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Paper Citation Record · LEDGER

Towards an Intention Abstraction Layer for Autonomous Industrial Systems

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.14553.

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

pith.paper-citation-record.v1
2607.14553 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:49:31.008619Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03c1abf8-aa13-4375-90e5-0a2dfbac3fa1 · outbound

This paper cites Intention-based engineering for the early design phases and the automation of modular process plants,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Intention-based engineering for the early design phases and the automation of modular process plants,

Reference 1

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no resolver link, observed 2026-08-02T01:49:29.259026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:29.259026Z digest=sha256:1f46872a8197112317d7a61e720aa2694a7142f536d06cb992c95a7acff9ebc8

Observation 38ac73fc-1e5c-4096-abcd-92732a9f7a4d · outbound

This paper cites Design and implementation of an autonomous systems training environment framework for control algorithm evaluation in autonomous plant operation,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Design and implementation of an autonomous systems training environment framework for control algorithm evaluation in autonomous plant operation,

Reference 2

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no resolver link, observed 2026-08-02T01:49:29.418086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:29.418086Z digest=sha256:7332a7df952a34403c31059e238f855a8d18f5fe0c3c3896edcce6dd2ed7a9c5

Observation 07fecd8a-46b7-44eb-93df-fe28dc5fc9c2 · outbound

This paper cites The contract net protocol: High-level communication and control in a distributed problem solver,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems The contract net protocol: High-level communication and control in a distributed problem solver,

Reference 3

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no resolver link, observed 2026-08-02T01:49:29.598139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:29.598139Z digest=sha256:b030645259d922c86bcf99e9d01a8e11f09de9e6031b8276684404a5fb36d4c0

Observation 348648d7-56ad-4a7a-88f2-4916d21fcbe0 · outbound

This paper cites FIPA ACL message struc- ture specification,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems FIPA ACL message struc- ture specification,

Reference 4

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no resolver link, observed 2026-08-02T01:49:29.747440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:29.747440Z digest=sha256:660bf4c46c56ed2a249b00cf07f5cdee5230340690782febb6c59d33064e83b8

Observation c41c7dc0-b7da-4198-9d5c-2d37d0b8ec95 · outbound

This paper cites IntentGPT: Few-shot intent discovery with large language models,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems IntentGPT: Few-shot intent discovery with large language models,

Reference 5

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no resolver link, observed 2026-08-02T01:49:29.899128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:29.899128Z digest=sha256:417021aa2e8b0c770724ab2de8b6de0954f991739bf57e1c3fba85f8369ade6a

Observation 679fa80d-3248-4a62-bf02-bc1013c6ccf3 · outbound

This paper cites Goal-oriented requirements engineering: A guided tour,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Goal-oriented requirements engineering: A guided tour,

Reference 6

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no resolver link, observed 2026-08-02T01:49:30.056086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.056086Z digest=sha256:5cd8aa7ae2cd200eabfb37886ab1a15fb65bff33a28da6fbcaefc7e524e0ce5b

Observation c5f1a5cb-0191-4df3-9f65-850c9b7a4a88 · outbound

This paper cites BDI agents: From theory to practice,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems BDI agents: From theory to practice,

Reference 7

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no resolver link, observed 2026-08-02T01:49:30.231407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.231407Z digest=sha256:08b26fdcb4489b41607c5cfc67657e21bb9d18b89c3f277bf3874e83dd23116e

Observation b427d180-89c3-4569-992f-933df0c891c4 · outbound

This paper cites Integrating machine learning into belief- desire-intention agents: Current advances and open challenges,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Integrating machine learning into belief- desire-intention agents: Current advances and open challenges,

Reference 8

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no resolver link, observed 2026-08-02T01:49:30.344271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.344271Z digest=sha256:1ef1a3f01474b97659f51ef15c144d57309d2198ce6f1b5310a8314839cf7c86

Observation fba6a20e-abb1-4b56-9976-3162454b6cbb · outbound

This paper cites Devel- opment and integration of operator behavior models for the evaluation of autonomous plants,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Devel- opment and integration of operator behavior models for the evaluation of autonomous plants,

