{"as_of":"2026-08-07T15:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:106aad3f28bad3e49d16685e1b8a8ecaeedfcb79128db398705055b76812a891","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":"2026-08-01T19:55:18.061325Z","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":"2026-07-01T00:35:10.333532Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.10666","last_updated":"2025-01-18T06:15:54Z","snapshot_observed_at":"2026-07-06T20:22:45.422714Z","submitted_at":"2025-01-18T06:15:54Z","title":"Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture","version":1},"cited_work":{"arxiv_id":"2501.10666","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.10666","snapshot_observed_at":"2026-07-01T00:35:10.333532Z","title":"arXiv preprint arXiv:2501.10666 , year =","venue":null,"work_id":"3469c5dd-e37a-4ffa-a7cd-5e58a6eb46a6","year":null},"citing_paper":{"arxiv_id":"2606.26107","last_updated":"2026-05-04T15:17:49Z","snapshot_observed_at":"2026-07-07T00:00:31.981360Z","submitted_at":"2026-05-04T15:17:49Z","title":"Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-01T00:29:09.303984Z"},"links":{"cited_paper":"/paper/2501.10666","citing_paper":"/paper/2606.26107"},"observation_digest":"sha256:bb556e7109eda98bd7dbf25f38f6064f6b1e3eef02ef242b0f311a98032c0c37","observation_id":"9274084a-bcfe-402f-8827-62114a6f2b12","resolution":{"observed_at":"2026-07-01T00:35:10.334848Z","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":"2501.10666","last_updated":"2025-01-18T06:15:54Z","snapshot_observed_at":"2026-07-06T20:22:45.422714Z","submitted_at":"2025-01-18T06:15:54Z","title":"Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.10666","snapshot_observed_at":"2026-08-01T19:55:18.061325Z","title":"Speech emotion detection based on MFCC and CNN- LSTM architecture,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16803","last_updated":"2026-07-18T12:50:33Z","snapshot_observed_at":"2026-08-07T00:34:01.944740Z","submitted_at":"2026-07-18T12:50:33Z","title":"Explainable Lightweight Compact Deep Models for Speech Emotion Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T19:55:18.061325Z"},"links":{"cited_paper":"/paper/2501.10666","citing_paper":"/paper/2607.16803"},"observation_digest":"sha256:6fbe776dd8907a8dfb61950c009df9ac4d6def6b77516995e5cbddcd3bbd5527","observation_id":"9e87df13-b8c2-4bf1-a5e3-5575ff89b164","resolution":{"observed_at":"2026-08-01T19:55:18.061325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.10666/citation-record","integrity":"/paper/2501.10666/integrity","json":"/paper/2501.10666/citation-record.json","paper":"/paper/2501.10666"},"outbound":[],"paper":{"arxiv_id":"2501.10666","last_updated":"2025-01-18T06:15:54Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-07-06T20:22:45.422714Z","submitted_at":"2025-01-18T06:15:54Z","title":"Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture"},"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:2501.10666."}