Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:59.399768Z
Paper Citation Record · LEDGER
LineFlow: A Framework to Learn Active Control of Production Lines
As of 20 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.06744.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact13
- verified fuzzy16
- unresolved26
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 50ba5009-d3a9-4f63-a6c0-8acbf8489128 · outbound
This paper cites write newline.
LineFlow: A Framework to Learn Active Control of Production Lines write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.149489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bceb6105-303c-4ff8-8a20-7f8c9fa1ce1b · outbound
This paper cites an unresolved cited work.
LineFlow: A Framework to Learn Active Control of Production Lines Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.155997Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5854cff2-8792-452e-be4c-2ae3c76dd649 · outbound
This paper cites Gekko optimization suite.
LineFlow: A Framework to Learn Active Control of Production Lines Gekko optimization suite
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.161399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c250bd86-b78e-47ea-8429-bf2235df2c39 · outbound
This paper cites Performance analysis of production lines: Discrete and continuous flow models.
LineFlow: A Framework to Learn Active Control of Production Lines Performance analysis of production lines: Discrete and continuous flow models
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.849191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 04688864-bc5d-41b3-8224-d2b051d7c093 · outbound
This paper cites Modeling and control of dispensing processes for surface mount technology.
LineFlow: A Framework to Learn Active Control of Production Lines Modeling and control of dispensing processes for surface mount technology
Reference 5
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T22:40:00.501864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59f2bcb1-4d23-43e6-8e68-a487073ac039 · outbound
This paper cites Y., Malyutin, S., and Soukhal, A.
LineFlow: A Framework to Learn Active Control of Production Lines Y., Malyutin, S., and Soukhal, A
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.644752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cb3945bb-0e1f-41a5-887a-e3ea9be0d1e1 · outbound
This paper cites Deep reinforcement learning for optimal planning of assembly line maintenance.
LineFlow: A Framework to Learn Active Control of Production Lines Deep reinforcement learning for optimal planning of assembly line maintenance
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.631147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 79b9d5cd-7505-467e-9ce1-cc505d04c579 · outbound
This paper cites N., Cortez, P., Carvalho, M.
LineFlow: A Framework to Learn Active Control of Production Lines N., Cortez, P., Carvalho, M
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.183777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac3160a9-f917-4f02-9578-e0acfed2fea3 · outbound
This paper cites A reinforcement learning decision model for online process parameters optimization from offline data in injection molding.
LineFlow: A Framework to Learn Active Control of Production Lines A reinforcement learning decision model for online process parameters optimization from offline data in injection molding
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.188789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae6f6408-e295-405f-9da1-f9dee8e1e1ef · outbound
This paper cites R., Millman, K.
LineFlow: A Framework to Learn Active Control of Production Lines R., Millman, K
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.193364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ee6a24a-a1b6-44e6-b977-d441ac58241a · outbound
This paper cites Memory-based control with recurrent neural networks.
LineFlow: A Framework to Learn Active Control of Production Lines Memory-based control with recurrent neural networks
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.198374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91748e3b-809d-4667-a924-202ab64a0dfb · outbound
This paper cites Y., and Jiang, J.
LineFlow: A Framework to Learn Active Control of Production Lines Y., and Jiang, J
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.834574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9e3cc7cd-3f3d-4b32-b087-1f8279fc5206 · outbound
This paper cites An intelligent weld control strategy based on reinforcement learning approach.
LineFlow: A Framework to Learn Active Control of Production Lines An intelligent weld control strategy based on reinforcement learning approach
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.608458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 329c674a-f5af-4c87-9dd3-66a4a6bec620 · outbound
This paper cites M., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Ž \'i dek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, S.
LineFlow: A Framework to Learn Active Control of Production Lines M., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Ž \'i dek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, S
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.818605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a027b3f-1dda-417b-b9c9-32063c4ad054 · outbound
This paper cites Machine learning applications in production lines: A systematic literature review.
LineFlow: A Framework to Learn Active Control of Production Lines Machine learning applications in production lines: A systematic literature review
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.217461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69a5083d-f6bc-43b8-9982-df765c4ab58f · outbound
This paper cites an unresolved cited work.
LineFlow: A Framework to Learn Active Control of Production Lines Unresolved cited work
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.594845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bba75d2f-0b77-4217-862e-042664a6f2f6 · outbound
This paper cites Designing an adaptive production control system using reinforcement learning.
LineFlow: A Framework to Learn Active Control of Production Lines Designing an adaptive production control system using reinforcement learning
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.581023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aa38bf9a-b8ca-44ce-85e2-7d128d153008 · outbound
This paper cites Data-driven dynamic bottleneck detection in complex manufacturing systems.
LineFlow: A Framework to Learn Active Control of Production Lines Data-driven dynamic bottleneck detection in complex manufacturing systems
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.565976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation daaf5337-de38-4551-93d5-33f9efd66be6 · outbound
This paper cites Real time production improvement through bottleneck control.
