Paper Citation Record · LEDGER

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading

As of 6 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2510.14264.

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

pith.paper-citation-record.v1
2510.14264 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:55:50.287160Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact5
verified fuzzy10
unresolved0
parse uncertain0
malformed identifier2
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd4c3ec8-844f-4068-b57e-543342fce9ef · outbound

This paper cites Learning representations by back-propagating errors.nature, 323(6088):533–536.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Learning representations by back-propagating errors.nature, 323(6088):533–536

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.741632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db6e5813-3e1d-4968-b75c-40d9beb6b7cf · outbound

This paper cites Support-vector networks.Machine learning, 20(3): 273–297.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Support-vector networks.Machine learning, 20(3): 273–297

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.730002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 866c89aa-d258-42fc-9775-a6c5fefa435f · outbound

This paper cites Random forests.Machine learning, 45(1):5–32.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Random forests.Machine learning, 45(1):5–32

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.721005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ee2e7241-cbcc-402a-85bf-5240d7d4af59 · outbound

This paper cites Reinforcement learning for trading.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Reinforcement learning for trading

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.725324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4a67bece-7e7f-4ff7-b281-4ca0386d5187 · outbound

This paper cites Deeptrader: a deep reinforce- ment learning approach for risk-return balanced portfolio management with market conditions embedding.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Deeptrader: a deep reinforce- ment learning approach for risk-return balanced portfolio management with market conditions embedding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.712155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f61b116-846a-44f5-a1f4-8603d8fe8936 · outbound

This paper cites TradingAgents: Multi-Agents LLM Financial Trading Framework.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:00.812350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f2e71900-b842-4cfc-953d-db4d64fc3f71 · outbound

This paper cites A multimodal 9 foundation agent for financial trading: Tool-augmented, diversified, and generalist.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading A multimodal 9 foundation agent for financial trading: Tool-augmented, diversified, and generalist

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:00.610902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d9c80896-3d89-4cdc-aa4e-02d6e001625f · outbound

This paper cites org/abs/2308.00016.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading org/abs/2308.00016

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:00.792298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fce868b5-0840-4e36-9eeb-a543a4d991b1 · outbound

This paper cites Narasimhan, and Yuan Cao.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Narasimhan, and Yuan Cao

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.716391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6233f61d-0742-44e3-b130-b9de3020b84b · outbound

This paper cites URLhttps://openreview.net/forum?id=WE_vluYUL-X.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading URLhttps://openreview.net/forum?id=WE_vluYUL-X

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.734935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c2dfe8b7-e6cf-4d2d-b238-13e484cabb80 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:56:00.778782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 66451e8b-f1a0-4062-95f4-bf5f768e059f · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:56:00.768159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f659e2ed-19cf-4713-8223-4c59400b19d4 · outbound

This paper cites Advancements and applications of artificial intelligence in stock market prediction.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Advancements and applications of artificial intelligence in stock market prediction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.746370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be065ac7-a2c2-448b-9d8d-e005d972d62a · outbound

This paper cites Adaptive quantitative trading: An imitative deep reinforcement learning approach.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Adaptive quantitative trading: An imitative deep reinforcement learning approach

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.755219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c9a0e90-8ebe-4924-b734-d47e76be8cb0 · outbound

This paper cites FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:00.798608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 461facbd-c4cd-48d6-a1b0-297b31927dff · outbound

This paper cites Trading-r1: Financial trading with llm reasoning via reinforcement learning.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Trading-r1: Financial trading with llm reasoning via reinforcement learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:56:00.785869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0c1ef657-dd13-4f15-ac3e-df4dcff26fae · outbound

This paper cites URLhttps://doi.org/10.1109/CVPR.2016.308.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading URLhttps://doi.org/10.1109/CVPR.2016.308

Reference 18

Resolution: metadata mismatch; doi, observed 2026-05-18T06:56:00.619545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ed66bbf-a0a8-4a94-9af3-9e6b78c9d8f2 · outbound

This paper cites FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:56:00.760949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 045206d7-0f81-4f75-9f2a-a3383f29cdb1 · outbound

This paper cites URL http://www.jstor.org/stable/2975974.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading URL http://www.jstor.org/stable/2975974

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:00.805518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 570a9cfa-672b-4b05-ac8e-1ff45b4d56db · outbound

This paper cites Earnhft: Effi- cient hierarchical reinforcement learning for high frequency trading.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Earnhft: Effi- cient hierarchical reinforcement learning for high frequency trading

Reference 21

Resolution: verified exact; doi, observed 2026-05-18T06:56:00.634823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 013b766a-e00f-4424-aced-0853b640c64e · outbound

This paper cites Smith, Xiao-Yang Liu, Jimin Huang, Sophia Ananiadou, and Qianqian Xie.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Smith, Xiao-Yang Liu, Jimin Huang, Sophia Ananiadou, and Qianqian Xie

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:56:01.751019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2058b29e-7120-4521-9727-b63e3b966145 · outbound

This paper cites GPT-4o System Card.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading GPT-4o System Card

Reference 27

Resolution: malformed identifier; local_arxiv, observed 2026-05-18T06:56:00.645766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 762d1386-aad8-4c45-a080-417cc6602a68 · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading Hybridflow: A flexible and efficient rlhf framework

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:00.655598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52b02aa8-09b8-4164-8d43-1432a52290a5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

Resolution: malformed identifier; local_arxiv, observed 2026-05-18T06:56:00.752936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.