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Paper Citation Record · LEDGER

Algorithms for stochastic optimization with functional or expectation constraints

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1604.03887.

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

pith.paper-citation-record.v1
1604.03887 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.308424Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:22:26.058557Z

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 5e2ddd92-6dec-49a0-9c3e-5e453f480cd7 · inbound

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints cites this paper.

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Algorithms for stochastic optimization with functional or expectation constraints

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:34.308424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:34.308424Z digest=sha256:d1c37dc398d331fb11b63abde8d6ed4f0a87edfb676ef86b195b45b2c2b4412b

Observation fc6667b8-2678-4b2f-b590-883213c0ea59 · inbound

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization cites this paper.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Algorithms for stochastic optimization with functional or expectation constraints

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T14:45:51.746698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.746698Z digest=sha256:dfe7e341a057e45efcc2152cc49b10a24d92f73fdf2156f6b8499c6696736181

Observation 053f16c8-0e84-41ce-82bb-b63587e54bb8 · inbound

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints cites this paper.

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints Algorithms for stochastic optimization with functional or expectation constraints

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T14:45:38.553813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:45:38.553813Z digest=sha256:659eab06a3bf83b9ec37a365bbdb60c1857f1b86ce5ba747ffbcad367171c8da

Observation 6415fb3e-a376-40be-969e-adbeba5fb970 · inbound

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization cites this paper.

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization Algorithms for stochastic optimization with functional or expectation constraints

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T10:22:26.062444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:22:25.595619Z digest=sha256:a25b9b121c09a585e9e95adcd67d7d46eb0ed7657f9a3975406027a7ca0873f0

Observation 24b67f16-0e0d-4807-a48f-67e7e0ea21f4 · inbound

First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints cites this paper.

First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints Algorithms for stochastic optimization with functional or expectation constraints

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-15T14:17:22.211737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:17:22.211737Z digest=sha256:64afb770c10b222c2ec3b2ec745281b06e314bba3c2e42da16a732f5cc2ce898