{"as_of":"2026-08-09T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b7f7d56a0ae9165d7b9a46e2b9218c38cacba156212dee649512751142bf91f","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:51:22.836944Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2509.00077/citation-record","integrity":"/paper/2509.00077/integrity","json":"/paper/2509.00077/citation-record.json","paper":"/paper/2509.00077"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.151406Z","title":null,"venue":null,"work_id":"e8effc98-c7f3-4314-9754-e0d2dc4e6166","year":1992},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.736044Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:71f55cef2324df906577d7245b39cda58de51c6d0dec78244ede9662e970e5aa","observation_id":"7dd30470-f710-44bb-a3b6-4ef935919b68","resolution":{"observed_at":"2026-08-05T15:51:23.155313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11559","last_updated":"2020-08-11T05:48:36Z","snapshot_observed_at":"2026-07-06T08:32:11.354477Z","submitted_at":"2019-10-25T07:46:39Z","title":"SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11559","snapshot_observed_at":"2026-08-05T15:51:22.740660Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.740660Z"},"links":{"cited_paper":"/paper/1910.11559","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:ad0546b15730e43b8e5c0eee12bcaf54254c2bc424f7e9491df9311c361f3e5e","observation_id":"d97dea7c-61bd-4a1b-bfe3-56310cf66e5d","resolution":{"observed_at":"2026-08-05T15:51:22.740660Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.140183Z","title":null,"venue":null,"work_id":"eedbe866-0bd6-438a-b8af-18b14c478b86","year":2021},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.744875Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:e19555e30298b71e6c5246b5a6fe59f1f36ecbbdda17cfb0bec4ccbf4880839d","observation_id":"0de876e0-7545-4319-88f8-a33d6619c2f5","resolution":{"observed_at":"2026-08-05T15:51:23.143856Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.129424Z","title":null,"venue":null,"work_id":"697e9b77-8200-4ff9-b993-a1739132834e","year":2018},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.748300Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:7f825cccc3f1e00891829ae14a96fadca7dc60ab42a6c2abb1c076c91799e0c6","observation_id":"5521c310-441d-4c79-af83-e0ffd8e1e03e","resolution":{"observed_at":"2026-08-05T15:51:23.133054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:22.751936Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.751936Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:4569e3cac9d39d397eb84255ba96e0520f0ba450ad18e49a4b8c343775464376","observation_id":"9719e725-9dae-4845-afbe-16bce85a5940","resolution":{"observed_at":"2026-08-05T15:51:22.751936Z","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":"2026-08-05T15:51:22.755587Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.755587Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:ddbbf08eb752fefd991f5776e62e3f23f90f5c7c540f51d2b05e6a2a9b8d7007","observation_id":"6930f507-ab29-411d-9988-97be751143fc","resolution":{"observed_at":"2026-08-05T15:51:22.755587Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.106714Z","title":null,"venue":null,"work_id":"798856af-1734-49c0-8fb0-52245f5ae780","year":2020},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.759413Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:32eac89d76780601301d8932bea6abf9639c1027ac1e73c69caf0f278292f477","observation_id":"31a27ae1-7853-4a8e-a861-76af2bec4590","resolution":{"observed_at":"2026-08-05T15:51:23.110166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.096584Z","title":null,"venue":null,"work_id":"52eef780-363d-443d-885f-bbeae74b152e","year":2014},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.762811Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:d1f67da65d97991c921b729c9681f660ed1b4e3396d74a10d171e10c4bd120fc","observation_id":"82afccc3-238a-4c26-90c7-6e9087a1c4cf","resolution":{"observed_at":"2026-08-05T15:51:23.099990Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.086498Z","title":null,"venue":null,"work_id":"8d9e1178-129c-4e0e-8a57-84e6f6e4fb4f","year":2013},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.766307Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:fd49765f70cb7be39b184aaaa184ba829dcac832fbb02ee3565ae534fb40e291","observation_id":"3a49ec58-87a0-4660-aeb7-3a901ab6e54a","resolution":{"observed_at":"2026-08-05T15:51:23.089902Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T15:51:22.769701Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.769701Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:969ff7f7eb817807d1427dd863ca113d7c23e43cf806fb1a30e0daf22394018c","observation_id":"c4f4c520-94b1-4641-af00-d4bd517ba638","resolution":{"observed_at":"2026-08-05T15:51:22.769701Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.075809Z","title":null,"venue":null,"work_id":"a6f2a03a-d40f-430a-b78f-53c220ac45fd","year":