{"as_of":"2026-08-09T10:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7318937fdd9c29df5837ff4fb3f15b5b3fea1f1816181c2647c6b2c95c5c8cf7","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:34:08.356059Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:34:08.356059Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-08T19:34:08.403382Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"cited_work":{"arxiv_id":"2502.05403","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.05403","snapshot_observed_at":"2026-08-08T19:34:08.403382Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","venue":"cs.LG","work_id":"dfc4c1e9-92a6-4667-a3d4-1edaecfa4581","year":2025},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.356059Z"},"links":{"cited_paper":"/paper/2502.05403","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:1ce943a9743d8029dc427c2c35dcf1649e2ed296fba7f4a9d5170385b23e4fb4","observation_id":"b6f1be76-8a74-4f6d-b434-8cacb9cf67e9","resolution":{"observed_at":"2026-08-08T19:34:08.409651Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2502.05403/citation-record","integrity":"/paper/2502.05403/integrity","json":"/paper/2502.05403/citation-record.json","paper":"/paper/2502.05403"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4318.35743","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:34:08.812492Z","title":"Evaluating Impact of Social Me- dia Posts by Executives on Stock Prices","venue":null,"work_id":"ee27cc5a-2745-4c40-8436-3dbae5ea403f","year":2023},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.254734Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:173d7ec5c49d684306aad4a83e6197e06b628f162b69d0035ded4c04d98c7a0f","observation_id":"9995076b-6fae-4308-89be-9c58861b5501","resolution":{"observed_at":"2026-08-08T19:34:08.817719Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-08T19:34:08.258747Z","title":"FinReport: Explainable Stock Earnings Fore- casting via News Factor Analyzing Model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.258747Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:719275562858d92ff72db8f3a9a06b5bdc31ef0993f1a2a38c5a5e8780842b8c","observation_id":"11ef1c8e-b0aa-4456-aa04-88a98381234b","resolution":{"observed_at":"2026-08-08T19:34:08.258747Z","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":"2026-08-08T19:34:08.919985Z","title":"Constructing Financial Sentimental F actors in Chinese Market Using Natural Language Pro- cessing","venue":null,"work_id":"0a2f5877-b61c-4fe2-9127-0b02f1e901c2","year":2018},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.262608Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:7981109842c2a1c8cd8763c486614d30a9045a52500fe8052fc69481d4f7191b","observation_id":"53333e2a-e303-4159-848f-f29a7ef216a7","resolution":{"observed_at":"2026-08-08T19:34:08.923594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-08T19:34:08.270447Z","title":null,"venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.270447Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:d3b5fc628a340549aa63b00703cb02f9eff429b18cee6d86c926ffdc9ad1d447","observation_id":"656386b5-057c-4e38-90da-2129a8f40db9","resolution":{"observed_at":"2026-08-08T19:34:08.270447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1010.3003","last_updated":"2010-10-14T18:55:52Z","snapshot_observed_at":"2026-08-09T10:47:33.916792Z","submitted_at":"2010-10-14T18:55:52Z","title":"Twitter mood predicts the stock market","version":1},"cited_work":{"arxiv_id":"1010.3003","doi":null,"metadata_source":"pith","pith_arxiv_id":"1010.3003","snapshot_observed_at":"2026-08-08T19:34:08.680205Z","title":"Twitter mood predicts the stock market","venue":"cs.CE","work_id":"6b9687a9-855d-4f93-aa90-3d15a22baf6d","year":2010},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.274329Z"},"links":{"cited_paper":"/paper/1010.3003","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:4085eb1af336078ab73ece8b131db277869ba1d33d2f68e8f695f51746eda042","observation_id":"a636fd98-2c70-4b3e-9323-93cc988993dd","resolution":{"observed_at":"2026-08-08T19:34:08.683962Z","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":"1610.09225","last_updated":"2016-10-28T14:07:43Z","snapshot_observed_at":"2026-07-06T05:16:31.333681Z","submitted_at":"2016-10-28T14:07:43Z","title":"Sentiment