{"as_of":"2026-08-10T23:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a896fd109a3bfe36ca0bc5da040adc9ca4419a8f5d9f0cd8520d68c9fa5f1e59","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T13:47:52.944050Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-08-07T11:30:30.405523Z","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":"2026-07-02T16:37:09.392713Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.16100","snapshot_observed_at":"2026-08-07T11:30:30.405523Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02351","last_updated":"2025-06-03T01:10:20Z","snapshot_observed_at":"2026-08-08T15:45:01.151036Z","submitted_at":"2025-06-03T01:10:20Z","title":"DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:30:30.405523Z"},"links":{"cited_paper":"/paper/2501.16100","citing_paper":"/paper/2506.02351"},"observation_digest":"sha256:eaeb52313a1ac5b3b804a023577afd4284200aaabbd9bfd881fe836162177233","observation_id":"1f098187-e139-48af-8adc-bc609e66c29f","resolution":{"observed_at":"2026-08-07T11:30:30.405523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"cited_work":{"arxiv_id":"2501.16100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.16100","snapshot_observed_at":"2026-07-02T16:37:09.392713Z","title":null,"venue":null,"work_id":"540b3294-11fd-4e94-be33-7c90dabe67af","year":2025},"citing_paper":{"arxiv_id":"2606.06926","last_updated":"2026-06-17T14:48:14Z","snapshot_observed_at":"2026-08-08T04:57:24.056813Z","submitted_at":"2026-06-05T05:42:19Z","title":"SVHighlights: Towards Extremely Long Sport Video Highlight Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T22:30:49.205383Z"},"links":{"cited_paper":"/paper/2501.16100","citing_paper":"/paper/2606.06926"},"observation_digest":"sha256:af8a452406b4b149819d26efa15358839bd20bde6cc89dee6a0dd99dbf31025b","observation_id":"4161c97b-6223-4921-a5c5-5d9080f03b17","resolution":{"observed_at":"2026-07-02T16:37:09.394006Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2501.16100/citation-record","integrity":"/paper/2501.16100/integrity","json":"/paper/2501.16100/citation-record.json","paper":"/paper/2501.16100"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T13:47:53.277073Z","title":"Structure analysis of soccer video with domain knowledge and hidden markov models,","venue":null,"work_id":"6538f38e-c93e-44af-ad3c-2b001472226d","year":2004},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.847201Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:9e1428209f0f5be0ede4d8b721b804a1423b9897994b2e921831194ba6e226a4","observation_id":"b9eb9a3f-88f0-4ea4-a2ad-6ada0a87243a","resolution":{"observed_at":"2026-08-10T13:47:53.281864Z","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":"2026-08-10T13:47:53.263842Z","title":"Automatically extracting highlights for tv baseball programs,","venue":null,"work_id":"5ab1f133-8d96-40b4-aaae-155a0061433c","year":2000},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.857336Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:8c825bfd1f8b65d172bd411d7702cfc38670cafcfafba5ab0cf3cff2e0041a9e","observation_id":"b090abae-8bf5-4cc7-9218-2659886caf26","resolution":{"observed_at":"2026-08-10T13:47:53.268335Z","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":"2026-08-10T13:47:53.248555Z","title":"Traditional handcrafted feature detection methods in video analysis,","venue":null,"work_id":"679a10a3-969c-4984-8c01-065838a2a0b2","year":2000},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.861819Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:27c5c595563005c3ccbc44cc2f63ce01e27cf2cea515dca5ad2c6416df420348","observation_id":"11af83f1-fd2e-4d60-a8a4-324aec2070b9","resolution":{"observed_at":"2026-08-10T13:47:53.252974Z","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":"2026-08-10T13:47:53.237221Z","title":"Learning spatiotemporal features with 3d convolutional networks,","venue":null,"work_id":"97d44de7-d45e-4af8-941d-698944d6ebb3","year":2015},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.866117Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:93d1637178bad05c06112140a3ea620d6a5e5e66d4625e169e6fdaa048619880","observation_id":"856d7be2-09c7-4f2b-b2a1-4dcc137af12c","resolution":{"observed_at":"2026-08-10T13:47:53.240799Z","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":"10.1142/s1793351x2140002x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T13:47:52.988810Z","title":"Using 3d convolutional neural networks for real- time detection of soccer