{"as_of":"2026-08-06T15:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14e0bbdc57237a4e2d940d93a1fdb11d8c7e37f5e31e27ab83991c574fe96145","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T18:23:13.246746Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2607.28082/citation-record","integrity":"/paper/2607.28082/integrity","json":"/paper/2607.28082/citation-record.json","paper":"/paper/2607.28082"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T18:23:13.166363Z","title":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.166363Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:261e1488efef8495127be803586c5a150122412ffed6c36330fd6497e52e358d","observation_id":"5b40fa48-c372-43f9-83e8-e08ec1da8479","resolution":{"observed_at":"2026-07-31T18:23:13.166363Z","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":"2026-07-31T18:23:13.169833Z","title":"Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.169833Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:553b07a382aa03caa01a13450c80c92c63c5aef017af0db29040f661543fc933","observation_id":"b36bdc23-f890-4648-9f2d-c6435821c7b6","resolution":{"observed_at":"2026-07-31T18:23:13.169833Z","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":"2026-07-31T18:23:13.174533Z","title":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining , pages =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.174533Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:e8bf96863d281e9d98dc50d0ae9960ad9d1b37ba4ddc5de92b21a450c8fa80f3","observation_id":"c355b7fb-2dbc-4aa8-bb46-ad30a8e9adc1","resolution":{"observed_at":"2026-07-31T18:23:13.174533Z","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":"2026-07-31T18:23:13.177932Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.177932Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:893784e6f25e549f8d2863dafb6e93fbede06f2096c5d6a5b84cbb6f1e5db85a","observation_id":"2fb0b146-9b3d-49cb-b45b-5665264b22e5","resolution":{"observed_at":"2026-07-31T18:23:13.177932Z","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":"2026-07-31T18:23:13.181178Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.181178Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:6d1e3dd391fee763e00c1c7693e59f5f11b0843c17d8d43ec6a956acf43183d1","observation_id":"d1b4c685-a6e3-430d-a3a3-0fce1a7d5367","resolution":{"observed_at":"2026-07-31T18:23:13.181178Z","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":"2026-07-31T18:23:13.184555Z","title":"Complex Knowledge Base Question Answering: A Survey , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.184555Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:5ea5bb87383d0458dfa5b8b3ec6d6ed2fb2bec7330ae63b4622241a4a4debc97","observation_id":"7dacf770-2dfb-4c46-9c63-a043acc00bc5","resolution":{"observed_at":"2026-07-31T18:23:13.184555Z","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":"2026-07-31T18:23:13.187696Z","title":"Fine-tuned LLM s Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over W ikidata","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.187696Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:880f3f5ec05f4c0bea8500096d0d4abc5f13480d7ab02814a8a9c025ecba76d1","observation_id":"707959f7-48e4-46b0-9315-14ddd7a45868","resolution":{"observed_at":"2026-07-31T18:23:13.187696Z","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":"2026-07-31T18:23:13.191037Z","title":"PICARD : Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.191037Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:25b8b949c0f1f1d4b3380793406d6d8f3017ca696aa4e427bda0e2014cf1c594","observation_id":"220347d7-5882-4d8c-8a60-0f618a5cc60c","resolution":{"observed_at":"2026-07-31T18:23:13.191037Z","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":"2026-07-31T18:23:13.194273Z","title":"Text-to- SQL Error Correction with Language Models of Code","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.194273Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:bac5a4e9236a8d9cb2922d3ca92249fac920fb235e32967aa90b526cf95cde73","observation_id":"cf38f7f7-85da-4256-8712-2c0509dc5f5c","resolution":{"observed_at":"2026-07-31T18:23:13.194273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-07-31T18:23:13.197294Z","title":"arXiv preprint arXiv:1907.11692 , year=","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.197294Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:a1064476971f2336f6f4c13f72de0ad695c84e2e981b53ba940dafa1db85f653","observation_id":"7d6cebc1-3f85-45f2-b1fd-e6e2e984172a","resolution":{"observed_at":"2026-07-31T18:23:13.197294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-07-31T18:23:13.200823Z","title":"arXiv preprint arXiv:2107.03374 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.200823Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:6a95f3fcaba44f59eb90f688bf635196be879a1df25afd8902b4b98fa146a03b","observation_id":"24f1cfe4-430d-4bac-9f81-f48baf2d521c","resolution":{"observed_at":"2026-07-31T18:23:13.200823Z","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":"2026-07-31T18:23:13.204119Z","title":"Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.204119Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:5531f5c150a290d5579f556b46af9918bcf7f10d7ef95b4dda832761806878a6","observation_id":"e4965ee5-78be-4c3f-a98f-26101e713a0d","resolution":{"observed_at":"2026-07-31T18:23:13.204119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-07-31T18:23:13.206926Z","title":"arXiv preprint arXiv:2407.21783 