{"as_of":"2026-08-16T04:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d445d4ce96ddf134ea9d77a41d1a1e227a6048c6ef41ed66ed0fad10137c7894","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:56:22.171582Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2608.13096/citation-record","integrity":"/paper/2608.13096/integrity","json":"/paper/2608.13096/citation-record.json","paper":"/paper/2608.13096"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08797","last_updated":"2025-10-09T00:43:44Z","snapshot_observed_at":"2026-07-06T15:03:52.079498Z","submitted_at":"2023-03-15T17:43:42Z","title":"Stochastic Interpolants: A Unifying Framework for Flows and Diffusions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08797","snapshot_observed_at":"2026-08-15T16:56:21.750751Z","title":"Albergo, Nicholas M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.750751Z"},"links":{"cited_paper":"/paper/2303.08797","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:63999a706b713da63e4a208ca9d57804d525d7ddb8461bb7e2eac8715a19cedf","observation_id":"5ca6a4c6-ec09-4ab9-8ac5-de07e64e775f","resolution":{"observed_at":"2026-08-15T16:56:21.750751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.05107","last_updated":"2025-09-05T13:43:12Z","snapshot_observed_at":"2026-08-09T07:52:42.956634Z","submitted_at":"2025-09-05T13:43:12Z","title":"Painting the market: generative diffusion models for financial limit order book simulation and forecasting","version":1},"cited_work":{"arxiv_id":"2509.05107","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.05107","snapshot_observed_at":"2026-08-15T16:56:23.186107Z","title":"Painting the market: generative diffusion models for financial limit order book simulation and forecasting","venue":"q-fin.TR","work_id":"418bfdd7-c451-4c25-bb63-99479f730bb2","year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.764523Z"},"links":{"cited_paper":"/paper/2509.05107","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:c7ffb8e4519371c774b7f0e8765674d66c25590f9a3c4b2a265a1be6c6090cde","observation_id":"e598caef-55d0-4e21-8308-ccbf24b3f923","resolution":{"observed_at":"2026-08-15T16:56:23.192978Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.478467Z","title":null,"venue":null,"work_id":"1760b040-fd9c-4648-9705-376d88ca7a49","year":2015},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.770494Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:62645e54800dd1aabaeb8a5beeefe896636c12513227d01d2ebb0e58e456a9a9","observation_id":"66069ba3-e819-4636-ab7a-50f894b2f0d5","resolution":{"observed_at":"2026-08-15T16:56:23.483597Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T16:56:21.775616Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.775616Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:1aeeffc85ff88e1267ebbcf7d65e62973494bb1a9650767710b76a6f2140ee08","observation_id":"669e9b62-543b-457b-9453-c4df5acdaf32","resolution":{"observed_at":"2026-08-15T16:56:21.775616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03042","last_updated":"2018-02-08T20:44:26Z","snapshot_observed_at":"2026-08-14T19:47:30.294854Z","submitted_at":"2018-02-08T20:44:26Z","title":"Deep Hedging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03042","snapshot_observed_at":"2026-08-15T16:56:21.780982Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.780982Z"},"links":{"cited_paper":"/paper/1802.03042","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:500df95941f0e635bc07a6355547f843680afa70d2b55e3f1c70f7a9745207a0","observation_id":"e2b21ca2-bd39-48cb-bab6-86fc5b1cb171","resolution":{"observed_at":"2026-08-15T16:56:21.780982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.462698Z","title":null,"venue":null,"work_id":"a4e7000b-d6fb-42e0-851e-08a1de0d4c71","year":2020},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.786671Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:d240475aa054d89908bdf6c3bc61bfea5d60efdf6f8be3b7180d837ac3e5b661","observation_id":"cd5a4160-d35e-472a-864e-4777d4180805","resolution":{"observed_at":"2026-08-15T16:56:23.467551Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.446121Z","title":null,"venue":null,"work_id":"9647ec20-e8b3-4d31-b3f6-2245d13afa17","year":2022},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.792740Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:f1772c931cb347cb23bf0a64ff62cdc06dcd8a41bdaab8e24459b8703868fe3a","observation_id":"7e25e338-3ac8-4c42-a344-09be53cfb047","resolution":{"observed_at":"2026-08-15T16:56:23.451538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.13287","last_updated":"2021-10-25T22:01:07Z","snapshot_observed_at":"2026-08-13T17:46:01.446759Z","submitted_at":"2021-10-25T22:01:07Z","title":"Towards Realistic Market Simulations: a Generative Adversarial Networks