{"as_of":"2026-08-12T16:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40902284e22a1e7ef7e0a0c1b2c954f2f50259f1efae5c0aaf7a1b50813acd9d","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T07:40:29.690812Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2608.02424/citation-record","integrity":"/paper/2608.02424/integrity","json":"/paper/2608.02424/citation-record.json","paper":"/paper/2608.02424"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T07:40:24.482129Z","title":"Does Algorithmic Trading Improve Liquidity?","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.482129Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:3349ae3eea0d1f2e508ab5c01924cd28ab12075cbb239e38a25cbc39165c47f4","observation_id":"1de98077-7583-4639-99db-0132901f3604","resolution":{"observed_at":"2026-08-04T07:40:24.482129Z","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":"2026-08-04T07:40:24.522732Z","title":"High Frequency Trading,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.522732Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:942f95db4ada4446cd4f36da605e80df7bbc1726c3deddf0ff22a8a52c99319c","observation_id":"da1dc858-a677-4a13-b705-4595e356ee68","resolution":{"observed_at":"2026-08-04T07:40:24.522732Z","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":"2026-08-04T07:40:24.612070Z","title":"High-Frequency Trading and Market Performance,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.612070Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:bc1ede3c244ec748499efa9eacc4cf3b187053a8d63c11558138056c0cd2bfe7","observation_id":"dbdfa681-e468-4cfe-9b0f-70156db6b631","resolution":{"observed_at":"2026-08-04T07:40:24.612070Z","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":"2026-08-04T07:40:24.706693Z","title":"Machine Learning for Market Mi- crostructure and High Frequency Trading,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.706693Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:c0827e25651e6ad926089831efb47a87d94dfcc57c215e2f59d4f83a578b4bd7","observation_id":"3a4c4363-04fb-4b36-b372-86ef8aec1c71","resolution":{"observed_at":"2026-08-04T07:40:24.706693Z","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":"2026-08-04T07:40:24.761856Z","title":"Automated Trading Systems Statistical and Machine Learning Methods and Hardware Implementation: A Survey,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.761856Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:22732e8dc2558db25d3f20c3a15260089bc53da1d86acd861e49f67905f511d5","observation_id":"6359c889-45e1-4618-bb1f-ca7220f97fac","resolution":{"observed_at":"2026-08-04T07:40:24.761856Z","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":"2026-08-04T07:40:24.867117Z","title":"One Day, the Stock Market Could Eat the Power Grid,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.867117Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:bdf05227df706ac9523a41f79b41d7cc4232cc31011a8430394684bb8afcee4a","observation_id":"555c7099-85cb-489d-9ea7-75f58a00b3ab","resolution":{"observed_at":"2026-08-04T07:40:24.867117Z","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":"2026-08-04T07:40:24.930268Z","title":"The Case for In-network Computing on Demand,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:24.930268Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:73b83244c1049a9d3c9ffb7ff62fda35fb6057b43944dfb6f036fa4d2c53e1c0","observation_id":"0fa10eb6-adc2-441a-acdb-b9d1a2435ce4","resolution":{"observed_at":"2026-08-04T07:40:24.930268Z","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":"2026-08-04T07:40:25.069084Z","title":"Can the Network be the AI Accelerator?","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.069084Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:d631ca2524f16efb5e87ea75ff4dfc00e8019415349c2ce018e61d41510b04e1","observation_id":"66efb4a6-bcf7-4cc3-8cd7-1ead0fc44d04","resolution":{"observed_at":"2026-08-04T07:40:25.069084Z","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":"2026-08-04T07:40:25.141583Z","title":"Do Switches Dream of Machine Learning? Toward In-Network Classification,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.141583Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:3e54b56121044db5fab402110e817adc503ee79ee6ac697b3cf41e51eb6f96e9","observation_id":"d421b9c7-8603-46af-a029-56b15514061f","resolution":{"observed_at":"2026-08-04T07:40:25.141583Z","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":"2026-08-04T07:40:25.214535Z","title":"Modelling High-Frequency Limit Order Book Dynamics with Support Vector