LineFlow: A Framework to Learn Active Control of Production Lines Real time production improvement through bottleneck control
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.804620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 300996e9-3e49-4352-b109-8cbd7c65367b · outbound
This paper cites T., Tan, B.
LineFlow: A Framework to Learn Active Control of Production Lines T., Tan, B
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.551601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59dea9fb-2bca-4f03-86e7-71e5d9d69f75 · outbound
This paper cites C., Schäfer, L., Matta, A., and Lanza, G.
LineFlow: A Framework to Learn Active Control of Production Lines C., Schäfer, L., Matta, A., and Lanza, G
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.535798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 72d9093c-e4b7-4c5f-95c9-04522e82729d · outbound
This paper cites C., Matta, A., and Lanza, G.
LineFlow: A Framework to Learn Active Control of Production Lines C., Matta, A., and Lanza, G
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.522117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7f173c9-4107-4da8-8310-870230cfd795 · outbound
This paper cites The impact of industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives.
LineFlow: A Framework to Learn Active Control of Production Lines The impact of industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.254371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea579b42-9c2f-406d-ab4c-601848b4dbe5 · outbound
This paper cites an unresolved cited work.
LineFlow: A Framework to Learn Active Control of Production Lines Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.258716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2279ebbc-cedc-48be-8d18-1fb1ce770067 · outbound
This paper cites P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K.
LineFlow: A Framework to Learn Active Control of Production Lines P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.262953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7f92f87-9c04-49f9-b92f-ab309c6832e3 · outbound
This paper cites Introduction to TPM: Total Productive Maintenance.
LineFlow: A Framework to Learn Active Control of Production Lines Introduction to TPM: Total Productive Maintenance
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.781504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d958b0c1-3d29-4150-88a0-9b23f6777752 · outbound
This paper cites E., and Stone, P.
LineFlow: A Framework to Learn Active Control of Production Lines E., and Stone, P
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.766019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 051b0705-cb04-461f-8501-fd4012f46935 · outbound
This paper cites A review on reinforcement learning: Introduction and applications in industrial process control.
LineFlow: A Framework to Learn Active Control of Production Lines A review on reinforcement learning: Introduction and applications in industrial process control
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.276001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 312fb8cc-46cb-4f8c-8f4a-b9193c54f029 · outbound
This paper cites C., Kuhnle, A., and Lanza, G.
LineFlow: A Framework to Learn Active Control of Production Lines C., Kuhnle, A., and Lanza, G
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.506981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f8f0378b-3e3c-4e92-98b3-ad5c633382d6 · outbound
This paper cites Irizarry, M., Resto, P., and Mej \' a, H.
LineFlow: A Framework to Learn Active Control of Production Lines Irizarry, M., Resto, P., and Mej \' a, H
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.752314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23f34723-89e1-4ea1-be3d-89a487f61372 · outbound
This paper cites Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization.
LineFlow: A Framework to Learn Active Control of Production Lines Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.288557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1389f7e9-d515-432d-a38f-dc1cb26750cb · outbound
This paper cites Memory gym: Partially observable challenges to memory-based agents.
LineFlow: A Framework to Learn Active Control of Production Lines Memory gym: Partially observable challenges to memory-based agents
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.738422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c73cd76-db09-4376-be44-1659b0f91926 · outbound
This paper cites M., Ou, W., Yenradee, P., and Huynh, V.-N.
LineFlow: A Framework to Learn Active Control of Production Lines M., Ou, W., Yenradee, P., and Huynh, V.-N
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.297366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b3f6244-2135-4fd1-8589-915e857cb817 · outbound
This paper cites Stable-baselines3: Reliable reinforcement learning implementations.
LineFlow: A Framework to Learn Active Control of Production Lines Stable-baselines3: Reliable reinforcement learning implementations
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.301361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1631eb60-7f27-44cf-bb30-500527e06749 · outbound
This paper cites Bosch production line performance.
LineFlow: A Framework to Learn Active Control of Production Lines Bosch production line performance
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.715879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ed99d3bf-44aa-4a9c-a17e-b97e445630f0 · outbound
This paper cites Shifting bottleneck detection.
LineFlow: A Framework to Learn Active Control of Production Lines Shifting bottleneck detection
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.701945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 437a01d4-8585-4b1b-a4d2-8ca26abe9551 · outbound
This paper cites Reliable shop floor bottleneck detection for flow lines through process and inventory observations.
LineFlow: A Framework to Learn Active Control of Production Lines Reliable shop floor bottleneck detection for flow lines through process and inventory observations
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.492576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb3bc357-f753-4beb-a063-dc5247f4570a · outbound
This paper cites Bottleneck prediction using the active period method in combination with buffer inventories.
LineFlow: A Framework to Learn Active Control of Production Lines Bottleneck prediction using the active period method in combination with buffer inventories
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.687674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c6f55455-8b5b-48a6-a847-408b9ee0b99c · outbound
This paper cites and Becker, C.
