{"as_of":"2026-08-16T23:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:381c49333dcb2997c980d3884252eb941b67d2eb444213beb7ee6b536fbd53cf","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:18:08.739066Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.21074/citation-record","integrity":"/paper/2504.21074/integrity","json":"/paper/2504.21074/citation-record.json","paper":"/paper/2504.21074"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:18:09.452218Z","title":"Information Systems 102, 101824 (2021)","venue":null,"work_id":"1fbdff18-e724-4be8-89bb-64fe653832ef","year":2021},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.540947Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:6d7d00d67116d2e5ebe586f2ce691ea75e7a934021ab1fe30f9babbb53b1d94d","observation_id":"9a4aaac1-7c29-47d3-b3c8-09f676eb5a24","resolution":{"observed_at":"2026-08-16T05:18:09.457410Z","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":"2026-08-16T05:18:09.438646Z","title":"In: BPM, pp","venue":null,"work_id":"30dca9cc-4495-4d62-b5ff-a2350fb70a74","year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.545834Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:edd0edf5bac81dbf4b6f70a8f761042e088f66b625a9eec158255a816070292e","observation_id":"e1e5a72c-1468-474f-b038-dc42af94c818","resolution":{"observed_at":"2026-08-16T05:18:09.443157Z","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":"2408.17316","last_updated":"2024-08-30T14:23:40Z","snapshot_observed_at":"2026-08-16T13:22:37.092346Z","submitted_at":"2024-08-30T14:23:40Z","title":"Bridging Domain Knowledge and Process Discovery Using Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.17316","snapshot_observed_at":"2026-08-16T05:18:08.550235Z","title":"arXiv preprint arXiv:2408.17316 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.550235Z"},"links":{"cited_paper":"/paper/2408.17316","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:23841af2c5567be98a96a803156485dd772f6b2a30cdf346f9c61469a2d45cb4","observation_id":"bd4aa957-ba30-4174-890b-41a76af1d8d6","resolution":{"observed_at":"2026-08-16T05:18:08.550235Z","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":"2026-08-16T05:18:09.425376Z","title":"In: International Conference on Business Process Management, pp","venue":null,"work_id":"321c5070-1de4-4459-bbfe-c95735b0dd02","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.554980Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:159a28001fac1bf84e531e368f9c6af5b19484f9b0e2951b89711f8931a58006","observation_id":"42b427cc-6b28-487f-8ec1-7e87da6e7c3e","resolution":{"observed_at":"2026-08-16T05:18:09.429568Z","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":"2026-08-16T05:18:09.411267Z","title":"In: BPM, pp","venue":null,"work_id":"68bf3c5f-33ce-4eb0-b2a0-32e0700369f0","year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.560115Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:efbf7b8ce6265b8088fff9dc4c66f9e51c38cba307dd9a177aee4c296f571cf0","observation_id":"33e7f222-a037-4b66-873c-39058af2dca8","resolution":{"observed_at":"2026-08-16T05:18:09.415536Z","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":"2307.09909","last_updated":"2023-07-19T11:25:12Z","snapshot_observed_at":"2026-08-16T15:15:02.699478Z","submitted_at":"2023-07-19T11:25:12Z","title":"Chit-Chat or Deep Talk: Prompt Engineering for Process Mining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09909","snapshot_observed_at":"2026-08-16T05:18:08.564348Z","title":"preprint arXiv:2307.09909 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.564348Z"},"links":{"cited_paper":"/paper/2307.09909","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:0d9e9af4f8fbb8f879cf33c722d871ca5a8ea8474b63e4d60d73fec7ed90535b","observation_id":"9f55ad39-553d-4360-b765-e81a2a997473","resolution":{"observed_at":"2026-08-16T05:18:08.564348Z","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":"2026-08-16T05:18:09.397010Z","title":"In: