{"as_of":"2026-08-17T21:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6b6b0e4b3a757f7e96ba6943da8e7a30caaa5227a5f1c5f84020e3a837f033f","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":"2026-08-17T06:30:58.91139+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":"2026-08-10T20:39:45.002850Z","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":"2026-08-07T04:57:26.851681Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.12501","last_updated":"2023-05-21T16:37:21Z","snapshot_observed_at":"2026-08-17T16:15:09.746651Z","submitted_at":"2023-05-21T16:37:21Z","title":"Exploring How Generative Adversarial Networks Learn Phonological Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12501","snapshot_observed_at":"2026-08-10T20:39:45.002850Z","title":"Exploring how generative adversarial networks learn phonological representations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.07726","last_updated":"2025-01-13T22:24:52Z","snapshot_observed_at":"2026-08-16T13:35:44.271407Z","submitted_at":"2025-01-13T22:24:52Z","title":"Exploring the encoding of linguistic representations in the Fully-Connected Layer of generative CNNs for Speech","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:39:45.002850Z"},"links":{"cited_paper":"/paper/2305.12501","citing_paper":"/paper/2501.07726"},"observation_digest":"sha256:14988c0d380b1fd2ac6c62607fbc94ced5ba6eb215fde6a3ed0597aca020db26","observation_id":"12633571-9f31-4f0e-b08d-3bd906c634b7","resolution":{"observed_at":"2026-08-10T20:39:45.002850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12501","last_updated":"2023-05-21T16:37:21Z","snapshot_observed_at":"2026-08-17T16:15:09.746651Z","submitted_at":"2023-05-21T16:37:21Z","title":"Exploring How Generative Adversarial Networks Learn Phonological Representations","version":1},"cited_work":{"arxiv_id":"2305.12501","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.12501","snapshot_observed_at":"2026-08-07T04:57:26.851681Z","title":"Exploring How Generative Adversarial Networks Learn Phonological Representations","venue":"cs.CL","work_id":"efd3a52b-06e8-4875-82f2-c8337c2881ab","year":2023},"citing_paper":{"arxiv_id":"2506.09218","last_updated":"2025-06-10T20:22:33Z","snapshot_observed_at":"2026-08-16T22:43:56.682599Z","submitted_at":"2025-06-10T20:22:33Z","title":"A Technique for Isolating Lexically-Independent Phonetic Dependencies in Generative CNNs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:57:26.716050Z"},"links":{"cited_paper":"/paper/2305.12501","citing_paper":"/paper/2506.09218"},"observation_digest":"sha256:cc70472656957b19a04e2a4d675dbcdb2faf01bc7a526d26a527dfa2772cea4d","observation_id":"6dcfe65d-b1b1-422a-95d9-781c483061d3","resolution":{"observed_at":"2026-08-07T04:57:26.856240Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.12501/citation-record","integrity":"/paper/2305.12501/integrity","json":"/paper/2305.12501/citation-record.json","paper":"/paper/2305.12501"},"outbound":[],"paper":{"arxiv_id":"2305.12501","last_updated":"2023-05-21T16:37:21Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T16:15:09.746651Z","submitted_at":"2023-05-21T16:37:21Z","title":"Exploring How Generative Adversarial Networks Learn Phonological Representations"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.12501."}