Paper Citation Record · LEDGER

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.13006.

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

pith.paper-citation-record.v1
2505.13006 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:26:09.796799Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

23 of 23 outbound references displayed

verified exact3
verified fuzzy1
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2954031a-e7b5-4f3e-9b0c-3b90a937c4e5 · outbound

This paper cites Barrasa, J.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Barrasa, J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:10.349855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bdfb09b7-1770-41b7-b0de-614147ff59a3 · outbound

This paper cites BM25 Query Augmentation Learned End-to-End.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain BM25 Query Augmentation Learned End-to-End

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:26:10.284893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00cf8a11-9868-497f-889d-0b0cbe1216ee · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.697888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8965ba8-db82-4d55-9d73-601a691655df · outbound

This paper cites Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.702767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d563b9c9-c824-43d6-afab-a3b6d61ed8b5 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.708182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 773f105d-fbef-4efd-8887-9c9a20306eb1 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.713280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca98010c-7b63-4dd5-869f-6f03f0c25b34 · outbound

This paper cites Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:26:10.140071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ccfaf66-40c1-49d5-a38f-a5a43cfb6eac · outbound

This paper cites Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.723408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a16c591a-a35c-44ce-a8e3-2750a91a1457 · outbound

This paper cites A Survey on Locality Sensitive Hashing Algorithms and their Applications.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain A Survey on Locality Sensitive Hashing Algorithms and their Applications

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.728244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72516dc5-b174-4430-ae49-79537d651d82 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:26:10.334454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f62947c2-2520-4dc8-a406-aac5e275365d · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.738283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518b52a8-42cb-4182-85c4-2db96de98448 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.743815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b02e7f3-4305-40a8-8072-870703617e73 · outbound

This paper cites Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.748495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770a7520-fbe8-418b-aaa5-6deae657ff2f · outbound

This paper cites Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:26:09.936565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d343eea-e576-4d0c-8a1c-ad3aacf69b5d · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Efficient Estimation of Word Representations in Vector Space

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.758152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db2f7ff-abd3-4bb2-8600-a5bf5a0718ad · outbound

This paper cites Evaluating the Text-to-SQL Capabilities of Large Language Models.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Evaluating the Text-to-SQL Capabilities of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.762740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cf00bb-8d68-4bc3-9078-d6ee9d868709 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:26:10.318949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73acda78-057e-4835-81d6-3aa6f79c566e · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.772641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7d7648-18dd-433f-be76-317a19d88ab6 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.777248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391eae74-3858-437e-86c0-85e6598751ef · outbound

This paper cites HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.782094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf588ec5-c3c8-43ce-ac16-908d4e46dcb0 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.786732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca984c6-7892-4e90-accf-729412ca2425 · outbound

This paper cites online" 'onlinestring :=.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain online" 'onlinestring :=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.791426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5af73d-bee5-4bc2-abf7-c393efbd3f5e · outbound

This paper cites write newline.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain write newline

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:09.796799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.