Analysis of Twitter Data for Predicting Stock Market Movements","version":1},"cited_work":{"arxiv_id":"1610.09225","doi":null,"metadata_source":"pith","pith_arxiv_id":"1610.09225","snapshot_observed_at":"2026-08-08T19:34:08.666586Z","title":"Sentiment Analysis of Twitter Data for Predicting Stock Market Movements","venue":"cs.IR","work_id":"5081ce05-965e-4fdb-9ed2-c84d1186b4c8","year":2016},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.278388Z"},"links":{"cited_paper":"/paper/1610.09225","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:8417aad5edaead8aaf7af2559c6bdb17d011aaeebdc850bf62833bb880279790","observation_id":"d706062a-fe41-423f-ac04-b564a2af5539","resolution":{"observed_at":"2026-08-08T19:34:08.670358Z","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":"2026-08-08T19:34:08.909381Z","title":"Stock movemen t prediction from tweets and historical prices","venue":null,"work_id":"20b584c7-64b8-454b-bb11-207c81c91dbe","year":2018},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.282449Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:2259ef702b14942182508da97f7a6836493217957e31743541b65f3727320092","observation_id":"9c08152d-7860-45ca-a50e-4c8e7c80bfc1","resolution":{"observed_at":"2026-08-08T19:34:08.913231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-08T19:34:08.898832Z","title":null,"venue":null,"work_id":"46ddb694-1bb5-4af9-91b8-f9f00f10b3f1","year":2020},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.289724Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:50b621e2fb76d640889a006640f2e8c44d7168bbad01d194b379818ba81f8d3c","observation_id":"186a0503-ab7d-4e72-abaf-031c30ca5a48","resolution":{"observed_at":"2026-08-08T19:34:08.902527Z","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":"2311.07816","last_updated":"2023-11-14T00:25:09Z","snapshot_observed_at":"2026-07-06T16:47:04.774532Z","submitted_at":"2023-11-14T00:25:09Z","title":"Leveraging Large Language Models to Detect Influence Campaigns in Social Media","version":1},"cited_work":{"arxiv_id":"2311.07816","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.07816","snapshot_observed_at":"2026-08-08T19:34:08.640183Z","title":"Leveraging Large Language Models to Detect Influence Campaigns in Social Media","venue":"cs.SI","work_id":"e63f1866-3076-415f-b36e-03887ddc6c76","year":2023},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.293467Z"},"links":{"cited_paper":"/paper/2311.07816","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:30a20d3153838571d51db5e2ae7c11a2a4a7a101463f104c6979210472e4faf4","observation_id":"28a1cead-7398-415e-aec0-5a7075802a96","resolution":{"observed_at":"2026-08-08T19:34:08.643923Z","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":"2026-08-08T19:34:08.888961Z","title":"Predicting the Ef fects of News Sentiments on the Stock Market","venue":null,"work_id":"6e796ffb-7dbc-4165-8655-2cce9b2d2eda","year":2018},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.297534Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:66caefaab433642d29209b99639f097ee1ddd4fe675a7501655f803cd5717cb3","observation_id":"ce901843-5d4a-4b28-a693-0a9c38eb04dc","resolution":{"observed_at":"2026-08-08T19:34:08.892514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2404.02053","last_updated":"2024-04-04T08:05:37Z","snapshot_observed_at":"2026-08-02T14:05:54.441677Z","submitted_at":"2024-04-02T15:50:10Z","title":"BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights","version":2},"cited_work":{"arxiv_id":"2404.02053","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.02053","snapshot_observed_at":"2026-08-08T19:34:08.546640Z","title":"BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights","venue":"cs.CL","work_id":"37f6680b-e64a-4759-ac1a-9ea89c7496d2","year":2024},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.304542Z"},"links":{"cited_paper":"/paper/2404.02053","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:3f46d5d364c3f865cb3f86a4cd051e560475d00eac3633ac7bdd928e0ec640ea","observation_id":"c02636f9-e721-4d7a-b891-6ae61b3e9af0","resolution":{"observed_at":"2026-08-08T19:34:08.550425Z","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":"2026-08-08T19:34:08.878504Z","title":"Constructing