{"as_of":"2026-08-04T17:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59ab0b08d9f156de57d5fb92e2479c70ea0f7ba0adf1848b9031db6ef77eb176","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T13:49:52.461419Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T05:29:08.391011Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-01T10:25:42.197480Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"cited_work":{"arxiv_id":"2604.02444","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.02444","snapshot_observed_at":"2026-07-01T10:25:42.197480Z","title":"OmniTQA: A Cost-Aware System for Hybrid Query Processing over Semi-Structured Data","venue":"cs.DB","work_id":"fa9ce84f-e55a-4216-8db4-e2d1573cd448","year":2026},"citing_paper":{"arxiv_id":"2606.31808","last_updated":"2026-06-30T15:25:10Z","snapshot_observed_at":"2026-07-07T00:05:27.130060Z","submitted_at":"2026-06-30T15:25:10Z","title":"Large Databases Need Small, Open-Weight Language Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-01T05:29:08.391011Z"},"links":{"cited_paper":"/paper/2604.02444","citing_paper":"/paper/2606.31808"},"observation_digest":"sha256:dfb26544cf553c49fb5f9c3daf746f6e65411edda03db4151fbf6bfb56c0f8d7","observation_id":"3c008e8f-10a5-42c8-bbc7-22486c51f2e2","resolution":{"observed_at":"2026-07-01T10:25:42.198759Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2604.02444/citation-record","integrity":"/paper/2604.02444/integrity","json":"/paper/2604.02444/citation-record.json","paper":"/paper/2604.02444"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T13:49:52.461419Z","title":"In 2021 IEEE 37th International Conference on Data Engineering (ICDE), pages 984–995","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:fd2c9cbb529fa9cb3a7931d05d15f089082c2fd9da36df60cef14d5401990385","observation_id":"fa12a535-57ff-4746-a51a-dea77e739981","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"P Griffiths Selinger, Morton M Astrahan, Donald D Chamberlin, Raymond A Lorie, and Thomas G Price","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:7ab3f9a1f756d13fa3eaa25c9dcacfbdcd6abbf67208a07aa1b3f0ad414ed680","observation_id":"f88a7fa9-411e-42c0-9617-1de0f14e7560","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.02537","last_updated":"2026-04-28T06:58:21Z","snapshot_observed_at":"2026-07-06T22:47:37.679205Z","submitted_at":"2026-03-03T02:51:26Z","title":"Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.02537","snapshot_observed_at":"2026-07-13T13:49:52.461419Z","title":"InProceedings of the 1979 ACM SIGMOD international conference on Manage- ment of data, pages 23–34","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"cited_paper":"/paper/2603.02537","citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:a53281d71db68511be5502c4a0d58e9b5d0f60fafe5245cb8c19497b51cd4c3a","observation_id":"094e8f48-1385-4353-b051-457730bf5601","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-13T13:49:52.461419Z","title":"Peiying Yu, Guoxin Chen, and Jingjing Wang","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:2df74a250289f36603d1cbb8e5ec288154044efde186ffe5c6b70fe120bf5577","observation_id":"41deebc0-1fd9-4bbd-8488-3a48d0998c76","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.00103","last_updated":"2017-11-09T23:06:14Z","snapshot_observed_at":"2026-08-03T05:45:09.122112Z","submitted_at":"2017-08-31T23:12:15Z","title":"Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.00103","snapshot_observed_at":"2026-07-13T13:49:52.461419Z","title":"CoRR, abs/1709.00103","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"cited_paper":"/paper/1709.00103","citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:bc026fca38815cfbc4c241f7992486f49c53d575ba26e7e3afa9b8c9c812d67a","observation_id":"93b7179b-7531-4501-a940-21e3cbf5e9d1","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return rows from�","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:daa353d394e4b50fc0f5aa28024cdb14c3e70900da0637fe9629e7fc46475f08","observation_id":"f0ed6906-9adf-4969-abe1-4a05935f46e4","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:7ef2d79b4b47717e9917531a729124ec3b7ec277d1d03517d5464fbfb5d8a31e","observation_id":"10e45105-7636-48a2-9510-200d254312d8","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:09b25c6569476355398f26e004f720b4699c45203e1e780fdd7ecf0a4afcafbf","observation_id":"ff53358c-9eff-42b3-967e-e6813d3d1169","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"recent\",","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:84b42be244a9eaa2a430e7912f290b8469c396ddc153aff1a597f4653884ce4b","observation_id":"6fba193a-eac5-4dd2-b260-9b7a4c70115d","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:55fc506cd3da87a83aebc57a75062070423d7f306d29b134ac3ec809a08c60bd","observation_id":"6ee922d8-a9ce-4f03-90e0-7f1459459a95","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:c0675141bcede315b4ae3f596abca255c3748fe34038d6bd55c18994b4fbc6cd","observation_id":"c4fbe76d-f633-4209-a052-aff2c993e527","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return