Approach","version":1},"cited_work":{"arxiv_id":"2110.13287","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.13287","snapshot_observed_at":"2026-08-15T16:56:23.043184Z","title":"Towards Realistic Market Simulations: a Generative Adversarial Networks Approach","venue":"cs.AI","work_id":"e2fa1e19-d8f1-4497-8f33-832d317b3fee","year":2021},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.798673Z"},"links":{"cited_paper":"/paper/2110.13287","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:5442f76d42c304d4f2c6e4ee53c41c0ea7d59aef547ab40cb251664a44dcbf2f","observation_id":"049abbd6-79af-47e5-bcaf-e905446913ac","resolution":{"observed_at":"2026-08-15T16:56:23.050214Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.430246Z","title":null,"venue":null,"work_id":"92ac4818-1d9c-43bb-b8be-ca438e5a0bfc","year":2001},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.805129Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:856162b3f48861b4fe24a6c02e704ea8f2ec8080b0a638d5b5c437d1ac38ee65","observation_id":"47901886-702c-4135-b4b8-fb38fd126a51","resolution":{"observed_at":"2026-08-15T16:56:23.435085Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.05233","last_updated":"2021-06-01T17:49:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-05-11T17:50:24Z","title":"Diffusion Models Beat GANs on Image Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.05233","snapshot_observed_at":"2026-08-15T16:56:21.816206Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.816206Z"},"links":{"cited_paper":"/paper/2105.05233","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:e70c2d75639a8cf82f804bec62df2b3e641b42e09da6b5b1487794198d242cbe","observation_id":"1eb84378-34b9-4495-8451-393f9a9e6dee","resolution":{"observed_at":"2026-08-15T16:56:21.816206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03206","last_updated":"2024-03-05T18:45:39Z","snapshot_observed_at":"2026-08-13T01:47:21.043519Z","submitted_at":"2024-03-05T18:45:39Z","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03206","snapshot_observed_at":"2026-08-15T16:56:21.822092Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.822092Z"},"links":{"cited_paper":"/paper/2403.03206","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:13525a0b36b06052987043c9914e5c080b8c21b575808997f7da46138116c96c","observation_id":"485ab144-20a0-4d99-a8c4-02659cd464af","resolution":{"observed_at":"2026-08-15T16:56:21.822092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.412833Z","title":"Doyne Farmer, Paolo Patelli, and Ilija I","venue":null,"work_id":"8a6e1716-0bbd-4287-8e60-8e32cfb37286","year":2005},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.828037Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:0796a94e445ee3e71f49eeef32cded696fa82cb5a446bb943f46017a355aaafe","observation_id":"88aee257-1e1b-49cc-8c19-10bf16c6ba9b","resolution":{"observed_at":"2026-08-15T16:56:23.418191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.396221Z","title":"Gode and Shyam Sunder","venue":null,"work_id":"1772e11a-2cd9-4901-a4f9-f6ce336e703f","year":1993},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.834539Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:5f6a3ae1989f8805d98466eef00091404cb4547b67f31cc2dfccbe62975f345c","observation_id":"75791aa6-dfbc-4863-8a21-87b3cdaefae6","resolution":{"observed_at":"2026-08-15T16:56:23.401082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T16:56:21.841107Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.841107Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:2c6d07b23ba8baddb183765336b3ed483b21a8a16bee1e288eb81be6dea737ea","observation_id":"2e217171-1bf7-4d01-9437-fa4d7fd640bd","resolution":{"observed_at":"2026-08-15T16:56:21.841107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-08-10T05:21:27.485481Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-15T16:56:21.847263Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.847263Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:dbe27261af73ac748a189279ff4f812f221f496211bfa34be39526295e892b55","observation_id":"c83cc10d-a899-4756-9a63-234ceb8e66f6","resolution":{"observed_at":"2026-08-15T16:56:21.847263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-15T16:56:21.856283Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.856283Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:d8f6aa0da8c8468d5656f594ac17606fce2333c4696a670704ecdefd5fea6926","observation_id":"ac8cdbd0-14d0-4607-ae73-724110e2e92b","resolution":{"observed_at":"2026-08-15T16:56:21.856283Z","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":"2026-08-15T16:56:21.862983Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.862983Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:ddf94ddebdd47f2a14fff76e007129a7a86fdfbf0e4635ff4c98b3e5d5d3b1e2","observation_id":"62d0bbcf-c7b1-47b8-8cb5-a7223cd9db7b","resolution":{"observed_at":"2026-08-15T16:56:21.862983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07506","last_updated":"2025-02-08T14:19:45Z","snapshot_observed_at":"2026-08-15T01:55:23.454351Z","submitted_at":"2024-11-12T03:03:23Z","title":"FlowTS: Time Series Generation via Rectified Flow","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07506","snapshot_observed_at":"2026-08-15T16:56:21.868523Z","title":"Li, Sheng Wang, Jiheng Zhang, Ziyun Li, and Tianlong Chen","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.868523Z"},"links":{"cited_paper":"/paper/2411.07506","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:57d8de33330378cd9cd4757174332da3127a9b1e08fafa8bbff0514176da005f","observation_id":"935e0391-ff6c-43b2-bedd-b301a845f013","resolution":{"observed_at":"2026-08-15T16:56:21.868523Z","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":"2026-08-15T16:56:21.875095Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.875095Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:a0db1cf9bb3661032bb77366b14895f28f5613faf9a88ef401f8edd182e3b67b","observation_id":"dce829af-c223-4b0d-949e-f7b872e1bbff","resolution":{"observed_at":"2026-08-15T16:56:21.875095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.380357Z","title":null,"venue":null,"work_id":"060f9ae0-6cd8-4158-a6be-3dfdc8123e14","year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.880760Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:65b01840dd154aadaada1be0f76421b28cbf92123a3a9e784e7e8abf9604ee13","observation_id":"bf319e6d-96cb-4e5d-965b-57f5aac4f596","resolution":{"observed_at":"2026-08-15T16:56:23.385209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.362985Z","title":null,"venue":null,"work_id":"5c08cf71-4bf8-44c4-8134-6771e2f7ecca","year":2024},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.885809Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:97f6394cc5fe30667dc9b3e59f7bb2dfec69b64c6d9c1085547d5eb2c849c10b","observation_id":"3ef211d0-70a5-4c6d-865f-91bc67300d62","resolution":{"observed_at":"2026-08-15T16:56:23.367839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00364","last_updated":"2022-10-11T13:20:30Z","snapshot_observed_at":"2026-07-06T13:16:16.926712Z","submitted_at":"2022-06-01T10:03:24Z","title":"Elucidating the Design Space of Diffusion-Based Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00364","snapshot_observed_at":"2026-08-15T16:56:21.890806Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.890806Z"},"links":{"cited_paper":"/paper/2206.00364","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:5a75eb43858e267e737709353c8c6b9a3dd1d60b4f94b3de212bc5032e7f66e8","observation_id":"419db946-a9e6-4267-80f9-28db7a205e68","resolution":{"observed_at":"2026-08-15T16:56:21.890806Z","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":"2026-08-15T16:56:21.895655Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.895655Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:0e7963a4243bdff52312afb1f09977f6dcc5a56732cc3109eea886ad322a12f7","observation_id":"70413be5-3039-481d-855f-bc27d7808772","resolution":{"observed_at":"2026-08-15T16:56:21.895655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.347216Z","title":null,"venue":null,"work_id":"ff91aef3-1c06-4036-bcfa-2ed66c275913","year":null},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.900497Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:0e06e8f66d8ca54f706e7f120360008f080fa05f24944cb8ce76a2cc908ff950","observation_id":"90839575-d781-4385-83e9-7f59a02f400e","resolution":{"observed_at":"2026-08-15T16:56:23.352125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02247","last_updated":"2025-08-07T04:31:56Z","snapshot_observed_at":"2026-08-09T19:23:18.228608Z","submitted_at":"2025-08-04T09:48:42Z","title":"ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space","version":2},"cited_work":{"arxiv_id":"2508.02247","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.02247","snapshot_observed_at":"2026-08-15T16:56:22.657948Z","title":"ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space","venue":"q-fin.CP","work_id":"c4dbadde-12c3-4d7f-ac00-16b887871d7f","year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.910661Z"},"links":{"cited_paper":"/paper/2508.02247","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:b92ba05f886becd6ff5fb99ce1fbb3bf17754ba8a6bb58fdba51164e47a4e72e","observation_id":"7ca493bf-385c-4235-901c-4eeb0c1e61f4","resolution":{"observed_at":"2026-08-15T16:56:22.663946Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.05784","last_updated":"2025-05-22T04:48:37Z","snapshot_observed_at":"2026-08-15T22:54:10.339101Z","submitted_at":"2025-05-09T04:58:14Z","title":"FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