{"as_of":"2026-08-18T17:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1552e08c26e2653617665dfb9d538c2ac857788285b639460d7d1ffaf7a08dc","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T04:08:24.524138Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T12:14:11.661433Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.17502","last_updated":"2024-06-25T12:42:59Z","snapshot_observed_at":"2026-08-16T13:39:47.549512Z","submitted_at":"2024-06-25T12:42:59Z","title":"A Hybrid Approach to Event Reconstruction for Atmospheric Cherenkov Telescopes Combining Machine Learning and Likelihood Fitting","version":1},"cited_work":{"arxiv_id":"2406.17502","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17502","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Schwefer, R","venue":null,"work_id":"3eafbf2a-ed83-4c2b-8058-12e22dd6471a","year":2024},"citing_paper":{"arxiv_id":"2603.04821","last_updated":"2026-05-20T14:32:07Z","snapshot_observed_at":"2026-08-16T02:44:09.347356Z","submitted_at":"2026-03-05T05:12:25Z","title":"Resolving diffusion signatures in distant pulsar halos with current and future experiments","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T12:11:58.523346Z"},"links":{"cited_paper":"/paper/2406.17502","citing_paper":"/paper/2603.04821"},"observation_digest":"sha256:4e97171f66cec4584b328e874afcf8f9821ad656fc0df84b5f0c5eb0eba441cf","observation_id":"efc21526-1d8a-4a6f-a359-2a2e96d2a69c","resolution":{"observed_at":"2026-05-21T12:14:11.663679Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17502","last_updated":"2024-06-25T12:42:59Z","snapshot_observed_at":"2026-08-16T13:39:47.549512Z","submitted_at":"2024-06-25T12:42:59Z","title":"A Hybrid Approach to Event Reconstruction for Atmospheric Cherenkov Telescopes Combining Machine Learning and Likelihood Fitting","version":1},"cited_work":{"arxiv_id":"2406.17502","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17502","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Schwefer, R","venue":null,"work_id":"3eafbf2a-ed83-4c2b-8058-12e22dd6471a","year":2024},"citing_paper":{"arxiv_id":"2604.09402","last_updated":"2026-08-04T13:24:08Z","snapshot_observed_at":"2026-08-15T14:48:32.395203Z","submitted_at":"2026-04-10T15:15:26Z","title":"Enhancing event reconstruction for $\\gamma$-ray particle detector arrays using transformers","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T16:29:19.266355Z"},"links":{"cited_paper":"/paper/2406.17502","citing_paper":"/paper/2604.09402"},"observation_digest":"sha256:74eaeffaf789ef6b73275729ee37717e3068bc553bd4853684ab8b1ef69a3f13","observation_id":"a9705d96-484c-40bb-98af-5ad593eaab3b","resolution":{"observed_at":"2026-05-11T08:50:57.458565Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17502","last_updated":"2024-06-25T12:42:59Z","snapshot_observed_at":"2026-08-16T13:39:47.549512Z","submitted_at":"2024-06-25T12:42:59Z","title":"A Hybrid Approach to Event Reconstruction for Atmospheric Cherenkov Telescopes Combining Machine Learning and Likelihood Fitting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17502","snapshot_observed_at":"2026-07-13T04:08:24.524138Z","title":"Schwefer, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09286","last_updated":"2026-07-10T10:54:41Z","snapshot_observed_at":"2026-08-08T06:09:59.172735Z","submitted_at":"2026-07-10T10:54:41Z","title":"Enhancing the Cherenkov Telescope Array Observatory high-level performance through an event-type-based analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-13T04:08:24.524138Z"},"links":{"cited_paper":"/paper/2406.17502","citing_paper":"/paper/2607.09286"},"observation_digest":"sha256:ebcd35e076b4d87b238303b0b1335c6440c9e610db238ee708a663f4d7d0dfdb","observation_id":"5b699716-795e-4750-a2ff-0224059f911b","resolution":{"observed_at":"2026-07-13T04:08:24.524138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.17502/citation-record","integrity":"/paper/2406.17502/integrity","json":"/paper/2406.17502/citation-record.json","paper":"/paper/2406.17502"},"outbound":[],"paper":{"arxiv_id":"2406.17502","last_updated":"2024-06-25T12:42:59Z","latest_version":1,"primary_category":"astro-ph.HE","snapshot_observed_at":"2026-08-16T13:39:47.549512Z","submitted_at":"2024-06-25T12:42:59Z","title":"A Hybrid Approach to Event Reconstruction for Atmospheric Cherenkov Telescopes Combining Machine Learning and Likelihood Fitting"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.17502."}