events,","venue":null,"work_id":"465513da-0c93-487f-8f7e-45cc095a110a","year":2021},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.871513Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:dfc5e82ab1323f619b87588c956e7c57ebd32011e836b2ae8be4cff475326781","observation_id":"b8cbf1f1-e0e1-4cf7-a288-67e5ff5c8841","resolution":{"observed_at":"2026-08-10T13:47:52.996767Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T13:47:53.226593Z","title":"Video classification with channel-separated convolutional networks,","venue":null,"work_id":"9bd63aa9-21c1-42af-a60e-6875dc0256a7","year":2020},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.877042Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:6a7b684eda3aa6350e6930a34a81e2a471d68bde823122c73db6ce406b2f0c2f","observation_id":"8a2350cc-9d04-4600-82ba-11cb80d05999","resolution":{"observed_at":"2026-08-10T13:47:53.230032Z","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":{"arxiv_id":"2011.04258","last_updated":"2020-11-09T09:12:44Z","snapshot_observed_at":"2026-07-06T10:12:47.790766Z","submitted_at":"2020-11-09T09:12:44Z","title":"Improved Soccer Action Spotting using both Audio and Video Streams","version":1},"cited_work":{"arxiv_id":"2011.04258","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.04258","snapshot_observed_at":"2026-08-10T13:47:53.015553Z","title":"Improved Soccer Action Spotting using both Audio and Video Streams","venue":"cs.CV","work_id":"aa657709-638c-4d2f-8d7b-ae5edad4754b","year":2020},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.882521Z"},"links":{"cited_paper":"/paper/2011.04258","citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:ca724d99adf2063673b5902c8edc997e4e35e28f063018c954cf3e183c741973","observation_id":"88ff58d5-f6c9-4ea4-b60b-0c19591a066b","resolution":{"observed_at":"2026-08-10T13:47:53.020583Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T13:47:53.214625Z","title":"Deep content- based music recommendation,","venue":null,"work_id":"3c5502cc-3f09-4fae-a413-53aaf61c6de3","year":null},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.887021Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:c5f896bd3c52e738d2d07c3e9d87b751972e797da3c45d1b12003ac6aa79bb96","observation_id":"b834bb76-92ba-4fd3-9a76-bd25d8f4d0a3","resolution":{"observed_at":"2026-08-10T13:47:53.218558Z","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":"2026-08-10T13:47:53.184751Z","title":"Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers,","venue":null,"work_id":"e096a20e-6ab4-492e-8317-98d24bdff82f","year":2020},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.896022Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:6935894101e9e613dda085570a992c7ae578e954b4fa25bff7188f2e38649e39","observation_id":"680d6894-8459-4c7e-bc6d-96358d4835ae","resolution":{"observed_at":"2026-08-10T13:47:53.190870Z","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":"2026-08-10T13:47:53.169642Z","title":"On the effect of log-mel spectrogram parameter tuning for deep learning-based speech emotion recognition,","venue":null,"work_id":"10de18cd-c45c-4e7a-9b56-056e5e865494","year":2023},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.899970Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:6315cc2d1714468298d3a73405d64ceea2f6489b0d45a2dba55402d92a95caf5","observation_id":"d2343867-7a21-4942-9857-d0b526c0330f","resolution":{"observed_at":"2026-08-10T13:47:53.175211Z","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":"2026-08-10T13:47:53.155491Z","title":"Heart sound classification using deep learning techniques based on log-mel spectrogram,","venue":null,"work_id":"f274439b-ec00-4910-ac16-7cad566def2d","year":2023},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.903803Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:47d7215bd52121422116e261c7099af21ba6a3288fd24fe7b7e73511bbaefff0","observation_id":"6db5ba8f-a818-45e0-bd55-cdedd1286954","resolution":{"observed_at":"2026-08-10T13:47:53.160740Z","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":"2026-08-10T13:47:53.140691Z","title":"A survey on deep reinforcement learning for audio-based applications,","venue":null,"work_id":"891ceabc-569e-4456-a612-12e6830b29d0","year":2023},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.909282Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:ca8e325e3821fe7eee257712a67aaf44f318d7a07a2026c34b2a2a0f2e097174","observation_id":"b46b2d4c-2b97-4bbd-a6d1-99ab2b0b2fc4","resolution":{"observed_at":"2026-08-10T13:47:53.145413Z","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":"2026-08-10T13:47:53.127226Z","title":"The relation of pitch to frequency: A revised