{"as_of":"2026-08-12T17:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c7dbb1a217cd2321520e81efea53656ae5cd50e46066a2f49332f9024a775b7","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:28:18.452019Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T04:46:56.654470Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T07:36:45.328457Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"cited_work":{"arxiv_id":"2506.21445","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.21445","snapshot_observed_at":"2026-07-02T07:36:45.328457Z","title":"Text2Cypher across languages: Evaluating and finetuning LLMs","venue":null,"work_id":"53fa33ff-c3e0-4bba-8c27-21d406620afe","year":2025},"citing_paper":{"arxiv_id":"2606.04645","last_updated":"2026-06-03T09:13:05Z","snapshot_observed_at":"2026-08-02T18:03:10.658966Z","submitted_at":"2026-06-03T09:13:05Z","title":"CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T06:49:23.432383Z"},"links":{"cited_paper":"/paper/2506.21445","citing_paper":"/paper/2606.04645"},"observation_digest":"sha256:7e4fc323f3c4096d6ff190249679bb377f091c2b17717a82eacd2a91eb561083","observation_id":"4ef2a70b-3d57-4d0f-bd32-6ec0cc99012b","resolution":{"observed_at":"2026-07-02T07:36:45.329915Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"cited_work":{"arxiv_id":"2506.21445","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.21445","snapshot_observed_at":"2026-07-02T07:36:45.328457Z","title":"Text2Cypher across languages: Evaluating and finetuning LLMs","venue":null,"work_id":"53fa33ff-c3e0-4bba-8c27-21d406620afe","year":2025},"citing_paper":{"arxiv_id":"2606.27742","last_updated":"2026-06-26T05:41:33Z","snapshot_observed_at":"2026-08-09T20:33:14.540724Z","submitted_at":"2026-06-26T05:41:33Z","title":"KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T04:46:56.654470Z"},"links":{"cited_paper":"/paper/2506.21445","citing_paper":"/paper/2606.27742"},"observation_digest":"sha256:0784538f595a6be11fdf5256fcaef24e902a4cee64d871ac22e73eef47af48e0","observation_id":"f67ebbcf-5d62-4259-b534-8c958f5c0179","resolution":{"observed_at":"2026-06-29T19:13:53.466852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.21445/citation-record","integrity":"/paper/2506.21445/integrity","json":"/paper/2506.21445/citation-record.json","paper":"/paper/2506.21445"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:28:24.424211Z","title":"ACM Computing Surveys (Csur) 54(4), 1–37 (2021)","venue":null,"work_id":"4b63b939-33c2-48e2-9fd9-ddb6e2c0afa3","year":2021},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.147165Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:fd38f4f6faf2c4e0703a5d2692af6e7a72fcae310a46de03fd8aa9be81ef25ae","observation_id":"60967c70-32f4-4f16-9174-a74246bb6409","resolution":{"observed_at":"2026-08-06T22:28:24.583183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:24.216627Z","title":"Emerging Science Journal 8(5), 2003–2022 (2024)","venue":null,"work_id":"9d958961-c0ff-4b8b-abc5-eb4db6483063","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.194150Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:294f1314e6985b86626c446a4f2421675af8d4fd1ce25c71f1e0bbd3395063c5","observation_id":"c23f6a65-66e6-4bf3-8b91-ec5f54d0373a","resolution":{"observed_at":"2026-08-06T22:28:24.308333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13923","last_updated":"2025-09-02T08:50:10Z","snapshot_observed_at":"2026-08-07T08:44:01.154202Z","submitted_at":"2024-05-22T18:53:25Z","title":"Why Not Transform Chat Large Language Models to Non-English?","version":3},"cited_work":{"arxiv_id":"2405.13923","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.13923","snapshot_observed_at":"2026-08-06T22:28:20.380747Z","title":"Why Not Transform Chat Large Language Models to Non-English?","venue":"cs.CL","work_id":"d9592d86-c57e-498e-8a25-2e95638ed021","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.271889Z"},"links":{"cited_paper":"/paper/2405.13923","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:8b330979fe00b9b72f57ef7bfd9b8b96a8006151df2328c8d0893761d82550d6","observation_id":"2fea92f5-2004-448d-bd2a-85c3faba6d0a","resolution":{"observed_at":"2026-08-06T22:28:20.484994Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:24.030004Z","title":"In: Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK), pp","venue":null,"work_id":"19bcd13d-c528-4780-835a-5f756c89f2bc","year":2025},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.356347Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:b0a24272b8fc87be551b87e95b86d5a8bda6985bbb1caf49bdd9ba7aa277a155","observation_id":"d842614c-5c99-4730-bc1e-b5f1b5338dc5","resolution":{"observed_at":"2026-08-06T22:28:24.114743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07377","last_updated":"2023-06-12T19:10:47Z","snapshot_observed_at":"2026-08-11T16:23:30.930624Z","submitted_at":"2023-06-12T19:10:47Z","title":"Lost