{"as_of":"2026-08-13T23:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f61830a3df56619701d30367e8bd70bacfcfda495245c1980074040902475e21","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:21:45.316442Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2506.10802/citation-record","integrity":"/paper/2506.10802/integrity","json":"/paper/2506.10802/citation-record.json","paper":"/paper/2506.10802"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:21:41.618863Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:41.618863Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:a8b5e7affb1dc264a8cc7554f57c23539082984a49803c0b5d4a6a4ca32676c3","observation_id":"35e8fff3-3b7d-4ad4-b669-2e0c206da627","resolution":{"observed_at":"2026-08-07T04:21:41.618863Z","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":"2026-08-07T04:21:46.564627Z","title":null,"venue":null,"work_id":"6275485a-56e5-41dd-ab6c-f56a1ff9d289","year":2013},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:41.745104Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:dd688d96736a73f53f5c03666d243781e3e1f6d5d7eedcfdcc546e50430d057b","observation_id":"e69c3f90-9f1e-44d3-bfca-4a0fed1543d0","resolution":{"observed_at":"2026-08-07T04:21:46.568011Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:41.848231Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:41.848231Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:f6372f3ddef775a67b2c643703b60ef701b33948e5d06d9e5facd5a4a57b7e1f","observation_id":"1b27e0fd-f384-4958-aed1-082d0c71a13e","resolution":{"observed_at":"2026-08-07T04:21:41.848231Z","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":"2026-08-07T04:21:41.885149Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:41.885149Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:e4cf98fe9c7d3c4b602451f1a95ade8dc4eda1edd94091b252e8097ce127c682","observation_id":"c0fb5619-bd51-4fe2-8c58-996e847ec532","resolution":{"observed_at":"2026-08-07T04:21:41.885149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05339","last_updated":"2024-12-06T04:30:00Z","snapshot_observed_at":"2026-08-11T22:18:34.097830Z","submitted_at":"2024-12-06T04:30:00Z","title":"PyTerrier-GenRank: The PyTerrier Plugin for Reranking with Large Language Models","version":1},"cited_work":{"arxiv_id":"2412.05339","doi":"10.48550/arxiv.2412.05339","metadata_source":"pith","pith_arxiv_id":"2412.05339","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"PyTerrier-GenRank: The PyTerrier Plugin for Reranking with Large Language Models","venue":"cs.IR","work_id":"4893f426-930b-4b8c-bb3b-d1ac9522bcc7","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:41.944581Z"},"links":{"cited_paper":"/paper/2412.05339","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:38dea710374a8b5c9495846c721ff186c554004873edbfe6c5c055146cdd2dca","observation_id":"dc703d5e-fa24-4385-bf1b-c23336868342","resolution":{"observed_at":"2026-08-07T04:21:45.499758Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:21:46.553431Z","title":null,"venue":null,"work_id":"2e36dc88-ab82-413d-b630-396c2c6c63c6","year":2019},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.050672Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:74c159bd3c189ba9427fe4d0ec2eb86985ac31adee0b5f99882c0cc0bb3dfb29","observation_id":"4f4d44ad-ac5d-4818-b0cc-0a998e29de8d","resolution":{"observed_at":"2026-08-07T04:21:46.557892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.acl-long.115","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"84cc4593-f895-438a-9cf6-d17d6f4ea19b","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.316038Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:69aa98806b1af4ca0223ccab451657e0da535d5fd5f09b91306a61bcfabe327c","observation_id":"a61288c6-dfad-4c12-9760-dbaad7720bf1","resolution":{"observed_at":"2026-08-07T04:21:45.487101Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:21:46.543358Z","title":null,"venue":null,"work_id":"d1692e7e-ebac-4c47-b0e1-b4a5c19c3590","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.517459Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:923a50499c842e32144226b2fb2841d74589d424669fd151f9eb282eec2b889e","observation_id":"4423166a-c0d4-4026-8989-6c0c5be9fe3f","resolution":{"observed_at":"2026-08-07T04:21:46.546822Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:42.654999Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.654999Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:511bbcc32b70214279b314d64249cae74252ef83bb7bdba