Trading Str ategy Ensembles by Classifying Market States","venue":null,"work_id":"bdaa4df1-ef77-42fd-83d1-9968698ddeb9","year":2020},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.308524Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:6d75db850670c095c34ca879d7b8af0f38f3ce60c64567bcc381cfcef0e4bcdf","observation_id":"c459ce00-f56e-4fcc-9d1b-2421e4eb864d","resolution":{"observed_at":"2026-08-08T19:34:08.882205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-08T19:34:08.867655Z","title":"Taureau: A Stock Market Movement Infer ence Framework Based on Twitter Sentiment Analysis","venue":null,"work_id":"fbe194e3-b84d-418d-90a2-4fc206bbb44c","year":2023},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.315566Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:79e80ad76428bce311aeec62777050cecf6c97e2b7decf4ef464c17deb3ff72f","observation_id":"4fd90aaf-d43b-438d-8637-8bba7566f0c8","resolution":{"observed_at":"2026-08-08T19:34:08.871398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2312.03758","last_updated":"2023-12-04T22:27:43Z","snapshot_observed_at":"2026-08-09T07:46:28.081370Z","submitted_at":"2023-12-04T22:27:43Z","title":"Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices","version":1},"cited_work":{"arxiv_id":"2312.03758","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.03758","snapshot_observed_at":"2026-08-08T19:34:08.518007Z","title":"Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices","venue":"cs.AI","work_id":"4f79a1e0-c287-4d67-807a-e6fdd1fa6961","year":2023},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.323113Z"},"links":{"cited_paper":"/paper/2312.03758","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:068adc664a648947f84baad1642b55c4b060d60171518b914537c2b87c53cce5","observation_id":"8d6e2fb5-6ab3-464c-8424-b46e704a9b70","resolution":{"observed_at":"2026-08-08T19:34:08.522006Z","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":"2016.79556","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:34:08.502096Z","title":"Sentim ent Analysis of Twitter Data for Pre- dicting Stock Market Movements","venue":null,"work_id":"6fa9cde4-890d-4f0e-9c5e-fc9e016e13f8","year":2016},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.326707Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:69d813514992d8eaef8f903d97c8adaf48c70afc2a10467b2192dca5c3203205","observation_id":"0e6ea8a8-fa37-4427-8808-d2dd0d5c9f75","resolution":{"observed_at":"2026-08-08T19:34:08.507832Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2206.06606","last_updated":"2022-06-14T05:55:23Z","snapshot_observed_at":"2026-07-06T13:20:29.949578Z","submitted_at":"2022-06-14T05:55:23Z","title":"Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model","version":1},"cited_work":{"arxiv_id":"2206.06606","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.06606","snapshot_observed_at":"2026-08-08T19:34:08.435492Z","title":"Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model","venue":"cs.CL","work_id":"d2ff1ddd-c7ca-4ca5-a5a4-25a26d68b0c2","year":2022},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.330168Z"},"links":{"cited_paper":"/paper/2206.06606","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:2882593757af0a96210a5abec631f8bfd3a2ad9fa30caf86524f1e79b8fd0d99","observation_id":"65ed5af1-7eda-485b-9e66-dfad55f1f465","resolution":{"observed_at":"2026-08-08T19:34:08.439428Z","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":"2026-08-08T19:34:08.856261Z","title":"Papers with Code, 