{"as_of":"2026-08-17T05:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:be64e2f6a70203a3cb55f35aa3d8ab99ae8bb32293784784fe0508d7643a6f50","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:14:12.659861Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2608.12841/citation-record","integrity":"/paper/2608.12841/integrity","json":"/paper/2608.12841/citation-record.json","paper":"/paper/2608.12841"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:14.327400Z","title":"Proceedings of the 32nd International Conference on Machine Learning , series =","venue":null,"work_id":"5a919a7b-f8aa-4e69-88d1-1dda7482f839","year":2015},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.367925Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:b5491c31cb4bcc0d0d9859d11aa826d294b8fbc3dd37f30ebe0783074c81b6de","observation_id":"3836d9d5-9928-4fa1-a341-058b17ed44fc","resolution":{"observed_at":"2026-08-15T22:14:14.333081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:14.308702Z","title":"2024 , doi =","venue":null,"work_id":"7dd801f6-aa9b-44ad-afca-50b80e18e3f4","year":2024},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.376610Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:e662f7f0b7fffcf0ca5860d97beff6d7db775eff6e7eb6e75207d72e777c8433","observation_id":"35bf828a-ff72-41b6-ac1f-8ae196e2bdcc","resolution":{"observed_at":"2026-08-15T22:14:14.314458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:14.291079Z","title":"2025 , doi =","venue":null,"work_id":"ea78c4b9-4471-4151-9d1b-212266773136","year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.383235Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:bba56b672e99e7177d3d05535c2d17da70ef439f9f9dc67a646ac172d440ecd1","observation_id":"6c085224-c4c6-42d3-b6fa-f453adec84cd","resolution":{"observed_at":"2026-08-15T22:14:14.296321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:14.273473Z","title":"2026 , doi =","venue":null,"work_id":"17796dd6-ba87-4454-aa59-26ef10cd65a3","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.389067Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:079e08f05a507caf6025c065bc32be2fa7f29c2cdd03baa6f2587047c84e70dd","observation_id":"072ebc16-3b10-4948-92cf-5eae400b8035","resolution":{"observed_at":"2026-08-15T22:14:14.279109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06292","last_updated":"2024-09-01T00:41:18Z","snapshot_observed_at":"2026-07-06T18:59:43.564435Z","submitted_at":"2024-08-12T16:58:11Z","title":"The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06292","snapshot_observed_at":"2026-08-15T22:14:12.394143Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.394143Z"},"links":{"cited_paper":"/paper/2408.06292","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:f46eeed76f8e308976a0fe293ae91d0c3926b19a1e8e91c7ee51e48c4bdbd1cd","observation_id":"fa62b863-8fc0-4ae7-9484-eae986c4c6d9","resolution":{"observed_at":"2026-08-15T22:14:12.394143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.07085","last_updated":"2026-04-22T04:21:51Z","snapshot_observed_at":"2026-08-14T12:55:41.791546Z","submitted_at":"2026-02-06T08:08:04Z","title":"QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.07085","snapshot_observed_at":"2026-08-15T22:14:12.400037Z","title":"doi:10.48550/arXiv.2602.07085 , publisher =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.400037Z"},"links":{"cited_paper":"/paper/2602.07085","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:1448d3d3d118448a7be12e90ff7420a4f3954af107107b5871dcf36d13a78eff","observation_id":"0a1fa2b4-bba2-4e10-bf32-9399cbd7d921","resolution":{"observed_at":"2026-08-15T22:14:12.400037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.03668","last_updated":"2020-01-23T13:41:33Z","snapshot_observed_at":"2026-08-16T13:03:25.199425Z","submitted_at":"2018-08-10T18:36:49Z","title":"DeepLOB: Deep Convolutional Neural Networks for Limit Order Books","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.03668","snapshot_observed_at":"2026-08-15T22:14:12.405794Z","title":"doi:10.48550/arXiv.1808.03668 , publisher =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.405794Z"},"links":{"cited_paper":"/paper/1808.03668","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:416c14c28e198af8aa829ac4e4aa308bd9165fc61bbecd65fe90413045e143e9","observation_id":"15071457-af5a-40e9-b571-41fe5cf554a5","resolution":{"observed_at":"2026-08-15T22:14:12.405794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1601.00991","last_updated":"2016-03-18T17:41:08Z","snapshot_observed_at":"2026-08-14T22:15:50.794666Z","submitted_at":"2016-01-05T21:39:43Z","title":"101 Formulaic