{"as_of":"2026-08-10T21:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c9ef3afe73cd3ebebab1442ea3459776ce889d7c61b2c513ec819d11aaedb162","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T15:44:52.749317Z","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":"2026-05-11T23:08:37.064216Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.06090","last_updated":"2024-06-19T11:53:54Z","snapshot_observed_at":"2026-07-06T15:53:11.310262Z","submitted_at":"2023-07-12T11:27:40Z","title":"Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers","version":3},"cited_work":{"arxiv_id":"2307.06090","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.06090","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"68206718-fb82-4c1e-aa20-82f85217345a","year":2023},"citing_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"reference_index":121,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2307.06090","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:cc6bb05c993996eb0c48883e0abcb1fac819d6b17d47dbcedb9ae0e4bd0d56b7","observation_id":"b824fd67-5f1e-4ff1-ace1-b7de4ddd8ed4","resolution":{"observed_at":"2026-05-11T23:08:37.067490Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06090","last_updated":"2024-06-19T11:53:54Z","snapshot_observed_at":"2026-07-06T15:53:11.310262Z","submitted_at":"2023-07-12T11:27:40Z","title":"Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06090","snapshot_observed_at":"2026-08-09T15:44:52.749317Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01325","last_updated":"2025-08-07T02:41:58Z","snapshot_observed_at":"2026-08-10T08:27:30.716635Z","submitted_at":"2025-02-03T12:59:36Z","title":"The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T15:44:52.749317Z"},"links":{"cited_paper":"/paper/2307.06090","citing_paper":"/paper/2502.01325"},"observation_digest":"sha256:4415256fffcee048ca1762e1e1e26068351d9043ab7cebfee9bbd77f78486f8e","observation_id":"4ddc0fae-e612-4a98-97c7-7f3db37c81bc","resolution":{"observed_at":"2026-08-09T15:44:52.749317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06090","last_updated":"2024-06-19T11:53:54Z","snapshot_observed_at":"2026-07-06T15:53:11.310262Z","submitted_at":"2023-07-12T11:27:40Z","title":"Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06090","snapshot_observed_at":"2026-08-06T18:36:05.834924Z","title":"Can large language models aid in annotating speech emotional data? Uncovering new frontiers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07806","last_updated":"2025-07-10T14:30:29Z","snapshot_observed_at":"2026-08-06T18:29:35.096414Z","submitted_at":"2025-07-10T14:30:29Z","title":"End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:36:05.834924Z"},"links":{"cited_paper":"/paper/2307.06090","citing_paper":"/paper/2507.07806"},"observation_digest":"sha256:df71e5e304ce1368ac07fc536c9a00e94f7a288e06a8f6024146bdefcf65235f","observation_id":"70925387-01ac-4823-b521-5d86d47255d9","resolution":{"observed_at":"2026-08-06T18:36:05.834924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06090","last_updated":"2024-06-19T11:53:54Z","snapshot_observed_at":"2026-07-06T15:53:11.310262Z","submitted_at":"2023-07-12T11:27:40Z","title":"Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06090","snapshot_observed_at":"2026-08-06T16:47:56.215196Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12705","last_updated":"2025-07-17T00:39:18Z","snapshot_observed_at":"2026-08-09T16:46:59.928558Z","submitted_at":"2025-07-17T00:39:18Z","title":"AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T16:47:56.215196Z"},"links":{"cited_paper":"/paper/2307.06090","citing_paper":"/paper/2507.12705"},"observation_digest":"sha256:1a40ef742e7a153aebecd98158b563e9a0e844e6e1d76fd104c8835bf690c7af","observation_id":"ee7fefde-3837-4652-a19e-28db5e9fccf9","resolution":{"observed_at":"2026-08-06T16:47:56.215196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.06090/citation-record","integrity":"/paper/2307.06090/integrity","json":"/paper/2307.06090/citation-record.json","paper":"/paper/2307.06090"},"outbound":[],"paper":{"arxiv_id":"2307.06090","last_updated":"2024-06-19T11:53:54Z","latest_version":3,"primary_category":"cs.SD","snapshot_observed_at":"2026-07-06T15:53:11.310262Z","submitted_at":"2023-07-12T11:27:40Z","title":"Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.06090."}