2024","venue":null,"work_id":"cd38552b-8ca5-4efc-b812-2779f609a36a","year":2024},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.333748Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:1acfc2653ab6ebbf5d6bc66b9d50705f41bb7195a88586bc128d8c383dd9ce58","observation_id":"b64d7999-2a13-40b7-b630-14de1ac30f6c","resolution":{"observed_at":"2026-08-08T19:34:08.860376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2105.01402","last_updated":"2021-05-04T10:27:37Z","snapshot_observed_at":"2026-08-08T07:49:11.863435Z","submitted_at":"2021-05-04T10:27:37Z","title":"Using Twitter Attribute Information to Predict Stock Prices","version":1},"cited_work":{"arxiv_id":"2105.01402","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.01402","snapshot_observed_at":"2026-08-08T19:34:08.421161Z","title":"Using Twitter Attribute Information to Predict Stock Prices","venue":"cs.LG","work_id":"1cbe258d-7f19-4c44-928e-2cb0811db430","year":2021},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.337310Z"},"links":{"cited_paper":"/paper/2105.01402","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:e1c6a0c64941d69c934d4b9083837c3e318b8d2b4bbb7e88a8a994581294cb67","observation_id":"c215e53f-e65e-493f-85a3-aa335681cad7","resolution":{"observed_at":"2026-08-08T19:34:08.425109Z","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":"2104.12250","last_updated":"2022-05-11T08:06:39Z","snapshot_observed_at":"2026-07-06T11:03:29.377343Z","submitted_at":"2021-04-25T20:28:53Z","title":"XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.12250","snapshot_observed_at":"2026-08-08T19:34:08.340981Z","title":"XLM-T: Multilingual Language Mod- els in Twitter for Sentiment Analysis and Beyond","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.340981Z"},"links":{"cited_paper":"/paper/2104.12250","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:8afa5757e5710a7d09a5156fc561445bb89963f24e6a344d1df023e08d4e089a","observation_id":"ad571c5c-a7c6-4460-acbb-3de89645ba92","resolution":{"observed_at":"2026-08-08T19:34:08.340981Z","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":"2026-08-08T19:34:08.845984Z","title":"A subreddit focused on stock market di scussions, particularly related to high-risk retail investing and market sentiment","venue":null,"work_id":"9108466f-72b0-43e5-9e2d-feb94ee7baa8","year":null},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.344888Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:e3a850d3d12a15a0398880355928f9759e2989d8892d75fe708320b477f740e0","observation_id":"9f187df7-8522-4c95-b070-8862a031bfd9","resolution":{"observed_at":"2026-08-08T19:34:08.849793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-08T19:34:08.836035Z","title":"A subreddit dedi cated to discussions on stock market investing and trading strategies","venue":null,"work_id":"2ca85594-8565-49d6-ba3b-5e498ba1454d","year":null},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.348630Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:a60767d0bc832a510d37a0cc8643a3b7ab011243fdd03349f2263f31a51a3fd2","observation_id":"1a96ea82-7403-4f6b-8d45-21e530923cf0","resolution":{"observed_at":"2026-08-08T19:34:08.839636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-08T19:34:08.825730Z","title":"A platform providing comprehensive insig hts into stock market data and earnings reports","venue":null,"work_id":"bdfcbae8-567a-4b3a-a27b-af336a958301","year":null},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.352369Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:191e8cc46eca21372e347d8314bc0343bb5046fb54966f5d183700e7f4ca0763","observation_id":"a955ee09-6f08-4368-bf89-a78903bc4bd2","resolution":{"observed_at":"2026-08-08T19:34:08.829368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"cited_work":{"arxiv_id":"2502.05403","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.05403","snapshot_observed_at":"2026-08-08T19:34:08.403382Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","venue":"cs.LG","work_id":"dfc4c1e9-92a6-4667-a3d4-1edaecfa4581","year":2025},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.356059Z"},"links":{"cited_paper":"/paper/2502.05403","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:1ce943a9743d8029dc427c2c35dcf1649e2ed296fba7f4a9d5170385b23e4fb4","observation_id":"b6f1be76-8a74-4f6d-b434-8cacb9cf67e9","resolution":{"observed_at":"2026-08-08T19