Paper Citation Record · LEDGER

DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2310.02025.

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

pith.paper-citation-record.v1
2310.02025 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:06:57.325164Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:35:28.902200Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 999136bf-ef32-42c3-bd2c-bff9bebed953 · inbound

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection cites this paper.

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T12:41:58.184486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41fa1cc3-68f3-4877-b692-15cd6e068a0b · inbound

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think cites this paper.

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:42.367902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5de5e02-559a-4b04-866f-e78b4187990d · inbound

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients cites this paper.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:14:14.229341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b40dc8-cfa9-44f4-82a0-b14ea6a8f9a3 · inbound

Scaling of hardware-compatible perturbative training algorithms cites this paper.

Scaling of hardware-compatible perturbative training algorithms DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T14:26:25.959322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f213c424-941a-4efc-8de9-9b3a3693ee38 · inbound

TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs cites this paper.

TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:29.653469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7946f71a-aaab-4571-b2cc-a56abb44e456 · inbound

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks cites this paper.

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T06:06:57.325164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 977b89b3-1b0d-42b5-a137-606f9053807d · inbound

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning cites this paper.

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:07.641230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0fe944-2af5-434c-858a-b24577297bc0 · 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 DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.779580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907f690d-1cb6-4ab3-a765-b11bfd38bbc0 · inbound

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps cites this paper.

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:24:06.186946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c03a571-4072-4ece-9fa7-e8be4a1c272f · inbound

PLA: Prompt Learning Attack against Text-to-Image Generative Models cites this paper.

PLA: Prompt Learning Attack against Text-to-Image Generative Models DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.015546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db565dd3-89ec-445b-af5e-82335d74e6ae · inbound

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers cites this paper.

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:26:33.674901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2f8a483-db03-4867-86ee-6c01787f4a97 · inbound

AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning cites this paper.

AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:28.905831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cc832f0-051a-4c04-9e6e-bdf50d7544fd · 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 DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:07.633995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.