.05784","snapshot_observed_at":"2026-08-15T16:56:21.917189Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.917189Z"},"links":{"cited_paper":"/paper/2505.05784","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:ef99be1422718dd5101bc2a8f3d74dd5315d4d476bbac9ff07ebfc464b5caf78","observation_id":"2c229681-2964-4e12-820a-ac698091daa6","resolution":{"observed_at":"2026-08-15T16:56:21.917189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-15T16:56:21.922831Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.922831Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:c745e8d374bc8f6443833dceca5de295a360068db8a1e84d82b0031f29514db6","observation_id":"8f2e6e92-6a7d-49cb-92d9-208a3c27ae77","resolution":{"observed_at":"2026-08-15T16:56:21.922831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-15T16:56:21.928593Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.928593Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:9f68ec345a008fac3c4bd5f4ef9ab640fb01af556e885394d2776420d969dff8","observation_id":"40dee0c7-80d5-47f0-a840-2ee399564cd5","resolution":{"observed_at":"2026-08-15T16:56:21.928593Z","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":"2026-08-15T16:56:21.934231Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.934231Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:6537e5d6beec88495ebcd6007e4ca040fe1caf70d2a1e7284aa0ac211737334d","observation_id":"dee1ebb0-64e7-4ae2-b279-7a2c47c6d735","resolution":{"observed_at":"2026-08-15T16:56:21.934231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.00638","last_updated":"2023-08-23T09:37:22Z","snapshot_observed_at":"2026-08-14T14:02:53.833861Z","submitted_at":"2023-08-23T09:37:22Z","title":"Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.00638","snapshot_observed_at":"2026-08-15T16:56:21.943983Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.943983Z"},"links":{"cited_paper":"/paper/2309.00638","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:ff2dc6a28812e9e73e9788925a3381579f05ad37fee9e5d5e6dc6b8f40bab194","observation_id":"92669a70-5a8a-483a-9b3d-b7950b941fde","resolution":{"observed_at":"2026-08-15T16:56:21.943983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.290283Z","title":null,"venue":null,"work_id":"8d6a2be5-cdf7-4e41-9056-d1908923e29c","year":2026},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.949616Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:8d79559c756f7b87cff067067c88f8bb706eb67a620049f0f4084ee9a00715af","observation_id":"a2ef887f-763c-4efa-835f-c2f60b91fe6a","resolution":{"observed_at":"2026-08-15T16:56:23.295782Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.271888Z","title":null,"venue":null,"work_id":"761031bc-5ccd-466d-b261-db34d042df20","year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.954447Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:59a63b23eec184af6dd5a8ffde8704088032857d629d43333401a307388e1693","observation_id":"3d1ce80b-b3bc-42bb-bc90-8cef3b204f71","resolution":{"observed_at":"2026-08-15T16:56:23.278038Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09748","last_updated":"2023-03-02T09:06:55Z","snapshot_observed_at":"2026-07-06T14:32:37.317828Z","submitted_at":"2022-12-19T18:59:58Z","title":"Scalable Diffusion Models with Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09748","snapshot_observed_at":"2026-08-15T16:56:22.085113Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.085113Z"},"links":{"cited_paper":"/paper/2212.09748","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:01f3ec390005ee741182d2fc2b0f9b89697576e776c162235bee101567680430","observation_id":"b46af6e6-54e4-4713-a910-acc929b083ea","resolution":{"observed_at":"2026-08-15T16:56:22.085113Z","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":"2026-08-15T16:56:22.091575Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.091575Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:45f9688bfb733b4242b8781c215720e3b4c0fd6b4045dce9584b2f4f452a634c","observation_id":"728ad94a-eef6-4313-a6f2-da515dd64adb","resolution":{"observed_at":"2026-08-15T16:56:22.091575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00081","last_updated":"2024-03-20T20:21:35Z","snapshot_observed_at":"2026-08-13T09:27:08.657527Z","submitted_at":"2023-12-29T21:49:23Z","title":"Synthetic Data Applications in Finance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00081","snapshot_observed_at":"2026-08-15T16:56:22.096409Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.096409Z"},"links":{"cited_paper":"/paper/2401.00081","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:e2d4204e69190859f33a7e58c3674881b3c3a9774dc471949d4ebaf60c9ea8e7","observation_id":"fe9b4b20-3c8a-4368-a859-60089ad14a00","resolution":{"observed_at":"2026-08-15T16:56:22.096409Z","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":"2026-08-15T16:56:22.101666Z","title":"Weiss, Niru