:34:08.409651Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"1809.08390","last_updated":"2018-09-22T06:35:07Z","snapshot_observed_at":"2026-07-06T07:03:40.660582Z","submitted_at":"2018-09-22T06:35:07Z","title":"Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing","version":1},"cited_work":{"arxiv_id":"1809.08390","doi":null,"metadata_source":"pith","pith_arxiv_id":"1809.08390","snapshot_observed_at":"2026-08-08T19:34:08.693666Z","title":"Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing","venue":"q-fin.CP","work_id":"8f9e1fbc-d48e-4690-b288-39aee8af50ba","year":2018},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.266153Z"},"links":{"cited_paper":"/paper/1809.08390","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:b431876c1e9693771eff5c37d0fd69df38406ec1671fc198cad311e818a2db2c","observation_id":"983fddf6-9c03-4c97-8325-911a663ba3f8","resolution":{"observed_at":"2026-08-08T19:34:08.697628Z","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":"2012.03078","last_updated":"2020-12-05T17:02:09Z","snapshot_observed_at":"2026-08-09T09:24:38.685712Z","submitted_at":"2020-12-05T17:02:09Z","title":"Constructing trading strategy ensembles by classifying market states","version":1},"cited_work":{"arxiv_id":"2012.03078","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.03078","snapshot_observed_at":"2026-08-08T19:34:08.653514Z","title":"Constructing trading strategy ensembles by classifying market states","venue":"q-fin.TR","work_id":"a4e1e92c-d413-464c-a4ba-84dea54d6618","year":2020},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.312014Z"},"links":{"cited_paper":"/paper/2012.03078","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:5eba4f8b4fb7b9dc3b0281b0e12c3132c3db40698a8b8fa16266c4e57199910f","observation_id":"08422b79-d86a-4b5c-b5eb-25d5ed4f742c","resolution":{"observed_at":"2026-08-08T19:34:08.657080Z","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":"2303.17667","last_updated":"2023-03-30T19:12:08Z","snapshot_observed_at":"2026-07-06T15:10:15.773528Z","submitted_at":"2023-03-30T19:12:08Z","title":"Taureau: A Stock Market Movement Inference Framework Based on Twitter Sentiment Analysis","version":1},"cited_work":{"arxiv_id":"2303.17667","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17667","snapshot_observed_at":"2026-08-08T19:34:08.532489Z","title":"Taureau: A Stock Market Movement Inference Framework Based on Twitter Sentiment Analysis","venue":"cs.CY","work_id":"07eb00ee-014c-4711-9f2d-6e1618ebf939","year":2023},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.319065Z"},"links":{"cited_paper":"/paper/2303.17667","citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:1e5447de2c55a7d90ffe16df0a496531b23b3e67be405aee39ed4da581c23207","observation_id":"73958dfe-630f-46ad-8444-5f8e8109413c","resolution":{"observed_at":"2026-08-08T19:34:08.536688Z","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":"2018.86218","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:34:08.623951Z","title":"https://doi.org/10.1109/BigData.2018.8621884","venue":null,"work_id":"4197ccb2-ff9c-48e0-aacb-e1f71ee3bc58","year":2018},"citing_paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums","version":1},"reference_index":4710,"source":"pdf_text","source_observed_at":"2026-08-08T19:34:08.301108Z"},"links":{"citing_paper":"/paper/2502.05403"},"observation_digest":"sha256:ac3055dd81a9bbc7699b40c7de09c5bf934226bb30e937ac8fb42b8f900e3744","observation_id":"16690058-0a70-44f6-aa5c-d342a6b5c148","resolution":{"observed_at":"2026-08-08T19:34:08.630484Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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"}}],"paper":{"arxiv_id":"2502.05403","last_updated":"2025-02-08T01:48:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T19:28:01.357254Z","submitted_at":"2025-02-08T01:48:10Z","title":"Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":4,"verified_exact":10,"verified_fuzzy":9},"total_outbound_references":27},"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 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.05403."}