Paper Citation Record · LEDGER

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.29262.

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

pith.paper-citation-record.v1
2605.29262 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:38:08.380452Z

measured 33 of 33 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact7
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6820bf4f-0186-4365-88ed-e731f9ea7d00 · outbound

This paper cites Routing and scheduling in a flexible job shop by tabu search.Ann.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Routing and scheduling in a flexible job shop by tabu search.Ann

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ce621d-1e99-4656-b588-0e8f6dc80798 · outbound

This paper cites Reflecsched: Solving dynamic flexible job-shop scheduling via llm-powered hierarchical reflection,.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Reflecsched: Solving dynamic flexible job-shop scheduling via llm-powered hierarchical reflection,

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.848869Z

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 33cbfc1a-3f1d-4018-bc9b-c9d7a80b65e8 · outbound

This paper cites Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling.Swarm Evol.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling.Swarm Evol

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0083554a-ec8d-4745-ad5b-a841fe033894 · outbound

This paper cites Deep reinforcement learning for dy- namic flexible job shop scheduling with random job ar- rival.Processes, 10(4):760,.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Deep reinforcement learning for dy- namic flexible job shop scheduling with random job ar- rival.Processes, 10(4):760,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2af69001-0e4d-48ae-9330-58ec9795bd89 · outbound

This paper cites Fast-in-Slow: A dual-system VLA model uni- fying fast manipulation within slow reasoning.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Fast-in-Slow: A dual-system VLA model uni- fying fast manipulation within slow reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd06485-fdaa-4e7d-9287-d0623828e9c2 · outbound

This paper cites DeepSeek-V3 Technical Report.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling DeepSeek-V3 Technical Report

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.851150Z

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 0fd621f6-4dbf-4532-80db-515951562ddc · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.855016Z

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 00cd24e6-e531-4635-9168-8ab761a9fbd3 · outbound

This paper cites an unresolved cited work.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaee9bb4-7ee3-429b-a351-2d2ff3ba7ca3 · outbound

This paper cites Effective and interpretable dispatch- ing rules for dynamic job shops via guided empirical learn- ing.Omega, 111:102643,.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Effective and interpretable dispatch- ing rules for dynamic job shops via guided empirical learn- ing.Omega, 111:102643,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ca58af4-58c4-4f2d-abbf-0132a7bc981e · outbound

This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.857759Z

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 bd8f4054-be98-43d0-9d8b-8b1d63606d8f · outbound

This paper cites Efficient jobshop dispatching rules: Further developments.Production Planning & Con- trol, 11(2):171–178,.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Efficient jobshop dispatching rules: Further developments.Production Planning & Con- trol, 11(2):171–178,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2df03a-a764-4468-881c-1a5ae7a33957 · outbound

This paper cites GPT-4o System Card.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling GPT-4o System Card

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T07:43:13.862186Z

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 6885efd4-cbc8-483e-8ad5-982f9723776d · outbound

This paper cites Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.859730Z

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 8a1a666f-1551-423f-a027-9123a24627fe · outbound

This paper cites Efficient memory management for large language model serving with PagedAttention.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Efficient memory management for large language model serving with PagedAttention

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bcde926-3cbd-4408-b40e-ec9002e79a3b · outbound

This paper cites Multi-objective dynamic flexible job shop scheduling using multi-head network-based deep re- inforcement learning.Expert Systems with Applications, 298:129542,.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Multi-objective dynamic flexible job shop scheduling using multi-head network-based deep re- inforcement learning.Expert Systems with Applications, 298:129542,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a2d2ba-9d0a-4418-8422-089f0e57db1f · outbound

This paper cites Code as policies: Language model programs for embodied control.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Code as policies: Language model programs for embodied control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3a5a3f-e7c8-47cd-9435-b59cbecd41b9 · outbound

This paper cites Is your code generated by ChatGPT really correct? rigorous evaluation of large lan- guage models for code generation.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Is your code generated by ChatGPT really correct? rigorous evaluation of large lan- guage models for code generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391ca165-6a7f-4b25-a48f-da41353ac7c9 · outbound

