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Paper Citation Record · LEDGER

A Novel Approach for Auto-Formulation of Optimization Problems

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.04643.

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

pith.paper-citation-record.v1
2302.04643 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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:55:41.505668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:41:17.723891Z

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 0ee84fe9-9058-46d1-8e1c-a1c44fd05b5a · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving A Novel Approach for Auto-Formulation of Optimization Problems

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.505668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.505668Z digest=sha256:c09e6737bf9fbc4d126c19528f3c751bda74b4cc1efeb646a543380aca3a233a

Observation d9b9d03a-9f91-4f20-b28f-7a4916efbe6b · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees A Novel Approach for Auto-Formulation of Optimization Problems

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:08.053178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T19:50:39.734124Z digest=sha256:f428629687223e547e0ff62d413445ca3ece16108728bb9c186188a6edb1da3d

Observation d1b6acdf-4f91-4a17-b17f-f6c0b8321857 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees A Novel Approach for Auto-Formulation of Optimization Problems

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:41:17.725903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T02:38:45.322351Z digest=sha256:3ccd55905d8aafa61b7ec1105dd89179ca80c6a1f858833743475db1a7ffbc58