in Translation: Large Language Models in Non-English Content Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07377","snapshot_observed_at":"2026-08-06T22:28:15.425436Z","title":"arXiv preprint arXiv:2306.07377 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.425436Z"},"links":{"cited_paper":"/paper/2306.07377","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:2ff0abb2688c36a28b87b483f4c81a161cfa6577881ceb6e58da83cbfdd2d795","observation_id":"7f85be77-c6aa-4cff-86cc-55a4d1cd084f","resolution":{"observed_at":"2026-08-06T22:28:15.425436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01771","last_updated":"2024-06-03T20:25:12Z","snapshot_observed_at":"2026-08-10T01:38:21.893626Z","submitted_at":"2024-06-03T20:25:12Z","title":"LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01771","snapshot_observed_at":"2026-08-06T22:28:15.513831Z","title":"arXiv preprint arXiv:2406.01771 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.513831Z"},"links":{"cited_paper":"/paper/2406.01771","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:8157d58eb7788cedf3b52cf321b31052caa609db328694cec802024ea2963a03","observation_id":"f554f94f-e468-485c-8c9c-dbf5927c0a24","resolution":{"observed_at":"2026-08-06T22:28:15.513831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18098","last_updated":"2023-11-21T11:01:24Z","snapshot_observed_at":"2026-08-10T21:54:36.042693Z","submitted_at":"2023-05-29T14:07:52Z","title":"BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18098","snapshot_observed_at":"2026-08-06T22:28:15.584249Z","title":"arXiv preprint arXiv:2305.18098 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.584249Z"},"links":{"cited_paper":"/paper/2305.18098","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:30c6ca4fee418daa5d846f140721174c5614f75e404d56490b9126fa7867ad64","observation_id":"e8941401-e0ac-4857-ba94-cd6fa535f4fd","resolution":{"observed_at":"2026-08-06T22:28:15.584249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04948","last_updated":"2023-10-09T14:08:40Z","snapshot_observed_at":"2026-08-10T21:54:32.811036Z","submitted_at":"2023-08-09T13:32:06Z","title":"Extrapolating Large Language Models to Non-English by Aligning Languages","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04948","snapshot_observed_at":"2026-08-06T22:28:15.666333Z","title":"arXiv preprint arXiv:2308.04948 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.666333Z"},"links":{"cited_paper":"/paper/2308.04948","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:87e29af86a4c3d47959636bfe843b1982e8036f9bcbc118e156fbadf8a8380af","observation_id":"ff83a1c7-1e72-4647-b431-9ee89ffb44e5","resolution":{"observed_at":"2026-08-06T22:28:15.666333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07827","last_updated":"2024-02-12T17:34:13Z","snapshot_observed_at":"2026-08-11T04:21:55.698607Z","submitted_at":"2024-02-12T17:34:13Z","title":"Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07827","snapshot_observed_at":"2026-08-06T22:28:15.724242Z","title":"arXiv preprint arXiv:2402.07827 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.724242Z"},"links":{"cited_paper":"/paper/2402.07827","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:dde29cc9ae2cb2a277a852bbcb18319fa0613653e827338537a165ed38d343df","observation_id":"26f6f25a-db01-4f53-b440-b101fa5bfde2","resolution":{"observed_at":"2026-08-06T22:28:15.724242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14862","last_updated":"2023-12-22T17:34:47Z","snapshot_observed_at":"2026-08-10T14:23:24.999672Z","submitted_at":"2023-12-22T17:34:47Z","title":"YAYI 2: Multilingual Open-Source Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14862","snapshot_observed_at":"2026-08-06T22:28:15.803836Z","title":"arXiv preprint arXiv:2312.14862 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.803836Z"},"links":{"cited_paper":"/paper/2312.14862","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:43878a461b35918174cc721a659a3f5723185af3c9e20cee68bf4f760b8f4de5","observation_id":"0697d273-66f7-421d-995a-291b582db8e0","resolution":{"observed_at":"2026-08-06T22:28:15.803836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15011","last_updated":"2023-10-10T07:46:44Z","snapshot_observed_at":"2026-08-09T23:26:01.745416Z","submitted_at":"2023-05-24T10:50:31Z","title":"Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15011","snapshot_observed_at":"2026-08-06T22:28:15.901614Z","title":"arXiv