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Paper Citation Record · LEDGER

Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.15173.

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

pith.paper-citation-record.v1
2402.15173 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:31:42.089462Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5512ac83-5cbc-40c7-8f4b-cfb6d32aa5ec · inbound

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models cites this paper.

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T13:31:42.089462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:31:42.089462Z digest=sha256:55262031e7d74e40f06c14b536e30d4773d6861dec780139405572c8270770c2

Observation 00103b87-6418-4d0d-8473-4f11ff9abc5c · inbound

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning cites this paper.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:31.845220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:31.845220Z digest=sha256:4ea98e53ec9f83c13694fce16b7bf47888c59d3bd03fc153ad86219803fff624

Observation 94119468-7bb3-413f-ab27-45a66507df1c · inbound

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs cites this paper.

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T13:28:50.094513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:28:50.094513Z digest=sha256:121cc1e9f53e5ec12405471329a841d8cbcbe1efe63ee3af8816d5ba5c84a9cc

Observation d7309bff-d0ec-4792-9861-15c047fb8e2d · inbound

Steering the Noise: Turning Random Perturbations into Effective Descent for Memory-Efficient LLM Fine-Tuning cites this paper.

Steering the Noise: Turning Random Perturbations into Effective Descent for Memory-Efficient LLM Fine-Tuning Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T12:03:25.119547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:03:25.119547Z digest=sha256:b58e775a73e8f2929dea5ad71a8371d2f9624874820df390ec3b1b36075a3fcf

Observation c2e109e1-37a5-4189-87f1-2bf2376f47a4 · inbound

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking cites this paper.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:26:03.707597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T21:50:51.328565Z digest=sha256:dbb9b96b6c777ba69cc62f73c0a711a80dfa74b0cc61dcbe0152029aed86e3f9

Observation 7d0ebec5-cf83-4047-9c5e-f8b7a380fafc · inbound

AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments cites this paper.

AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:07.745146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T19:50:50.653184Z digest=sha256:3d4b6547bf7fd227fbce01bfd729c50adad96fa30507475d2f264ecb31b45e67

Observation f439267d-34d6-42f0-82ee-25f578d3c54e · 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 Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.958765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:18:17.478817Z digest=sha256:77c1fd48f7795425f9c7a4dfa28d031e30a02a13cadbe464e9f2ac9b94ca57a2

Observation c57d2dcb-3767-487a-8181-1868316c9ac6 · 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 Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:33:09.373796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T17:33:00.747846Z digest=sha256:8a0a9fdaedcbcd5c909a251621755feb9b473f7b0b7e16abd19e98c5d305f558

Observation dfd8f201-0660-43ea-ab80-0886fce7551f · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 170

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:17:56.432738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:c6aa4270852d351e417c88679091d49dc6d9e437ab5ace2af2f844c9b4b6f4ea

Observation 030741c6-26a0-4cfc-bf3a-21b178cc0aed · inbound

Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs cites this paper.

Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:46.984595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T06:35:46.175065Z digest=sha256:5a6ca60da5034b6ecc67dce62257a6b17c26b893a7eacbea27ddcfcb92df0cb1

Observation 126113b7-1538-492d-94c8-f048fccf6d88 · 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 Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:43.675260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T04:33:10.554853Z digest=sha256:21cf8b7986c5f5e08e714b02fa6140150dca764a08fabd64e34eb341ce71764b