Paper Citation Record · LEDGER

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.22289.

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

pith.paper-citation-record.v1
2507.22289 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:56:16.036801Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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 fuzzy10
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77278a32-8f92-4f8f-9fe7-25a8b9699523 · outbound

This paper cites In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 17554–17567.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 17554–17567

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.225357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f72898eb-d819-4808-9067-9c4c042f2ca5 · outbound

This paper cites In Proceedings of the 5th Workshop on NLP for Conver- sational AI (NLP4ConvAI 2023), pages 140–154.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Proceedings of the 5th Workshop on NLP for Conver- sational AI (NLP4ConvAI 2023), pages 140–154

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.205526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba05165a-3443-443b-9024-4a7f3528c8d3 · outbound

This paper cites In Findings of the Association for Computational Lin- guistics: EMNLP 2024 , pages 9100–9112, Miami, Florida, USA.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Findings of the Association for Computational Lin- guistics: EMNLP 2024 , pages 9100–9112, Miami, Florida, USA

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.195491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7950ef3f-36ab-43ed-94fa-5707d8334755 · outbound

This paper cites The Llama 3 Herd of Models.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:16.007518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 173e5c47-baca-4384-ad54-7018310571be · outbound

This paper cites Mixtral of Experts.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations Mixtral of Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:16.011230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159169cb-2f77-4038-a0e5-f19e55822117 · outbound

This paper cites an unresolved cited work.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:56:16.184040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ebe09f75-adfd-4e02-ad3e-cd2514cc11bc · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 13138–13146, Miami, Florida, USA.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 13138–13146, Miami, Florida, USA

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.173039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53d65c33-6b66-4c43-969c-931088d60928 · outbound

This paper cites In Findings of the Association for Computational Lin- guistics: EMNLP 2023, pages 3926–3939, Singapore.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Findings of the Association for Computational Lin- guistics: EMNLP 2023, pages 3926–3939, Singapore

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.151731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fdbce47-929c-4e31-a387-21ab76f43d73 · outbound

This paper cites In Proceedings of the 2024 Joint In- ternational Conference on Computational Linguis- tics, Language Resources and Evaluation (LREC- COLING.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Proceedings of the 2024 Joint In- ternational Conference on Computational Linguis- tics, Language Resources and Evaluation (LREC- COLING

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.141066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e37e3393-5b20-455b-955d-f51da41f43ea · outbound

This paper cites MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:56:16.071926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f01c7994-3f13-46d5-8ca2-e7de987876ef · outbound

This paper cites i n t e n t.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations i n t e n t

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.130159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57bc0438-66d1-4761-8f72-6ea5b6fb3779 · outbound

This paper cites Hyperspherical Variational Auto-Encoders.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations Hyperspherical Variational Auto-Encoders

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:15.986048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d551516-cebc-45db-b7c6-7e2769b27de8 · outbound

This paper cites an unresolved cited work.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:56:16.215227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1365b2a-c301-45d5-933f-1e33f5f9dd7e · outbound

This paper cites Efficient Intent Detection with Dual Sentence Encoders.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations Efficient Intent Detection with Dual Sentence Encoders

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:15.978127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c501f2-06b5-40fd-911f-685b402ab498 · outbound

This paper cites In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages 188–197, Abu Dhabi, UAE.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages 188–197, Abu Dhabi, UAE

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.162286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58393550-da5f-4b68-8090-115c0b1a45fb · outbound

This paper cites In Proceedings of the 2023 8th international conference on machine learning technologies, pages 151–156.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Proceedings of the 2023 8th international conference on machine learning technologies, pages 151–156

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.235213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d459a5ff-e62d-40e2-830f-00b4f2782a4d · outbound

This paper cites In Proceed- ings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages 1559–1570, Miami, Florida, US.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations In Proceed- ings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages 1559–1570, Miami, Florida, US

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:16.245045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7737f6e0-8052-44f9-b773-ca40ddb51525 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:15.990498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.