preprint arXiv:2305.15011 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.901614Z"},"links":{"cited_paper":"/paper/2305.15011","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:7df779c3e80b31184b8aabb2ffda1f92de9b96db2fce2f118de8f30ae29a23eb","observation_id":"cf96891d-e445-465d-9e6c-c2a5e7f533bc","resolution":{"observed_at":"2026-08-06T22:28:15.901614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16039","last_updated":"2023-08-02T00:39:25Z","snapshot_observed_at":"2026-08-04T18:29:36.809656Z","submitted_at":"2023-07-29T18:01:46Z","title":"Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16039","snapshot_observed_at":"2026-08-06T22:28:15.984713Z","title":"arXiv preprint arXiv:2307.16039 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:15.984713Z"},"links":{"cited_paper":"/paper/2307.16039","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:4948bd8ae58e6f17eb4031d80271910e2f8d71eb68777740c175fa4dfeca04a9","observation_id":"044a60ca-8786-4521-92db-f6a9ac95860f","resolution":{"observed_at":"2026-08-06T22:28:15.984713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07004","last_updated":"2023-10-22T13:43:27Z","snapshot_observed_at":"2026-08-11T02:56:22.364568Z","submitted_at":"2023-05-11T17:44:17Z","title":"Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07004","snapshot_observed_at":"2026-08-06T22:28:16.032774Z","title":"arXiv preprint arXiv:2305.07004 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.032774Z"},"links":{"cited_paper":"/paper/2305.07004","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:b7ddbca9032668229a57803ccaf739987194defc75743f11bbd24ce133cab2f0","observation_id":"5e9c82dd-03c9-4479-8719-f8c6acd4d78f","resolution":{"observed_at":"2026-08-06T22:28:16.032774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.01223","last_updated":"2023-08-02T15:29:22Z","snapshot_observed_at":"2026-08-11T00:27:08.261837Z","submitted_at":"2023-08-02T15:29:22Z","title":"Do Multilingual Language Models Think Better in English?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.01223","snapshot_observed_at":"2026-08-06T22:28:16.114580Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.114580Z"},"links":{"cited_paper":"/paper/2308.01223","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:1577cef39b8a8d26c66bfe1d0f35969c2fe07aa0eda85e883e58970b864f29c4","observation_id":"e86816a5-b2c2-46f3-bb9c-388bc8bb332d","resolution":{"observed_at":"2026-08-06T22:28:16.114580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01055","last_updated":"2024-01-12T08:14:12Z","snapshot_observed_at":"2026-08-09T18:15:24.506370Z","submitted_at":"2024-01-02T06:29:02Z","title":"LLaMA Beyond English: An Empirical Study on Language Capability Transfer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01055","snapshot_observed_at":"2026-08-06T22:28:16.175717Z","title":"arXiv preprint arXiv:2401.01055 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.175717Z"},"links":{"cited_paper":"/paper/2401.01055","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:fdac337a8c45c936f79d72c709fb1f65a7cbb170a33ff873120530ae5c88455c","observation_id":"11812c6d-09ce-4299-a4e3-0141ef1d65af","resolution":{"observed_at":"2026-08-06T22:28:16.175717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05873","last_updated":"2025-06-01T19:44:36Z","snapshot_observed_at":"2026-07-06T19:29:36.787126Z","submitted_at":"2024-10-08T09:59:23Z","title":"MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05873","snapshot_observed_at":"2026-08-06T22:28:16.274718Z","title":"arXiv preprint arXiv:2410.05873 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.274718Z"},"links":{"cited_paper":"/paper/2410.05873","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:7017315e839cfb0f398c0fced83bdd532e7d6f74d8802f22b1e76f0797facd24","observation_id":"ed24bef1-c53d-4554-a908-d41c8ec133ec","resolution":{"observed_at":"2026-08-06T22:28:16.274718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10811","last_updated":"2024-08-20T13:05:41Z","snapshot_observed_at":"2026-08-11T20:04:59.680401Z","submitted_at":"2024-08-20T13:05:41Z","title":"Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10811","snapshot_observed_at":"2026-08-06T22:28:16.347805Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.347805Z"},"links":{"cited_paper":"/paper/2408.10811","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:a9b86c2c49fe70e2e5b48da029d246ce39f344cb4964103ecdc5dd0b80ef49bf","observation_id":"b2d28b33-859d-4179-9c84-d28e0488daf6","resolution":{"observed_at":"2026-08-06T22:28:16.347805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15603","last_updated":"2025-02-21T17:19:23Z","snapshot_observed_at":"2026-08-10T20:03:23.373188Z","submitted_at":"2025-02-21T17:19:23Z","title":"Do Multilingual LLMs Think In English?