BPMDS, pp","venue":null,"work_id":"397b1025-e9c0-4a46-99c7-2046dcac41b4","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.569659Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:ff0e2004136963ab3868a313ccfa6c4c22463b11b0501ee6a17889f48ad18461","observation_id":"79d56fdb-d13a-4777-94e6-35a5756e2c7b","resolution":{"observed_at":"2026-08-16T05:18:09.401586Z","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":"2026-08-16T05:18:09.382653Z","title":"In: 2024 6th International Conference on Process Mining (ICPM), pp","venue":null,"work_id":"917d407d-0a9f-4cdd-b002-2150fbad421a","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.573923Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:ee67fb964e879ab5bf31b25a1a730ea59800e7a7aef448cc6544910ab3ea1c94","observation_id":"41d84fb7-e505-4dfa-8134-b11500f27ed7","resolution":{"observed_at":"2026-08-16T05:18:09.387664Z","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":"2026-08-16T05:18:09.368222Z","title":"In: Process Mining Handbook, pp","venue":null,"work_id":"2c488f9f-bcb5-4be2-8f16-64ce0eeec994","year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.578217Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:c5054966f49f76c7f77aa916eadaf78de0073633f997cd8b8f0c266064dcc8bb","observation_id":"3042ce8e-43b2-4889-93b0-173d6ef59277","resolution":{"observed_at":"2026-08-16T05:18:09.372364Z","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":"2026-08-16T05:18:09.354450Z","title":"Electronic Notes in Theoretical Computer Science 121, 3–21 (2005)","venue":null,"work_id":"f81970e5-9998-4143-b23b-e27ae87a742d","year":2005},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.582511Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:a92d8e0838eeac798e3b41e214b9981916d4857dcee78cad339435d2919480fb","observation_id":"4d209950-1e50-41e4-8cbb-9e114861f378","resolution":{"observed_at":"2026-08-16T05:18:09.359012Z","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":"2026-08-16T05:18:09.340139Z","title":"Information Systems 38(1), 33–44 (2013)","venue":null,"work_id":"b0229c1b-3498-4627-948b-3cfe80b669d4","year":2013},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.586639Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:0b76a9e26f6c5fc7092ff01f1a3d4521ea54fc78c1c16b62d4be305ee01b9a09","observation_id":"c8d5649d-cc8e-407e-a9d3-7689733c0aa8","resolution":{"observed_at":"2026-08-16T05:18:09.344543Z","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":"2026-08-16T05:18:09.325235Z","title":"In: Process Mining Handbook, pp","venue":null,"work_id":"1f468498-901a-4bbd-bfeb-97231b3544e2","year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.590693Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:a6caf54efa46954848843b4850d9cab72654e66c970a976c08a9b297b225111e","observation_id":"6a603730-e98a-4de4-bbcc-49ee5c6abf41","resolution":{"observed_at":"2026-08-16T05:18:09.330776Z","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":"2026-08-16T05:18:09.309631Z","title":"Artificial Intelligence Review 55(2), 801–827 (2022)","venue":null,"work_id":"fe2355a7-bbbe-4639-9078-d4ac062e85b2","year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.595002Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:18e743e1255d47949ae3ee42a7fced2d81603d6a747e012cbecc668a34f84a12","observation_id":"8531b75b-b4e1-4e57-8328-d359ab149d37","resolution":{"observed_at":"2026-08-16T05:18:09.314741Z","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":"2026-08-16T05:18:09.293789Z","title":null,"venue":null,"work_id":"ea583558-e699-4d75-bd29-941f061cfc49","year":2017},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.599102Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:69e7a96386d72d38f1c68d3272540717a9743a5abb5a4bf4b28181e482cca03b","observation_id":"4ee10aa3-5a4d-4fa0-9b92-86dafd0ff2e2","resolution":{"observed_at":"2026-08-16T05:18:09.298463Z","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":"2026-08-16T05:18:09.280036Z","title":"In: BPM, pp","venue":null,"work_id":"9fe4d657-430f-4009-ac6b-559830e6f21f","year":2021},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.603479Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:3bff64945821f6b3758b6ae8a7737895c60f3e66166606376e3375ad4e69e7dc","observation_id":"044928a8-14ae-4ac8-9128-782925d51754","resolution":{"observed_at":"2026-08-16T05:18:09.284451Z","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":"2026-08-16T05:18:09.265000Z","title":"Zenodo (2024)","venue":null,"work_id":"b3aaad64-6c84-43c4-aef2-5652a156a80d","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.607514Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:077e37d8c2cede1da4f386a78450861859bdb836e06f68713b3270def2c452e9","observation_id":"74e246f3-97ca-4644-97ed-f00685c5b2b7","resolution":{"observed_at":"2026-08-16T05:18:09.269841Z","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":"2026-08-16T05:18:09.250663Z","title":"In: ICPM Workshops, pp","venue":null,"work_id":"be5a350a-707a-4a17-b266-1dcaebdd4fe7","year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.611948Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:2d6bec85bac17cbe7d2ae410b0250eeca7b78514d1c8aa3571e4f962f223c3e4","observation_id":"67194360-e985-43c5-8a64-e0e4053e2b02","resolution":{"observed_at":"2026-08-16T05:18:09.255250Z","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":"2026-08-16T05:18:09.235985Z","title":"In: Application and The- ory of Petri Nets and Concurrency: 34th International Conference, PETRI NETS 2013, Milan, Italy, June 24-28, 2013","venue":null,"work_id":"20b7ee8b-2b97-4da2-8883-de4506cc2700","year":2013},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.616010Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:62fdf5b91caf38b1cacd37caf576a8bccb579ef6f09e30ff36ef39de9f15e5fb","observation_id":"2fd8de85-e86a-4b95-8f19-e7dd648f4abd","resolution":{"observed_at":"2026-08-16T05:18:09.240818Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:18:08.620061Z","title":"Advances in neural information processing systems 30 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.620061Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:1da6060327b625d194c55882186d74cd2cffc326536d62c641dccf5fcb4a205d","observation_id":"57d2602e-c680-44ed-86b7-f228e156213a","resolution":{"observed_at":"2026-08-16T05:18:08.620061Z","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":"2026-08-16T05:18:09.211338Z","title":"In: NAACL, pp","venue":null,"work_id":"28119cec-3296-4dcb-8236-70481b1f02f8","year":2019},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.625337Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:4a4ffc7786d298bf8090d0b174fbe10d66d3214e5313cc8583a407934664fcba","observation_id":"3279266f-29ad-4866-91c2-6e2731795a20","resolution":{"observed_at":"2026-08-16T05:18:09.215881Z","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":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-16T05:18:08.630337Z","title":"arXiv:1907.11692 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.630337Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:0bd6a59ebeca45ce6b8c9998786c828f073238649b396f220e262e5ceed8a84b","observation_id":"0f755642-0b65-4dc9-97a7-801387e617dd","resolution":{"observed_at":"2026-08-16T05:18:08.630337Z","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":"2026-08-16T05:18:09.196977Z","title":": Language models are few-shot learners","venue":null,"work_id":"66574044-3915-428d-b97a-b8504045424f","year":2020},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.634721Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:b2e591d1911c854c4c21c02669d5fffc7b66c9ce070b03f59fd4ad86d4e1f5d2","observation_id":"895e1701-135a-42d9-8233-a16e317e7a95","resolution":{"observed_at":"2026-08-16T05:18:09.201530Z","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":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-16T05:18:08.639113Z","title":"arXiv:2302.13971 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.639113Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:b7d31eea59dab58914354457350f54a07bb02e018d52fc21f9ca37b92f013e56","observation_id":"0f965553-312a-4bae-92de-99075821266a","resolution":{"observed_at":"2026-08-16T05:18:08.639113Z","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":"2026-08-16T05:18:09.181231Z","title":": Super- naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks","venue":null,"work_id":"e3276d63-e1f7-4cdb-a40a-ca32ff58964f","year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.643876Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:b8feb35be7463df19ce9860dc3eeadcfffc6589fb0b62259cf8351ddaaf1283c","observation_id":"466e14ed-2ebf-47b0-b28c-4f182d14416f","resolution":{"observed_at":"2026-08-16T05:18:09.186886Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:18:08.648175Z","title":"arXiv:2308.10792 