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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=sha256:61f1b98f7c02271e47f09b8edec56be60adc2842d3171d23c6342a74c290d345

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=sha256:20b04eafe2a0dd3064a7cfbb194af9081750989fa56f609d9a54195bb6620c48

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=sha256:7bbd20bf86c51d4b507e1e0c3b0bd195105c4a4c9593f6773dd8f46c66a6a67c

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:dfe395042e1f4bfedab9020dc9e9f246333e08c5873908ae3ca95d78d480b466

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:ab3fe2a1982ea776da8e385fbdbcff136e1239ee8f7d049634f05bec416a22a4

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=sha256:5dc8eaf0e47077b525356517bddee923ac9697d9b90dc157f4841ff3bfc22159

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=sha256:9a9085abf76705bba73f1221000a141941f71475453e104bdc5d1c0091b15ef7

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=sha256:493f6e65aab9b136dc96471fe6c4a82a5d96f01009a549ed76090a439334207c

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:afb1dd582921967293a66bae6d3aa38fa1f77f8f6044ccaa4d462785e80e1fe9