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15603","snapshot_observed_at":"2026-08-06T22:28:16.437656Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.437656Z"},"links":{"cited_paper":"/paper/2502.15603","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:d69630071f7917bff1047e32c64b5346ad75c22c301f6cbd8dbc98cc0d76080d","observation_id":"839deaa6-6b11-4eb1-8ebc-53e496c089ad","resolution":{"observed_at":"2026-08-06T22:28:16.437656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01335","last_updated":"2025-03-04T18:15:16Z","snapshot_observed_at":"2026-08-12T13:26:01.553357Z","submitted_at":"2024-10-02T08:53:07Z","title":"Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01335","snapshot_observed_at":"2026-08-06T22:28:16.533228Z","title":"arXiv preprint arXiv:2410.01335 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.533228Z"},"links":{"cited_paper":"/paper/2410.01335","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:caeddc3996cf554d2f36d9a79442daf16bcc343c81912d6b2f3793e6c701b04a","observation_id":"217d13fa-9470-4ff1-ba77-619c35ec5d36","resolution":{"observed_at":"2026-08-06T22:28:16.533228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07604","last_updated":"2024-09-11T20:31:42Z","snapshot_observed_at":"2026-08-12T05:20:59.829823Z","submitted_at":"2024-09-11T20:31:42Z","title":"Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages","version":1},"cited_work":{"arxiv_id":"2409.07604","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.07604","snapshot_observed_at":"2026-08-06T22:28:19.918192Z","title":"Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages","venue":"cs.IR","work_id":"786abb61-e37d-402e-b9f9-c231c25618a6","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.607162Z"},"links":{"cited_paper":"/paper/2409.07604","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:1e5c2deffb231b42070007deb624a5469997ef64c173a3c5f292a3068248a1e8","observation_id":"7f6889b5-7d61-45a9-abca-c05e5e03d84d","resolution":{"observed_at":"2026-08-06T22:28:19.964388Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:23.834418Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, vol","venue":null,"work_id":"57719709-b28a-4255-9d20-b280aba7c7f4","year":2023},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.664057Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:322980170daa90ceeb20f0d8d7d15a5e52d57f4b2c09059ebab22e17b0dcee03","observation_id":"549de2bd-ba37-419a-b953-cfbbf36b8946","resolution":{"observed_at":"2026-08-06T22:28:23.923030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:23.634565Z","title":"In: Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29–December 3, 2021, Proceedings, Part II 10, pp","venue":null,"work_id":"2a9d2387-7efa-4521-9e3d-d6bed747f645","year":2021},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.771688Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:52c0cfebeb9a42232e453eb7b0bb66d004c036c603772d56e51f8928d6457740","observation_id":"961954f2-cb78-4716-b875-c2883ad8a3f8","resolution":{"observed_at":"2026-08-06T22:28:23.731626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23838","last_updated":"2025-05-28T13:23:38Z","snapshot_observed_at":"2026-08-09T21:29:24.735992Z","submitted_at":"2025-05-28T13:23:38Z","title":"Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities","version":1},"cited_work":{"arxiv_id":"2505.23838","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.23838","snapshot_observed_at":"2026-08-06T22:28:19.709432Z","title":"Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities","venue":"cs.CL","work_id":"c9a632e3-5190-419f-ba45-55cb5f81f607","year":2025},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.842537Z"},"links":{"cited_paper":"/paper/2505.23838","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:3c56e4227e117fe3a19b19f32238a90e598b4fed2b9150a1475e5181691541d9","observation_id":"30d02799-60f8-469f-8b12-24889f7d931b","resolution":{"observed_at":"2026-08-06T22:28:19.800609Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.08887","last_updated":"2019-02-02T23:53:18Z","snapshot_observed_at":"2026-07-06T07:03:52.901427Z","submitted_at":"2018-09-24T13:03:13Z","title":"Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.08887","snapshot_observed_at":"2026-08-06T22:28:16.928413Z","title":"arXiv