{"as_of":"2026-08-10T01:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ff4b22e352307c71bd1196efea6be1b2e9834b1dea2adb3d0d24cc64d571cf4","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T00:26:31.080243Z","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":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/2607.26245/citation-record","integrity":"/paper/2607.26245/integrity","json":"/paper/2607.26245/citation-record.json","paper":"/paper/2607.26245"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:26:28.297222Z","title":"Prediction markets as a research tool.The Economists’ Voice, 5(1):1–4, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.297222Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:6a92ea184235daf1b67cdaddbff4781b8d7d738eef6741057b9a1e18e1c2ce52","observation_id":"a853e214-b61e-4fc7-b9b4-20c9d4f1ad38","resolution":{"observed_at":"2026-08-01T00:26:28.297222Z","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":"2026-08-01T00:26:28.365356Z","title":"Price discovery on Bitcoin exchanges.Journal of International Financial Markets, Institutions and Money, 36:18–35,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.365356Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:62179c8bfee94e8916200c8daa8afc285cc5bba15b298b165d469f6ac4cafe8c","observation_id":"ac2db700-cac9-4f96-8d32-2b7efd915a89","resolution":{"observed_at":"2026-08-01T00:26:28.365356Z","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":"10.1175/1520-0493(1950","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:31:07.079380Z","title":"Verification of forecasts expressed in terms of probability","venue":null,"work_id":"06fcaf5c-9ef1-4284-84ea-33fb6143c25c","year":1950},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.577207Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:27971e5bd8cf1544cb573902384de14b2d9400f0fcfa79a7ffe676b9521134ca","observation_id":"025512f1-4abf-4fa1-a2af-60028e8cf352","resolution":{"observed_at":"2026-08-01T00:31:07.120621Z","resolver_source":"doi","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":"2604.14199","last_updated":"2026-04-03T06:25:21Z","snapshot_observed_at":"2026-08-02T23:48:38.385069Z","submitted_at":"2026-04-03T06:25:21Z","title":"PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.14199","snapshot_observed_at":"2026-08-01T00:26:28.697509Z","title":"PolyBench: Benchmarking LLM forecasting and trading capabilities on live prediction market data","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.697509Z"},"links":{"cited_paper":"/paper/2604.14199","citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:463dac2c8fc3a6e6f7653b343c6caa656e163a2b90a47236d4e0834eb80f3350","observation_id":"5056f1fc-0043-4429-94a2-45d647a44feb","resolution":{"observed_at":"2026-08-01T00:26:28.697509Z","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":"2026-08-01T00:26:28.835959Z","title":"The price impact of order book events.Journal of Financial Econometrics, 12(1):47–88,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.835959Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:02f9b3ffdf166c4737c767c9bc573ff831f564a91bdb02da3cc18123081db948","observation_id":"e5f7a9b4-86b8-42bc-bbd4-7865b19595a1","resolution":{"observed_at":"2026-08-01T00:26:28.835959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.24366","last_updated":"2026-05-14T14:44:36Z","snapshot_observed_at":"2026-07-06T23:10:24.992210Z","submitted_at":"2026-04-27T12:01:14Z","title":"The Anatomy of a Decentralized Prediction Market: Microstructure Evidence from the Polymarket Order Book","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.24366","snapshot_observed_at":"2026-08-01T00:26:29.045565Z","title":"The anatomy of a decentralized prediction market: Microstructure evidence from the Polymarket order book.arXiv preprint arXiv:2604.24366, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.045565Z"},"links":{"cited_paper":"/paper/2604.24366","citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:db303268a814c3e5d5e486bc879d61e116f01532d6ddca10d3b77dbdf6092abe","observation_id":"4544945d-b8c0-4393-82ed-ce5f644127d9","resolution":{"observed_at":"2026-08-01T00:26:29.045565Z","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":"2026-08-01T00:26:29.132662Z","title":"European