Maheswaranathan, and Surya Ganguli","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.101666Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:52df51539486db39149358fe133c50e883c59a5db1a93c3ec8e4ae14ab4060bf","observation_id":"ca2a3a41-6631-4073-8050-7cee5ddeb681","resolution":{"observed_at":"2026-08-15T16:56:22.101666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-15T16:56:22.111700Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.111700Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:32cc96c4e6f822cdd14756b370a4cdeae6c71dc4846ff3bcb10d11988724e860","observation_id":"f4a2cd1e-be3e-4ac6-bf3e-ea2190f97990","resolution":{"observed_at":"2026-08-15T16:56:22.111700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01469","last_updated":"2023-05-31T06:17:10Z","snapshot_observed_at":"2026-08-15T07:00:23.337991Z","submitted_at":"2023-03-02T18:30:16Z","title":"Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01469","snapshot_observed_at":"2026-08-15T16:56:22.116986Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.116986Z"},"links":{"cited_paper":"/paper/2303.01469","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:1c73325efdf72e837888777b26ed8b6b8c2defa31d7fad11b7ae4c0e0941d885","observation_id":"7ddfdb11-1466-4b42-9466-f5b6e1a718dd","resolution":{"observed_at":"2026-08-15T16:56:22.116986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.05600","last_updated":"2020-10-10T07:46:19Z","snapshot_observed_at":"2026-08-01T16:44:46.833530Z","submitted_at":"2019-07-12T07:37:26Z","title":"Generative Modeling by Estimating Gradients of the Data Distribution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.05600","snapshot_observed_at":"2026-08-15T16:56:22.122479Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.122479Z"},"links":{"cited_paper":"/paper/1907.05600","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:7e315b95317ccf0700eff91316c8e9c8d8e7e55fcd565abb1293efba9c1de699","observation_id":"ab92cc8c-dcbd-409b-846e-0ee1c7515a7a","resolution":{"observed_at":"2026-08-15T16:56:22.122479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-15T16:56:22.128372Z","title":"Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.128372Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:7ee09fbd5744d40ecbfc715fa843cb096669bd2b9568f224691e0bef66ee6e5f","observation_id":"ffb14991-8946-4174-88fa-fc26eb527f5b","resolution":{"observed_at":"2026-08-15T16:56:22.128372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04164","last_updated":"2025-03-06T07:25:37Z","snapshot_observed_at":"2026-08-12T11:37:48.820832Z","submitted_at":"2025-03-06T07:25:37Z","title":"CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04164","snapshot_observed_at":"2026-08-15T16:56:22.134175Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.134175Z"},"links":{"cited_paper":"/paper/2503.04164","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:f92846cffb2cb31a97e6a7561b1aa966f6f41b9b06c4fcf3573c52081b280e94","observation_id":"d7225b86-dcbe-411f-8ca9-61147a06794c","resolution":{"observed_at":"2026-08-15T16:56:22.134175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04941","last_updated":"2019-12-10T19:28:03Z","snapshot_observed_at":"2026-08-14T09:13:38.822035Z","submitted_at":"2019-12-10T19:28:03Z","title":"Get Real: Realism Metrics for Robust Limit Order Book Market Simulations","version":1},"cited_work":{"arxiv_id":"1912.04941","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.04941","snapshot_observed_at":"2026-08-15T16:56:22.424338Z","title":"Get Real: Realism Metrics for Robust Limit Order Book Market Simulations","venue":"q-fin.TR","work_id":"d8b9a2c9-03c8-4157-8f4d-afb45baeaa90","year":2019},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.140596Z"},"links":{"cited_paper":"/paper/1912.04941","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:c57e656deb05e4b3c20927725ce75528d12cf61ce6f1b3785e5c3b69b89cbd46","observation_id":"18d8b9bf-6db0-4adf-8c3f-fe50608631ad","resolution":{"observed_at":"2026-08-15T16:56:22.430712Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.08698","last_updated":"2025-08-12T07:42:00Z","snapshot_observed_at":"2026-08-14T21:42:17.575870Z","submitted_at":"2025-08-12T07:42:00Z","title":"DiffVolume: Diffusion Models for Volume Generation in Limit Order