946a4ab79cdf76f43","observation_id":"8bacdafb-6596-4490-8b84-b7250ed699d7","resolution":{"observed_at":"2026-08-07T04:21:42.654999Z","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":"2026-08-07T04:21:42.733565Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.733565Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9592b63d57e90f6d32ed4df424144f38da38a7a4ae63c3e4fd86f84b29df7803","observation_id":"c7cbfb30-06d4-4948-b19c-de6c4fdb6bf0","resolution":{"observed_at":"2026-08-07T04:21:42.733565Z","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":"2026-08-07T04:21:42.833618Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.833618Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:97989bb0c4c3a334cffa73c5272090fc9bcd80ec3eb6d25e25ffade92753b388","observation_id":"018d1f51-99ef-42c8-97b5-d7664100c8cb","resolution":{"observed_at":"2026-08-07T04:21:42.833618Z","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":"2026-08-07T04:21:42.902247Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:42.902247Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:7d9f9a5cdf93c71dfeb0eb0017cf90ea8beea742d96a931456e0652962ac4122","observation_id":"1c3171cf-6da4-48c6-8342-20ff287dc062","resolution":{"observed_at":"2026-08-07T04:21:42.902247Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T04:21:43.014725Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.014725Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9fcbbe3dcebf4d424931a339111fc0d1e2c27cc7c28e5785bc5b3b2ff402be3c","observation_id":"62039de6-5e18-4781-bcaf-8df063b77dc6","resolution":{"observed_at":"2026-08-07T04:21:43.014725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13576","last_updated":"2025-02-24T02:46:52Z","snapshot_observed_at":"2026-08-13T00:02:15.030875Z","submitted_at":"2024-05-22T12:12:40Z","title":"FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13576","snapshot_observed_at":"2026-08-07T04:21:43.158136Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.158136Z"},"links":{"cited_paper":"/paper/2405.13576","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:4e010e1e6d91126da349825dae6385fa0c3a2aa7b061c65b1bbaa3c39858f009","observation_id":"c33277c7-46dd-4035-ac04-a501290a0b11","resolution":{"observed_at":"2026-08-07T04:21:43.158136Z","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":"2026-08-07T04:21:43.274124Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.274124Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:7eee4107f34b4eb12d8c249761d5d9309652ef194215b51938f86d2d02b9c1f7","observation_id":"108db6ab-681d-49c6-85ff-e520c79964da","resolution":{"observed_at":"2026-08-07T04:21:43.274124Z","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":"2026-08-07T04:21:43.375186Z","title":"Weld, and Luke Zettlemoyer","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.375186Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:809a0072b97439b106a21bd025e5544f749c2fa3757cf92a8ddac87fe4d4de4a","observation_id":"dba0dc68-9c76-4f31-a828-0bb888dd01e5","resolution":{"observed_at":"2026-08-07T04:21:43.375186Z","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":"2026-08-07T04:21:43.463382Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.463382Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:e74ed5cc0849c80f91fa8d4a3abbf43e80d376d77051f54de6c3390bcc8342f5","observation_id":"1c5c4e3b-767a-4bd2-9120-f1d84e5704f1","resolution":{"observed_at":"2026-08-07T04:21:43.463382Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T04:21:46.532687Z","title":"Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts","venue":null,"work_id":"f37eac47-524a-4ff7-91f7-e6f5287969e5","year":null},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.565149Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:241d901c7f540c41d36ce2c14957e283ceb644dfa0066e5685f5ec8949a24353","observation_id":"0c7193ad-c0f6-45f6-80c0-fbc26e0d182c","resolution":{"observed_at":"2026-08-07T04:21:46.536393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:43.818234Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.818234Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:be46671cc890b7b3627739bf82783a789f5dc3a0a300e8dee0f935c30f0220cf","observation_id":"d25691da-02d2-471f-83f8-c7cc474c7da1","resolution":{"observed_at":"2026-08-07T04:21:43.818234Z","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":"2026-08-07T04:21:43.910480Z","title":"Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob De- vlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.910480Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:5763ce69577c776d0936fecbdd13022fc96161525f35794d1c2961ceff895f3e","observation_id":"cdf0da11-682c-4ba5-91bd-87ac23a911a3","resolution":{"observed_at":"2026-08-07T04:21:43.910480Z","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":"2026-08-07T04:21:44.069158Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.069158Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:56fa5adcab9377cbad9eee3dd821f4e4a3fc8ada02e417e06cce5af2b89daa62","observation_id":"e2ec698c-8bae-4260-ab58-0543bfe29aac","resolution":{"observed_at":"2026-08-07T04:21:44.069158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11044","last_updated":"2022-07-01T03:33:00Z","snapshot_observed_at":"2026-08-13T18:23:25.784752Z","submitted_at":"2021-08-25T04:43:58Z","title":"Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls","version":2},"cited_work":{"arxiv_id":"2108.11044","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.11044","snapshot_observed_at":"2026-08-07T04:21:46.039471Z","title":"Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls","venue":"cs.IR","work_id":"5bf95538-b988-41bd-9a3b-dfb4856ca5f9","year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.196923Z"},"links":{"cited_paper":"/paper/2108.11044","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:81a6146d2fa760584f45b5ea4dbca47a140554209cbaffd5b5b732cc480d8441","observation_id":"e94d22f3-548a-4ce3-b98d-b4c53d8bea95","resolution":{"observed_at":"2026-08-07T04:21:46.043843Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2200/s01123ed1v01y202108hlt053","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"2021.Pretrained Trans- formers for Text Ranking: BERT and Beyond","venue":"Synthesis lectures on human language technologies","work_id":"07a03d8a-8f68-4617-8b7f-6e814d3dc22e","year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.336367Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:57435eea41094bda8b9cd3911cc21ba6a5f6cfbe2ce5b503702ba095f92b8bf0","observation_id":"37ab1efa-32fd-48e3-a065-0fe85361d9d9","resolution":{"observed_at":"2026-08-07T04:21:45.415223Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:21:46.515979Z","title":null,"venue":null,"work_id":"4e859971-535e-4664-b843-2ad75b22e88c","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.452566Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:1e493aa55c5f897a7d4398b47f4065d0ffa318ec057d18b69ceb46e4c41cc8e6","observation_id":"0829596a-866c-46c4-8bff-9b530d799ed4","resolution":{"observed_at":"2026-08-07T04:21:46.519851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:21:46.506364Z","title":null,"venue":null,"work_id":"ab4d3119-a24c-4981-8e58-85231b4948e9","year":2009},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.549255Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:7c70c2420e5034ef2cd6d469b0d2c76614777d634d936f34415470b218763898","observation_id":"81e01652-ca04-45d7-b726-6d3d7e9494e7","resolution":{"observed_at":"2026-08-07T04:21:46.509617Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:44.635054Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.635054Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:25b0a07a9a70c3a846320776d08a9e27562447d08e7ffac0faa2156fb0748b73","observation_id":"3bae4c1a-5d5b-4efd-8b91-c14c49ad761e","resolution":{"observed_at":"2026-08-07T04:21:44.635054Z","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":"2026-08-07T04:21:44.742106Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.742106Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:165163985562b10053695cd06712406088b318af889845ec8aaabbd2ffa01d60","observation_id":"22e51ad2-a299-49d0-bec1-b606c298eb2c","resolution":{"observed_at":"2026-08-07T04:21:44.742106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09984","last_updated":"2025-04-14T08:51:35Z","snapshot_observed_at":"2026-08-11T18:16:53.610977Z","submitted_at":"2025-04-14T08:51:35Z","title":"On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures","version":1},"cited_work":{"arxiv_id":"2504.09984","doi":"10.48550/arxiv.2504.09984","metadata_source":"pith","pith_arxiv_id":"2504.09984","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures","venue":"cs.IR","work_id":"9344016d-f082-4d66-8fda-dbf3f59976ea","year":2025},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.868735Z"},"links":{"cited_paper":"/paper/2504.09984","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:3a9f06a30d858a704e4cefe0b90eeb1e209c9023238da5b769