preprint arXiv:1809.08887 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:16.928413Z"},"links":{"cited_paper":"/paper/1809.08887","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:4e5a678326560b1cb478098139e1d4298c036f7e5b8900249c6a997ee498d5ea","observation_id":"2a0d6948-d175-46b3-9d0a-b8ab49c72f91","resolution":{"observed_at":"2026-08-06T22:28:16.928413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13293","last_updated":"2019-10-16T14:20:19Z","snapshot_observed_at":"2026-08-04T06:58:06.074926Z","submitted_at":"2019-09-29T14:41:47Z","title":"A Pilot Study for Chinese SQL Semantic Parsing","version":2},"cited_work":{"arxiv_id":"1909.13293","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.13293","snapshot_observed_at":"2026-08-06T22:28:19.408668Z","title":"A Pilot Study for Chinese SQL Semantic Parsing","venue":"cs.CL","work_id":"4f642df4-76dd-48e1-9ebd-f06bdd0837c1","year":2019},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.011579Z"},"links":{"cited_paper":"/paper/1909.13293","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:0c51e60856cdee7c078caf5b323c9dd477f673ff708f0b7a07ab42194425a4ca","observation_id":"b83354ea-302c-48b0-b80d-2a8778ff5601","resolution":{"observed_at":"2026-08-06T22:28:19.555545Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:23.461255Z","title":"IEEE Access (2024)","venue":null,"work_id":"f972f67a-2cb0-4483-8665-af92cb3df7d4","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.093961Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:5913e1a3b6e01f2490b0a9f971a39e2bac8d7f62b809212d3a02b99b5667a66e","observation_id":"8d28ced0-5c24-4b0f-821e-ce5c84f86ed4","resolution":{"observed_at":"2026-08-06T22:28:23.553759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:23.280809Z","title":"In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, pp","venue":null,"work_id":"811c4800-239e-47c0-a683-4dc8efee2193","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.175711Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:11c9fc76822cca471a15328cc61b90bfd3366401e0b7d9cb02afcb7819db77c5","observation_id":"e3b7b183-31b5-466d-a688-6f944188ad13","resolution":{"observed_at":"2026-08-06T22:28:23.367832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03170","last_updated":"2024-06-06T08:29:23Z","snapshot_observed_at":"2026-08-10T05:18:51.905751Z","submitted_at":"2024-06-05T12:03:19Z","title":"StatBot.Swiss: Bilingual Open Data Exploration in Natural Language","version":2},"cited_work":{"arxiv_id":"2406.03170","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.03170","snapshot_observed_at":"2026-08-06T22:28:19.189522Z","title":"StatBot.Swiss: Bilingual Open Data Exploration in Natural Language","venue":"cs.CL","work_id":"5d52f4b4-bfac-4539-ae71-7f20dd43ccbd","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.257159Z"},"links":{"cited_paper":"/paper/2406.03170","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:46bdd1ce076870fb18d3c35159e6e98556fc62de84b1d6ef22c3f4e076304f82","observation_id":"61c32c2f-5c9c-4c1e-8951-251f3120bc93","resolution":{"observed_at":"2026-08-06T22:28:19.266755Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:23.142228Z","title":"In: Simp´ osio Brasileiro de Sistemas de Informa¸ c˜ ao (SBSI), pp","venue":null,"work_id":"48299189-c192-48c8-bac4-d49845349241","year":2025},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.324222Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:8c46e5182d945cda60e354d9b3e15ac2953e4334edce6fdd5b8bde86830dbb0b","observation_id":"38d87c32-7c4c-4ba1-870b-3179c7393e2a","resolution":{"observed_at":"2026-08-06T22:28:23.216498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:23.006448Z","title":"In: Findings of the Association for Computational Linguistics: EMNLP 2022, pp","venue":null,"work_id":"6dee4da8-543a-42d2-b898-6eaac2b99ab4","year":2022},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.389894Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:89899c7b596bd84c1dfec0ff39ed00b2e0152396aee2fb23a7be863780773b66","observation_id":"6e3defcd-4883-4869-b5c5-f95d56eb8923","resolution":{"observed_at":"2026-08-06T22:28:23.088364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:22.722722Z","title":"Transactions