Machines,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.214535Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:379baf0d0186edbe2b571b478d0f90319237e09b803388420f70fc3622b3b77b","observation_id":"8c81a49f-dd2b-4dc9-924f-a7c185fce8d4","resolution":{"observed_at":"2026-08-04T07:40:25.214535Z","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":"2026-08-04T07:40:25.300802Z","title":"Benchmark Dataset for Mid Price Forecasting of Limit Order Book Data with Machine Learning Methods,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.300802Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:42ee055730b466bc5bc5ec5587bd09806410a4a2a0c733aeaa414204d54758fc","observation_id":"ebd6de72-0f76-465c-b657-9a70f23b9d2f","resolution":{"observed_at":"2026-08-04T07:40:25.300802Z","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":"2026-08-04T07:40:25.403131Z","title":"DeepLOB: Deep Convolutional Neural Networks for Limit Order Books,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.403131Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:c8e7283c99f4d7192e64c1ba8db442b7d7ac235d5eb4bc1800bfd40a837632a0","observation_id":"e31b3332-ff1f-472b-874f-8eb0f2de8d00","resolution":{"observed_at":"2026-08-04T07:40:25.403131Z","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":"2026-08-04T07:40:25.476280Z","title":"Using Deep Learning for Price Prediction by Ex- ploiting Stationary Limit Order Book Features,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.476280Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:4825a3dda817d97d4c85cedf3f64f47e75d3104506e4d41f242104d4109aab6b","observation_id":"8464d225-b85e-4566-b70d-7007e3ce588d","resolution":{"observed_at":"2026-08-04T07:40:25.476280Z","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":"2026-08-04T07:40:25.550271Z","title":"Who Benefits from an Open Limit-Order Book?","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.550271Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:18f6b4726260fabddda68096e44d80dde031d6920bd914ac1afdc7dc4806ebaf","observation_id":"3d658ad4-6b8a-4235-a01f-b3d7246d6d24","resolution":{"observed_at":"2026-08-04T07:40:25.550271Z","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":"2026-08-04T07:40:25.614649Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.614649Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:cebf71094554dcf1a15c700ad0df8e308bf138d9baf115ba02a92e73b553702f","observation_id":"4f204feb-91f7-45a3-bf6a-3dfe6ca85cd5","resolution":{"observed_at":"2026-08-04T07:40:25.614649Z","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":"2026-08-04T07:40:25.701198Z","title":"The Reference P4 Software Switch,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.701198Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:69a5fc18400b34e218b82412a4f07d77d8716d18bb41362324c355384f943528","observation_id":"f724a931-32e0-4663-b3a9-76d2ff14d25f","resolution":{"observed_at":"2026-08-04T07:40:25.701198Z","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":"2026-08-04T07:40:25.798271Z","title":"Time Series Forecasting for Nonlinear and Non- stationary Processes: A Review and Comparative Study,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.798271Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:fcbacef793c4ec38d163edb1b4167021d805b31f74275132023f4d5214448993","observation_id":"739085cf-c363-460c-9ed3-2cd13c2c07a3","resolution":{"observed_at":"2026-08-04T07:40:25.798271Z","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":"2026-08-04T07:40:25.926530Z","title":"A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.926530Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:c7ddf25474fd8dec71b082bf8bcae6ee7a8fe95dc1a5a96352023a441aa653b1","observation_id":"60284a9b-e765-48c9-95a0-f024170ca9a2","resolution":{"observed_at":"2026-08-04T07:40:25.926530Z","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":"2026-08-04T07:40:25.998786Z","title":"Evaluating Multiple Classifiers for Stock Price Direction Prediction,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:25.998786Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:18f5e7791850de9c0d42166a75a050515f5711507a6bde389108df9876302838","observation_id":"50dcb27e-9fd2-4cfe-8cc5-f41c2ac55dee","resolution":{"observed_at":"2026-08-04T07:40:25.998786Z","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":"2026-08-04T07:40:26.089881Z","title":"Predicting Stock and Stock Price Index Movement Using Trend Deterministic Data Preparation and Machine Learning