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Paper Citation Record · LEDGER

Optimization with First Order Algorithms

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.19506.

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

pith.paper-citation-record.v1
2410.19506 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:50.998665Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:45:51.397704Z

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 5f08bda3-a2f1-4a6f-a24c-7792398f5bbd · inbound

DeepInverse: A Python package for solving imaging inverse problems with deep learning cites this paper.

DeepInverse: A Python package for solving imaging inverse problems with deep learning Optimization with First Order Algorithms

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:50.998665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:00:50.998665Z digest=sha256:34b980c7fd7b9b7ff49f55b516e4767bc4398fc143546e18ba5d2f3eeafec325

Observation 642ce1c0-af9b-4545-890b-14bc24a6e731 · inbound

On computing sparse universal solvers for key problems in statistics cites this paper.

On computing sparse universal solvers for key problems in statistics Optimization with First Order Algorithms

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T10:27:41.210482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:27:41.210482Z digest=sha256:efff6a647f61d19a3f8a82de27e7193fbd1934b5861a64a5a1a86cda2e58ac69

Observation 05445484-8ff3-4b6c-a014-e23af5462503 · inbound

Convergence Rates for Distribution Matching with Sliced Optimal Transport cites this paper.

Convergence Rates for Distribution Matching with Sliced Optimal Transport Optimization with First Order Algorithms

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T01:09:06.391639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:09:06.391639Z digest=sha256:95f053723e30958de6607699ef4789c790239f5ba02761a467dd8a9faabcf173

Observation 85ecc5cc-9d3a-43b2-9742-9b9ec9d673bb · inbound

A Line--Search--Based Stochastic Gradient Method for 3D Computed Tomography cites this paper.

A Line--Search--Based Stochastic Gradient Method for 3D Computed Tomography Optimization with First Order Algorithms

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:22:14.766764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T04:18:06.285491Z digest=sha256:572690dc89d54ad00481627290921953e6bac881d761bb31424b4f98da6eacec

Observation 188a6847-8ab6-4d43-bec1-8890701c2b81 · inbound

No-regret optimization of time-varying bilevel problems cites this paper.

No-regret optimization of time-varying bilevel problems Optimization with First Order Algorithms

Reference 165

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:43:56.292276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T03:41:35.753370Z digest=sha256:a19f0d5e8a07e93e73e4d509dd80f8f160028ae320b2d0be779e6441d137c711

Observation 850bb1f9-0737-4580-b95b-f8f8e0aef3ec · inbound

Sparse symmetric generalized inverses for sparse symmetric matrices cites this paper.

Sparse symmetric generalized inverses for sparse symmetric matrices Optimization with First Order Algorithms

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:45:51.399051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T20:14:43.541001Z digest=sha256:234527efcb92cd85fb8a72f4a048cd243f339e81a366b6fb6b621fb90d6fbdc0