{"as_of":"2026-08-23T12:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:30a00bf2fa39abddca6d6b7551315ce0d18e3c2f2ac7fa632a7c1e5f0ecfdfc9","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T20:02:59.106164Z","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":"2026-08-12T20:02:59.249944Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.02967","last_updated":"2024-07-03T10:03:03Z","snapshot_observed_at":"2026-08-23T03:29:40.723746Z","submitted_at":"2024-07-03T10:03:03Z","title":"Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA","version":1},"cited_work":{"arxiv_id":"2407.02967","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.02967","snapshot_observed_at":"2026-08-12T20:02:59.249944Z","title":"Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA","venue":"eess.SP","work_id":"68ee80c7-3071-41d5-808d-9b506b9187ab","year":2024},"citing_paper":{"arxiv_id":"2411.10101","last_updated":"2024-11-15T10:53:40Z","snapshot_observed_at":"2026-08-14T13:21:08.857672Z","submitted_at":"2024-11-15T10:53:40Z","title":"Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T20:02:59.106164Z"},"links":{"cited_paper":"/paper/2407.02967","citing_paper":"/paper/2411.10101"},"observation_digest":"sha256:bdb49d0c11eb2214ee358e6926583f8076352e1e84ca03a24933d15b9b0ea4b9","observation_id":"79ca1d3f-6ea8-4600-9990-0111ed542f0b","resolution":{"observed_at":"2026-08-12T20:02:59.255611Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.02967/citation-record","integrity":"/paper/2407.02967/integrity","json":"/paper/2407.02967/citation-record.json","paper":"/paper/2407.02967"},"outbound":[],"paper":{"arxiv_id":"2407.02967","last_updated":"2024-07-03T10:03:03Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-23T03:29:40.723746Z","submitted_at":"2024-07-03T10:03:03Z","title":"Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.02967."}