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Paper Citation Record · LEDGER

Learning Multiple Initial Solutions to Optimization Problems

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.02158.

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

pith.paper-citation-record.v1
2411.02158 v2

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:24.614000Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 72a80ca7-8471-4699-a67e-ec94a9aee3ce · inbound

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization cites this paper.

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization Learning Multiple Initial Solutions to Optimization Problems

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T14:07:24.614000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:07:24.614000Z digest=sha256:fa23cfde1386ab51c65b49186053f2b7b1db0bc91b062ff2554b1f98ff711627

Observation 9fadc9f0-a05a-4a15-8305-74c25f31662e · inbound

Generating Symbolic World Models via Test-time Scaling of Large Language Models cites this paper.

Generating Symbolic World Models via Test-time Scaling of Large Language Models Learning Multiple Initial Solutions to Optimization Problems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T21:45:45.401048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:45:45.401048Z digest=sha256:75c391e34a15d0133a11436e322ddc0ba41dc6ed3fec6b06b1d9fe2d30c6a45c

Observation e3646995-7546-4085-8781-49cad7ef867c · inbound

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models cites this paper.

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models Learning Multiple Initial Solutions to Optimization Problems

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:44.499641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T22:45:51.153034Z digest=sha256:5c5e76f4206392033a3945bbb6de6b997699f2a829a33c166ca4ebec8aa449ae