Techniques,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.089881Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:6a207366979c9b06b3b3081cb3f29bc759c0307dd9fb0790977572b7dbda1e03","observation_id":"37e3d241-c2a3-47df-b317-33219377c645","resolution":{"observed_at":"2026-08-04T07:40:26.089881Z","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":"2026-08-04T07:40:26.162073Z","title":"Predicting the Direction of Stock Market Prices Using Tree-based Classifiers,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.162073Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:89752224a141283d5f4c0dc06be6a249d4394a0135099e0a31def668521d5289","observation_id":"211791b2-caa0-40c0-90ab-0c27c2caa521","resolution":{"observed_at":"2026-08-04T07:40:26.162073Z","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":"2026-08-04T07:40:26.203388Z","title":"Risk and Return in High-Frequency Trading,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.203388Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:c52229843d339751551e3297adfbb4fe6f0008bd5d5da0dba3c4a96cb670abd5","observation_id":"536a6f95-2d85-41b9-8696-5b43d0b0a7a0","resolution":{"observed_at":"2026-08-04T07:40:26.203388Z","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":"2026-08-04T07:40:26.261105Z","title":"Accelerating Recurrent Neural Networks in Ana- lytics Servers: Comparison of FPGA, CPU, GPU, and ASIC,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.261105Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:0cbc056fe38bce69d5ab207f725a35e59c63776d975ac7d182e8c2296c9b1cb2","observation_id":"67f923aa-e373-4123-89dd-c2681be6aa8b","resolution":{"observed_at":"2026-08-04T07:40:26.261105Z","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":"2026-08-04T07:40:26.314212Z","title":"FPGA Accelerated Low- Latency Market Data Feed Processing,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.314212Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:db23c0d663e5ca93b2ec9109f857f95ff1fe47b969a93f00229391db7978ad52","observation_id":"686af9c6-f1f4-410c-96b6-d1ca71e507c3","resolution":{"observed_at":"2026-08-04T07:40:26.314212Z","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":"2026-08-04T07:40:26.395245Z","title":"A Scalable Architecture for Low-Latency Market-Data Processing on FPGA,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.395245Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:ae849d810d1cd882ac75a7119c12b2393cf410f17e67c6bf3b06bf88f0a7c1cd","observation_id":"141092ca-fd1d-4137-9f45-a7bd1ce0d7e0","resolution":{"observed_at":"2026-08-04T07:40:26.395245Z","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":"2026-08-04T07:40:26.457037Z","title":"Streaming, Low-latency Communication in On-line Trading Systems,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.457037Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:e08fadb62eb2f57b6f9cfa403a44218c70feda51ae571bb8868842b4dfc9d2e1","observation_id":"3f73f6c8-c653-4c99-8be2-dca735d2afb8","resolution":{"observed_at":"2026-08-04T07:40:26.457037Z","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":"2026-08-04T07:40:26.539990Z","title":"Announcing DPU-based Ac- celeration for NSX,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.539990Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:7e260785515019c9a5ea76b5cec81436d3015953c4a00c2ec078372f83358bb0","observation_id":"caab62f9-6705-4c36-9b37-69dcbade176b","resolution":{"observed_at":"2026-08-04T07:40:26.539990Z","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":"2026-08-04T07:40:26.597012Z","title":"AMD Announces New Alveo X3 Se- ries for Electronic Trading,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.597012Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:25c1349b9f46355d92a804d8a42a89ff574fca6d9a13d78bb8e6d1a06934a893","observation_id":"17688b7a-a8d3-47e3-9ad2-b1772c1141d8","resolution":{"observed_at":"2026-08-04T07:40:26.597012Z","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":"2026-08-04T07:40:26.651217Z","title":"A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT),","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.651217Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:b51907e41b4cf539c18a74a582098b7024071176b956f6948044a9d52c964041","observation_id":"cc4fc8ae-9727-4490-9bda-346b7a667325","resolution":{"observed_at":"2026-08-04T07:40:26.651217Z","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":"2026-08-04T07:40:26.717517Z","title":"SDN Security: A Survey,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.717517Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:fd362fcd66fa8603dc7dadf5882a538b79ac57968a52442ae1a3437c1b8be092","observation_id":"ce561505-092d-4662-a900-acfccef75689","resolution":{"observed_at":"2026-08-04T07:40:26.717517Z","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":"2026-08-04T07:40:26.798950Z","title":"P4: Programming Protocol-Independent Packet Processors,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.798950Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:d53897b2de69c12ba3074fce84089e05ad8e21601fda6c09968446ead0ec763d","observation_id":"8045aae5-98e7-4a3b-8d23-db0b53ab6bea","resolution":{"observed_at":"2026-08-04T07:40:26.798950Z","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":"2026-08-04T07:40:26.853700Z","title":"McKeown,PISA: Protocol Independent Switch Architecture, 2015, P4 Workshop","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.853700Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:a8ebff33f618a61ec43cc77b0e911b470ce447dde0dacaab68256b94260fd56f","observation_id":"96b25dc4-3900-4961-a35a-9d131bc794cc","resolution":{"observed_at":"2026-08-04T07:40:26.853700Z","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":"2026-08-04T07:40:26.906887Z","title":"P4Pi: P4 on Raspberry Pi for Networking Education,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.906887Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:c56f6e555acc1565ba7d4451c6e7f8f522e226e25de868649860b94281839ad7","observation_id":"ef63a439-94e5-4218-aa3d-730261555fab","resolution":{"observed_at":"2026-08-04T07:40:26.906887Z","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":"2026-08-04T07:40:26.957001Z","title":"The P4→NetFPGA Workflow for Line-Rate Packet Processing,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:26.957001Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:aaea920bf2eb10972180a4945523004f6dec4076ab5eb4509f73389417eb1c15","observation_id":"d8837ec4-e588-4d87-99a6-8a5d6a052a64","resolution":{"observed_at":"2026-08-04T07:40:26.957001Z","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":"2026-08-04T07:40:27.017457Z","title":"NetCache: Balancing Key-Value Stores with Fast In- Network Caching,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.017457Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:0f0715b153d0c42a867726a1631e72191b80398757cbec3e75350bf0e7ef6487","observation_id":"0a87b73a-5a3d-4b71-a78f-b9706394dc6a","resolution":{"observed_at":"2026-08-04T07:40:27.017457Z","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":"2026-08-04T07:40:27.097394Z","title":"P4xos: Consensus as a Network Service,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.097394Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:136cbfdc31a764d88fe00a54de5bddd59e28ce9c56abe4b7d66a646236117696","observation_id":"8e37fda8-2490-4f8d-808f-fd9a1decbe11","resolution":{"observed_at":"2026-08-04T07:40:27.097394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.06701","last_updated":"2020-09-30T09:26:58Z","snapshot_observed_at":"2026-08-12T06:44:42.702982Z","submitted_at":"2019-02-22T15:10:21Z","title":"Scaling Distributed Machine Learning with In-Network Aggregation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.06701","snapshot_observed_at":"2026-08-04T07:40:27.149553Z","title":"Scaling Distributed Machine Learning with In-network Aggregation,","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.149553Z"},"links":{"cited_paper":"/paper/1903.06701","citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:a598c02e2fab73384ad051b109ce9a94ee23989327a32cb4d070c857760df223","observation_id":"0cb8ac89-91e4-4f34-818f-474059088715","resolution":{"observed_at":"2026-08-04T07:40:27.149553Z","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":"2026-08-04T07:40:27.221917Z","title":"ATP: In-network Aggregation for Multi-tenant Learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.221917Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:93df7fe62d42324744a80a9ef18827c342c779639536468f0d06d3a2bc83722d","observation_id":"2d827c1d-49f7-4943-90f8-e14dd02d0672","resolution":{"observed_at":"2026-08-04T07:40:27.221917Z","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":"2026-08-04T07:40:27.260967Z","title":"Planter: Rapid Prototyping of In-Network Machine Learning Inference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.260967Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:6b1297ca5ea2bd7b080121ff281af9cca81c048d5d3c871149f9491815ba1110","observation_id":"cb3bc7de-c61e-48a9-950d-28bbcc4b3676","resolution":{"observed_at":"2026-08-04T07:40:27.260967Z","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":"2026-08-04T07:40:27.347304Z","title":"SwitchTree: In-network Computing and Traffic Analyses with Random