{"as_of":"2026-08-11T01:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a95b76f56dbf2fef7773295c1fdcdd812ae609f2337e1218d316c5837f2b8707","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:28:23.284835Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.08830/citation-record","integrity":"/paper/2508.08830/integrity","json":"/paper/2508.08830/citation-record.json","paper":"/paper/2508.08830"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:25.695946Z","title":"wisdom of crowds","venue":null,"work_id":"db57ec88-677a-4e85-b65e-24abedc353e8","year":1990},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:22.429241Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:6c44fdafb29425f7668a20252a193b69a5c3ee4661c3e55b0801727d4ce39387","observation_id":"b948491e-4d18-4ffc-8b70-eacbe4efbb11","resolution":{"observed_at":"2026-08-05T21:28:25.814756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:25.385875Z","title":"Please pick the best possible answer that describes the emotion or mental state the person is experiencing from the following options","venue":null,"work_id":"0d3cdd2d-91a5-4bab-a00d-ffd5b8fde013","year":2024},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:22.524845Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:cef4235934b8effcb25c62f7535b2209216d383feaf4075168917498c7a91426","observation_id":"de79490c-1254-46a3-ac86-34d2e28eddfe","resolution":{"observed_at":"2026-08-05T21:28:25.456970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:24.610489Z","title":"wisdom of crowds","venue":null,"work_id":"69d7ecfa-7552-4344-b614-9f7567a8508f","year":null},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:22.703551Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:0f7c444cb134b0f8ca8f6da0d78c69aa26fde32c7e54580a73b067260bd03ef7","observation_id":"5170e71e-003e-4d02-a530-59bdb8ff995a","resolution":{"observed_at":"2026-08-05T21:28:24.774871Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:24.304754Z","title":null,"venue":null,"work_id":"3c17ccc7-2f6d-4929-a02d-25ff4c36514c","year":2024},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:22.792096Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:19562cef4bebdbe7f254d91cd69feaca5335d53cc0cb1ce1c41b14cb7895e2ec","observation_id":"57fed57a-39cf-4b7a-8944-47b85202c081","resolution":{"observed_at":"2026-08-05T21:28:24.436057Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:24.078777Z","title":"Does the Whole Exceed Its Parts? The Effect of AI Explanations on Complementary Team Performance","venue":null,"work_id":"edd96ad9-5527-4dc3-87a4-2644692beda6","year":2021},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:22.913461Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:44a4bb03ec6850bfb1ac3177903ca0802f945ff5ee312a0d9e2e1ef0381ba917","observation_id":"eba58627-de7c-425a-8252-12fe00129c2d","resolution":{"observed_at":"2026-08-05T21:28:24.137753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41562-017-0273-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"How Do We Evaluate Facial Emotion Recognition?","venue":"Nature Human Behaviour","work_id":"087a503f-30f8-4730-97cc-fc5a01969686","year":2016},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:23.197522Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:3dec5991ff4ae816f633797a2686e7b1cbb73fdc96150bf338a3ad6926a518d3","observation_id":"f3307603-9bd8-429a-86cf-063f434b7658","resolution":{"observed_at":"2026-08-05T21:28:23.516186Z","resolver_source":"doi","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":"2102.02503","last_updated":"2021-02-04T09:27:04Z","snapshot_observed_at":"2026-08-10T14:34:27.216500Z","submitted_at":"2021-02-04T09:27:04Z","title":"Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.02503","snapshot_observed_at":"2026-08-05T21:28:23.284835Z","title":"GPT-4o Reads the Mind in the Eyes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:23.284835Z"},"links":{"cited_paper":"/paper/2102.02503","citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:bf584b615c6883840c6d22271013dee55c290dea1170d407ea64b384aef5ba5e","observation_id":"1c7f5032-8e73-4dfd-b830-6a92e3a5c68f","resolution":{"observed_at":"2026-08-05T21:28:23.284835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:23.100593Z","title":"Emotional Intelligence and Social Interaction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:23.100593Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:4a6e332907f3a5bf3e13c32cd0dd0353063d4d646fb7bfd547aa75faf7df446d","observation_id":"7ff4043a-cba3-4ec3-bf24-b10de5046944","resolution":{"observed_at":"2026-08-05T21:28:23.100593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.11990","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:23.814512Z","title":"Language Models Are Few-Shot Learners","venue":null,"work_id":"3003512a-56f3-4411-a660-0bdef67939e5","year":1901},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:23.006036Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:11f9952a4d50c164e8fcde603a0df418f3c6dbb7718b9299888ed7d3362b9aaa","observation_id":"cfb10988-9893-4f93-bfbe-6cd9fe2187a0","resolution":{"observed_at":"2026-08-05T21:28:23.947630Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:28:24.933022Z","title":"To account for the uneven sample sizes, we used mixed-effects models that adjust through partial pooling, allowing flexible group-size handling (Pinheiro and Bates, 2000)","venue":null,"work_id":"b1e784ab-57ce-4470-a1ee-8a98fbdf7420","year":2000},"citing_paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T21:28:22.611549Z"},"links":{"citing_paper":"/paper/2508.08830"},"observation_digest":"sha256:172e7dd8343f03cbf66881a28e56d21376bdbd02f4708a49942d9945ed375939","observation_id":"1d32a8f0-052d-424e-873c-4c1688562a6d","resolution":{"observed_at":"2026-08-05T21:28:25.124747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2508.08830","last_updated":"2025-08-12T10:37:37Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T19:13:27.238446Z","submitted_at":"2025-08-12T10:37:37Z","title":"Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":4},"total_outbound_references":10},"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 11 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2508.08830."}