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Paper Citation Record · LEDGER

Optimality guarantees for distributed statistical estimation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1405.0782.

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

pith.paper-citation-record.v1
1405.0782 v2

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:00:33.087615Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T20:36:12.320034Z

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 b36f23df-84d3-4e5a-b9c9-e2c343993805 · inbound

RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization cites this paper.

RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization Optimality guarantees for distributed statistical estimation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T12:00:33.087615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:00:33.087615Z digest=sha256:a0517e6e9612ff88fc1fc0933a7cbadbed268efb0fb605ab3f6fceafb026791d

Observation 105e6a9e-886f-4094-8958-cd7331f746f0 · inbound

Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Reduction to Compressed Gaussian Mean Estimation cites this paper.

Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Reduction to Compressed Gaussian Mean Estimation Optimality guarantees for distributed statistical estimation

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:36:12.321742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T18:15:19.879507Z digest=sha256:61467abf73a06eb7993d08d597b2d27d982ca77246e98a31830bf269c95b1fdf