Paper Citation Record · LEDGER

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2507.20263.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.20263 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:48:53.428642Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:14:12.565598Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T21:50:41.269928Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy25
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a36d74d-66cc-4f0e-a60e-5c37ec5070c1 · outbound

This paper cites Saoftrl: A novel adaptive algorithmic framework for enhancing online portfolio selection,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Saoftrl: A novel adaptive algorithmic framework for enhancing online portfolio selection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:04.411240Z

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Observation 16135359-ee9c-4f15-bf34-25c0f2619ffc · outbound

This paper cites Optimal mean-reverting port- folio with leverage constraint for statistical arbitrage in finance,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Optimal mean-reverting port- folio with leverage constraint for statistical arbitrage in finance,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:03.960343Z

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Observation 53ad42d5-1485-45bd-bf66-d6d71076d018 · outbound

This paper cites Mean-reverting portfolio with budget constraint,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Mean-reverting portfolio with budget constraint,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:03.604744Z

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Observation ab21ba52-0414-46f8-9ce4-45aacf6dce32 · outbound

This paper cites 101 formulaic alphas,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining 101 formulaic alphas,

Reference 4

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Source-reported events for the cited work

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Observation a0dbdf02-4e7e-4390-b368-1592c8646543 · outbound

This paper cites Openfe: automated feature generation with expert-level per- formance,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Openfe: automated feature generation with expert-level per- formance,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:03.228335Z

Source-reported events for the cited work

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Observation 8d69ac73-27c3-4962-b659-3ab4b551729f · outbound

This paper cites Application research of the xgboost-svm combina- tion model in quantitative investment strategy,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Application research of the xgboost-svm combina- tion model in quantitative investment strategy,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:02.964752Z

Source-reported events for the cited work

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Observation 486158a6-06ee-4abb-9bb4-c21b72778388 · outbound

This paper cites Research on multi factor stock selection model based on lightgbm and bayesian optimization,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Research on multi factor stock selection model based on lightgbm and bayesian optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:02.664884Z

Source-reported events for the cited work

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Observation 60edc6d0-f206-4439-85ab-08c73374a2b1 · outbound

This paper cites Accurate label refinement from multiannotator of remote sensing data,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Accurate label refinement from multiannotator of remote sensing data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:02.254823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb86c464-54dc-4237-8caa-b7cff736a199 · outbound

This paper cites Multiscale temporal dynamic learning for time series classification,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Multiscale temporal dynamic learning for time series classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:01.902712Z

Source-reported events for the cited work

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Observation 036482ee-bd23-4c57-ade5-f5d9da87cdce · outbound

This paper cites Q-learning-based spec- trum access for multimedia transmission over cognitive radio networks,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Q-learning-based spec- trum access for multimedia transmission over cognitive radio networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:01.292961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf5da443-33a6-4069-9516-0edf13908587 · outbound

This paper cites Long short-term memory,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Long short-term memory,

Reference 11

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Observation 7b24b2b6-6699-41f1-8bb8-869ca23c3d63 · outbound

This paper cites Attention is all you need,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Attention is all you need,

Reference 12

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Source-reported events for the cited work

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Observation 43612792-4c59-4de3-a1ea-7df139eed65e · outbound

This paper cites Prediction of small-molecule compound solu- bility in organic solvents by machine learning algorithms,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Prediction of small-molecule compound solu- bility in organic solvents by machine learning algorithms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:00.794875Z

Source-reported events for the cited work

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Observation 55a8ee4b-abb9-4203-95c2-600527580a30 · outbound

This paper cites AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment

Reference 14

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Observation 26380ba5-91dc-47eb-9a9a-7e5ff4d272be · outbound

This paper cites Generating synergistic formulaic alpha collections via reinforcement learning,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Generating synergistic formulaic alpha collections via reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:00.324938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02cae88a-96b7-475c-8bdf-b4326deaf14c · outbound

This paper cites Quantfactor reinforce: Mining steady formulaic alpha factors with variance-bounded reinforce,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Quantfactor reinforce: Mining steady formulaic alpha factors with variance-bounded reinforce,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:49:00.038201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7377c4fb-69fe-4c11-9d00-a0aaeb270c26 · outbound

This paper cites Policy invariance under reward transformations: Theory and application to reward shaping,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Policy invariance under reward transformations: Theory and application to reward shaping,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:59.762606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93556ff4-5f0b-427a-913e-001b6432cd63 · outbound

