Pith. sign in

Paper Citation Record · LEDGER

Pushing the Complexity Boundaries of Fixed-Point Equations: Adaptation to Contraction and Controlled Expansion

As of 18 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2506.17698.

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

pith.paper-citation-record.v1
2506.17698 v3

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:16:46.815436Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddb327b4-8bf4-48a7-be24-315260a4818b · outbound

This paper cites Fixed Point Computation: Beating Brute Force with Smoothed Analysis.

Pushing the Complexity Boundaries of Fixed-Point Equations: Adaptation to Contraction and Controlled Expansion Fixed Point Computation: Beating Brute Force with Smoothed Analysis

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:16:46.906694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T19:16:46.793040Z digest=sha256:cef8942c7725ae8219f7d25bcb29941b624b31cb14285cdce0ea9cadec423c1b

Observation 5f88a7fa-6d32-4190-a379-5464b34a5826 · outbound

This paper cites Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization.

Pushing the Complexity Boundaries of Fixed-Point Equations: Adaptation to Contraction and Controlled Expansion Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T19:16:46.810442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:16:46.810442Z digest=sha256:e899e62de45c35a89b7711c40561811cc93363172457cbbedafcba978fc9af43

Observation 65fe047b-7e44-4219-b739-85d80bd51e09 · outbound

This paper cites Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions.

Pushing the Complexity Boundaries of Fixed-Point Equations: Adaptation to Contraction and Controlled Expansion Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions

Reference 1987

Resolution
unresolved
no resolver link, observed 2026-08-15T19:16:46.815436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:16:46.815436Z digest=sha256:86d82e53e2b1de50fd57535f4ee1b0932daa309b312ed5291aee1efe213edbc7

Observation 04f45972-6d91-4ace-b650-6476b1914faa · outbound

This paper cites Stochastic Halpern iteration in normed spaces and applications to reinforcement learning.

Pushing the Complexity Boundaries of Fixed-Point Equations: Adaptation to Contraction and Controlled Expansion Stochastic Halpern iteration in normed spaces and applications to reinforcement learning

Reference 1996

Resolution
unresolved
no resolver link, observed 2026-08-15T19:16:46.799350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:16:46.799350Z digest=sha256:08eb90d8c8124321412049d9162a86693bd09b99cc3ba8e96ef5f8dcca84ebf3

Observation 36b89684-d07b-4ad3-8d83-85054b0a8d79 · outbound

This paper cites Convergence of proximal splitting algorithms in CAT(κ) spaces and beyond.Fixed Point Theory and Algorithms for Sciences and Engineering, 2021(1):13,.

Pushing the Complexity Boundaries of Fixed-Point Equations: Adaptation to Contraction and Controlled Expansion Convergence of proximal splitting algorithms in CAT(κ) spaces and beyond.Fixed Point Theory and Algorithms for Sciences and Engineering, 2021(1):13,

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:16:46.922490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T19:16:46.804726Z digest=sha256:b234d858cae4cf4264cb1848cb53e08f6f8d8990f13206f29cbc7f4160e96e60

Pith citing papers

No inbound Pith citation observations are available.