LineFlow: A Framework to Learn Active Control of Production Lines and Becker, C
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.673362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d9db04b-102d-4cd7-854f-4d05791bb481 · outbound
This paper cites Trust region policy optimization.
LineFlow: A Framework to Learn Active Control of Production Lines Trust region policy optimization
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.326009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8f81b86-b7a8-498e-a9d7-e9c45848db2f · outbound
This paper cites Proximal Policy Optimization Algorithms.
LineFlow: A Framework to Learn Active Control of Production Lines Proximal Policy Optimization Algorithms
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.330079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82cad94f-99ff-4e19-9311-6ea8d3b37511 · outbound
This paper cites skrl: Modular and flexible library for reinforcement learning.
LineFlow: A Framework to Learn Active Control of Production Lines skrl: Modular and flexible library for reinforcement learning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.650384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6d1654b2-7410-43f1-ae8c-17d6145dadcd · outbound
This paper cites Intelligent scheduling of discrete automated production line via deep reinforcement learning.
LineFlow: A Framework to Learn Active Control of Production Lines Intelligent scheduling of discrete automated production line via deep reinforcement learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.338352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b369288-dd34-4a34-be5e-1f44e517ee57 · outbound
This paper cites Real-time scheduling for a smart factory using a reinforcement learning approach.
LineFlow: A Framework to Learn Active Control of Production Lines Real-time scheduling for a smart factory using a reinforcement learning approach
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.478642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 185aa2ec-7314-4bf2-a5fa-69f4e69cb48c · outbound
This paper cites J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.
LineFlow: A Framework to Learn Active Control of Production Lines J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.347063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091f7f73-3fbc-4f14-bd47-4ca5dbfe56de · outbound
This paper cites Simpy 4.1 webpage, 2025.
LineFlow: A Framework to Learn Active Control of Production Lines Simpy 4.1 webpage, 2025
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.626798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0eaa4b93-0667-4767-8f23-0a512773590b · outbound
This paper cites A., Th \"u rer, M., and Chang, Q.
LineFlow: A Framework to Learn Active Control of Production Lines A., Th \"u rer, M., and Chang, Q
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.612671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7c486446-448f-4eac-8b38-0cfec5872a30 · outbound
This paper cites an unresolved cited work.
LineFlow: A Framework to Learn Active Control of Production Lines Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:40:00.598097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6a0eb2d9-384e-4191-ba91-22c1d90f6f78 · outbound
This paper cites and Chauhan, S.
LineFlow: A Framework to Learn Active Control of Production Lines and Chauhan, S
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.363604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99384850-70fc-4fe3-acd4-880a706bdc72 · outbound
This paper cites A parallel deep reinforcement learning framework for controlling industrial assembly lines.
LineFlow: A Framework to Learn Active Control of Production Lines A parallel deep reinforcement learning framework for controlling industrial assembly lines
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.368116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c57a98a-ed1b-4b0e-bb05-6cbde7770ec0 · outbound
This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.
LineFlow: A Framework to Learn Active Control of Production Lines Gymnasium: A Standard Interface for Reinforcement Learning Environments
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.372428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26537d3d-1234-4143-8c7f-7f802c2496f5 · outbound
This paper cites an unresolved cited work.
LineFlow: A Framework to Learn Active Control of Production Lines Unresolved cited work
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.377749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed8096bd-d018-4bd9-9ebf-78e959c1b15b · outbound
This paper cites M., Mathieu, M., Dudzik, A., Chung, J., Choi, D.
LineFlow: A Framework to Learn Active Control of Production Lines M., Mathieu, M., Dudzik, A., Chung, J., Choi, D
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.382814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9aa09b4-bf25-4362-99b4-cfe810357212 · outbound
This paper cites Multi-agent reinforcement learning based maintenance policy for a resource constrained flow line system.
LineFlow: A Framework to Learn Active Control of Production Lines Multi-agent reinforcement learning based maintenance policy for a resource constrained flow line system
Reference 54
- Resolution
- verified exact
- doi, observed 2026-08-15T22:39:59.446170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 24aba305-2c6f-479a-8a1f-a01807938f04 · outbound
This paper cites D ata S tructures for S tatistical C omputing in P ython.
LineFlow: A Framework to Learn Active Control of Production Lines D ata S tructures for S tatistical C omputing in P ython
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.391495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b2dd161-baeb-432c-885f-12eb59d3c9e2 · outbound
This paper cites Daydreamer: World models for physical robot learning.
LineFlow: A Framework to Learn Active Control of Production Lines Daydreamer: World models for physical robot learning
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:40:00.575195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d074f798-9f3c-4b24-a337-5cb478bb1a2a · outbound
This paper cites and Lan, R.
LineFlow: A Framework to Learn Active Control of Production Lines and Lan, R
Reference 57
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T22:39:59.799717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.