1995},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.773500Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:7df9b901cfde693ce973e1228a2c4ba605d2b6b88f89c6218be8d9552935f3cb","observation_id":"4d3cb476-b2b6-45e7-a10c-a0a83397684e","resolution":{"observed_at":"2026-08-05T15:51:23.079589Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.065652Z","title":null,"venue":null,"work_id":"62b3e33b-c3af-46ec-aaca-80b30f2ddd99","year":2016},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.776989Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:cf74bdb6f9e541226130d8f97d4b2b4e9afdc669d2cfdec3fc74c9b032f39a71","observation_id":"163b1d63-db4b-4cb1-ba7a-b9bb47ac73f1","resolution":{"observed_at":"2026-08-05T15:51:23.069157Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:22.780287Z","title":"Livingstone and Frank A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.780287Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:a5d3cea2f258df0cf34b270006ed11435e826db626c124ccc1c6b28027703497","observation_id":"6d4537b4-3351-45b9-85cf-2443b3825d18","resolution":{"observed_at":"2026-08-05T15:51:22.780287Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.055473Z","title":null,"venue":null,"work_id":"63d2f10f-2adc-477d-b29d-4f270e387325","year":2015},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.783667Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:a7bfee5c261b0908fc7fa734ed151e4f41c7df08373f0ae6290ef49878ba540f","observation_id":"a881003d-8c6f-4fc1-88f4-fa6ddc01ed45","resolution":{"observed_at":"2026-08-05T15:51:23.059048Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:22.786954Z","title":"Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.786954Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:b0464d21665289786995e8386532dfe11bb45eabd14ecef5a903dffef937071a","observation_id":"3fa2f2c2-9b34-4d48-bd1a-bb6d0fe5f198","resolution":{"observed_at":"2026-08-05T15:51:22.786954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-05T15:51:22.790127Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.790127Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:06c5e19412faaef0194243d5ee7cd1ec69cf25ff8911ad739290d4b597eace0c","observation_id":"bd9d1a58-49cd-4111-9bc8-c703c33f7508","resolution":{"observed_at":"2026-08-05T15:51:22.790127Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.044824Z","title":null,"venue":null,"work_id":"457f3729-a458-4bfb-870a-655f8693b4e4","year":2011},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.794052Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:5cce07bb52093fc4c1ae72cc7f354390a32a6836ea12975bb3c7acead48ad591","observation_id":"417e8d98-96a9-4215-8b3e-94469644daa1","resolution":{"observed_at":"2026-08-05T15:51:23.048120Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.034463Z","title":null,"venue":null,"work_id":"4b7a9df4-3642-4583-a041-7f78aedebf79","year":2015},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.797525Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:11247c21e8d4f6104573a5ce1690c8301ccef40e8beffbe1f91efca42391a6fb","observation_id":"4babf694-1639-4042-b3fb-97c73b856f12","resolution":{"observed_at":"2026-08-05T15:51:23.037882Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.05862","last_updated":"2019-09-11T08:19:49Z","snapshot_observed_at":"2026-08-06T05:33:37.746688Z","submitted_at":"2019-04-11T17:29:30Z","title":"wav2vec: Unsupervised Pre-training for Speech Recognition","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.05862","snapshot_observed_at":"2026-08-05T15:51:22.800840Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.800840Z"},"links":{"cited_paper":"/paper/1904.05862","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:c482df7166849b1222e414418f4628c4a279cee05bd96b30f7a76ed4fb958ba3","observation_id":"58a00d04-42ad-4dd7-a6ad-02046ed1ef14","resolution":{"observed_at":"2026-08-05T15:51:22.800840Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:51:23.023672Z","title":null,"venue":null,"work_id":"538f6375-e325-440a-9390-8c43063acc20","year":2003},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.804522Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:06c93d1adccb3339d5a42b8eed95545c5b7ea8c13bb7c0ac0d5f90bd3192d38b","observation_id":"7f1e93ce-9273-43e3-91fe-dcd6697162b7","resolution":{"observed_at":"2026-08-05T15:51:23.027173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14905","last_updated":"2025-08-12T02:55:29Z","snapshot_observed_at":"2026-08-05T21:26:30.557020Z","submitted_at":"2025-08-12T02:55:29Z","title":"Privacy Preserving Inference of Personalized Content for Out of Matrix Users","version":1},"cited_work":{"arxiv_id":"2508.14905","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.14905","snapshot_observed_at":"2026-08-05T15:51:22.934212Z","title":"Privacy Preserving Inference of Personalized Content for Out of Matrix