Paper Citation Record · LEDGER

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.01131.

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

pith.paper-citation-record.v1
2403.01131 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:53.072642Z

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

1
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 fa127ce7-c3fa-4568-993a-45df53e5d03c · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.388476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f798b782-e066-4ba3-9dca-04e6c0f14216 · inbound

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning cites this paper.

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T18:51:06.802034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51959e95-4dab-4c29-989d-5776d5f56380 · inbound

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models cites this paper.

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:53.072642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50dbff0-6b9a-42f6-9d44-21fda8af08f0 · inbound

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings cites this paper.

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T05:46:50.845870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11826151-9872-4ba2-86c0-e55bfa59165c · inbound

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle cites this paper.

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:49.273930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef1cbaf-90bd-4eae-ba72-6628077343af · 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 LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 201

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.855887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e090058-3741-43fd-9551-0cdffa975a57 · inbound

PerfCoder: Large Language Models for Interpretable Code Performance Optimization cites this paper.

PerfCoder: Large Language Models for Interpretable Code Performance Optimization LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:43:38.156717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7bb6510c-3ea5-4b13-905e-75508d4ba88d · inbound

Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design cites this paper.

Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:43:24.814863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73ebbd87-7fa0-4229-986e-453a9edc817d · inbound

ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modeling cites this paper.

ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modeling LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:36.068245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73c0dc0c-95de-4672-aa52-9909d8d77f6b · inbound

Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization cites this paper.

Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:26:24.847561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 031c1e1a-f953-4c53-9a31-d998ac9e5be5 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T05:08:05.257902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3921285-5566-45a6-8624-1d94a667a9d8 · inbound

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources cites this paper.

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:20:07.341400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a766c877-ef4b-40d8-b221-26a009f4814c · inbound

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources cites this paper.

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:50.748572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0bdaf9b-cfce-489e-86c1-a08010e94a4a · inbound

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:34:26.609588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45cab2bd-5571-4f63-ad3e-dc40e182ac29 · inbound

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives cites this paper.

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:48.538837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 455767a0-2302-4a39-99cf-5616e4cc1208 · inbound

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design cites this paper.

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T08:09:45.806718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.