Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:14:12.659861Z
Paper Citation Record · LEDGER
AQuA: Recursively Self-Improving Quantitative Trading Research Agents
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact16
- verified fuzzy5
- unresolved29
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3836d9d5-9928-4fa1-a341-058b17ed44fc · outbound
This paper cites Proceedings of the 32nd International Conference on Machine Learning , series =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Proceedings of the 32nd International Conference on Machine Learning , series =
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:14:14.333081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 35bf828a-ff72-41b6-ac1f-8ae196e2bdcc · outbound
This paper cites 2024 , doi =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents 2024 , doi =
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:14:14.314458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c085224-c4c6-42d3-b6fa-f453adec84cd · outbound
This paper cites 2025 , doi =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents 2025 , doi =
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:14:14.296321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 072ebc16-3b10-4948-92cf-5eae400b8035 · outbound
This paper cites 2026 , doi =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents 2026 , doi =
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:14:14.279109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa62b863-8fc0-4ae7-9484-eae986c4c6d9 · outbound
This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.394143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a1fa2b4-bba2-4e10-bf32-9399cbd7d921 · outbound
This paper cites QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.400037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15071457-af5a-40e9-b571-41fe5cf554a5 · outbound
This paper cites DeepLOB: Deep Convolutional Neural Networks for Limit Order Books.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.405794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a267b815-0df6-422e-bdd8-a04b973116b7 · outbound
This paper cites 101 Formulaic Alphas.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents 101 Formulaic Alphas
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.411508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f3cbceb-e021-452f-91b5-2bfb1acc1c72 · outbound
This paper cites AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.418198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c3e2308-4210-46a5-8b50-e97b855da29b · outbound
This paper cites doi:10.1145/3448016.3457324 , booktitle =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.1145/3448016.3457324 , booktitle =
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.423941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba93d070-1d42-4f41-84e3-e4457e7efe2f · outbound
This paper cites Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T22:14:13.676139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55523763-2469-4fb9-9c78-8c96547b0495 · outbound
This paper cites Notices of the American Mathematical Society , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Notices of the American Mathematical Society , author =
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.435808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db95d1f0-3d0b-4a45-82b6-8ddf0cc8e1d8 · outbound
This paper cites The probability of backtest overfitting , issn =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents The probability of backtest overfitting , issn =
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.441374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24f3455d-5c5d-4cef-83b1-a610b7ac80db · outbound
This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.446841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fe47032-a48b-4cb9-bf8f-1f149be559d0 · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.452184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c29da2a7-0179-4240-a8ad-c4d7a88b6914 · outbound
This paper cites Attention Is All You Need.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Attention Is All You Need
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.458285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f06d17a-6522-4a87-85d8-e02118126828 · outbound
This paper cites 2026 , note=.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents 2026 , note=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:14:14.260149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c406d12f-7297-4e9f-bf5e-8bd389289761 · outbound
This paper cites an unresolved cited work.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:14:14.242508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6b20f78-e387-46db-ab2d-762efb84edfa · outbound
This paper cites FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T22:14:13.571232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 33f23523-7f58-4d28-ac8f-4a86c5ba941d · outbound
This paper cites doi:10.48550/arXiv.2602.11917 , publisher =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.48550/arXiv.2602.11917 , publisher =
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:13.546160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4789eb68-466a-477d-b124-72f4450b00d3 · outbound
This paper cites doi:10.48550/arXiv.2602.14670 , publisher =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.48550/arXiv.2602.14670 , publisher =
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:13.475936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 808702c7-fbe9-4c83-8e97-03f6aaa41ea7 · outbound
This paper cites Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.489250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a882c17-af19-4237-8172-9e472a5a1e30 · outbound
This paper cites doi:10.48550/arXiv.2603.20247 , publisher =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.48550/arXiv.2603.20247 , publisher =
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:13.367987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cadb4b47-bd3f-49a0-abdf-512131dca573 · outbound
This paper cites AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T22:14:13.289202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 015d67b1-8258-4a82-9c8d-b4c900f82cc0 · outbound
This paper cites From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.505221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3597b02-9ac4-4644-b6d6-e99f730db957 · outbound
This paper cites The Review of Financial Studies , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents The Review of Financial Studies , author =
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.510489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b2ee9b7-6d9a-403f-bb0b-6a84f13555b0 · outbound
This paper cites Review of Financial Studies , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Review of Financial Studies , author =
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.515425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cdcdbf1-c361-453b-9eec-6e2fdc855b39 · outbound
This paper cites Neural Computation , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Neural Computation , author =
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.520934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3892daeb-f099-412d-b8a6-913ee0c3224c · outbound