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.648175Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:89701ba657be6b65803085c9a3fe614f777d88574d0a917b2276c7c2fcdfd001","observation_id":"98188629-6846-4210-ac9e-a01a385f9e88","resolution":{"observed_at":"2026-08-16T05:18:08.648175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00234","last_updated":"2024-10-05T11:47:02Z","snapshot_observed_at":"2026-07-06T14:36:25.690733Z","submitted_at":"2022-12-31T15:57:09Z","title":"A Survey on In-context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00234","snapshot_observed_at":"2026-08-16T05:18:08.652375Z","title":"arXiv:2301.00234 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.652375Z"},"links":{"cited_paper":"/paper/2301.00234","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:681afe041ea314334967bf567f46ca4519de64f5bb78500981739b907bfe9490","observation_id":"bdd1777a-c170-4811-ab41-7370ec7ab2d7","resolution":{"observed_at":"2026-08-16T05:18:08.652375Z","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":"2026-08-16T05:18:08.656701Z","title":"In: International Conference on Learning Representations (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.656701Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:696ba2f78a51bdc28f95bd18dc6a6a6209762d29fea6ca2f721ddd66bd7a465b","observation_id":"0a3f7241-44ff-4eb6-8859-7fb9d78bc292","resolution":{"observed_at":"2026-08-16T05:18:08.656701Z","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":"2026-08-16T05:18:09.158552Z","title":"56, (2018)","venue":null,"work_id":"96d7ed9b-796d-469c-88be-78bd1ccb2f5b","year":2018},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.660894Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:636475e71589d4c87bdcc8b69d1924b55165b9bfca941d81ede1a2c180e934ee","observation_id":"b619f0c2-a0ea-44b9-b070-860dfbe380dd","resolution":{"observed_at":"2026-08-16T05:18:09.163353Z","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":"2026-08-16T05:18:09.144783Z","title":"In: Interna- tional Conference on Learning Representations (2018)","venue":null,"work_id":"3d4b1bd7-1524-4cca-b555-815a713701ca","year":2018},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.665226Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:687859409775fa5b1a4af5b1b2a047b7230b193b11d6b597a7b2e7dcc6bb03c1","observation_id":"12febded-e5e4-45f2-b219-1284773fa5fe","resolution":{"observed_at":"2026-08-16T05:18:09.149262Z","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":"2026-08-16T05:18:09.130220Z","title":"In: International Conference on Enterprise Design, Operations, and Computing, pp","venue":null,"work_id":"3509790e-8d5e-42a3-92f7-4eb8dd83f937","year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.669608Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:35e63c2cb1fcd6dc7be10fea7559d7826ab347a55f491ffb9917efb8e0e1441c","observation_id":"46d90c88-19ad-48e5-ae45-b241edd40b80","resolution":{"observed_at":"2026-08-16T05:18:09.134687Z","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":"2110.03754","last_updated":"2023-10-25T11:11:16Z","snapshot_observed_at":"2026-08-16T17:51:01.176355Z","submitted_at":"2021-10-07T19:12:24Z","title":"Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.03754","snapshot_observed_at":"2026-08-16T05:18:08.673927Z","title":"arXiv preprint arXiv:2110.03754 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.673927Z"},"links":{"cited_paper":"/paper/2110.03754","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:3a2318329178c01aee4f23dab1e8b861516e5015ecd8a18b267ca9f570a7f6fd","observation_id":"e094d283-50b6-47da-a9a2-d559201626ab","resolution":{"observed_at":"2026-08-16T05:18:08.673927Z","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":"2026-08-16T05:18:09.115347Z","title":null,"venue":null,"work_id":"14410fd5-7c2b-4238-b747-d95db8d15904","year":2022},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.678778Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:6a5e8c963832c764fe426b94f5b8e072555d6419536e4ae18a7fbf9929a814a1","observation_id":"0db2807e-859b-4379-bb9e-bde1913ac183","resolution":{"observed_at":"2026-08-16T05:18:09.119544Z","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":"2026-08-16T05:18:09.101299Z","title":"In: ICPM, pp","venue":null,"work_id":"66233742-3d98-4748-980e-2086ce12d1fa","year":2021},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.683210Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:f29150a8a19baa68e23be049e2a72bfe685e38c8a7b16cb8c5ff23a143f4245b","observation_id":"ce60799e-4ccb-4944-87b9-133548273ce3","resolution":{"observed_at":"2026-08-16T05:18:09.105635Z","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":"2026-08-16T05:18:09.087362Z","title":"In: BPM, pp","venue":null,"work_id":"9d02b23b-c28c-40a2-a133-6948914eef6c","year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.687597Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:6285d72a1eeebb535d8c2b542b957e31d136a7e096f3a0fda1ab3a6b4f91c119","observation_id":"46be60a2-172b-4d54-aa90-cc816a0d902e","resolution":{"observed_at":"2026-08-16T05:18:09.091849Z","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":"2403.07541","last_updated":"2024-04-08T13:20:38Z","snapshot_observed_at":"2026-08-16T14:10:36.949144Z","submitted_at":"2024-03-12T11:27:47Z","title":"Process Modeling With Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07541","snapshot_observed_at":"2026-08-16T05:18:08.691956Z","title":"arXiv:2403.07541 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.691956Z"},"links":{"cited_paper":"/paper/2403.07541","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:7a61c7b11c0589a3fabe7b16799c9ca56746c14dd9466d3aa6b933ce4afa4e62","observation_id":"9d7617e3-eb5b-4991-81b0-c0930ab393fa","resolution":{"observed_at":"2026-08-16T05:18:08.691956Z","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":"2026-08-16T05:18:09.071512Z","title":"In: International Conference on Business Process Management, pp","venue":null,"work_id":"4cd1a917-4d02-43b4-b1ef-cf25892ebd0b","year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.696463Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:f7e0c88cf6dc37b1412b1a39d279945d340ad3869e0512e91d855f2fd4213e4c","observation_id":"0a1b2860-4cdd-413a-aa76-fdafb99a8c44","resolution":{"observed_at":"2026-08-16T05:18:09.076425Z","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":"2026-08-16T05:18:09.056357Z","title":"In: International Conference on Business Process Management, pp","venue":null,"work_id":"d5416e18-f31c-4b79-ae79-70f15813fd69","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.700895Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:5e07eca7ef8c542941bd2f6eba7d24125f59f5dd058ac7ab887dfb88fa00bc08","observation_id":"7280050c-94c7-4414-b02f-3f7419727127","resolution":{"observed_at":"2026-08-16T05:18:09.061050Z","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":"2026-08-16T05:18:09.040573Z","title":"In: International Conference on Cooperative Information Systems, pp","venue":null,"work_id":"6ada988c-0f37-4d3a-b5ef-c8a982e96b85","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.705161Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:3c1b0e9ff7b16111fb95eb26a28d8cca4cd7fa13b3c3753a37659f9bab9b2748","observation_id":"94de81ca-d9ae-418a-a464-39216bb37c0f","resolution":{"observed_at":"2026-08-16T05:18:09.045475Z","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":"2026-08-16T05:18:09.025850Z","title":"In: International Conference on Process Mining, pp","venue":null,"work_id":"0e78c045-95dc-4177-b082-0c051375e955","year":2023},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.709348Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:f2275c754d8aa3fc5aaac7fb084d9afe043ca642bd99cd0271401c0a7c772196","observation_id":"cd6f5cbe-a719-4b42-a06f-fab0db2f46a8","resolution":{"observed_at":"2026-08-16T05:18:09.030767Z","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":"2026-08-16T05:18:09.011032Z","title":"In: BPMDS, pp","venue":null,"work_id":"b4cffde3-f469-48d5-9b7a-f3c5ef4b2f9b","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.714564Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:fa73918015f000842a24e00958d704b51ac17d5ab0798e757ebbf7850f84442a","observation_id":"66dccf4e-0013-4190-a2b6-ca474091cfdf","resolution":{"observed_at":"2026-08-16T05:18:09.015564Z","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":"2407.13244","last_updated":"2024-07-18T07:57:31Z","snapshot_observed_at":"2026-08-16T13:33:10.944766Z","submitted_at":"2024-07-18T07:57:31Z","title":"PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.13244","snapshot_observed_at":"2026-08-16T05:18:08.718869Z","title":"arXiv:2407.13244 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.718869Z"},"links":{"cited_paper":"/paper/2407.13244","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:7699c5e189a0752ad2699928b16987ba2fe0be17d4a231e1bccbcfc6a0591b6a","observation_id":"5e547ee4-e143-47db-b79f-32b0ddbdaf7c","resolution":{"observed_at":"2026-08-16T05:18:08.718869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13076","last_updated":"2024-04-15T16:49:59Z","snapshot_observed_at":"2026-08-15T16:38:26.345282Z","submitted_at":"2024-04-15T16:49:59Z","title":"LLM Evaluators Recognize and Favor Their Own Generations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13076","snapshot_observed_at":"2026-08-16T05:18:08.723893Z","title":"preprint arXiv:2404.13076 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.723893Z"},"links":{"cited_paper":"/paper/2404.13076","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:7f30b6d2e4193a0316961063db1fe6704310ef96f2950394afff28f9e6010d5f","observation_id":"3e15637e-ab21-4805-a69f-49fc251d4cca","resolution":{"observed_at":"2026-08-16T05:18:08.723893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03255","last_updated":"2024-10-13T11:32:49Z","snapshot_observed_at":"2026-08-16T13:12:39.570891Z","submitted_at":"2024-10-04T09:18:54Z","title":"Towards a Benchmark for Large Language Models for Business Process Management Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03255","snapshot_observed_at":"2026-08-16T05:18:08.728411Z","title":"arXiv preprint arXiv:2410.03255 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.728411Z"},"links":{"cited_paper":"/paper/2410.03255","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:01626b588a492d78121cead701331504aeb72444d741d16e8e0493bbdda42fd2","observation_id":"db1a36e2-7208-41ae-b03e-17dc35df21e9","resolution":{"observed_at":"2026-08-16T05:18:08.728411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00023","last_updated":"2024-11-17T08:28:53Z","snapshot_observed_at":"2026-08-16T11:50:53.570107Z","submitted_at":"2024-11-17T08:28:53Z","title":"Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00023","snapshot_observed_at":"2026-08-16T05:18:08.733794Z","title":"arXiv preprint arXiv:2412.00023 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.733794Z"},"links":{"cited_paper":"/paper/2412.00023","citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:83deac42857fcf2293eb692df7e1c675d4f9f98b839571b94c87b873a5d0c76c","observation_id":"5fd704a2-3a0d-4be7-bb05-bcc3c1d29de6","resolution":{"observed_at":"2026-08-16T05:18:08.733794Z","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":"2026-08-16T05:18:08.994732Z","title":"KI-K¨ unstliche Intelligenz, 1–15 (2024) 31","venue":null,"work_id":"f3c9d539-bb70-4629-970c-f61af93545cf","year":2024},"citing_paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T05:18:08.739066Z"},"links":{"citing_paper":"/paper/2504.21074"},"observation_digest":"sha256:a1da3f8ae437bf1cfd95104a5dc7cb5d6e3504ef3d2f4c9e9f9c793ea158f258","observation_id":"63feaca5-0891-4a9a-909d-53dd9aad1d0e","resolution":{"observed_at":"2026-08-16T05:18:09.000276Z","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"}}],"paper":{"arxiv_id":"2504.21074","last_updated":"2025-04-29T17:52:28Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-16T05:12:15.175240Z","submitted_at":"2025-04-29T17:52:28Z","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":45},"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 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2504.21074."}