{"as_of":"2026-08-19T15:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56444e147a091e29270f7461a58dd4482f816d7d4ea9604013fb2014bd67d678","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:26:09.796799Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.13006/citation-record","integrity":"/paper/2505.13006/integrity","json":"/paper/2505.13006/citation-record.json","paper":"/paper/2505.13006"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:10.345069Z","title":"Barrasa, J","venue":null,"work_id":"ea6474d2-8c7d-4688-a70f-be36e05f689f","year":2023},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.687731Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:0c0c19217ead552a24ef64605f25d768f25649219a7ddc7b3d43ad191618643a","observation_id":"2954031a-e7b5-4f3e-9b0c-3b90a937c4e5","resolution":{"observed_at":"2026-08-15T20:26:10.349855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14087","last_updated":"2023-05-23T14:11:42Z","snapshot_observed_at":"2026-08-19T03:56:42.807163Z","submitted_at":"2023-05-23T14:11:42Z","title":"BM25 Query Augmentation Learned End-to-End","version":1},"cited_work":{"arxiv_id":"2305.14087","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.14087","snapshot_observed_at":"2026-08-15T20:26:10.279941Z","title":"BM25 Query Augmentation Learned End-to-End","venue":"cs.CL","work_id":"8a12da15-0f48-432d-8466-d605e96bfb07","year":2023},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.693078Z"},"links":{"cited_paper":"/paper/2305.14087","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:1cc1840b143c3cccfd807c703670563a0047386c782f98fff56f32bf6b4f84d0","observation_id":"bdfb09b7-1770-41b7-b0de-614147ff59a3","resolution":{"observed_at":"2026-08-15T20:26:10.284893Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-08-16T12:38:40.131901Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-15T20:26:09.697888Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.697888Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:cbdab81deeb63ea52d177551d2139fbd4f5cee2dced809cb9d583f4a7566af30","observation_id":"00cf8a11-9868-497f-889d-0b0cbe1216ee","resolution":{"observed_at":"2026-08-15T20:26:09.697888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15363","last_updated":"2023-11-20T13:59:16Z","snapshot_observed_at":"2026-08-16T15:04:54.207531Z","submitted_at":"2023-08-29T14:59:54Z","title":"Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15363","snapshot_observed_at":"2026-08-15T20:26:09.702767Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.702767Z"},"links":{"cited_paper":"/paper/2308.15363","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:7ad3496e9d8540cfb6b940f9d7f3796abd1463ba584459898af079bc5e77d2b3","observation_id":"b8965ba8-db82-4d55-9d73-601a691655df","resolution":{"observed_at":"2026-08-15T20:26:09.702767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-15T20:26:09.708182Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.708182Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:766979cc40a2333147c6a57584fa4386a79b095a89df6e04a9eece47eb59eca5","observation_id":"d563b9c9-c824-43d6-afab-a3b6d61ed8b5","resolution":{"observed_at":"2026-08-15T20:26:09.708182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:09.713280Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.713280Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:c03ed436704cb0e77f05404abfcff23e68d9b1dc3ce195cd5dec274a8c3963c1","observation_id":"773f105d-fbef-4efd-8887-9c9a20306eb1","resolution":{"observed_at":"2026-08-15T20:26:09.713280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05074","last_updated":"2023-09-04T08:10:03Z","snapshot_observed_at":"2026-08-18T19:12:50.420423Z","submitted_at":"2023-07-11T07:16:22Z","title":"Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain","version":2},"cited_work":{"arxiv_id":"2307.05074","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.05074","snapshot_observed_at":"2026-08-15T20:26:10.134479Z","title":"Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain","venue":"cs.IR","work_id":"420a07df-9f4e-4973-9b61-5e8a6d65c797","year":2023},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.718478Z"},"links":{"cited_paper":"/paper/2307.05074","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:baf8af1417bfb244257eda68175626f669c4dfc3c12c022797aa403a6bee569e","observation_id":"ca98010c-7b63-4dd5-869f-6f03f0c