Reference 9

Resolution
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no resolver link, observed 2026-08-02T01:49:30.409349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.409349Z digest=sha256:b5e81c6596e18303939d504957713b81ba033f479a7b51915d44c908f10974da

Observation fb2d7643-d16b-4c71-a675-d0125458065a · outbound

This paper cites LLM-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems LLM-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models,

Reference 10

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no resolver link, observed 2026-08-02T01:49:30.479577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.479577Z digest=sha256:9502db130201838aca3c177092374450fbd6a46e7088068b93ab708f15b6101b

Observation d9b4f176-9fff-4838-9766-e75756f1d84e · outbound

This paper cites Towards autonomous system: Flexible modular production system enhanced with large lan- guage model agents,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Towards autonomous system: Flexible modular production system enhanced with large lan- guage model agents,

Reference 11

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no resolver link, observed 2026-08-02T01:49:30.552891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.552891Z digest=sha256:77272ed8bbb93f8f2a1cc398144d3663ff9139bdc86d987699841de373e3158f

Observation 06a6fc09-0dcc-4bbf-a7d4-bdb0215bdee2 · outbound

This paper cites Control indus- trial automation systems with large language models,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Control indus- trial automation systems with large language models,

Reference 12

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no resolver link, observed 2026-08-02T01:49:30.612297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.612297Z digest=sha256:001321110baad6c132f507b8abbaba82bb490d96fc90b3dcea6118bfb4df8906

Observation 9939459c-043d-4254-9d34-84f628968ca7 · outbound

This paper cites A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems

Reference 13

Resolution
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no resolver link, observed 2026-08-02T01:49:30.673319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.673319Z digest=sha256:8ccbed116afde169ee332d7a236091430f6c668849fc6347ed29d9e128f87c29

Observation 2338b3a9-4e0d-4753-8759-36e420762000 · outbound

This paper cites Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation

Reference 14

Resolution
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no resolver link, observed 2026-08-02T01:49:30.746373Z

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source=pdf_text observed=2026-08-02T01:49:30.746373Z digest=sha256:de10ebaca4c5b4b78215674b6ccaa9be06810c864d11bd5ddc6be1e7a39887d0

Observation 8f099be0-6ead-40c0-88f8-15921f9e301c · outbound

This paper cites An architecture for integrating large language models with digital twins and automation systems,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems An architecture for integrating large language models with digital twins and automation systems,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.831056Z digest=sha256:d88c3157a5a7dd297472e9ade64f337a4a5dd652760bb37002dd39289ecb095d

Observation 201ec507-a6f3-4b44-b228-1492102f5dab · outbound

This paper cites NL2IBE: Ontology-controlled transfor- mation of natural language into formalized engineering artefacts,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems NL2IBE: Ontology-controlled transfor- mation of natural language into formalized engineering artefacts,

Reference 16

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no resolver link, observed 2026-08-02T01:49:30.903963Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.903963Z digest=sha256:5f94595e8113b4f64c20ac1aba53c518df640f2c461593c93656e57135fb0083

Observation ed28423a-8425-480d-b158-f716ef30ba67 · outbound

This paper cites Beyond formal semantics for capabilities and skills: Model context protocol in manu- facturing,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems Beyond formal semantics for capabilities and skills: Model context protocol in manu- facturing,

Reference 17

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no resolver link, observed 2026-08-02T01:49:30.955446Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.955446Z digest=sha256:d89b3ec9fe3c384c4c0559ad30c9986452be3c9d13e848fc464921a62dec56a4

Observation 56c9a843-c243-499e-8821-fea961f0a749 · outbound

This paper cites OWL web ontology language overview,.

Towards an Intention Abstraction Layer for Autonomous Industrial Systems OWL web ontology language overview,

Reference 18

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no resolver link, observed 2026-08-02T01:49:31.008619Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:31.008619Z digest=sha256:233c7f4b962dc39ad128247503e63ebcc8c27651ad3fd1c9eefe06c689f1e442

Pith citing papers

No inbound Pith citation observations are available.