This paper cites Principled methods for advising reinforcement learning agents,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Principled methods for advising reinforcement learning agents,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:59.423356Z

Source-reported events for the cited work

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Observation 3f270989-9353-4c1d-9951-76935d2d7ce9 · outbound

This paper cites Reinforcement learning from demonstration through shaping,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Reinforcement learning from demonstration through shaping,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:59.152060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36b87f15-58b1-40f1-b09a-e397ac252259 · outbound

This paper cites Artificial intelligence stock selection: Generalized linear model,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Artificial intelligence stock selection: Generalized linear model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:58.644740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 37ca507a-aa80-42e8-bc63-1dcb26d9c0b5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Proximal Policy Optimization Algorithms

Reference 21

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Observation 4fb1fb80-4375-4499-b491-c7e16d1b0268 · outbound

This paper cites Robot shaping: Developing autonomous agents through learning,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Robot shaping: Developing autonomous agents through learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:58.257666Z

Source-reported events for the cited work

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Observation 35598bd5-1049-460a-aa2d-4abb6dca4ec1 · outbound

This paper cites A cold-start-free reinforce- ment learning approach for traffic signal control,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining A cold-start-free reinforce- ment learning approach for traffic signal control,

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92b1661f-b6e2-4171-9808-0923a857b095 · outbound

This paper cites an unresolved cited work.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Unresolved cited work

Reference 24

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Observation a603f713-12fa-4d21-85e7-904567d212b5 · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining The arcade learning environment: An evaluation platform for general agents,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:57.274870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c67883d7-dc90-412b-852f-80a70cf81382 · outbound

This paper cites A survey of robot learning from demonstration,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining A survey of robot learning from demonstration,

Reference 26

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Source-reported events for the cited work

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Observation 7a080c92-d815-453d-93ec-ed7e9b297bc1 · outbound

This paper cites Apprenticeship learning via inverse rein- forcement learning,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Apprenticeship learning via inverse rein- forcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:56.773524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 298f04dc-ee4c-43b2-a040-7f473ed3b31f · outbound

This paper cites Multi-resolution exploration in continuous spaces,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Multi-resolution exploration in continuous spaces,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:56.324818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb283bbb-adf1-449b-9f61-4cdf92d2d4c5 · outbound

This paper cites Maximum entropy inverse reinforcement learning.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Maximum entropy inverse reinforcement learning

Reference 29

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Source-reported events for the cited work

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Observation 2b7c45cc-fe2f-4be4-a79b-4aa3dca2b0cd · outbound

This paper cites From mimic to counteract: a two-stage reinforcement learning algorithm for google research football,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining From mimic to counteract: a two-stage reinforcement learning algorithm for google research football,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:55.569341Z

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Observation 59420191-8ae8-4c6a-afd2-a5b37e8bde14 · outbound

This paper cites Learning continuous semantic representations of symbolic expressions,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Learning continuous semantic representations of symbolic expressions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:55.306444Z

Source-reported events for the cited work

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Observation 4535117f-df57-4af2-9837-47ca0f6d0c85 · outbound

This paper cites Reward Centering.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Reward Centering

Reference 32

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This paper cites Stephens.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Stephens

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:54.914859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f2afa1e-a017-463f-96f4-0b212e195ba7 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementa- tions,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Stable-baselines3: Reliable reinforcement learning implementa- tions,

Reference 34

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Observation cbdf4205-1c33-452d-aff4-f66689ea37fe · outbound

This paper cites Qlib: An AI-oriented Quantitative Investment Platform.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Qlib: An AI-oriented Quantitative Investment Platform

Reference 35

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Source-reported events for the cited work

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Observation d87a0eba-9268-4cb5-8535-88def80396a8 · outbound

This paper cites Learning repre- sentations by back-propagating errors,.

Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining Learning repre- sentations by back-propagating errors,

Reference 36

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Pith citing papers

Observation 61e2ad78-4e4d-472b-a5d8-ecbb876efbb6 · inbound

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining cites this paper.

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining

Reference 28

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Source-reported events for the cited work

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Observation 2a23f9dc-83e3-4267-853f-68157115cbbf · inbound

AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration cites this paper.

AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:50:41.272196Z

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Observation d5ae5aa8-89a5-4b2e-8b39-d3168c06a680 · inbound

AQuA: Recursively Self-Improving Quantitative Trading Research Agents cites this paper.

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

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