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Paper Citation Record · LEDGER

First-order methods for constrained convex programming based on linearized augmented Lagrangian function

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1711.08020.

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

pith.paper-citation-record.v1
1711.08020 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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.388367Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T16:56:16.375330Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 f218e67d-be26-4c2a-8fbc-97d9741cc907 · inbound

Contraction Analysis on Primal-Dual Gradient Optimization cites this paper.

Contraction Analysis on Primal-Dual Gradient Optimization First-order methods for constrained convex programming based on linearized augmented Lagrangian function

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-24T16:56:16.378935Z

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=2026-05-24T16:56:05.369885Z digest=sha256:84ea8d576f15cc70471b95917b7e6d6dae4154e53a1720b38eb0e60aa1c09719

Observation 902ef5a6-9fec-4d47-9fe4-d4cc56b22e18 · 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 First-order methods for constrained convex programming based on linearized augmented Lagrangian function

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:34.388367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:34.388367Z digest=sha256:9d242deaedf917e914bf3f32732975df9c4386be874011180ee9a93b117b82b4

Observation d5a04289-91bc-49d9-bb3d-1008f8f7f6f7 · inbound

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

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization First-order methods for constrained convex programming based on linearized augmented Lagrangian function

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-14T10:22:25.717836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:22:25.717836Z digest=sha256:49affbfd8bffed1d79db44de328afe4113f62ef887ac27a8f5411f91f11588ea