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Paper Citation Record · LEDGER

Pre-Trained Large Language Models for Industrial Control

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2308.03028.

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

pith.paper-citation-record.v1
2308.03028 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:59:08.616393Z

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

8
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 8567fd18-93e3-4a7f-94b8-f774d967d336 · inbound

Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking cites this paper.

Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking Pre-Trained Large Language Models for Industrial Control

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-12T19:59:08.616393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:59:08.616393Z digest=sha256:45a7ce45febe45cb8f08dc11fb9e74de8535e0e86c053180d62326dce9dc30ff

Observation 8f1d8d40-ec28-4e87-96a1-ccc97eab63cc · inbound

Using Large Language Models for Parametric Shape Optimization cites this paper.

Using Large Language Models for Parametric Shape Optimization Pre-Trained Large Language Models for Industrial Control

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:53.964315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:53.964315Z digest=sha256:024560d845e9a6c3a7d453c9eb924a7f46c53b0210a84d8da54666b7019546bb

Observation 209cc4b5-3e5b-4a73-9c9e-4f7fadc22906 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges Pre-Trained Large Language Models for Industrial Control

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.825820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.825820Z digest=sha256:427be72de4bcb9f78c98fb97fb1f674ac8cd86ba02131aa99d76139837a24984

Observation aa0124b9-2faf-4900-b077-4813b752db7d · inbound

When control meets large language models: From words to dynamics cites this paper.

When control meets large language models: From words to dynamics Pre-Trained Large Language Models for Industrial Control

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:54:13.203614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T14:52:44.632671Z digest=sha256:fe356353285dd4e5cd858a543c39873c5aff19a54a760d4245acb4ed840f1832

Observation a5175af5-0f75-40d4-ba74-0cd6e262f8e2 · inbound

ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph cites this paper.

ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph Pre-Trained Large Language Models for Industrial Control

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:39:14.802229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T08:37:59.374023Z digest=sha256:60d0487769956a13435108f81f0f42a34b6e0f10b9b2ed8b314624718f767ec4

Observation 9b1b4243-82e4-4676-afc8-460546fe32a4 · inbound

From Detection to Action: Using LLM Agents for Fault-Tolerant Control cites this paper.

From Detection to Action: Using LLM Agents for Fault-Tolerant Control Pre-Trained Large Language Models for Industrial Control

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T03:43:04.859031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T03:26:54.609018Z digest=sha256:b9a25c7bbafe864650096f46065a60b470180ee3fb4f55c5c7861e2a70a583f7

Observation d39b8a4b-4224-4f28-9bcb-266c6fa4ed90 · inbound

Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models cites this paper.

Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models Pre-Trained Large Language Models for Industrial Control

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T04:05:19.483287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T04:04:04.791451Z digest=sha256:e203b3930539e5abd175f006f4a74cfe58c09b76fc581bd51b2154bf96abc8e6

Observation 75ab0435-dd51-48e1-81f7-b13152d07294 · inbound

A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents cites this paper.

A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents Pre-Trained Large Language Models for Industrial Control

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T04:05:20.221994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T03:58:22.502954Z digest=sha256:ec843ebab60164f88d420816207de6a727a1f17a5505b67dc5222436d5b05c68

Observation 89ef0538-d7b8-4a44-897a-95f03c4196ce · inbound

Exact Action Values Are Not Enough: Rollout-Verified Reinforcement Fine-Tuning of a Reasoning Model for Multi-Zone VAV Control cites this paper.

Exact Action Values Are Not Enough: Rollout-Verified Reinforcement Fine-Tuning of a Reasoning Model for Multi-Zone VAV Control Pre-Trained Large Language Models for Industrial Control

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-31T23:11:22.576995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:11:22.576995Z digest=sha256:902d9fb3050222a545827a6a0a75af6201304c4c75f8280c109dccdf9c49727b