25b34","resolution":{"observed_at":"2026-08-15T20:26:10.140071Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06681","last_updated":"2024-05-05T18:32:06Z","snapshot_observed_at":"2026-08-16T13:55:15.165153Z","submitted_at":"2024-05-05T18:32:06Z","title":"Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06681","snapshot_observed_at":"2026-08-15T20:26:09.723408Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.723408Z"},"links":{"cited_paper":"/paper/2405.06681","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:4791046f152871a28a8028e4982a1a70f684e20fa6ae3c19050aa40b9b45d64b","observation_id":"4ccfaf66-40c1-49d5-a38f-a5a43cfb6eac","resolution":{"observed_at":"2026-08-15T20:26:09.723408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.08942","last_updated":"2021-02-17T18:56:03Z","snapshot_observed_at":"2026-08-16T18:44:51.917570Z","submitted_at":"2021-02-17T18:56:03Z","title":"A Survey on Locality Sensitive Hashing Algorithms and their Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.08942","snapshot_observed_at":"2026-08-15T20:26:09.728244Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.728244Z"},"links":{"cited_paper":"/paper/2102.08942","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:1729259b1af7071c52e0b405b96bc4c85df31eed0dbce7b5f0773ad9c435f83e","observation_id":"a16c591a-a35c-44ce-a8e3-2750a91a1457","resolution":{"observed_at":"2026-08-15T20:26:09.728244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:10.329706Z","title":null,"venue":null,"work_id":"6d87d473-7204-4756-bad8-5de02411faba","year":2017},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.733661Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:831c22c4f7b4a3ed62dae4ba42fa46e27957a8ba1224644e5150a2c28e4f34bc","observation_id":"72516dc5-b174-4430-ae49-79537d651d82","resolution":{"observed_at":"2026-08-15T20:26:10.334454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-15T20:26:09.738283Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.738283Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:095862066a802592437c83a04b474fa451f61201079f3a35aaa9ad32d5469fad","observation_id":"f62947c2-2520-4dc8-a406-aac5e275365d","resolution":{"observed_at":"2026-08-15T20:26:09.738283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:09.743815Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.743815Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:ec8d784f80cfe3cadc83777504c65b4bb255ae33e69ae9ca52aacf2d72c79485","observation_id":"518b52a8-42cb-4182-85c4-2db96de98448","resolution":{"observed_at":"2026-08-15T20:26:09.743815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17050","last_updated":"2023-09-29T08:23:19Z","snapshot_observed_at":"2026-08-16T14:56:36.294315Z","submitted_at":"2023-09-29T08:23:19Z","title":"Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17050","snapshot_observed_at":"2026-08-15T20:26:09.748495Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.748495Z"},"links":{"cited_paper":"/paper/2309.17050","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:68a7d4fcbb6e294c3fa9be48026d220e6562f008f3a7ed28af5db73c3c535ee9","observation_id":"8b02e7f3-4305-40a8-8072-870703617e73","resolution":{"observed_at":"2026-08-15T20:26:09.748495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00117","last_updated":"2020-09-30T21:50:46Z","snapshot_observed_at":"2026-08-18T09:35:19.422214Z","submitted_at":"2020-09-30T21:50:46Z","title":"Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2010.00117","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.00117","snapshot_observed_at":"2026-08-15T20:26:09.928654Z","title":"Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning","venue":"cs.CL","work_id":"291da1eb-cfdd-47ff-8d6d-d3b219b7601e","year":2020},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.753393Z"},"links":{"cited_paper":"/paper/2010.00117","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:c238e44a6b770ba33ba63cab9a45a91387cc8381732230bec17fe28942d27565","observation_id":"770a7520-fbe8-418b-aaa5-6deae657ff2f","resolution":{"observed_at":"2026-08-15T20:26:09.936565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-15T20:26:09.758152Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.758152Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:393b57f686c675d32424402d51fb30849e0be209df76bcb02b9e93c3b3822677","observation_id":"8d343eea-e576-4d0c-8a1c-ad3aacf69b5d","resolution":{"observed_at":"2026-08-15T20:26:09.758152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00498","last_updated":"2022-03-15T17:23:53Z","snapshot_observed_at":"2026-08-16T17:14:21.031207Z","submitted_at":"2022-03-15T17:23:53Z","title":"Evaluating