Commission, 2016","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.132662Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:0cb1c7982ed0e0ec50cc9cffca4b4614425be07f5b6813d7f50189f39cad3ddd","observation_id":"028e3ac0-22e2-4602-a0e5-24d2fb86ac90","resolution":{"observed_at":"2026-08-01T00:26:29.132662Z","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":"2026-08-01T00:26:29.220130Z","title":"Limit order books.Quantitative Finance, 13(11):1709–1742, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.220130Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:030e664ed590b400fa14b51e816d9112a600feef5061b2fa22aea327911a9edf","observation_id":"815ddbfb-76b6-4790-a35d-f3894f3f3fec","resolution":{"observed_at":"2026-08-01T00:26:29.220130Z","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":"2026-08-01T00:26:29.314330Z","title":"On calibration of modern neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.314330Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:34e0ef4e389a8eaeabdfdd1b676a1a5731e1dfffd2407f9380a660e573fe18aa","observation_id":"81761420-44ec-4ebb-8a14-4d2ff543c88f","resolution":{"observed_at":"2026-08-01T00:26:29.314330Z","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":"10.1023/a:1022055808304","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:31:06.777570Z","title":"Combinatorial information market design.Information Systems Frontiers, 5(1):107–119, 2003","venue":null,"work_id":"ddf2c5f1-db8d-4d81-a045-aec433beece0","year":2003},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.418478Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:79a96690e707f177c133d054790c997bf7d8d942b6f6defd41d28deea831d8ee","observation_id":"c68a40af-703f-431c-9c32-fca53888ff40","resolution":{"observed_at":"2026-08-01T00:31:06.923905Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:26:29.555934Z","title":"One security, many markets: Determining the contri- butions to price discovery.Journal of Finance, 50(4):1175–1199, 1995","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.555934Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:b6738a5bc2cd623c2cee0afbef2841ab6d69111ce566ca6696c24c8d1fceb292","observation_id":"50a3a984-48c3-4213-8aaf-8e461d34c365","resolution":{"observed_at":"2026-08-01T00:26:29.555934Z","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":"2026-08-01T00:26:29.675233Z","title":"Lobster: Limit order book recon- struction system","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.675233Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:70911240efaff980ec33bed4590bbbbbe6e4fe775cf0582ce0a3f29f9213480c","observation_id":"9230b640-50b3-49e4-a67c-37a8e8e18fe7","resolution":{"observed_at":"2026-08-01T00:26:29.675233Z","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":"2026-08-01T00:26:29.778896Z","title":"IEEE, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.778896Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:434d5e1197fe675b6242544def8ff1403aea744f27f413bb4012782f9b58a916","observation_id":"59e675c0-cc01-4158-bf01-f95667896d9c","resolution":{"observed_at":"2026-08-01T00:26:29.778896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.20421","last_updated":"2026-04-22T10:39:47Z","snapshot_observed_at":"2026-07-31T22:06:03.958462Z","submitted_at":"2026-04-22T10:39:47Z","title":"Unlocking the Forecasting Economy: A Suite of Datasets for the Full Lifecycle of Prediction Market: [Experiments \\& Analysis]","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.20421","snapshot_observed_at":"2026-08-01T00:26:29.861550Z","title":"Unlocking the forecasting economy: A suite of datasets for the full lifecycle of prediction market: Experiments & analysis.arXiv preprint arXiv:2604.20421, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:29.861550Z"},"links":{"cited_paper":"/paper/2604.20421","citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:e8a3199edbc4957632429b0009f0ce98fe111546dec9f994c94c78dff7f5732e","observation_id":"62c0dc18-b215-4dc6-bf07-bc542af75851","resolution":{"observed_at":"2026-08-01T00:26:29.861550Z","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":"10.1016/s1386-4181(00)000","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:31:06.685877Z","title":"Market