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Paper Citation Record · LEDGER

Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.02266.

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

pith.paper-citation-record.v1
2105.02266 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:38:58.993987Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:06:04.593885Z

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 348a974c-8f00-422b-8032-44ebcc022827 · inbound

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization cites this paper.

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T15:38:58.993987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:38:58.993987Z digest=sha256:077f05fbe381bf878f91dca3e38d59d3ea572294aa4aa4bc2b8ab2c695967eca

Observation 0f0a2cea-09b5-4ed4-9d06-f072013a3e65 · inbound

A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness cites this paper.

A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T23:47:10.729295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:47:10.729295Z digest=sha256:48dd48fc694e4c69bae30dd446389ceb50b0ba5bc8aff5d5e4cf9aa88d3c41d5

Observation 0332745f-6d70-4c8f-89d6-e7e64d8612d8 · inbound

Bilevel learning cites this paper.

Bilevel learning Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:04.595710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T13:55:50.997109Z digest=sha256:cdd95ed21d5d0707dfaab42cd07463e8de2cce38313caff1bb278100dcb60980

Observation 9f2d7f5d-fede-4fd4-ba58-2329031285c2 · inbound

Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems cites this paper.

Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:40:56.074760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T02:40:09.940793Z digest=sha256:ad54eedf5de0771cbdfcdbf156b791fb2a71a4a22c54d8f6bbfd5c1ebf9c3228