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Paper Citation Record · LEDGER

Stochastic Proximal Point Methods for Monotone Inclusions under Expected Similarity

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.14255.

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

pith.paper-citation-record.v1
2405.14255 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:23:29.107897Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:03:21.908797Z

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 df2513c5-5c76-44a5-ac11-a62dbc842953 · inbound

Tighter Performance Theory of FedExProx cites this paper.

Tighter Performance Theory of FedExProx Stochastic Proximal Point Methods for Monotone Inclusions under Expected Similarity

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:03:21.912133Z

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=arxiv_source observed=2026-05-23T18:58:32.168274Z digest=sha256:638a654fe429277854f37193bb35f6b6e65178220cf65d31c2454e7ee987a7b6

Observation 13cae131-7405-44d8-bc65-db5c94afbfdc · inbound

Variance-Reduced Fast Operator Splitting Methods for Generalized Equations cites this paper.

Variance-Reduced Fast Operator Splitting Methods for Generalized Equations Stochastic Proximal Point Methods for Monotone Inclusions under Expected Similarity

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-16T12:23:29.107897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:23:29.107897Z digest=sha256:b05ee6e553a7c31d303a8c13a8ec92ea7a1fde7e88dbc619d53187cd77033a17

Observation 39136755-0f40-4261-b61e-ef4ed62912f9 · inbound

The Stochastic Multi-Proximal Method for Nonsmooth Optimization cites this paper.

The Stochastic Multi-Proximal Method for Nonsmooth Optimization Stochastic Proximal Point Methods for Monotone Inclusions under Expected Similarity

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:56.995757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:56.995757Z digest=sha256:b33d924204845e1e6ec80a2ab59fad47937a08ae3c7609b1a2298e786b01d7bd