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Paper Citation Record · LEDGER

Incentive Mechanism Design for Distributed Coded Machine Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2012.08715.

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

pith.paper-citation-record.v1
2012.08715 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:33.279085Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:27:33.754505Z

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 cc7e3458-4c03-40c2-aabf-a92480c54470 · inbound

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation cites this paper.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Incentive Mechanism Design for Distributed Coded Machine Learning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:27:33.759349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:33.279085Z digest=sha256:62eefe4566c748ff64490bfc12862fe5074d4a8c10dd9bfdad7b1d36dde02cee