of the Association for Computational Linguistics (2022)","venue":null,"work_id":"6ed6cc2c-35cf-4e1f-8d2b-9749f101bfdc","year":2022},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.474141Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:8613a73401f3be8235699b55b65ee7da5593d02cc16ca2805ec7add4d6262175","observation_id":"77b8df0f-ea8e-44a1-86fb-3639b7e524c9","resolution":{"observed_at":"2026-08-06T22:28:22.872091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06041","last_updated":"2024-07-08T15:37:51Z","snapshot_observed_at":"2026-08-07T08:42:40.367898Z","submitted_at":"2024-07-08T15:37:51Z","title":"MST5 -- Multilingual Question Answering over Knowledge Graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06041","snapshot_observed_at":"2026-08-06T22:28:17.561931Z","title":"arXiv preprint arXiv:2407.06041 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.561931Z"},"links":{"cited_paper":"/paper/2407.06041","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:a339425347e89b88db3233e90ef7f83f8c0f68303a9ebfd615646e60a47a2107","observation_id":"ee8e1e4d-5ef8-483c-9961-361a5863b578","resolution":{"observed_at":"2026-08-06T22:28:17.561931Z","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":"2026-08-06T22:28:22.462285Z","title":"Semantic Web 15(5), 2089–2124 (2024) Text2Cypher Across Languages: Evaluating and Finetuning LLMs 15","venue":null,"work_id":"0f776f0a-a75b-4e90-a9cc-098508dece5b","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.642433Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:d0eb02a16e7897118771b337800c226c1ed0dc16b84724da88f6fccb34c77dd2","observation_id":"a709c2c6-39ef-4d8b-a0ed-2db3352d7981","resolution":{"observed_at":"2026-08-06T22:28:22.581614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:22.254978Z","title":"https://text2sparql.aksw.org/","venue":null,"work_id":"eefd267f-d705-49d5-8251-c61a8de06f7e","year":2025},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.726024Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:540c669a486dca8491ebe9ca8db6f651422142067cadb152bd3c4a87033060d3","observation_id":"ea8845a1-5eba-4b36-b99d-838d79c1d59e","resolution":{"observed_at":"2026-08-06T22:28:22.350055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:21.967836Z","title":"Text2KG (2024)","venue":null,"work_id":"c7295d5a-b19e-4d53-8b32-bbedfbdda3f3","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.792698Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:2d09164e94418dd040dd6e1943d64d57ae72d4f6a768af44a1b990c38ef53ae6","observation_id":"185193e8-4fba-4def-8198-42620e87f736","resolution":{"observed_at":"2026-08-06T22:28:22.098084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:21.605035Z","title":"JAIT 15(10), 1157–1162 (2024)","venue":null,"work_id":"ed30700a-5c37-431f-9dbd-8565e45f5bc0","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.882241Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:3dc9a025cd8074b6f3643a153869d9e78f6e6568bc6675732ef5f292d8488669","observation_id":"c73e7da4-dc39-4d72-a249-46baa2307897","resolution":{"observed_at":"2026-08-06T22:28:21.789402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.09095","last_updated":"2021-01-27T03:39:20Z","snapshot_observed_at":"2026-08-09T01:07:21.765684Z","submitted_at":"2020-04-20T07:19:22Z","title":"The State and Fate of Linguistic Diversity and Inclusion in the NLP World","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09095","snapshot_observed_at":"2026-08-06T22:28:17.943065Z","title":"arXiv preprint arXiv:2004.09095 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:17.943065Z"},"links":{"cited_paper":"/paper/2004.09095","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:80cc2878a00d3c77cb71540762f0756996b15f261711c322040e5ac55cebf214","observation_id":"8c7d3f50-d67e-47ee-8960-2fe67dedd611","resolution":{"observed_at":"2026-08-06T22:28:17.943065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.10534","last_updated":"2021-09-22T06:37:39Z","snapshot_observed_at":"2026-08-12T10:56:16.282542Z","submitted_at":"2021-09-22T06:37:39Z","title":"Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages","version":1},"cited_work":{"arxiv_id":"2109.10534","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.10534","snapshot_observed_at":"2026-08-06T22:28:18.902970Z","title":"Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages","venue":"cs.CL","work_id":"0781a928-8203-4b5d-a1ef-89625f73c2f8","year":