{"as_of":"2026-08-07T12:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6edc6efe3834c070811ab861da4ae3bab1fcccce1f9e29c59e0f93a7bd4acd56","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":"2026-08-07T06:34:17.273281+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":"2026-06-27T06:01:06.123832Z","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":"2026-07-03T16:08:37.819812Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.06276","last_updated":"2025-01-10T12:10:30Z","snapshot_observed_at":"2026-08-07T03:56:16.962764Z","submitted_at":"2025-01-10T12:10:30Z","title":"PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control","version":1},"cited_work":{"arxiv_id":"2501.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.06276","snapshot_observed_at":"2026-07-03T16:08:37.819812Z","title":"Zhang, A","venue":null,"work_id":"6e1619bf-f11e-4a19-9517-710d0878ae0d","year":2025},"citing_paper":{"arxiv_id":"2511.20657","last_updated":"2026-05-02T12:09:38Z","snapshot_observed_at":"2026-08-04T04:33:44.290883Z","submitted_at":"2025-10-11T07:40:36Z","title":"Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects","version":2},"reference_index":150,"source":"pdf_text","source_observed_at":"2026-05-18T08:11:31.181704Z"},"links":{"cited_paper":"/paper/2501.06276","citing_paper":"/paper/2511.20657"},"observation_digest":"sha256:472b307a48d21d38748c006f8344b72e71bfa1267ee99e5cfed0be119c081585","observation_id":"596feb8c-5bfb-4a1f-86f2-051aa62c4a9a","resolution":{"observed_at":"2026-05-18T08:12:30.260198Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06276","last_updated":"2025-01-10T12:10:30Z","snapshot_observed_at":"2026-08-07T03:56:16.962764Z","submitted_at":"2025-01-10T12:10:30Z","title":"PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control","version":1},"cited_work":{"arxiv_id":"2501.06276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.06276","snapshot_observed_at":"2026-07-03T16:08:37.819812Z","title":"Zhang, A","venue":null,"work_id":"6e1619bf-f11e-4a19-9517-710d0878ae0d","year":2025},"citing_paper":{"arxiv_id":"2606.13006","last_updated":"2026-06-11T07:42:38Z","snapshot_observed_at":"2026-08-05T05:54:49.499804Z","submitted_at":"2026-06-11T07:42:38Z","title":"Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T06:01:06.123832Z"},"links":{"cited_paper":"/paper/2501.06276","citing_paper":"/paper/2606.13006"},"observation_digest":"sha256:c5aa373b68b5b2e7d6a7434092d6193ee86c75aa44e3709efef3ca44e6ed5ee3","observation_id":"404d4c5d-a7f2-4f4c-8bca-76eff04cbb5a","resolution":{"observed_at":"2026-07-03T16:08:37.821400Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.06276/citation-record","integrity":"/paper/2501.06276/integrity","json":"/paper/2501.06276/citation-record.json","paper":"/paper/2501.06276"},"outbound":[],"paper":{"arxiv_id":"2501.06276","last_updated":"2025-01-10T12:10:30Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-07T03:56:16.962764Z","submitted_at":"2025-01-10T12:10:30Z","title":"PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.06276."}