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Paper Citation Record · LEDGER

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance

As of 21 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2605.24953.

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

pith.paper-citation-record.v1
2605.24953 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:40:24.295039Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved0
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c669dd0-49be-40a6-9af7-46e2be7772b6 · outbound

This paper cites AssetOpsBench: AI Agents for Industrial Asset Operations and Maintenance.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance AssetOpsBench: AI Agents for Industrial Asset Operations and Maintenance

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.220176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:b21116410a08583e65c877144286c62a3bfa32a13055db0ff14c8d879a147ac4

Observation 36e8498a-d86e-43d0-bfa3-c837ba84f1be · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.218235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:1751719d3abfbdb190d125bc5d2c34c7b8c3b9209a9ce884cb387f5261f1115e

Observation 658b25a0-95c4-4ede-a1e9-713605957043 · outbound

This paper cites Patil, Ion Stoica, and Joseph E.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Patil, Ion Stoica, and Joseph E

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.214271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:8febdccfad5c3a5cb2aeee36fd7ed9d49762629938d33d25756d6e7143014a33

Observation 5e1a1c13-04f8-40a4-b402-781ea3bfb1dc · outbound

This paper cites Rayfield, Shuxin Lin, Nianjun Zhou, and Dhaval C.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Rayfield, Shuxin Lin, Nianjun Zhou, and Dhaval C

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.222051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:fbdc0fd96870f0227094343737330aa9cf6c1953304a06be66652a1e8afa9076

Observation 514e5279-5b51-42de-9754-69b99fefeae2 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.223993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:8885457b4965ed1fb73b2343e49287be94ffd6ba58aed6043d82488a43fd2114

Observation 00d4d113-6fd4-41ca-bbc8-a7484076e963 · outbound

This paper cites Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications, 2024.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications, 2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.212192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:c56d9def7293cdebd3947f8fd2cda5dcadf24cdda7a79823035fe73c74ee283f

Observation cd4e409a-cea9-4db1-8160-08c8cc192421 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation, 2023.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation, 2023

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.226225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:4fb1eaf9029a6ec7853a4692a9496029d6c2c7695e9dc2d6451b355663153ecc

Observation b1355551-d5ac-480d-9bda-2a288f8ede14 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance ReAct: Synergizing Reasoning and Acting in Language Models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.216348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:753d189e80aae5a149d21c12cfe1aff651aec4f41f4720be1de61fee1de7ecf1

Observation b5663fe9-eefd-40ea-95c9-8427446ebef5 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Xing, Hao Zhang, Joseph E

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.208159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:295309024282809214ea1895878d1fc5a82b1ca82c16fd71daeabf93cf473026

Observation 2a2fc1da-45b0-43a2-ad24-bf6bef1e325f · outbound

This paper cites an unresolved cited work.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Unresolved cited work

Reference 11

Resolution
parse uncertain
raw_fallback, observed 2026-07-09T09:06:07.210228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:930a2885ec52407fd42de2911232caaaae96b0f741c43ffe1e7da878a1b34708

Observation 1355be9a-9057-4272-afc1-cb4a735964ab · outbound

This paper cites Predictive maintenance in the Industry 4.0: A systematic literature review.Computers & Industrial Engineering, 150:106889, 2020.

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Predictive maintenance in the Industry 4.0: A systematic literature review.Computers & Industrial Engineering, 150:106889, 2020

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:06:07.205998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T11:40:24.295039Z digest=sha256:f32004290960762321ddb1075edfb40b12b3e76f837f08aa845d2a8b18776c1d

Pith citing papers

No inbound Pith citation observations are available.