{"as_of":"2026-08-17T03:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1f6a3f1d29906ddd134cfbe2a56f024bd4145f7a73973209cfd10d2aced135c2","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:57:54.616922Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-15T14:54:16.114086Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T11:38:55.523122Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"cited_work":{"arxiv_id":"2505.11270","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.11270","snapshot_observed_at":"2026-08-05T11:38:55.523122Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","venue":"cs.DB","work_id":"2a11a353-102a-4f18-aeb9-9156d46d656e","year":2025},"citing_paper":{"arxiv_id":"2509.02473","last_updated":"2026-05-29T10:01:49Z","snapshot_observed_at":"2026-08-14T18:10:57.872256Z","submitted_at":"2025-09-02T16:25:12Z","title":"FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T11:38:54.826421Z"},"links":{"cited_paper":"/paper/2505.11270","citing_paper":"/paper/2509.02473"},"observation_digest":"sha256:d4066abbac29a967ab6b936267c69160099443c1c5b38958a1096891ab32eee4","observation_id":"a5c75e67-bae5-4afa-b006-a44688e2cd16","resolution":{"observed_at":"2026-08-05T11:38:55.649414Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.11270","snapshot_observed_at":"2026-08-15T14:54:16.114086Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03451","last_updated":"2026-08-04T10:48:11Z","snapshot_observed_at":"2026-08-16T17:20:03.670961Z","submitted_at":"2026-08-04T10:48:11Z","title":"DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T14:54:16.114086Z"},"links":{"cited_paper":"/paper/2505.11270","citing_paper":"/paper/2608.03451"},"observation_digest":"sha256:5b6bf95a1196db4dfa558b5f0e872b9737a7cd10495d20458c3e894de4a28382","observation_id":"30584b48-7d85-4264-90ef-65ac26ac3998","resolution":{"observed_at":"2026-08-15T14:54:16.114086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.11270/citation-record","integrity":"/paper/2505.11270/integrity","json":"/paper/2505.11270/citation-record.json","paper":"/paper/2505.11270"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:55.051705Z","title":"https://platform.openai.com/docs/guides/ text-generation","venue":null,"work_id":"faf2a8ea-f948-4dde-9bea-64000e4bf7d1","year":null},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.519755Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:8d5d2e85e5775816149dad36bec641506539878ff8bbf00cf4191d57f60edcfc","observation_id":"e4453059-530c-42a6-8e51-4bae20cd094e","resolution":{"observed_at":"2026-08-15T20:57:55.055728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.039634Z","title":"Azizi, K","venue":null,"work_id":"2138cf1b-9b72-4f63-b126-ba76c64ed770","year":2025},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.527958Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:fc5d4edf7f07ae21d61ed77cc1b48ea3648cc5e9e600e73be21d8dee7dce7d99","observation_id":"0075bfe5-2843-47d7-af18-367f91747d7c","resolution":{"observed_at":"2026-08-15T20:57:55.043523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-08-14T04:17:22.593941Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-15T20:57:54.531727Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.531727Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:0e16260578750db5c0c453df71f7d407868eb68c135706c508628e064e395bcb","observation_id":"ddfdd3cc-3ace-406e-ae68-5343743f21fc","resolution":{"observed_at":"2026-08-15T20:57:54.531727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:55.026715Z","title":"Chourasia and N","venue":null,"work_id":"a4446ea3-1856-4593-aa2c-fd250048404d","year":2023},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.535851Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:462dd8ca76900fa389c0b947495a19b7e3fbe07f5453dc57d96c8053305e6204","observation_id":"4e38b9d5-98dd-415d-a94a-45d5679aa5b5","resolution":{"observed_at":"2026-08-15T20:57:55.030918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.013511Z","title":null,"venue":null,"work_id":"1bfa210b-2642-49a6-adb6-b3c76f731b4e","year":2024},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.540245Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:1c9a454e1236f072a3321ec6e842875cf019964ef531ad95742c807076b3131b","observation_id":"f7477e08-a060-4127-90e3-68068364bf94","resolution":{"observed_at":"2026-08-15T20:57:55.018106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.000253Z","title":null,"venue":null,"work_id":"8db1daa3-f731-4c0a-9fb1-78e5efdf7751","year":2018},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.544112Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:2310131e3ae800b517f1442e80d9a5abd7580b7244078783c063e7d954b596b2","observation_id":"6820376c-23a8-4c7b-8275-1776e1103d2f","resolution":{"observed_at":"2026-08-15T20:57:55.004358Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23278","last_updated":"2025-10-07T07:13:32Z","snapshot_observed_at":"2026-08-14T03:34:08.418318Z","submitted_at":"2025-03-30T01:58:22Z","title":"Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23278","snapshot_observed_at":"2026-08-15T20:57:54.548048Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.548048Z"},"links":{"cited_paper":"/paper/2503.23278","citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:b469e54a453e1840057f63b1f51a239b14165ce02827afa842822411ddd350fd","observation_id":"028695eb-f944-4e19-8a3a-69922eb89ec4","resolution":{"observed_at":"2026-08-15T20:57:54.548048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:54.987826Z","title":"Jo