Books","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.08698","snapshot_observed_at":"2026-08-15T16:56:22.145726Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.145726Z"},"links":{"cited_paper":"/paper/2508.08698","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:c56399ea14da46d0c79ec41bfdb724b1c19f051b65d09f4aafd8bccbbbbbcfbe","observation_id":"99280ac8-f91f-4a5f-a9b4-a8b7c9ee703a","resolution":{"observed_at":"2026-08-15T16:56:22.145726Z","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":"2602.03776","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:22.375177Z","title":null,"venue":null,"work_id":"6ab392bb-6df4-4563-85cb-3e55fe516082","year":2026},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.150721Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:6d0b796e0b94c4eb305686e283c0048fad09d87c3c02a24ebfac7d703b97787e","observation_id":"abc922d4-91ee-4016-b4f8-50613908a54d","resolution":{"observed_at":"2026-08-15T16:56:22.385643Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.06673","last_updated":"2019-12-21T10:59:00Z","snapshot_observed_at":"2026-08-14T16:05:41.901651Z","submitted_at":"2019-07-15T18:08:43Z","title":"Quant GANs: Deep Generation of Financial Time Series","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.06673","snapshot_observed_at":"2026-08-15T16:56:22.156511Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.156511Z"},"links":{"cited_paper":"/paper/1907.06673","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:ffb98b3a3a710d9b02ff2057b3a91b3698303f6fffc8d7f902324ed5382af662","observation_id":"c0be9a6f-7caa-410b-adec-00de310bca1f","resolution":{"observed_at":"2026-08-15T16:56:22.156511Z","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":"2026-08-15T16:56:22.161724Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.161724Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:b1531e7f9f887ef98fe970faff83cb6d2db19a80b7a52c178186a5afa87a6c54","observation_id":"e217d5c3-48fe-409a-b5a8-a1e84ec98d97","resolution":{"observed_at":"2026-08-15T16:56:22.161724Z","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":"2026-08-15T16:56:22.166447Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.166447Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:47f6c6bd2ff745130c5b110b3c44b378aa06c9bba46cfaada00651fd11ace6bf","observation_id":"b5531c10-79e3-4c5c-a7a7-3801ee3c436e","resolution":{"observed_at":"2026-08-15T16:56:22.166447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09631","last_updated":"2024-11-27T19:52:43Z","snapshot_observed_at":"2026-08-12T10:54:45.158487Z","submitted_at":"2024-11-27T19:52:43Z","title":"Limit Order Book Event Stream Prediction with Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09631","snapshot_observed_at":"2026-08-15T16:56:22.171582Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.171582Z"},"links":{"cited_paper":"/paper/2412.09631","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:550682854c23ad163b87cbfa165524f3ebd057b01d9c52f6814dc3bcf47502a4","observation_id":"5cf3b2a8-8350-4e76-97cb-65d7028bd4e2","resolution":{"observed_at":"2026-08-15T16:56:22.171582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.03585","last_updated":"2015-11-18T21:50:51Z","snapshot_observed_at":"2026-07-06T04:11:47.439779Z","submitted_at":"2015-03-12T04:51:37Z","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.03585","snapshot_observed_at":"2026-08-15T16:56:22.106552Z","title":"In Proceedings of the 32nd International Conference on Machine Learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:22.106552Z"},"links":{"cited_paper":"/paper/1503.03585","citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:8df3b37df7f978b95ab86d2feb3585c3e910f58c6eb121c893d282c909c7641c","observation_id":"43159cd5-2b2c-4fc4-92dc-1b22cb77ffcd","resolution":{"observed_at":"2026-08-15T16:56:22.106552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:56:23.331273Z","title":"InProceedings of the AAAI Conference on Artificial Intelligence, Vol","venue":null,"work_id":"232304ac-b0c3-4cf0-b2fd-8c1cb6a5cc3c","year":null},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.905516Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:fbe1d98e3b1130707b1bac049e59d18f8b4d5d80d006591fda5a97036a362ce5","observation_id":"47ab50dd-282b-41e7-8d42-5cd5d0cab4d7","resolution":{"observed_at":"2026-08-15T16:56:23.336368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T16:56:21.939346Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T16:56:21.939346Z"},"links":{"citing_paper":"/paper/2608.13096"},"observation_digest":"sha256:512753af6ad1b6b83a44bc46186849a23e8c1b402e0fb762c18b059988211e43","observation_id":"59b66d4a-7ad3-4c18-a54a-345d75aff3d5","resolution":{"observed_at":"2026-08-15T16:56:21.939346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.13096","last_updated":"2026-08-13T11:01:56Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T04:12:15.437731Z","submitted_at":"2026-08-13T11:01:56Z","title":"FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":43,"verified_exact":5,"verified_fuzzy":3},"total_outbound_references":51},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.13096."}