95a1-85b43fec2d25 · inbound

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:42.876578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1314a47a-5f87-404e-9c82-969adf40c275 · inbound

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:33:09.420739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33c6d116-37e8-4f3b-b9ac-1fa2fa7f43df · inbound

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered cites this paper.

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:23:44.510194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f7cafd0-0d0b-46f6-85a9-6dbb173bfc19 · inbound

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning cites this paper.

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:08:43.680445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31ffbb29-d815-4946-af5d-c57eb0a8cfe3 · inbound

Accelerated Stochastic Zeroth-Order Quasar-Convex Optimization cites this paper.

Accelerated Stochastic Zeroth-Order Quasar-Convex Optimization Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:19:21.586164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.