Paper Citation Record · LEDGER

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.21026.

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

pith.paper-citation-record.v1
2505.21026 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:50:37.183184Z

measured 21 of 21 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 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

21 of 21 outbound references displayed

verified exact1
verified fuzzy16
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb1864d0-0080-4fd7-9f71-90b69333e83b · outbound

This paper cites A review on reinforcement learning: Introduction and applications in industrial process control,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning A review on reinforcement learning: Introduction and applications in industrial process control,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:41.176542Z

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 91c86fd5-92bd-4c30-96a7-b9e761ccc91e · outbound

This paper cites Reinforcement learning – overview of recent progress and implications for process control,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Reinforcement learning – overview of recent progress and implications for process control,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:41.030021Z

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 3eceee6e-c1f0-4c42-80dc-bd777ce3d2fe · outbound

This paper cites Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:40.791614Z

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 691c49a2-dd08-44b4-9c2f-0a1b8f7f1fe2 · outbound

This paper cites Surrogate empowered Sim2Real transfer of deep reinforcement learning for ORC superheat control,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Surrogate empowered Sim2Real transfer of deep reinforcement learning for ORC superheat control,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:40.623075Z

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 3d5ecf44-59e9-4a17-be88-be780b3b39ef · outbound

This paper cites Event-triggered con- strained optimal control for organic rankine cycle systems via safe reinforcement learning,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Event-triggered con- strained optimal control for organic rankine cycle systems via safe reinforcement learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:40.464024Z

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 2b63dea2-5657-4d05-b75e-886746c53721 · outbound

This paper cites Dual-mode fast DMC algorithm for the control of ORC based waste heat recovery system,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Dual-mode fast DMC algorithm for the control of ORC based waste heat recovery system,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:40.297043Z

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 dd98dd2d-fc26-4754-b090-ac8f371fef09 · outbound

This paper cites Accelerating reinforcement learning with local data enhancement for process control,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Accelerating reinforcement learning with local data enhancement for process control,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:40.086440Z

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 48544a8a-893e-405b-82bf-0ff464e0f2c8 · outbound

This paper cites Controlling pressure of gas pipeline network based on mixed proximal policy optimization,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Controlling pressure of gas pipeline network based on mixed proximal policy optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:39.910881Z

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 6ccd7100-e037-4c54-8b84-a7531c1ebb2f · outbound

This paper cites an unresolved cited work.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:50:39.690416Z

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 02315801-bdc5-4921-bcdc-fbc2e8fb1c5a · outbound

This paper cites Using process data to generate an optimal control policy via apprenticeship and reinforcement learning,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Using process data to generate an optimal control policy via apprenticeship and reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:39.444637Z

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 ab33e6ff-6907-4f00-a7cc-95d50d018bc5 · outbound

This paper cites A survey of inverse reinforcement learning,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning A survey of inverse reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:39.257736Z

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 85b15980-f3ee-465f-9c4f-1830bd295885 · outbound

This paper cites Generative adversarial imitation learning,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Generative adversarial imitation learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:38.913849Z

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 a630022b-9e3d-41cd-8452-5c9a8777ac7c · outbound

This paper cites Learning Robust Rewards with Adversarial Inverse Reinforcement Learning.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:36.618567Z

Source-reported events for the cited work

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Observation d0a25fd5-3524-445d-8843-03ca3612621e · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:36.694463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25993c48-b2f3-4b02-86d3-bf29d00dea91 · outbound

This paper cites Semi-supervised deep dynamic probabilistic latent variable model for multimode process soft sensor application,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Semi-supervised deep dynamic probabilistic latent variable model for multimode process soft sensor application,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:38.559042Z

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 6123c6a0-5bcc-4e89-bbeb-ad21e853fd85 · outbound

This paper cites InfoGAN: Interpretable representation learning by infor- mation maximizing generative adversarial nets,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning InfoGAN: Interpretable representation learning by infor- mation maximizing generative adversarial nets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:38.298715Z

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 dc7ac342-a19f-4921-93c6-8cace43f3e1f · outbound

This paper cites A survey on multi-task learning,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning A survey on multi-task learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:36.846622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d1c7b6-f953-46ed-acec-ef230013f1fe · outbound

This paper cites Maximum entropy inverse reinforcement learning,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Maximum entropy inverse reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:38.051529Z

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 8241523d-ae10-46dd-b050-14e0d177d8d2 · outbound

This paper cites Meta-inverse reinforcement learning with probabilistic context variables,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Meta-inverse reinforcement learning with probabilistic context variables,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:37.764251Z

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 eea7620c-c0fc-471d-98a9-9d0b1d5090a5 · outbound

This paper cites Reinforcement learning for batch bioprocess optimiza- tion,.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Reinforcement learning for batch bioprocess optimiza- tion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:37.542930Z

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 bae350cd-7a0d-40dc-a29f-65ce76d02e5c · outbound

This paper cites Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives.

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:50:37.341180Z

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.

Pith citing papers

No inbound Pith citation observations are available.