2021},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.026181Z"},"links":{"cited_paper":"/paper/2109.10534","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:cb851b72a8b103605a12200d3767c401061cef7da41292c63900b2ac8f56b044","observation_id":"2651cb7e-feca-4a55-9c61-1e4de331a294","resolution":{"observed_at":"2026-08-06T22:28:19.031568Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00593","last_updated":"2025-01-04T20:42:33Z","snapshot_observed_at":"2026-08-10T22:44:49.784357Z","submitted_at":"2024-12-31T18:43:49Z","title":"Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation","version":2},"cited_work":{"arxiv_id":"2501.00593","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.00593","snapshot_observed_at":"2026-08-06T22:28:18.646040Z","title":"Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation","venue":"cs.CL","work_id":"0fa8b8cb-ec8c-41d2-a4dd-8f63d01b3adc","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.094632Z"},"links":{"cited_paper":"/paper/2501.00593","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:58e12e9a5624f37da4649f02f6236651f03d1774209d19794181b3b4499b1303","observation_id":"d9b53986-d931-4055-b753-c42b86f6175b","resolution":{"observed_at":"2026-08-06T22:28:18.739177Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:21.316264Z","title":"In: Proceedings of the 2022 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, pp","venue":null,"work_id":"482a6b6d-63a6-4c25-bf20-92fc3a29b5da","year":2022},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.214700Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:97c44c0d14f62825468db00a35de551fb62e737107979d40c1abc221aa165280","observation_id":"4a08e4db-0020-4a44-a7bc-bc232ff467a5","resolution":{"observed_at":"2026-08-06T22:28:21.459919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:21.162873Z","title":"Natural and Engineering Sciences 5(3), 204–211 (2020)","venue":null,"work_id":"44c29b93-e055-409d-9bd0-b1da8edeeb11","year":2020},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.272848Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:f68943dd0d38336854e643e650b1cc95142bc522a79073f10db0132a733f1565","observation_id":"55f02de2-1b73-498a-82ad-92708a2e03d6","resolution":{"observed_at":"2026-08-06T22:28:21.203894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T22:28:20.890642Z","title":"In: Proceedings of the 31st International Conference on Computational Linguistics, pp","venue":null,"work_id":"1d092827-de6e-4f52-a276-28406324650f","year":2025},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.343419Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:baf84c3c507e2a254f6ba83932be2867201912129951854693b5c98ed3dfbaad","observation_id":"7c8941fc-e4dc-44f4-a59d-fe8749c1324f","resolution":{"observed_at":"2026-08-06T22:28:21.021546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06243","last_updated":"2022-09-13T18:05:12Z","snapshot_observed_at":"2026-08-05T03:06:38.187055Z","submitted_at":"2022-09-13T18:05:12Z","title":"CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06243","snapshot_observed_at":"2026-08-06T22:28:18.396716Z","title":"arXiv preprint arXiv:2209.06243 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.396716Z"},"links":{"cited_paper":"/paper/2209.06243","citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:ee4886846b130a4656232ef4729929d5f6be002180bc77aaf096837bbd25fb20","observation_id":"0cb240ac-3a08-4798-b253-d8a7f3cdac24","resolution":{"observed_at":"2026-08-06T22:28:18.396716Z","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":"2026-08-06T22:28:20.612652Z","title":"https://huggingface.co/ evaluate-metric (2024)","venue":null,"work_id":"c279b5bc-ca8d-46e5-8ac0-a6263ceb556e","year":2024},"citing_paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:18.452019Z"},"links":{"citing_paper":"/paper/2506.21445"},"observation_digest":"sha256:86ed8f64433597acdcd09bb1a6e33007851843f074565b9320ee999f8ccd40ab","observation_id":"42c5c5b9-8470-4547-8528-4a5dc3c39307","resolution":{"observed_at":"2026-08-06T22:28:20.752505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.21445","last_updated":"2025-09-04T18:01:56Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T13:56:02.029340Z","submitted_at":"2025-06-26T16:31:10Z","title":"Text2Cypher Across Languages: Evaluating and Finetuning LLMs"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":19,"verified_exact":2,"verified_fuzzy":18},"total_outbound_references":44},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2506.21445."}