Alphas","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1601.00991","snapshot_observed_at":"2026-08-15T22:14:12.411508Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.411508Z"},"links":{"cited_paper":"/paper/1601.00991","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:e52aee0c00b0138e26c6eba1f833d8bac7826b733a7101d9f6cbce522b5577e0","observation_id":"a267b815-0df6-422e-bdd8-a04b973116b7","resolution":{"observed_at":"2026-08-15T22:14:12.411508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08245","last_updated":"2020-04-04T04:27:45Z","snapshot_observed_at":"2026-08-14T15:51:04.581336Z","submitted_at":"2020-02-09T02:26:05Z","title":"AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08245","snapshot_observed_at":"2026-08-15T22:14:12.418198Z","title":"doi:10.48550/arXiv.2002.08245 , publisher =","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.418198Z"},"links":{"cited_paper":"/paper/2002.08245","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:dd776950d7a398ba9094dcc29052f83b28dab8a15ade7f2fdb413082648a9ac5","observation_id":"9f3cbceb-e021-452f-91b5-2bfb1acc1c72","resolution":{"observed_at":"2026-08-15T22:14:12.418198Z","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":"2026-08-15T22:14:12.423941Z","title":"doi:10.1145/3448016.3457324 , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.423941Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:f4d036b532917178f54fb31b7760d01eb92ad893909da45ce4558fb8a4b83469","observation_id":"6c3e2308-4210-46a5-8b50-e97b855da29b","resolution":{"observed_at":"2026-08-15T22:14:12.423941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12964","last_updated":"2023-05-25T13:41:07Z","snapshot_observed_at":"2026-08-16T22:09:26.489144Z","submitted_at":"2023-05-25T13:41:07Z","title":"Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2306.12964","doi":"10.48550/arxiv.2306.12964","metadata_source":"pith","pith_arxiv_id":"2306.12964","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning","venue":"q-fin.ST","work_id":"cab1d28e-e79d-4ef6-ac09-2e1a37118c46","year":2023},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.429640Z"},"links":{"cited_paper":"/paper/2306.12964","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:b17b87cf8942722d58971adac5c33e173ee81d42d89e62666d0d3589ce782204","observation_id":"ba93d070-1d42-4f41-84e3-e4457e7efe2f","resolution":{"observed_at":"2026-08-15T22:14:13.676139Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:12.435808Z","title":"Notices of the American Mathematical Society , author =","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.435808Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:9c5dcadaef1a32e22096d09a9172c6a9769f5a46b9d0c0a64a3b7a681ec3aca8","observation_id":"55523763-2469-4fb9-9c78-8c96547b0495","resolution":{"observed_at":"2026-08-15T22:14:12.435808Z","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":"2026-08-15T22:14:12.441374Z","title":"The probability of backtest overfitting , issn =","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.441374Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:334352735fb9e8331194898cca577c2f41bc9057ff3a6b42b943d854f457f848","observation_id":"db95d1f0-3d0b-4a45-82b6-8ddf0cc8e1d8","resolution":{"observed_at":"2026-08-15T22:14:12.441374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.01271","last_updated":"2018-04-19T14:32:38Z","snapshot_observed_at":"2026-08-13T10:37:24.864456Z","submitted_at":"2018-03-04T00:20:29Z","title":"An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01271","snapshot_observed_at":"2026-08-15T22:14:12.446841Z","title":"Zico and Koltun, Vladlen , month = apr, year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.446841Z"},"links":{"cited_paper":"/paper/1803.01271","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:0f3c5f3eac3990276ef7cc1f2c652296b251c97a2ad63b4b7603e6b814ae24d8","observation_id":"24f3455d-5c5d-4cef-83b1-a610b7ac80db","resolution":{"observed_at":"2026-08-15T22:14:12.446841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-15T22:14:12.452184Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.452184Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:74ccf30ac584830873aba5c44f30c08cd2f33948e7ba2693ba9d67fcbdce18cf","observation_id":"9fe47032-a48b-4cb9-bf8f-1f149be559d0","resolution":{"observed_at":"2026-08-15T22:14:12.452184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-17T01:19:18.409791Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-15T22:14:12.458285Z","title":"and Kaiser, Lukasz and Polosukhin, Illia , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.458285Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:cc848078f1ae86cffa58d1bd70eb690009b0bce6339ed44df601a88d6e435ab6","observation_id":"c29da2a7-0179-4240-a8ad-c4d7a88b6914","resolution":{"observed_at":"2026-08-15T22:14:12.458285Z","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":"2026-08-15T22:14:14.253565Z","title":"2026 , note=","venue":null,"work_id":"d0830316-3902-47bf-8eae-e5ac5f164882","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.463927Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:52503440144891625831dc55f627ec15a4a6dad152736baa8a6cc0c0069f7f4b","observation_id":"9f06d17a-6522-4a87-85d8-e02118126828","resolution":{"observed_at":"2026-08-15T22:14:14.260149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:14.237126Z","title":null,"venue":null,"work_id":"99d1180f-d7fc-4c30-8504-cef3e6b300a0","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.469058Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:e11c5b0d6afe99c1fbe20c5a5621ca402a8356beed6fbbf18ab4d6e4b7c270c1","observation_id":"c406d12f-7297-4e9f-bf5e-8bd389289761","resolution":{"observed_at":"2026-08-15T22:14:14.242508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.16365","last_updated":"2026-04-09T09:57:53Z","snapshot_observed_at":"2026-08-11T11:08:56.566984Z","submitted_at":"2026-03-17T10:51:30Z","title":"FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment","version":2},"cited_work":{"arxiv_id":"2603.16365","doi":"10.48550/arxiv.2603.16365","metadata_source":"pith","pith_arxiv_id":"2603.16365","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment","venue":"cs.AI","work_id":"408f7acb-972b-4298-8bca-b183c3fc7746","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.474284Z"},"links":{"cited_paper":"/paper/2603.16365","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:272b8e6416ecd9dee042f84cc87100671e6e212d655ebf3b544a811dc92d2a3f","observation_id":"a6b20f78-e387-46db-ab2d-762efb84edfa","resolution":{"observed_at":"2026-08-15T22:14:13.571232Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.48550/arxiv.2602.11917","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:13.541036Z","title":"doi:10.48550/arXiv.2602.11917 , publisher =","venue":null,"work_id":"32764ae7-c6de-4100-a7cf-cec15dcd40b8","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.479612Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:679f87574cdbca23ff4c0ceacf96796eb21904858f95a2061b1a4946cfa1150e","observation_id":"33f23523-7f58-4d28-ac8f-4a86c5ba941d","resolution":{"observed_at":"2026-08-15T22:14:13.546160Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.48550/arxiv.2602.14670","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:13.470023Z","title":"doi:10.48550/arXiv.2602.14670 , publisher =","venue":null,"work_id":"4ac9252a-5318-4762-9c7d-a5a041f44b6b","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.484337Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:60071977cfcbdadb3a7108e42e945faa4c873e8053ca6c10101621b78d4dfe46","observation_id":"4789eb68-466a-477d-b124-72f4450b00d3","resolution":{"observed_at":"2026-08-15T22:14:13.475936Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.09601","last_updated":"2026-04-14T05:41:22Z","snapshot_observed_at":"2026-08-13T09:17:34.810943Z","submitted_at":"2026-03-09T05:21:00Z","title":"Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.09601","snapshot_observed_at":"2026-08-15T22:14:12.489250Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.489250Z"},"links":{"cited_paper":"/paper/2604.09601","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:257b1436d9dae6d3a2fad7fa10620f3b6079885d69acc976c3c5d9956088dde4","observation_id":"808702c7-fbe9-4c83-8e97-03f6aaa41ea7","resolution":{"observed_at":"2026-08-15T22:14:12.489250Z","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":"10.48550/arxiv.2603.20247","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:13.361066Z","title":"doi:10.48550/arXiv.2603.20247 , publisher =","venue":null,"work_id":"a93fd180-3649-45f3-a3f2-d9d436c103e9","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.494251Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:4ddf24ca53329bc5f613b56c77c13011fd621898a72709bae280a8d76d2dd515","observation_id":"7a882c17-af19-4237-8172-9e472a5a1e30","resolution":{"observed_at":"2026-08-15T22:14:13.367987Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.20625","last_updated":"2026-05-26T15:48:09Z","snapshot_observed_at":"2026-08-16T13:01:24.111624Z","submitted_at":"2026-05-26T15:48:09Z","title":"AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents","version":1},"cited_work":{"arxiv_id":"2606.20625","doi":"10.48550/arxiv.2606.20625","metadata_source":"pith","pith_arxiv_id":"2606.20625","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents","venue":"cs.AI","work_id":"a