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.206926Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:9cfa26faa32e57ca72cc5d60c36a38e27f96a476a743c147f6f035dff54cd939","observation_id":"f00f313f-5d63-444e-b9b4-6c4e312bfd89","resolution":{"observed_at":"2026-07-31T18:23:13.206926Z","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":"2026-07-31T18:23:13.210465Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.210465Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:eb824257e3c969582a5b687cbafd0822dccc36ca8cbf7caf842f43955921865c","observation_id":"b78b0cf3-93d6-4679-bcfc-2382eb2a7776","resolution":{"observed_at":"2026-07-31T18:23:13.210465Z","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":"2026-07-31T18:23:13.213135Z","title":"Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.213135Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:6e0b96aa5f05ab34b8b8f6c1d374685c9d21498b678d76523f11675fa4414247","observation_id":"44f10b9e-8ce0-4a00-8c21-ac8d81e859b8","resolution":{"observed_at":"2026-07-31T18:23:13.213135Z","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":"2026-07-31T18:23:13.215889Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.215889Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:6a9d9222ef138f61787caa9dde1c61af0b503089e4a9dbcface2d35440955a7c","observation_id":"4e67dd53-bdca-4613-a0e4-60aa7e70324c","resolution":{"observed_at":"2026-07-31T18:23:13.215889Z","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":"2026-07-31T18:23:13.218766Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.218766Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:9d5c66b584b5eeaf599acd1ed712e7e160db03597153055773ab09f4888e8c64","observation_id":"8b68fae3-7968-4e26-89eb-a64c047a6f7f","resolution":{"observed_at":"2026-07-31T18:23:13.218766Z","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":"2026-07-31T18:23:13.221432Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.221432Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:4efe0d826a7bc8d17f988d758e96a104da178102eccab19c06b68bc5cc062962","observation_id":"9e185e16-c21b-4d7a-aa13-cf25bb99fc3a","resolution":{"observed_at":"2026-07-31T18:23:13.221432Z","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":"2026-07-31T18:23:13.224393Z","title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.224393Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:8b6f45b9d39a354fd5da78d3277dab45f68a08fb5801b95f5d81bc6aba8cdec8","observation_id":"805c1cc9-2146-4a4e-9529-d3a8d985dd15","resolution":{"observed_at":"2026-07-31T18:23:13.224393Z","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":"2026-07-31T18:23:13.227055Z","title":"IEEE Transactions on Knowledge and Data Engineering , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.227055Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:7ec226b7dc1280ef8e24212bfccbeb1af251b4de642b2e8e9f01c942b239940f","observation_id":"84fd75ef-8c18-420a-93f0-df81ee3e6cbb","resolution":{"observed_at":"2026-07-31T18:23:13.227055Z","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":"2026-07-31T18:23:13.229687Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.229687Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:267145864bc1dc31622947d06d6266e8982014293e498877bdddd4313b4e9634","observation_id":"56141085-79be-4cc2-b9d5-3d9e1b17d931","resolution":{"observed_at":"2026-07-31T18:23:13.229687Z","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":"2026-07-31T18:23:13.232638Z","title":"Proceedings of the 34th International Conference on Neural Information Processing Systems , articleno =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.232638Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:ec40451e8ac708ad191ee582442784c0d3405ec7875ccfd9e3fd7f14ae6e1352","observation_id":"c61e1d48-5d51-4d98-aa04-b078bf1808bd","resolution":{"observed_at":"2026-07-31T18:23:13.232638Z","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":"2026-07-31T18:23:13.235374Z","title":"Investigating Large Language Models for Text-to- SPARQL Generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.235374Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:2bee881e4e87ea4c99b01631db855cbcbab3634a91e360c5f4ed3e3403116b16","observation_id":"9d26ec85-fb70-4358-8ff2-a06c89014880","resolution":{"observed_at":"2026-07-31T18:23:13.235374Z","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":"2026-07-31T18:23:13.238490Z","title":"Wikidata: a free collaborative knowledgebase , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.238490Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:c7227afe6e551dcdd1b453d530c4d23afd76a868910189aae8731a156142ce4c","observation_id":"afb910e3-06f0-47c7-b12f-f653a7f1e9e2","resolution":{"observed_at":"2026-07-31T18:23:13.238490Z","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":"10.5220/0013774000004000","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FIRESPARQL: A LLM-Based Framework for SPARQL Query Generation over Scholarly Knowledge Graphs , booktitle=","venue":null,"work_id":"53ee811c-991d-42c1-bd05-f12b48af703f","year":2025},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.241322Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:a9845b2885bc2f4f8bcc27f5e41abfc8b9c03702dfdf153fc7cfb25dd627f08c","observation_id":"b865355e-cd0c-4dd8-ac50-0d91b7e92135","resolution":{"observed_at":"2026-07-31T18:26:22.569565Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-31T18:23:13.243994Z","title":"Scientific Reports , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.243994Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:86f1acdd10bc25111a33858969836b7b3469cf12adb635b8c46e336891492b2c","observation_id":"bd1fafd1-f95a-4066-ba2a-a8ce321322dd","resolution":{"observed_at":"2026-07-31T18:23:13.243994Z","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":"2026-07-31T18:23:13.246746Z","title":"ACM Comput","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-31T18:23:13.246746Z"},"links":{"citing_paper":"/paper/2607.28082"},"observation_digest":"sha256:e3a1fb7a6b43948113263bc99a5e167283d2d3476bbcc0ffa3af626e7aa1d75f","observation_id":"1813024c-c6bc-4a2c-9232-4042f3eae5ea","resolution":{"observed_at":"2026-07-31T18:23:13.246746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.28082","last_updated":"2026-07-30T11:52:09Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T10:08:23.894750Z","submitted_at":"2026-07-30T11:52:09Z","title":"GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":2,"unresolved":24,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":27},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.28082."}