Forests,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.347304Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:309f02f3e648505b3ab3d13b3a1d7f447e3048d7b5cb5a466b82cc1902cd210b","observation_id":"3532c501-f69a-457d-9bb8-be1f7c0ec38f","resolution":{"observed_at":"2026-08-04T07:40:27.347304Z","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":"2026-08-04T07:40:27.531699Z","title":"Toward continuous threat defense: In-network traffic analysis for iot gateways,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.531699Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:0c53a34365315cf50f8cff024d894cb95b356778c41db609fd125185d0a11cd6","observation_id":"5cfc758c-2c0f-4550-8c35-c3e87bd654bc","resolution":{"observed_at":"2026-08-04T07:40:27.531699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.08824","last_updated":"2022-05-18T09:42:22Z","snapshot_observed_at":"2026-08-03T07:28:43.304917Z","submitted_at":"2022-05-18T09:42:22Z","title":"Automating In-Network Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.08824","snapshot_observed_at":"2026-08-04T07:40:27.653634Z","title":"Automating In-Network Machine Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.653634Z"},"links":{"cited_paper":"/paper/2205.08824","citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:d4fd76b10411dcb36d15f39d897efbe1062a2c869c5d5d0de314dceac6b0d6f7","observation_id":"e4a0b142-355b-4ba6-98cd-e92e6df326c0","resolution":{"observed_at":"2026-08-04T07:40:27.653634Z","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":"2026-08-04T07:40:27.785533Z","title":"Machine Learning for Microstructure Data-Driven Execution Algorithms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.785533Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:12aca09e8b5a1cf125bdc03d203b271f4033564c259d96da24d81a55b138afb9","observation_id":"3fc3bee1-5618-4e46-aaa7-67ee878916be","resolution":{"observed_at":"2026-08-04T07:40:27.785533Z","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":"2026-08-04T07:40:27.866952Z","title":"Deep Learning for Market by Order Data,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.866952Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:f99b7d54bdccc49c3cd55ac43f868d7dd6b6ca8a97d6b0ffbe364b426f18a506","observation_id":"66070cb2-cf23-4462-84b6-9003cc3b2722","resolution":{"observed_at":"2026-08-04T07:40:27.866952Z","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":"2026-08-04T07:40:27.924414Z","title":"Limit Order Books,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.924414Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:1db1655dcc623fc683e396bb0e8b5a154f3b66e7c0ada4ea62e5343ef72aa683","observation_id":"7cb8416b-1b38-45c1-b3e4-093837ddb1b8","resolution":{"observed_at":"2026-08-04T07:40:27.924414Z","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":"2026-08-04T07:40:27.972499Z","title":"Limit Order Markets: A Survey,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:27.972499Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:7a27ff0aa841bf8952e7d80648bdaa076feeb35fa1ac8d900f400e0c7dac1e12","observation_id":"c12d6807-3995-46bd-a08f-c3ab055b4ee3","resolution":{"observed_at":"2026-08-04T07:40:27.972499Z","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":"2026-08-04T07:40:28.038554Z","title":"IIsy: Hybrid In-Network Classification Using Pro- grammable Switches,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.038554Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:8bbcbfc01bf6fe2e7f4c5b7c9b13ce98cdb67d22c8db3bf775910385e73455a4","observation_id":"fd51ecdd-67af-496d-80d2-6810825878fa","resolution":{"observed_at":"2026-08-04T07:40:28.038554Z","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":"2026-08-04T07:40:28.173599Z","title":"Compiling P4 to eBPF,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.173599Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:3cf260dd20fd8bfd31c4faf174e9a49618efb828d3e7a79c8efe2c68ff0cce5a","observation_id":"3db57ea6-bc7b-4677-9f29-8442ac81bf78","resolution":{"observed_at":"2026-08-04T07:40:28.173599Z","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":"2026-08-04T07:40:28.326896Z","title":"BF6064X-T Advanced Programmable Switch,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.326896Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:a024c4f6c2e3829ac43b2dd99766d3cccb557f4bdb211eccfe358fec29e9aea9","observation_id":"f44260ef-ed33-448d-9126-ec489844dda6","resolution":{"observed_at":"2026-08-04T07:40:28.326896Z","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":"2026-08-04T07:40:28.472393Z","title":"A Survey on Data Plane Programming with P4: Fundamentals, Advances, and Applied