Paper Citation Record · LEDGER

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.09783.

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

pith.paper-citation-record.v1
2405.09783 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:01:43.715786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:09.461285Z

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 98d52701-50c9-4c4d-a362-7a82f6b48832 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:20:59.424547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a2c8c47-9550-4bdc-8478-adda18cb0195 · inbound

Optimizing Temperature for Language Models with Multi-Sample Inference cites this paper.

Optimizing Temperature for Language Models with Multi-Sample Inference LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T20:01:43.715786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed22fd7-4065-4d70-939f-d540f2f07ce6 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.396781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66e0bab4-efa3-400f-9b2c-8b808b3e45d2 · 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 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 223

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.942882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf9eaba-ea82-482f-bf71-fa073721c766 · inbound

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T15:11:32.682143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 133ab480-475e-4952-8a73-07d6bdacf743 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:31:07.917052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d984f56-1fbb-481b-8fbc-00cdf7868ac4 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:13:52.868789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65dbd08b-fd7d-470d-b9be-1b92ad7c28bd · inbound

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs cites this paper.

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:09.462850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a067c7b-22d9-4e8b-ba7a-298d8bfeabd0 · inbound

Large language models for partial differential equation workflows cites this paper.

Large language models for partial differential equation workflows LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T16:18:49.350413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.