{"as_of":"2026-08-16T19:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5a7abe9e6c929608686ba0b0d13a9c314a6252602c1e0e67be994aed32ac1852","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"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":"2026-08-15T21:31:24.633577Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T09:56:51.249965Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.05316","last_updated":"2020-12-02T09:55:34Z","snapshot_observed_at":"2026-07-06T09:46:35.716050Z","submitted_at":"2020-08-12T13:46:10Z","title":"Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.05316","snapshot_observed_at":"2026-08-15T21:31:24.633577Z","title":"Grossi, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.09686","last_updated":"2025-05-14T18:00:03Z","snapshot_observed_at":"2026-08-16T02:27:03.712722Z","submitted_at":"2025-05-14T18:00:03Z","title":"Precise Standard-Model predictions for polarised Z-boson pair production and decay at the LHC","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:31:24.633577Z"},"links":{"cited_paper":"/paper/2008.05316","citing_paper":"/paper/2505.09686"},"observation_digest":"sha256:b36cbb1701aeb6677248c8788ff0414f2dd787b4dc18f31d96554c7499a94753","observation_id":"aaf961be-4515-4d55-8865-e37284a61dc7","resolution":{"observed_at":"2026-08-15T21:31:24.633577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.05316","last_updated":"2020-12-02T09:55:34Z","snapshot_observed_at":"2026-07-06T09:46:35.716050Z","submitted_at":"2020-08-12T13:46:10Z","title":"Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering","version":2},"cited_work":{"arxiv_id":"2008.05316","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.05316","snapshot_observed_at":"2026-07-02T09:56:51.249965Z","title":"Grossi, J","venue":null,"work_id":"8792b0d5-6bcd-4cda-873c-e245e940e679","year":2020},"citing_paper":{"arxiv_id":"2607.00962","last_updated":"2026-07-01T13:58:21Z","snapshot_observed_at":"2026-08-06T06:11:28.037416Z","submitted_at":"2026-07-01T13:58:21Z","title":"Higher-order effects in amplitude-assisted polarisation extraction with machine-learning techniques","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-02T09:53:40.367066Z"},"links":{"cited_paper":"/paper/2008.05316","citing_paper":"/paper/2607.00962"},"observation_digest":"sha256:b67aedee286326b967bad5518a7525bfe0d962e52c0d4bb9fb9ecccd9d6441fa","observation_id":"2936d2d9-361a-40b5-afed-0cb1c5383eb3","resolution":{"observed_at":"2026-07-02T09:56:51.251263Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2008.05316/citation-record","integrity":"/paper/2008.05316/integrity","json":"/paper/2008.05316/citation-record.json","paper":"/paper/2008.05316"},"outbound":[],"paper":{"arxiv_id":"2008.05316","last_updated":"2020-12-02T09:55:34Z","latest_version":2,"primary_category":"hep-ph","snapshot_observed_at":"2026-07-06T09:46:35.716050Z","submitted_at":"2020-08-12T13:46:10Z","title":"Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering"},"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":"2026-08-16T06:30:59.297886+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 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.05316."}