{"as_of":"2026-08-17T17:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:df3cffa47132fcd7a72b1a2995710c2b47aba7144a341a8e9a2dac4c6c9a4962","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:18:08.958683Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T21:50:41.264803Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.16505","last_updated":"2024-06-26T07:40:12Z","snapshot_observed_at":"2026-08-17T06:33:09.959005Z","submitted_at":"2024-06-24T10:21:29Z","title":"$\\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16505","snapshot_observed_at":"2026-08-05T22:18:08.958683Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13174","last_updated":"2026-06-02T13:19:43Z","snapshot_observed_at":"2026-08-17T09:10:10.857234Z","submitted_at":"2025-08-10T11:19:24Z","title":"AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:18:08.958683Z"},"links":{"cited_paper":"/paper/2406.16505","citing_paper":"/paper/2508.13174"},"observation_digest":"sha256:355378c08a6610ba29e4a89169b03da45e2d5a8084fa516e1b949ffbbbfd5e6c","observation_id":"b96d9e14-4215-4154-9e89-971d6256780a","resolution":{"observed_at":"2026-08-05T22:18:08.958683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16505","last_updated":"2024-06-26T07:40:12Z","snapshot_observed_at":"2026-08-17T06:33:09.959005Z","submitted_at":"2024-06-24T10:21:29Z","title":"$\\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2406.16505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.16505","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"\\ text\\ Alpha \\ 2\\ : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning , June 2024","venue":null,"work_id":"2a499182-3fe1-4708-9cc2-92bb809f27a2","year":2024},"citing_paper":{"arxiv_id":"2509.25055","last_updated":"2026-05-19T05:55:24Z","snapshot_observed_at":"2026-08-16T16:11:40.223372Z","submitted_at":"2025-09-29T17:06:07Z","title":"AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-21T21:50:26.812048Z"},"links":{"cited_paper":"/paper/2406.16505","citing_paper":"/paper/2509.25055"},"observation_digest":"sha256:d4e0f626643938d6c9bce028774800c6ffcac9f23087f38dfac307205377ac5e","observation_id":"8ee1ce6a-3fde-4c58-94fa-845cab8b4d1c","resolution":{"observed_at":"2026-05-21T21:50:41.267662Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16505","last_updated":"2024-06-26T07:40:12Z","snapshot_observed_at":"2026-08-17T06:33:09.959005Z","submitted_at":"2024-06-24T10:21:29Z","title":"$\\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2406.16505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.16505","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"\\ text\\ Alpha \\ 2\\ : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning , June 2024","venue":null,"work_id":"2a499182-3fe1-4708-9cc2-92bb809f27a2","year":2024},"citing_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},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T14:45:07.168330Z"},"links":{"cited_paper":"/paper/2406.16505","citing_paper":"/paper/2605.15412"},"observation_digest":"sha256:68deb4026d0e6e0b8b0d120a55ff01cf8fca1e74c7015117e4696e75c369f9c0","observation_id":"e4baaaae-e0f3-47c6-826a-6d6693f28192","resolution":{"observed_at":"2026-05-19T14:47:36.217241Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16505","last_updated":"2024-06-26T07:40:12Z","snapshot_observed_at":"2026-08-17T06:33:09.959005Z","submitted_at":"2024-06-24T10:21:29Z","title":"$\\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16505","snapshot_observed_at":"2026-08-04T20:52:57.835482Z","title":"Alpha2: Dis- covering logical formulaic alphas using deep reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_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},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T20:52:57.835482Z"},"links":{"cited_paper":"/paper/2406.16505","citing_paper":"/paper/2608.01789"},"observation_digest":"sha256:ede4892ffad0efde1c5ac8cf0b7f2c943fd4f635303b23dc576e2562e716691a","observation_id":"41861034-098f-4abd-9420-6cc42b6aa121","resolution":{"observed_at":"2026-08-04T20:52:57.835482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.16505/citation-record","integrity":"/paper/2406.16505/integrity","json":"/paper/2406.16505/citation-record.json","paper":"/paper/2406.16505"},"outbound":[],"paper":{"arxiv_id":"2406.16505","last_updated":"2024-06-26T07:40:12Z","latest_version":2,"primary_category":"q-fin.CP","snapshot_observed_at":"2026-08-17T06:33:09.959005Z","submitted_at":"2024-06-24T10:21:29Z","title":"$\\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.16505."}