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Paper Citation Record · LEDGER

Towards an Intention Abstraction Layer for Autonomous Industrial Systems

As of 18 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 2026-08-17T06:30:58.91139+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=sha256:06c00a440d6bac3cd940c83fe869f9ab6558e53e4d67498e441e2b7fafb0acd2

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=sha256:9db5d72362fb840df48d854ca82343b2fe6019292ae16555270b0195054f72ca

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=sha256:56e4bcc0646b8e1669f0149852479ca3fe14466f1aa153b45107e9c75f55a0cf

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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unresolved
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:c427fc1250cd5edbeb16b37645345a161cb5ca71a6e9f251563b2f3bcff6d238

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=sha256:6389f332f52d217de5cf2b28b6f552e110721c308398917a9182655c8c2296c8

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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unresolved
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=sha256:34824992d29da4e45dd587bba93714c4aab62cb97cde8951dad0696d22f7ed47

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=sha256:72ad037058911e70609ecfc1e6cbbc61c107a2aa00e583a399a0305438cea373

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=sha256:6a029a597bbab453d25463187630162341ec01580b9919f2de8a70c1d5b01e43

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

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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=sha256:84c76777c03791aba52fb16923c88e3c40f6dd91a11f91ab7f3451e01405fe79

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=sha256:0d0bf1f9664fef28de3319d29196ea756586dac5ee679775c45f859cca4e70f2

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.552891Z digest=sha256:98de5f65e087b476b647f1c00ad72a3af8d2e57eae013c055ca3ae833e0aa444

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.612297Z digest=sha256:f1e72ba2d129f613f2b4f98a71b8ec13b3fca8887d3ffeb1f66c4fea92ab42a0

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

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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=sha256:775da61b1a05a077d1c9c99f159712453656a6e129dee06419f9e510f7e2fa2a

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:49:30.746373Z digest=sha256:32c253bf6e4d38c1d4a734dd9dc999b405efe12ea09edf22edcaa2d4eed53063

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:e1526e3f8a0a8247083518ea4d79c37e6a3fc93f6557b91a2f2f160919ea5eef

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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source=pdf_text observed=2026-08-02T01:49:30.903963Z digest=sha256:40011df288efe8432a7d3dbc48c1fdad5f90a4b131339d9954a1413c30dc4301

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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source=pdf_text observed=2026-08-02T01:49:30.955446Z digest=sha256:67f410e3f649d40aa4f3c5e1f013e0283aefee90673e65db7769b23bb7cc3995

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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source=pdf_text observed=2026-08-02T01:49:31.008619Z digest=sha256:b3db4009d57de436613c4d3fc194ad693497dcac854f1848e04eb100bb236070

Pith citing papers

No inbound Pith citation observations are available.