and I","venue":null,"work_id":"0915e9d9-7060-41bd-b3c5-83ee7649d1d1","year":2024},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.552241Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:009e17c0bd88e53b5e0020bce51a92fe471b1207ed4d1d3551dd3e879afb618d","observation_id":"a8f9fee3-e805-4cc9-81ef-ebcc8f5cc7a0","resolution":{"observed_at":"2026-08-15T20:57:54.992239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.975893Z","title":"Lewis, E","venue":null,"work_id":"98bbd346-f7a7-4a57-9e34-2b56bda12fd4","year":2020},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.556079Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:ab7638d79449428cfe080bb1a12d750c9a4489d51e00ab64ea3b3ac64b099d25","observation_id":"f9d1b990-64a1-4a73-abd8-5110f548a26f","resolution":{"observed_at":"2026-08-15T20:57:54.979593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.964000Z","title":null,"venue":null,"work_id":"38622cd2-5d01-438f-9ba7-f89b2704e541","year":2025},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.559850Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:21807665e409de13bae77a9497d7940b1e24a734031f21b8adcd76cc1cbae08d","observation_id":"93bd53a5-b71e-44de-8dfa-6795507a6d76","resolution":{"observed_at":"2026-08-15T20:57:54.968051Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14696","last_updated":"2024-05-29T15:27:07Z","snapshot_observed_at":"2026-08-16T13:50:08.439767Z","submitted_at":"2024-05-23T15:31:18Z","title":"A Declarative System for Optimizing AI Workloads","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14696","snapshot_observed_at":"2026-08-15T20:57:54.563422Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.563422Z"},"links":{"cited_paper":"/paper/2405.14696","citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:200a9bcfcf05c94de6cf8ea53bdd61a31d386957a6ee991429e9aac741230ac2","observation_id":"30c857ea-b6f2-4297-b03a-094bda90f3af","resolution":{"observed_at":"2026-08-15T20:57:54.563422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:54.567922Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.567922Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:ca2e1300ae0192dedf7d686d41968aefd8d53cb9ebfc90d4cab47ed489d797b3","observation_id":"e956ce58-7e85-43c4-8410-0bd5be053035","resolution":{"observed_at":"2026-08-15T20:57:54.567922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:54.952287Z","title":null,"venue":null,"work_id":"1b83c0f9-776e-419b-be96-29a02ffbf2eb","year":2020},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.571482Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:731464bef4bc132e61da6ab4f63bc94a855d0b8ec2b8869e239e8974ceddbe0d","observation_id":"c93e8f7a-76f4-4218-9ec1-d039e27c0126","resolution":{"observed_at":"2026-08-15T20:57:54.956254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.939175Z","title":"Lu and I","venue":null,"work_id":"48c3f1e9-a9f0-4c78-8a7a-742441ee310e","year":2019},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.574980Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:a589185d9753f7c5ac477928cbc63365869edc3e501cc8c19516bbe5b0258bbe","observation_id":"a7ec0dd4-e489-40e9-961f-bad9b7d750b1","resolution":{"observed_at":"2026-08-15T20:57:54.943847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.927354Z","title":"Nargesian, E","venue":null,"work_id":"87696d19-cfab-435b-8872-dff73ff2bdda","year":1986},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.578341Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:fa66d9dff1b7e59311a40ecc678e9c2467421e51f344ad65df7299286a883537","observation_id":"4faab8a4-09f4-4ac7-8b9b-8110d3eb2383","resolution":{"observed_at":"2026-08-15T20:57:54.931226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T03:30:12.735656Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-15T20:57:54.581824Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.581824Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:3bd6406292c409d88b990ff80f696d475449c95f3b9992a8c8ef2b53ed87e599","observation_id":"eaac19ab-871a-4842-a39f-bccbf29c2684","resolution":{"observed_at":"2026-08-15T20:57:54.581824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:54.585472Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.585472Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:33ae9eb99c3fdade303170d695e03c93d0e3440d9be473072ea6e737a5f7c918","observation_id":"97af26a7-7ca5-4342-a00d-8f207239feef","resolution":{"observed_at":"2026-08-15T20:57:54.585472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:54.908393Z","title":null,"venue":null,"work_id":"91a88ff5-002a-4c3a-9c0d-96506f46d5b9","year":2025},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.589001Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:a52d81b384dfa61fa80e44d82fc9e71930594141a4a147fa3547498c3b9413f5","observation_id":"60973464-f62a-4702-ad90-e6676375c968","resolution":{"observed_at":"2026-08-15T20:57:54.912352Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.896941Z","title":"Reimers