027e992f48e0f5","observation_id":"c4059106-b075-49aa-937b-55eee46e8c20","resolution":{"observed_at":"2026-08-07T04:21:45.405002Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:44.932025Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:44.932025Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9491798d99c09f8437751040d54e4de2e10f4d01e5a02b203e679d7c5638102f","observation_id":"8af42170-0a70-43b3-8a84-eef634127de3","resolution":{"observed_at":"2026-08-07T04:21:44.932025Z","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":"2026-08-07T04:21:45.029893Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.029893Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:81529469db6d90f20f0a765b40dfa811e04ae3ac5ebf00134cc89b3ea5d73c70","observation_id":"df45d648-003e-4d64-82e9-97c8ff224d5c","resolution":{"observed_at":"2026-08-07T04:21:45.029893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.09320","last_updated":"2018-08-14T19:29:07Z","snapshot_observed_at":"2026-07-06T04:51:12.932821Z","submitted_at":"2016-03-30T19:29:44Z","title":"Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.09320","snapshot_observed_at":"2026-08-07T04:21:45.084005Z","title":"Malkov and Dmitry A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.084005Z"},"links":{"cited_paper":"/paper/1603.09320","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:650421b87ca09d676e8747211ec338b596b99734583c9d7041f7d010259eceb5","observation_id":"f178c5f2-64fa-46c3-a295-0c8a0ff00a04","resolution":{"observed_at":"2026-08-07T04:21:45.084005Z","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":"2026-08-07T04:21:45.177912Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.177912Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9ea8cb2b31b3934074a2f621dcd57ba3b24ae5116719a3894c6838103bc86922","observation_id":"3448a549-fef1-404c-88a8-cf64f9c608ac","resolution":{"observed_at":"2026-08-07T04:21:45.177912Z","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":"2026-08-07T04:21:45.250809Z","title":"Mackenzie, and Torsten Suel","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.250809Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:cce42001289ce0e5f2a3eb604ba59c607dccdaae7f3beaa9f6e2a7884b87133a","observation_id":"8ba32a18-d990-4072-b6e7-4a74162f352f","resolution":{"observed_at":"2026-08-07T04:21:45.250809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.05667","last_updated":"2021-01-14T15:29:54Z","snapshot_observed_at":"2026-08-11T22:17:52.249685Z","submitted_at":"2021-01-14T15:29:54Z","title":"The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.05667","snapshot_observed_at":"2026-08-07T04:21:45.253957Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.253957Z"},"links":{"cited_paper":"/paper/2101.05667","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:36d00fb62f862f038197a7c35ed0b6830836c401c7376605e6be7dd0fe228567","observation_id":"38163a9b-6717-4f7e-b003-32f16a12ee3f","resolution":{"observed_at":"2026-08-07T04:21:45.253957Z","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":"2026-08-07T04:21:45.257057Z","title":"Smith, and Mike Lewis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.257057Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:e605c7e5ca10335055e004f37020d4493a49a998547f24eef15ecbbe6b733732","observation_id":"e3073061-5a60-4b98-96db-d15dbd4bb6f2","resolution":{"observed_at":"2026-08-07T04:21:45.257057Z","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":"2026-08-07T04:21:46.484928Z","title":null,"venue":null,"work_id":"23ce0cb6-8430-4d87-beae-e1f85085d32a","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.259823Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:2a0fc3161e6dc82da6acbe715732f6dafe31594d29892d6e94d220ad3f6a8afc","observation_id":"f130ab63-de69-4f2c-a86d-f4e265fdd177","resolution":{"observed_at":"2026-08-07T04:21:46.488317Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"hash/2724558","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:21:45.719385Z","title":null,"venue":null,"work_id":"d59130a7-69da-4ae1-a3fa-63a893004114","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.262602Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:f8562ec0309856591734ddcc356e74fa66e357a72f65ea313f6ac050ed91507a","observation_id":"c5c30dcc-fa69-46c8-aca5-e4c2ef12a13c","resolution":{"observed_at":"2026-08-07T04:21:45.725698Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:45.265337Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.265337Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:143da18869edcce76487c405c05f3359714b83116cec624b55f89d8f45cd3668","observation_id":"cfa4f759-d213-439a-982a-f17dbb5a24f0","resolution":{"observed_at":"2026-08-07T04:21:45.265337Z","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":"2026-08-07T04:21:45.268036Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.268036Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:8e4018a3141c8a69023382ada211f263fcdb8d967b4aa19ba9b1b5920bb2ede1","observation_id":"83f5e3ea-9990-4437-a436-312353af9cc8","resolution":{"observed_at":"2026-08-07T04:21:45.268036Z","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":"2026-08-07T04:21:45.271429Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.271429Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:0ebe8d175e0dbf69d7a55f5b26ebde184550066357ebdf3847aa08e56f2164f9","observation_id":"2d90dcce-2efe-4336-a187-c31bd6d23072","resolution":{"observed_at":"2026-08-07T04:21:45.271429Z","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":"2026-08-07T04:21:45.277721Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.277721Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:7ceebec375ce257ad8478ba1d64b0bbf6ee0a9c01228ea99edf0189e67158c46","observation_id":"df18e661-fdf8-4fc2-8601-3e0afc3abe8a","resolution":{"observed_at":"2026-08-07T04:21:45.277721Z","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":"2026-08-07T04:21:45.286776Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.286776Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9aaefa4b7f38a3772792aac1c987999576b6f8f14c62f3da824de5ab19372718","observation_id":"20d0c629-f347-485f-80f9-2258b4d7aa77","resolution":{"observed_at":"2026-08-07T04:21:45.286776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13256","last_updated":"2024-11-26T12:37:39Z","snapshot_observed_at":"2026-08-13T04:35:47.236539Z","submitted_at":"2024-01-24T06:50:20Z","title":"UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13256","snapshot_observed_at":"2026-08-07T04:21:45.292451Z","title":"Pan, and Kam-Fai Wong","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.292451Z"},"links":{"cited_paper":"/paper/2401.13256","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:3208297b795ec182b6b18c6079f7a62cd60a42a416fa19628ec3c8ba5d118d1d","observation_id":"fb22c0e4-2234-4575-b7df-da71ed8830bc","resolution":{"observed_at":"2026-08-07T04:21:45.292451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03533","last_updated":"2024-02-22T06:21:51Z","snapshot_observed_at":"2026-07-06T14:27:46.217000Z","submitted_at":"2022-12-07T09:25:54Z","title":"Text Embeddings by Weakly-Supervised Contrastive Pre-training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03533","snapshot_observed_at":"2026-08-07T04:21:45.295746Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.295746Z"},"links":{"cited_paper":"/paper/2212.03533","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:82a37b5e231a10c73b2b925265b35a5ebeab9f30ba7736a90cf91b348389f29a","observation_id":"176aef83-c4e5-4b83-9412-81bfd2ebbc11","resolution":{"observed_at":"2026-08-07T04:21:45.295746Z","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":"2026-08-07T04:21:45.299178Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.299178Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:8452d2b8be1982e4ed2e6ae23102bdf153e3ff0f2ab05a0aa86a1b24022a9326","observation_id":"1fcbb33f-c4e1-49d1-971b-0875e046b21a","resolution":{"observed_at":"2026-08-07T04:21:45.299178Z","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":"2026-08-07T04:21:45.301827Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.301827Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:5a672ab02931f780738d152941e5568a6e7019ffb60a52eb52458f5ec328555c","observation_id":"468f8065-ba21-461e-a2d0-a43e1af36dce","resolution":{"observed_at":"2026-08-07T04:21:45.301827Z","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":"2026-08-07T04:21:45.289758Z","title":"InProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, Anna Rogers, Jordan L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.289758Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:40d40af36355759ec2aed1c399c25e5d4fb7cdc34248a61053be3765b0cb46af","observation_id":"be136425-0590-4597-94b1-0036eaa6c4bd","resolution":{"observed_at":"2026-08-07T04:21:45.289758Z","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":"2026-08-07T04:21:46.450652Z","title":"Narasimhan, and Yuan