Users","venue":"cs.IR","work_id":"4595196f-1f40-41e5-b5b8-4ab8836bf0a2","year":2025},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.807850Z"},"links":{"cited_paper":"/paper/2508.14905","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:833951389adbd7f4c67d6c864dc2607135a04ce5105f017fbabaf976b8ecff17","observation_id":"f1b0cd72-e0bc-4f6e-bc2a-b3a7311798a6","resolution":{"observed_at":"2026-08-05T15:51:22.938194Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.012757Z","title":null,"venue":null,"work_id":"bf844ace-61e3-4d41-9c75-16c654a1f54a","year":2017},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.811494Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:18d7348a32f1b810d9a9d92472517a5d12adcb75462fbef088368de1e9beaefc","observation_id":"ea0c5479-eedb-4b13-adb8-5f3f76a95983","resolution":{"observed_at":"2026-08-05T15:51:23.016393Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-05T15:51:22.814736Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.814736Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:93312dec66998dfb4b37c639431423dbb04a67f5d762a360fcc94aaa0f451d21","observation_id":"907a3f3a-cf28-4fe2-a41a-6eeb0e60115f","resolution":{"observed_at":"2026-08-05T15:51:22.814736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13593","last_updated":"2020-04-09T11:21:07Z","snapshot_observed_at":"2026-08-08T13:36:27.801521Z","submitted_at":"2020-03-30T16:20:46Z","title":"How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference","version":2},"cited_work":{"arxiv_id":"2003.13593","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.13593","snapshot_observed_at":"2026-08-05T15:51:22.909699Z","title":"How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference","venue":"cs.LG","work_id":"9a17a6eb-f317-4932-bc71-801490100e49","year":2020},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.818598Z"},"links":{"cited_paper":"/paper/2003.13593","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:0771f5854806651264eed5667adcb9b82781951c2063640827106874aea2403d","observation_id":"ff08ca50-5601-430e-8daa-4263915a72a8","resolution":{"observed_at":"2026-08-05T15:51:22.913213Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.13184","last_updated":"2025-08-14T00:55:18Z","snapshot_observed_at":"2026-08-08T05:30:53.405420Z","submitted_at":"2025-08-14T00:55:18Z","title":"BERT-VQA: Visual Question Answering on Plots","version":1},"cited_work":{"arxiv_id":"2508.13184","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.13184","snapshot_observed_at":"2026-08-05T15:51:22.892126Z","title":"BERT-VQA: Visual Question Answering on Plots","venue":"cs.LG","work_id":"63257c96-ed61-4eeb-8f93-bd7cfe1c65e3","year":2025},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.822053Z"},"links":{"cited_paper":"/paper/2508.13184","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:009d6e3bbc4f8487effbbc998bece4534e8819ee5cc61243c85cbd2c8f60d459","observation_id":"9cc3bbc0-e031-4022-9b3d-0c10ede046ef","resolution":{"observed_at":"2026-08-05T15:51:22.898136Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T15:51:23.001903Z","title":null,"venue":null,"work_id":"f90fb4c7-89a9-46f2-90c1-cec53e38476e","year":2025},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.825971Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:9d48a67b56cc972c62b9c9c61101ca764cdc2d2ea9c3b987643f30c72e3b2acf","observation_id":"b382023b-822b-4b83-909b-a6115bd5aabf","resolution":{"observed_at":"2026-08-05T15:51:23.005406Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-05T15:51:22.829472Z","title":"Dauphin, and David Lopez-Paz","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.829472Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:7320119fbc79e8bf2ef23d21d667bd7a0a43680ced3f0156e3b32864a52f776c","observation_id":"dbf7addc-645f-4631-aa74-2a2ae263d3d2","resolution":{"observed_at":"2026-08-05T15:51:22.829472Z","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":"2026-08-05T15:51:22.833090Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.833090Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:14c05defb2125b651818cb6918e1f469eb352c1d33702043dbca68b3dab492b5","observation_id":"d6286d2f-0773-4ee1-872f-b79eaa2d5473","resolution":{"observed_at":"2026-08-05T15:51:22.833090Z","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":"2026-08-05T15:51:22.836944Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T15:51:22.836944Z"},"links":{"citing_paper":"/paper/2509.00077"},"observation_digest":"sha256:2cd1699f3dfd8bb6c821f0dd86518804916dcdba2efbb814a67b187bc46fbd5f","observation_id":"a50dcb59-c0e4-42d6-9a9a-c53193bdb42b","resolution":{"observed_at":"2026-08-05T15:51:22.836944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.00077","last_updated":"2025-08-26T19:08:54Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-08T00:45:21.587611Z","submitted_at":"2025-08-26T19:08:54Z","title":"Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":29},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.00077."}