and I","venue":null,"work_id":"a27ce4ca-5e46-4904-9594-d2d66d1fb8e5","year":2019},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.592402Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:75ed66f7bda1d1ecb9c8704cabeaa7282724c0f6d52b3a2df1f533408c8ebaca","observation_id":"f158c910-dec1-4929-a6fc-ccf4bce6dfaa","resolution":{"observed_at":"2026-08-15T20:57:54.900856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.884935Z","title":"Schick, J","venue":null,"work_id":"85ab6a38-b3a6-4519-bbaf-8ed6bdc2eb7e","year":2023},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.595997Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:d0e555082707738ec1772eafa0093cef7f2f38d9491ba2cc3617a0a0d910ad86","observation_id":"95447ef7-65a4-4f58-adc7-013526ff6668","resolution":{"observed_at":"2026-08-15T20:57:54.888838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.873703Z","title":"Shuster, M","venue":null,"work_id":"e0f1fb45-df5b-468d-be80-553bd76229a5","year":2022},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.599492Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:5dc30812a0012daa5fe959b34516827c04270f7f162795d01f6454db018d61df","observation_id":"4c7bb339-283e-4023-aa60-fc358d0b6553","resolution":{"observed_at":"2026-08-15T20:57:54.877307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03424","last_updated":"2023-08-07T09:20:32Z","snapshot_observed_at":"2026-08-16T15:10:20.630457Z","submitted_at":"2023-08-07T09:20:32Z","title":"CAESURA: Language Models as Multi-Modal Query Planners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03424","snapshot_observed_at":"2026-08-15T20:57:54.602843Z","title":"Urban and C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.602843Z"},"links":{"cited_paper":"/paper/2308.03424","citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:697ef4face3bfa7f3f5a5ce8d14568cd047989df5cb97b690c980070660173ef","observation_id":"afedc70d-2282-44b2-ab0d-b1c01789849a","resolution":{"observed_at":"2026-08-15T20:57:54.602843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:57:54.862484Z","title":"Urban and C","venue":null,"work_id":"bc306b73-3b11-442a-8f13-8ff16e80d5ca","year":2024},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.606770Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:907dc3b0273854a3f636f15c0621f0905ca992096db8a1f1124d4e107fcb9e2a","observation_id":"1650fe52-dd91-466d-913a-264269699671","resolution":{"observed_at":"2026-08-15T20:57:54.866235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.850192Z","title":"Wang and G","venue":null,"work_id":"d1075e6c-559b-41dc-9409-4ae47fa75d37","year":2025},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.610019Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:907a5535afd26d277cfef691b22fdcc2c41a1ce7f017cedc93b4fb5c15d2839f","observation_id":"7bffd3f3-6871-40d0-aad1-8ca0e2d7f027","resolution":{"observed_at":"2026-08-15T20:57:54.854038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.837291Z","title":null,"venue":null,"work_id":"12c31cc2-585a-4dce-ac02-29a3fda36996","year":null},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.613507Z"},"links":{"citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:8c86e590d697059ff16be464da556919b77b8de3f401cb94c7625485da72de88","observation_id":"1897934f-5460-47f6-8a1a-bc9130f2a46b","resolution":{"observed_at":"2026-08-15T20:57:54.841162Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02147","last_updated":"2024-10-31T02:54:38Z","snapshot_observed_at":"2026-08-16T15:18:37.803337Z","submitted_at":"2023-07-05T09:42:51Z","title":"Recommendation Unlearning via Influence Function","version":4},"cited_work":{"arxiv_id":"2307.02147","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.02147","snapshot_observed_at":"2026-08-15T20:57:54.650124Z","title":"Recommendation Unlearning via Influence Function","venue":"cs.IR","work_id":"9623a412-7859-4267-a43f-4fe11f70b1ff","year":2023},"citing_paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.616922Z"},"links":{"cited_paper":"/paper/2307.02147","citing_paper":"/paper/2505.11270"},"observation_digest":"sha256:29777d74a09199a198941b8671924d271bff5df566d7793fbc0c3c3a738b684b","observation_id":"d58f4f8f-f5e4-419b-ada1-b1ef7448be81","resolution":{"observed_at":"2026-08-15T20:57:54.656316Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.11270","last_updated":"2025-05-16T14:03:30Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-16T19:35:20.666052Z","submitted_at":"2025-05-16T14:03:30Z","title":"TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":26},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2505.11270."}