{"as_of":"2026-08-09T11:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d417621949c6870fee7a2bc250c765d99e75c29cb3ac9b2ba6df248f814f56b","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T14:41:46.950295Z","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":"2026-08-07T14:41:51.635798Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.04041","last_updated":"2020-12-07T20:30:39Z","snapshot_observed_at":"2026-08-08T21:26:22.449123Z","submitted_at":"2020-12-07T20:30:39Z","title":"An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth","version":1},"cited_work":{"arxiv_id":"2012.04041","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.04041","snapshot_observed_at":"2026-08-07T14:41:51.635798Z","title":"An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth","venue":"cs.LG","work_id":"e7c86ff2-5181-44a1-878c-e9e7a4777248","year":2020},"citing_paper":{"arxiv_id":"2505.21529","last_updated":"2025-06-01T10:40:45Z","snapshot_observed_at":"2026-08-07T14:34:43.759244Z","submitted_at":"2025-05-23T15:03:44Z","title":"WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:41:46.950295Z"},"links":{"cited_paper":"/paper/2012.04041","citing_paper":"/paper/2505.21529"},"observation_digest":"sha256:f76afc00fb6ee1437977442c2ac76b43abd8c1c6c24663df726a8bc10b437d63","observation_id":"2666a65d-e85d-4c74-b36e-2f563ce3728c","resolution":{"observed_at":"2026-08-07T14:41:51.700535Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2012.04041/citation-record","integrity":"/paper/2012.04041/integrity","json":"/paper/2012.04041/citation-record.json","paper":"/paper/2012.04041"},"outbound":[],"paper":{"arxiv_id":"2012.04041","last_updated":"2020-12-07T20:30:39Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T21:26:22.449123Z","submitted_at":"2020-12-07T20:30:39Z","title":"An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2012.04041."}