This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.526222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8bb3a87-b249-4f1d-8152-66c9e1dd1797 · outbound
This paper cites xLSTM: Extended Long Short-Term Memory.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents xLSTM: Extended Long Short-Term Memory
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.531369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfa2fffe-74a7-4b6d-b8de-f0e7bd3dd106 · outbound
This paper cites Nature , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Nature , author =
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.536438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d8ffd47-0c27-460e-89c6-a4b99ebcda35 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Proceedings of the AAAI Conference on Artificial Intelligence , author =
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.541416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da9519b8-da6b-4ec1-96e6-bab16a9096e4 · outbound
This paper cites doi:10.1109/TSP.2025.3576781 , journal =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.1109/TSP.2025.3576781 , journal =
Reference 33
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T22:14:14.152791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8cec9f00-195e-4c07-85ae-92613e985770 · outbound
This paper cites doi:10.1145/3711896.3736838 , booktitle =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.1145/3711896.3736838 , booktitle =
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.551129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2963326-4e1a-435a-b6ad-dbc238843dfb · outbound
This paper cites doi:10.1109/ICASSP55912.2026.11463591 , booktitle =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.1109/ICASSP55912.2026.11463591 , booktitle =
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.555976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16e344b9-db74-4b9b-b6e1-891b97ce3345 · outbound
This paper cites Chain-of-.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Chain-of-
Reference 36
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:13.146654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d5ae5aa8-89a5-4b2e-8b39-d3168c06a680 · outbound
This paper cites Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.565598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7947d7c5-620c-4569-81c3-e74f78061549 · outbound
This paper cites an unresolved cited work.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.570758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de4667c3-b4ab-4419-b9ed-8e8782d6dfe1 · outbound
This paper cites Exploring the.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Exploring the
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:13.046766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34dc652f-95d9-4628-819b-f1420d2b6165 · outbound
This paper cites EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.581033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 593f3293-0684-4276-a0ac-6121c85e01bd · outbound
This paper cites Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.586921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2076432-6327-4359-a214-6c6b1530c1bd · outbound
This paper cites an unresolved cited work.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Unresolved cited work
Reference 42
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.925073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c99400c-bfc3-4b91-a9d5-0e49ebb16001 · outbound
This paper cites doi:10.2139/ssrn.5580590 , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.2139/ssrn.5580590 , author =
Reference 43
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.908152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e8ef099-a137-4db1-b340-70ff491162af · outbound
This paper cites 2025 , pages =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents 2025 , pages =
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.891013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed9cf89d-bbed-4ba5-8810-19131f44a7d4 · outbound
This paper cites Journal of Risk and Financial Management , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Journal of Risk and Financial Management , author =
Reference 45
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.873487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2de136e1-1108-4d3d-a3d5-d462d63f1228 · outbound
This paper cites Forecasting , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Forecasting , author =
Reference 46
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.856331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56b713c3-efb2-4261-9b6a-b49580d304d6 · outbound
This paper cites Deep learning and machine learning models for portfolio optimization:.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Deep learning and machine learning models for portfolio optimization:
Reference 47
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T22:14:13.864885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5907b98-5ba0-4b9b-87f3-3cf4cd4e5170 · outbound
This paper cites Enhancing.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Enhancing
Reference 48
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.837772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac622067-03ad-4331-84c6-c5061bd72e3b · outbound
This paper cites doi:10.2139/ssrn.6085266 , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.2139/ssrn.6085266 , author =
Reference 49
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.819427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff0169e4-9d6d-4b7c-abe3-189b4f733872 · outbound
This paper cites doi:10.2139/ssrn.5166656 , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.2139/ssrn.5166656 , author =
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.634320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28619646-db8a-4185-bd68-76bc781c00c6 · outbound
This paper cites doi:10.2139/ssrn.6906675 , author =.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents doi:10.2139/ssrn.6906675 , author =
Reference 51
- Resolution
- verified exact
- doi, observed 2026-08-15T22:14:12.791477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbcf93c7-94fd-4576-a2ed-47fd140c5273 · outbound
This paper cites From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T22:14:12.774905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 87d6f0ba-0f46-4e69-bb9e-afee8e37ca2e · outbound
This paper cites AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T22:14:12.751205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bcca0885-d8d6-4cb8-9798-13b2c0896a81 · outbound
This paper cites Cognitive Alpha Mining via LLM-Driven Code-Based Evolution.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Cognitive Alpha Mining via LLM-Driven Code-Based Evolution
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.654762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 644d1471-d813-4323-9535-260af9191680 · outbound
This paper cites Towards Autonomous Formulaic Alpha Discovery: An Evolutionary Computation Perspective.
AQuA: Recursively Self-Improving Quantitative Trading Research Agents Towards Autonomous Formulaic Alpha Discovery: An Evolutionary Computation Perspective
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T22:14:12.708626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.