{"as_of":"2026-08-11T11:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:19c58357402206e10165a054d023baca75a32f82c832d296bd1664b0df4e4d47","coverage":[{"denominator":11,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:38:38.593543Z","state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2506.12949/citation-record","integrity":"/paper/2506.12949/integrity","json":"/paper/2506.12949/citation-record.json","paper":"/paper/2506.12949"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.01359","last_updated":"2024-05-02T15:06:18Z","snapshot_observed_at":"2026-08-04T10:36:33.715651Z","submitted_at":"2024-05-02T15:06:18Z","title":"GAIA: A General AI Assistant for Intelligent Accelerator Operations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01359","snapshot_observed_at":"2026-08-07T00:38:37.463000Z","title":"Gaia: A general ai assistant for intelligent acceler- ator operations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:37.463000Z"},"links":{"cited_paper":"/paper/2405.01359","citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:df248386bc3d702f1232dfefd21e7fb9c9a8fee69fc73e8ae6458513e5ed8990","observation_id":"09157470-dbd4-4674-8d03-408c43b00200","resolution":{"observed_at":"2026-08-07T00:38:37.463000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T00:38:37.551268Z","title":"React:Synergizingreasoningandactinginlan- guage models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:37.551268Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:5af463639fda201754030850a69bffe20f7b70f5cc0dd560499017a56f2fe38d","observation_id":"070e0e55-5837-405d-acf5-0192e306c545","resolution":{"observed_at":"2026-08-07T00:38:37.551268Z","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":"2026-08-07T00:38:40.003217Z","title":"Towards llms as operational copilots for fusion reactors,","venue":null,"work_id":"b8b6f356-fb2b-49c4-b0f7-f5f0fe4180ee","year":2023},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:37.621635Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:a12bd568aeb5c9391e1091254cae918e2fe4baf0afea94849b766b75c355e931","observation_id":"ba64cfe7-c765-4b02-b01d-d19873cd8acd","resolution":{"observed_at":"2026-08-07T00:38:40.107981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18429/jacow-icalepcs2023-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:38:38.994849Z","title":"En- hancing electronic logbooks using machine learning,","venue":null,"work_id":"9c9a1836-9c88-480d-bf0f-d595569a703e","year":2023},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:37.873778Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:fa2894e8ea1291bcef5b799240e90425591bfccdfda2a331c7b1295b4f365713","observation_id":"5ccb8fa6-0f9d-41cb-b137-89c08b08855c","resolution":{"observed_at":"2026-08-07T00:38:39.059684Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12881","last_updated":"2024-05-25T13:38:15Z","snapshot_observed_at":"2026-08-08T09:20:55.323697Z","submitted_at":"2024-05-25T13:38:15Z","title":"Towards Unlocking Insights from Logbooks Using AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12881","snapshot_observed_at":"2026-08-07T00:38:38.014369Z","title":"Towards unlocking insights from logbooks using ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:38.014369Z"},"links":{"cited_paper":"/paper/2406.12881","citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:c8503981178f73cecdadc6accc65a5f87ba0f1015672409a415fdb0d87e8456d","observation_id":"434ff16a-767a-4dfe-96ae-6855a66f587d","resolution":{"observed_at":"2026-08-07T00:38:38.014369Z","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":"2026-08-07T00:38:39.650648Z","title":"(), https://github.com/ open-webui/open-webui","venue":null,"work_id":"92460e9b-e46b-4149-8a2e-34e2fd3e6e8e","year":null},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:38.125977Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:7cadb6530d4067433cf1810da355fa95f3d0275c82d8607de806bcda5508fe7e","observation_id":"197cea8f-3a97-4b0a-a119-fa715ddb6619","resolution":{"observed_at":"2026-08-07T00:38:39.766497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2172/2246727","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"The fermilab accelerator division electronic logbook (adel) at 10 years,","venue":null,"work_id":"90292f59-093b-42b8-8d29-319787497110","year":2023},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:38.249945Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:95a856eb48b886221a82a156e55a7a3d5d345e33bec08b1dcff3bb905c99d4b3","observation_id":"d9d28608-42e1-4a1e-8019-c99b86e0e825","resolution":{"observed_at":"2026-08-07T00:38:38.904261Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-07T00:38:38.366784Z","title":"Sentence-bert: Sentence em- beddings using siamese bert-networks,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:38.366784Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:85737464bb3b366ed747b825ebb6694e530bbc109ecb7b84fc949e8635345b97","observation_id":"2758c77a-ffaf-4578-8a99-ac8508937776","resolution":{"observed_at":"2026-08-07T00:38:38.366784Z","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":"2026-08-07T00:38:39.435212Z","title":"https://qdrant.tech","venue":null,"work_id":"7f417d36-43e4-4cef-9362-bd2e3378a126","year":null},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:38.475873Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:94610a851f58295812e0dac7435e9f095d9190b6e805157ec5cd3dd5bd9561f6","observation_id":"c083c5da-834e-4bb8-949a-da2844006759","resolution":{"observed_at":"2026-08-07T00:38:39.571461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T00:38:39.242175Z","title":"Large language models for logbooks: Limits, li- abilities,andlessonslearned,","venue":null,"work_id":"41807ba6-e89e-4c0d-ba98-ae03ab87f3b6","year":2025},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:38.593543Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:a5c7730f5cd5a55d9dadadd3637a49b19e89a6cb2860ffc819d16055256d439e","observation_id":"bdf05bd3-a262-47e2-95dd-9ed619dddae5","resolution":{"observed_at":"2026-08-07T00:38:39.328283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T00:38:39.853637Z","title":null,"venue":null,"work_id":"e5ee45c4-5a2e-4819-be16-0984ba048965","year":null},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:37.767127Z"},"links":{"citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:bbbc8a0c8aaabd201a18b749243ff3c5e4818ae660287ed16eb608ffde932800","observation_id":"867312eb-3409-441b-8001-cdd6539a6450","resolution":{"observed_at":"2026-08-07T00:38:39.927507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","latest_version":1,"primary_category":"hep-ex","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook"},"reference_resolution":{"displayed":11,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":4},"total_outbound_references":11},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2506.12949."}