scale,","venue":null,"work_id":"45521d6c-3cf8-4fbf-b5aa-078923132a7f","year":1940},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.913893Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:113507e5e33158b84eb5e7304f6b0d251a3aa3aa4148c2aa6bf77ce52e1813ca","observation_id":"5def448a-fbe0-466d-9e55-880ebf48b76b","resolution":{"observed_at":"2026-08-10T13:47:53.131914Z","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":"2026-08-10T13:47:53.111982Z","title":"Goodfellow, Y","venue":null,"work_id":"fc0c71e5-5f87-48b2-8a84-1d3564c65d82","year":null},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.918167Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:24beb7310ce03e54b864d9703fb00e66096bc5431d0a59783fcc32fa34388f0a","observation_id":"09112706-3d63-4b40-af41-c4c4f095c165","resolution":{"observed_at":"2026-08-10T13:47:53.117270Z","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":"2026-08-10T13:47:53.095215Z","title":"3d convolutional neural networks for human action recognition,","venue":null,"work_id":"d3da0248-afe9-4437-b6ae-787b6f134e71","year":2013},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.923389Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:62b7a416c45fb4e3d3203fb254c7b31cf5037256135342e8c3720a2897533839","observation_id":"c6b8ef2f-8dd6-49c7-a6a6-de6da8980661","resolution":{"observed_at":"2026-08-10T13:47:53.101743Z","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":"2026-08-10T13:47:53.079737Z","title":"Learning spatiotemporal features with 3d convolutional networks,","venue":null,"work_id":"91b35818-e5a7-4653-9542-c1e861ea90b4","year":2015},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.929433Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:24091335022bb88799a92e0f70d13dd426e3f93938479465985c0c5c1618a8cc","observation_id":"23a8363a-954e-4b91-afc6-04546196e1ac","resolution":{"observed_at":"2026-08-10T13:47:53.085498Z","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":"2026-08-10T13:47:53.063268Z","title":"A survey on deep transfer learning,","venue":null,"work_id":"d6674799-0655-4bec-825c-c08bd5936f94","year":2018},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.934312Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:22fb26e5828d3d3e43ba86713bdd62acd2e982570499a2c5b0727fedcede6d30","observation_id":"9cb2e7a1-f140-458e-9c61-983158ad07b9","resolution":{"observed_at":"2026-08-10T13:47:53.068903Z","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":"2026-08-10T13:47:53.048665Z","title":"Soccernet: A scalable dataset for action spotting in soccer videos,","venue":null,"work_id":"2c1cd719-a7de-41da-8d22-6be6766c0926","year":2018},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.938423Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:3c0f92d7dae63dbe70a6d5080af3abf8f3d471fa35365daf868c3b30d16ab820","observation_id":"0fac4818-f30f-41b5-b662-75eb477e1f05","resolution":{"observed_at":"2026-08-10T13:47:53.053759Z","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":"2026-08-10T13:47:53.029528Z","title":"SocerNet,","venue":null,"work_id":"5d0ee76e-b0fb-492e-887a-e71ca2855c0a","year":2025},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.944050Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:3658cad3263c4ad848646ab828e003c9e37c77c1ee3df32686a6c8f80fa34e89","observation_id":"5b310a61-f937-4fc6-8f63-179765ed7a45","resolution":{"observed_at":"2026-08-10T13:47:53.033686Z","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":"2026-08-10T13:47:53.202311Z","title":"Available: https://proceedings.neurips.cc/paper files/ paper/2013/file/b3ba8f1bee1238a2f37603d90b58898d-Paper.pdf","venue":null,"work_id":"54e6fe27-6a2d-4c2f-a327-3d8fb1ce02b0","year":2013},"citing_paper":{"arxiv_id":"2501.16100","last_updated":"2025-01-31T09:03:03Z","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-10T13:47:52.890954Z"},"links":{"citing_paper":"/paper/2501.16100"},"observation_digest":"sha256:301f197d468a390192b94298d5051f0e1d0d192b25238bc1d5f1cc3543171eb9","observation_id":"4a215f15-152e-4acd-abdd-cb8496f6f864","resolution":{"observed_at":"2026-08-10T13:47:53.207333Z","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":"2501.16100","last_updated":"2025-01-31T09:03:03Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T13:41:55.482131Z","submitted_at":"2025-01-27T14:50:13Z","title":"Automated Detection of Sport Highlights from Audio and Video Sources"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":18},"total_outbound_references":20},"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 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2501.16100."}