microstructure: A survey.Journal of Financial Markets, 3(3):205–258, 2000","venue":null,"work_id":"0359b1a6-6575-4974-8bdd-6aa789b860f2","year":2000},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.010958Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:0120c40a7a98099ec6651b91b96f16d1e243a1c0d820d8d88a2d55d83f555cfd","observation_id":"2a495212-42bb-45db-b40a-8d26e2e75fda","resolution":{"observed_at":"2026-08-01T00:31:06.756008Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:26:30.090787Z","title":"Trading and arbitrage in cryp- tocurrency markets.Journal of Financial Economics, 135(2):293–319,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.090787Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:72f992d4970e92827681fe46ecda4d54261b46310b96a395acd299ecf577f952","observation_id":"b64b6ca6-b5d3-49ed-b0da-8ea14c2cd9a1","resolution":{"observed_at":"2026-08-01T00:26:30.090787Z","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":"2026-08-01T00:26:30.333829Z","title":"Network time protocol version 4: Protocol and algorithms specification","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.333829Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:d7f2fe2b9918a419120843439445f6db433ab650de4358cf8957be4193807c89","observation_id":"896dc4ca-c54a-4990-8a13-72a8875d347a","resolution":{"observed_at":"2026-08-01T00:26:30.333829Z","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":"2026-08-01T00:26:30.438257Z","title":"Benchmark dataset for mid-price fore- casting of limit order book data with machine learning methods.Journal of Forecasting, 37(8):852–866, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.438257Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:eba27b718a44c5c75f08a56b0e91f765f183dd1b656856470aebfee3d8c2f710","observation_id":"5b7c6610-2517-4286-bf7c-255600637705","resolution":{"observed_at":"2026-08-01T00:26:30.438257Z","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":"10.1016/j.jfineco.2014","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:31:06.468911Z","title":"High frequency market microstructure.Journal of Financial Economics, 116(2):257–270, 2015","venue":null,"work_id":"5c0b82e7-498c-4a0a-92a4-48f52953b773","year":2015},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.566884Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:97afc99ee6d99edb24da63c18c185d55e2f41aba9fc71ac4469c7fb4d8b3615e","observation_id":"f36632f0-0818-41e6-9000-2c24dbc43548","resolution":{"observed_at":"2026-08-01T00:31:06.622739Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:26:30.648702Z","title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.648702Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:374f3e1fd95c9b2e0015231b6518e6ca508ae5994922771efb0ac76292821d33","observation_id":"eb7602be-d260-485e-be71-52294c58a03c","resolution":{"observed_at":"2026-08-01T00:26:30.648702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.04217","last_updated":"2026-06-08T11:47:35Z","snapshot_observed_at":"2026-08-07T04:27:45.921404Z","submitted_at":"2026-06-02T21:06:27Z","title":"Polymarket-v1 Database","version":2},"cited_work":{"arxiv_id":"2606.04217","doi":"10.48550/arxiv.2606.04217","metadata_source":"pith","pith_arxiv_id":"2606.04217","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Polymarket-v1 Database","venue":"cs.CE","work_id":"edb38bcf-f55b-4fe8-b438-ded1f3d578bf","year":2026},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.738841Z"},"links":{"cited_paper":"/paper/2606.04217","citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:41e39af65d60a33dfa7d8faffe7edbdd606c5df14568cc51354b4e36b506b23f","observation_id":"677be0c1-695c-4955-9cb2-47a70f45ccea","resolution":{"observed_at":"2026-08-01T00:31:06.438941Z","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":"2510.15612","last_updated":"2026-07-08T16:24:55Z","snapshot_observed_at":"2026-08-09T05:51:26.244564Z","submitted_at":"2025-10-17T12:59:47Z","title":"SoK: Market Microstructure for Decentralized Prediction Markets (DePMs)","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.15612","snapshot_observed_at":"2026-08-01T00:26:30.831329Z","title":"SoK: Market microstructure for