rows from [Table_Name]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:2f3b36e4e5883e7b72b694e30c6884c6cfe72f0ed55c0f5fc9c5cf37a64dbb94","observation_id":"720e546f-6362-4e3f-b939-9cc45517a0a7","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return rows from [Previous_Step_ID] where [Column_Name_1] [Operator] [Value/Column_Name_2]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:25c500662330340a809657e1f482163b148096d1a38ca488a486c46b9453ea49","observation_id":"4a19013e-0112-456c-a702-5490df3d066e","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return [Column_Names] of [Previous_Step_ID], calculating [Expression] if needed","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:d9cbe68fb710b9a91f445fbb120d5dd242ddd0a502871b94da5729a805ee7c3f","observation_id":"d3c5f3d9-121f-4bd6-a0bc-399bfb18c84b","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return [Agg_Func] of [Target_Column] grouped by [Grouping_Column] from [Previous_Step_ID]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:91aea8902c824dcb432979191fbb893e1f85d1c92c4d2e1e58992f0da05b15c9","observation_id":"b2e92964-2607-4317-b301-4ea1dee669f6","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return [Previous_Step_ID] sorted by [Column_Name] [ASC/DESC]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:fb11e44b2a05779d3976b9d10f9c69e19b958161119e0a35c6232c4d8a782764","observation_id":"c015775e-be0f-47a5-a5a2-bdbf1110ac82","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return the top [N] rows from [Previous_Step_ID]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:ad25fde7f103c62be76c38dfc80c44bf0725be2974dd6e1cd5a6e5bcdfc035ef","observation_id":"67e616cc-0494-41ba-a72d-b02476258209","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return combined rows from [Previous_Step_ID_1] and [ Previous_Step_ID_2] where [Join_Condition] matches","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:f81c06a6785568ea05cfdc110d109259e666195b6033e26317bc9860c5c77f70","observation_id":"a96ad0e6-0575-4aef-8543-e37152e788b4","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return the [Union/Intersection/Difference] of [Previous_Step_ID_1] and [Previous_Step_ID_2]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:f2aa7f777e0473d0f18a3057af0854719b14aff9a98880bbac47688983cb4899","observation_id":"ac6065a6-48fc-4291-b5d9-348002dc6809","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return unique rows from [Previous_Step_ID] based on [Column_Names]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:bc2f9786e5299ef31f25efb7e9b441f2a0aea78be8242f480de319a11d173674","observation_id":"bf0e0683-8766-44bb-a40a-3f2d964817d3","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return [Previous_Step_ID] with new column [New_Column_Name] derived from [Input_Columns] by [Instruction]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:f95f1c59cbe08e8926bfc02f93c04b1a57f4579d6ad3cb33625d9ae5330001be","observation_id":"e4307146-06b8-475f-9d81-ba7abf3537ba","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return rows from [Previous_Step_ID] satisfying the semantic condition : [Instruction]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:492efa384f3fa5898b11de16b1b9f675bcd123fdba6e68b412cf38a399120ec1","observation_id":"07f60fcf-ddd4-4fc2-b397-faff857e7629","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return combined rows from [Previous_Step_ID_1] and [ Previous_Step_ID_2] using semantic matching logic: [Instruction]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:9b2c87da988eea78cc7c61c4f1eabdfecb432847a2b1ed7cc50613b5ab9ade44","observation_id":"1f8e05bd-0433-41d8-aed8-629f8402069f","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Return a summary of [Target_Column] grouped by [Grouping_Column] from [Previous_Step_ID] using instruction: [Instruction]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:af90f03d07ee47dbdabfcd040f9af4742b05cb9cada4eb0042ca2f76532d65a6","observation_id":"a6bde210-7ccc-4244-9bcc-00eda2f9d8c6","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:b35c2977cd22b095918da3f471040b0c2d86c10128af53d2d17ca2cf4d37b860","observation_id":"35d030cc-9590-4852-a944-3369fbb1e577","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:981be512bfd7dafcdb37237087f3f49164375671fc0e52013bec7de4bb03ff7b","observation_id":"45c89062-2893-4e84-948c-5aab1ba3cf3f","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Semantically cross-reference user terms with values in <data_preview>","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:dbaba3857a8b9165ad14cfbf05d0c4df0f95564814ab37bbb8907c27f212798f","observation_id":"a2dc77bc-e882-468e-a6fb-f96a1adc4adf","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:8714da8c4fb464cd221f1ad5c50077bfdee5c9d5eebaa133e602c8a2f8c85706","observation_id":"efbcc1b8-50c5-47d0-acfa-23658681ebcd","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"plans\": [ {{","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:313c8f24bdcf642e7d80ca11e6e85d974f9e207b701fa26e608197a69c3b1b1d","observation_id":"fc43dba4-9a5d-4d93-8d5c-ce9c14a1187b","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:f40cd0a2ea8bfe00cd05af62d10565433ec261ec3b15715dea40110df897fa32","observation_id":"6350bb5f-2568-4948-896d-028bf6fdbccd","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:7f10bb4e18dd3f2e1d7e6e595d2f64f72464c7b960be27270eb01fe88166da68","observation_id":"9ac1b21e-8512-4513-8a43-97d3be4d0484","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-07-13T13:49:52.461419Z","title":"so it forms a result table","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:245afb6908210cdd32be44e9b217a1dcd10f35ecd14bab15b0f1bc6a58676d6d","observation_id":"7ca0115e-e95f-497c-b613-993c93dde2c6","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:c926a42719dd94e1ae3caa3d48aa5bf1f850cb962f4440def9db2ff86809cf72","observation_id":"a3d5e015-cdac-4309-8468-33b973cf76a1","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:47f312d1da20b7f0c6e119023c216e6ff00c92be627662715983df8efbf75b47","observation_id":"fb47cb08-8638-42e7-bbe5-d2fda170c017","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:08915dcdb40c29e006af6175a40b62b58d62757b947bd2de21cdc88f9b57171a","observation_id":"b91f8ff1-1e5c-47c3-80ee-5e01ebae0221","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"rows\": [ {","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:8bf62c77aab369b8f6cfa5846272ae7d793ec78c7574c1bb5594822a6223a906","observation_id":"828317f9-76e6-4700-a7ff-62913b5e6328","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"Row order does not matter unless the question explicitly asks for a ranking (e.g., \"top 10\")","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:de714a60e6f19bae3e9527cb32f264918d18a045053c309e669d906d15fff641","observation_id":"5531ca57-1c90-400a-a97d-35ba4c26c893","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"1,000\" vs","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:ea68c938dea9597ead963a4c3fa9221059c551d16d74112bb713a07c9830c068","observation_id":"4ff808fa-df02-4757-93e4-76eaf6139611","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:c5a0fc61e9a2f9164b40db46d4ee49458fdd32f5322f304e628ac0983d9e0ba2","observation_id":"fff04626-3434-4e19-a531-c86f4c1960d4","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"The answer is 50","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:3c0927092d5cdcd14cc09611254c6e8f84be6869a998dc68ba946dc46ed9c5ce","observation_id":"21cd302b-9df5-4393-8885-e14e8ce849b6","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"### GROUND-TRUTH ### {ground_truth} ### PREDICTION ### {prediction} ### GUIDELINES ### Think step-by-step:","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:0524cebbe7641b628481e61538473eded2cb0472f0ce87d6768e805caa19b0c6","observation_id":"6dea7ad6-38e9-470b-ba18-5b13a7fa7ce4","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:18d67a8919d30348e5063ed703d00b76428f8604c34359cbeb2044631eb0a415","observation_id":"1ba398b8-d781-4646-b01c-ff62384b0b30","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:b0fbb819afd63aa05ef2152c941221450d2bc1fc9bae668afe9cfeff97c2ff0e","observation_id":"f155d91f-cda7-4ea6-8d01-8b39f287f43b","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"reasoning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:735f55db8ceed563fdda17267cfa1a3d5aa12b54489cb048477e9d8b4efa156a","observation_id":"65f46a03-d05f-475a-ab7e-b0a7b54d47d4","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:65fdd4f893bad7434773f0d65979f6035afd38707aba008f0d7ae698aada3ac8","observation_id":"d2ba6b77-df53-49b5-bc97-bc8d611fca7c","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:23871f86dc3a84eb06476c9a78ee98ee63e9b84ead96ddcbca945cdf3dcdf772","observation_id":"40624b72-071f-417f-9d93-4f1fe35b8eed","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:5e8871cbf8deca55da4edc1366f787f81014560b189e54dc692ce89a5b566ae1","observation_id":"7cf3c8c3-fac3-475c-a194-f7ffb8ff5a67","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:79aa3f6e4d3d1446ed6787d6a85e29cf2785b3ac4c4116c126a55e858144433c","observation_id":"007ebd70-1e79-49fc-a43f-6400ad6f37e0","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","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":"2026-07-13T13:49:52.461419Z","title":"No explanation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-13T13:49:52.461419Z"},"links":{"citing_paper":"/paper/2604.02444"},"observation_digest":"sha256:c1af462d1eec54f5a3ceff63c4bd42a399a30747a61de8a792b67427134b96e3","observation_id":"cdc56561-47e5-49b7-a528-a0a58a23f552","resolution":{"observed_at":"2026-07-13T13:49:52.461419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2604.02444","last_updated":"2026-07-01T22:18:37Z","latest_version":2,"primary_category":"cs.DB","snapshot_observed_at":"2026-07-13T13:49:46.927145Z","submitted_at":"2026-04-02T18:16:11Z","title":"From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":48,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":49},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2604.02444."}