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Paper Citation Record · LEDGER

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.09823.

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

pith.paper-citation-record.v1
2410.09823 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:49.001777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:30:19.652081Z

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 ccf275d2-8c12-401d-a93b-52688f3993e9 · inbound

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization cites this paper.

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:49.001777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:49.001777Z digest=sha256:e200fd58dfd2295c0f505e33484aa4a1bf236dfdc59c4e552ce864c7291878fa

Observation 456753c3-4502-4e94-b274-519c84796e2f · inbound

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling cites this paper.

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:30:19.653786Z

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=2026-05-10T04:51:12.358148Z digest=sha256:b5b1439f0ccfd618c068014920c0e14cc8bb0e4baa7150566649d8e7791f4e42