Paper Citation Record · LEDGER

LLMs can Schedule

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.06993.

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

pith.paper-citation-record.v1
2408.06993 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:55:41.556605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:18:07.109340Z

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 9732cc93-5219-4706-a398-eaa9e9709cf4 · 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 LLMs can Schedule

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.556605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc70ed2-39f8-4333-890b-2674e5dada3d · inbound

MAFIG: Multi-agent Driven Formal Instruction Generation Framework cites this paper.

MAFIG: Multi-agent Driven Formal Instruction Generation Framework LLMs can Schedule

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:08.885485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 319914a5-ff65-4769-add6-295b34869c8c · inbound

HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization cites this paper.

HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization LLMs can Schedule

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:50:51.181459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18a03fa4-cf10-48f2-a5f1-855a906a1635 · inbound

An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing cites this paper.

An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing LLMs can Schedule

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:55.725070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f18195b6-6eb4-4545-a423-1cd390527376 · inbound

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization cites this paper.

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization LLMs can Schedule

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:18:07.111377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96b04339-6f4f-44d8-a49a-0f12b0550e0b · inbound

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems cites this paper.

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems LLMs can Schedule

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T23:22:38.889216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a67470f-dc8b-444e-be16-2e1c0c61f590 · inbound

Guiding Large Language Models with Genetic Programming-Evolved Heuristic Knowledge for Dynamic Multi-Mode Project Scheduling cites this paper.

Guiding Large Language Models with Genetic Programming-Evolved Heuristic Knowledge for Dynamic Multi-Mode Project Scheduling LLMs can Schedule

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T03:07:29.903824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.