This paper cites Feature selection in evolving job shop dispatching rules with genetic programming.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Feature selection in evolving job shop dispatching rules with genetic programming

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8300df89-a39b-41cc-b188-eb800a155d95 · outbound

This paper cites A survey of dynamic scheduling in manufac- turing systems.J.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling A survey of dynamic scheduling in manufac- turing systems.J

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16265588-9850-4f66-a685-876e6c146e13 · outbound

This paper cites Dynamic scheduling of man- ufacturing systems using machine learning: An updated review.Ai Edam, 28(1):83–97,.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Dynamic scheduling of man- ufacturing systems using machine learning: An updated review.Ai Edam, 28(1):83–97,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 723d23b1-480c-493d-949c-750866f8ec81 · outbound

This paper cites Small language models: Architecture, evolution, and the future of artificial intelligence.Preprints, January.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Small language models: Architecture, evolution, and the future of artificial intelligence.Preprints, January

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8a2495-420e-4580-a60d-995c20cd12ba · outbound

This paper cites OpenAI GPT-5 System Card.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling OpenAI GPT-5 System Card

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.852684Z

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 31977f0e-26f9-4188-abef-cc0157575425 · outbound

This paper cites A review of production scheduling with artificial intelligence and digital twins.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling A review of production scheduling with artificial intelligence and digital twins

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a3ba95-7b0b-4855-9a2c-dd3462d68e1c · outbound

This paper cites Chi, Quoc V.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Chi, Quoc V

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5884542-1b80-41a9-91d4-12d090f517a9 · outbound

This paper cites Dynamic scheduling for flexible job shop under machine breakdown using improved double deep q-network.Expert Syst.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Dynamic scheduling for flexible job shop under machine breakdown using improved double deep q-network.Expert Syst

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c6e8fc-adb1-4f5e-b405-f13d50a9c0b7 · outbound

This paper cites Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning.Artif.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning.Artif

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828ba580-d555-45f8-9be2-0e8644fc9a8c · outbound

This paper cites Large language models as optimizers.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Large language models as optimizers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad75c93-191c-4d4f-9e26-6cf08cc5d221 · outbound

This paper cites Qwen3 Technical Report.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Qwen3 Technical Report

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.844037Z

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 99353e1b-821d-406a-90e9-bcbd9a078ca9 · outbound

This paper cites Tree of thoughts: Deliberate problem solv- ing with large language models.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Tree of thoughts: Deliberate problem solv- ing with large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c38b41-0860-4bb8-943b-8ae18ab890ca · outbound

This paper cites Deep rein- forcement learning based proximal policy optimization al- gorithm for dynamic job shop scheduling.Comput.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Deep rein- forcement learning based proximal policy optimization al- gorithm for dynamic job shop scheduling.Comput

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47d83af-3c47-4c83-a1f9-fdc21b683b9b · outbound

This paper cites Learning to dispatch for job shop scheduling via deep reinforcement learning.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Learning to dispatch for job shop scheduling via deep reinforcement learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f37cd28c-d363-4103-868f-d1d3fb4d11f2 · outbound

This paper cites Multitask multiobjective genetic pro- gramming for automated scheduling heuristic learning in dynamic flexible job-shop scheduling.IEEE Trans.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Multitask multiobjective genetic pro- gramming for automated scheduling heuristic learning in dynamic flexible job-shop scheduling.IEEE Trans

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d5ccd8-09ab-474e-9003-7ca8cad0cde7 · outbound

This paper cites Meta- relation-based heterogeneous graph neural network with deep reinforcement learning for flexible job shop schedul- ing.Expert Systems with Applications, 291:128411, 2025.

Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling Meta- relation-based heterogeneous graph neural network with deep reinforcement learning for flexible job shop schedul- ing.Expert Systems with Applications, 291:128411, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T07:38:08.380452Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.