Research,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.472393Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:21e89142d0ba49ccbc1fa8b9d35d6379f5517dbb2cddd45ca8bc5a9efc4d0e6b","observation_id":"091f2d92-72bf-4be6-b96c-ca2bed49c05c","resolution":{"observed_at":"2026-08-04T07:40:28.472393Z","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":"2026-08-04T07:40:28.637110Z","title":"Nasdaq ITCH Data Source,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.637110Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:9b04deca74709ed27e2b2943eddaa4a2a4c1684f76a6f60873dffc2ae4cfcd1d","observation_id":"f39590ed-f1bf-4010-bd3a-5003d166b3fe","resolution":{"observed_at":"2026-08-04T07:40:28.637110Z","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":"2026-08-04T07:40:28.783267Z","title":"Nasdaq TotalView-ITCH 5.0,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.783267Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:07732eb7210fe4f247da6a92f48697b303dd3bed790aa7301fb6b91695840433","observation_id":"8c847f39-3011-415e-ab24-233e62e48ec0","resolution":{"observed_at":"2026-08-04T07:40:28.783267Z","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":"2026-08-04T07:40:28.895810Z","title":"martinobdl/ITCH: ITCH50Converter,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:28.895810Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:f01b3033a6e2ee581da87a656691445abc9368f068f1d64f49d6a7a6cf2026f8","observation_id":"020febfd-2915-4986-85f0-1091235098a1","resolution":{"observed_at":"2026-08-04T07:40:28.895810Z","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":"2026-08-04T07:40:29.131296Z","title":"Scikit-learn: Machine Learning in Python,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:29.131296Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:e914200182694dbd2311b6783bec4e0b4ccb77864c2e241fb6dbcecda9096ae4","observation_id":"ffca1dbd-e52b-43cf-84c7-27f6796b89e4","resolution":{"observed_at":"2026-08-04T07:40:29.131296Z","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":"2026-08-04T07:40:29.222668Z","title":"SMOTE: Synthetic Minority Over-sampling Technique,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:29.222668Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:e854afbf8e52d797d8b5cf0a916479c26ca799d84aa1b3c01c871d725fff9de8","observation_id":"0f71c47d-b995-4459-98b3-972f1b96b315","resolution":{"observed_at":"2026-08-04T07:40:29.222668Z","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":"2026-08-04T07:40:29.392669Z","title":"Latency and Liquidity Provision in a Limit Order Book,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:29.392669Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:bac9f53688e4dce6f8d9c71ed631b78a06b63a3f01cd1f40e13e6be64a40bbd2","observation_id":"78f91e11-c1a5-4a7d-95fb-6145bdb79e7f","resolution":{"observed_at":"2026-08-04T07:40:29.392669Z","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":"2026-08-04T07:40:29.568923Z","title":"DINC: Toward Distributed In-Network Computing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:29.568923Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:2a25ac47b5fbe7cfd85217efd3996a313fb1b570debd52516a0f7ad7a9fb2720","observation_id":"9591d68b-951d-4c41-a79e-4c076dc98908","resolution":{"observed_at":"2026-08-04T07:40:29.568923Z","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":"2026-08-04T07:40:29.690812Z","title":"JAX-LOB: A GPU-Accelerated Limit Order Book Simulator to Unlock Large Scale Reinforcement Learning for Trading,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:29.690812Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:3ef7b62763fcebbd697fee6cc21262ef04bb922a4cc0e3e63d92bbbf314f2982","observation_id":"e91439d9-86aa-4d61-b4c9-d72c923b378a","resolution":{"observed_at":"2026-08-04T07:40:29.690812Z","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":"2026-08-04T07:40:29.010382Z","title":"Available: https://zenodo.org/record/5209267","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-04T07:40:29.010382Z"},"links":{"citing_paper":"/paper/2608.02424"},"observation_digest":"sha256:b92e290d0ecd77f88c9fa4ff6dce58e936f7bf7f3a62ce6883f1a8be0ec6ab0e","observation_id":"6df42d4c-97fb-4e82-817b-1df55381cb2b","resolution":{"observed_at":"2026-08-04T07:40:29.010382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.02424","last_updated":"2026-08-03T16:05:49Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-09T04:37:43.774608Z","submitted_at":"2026-08-03T16:05:49Z","title":"In-Network Market Prediction Using Machine Learning and Limit Order Books"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":59,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":59},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.02424."}