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Paper Citation Record · LEDGER

Amortized Implicit Differentiation for Stochastic Bilevel Optimization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2111.14580.

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

pith.paper-citation-record.v1
2111.14580 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:44.802687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.354913Z

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 f69c0baf-7359-4937-bc17-8beb69bfe1bb · inbound

Exploring the Generalization Capabilities of AID-based Bi-level Optimization cites this paper.

Exploring the Generalization Capabilities of AID-based Bi-level Optimization Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T13:40:10.053973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:40:10.053973Z digest=sha256:2fc48758d34a7d93eaaa29b049da54c50a6eb2b2330c80eb7e9f489c81bdf2e0

Observation 93901944-9265-4be5-953a-ac3294388f15 · inbound

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem cites this paper.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T05:23:00.935397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.935397Z digest=sha256:4b67b1a4b46adcb5a30c952ee90a336b90dc2829f62552192a9608f8e001a94b

Observation 436936c3-dbbf-4b13-ae6a-a3c46a8288e4 · 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 Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T23:47:10.609623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:47:10.609623Z digest=sha256:012f9974688b36972270eab0a3e45a9d3251a1679ad0536f8f792b51c8f9c88b

Observation faf2f25c-6a2b-4f06-b207-9dff5903a490 · inbound

Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization cites this paper.

Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:44.802687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:54:44.802687Z digest=sha256:67da83869f544ff2ba90fe86012caab0a6cb5657da8da6b67907b20336d70210

Observation 606040cc-5016-4aed-b267-81ce455cc36e · inbound

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization cites this paper.

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:56:26.655200Z

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=2026-05-12T04:47:04.868735Z digest=sha256:413bb1ea23702b9489593bfab8c2a0e0074b25370d1cdc125210116e18909486

Observation 78c0888a-9b05-4eac-83c3-8b76d9f66e4e · inbound

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization cites this paper.

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:22:23.317784Z

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=2026-05-13T06:20:42.781613Z digest=sha256:c93183bff43d0d15b1e3999f121a622d20ca9f62459f169d5b11852925058dac

Observation 3e1c8df8-993b-426c-b882-fc7b71a6f070 · inbound

Escaping the Variance Trap: Jacobian-Free Dynamics for Root-Finding Bilevel Optimization cites this paper.

Escaping the Variance Trap: Jacobian-Free Dynamics for Root-Finding Bilevel Optimization Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:42.356647Z

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=2026-06-26T10:56:26.951886Z digest=sha256:6b140d7f7aa130a56163eb154b282bfb0255210a8e03a0c1029c3868492087e7