887ee8a-aea4-44a7-9549-28047e71de4c","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.499122Z"},"links":{"cited_paper":"/paper/2606.20625","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:73877c710b596f7ea8c66b0715904210a215cc057e1de84ea001bd2ab6a54bca","observation_id":"cadb4b47-bd3f-49a0-abdf-512131dca573","resolution":{"observed_at":"2026-08-15T22:14:13.289202Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.15412","last_updated":"2026-05-14T20:54:40Z","snapshot_observed_at":"2026-08-17T04:53:15.890116Z","submitted_at":"2026-05-14T20:54:40Z","title":"From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.15412","snapshot_observed_at":"2026-08-15T22:14:12.505221Z","title":"and Li, Ying , month = may, year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.505221Z"},"links":{"cited_paper":"/paper/2605.15412","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:c5bb80e8521468d7f8c53b7168a615894c95e83698cb05eb429bed49ad53fc87","observation_id":"015d67b1-8258-4a82-9c8d-b4c900f82cc0","resolution":{"observed_at":"2026-08-15T22:14:12.505221Z","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":"2026-08-15T22:14:12.510489Z","title":"The Review of Financial Studies , author =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.510489Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:177b7610f491176846e6d4beec82f56cb565936fd256df8d74cd57743edb5bd3","observation_id":"c3597b02-9ac4-4644-b6d6-e99f730db957","resolution":{"observed_at":"2026-08-15T22:14:12.510489Z","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":"2026-08-15T22:14:12.515425Z","title":"Review of Financial Studies , author =","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.515425Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:2ddec324942d7931841504a5d478c8e0aeee480a16086926f3294cabb7edad64","observation_id":"6b2ee9b7-6d9a-403f-bb0b-6a84f13555b0","resolution":{"observed_at":"2026-08-15T22:14:12.515425Z","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":"2026-08-15T22:14:12.520934Z","title":"Neural Computation , author =","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.520934Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:c8ba8fd8336eaa35c59bdab6ac34f8fb95d987347da724393719c35de291f251","observation_id":"9cdcdbf1-c361-453b-9eec-6e2fdc855b39","resolution":{"observed_at":"2026-08-15T22:14:12.520934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1078","last_updated":"2014-09-03T00:25:02Z","snapshot_observed_at":"2026-08-15T13:36:27.756066Z","submitted_at":"2014-06-03T17:47:08Z","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1078","snapshot_observed_at":"2026-08-15T22:14:12.526222Z","title":"Learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.526222Z"},"links":{"cited_paper":"/paper/1406.1078","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:d36bc92068f018173997ffca31782eac44e183b2f5f57654a83f4e77afb8d907","observation_id":"3892daeb-f099-412d-b8a6-913ee0c3224c","resolution":{"observed_at":"2026-08-15T22:14:12.526222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04517","last_updated":"2024-12-06T15:42:07Z","snapshot_observed_at":"2026-08-16T13:54:34.627474Z","submitted_at":"2024-05-07T17:50:21Z","title":"xLSTM: Extended Long Short-Term Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04517","snapshot_observed_at":"2026-08-15T22:14:12.531369Z","title":"doi:10.48550/arXiv.2405.04517 , publisher =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.531369Z"},"links":{"cited_paper":"/paper/2405.04517","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:1e32ad5dd9e714e04b1c7e298a8818f31d3624d23cb430269b2f4a04e34eb9ed","observation_id":"e8bb3a87-b249-4f1d-8152-66c9e1dd1797","resolution":{"observed_at":"2026-08-15T22:14:12.531369Z","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":"2026-08-15T22:14:12.536438Z","title":"Nature , author =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.536438Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:e381baa6fc228a50d63a251b27993e3095b3fad1847b29b5346a6e93a08f0905","observation_id":"cfa2fffe-74a7-4b6d-b8de-f0e7bd3dd106","resolution":{"observed_at":"2026-08-15T22:14:12.536438Z","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":"2026-08-15T22:14:12.541416Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , author =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.541416Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:41f30c0aa3108c0b0f2cc4ea954e7a87fa303ab4f51c40b0cfaa743105e9b84a","observation_id":"0d8ffd47-0c27-460e-89c6-a4b99ebcda35","resolution":{"observed_at":"2026-08-15T22:14:12.541416Z","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":"2025.35767","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:14.144787Z","title":"doi:10.1109/TSP.2025.3576781 , journal =","venue":null,"work_id":"46927cf3-9ac2-4f12-b56e-7a67786a0c7c","year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.546310Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:ce19333a95d65147877b80f40c1917098ffbf1630d2b14f1d92a3c42139dbcb0","observation_id":"da9519b8-da6b-4ec1-96e6-bab16a9096e4","resolution":{"observed_at":"2026-08-15T22:14:14.152791Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:12.551129Z","title":"doi:10.1145/3711896.3736838 , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.551129Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:0ebeacf9b5ba7954cf786041f4776ef2b0ec8c90f06be1d98467937882aeb833","observation_id":"8cec9f00-195e-4c07-85ae-92613e985770","resolution":{"observed_at":"2026-08-15T22:14:12.551129Z","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":"2026-08-15T22:14:12.555976Z","title":"doi:10.1109/ICASSP55912.2026.11463591 , booktitle =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.555976Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:65416347c1f56a9cc5f68a8826d4d5c19d0d5c1ae8fbe5e66880fb11a81624c4","observation_id":"f2963326-4e1a-435a-b6ad-dbc238843dfb","resolution":{"observed_at":"2026-08-15T22:14:12.555976Z","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":"10.48550/arxiv.2508.06312","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:13.141244Z","title":"Chain-of-","venue":null,"work_id":"6de7827e-877d-4b01-84a7-bcd274b6a5eb","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.560679Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:4fded1e0f0e73bee3ba329a9eb62d2fadd9ebddbbe57d87771fa4c4c261c5a77","observation_id":"16e344b9-db74-4b9b-b6e1-891b97ce3345","resolution":{"observed_at":"2026-08-15T22:14:13.146654Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.20263","last_updated":"2025-07-27T13:14:48Z","snapshot_observed_at":"2026-08-16T16:38:01.673342Z","submitted_at":"2025-07-27T13:14:48Z","title":"Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.20263","snapshot_observed_at":"2026-08-15T22:14:12.565598Z","title":"Learning from","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.565598Z"},"links":{"cited_paper":"/paper/2507.20263","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:e2f1eed143773ee7d1471af7e9b897279c0d1147f707f12e9253f7c6cda3c5ae","observation_id":"d5ae5aa8-89a5-4b2e-8b39-d3168c06a680","resolution":{"observed_at":"2026-08-15T22:14:12.565598Z","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":"2026-08-15T22:14:12.570758Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.570758Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:8aaf8b40af24e552aa151cbd14c12ea23ce710957fc68bd897bfc1ab0ede037e","observation_id":"7947d7c5-620c-4569-81c3-e74f78061549","resolution":{"observed_at":"2026-08-15T22:14:12.570758Z","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":"10.48550/arxiv.2510.15691","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:13.041036Z","title":"Exploring the","venue":null,"work_id":"75c043ef-95ac-47c0-a3ae-52c8afeb80cf","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.575667Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:769753b8964cbe38430a048b151a0039aa7865e95d4115f736ac3767aeb56e87","observation_id":"de4667c3-b4ab-4419-b9ed-8e8782d6dfe1","resolution":{"observed_at":"2026-08-15T22:14:13.046766Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.13662","last_updated":"2026-06-11T17:56:35Z","snapshot_observed_at":"2026-08-12T21:47:26.059361Z","submitted_at":"2026-06-11T17:56:35Z","title":"EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.13662","snapshot_observed_at":"2026-08-15T22:14:12.581033Z","title":"doi:10.48550/arXiv.2606.13662 , publisher =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.581033Z"},"links":{"cited_paper":"/paper/2606.13662","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:dad991c8af3b00e43e93d3c7381a38b340dc765861fce95660113a141af541fd","observation_id":"34dc652f-95d9-4628-819b-f1420d2b6165","resolution":{"observed_at":"2026-08-15T22:14:12.581033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.09901","last_updated":"2026-04-06T07:37:55Z","snapshot_observed_at":"2026-07-06T22:32:22.953630Z","submitted_at":"2025-10-10T22:26:26Z","title":"Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.09901","snapshot_observed_at":"2026-08-15T22:14:12.586921Z","title":"Autonomous","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.586921Z"},"links":{"cited_paper":"/paper/2510.09901","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:432d42f46e02de42ba982ac42ed93557c7d07515c421336fc46e901836b4740a","