decentralized prediction markets (DePMs).arXiv preprint arXiv:2510.15612, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.831329Z"},"links":{"cited_paper":"/paper/2510.15612","citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:76da4ebc9c97333db2cc9fb5d82a3708b43a36aa981f2e3db72a7672b245402e","observation_id":"a357b844-5a44-445b-9b79-0885e199c99d","resolution":{"observed_at":"2026-08-01T00:26:30.831329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03474","last_updated":"2025-08-05T14:06:50Z","snapshot_observed_at":"2026-08-09T16:44:59.581683Z","submitted_at":"2025-08-05T14:06:50Z","title":"Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.03474","snapshot_observed_at":"2026-08-01T00:26:30.922720Z","title":"Unravelling the probabilistic forest: Arbitrage in prediction markets.arXiv preprint arXiv:2508.03474, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.922720Z"},"links":{"cited_paper":"/paper/2508.03474","citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:9c70059111ffb2fb4dc6543926ae6b2dc8fa10cfe23b0f79cfd583bdf8e9074e","observation_id":"075dd913-a13a-4df6-84aa-fe176ff9c5cb","resolution":{"observed_at":"2026-08-01T00:26:30.922720Z","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":"10.1257/0895330041","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:31:06.112267Z","title":"Prediction markets.Journal of Economic Perspectives, 18(2):107–126, 2004","venue":null,"work_id":"430fab6b-b9e1-432d-853b-41caf0afe898","year":2004},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.987856Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:348ec98ea61ee66bd96d87b6ea5e881988eea3414ce2d259ea11efef54177d67","observation_id":"db8e1334-e9d2-4d57-aeda-f1a96f0e94d3","resolution":{"observed_at":"2026-08-01T00:31:06.306479Z","resolver_source":"doi","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":"10.1109/tsp.2019.2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:31:05.950730Z","title":"DeepLOB: Deep convolutional neural networks for limit order books.IEEE Transactions on Signal Processing, 67(11):3001–3012, 2019","venue":null,"work_id":"f037207b-c178-42a9-888a-59751e8edf04","year":2019},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:31.080243Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:053c21ea4bd9a51269173bc483b866ca144420ca0b54da76a5bf5907943ae457","observation_id":"e47b426e-5a16-4714-a195-0c7b1399ccbf","resolution":{"observed_at":"2026-08-01T00:31:06.108406Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:26:28.920582Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.920582Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:76f4ea4bec234fa71b0168439b2256aa78d1ebf83fdb65dd98e420cf6e1aa4bc","observation_id":"eee7d00f-6359-45f4-b190-f6a94149951f","resolution":{"observed_at":"2026-08-01T00:26:28.920582Z","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":"10.1016/j.intfin.2015.02.010","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of International Financial Markets Institutions and Money","work_id":"aebf964d-5aa7-4305-9c63-65c98cab3a8e","year":2015},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:28.491810Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:b99657cf1f8bb282dea671041bb16cf743de92172e3fe59ce050b71fc4b4925f","observation_id":"909a32e2-8f28-4eeb-9abe-5c24027ba403","resolution":{"observed_at":"2026-08-01T00:31:07.315032Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:26:30.197626Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-01T00:26:30.197626Z"},"links":{"citing_paper":"/paper/2607.26245"},"observation_digest":"sha256:e8e40711f673f02e3ee3118cca64b56cc1dced5aa7de248f8e0e877636a6c802","observation_id":"c9fbbb63-be2f-43a2-a1d6-77bda5fb3aeb","resolution":{"observed_at":"2026-08-01T00:26:30.197626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.26245","last_updated":"2026-07-28T20:28:16Z","latest_version":1,"primary_category":"q-fin.TR","snapshot_observed_at":"2026-08-08T06:57:10.898347Z","submitted_at":"2026-07-28T20:28:16Z","title":"OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":8,"verified_fuzzy":0},"total_outbound_references":28},"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 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.26245."}