Cao","venue":null,"work_id":"2676f3d3-87d6-45c0-89c0-e3d56aeee1ff","year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.307425Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:a079a37f50cf762eb974401cecd7741be31987ad7a38fdb23cd8e10ddefc9bec","observation_id":"d3a10b23-53de-4d77-8ffb-4d4f1fbe07b6","resolution":{"observed_at":"2026-08-07T04:21:46.453937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T04:21:45.310097Z","title":"Weinberger, and Yoav Artzi","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.310097Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9a940cb238b57c173891a273d01293113c31961ab923b282c250434b3c74dcd7","observation_id":"80a0e4ba-5d03-4efd-8529-a377678a9d42","resolution":{"observed_at":"2026-08-07T04:21:45.310097Z","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":"2026-08-07T04:21:45.316442Z","title":"Xing, Hao Zhang, Joseph E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.316442Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:9071caeb7fdd8ba6d056eab06a090bd71e5712fa84f72ccf3d6d42de0a24cf25","observation_id":"e4db13ea-23a9-40b7-90bc-8fe742e358fb","resolution":{"observed_at":"2026-08-07T04:21:45.316442Z","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":"2026-08-07T04:21:45.304590Z","title":"Cohen, Rus- lan Salakhutdinov, and Christopher D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.304590Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:3137edc083197c95a0e631a776af2ab9b8c7dadab7c27f71aae9a37aa894655f","observation_id":"c2389937-a4b0-4bac-833f-4bc1c8f704fa","resolution":{"observed_at":"2026-08-07T04:21:45.304590Z","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":"2026-08-07T04:21:45.274719Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.274719Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:0d4153365cb3c1ac9fb4d027710b3553ca70a0116691e5a26ad1788f4fcaf1b5","observation_id":"e04559b4-cff4-4cc4-9b95-f0c51616b096","resolution":{"observed_at":"2026-08-07T04:21:45.274719Z","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":"2026-08-07T04:21:45.313617Z","title":"In8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.313617Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:03f9189c64290a6e01ad95c7581e4d9bf029233bfdc11cbbb3f0bd7dd6832321","observation_id":"b5ef83d0-65fe-4ed2-ac93-db7767335a1d","resolution":{"observed_at":"2026-08-07T04:21:45.313617Z","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":"2026-08-07T04:21:45.283777Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:45.283777Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:d70caedad59108e9ce1344f7248a6f895d05f0609e09a556bb90769fc57b141f","observation_id":"512da90c-fd6d-4e3f-b26e-af280e19a59a","resolution":{"observed_at":"2026-08-07T04:21:45.283777Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03714","last_updated":"2023-10-05T17:37:25Z","snapshot_observed_at":"2026-08-04T05:21:05.846165Z","submitted_at":"2023-10-05T17:37:25Z","title":"DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03714","snapshot_observed_at":"2026-08-07T04:21:43.682687Z","title":"https://doi.org/10.48550/ARXIV.2310","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:43.682687Z"},"links":{"cited_paper":"/paper/2310.03714","citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:a810c507153e4133d8122ff64970ebab8bb787e9e1a78f28ae3bcfce59d003db","observation_id":"99ddff6d-8802-40a5-b6fd-2b9086882f9a","resolution":{"observed_at":"2026-08-07T04:21:43.682687Z","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":"2026-08-07T04:21:46.575947Z","title":"InThe Twelfth International Conference on Learning Representa- tions, ICLR 2024, Vienna, Austria, May 7-11, 2024","venue":null,"work_id":"1fa5a73d-a9f2-43a4-ad05-5ed1866f4612","year":2024},"citing_paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T04:21:41.669636Z"},"links":{"citing_paper":"/paper/2506.10802"},"observation_digest":"sha256:667ac659fc92830d03d50758546041d29eb2adab9639f46b1cbf6f77e6161691","observation_id":"55dbc3da-86dd-401d-a9c9-196cfdec014f","resolution":{"observed_at":"2026-08-07T04:21:46.580202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.10802","last_updated":"2025-06-12T15:16:34Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-11T22:18:09.733814Z","submitted_at":"2025-06-12T15:16:34Z","title":"Constructing and Evaluating Declarative RAG Pipelines in PyTerrier"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":6,"verified_fuzzy":3},"total_outbound_references":56},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.10802."}