observation_id":"593f3293-0684-4276-a0ac-6121c85e01bd","resolution":{"observed_at":"2026-08-15T22:14:12.586921Z","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":"10.3905/jfds.2026.008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.919536Z","title":null,"venue":null,"work_id":"f94cec9e-5a70-491b-b0b1-8704e6bb820a","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.592150Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:b32916a55adc27dd004a5af7d3f3d9eef9fd264df550f64763b6776549dd238d","observation_id":"a2076432-6327-4359-a214-6c6b1530c1bd","resolution":{"observed_at":"2026-08-15T22:14:12.925073Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2139/ssrn.5580590","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.902948Z","title":"doi:10.2139/ssrn.5580590 , author =","venue":null,"work_id":"7956a191-b113-4f84-ab89-932bccb3228d","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.597470Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:2ab1853e2aa392e2e51f754e07e78ca54b3e4eef474aad9c638a1092071ff332","observation_id":"4c99400c-bfc3-4b91-a9d5-0e49ebb16001","resolution":{"observed_at":"2026-08-15T22:14:12.908152Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/sci7010007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.884870Z","title":"2025 , pages =","venue":null,"work_id":"0eeed7e4-f52d-4bc6-b3be-5c282ee915bc","year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.602121Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:322e775d16beeba28660a95c3f3132563bb5b99d473bb3a9ff62a40da533a245","observation_id":"2e8ef099-a137-4db1-b340-70ff491162af","resolution":{"observed_at":"2026-08-15T22:14:12.891013Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/jrfm19030203","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.868101Z","title":"Journal of Risk and Financial Management , author =","venue":null,"work_id":"8b7d4904-ac4c-4735-86da-503950792fd1","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.607069Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:0801e9ee68316dac2c5e3970e4e9660ed532407474d9a7ffc1dc427294079c28","observation_id":"ed9cf89d-bbed-4ba5-8810-19131f44a7d4","resolution":{"observed_at":"2026-08-15T22:14:12.873487Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/forecast7040055","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.850337Z","title":"Forecasting , author =","venue":null,"work_id":"349995bb-a6ac-4f46-8786-e47821322bec","year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.612520Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:d8b47e4cff6709346520f1427d675e0ed924bcdb0c0b5ee0ffad2bf29cd3d667","observation_id":"2de136e1-1108-4d3d-a3d5-d462d63f1228","resolution":{"observed_at":"2026-08-15T22:14:12.856331Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10626","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:13.856359Z","title":"Deep learning and machine learning models for portfolio optimization:","venue":null,"work_id":"1fbfd010-c481-44a7-9ab4-06d47986111c","year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.617426Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:6364006c18e3ceeef7192d9ca3def9a20380699f7db772054cd696b82f0379e1","observation_id":"56b713c3-efb2-4261-9b6a-b49580d304d6","resolution":{"observed_at":"2026-08-15T22:14:13.864885Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.procs.2025.12.015","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.832071Z","title":"Enhancing","venue":null,"work_id":"a1ddf1b3-41d0-48df-a585-cb7ebe7098f9","year":2025},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.622670Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:1984b9e84b9481c73d2fc3df2db132bbe288749238d0fefde736a47e1f45abcb","observation_id":"e5907b98-5ba0-4b9b-87f3-3cf4cd4e5170","resolution":{"observed_at":"2026-08-15T22:14:12.837772Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2139/ssrn.6085266","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.813659Z","title":"doi:10.2139/ssrn.6085266 , author =","venue":null,"work_id":"59a89146-712a-46df-8893-21e7b96578d7","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.629062Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:7137b80278d0d3d6d4508c1e105dacd8e77b42f96a233dfa1ff929f973aa9c65","observation_id":"ac622067-03ad-4331-84c6-c5061bd72e3b","resolution":{"observed_at":"2026-08-15T22:14:12.819427Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:14:12.634320Z","title":"doi:10.2139/ssrn.5166656 , author =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.634320Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:82df8af949852962959e304d53e97bca45bba978c9785440558a12165787a63c","observation_id":"ff0169e4-9d6d-4b7c-abe3-189b4f733872","resolution":{"observed_at":"2026-08-15T22:14:12.634320Z","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":"10.2139/ssrn.6906675","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:14:12.786320Z","title":"doi:10.2139/ssrn.6906675 , author =","venue":null,"work_id":"2ff6da3d-ee09-410d-8ef9-6bc193029a91","year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.639469Z"},"links":{"citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:4126da05b2eda382cccb61e01538c34c044bb851de9b2d937b3e5a593367c00e","observation_id":"28619646-db8a-4185-bd68-76bc781c00c6","resolution":{"observed_at":"2026-08-15T22:14:12.791477Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.26747","last_updated":"2026-04-29T14:46:10Z","snapshot_observed_at":"2026-08-15T06:23:29.353978Z","submitted_at":"2026-04-29T14:46:10Z","title":"From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets","version":1},"cited_work":{"arxiv_id":"2604.26747","doi":"10.48550/arxiv.2604.26747","metadata_source":"pith","pith_arxiv_id":"2604.26747","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets","venue":"q-fin.PM","work_id":"3517050f-41cf-4ea1-a329-34be3f426c1b","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.644224Z"},"links":{"cited_paper":"/paper/2604.26747","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:25460b880f7e5926e01dd0a7d189b2abeadfdb924a243d85d48499612c1e6d3e","observation_id":"cbcf93c7-94fd-4576-a2ed-47fd140c5273","resolution":{"observed_at":"2026-08-15T22:14:12.774905Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2607.26642","last_updated":"2026-07-29T09:04:25Z","snapshot_observed_at":"2026-08-15T08:16:49.984586Z","submitted_at":"2026-07-29T09:04:25Z","title":"AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining","version":1},"cited_work":{"arxiv_id":"2607.26642","doi":"10.48550/arxiv.2607.26642","metadata_source":"pith","pith_arxiv_id":"2607.26642","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining","venue":"cs.AI","work_id":"898e9241-e1fe-4d47-9016-d5438748a2ed","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.649482Z"},"links":{"cited_paper":"/paper/2607.26642","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:96885a4d82a8a6c2e13428337829f707b28ca0de7ba74564ea2b7eee8d51289d","observation_id":"87d6f0ba-0f46-4e69-bb9e-afee8e37ca2e","resolution":{"observed_at":"2026-08-15T22:14:12.751205Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.18850","last_updated":"2026-07-11T07:17:04Z","snapshot_observed_at":"2026-08-03T20:41:24.576766Z","submitted_at":"2025-11-24T07:45:59Z","title":"Cognitive Alpha Mining via LLM-Driven Code-Based Evolution","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.18850","snapshot_observed_at":"2026-08-15T22:14:12.654762Z","title":"Cognitive Alpha Mining via LLM-Driven Code-Based Evolution , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.654762Z"},"links":{"cited_paper":"/paper/2511.18850","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:a6cb86e0fd8992704ec21fe38b221259922dedc5a8c513e5a26740a184d13371","observation_id":"bcca0885-d8d6-4cb8-9798-13b2c0896a81","resolution":{"observed_at":"2026-08-15T22:14:12.654762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2608.01789","last_updated":"2026-08-03T07:02:24Z","snapshot_observed_at":"2026-08-15T07:15:03.734514Z","submitted_at":"2026-08-03T07:02:24Z","title":"Towards Autonomous Formulaic Alpha Discovery: An Evolutionary Computation Perspective","version":1},"cited_work":{"arxiv_id":"2608.01789","doi":"10.48550/arxiv.2608.01789","metadata_source":"pith","pith_arxiv_id":"2608.01789","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"Towards Autonomous Formulaic Alpha Discovery: An Evolutionary Computation Perspective","venue":"cs.NE","work_id":"73b39e34-f219-4a80-a5cf-3e0c55996f80","year":2026},"citing_paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:12.659861Z"},"links":{"cited_paper":"/paper/2608.01789","citing_paper":"/paper/2608.12841"},"observation_digest":"sha256:e4ea2ff6a557527ce43c211330b5eb28529efb93811795eb141a67c6f00fe230","observation_id":"644d1471-d813-4323-9535-260af9191680","resolution":{"observed_at":"2026-08-15T22:14:12.708626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.12841","last_updated":"2026-08-13T05:25:42Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T23:11:07.808310Z","submitted_at":"2026-08-13T05:25:42Z","title":"AQuA: Recursively Self-Improving Quantitative Trading Research Agents"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":29,"verified_exact":16,"verified_fuzzy":5},"total_outbound_references":55},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.12841."}