the Text-to-SQL Capabilities of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.00498","snapshot_observed_at":"2026-08-15T20:26:09.762740Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.762740Z"},"links":{"cited_paper":"/paper/2204.00498","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:a501fe5052a5c534328407dd5a626ab38befae472d2ba4a6ca8c2a22896f5930","observation_id":"7db2f7ff-abd3-4bb2-8600-a5bf5a0718ad","resolution":{"observed_at":"2026-08-15T20:26:09.762740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:10.314246Z","title":null,"venue":null,"work_id":"96124488-b901-4a74-b096-2c3d9728354a","year":2024},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.768383Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:97373d2ae421cf067cb27181ffb2f65869f18632a53e88376706138da5d553d2","observation_id":"19cf00bb-8d68-4bc3-9078-d6ee9d868709","resolution":{"observed_at":"2026-08-15T20:26:10.318949Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:09.772641Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.772641Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:1238978d06b262d7a84d600e2ef99bee00e51bfd16e7ffbc4cb4b9a56bc16599","observation_id":"73acda78-057e-4835-81d6-3aa6f79c566e","resolution":{"observed_at":"2026-08-15T20:26:09.772641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:09.777248Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.777248Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:00cb8d673cb78dd18ff3166d44338286875bfe43d25977dcaf248baffbc9e704","observation_id":"cc7d7648-18dd-433f-be76-317a19d88ab6","resolution":{"observed_at":"2026-08-15T20:26:09.777248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04948","last_updated":"2024-08-09T09:07:48Z","snapshot_observed_at":"2026-08-16T13:27:30.273217Z","submitted_at":"2024-08-09T09:07:48Z","title":"HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04948","snapshot_observed_at":"2026-08-15T20:26:09.782094Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.782094Z"},"links":{"cited_paper":"/paper/2408.04948","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:464d866b5467491325dabfb6441d835f79eeaa22a3f9ff452bcc6a8bce38cf53","observation_id":"391eae74-3858-437e-86c0-85e6598751ef","resolution":{"observed_at":"2026-08-15T20:26:09.782094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11817","last_updated":"2025-02-13T08:11:25Z","snapshot_observed_at":"2026-08-16T19:44:00.811684Z","submitted_at":"2024-01-22T10:26:14Z","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11817","snapshot_observed_at":"2026-08-15T20:26:09.786732Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.786732Z"},"links":{"cited_paper":"/paper/2401.11817","citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:32620b6af8e06fe06b8285f21b27ee21cecfef827abf2f8df3b5529c2d5475d8","observation_id":"cf588ec5-c3c8-43ce-ac16-908d4e46dcb0","resolution":{"observed_at":"2026-08-15T20:26:09.786732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:09.791426Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.791426Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:0ad10e7e563f633c749c12fcbea1d593e7e6d10b6831970ed3c7f2f3dc62e2d5","observation_id":"5ca984c6-7892-4e90-accf-729412ca2425","resolution":{"observed_at":"2026-08-15T20:26:09.791426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:26:09.796799Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T20:26:09.796799Z"},"links":{"citing_paper":"/paper/2505.13006"},"observation_digest":"sha256:49b4e6ebfec96f72ed8944855296d32b7e8841f28a7aff6d4db976e2b4f4b104","observation_id":"1e5af73d-bee5-4bc2-abf7-c393efbd3f5e","resolution":{"observed_at":"2026-08-15T20:26:09.796799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.13006","last_updated":"2025-05-19T11:46:30Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T10:19:38.633931Z","submitted_at":"2025-05-19T11:46:30Z","title":"Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":3,"verified_fuzzy":1},"total_outbound_references":23},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"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."}