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Paper Citation Record · LEDGER

TradingAgents: Multi-Agents LLM Financial Trading Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 53 inbound Pith citation observations for arXiv:2412.20138.

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

pith.paper-citation-record.v1
2412.20138 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 53 of 53 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:37:05.391047Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:07.722366Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc01129d-5b4b-4486-af51-a6d3c56c0a47 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 107

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arxiv_id, observed 2026-05-23T01:12:20.811766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:66e506621504a401dab17d926e0ec5d3dd87abe2cb814f4fd7b71c78c0a1a2a5

Observation 3934c522-efdd-40b6-b535-b592560763eb · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 229

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arxiv_id, observed 2026-05-22T21:22:09.415763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:1b8a418337832f524fffae96ccfe72b2c98ee74f7571d6551099cb487fccd047

Observation 0a9f2820-51ba-4ed6-9437-8a187c990f2a · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 88

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no resolver link, observed 2026-08-07T12:06:30.294760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:30.294760Z digest=sha256:da02f193ed44019a1b7eb721a25dbf5f6014db593528c0dba00bcf459ab7fb8f

Observation 44642b64-70b0-42e9-84ca-3dfe3d99621f · inbound

Why do AI agents communicate in human language? cites this paper.

Why do AI agents communicate in human language? TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 32

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no resolver link, observed 2026-08-07T11:21:50.558838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:50.558838Z digest=sha256:9d75172e6bf7bf461cc9babb2fc5c42c1f31c8ee8d8aff0c7d98f45537ac31f3

Observation 2ba54d81-88bc-4d5b-b6b8-362e0a57d813 · inbound

EconGym: A Scalable AI Testbed with Diverse Economic Tasks cites this paper.

EconGym: A Scalable AI Testbed with Diverse Economic Tasks TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 44

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no resolver link, observed 2026-08-07T04:08:13.873473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:13.873473Z digest=sha256:199e202743cf5f41b5f1907ec62f4f96e2fdf35f7d03653a55ae66d75014c6c7

Observation 6619d21f-5b70-4af6-b6e3-db38052a6361 · inbound

Integrating Large Language Models in Financial Investments and Market Analysis: A Survey cites this paper.

Integrating Large Language Models in Financial Investments and Market Analysis: A Survey TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 30

Resolution
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no resolver link, observed 2026-08-06T21:53:08.556335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:08.556335Z digest=sha256:e77e48d7553a9177862ab3ccd8d719d053c8b656e4d47b036526e0519a91a492

Observation 263fe910-f8d4-4c6c-ae15-c00a45ea72bc · inbound

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions cites this paper.

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 18

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no resolver link, observed 2026-08-06T18:22:15.812816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:22:15.812816Z digest=sha256:236f95270f82b977dcbf042ed103d7cafa479c6bde2fa37883a36621d8fa9877

Observation 18593718-4dd2-4d4d-8907-06c6eeb18b8e · inbound

StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets cites this paper.

StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 20

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no resolver link, observed 2026-08-06T18:03:26.879102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:03:26.879102Z digest=sha256:bbcacac3e019eef57ede6932321f48e199575804490787d695b046227da14069

Observation afa67fcc-3c2d-466d-8617-f31262169326 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 217

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arxiv_id, observed 2026-05-14T22:23:15.140687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:0e613f9b31c9bf3843e3c500966067e792c0bec1da1fb1615b621500739d6259

Observation 830ac18a-8b25-462b-9ea5-4ec7a7892ee3 · inbound

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism cites this paper.

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:12:19.881912Z digest=sha256:ef10e75a31559b69733f82ef02bf4c536b44b7f608a2ac08687e19423c9951cf

Observation 8517c31a-4e46-4c87-a23f-9a9cacc65512 · inbound

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control cites this paper.

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 61

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no resolver link, observed 2026-08-05T15:18:57.680409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:18:57.680409Z digest=sha256:2022ae49adc7b8515963f9d3f6dda62bf39ed22f763be441503984fe27cb45c5

Observation 6dc77c62-710f-4050-9edb-2156ee8599cf · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 37

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arxiv_id, observed 2026-05-18T17:51:41.883790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:65e524cd2c59f95e41f3b458c84fd41a230442084e1cb23104d069b3ce483fd8

Observation 31c38fad-e99d-41c6-b991-5e603ba4cfcf · inbound

Scheming Ability in LLM-to-LLM Strategic Interactions cites this paper.

Scheming Ability in LLM-to-LLM Strategic Interactions TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 48

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arxiv_id, observed 2026-05-18T07:51:03.830215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T07:50:30.597108Z digest=sha256:d4bae607f52152d1dae8c410be7501ea65cd4208b313995d7300309233a4584c

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

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading cites this paper.

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

Reference 6

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T06:55:50.287160Z digest=sha256:670e959a5ddd0b30265a5596818efcfe95d4e9c2d1c55434d1ced3999b7ea0fe

Observation 04952ddc-824f-4db6-a864-4b3276049b76 · inbound

TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applications cites this paper.

TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applications TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 17

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arxiv_id, observed 2026-05-21T21:20:38.744921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T21:17:58.275784Z digest=sha256:c3b87c062f2150af4f0e3375b0f6776410875bf0a472e762df218d86a5579dc9

Observation 53c78bab-440a-4051-83b2-b87b1cc71834 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 11

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no resolver link, observed 2026-08-03T11:01:43.476588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.476588Z digest=sha256:bed313529871fba3af9c9a838834fd7312173ca82b5c5db5d0fa38b87bcd7ea4

Observation ebd0a276-0d3f-440a-8717-bfe85fdc9c53 · inbound

Large Language Model Agent for User-friendly Chemical Process Simulations cites this paper.

Large Language Model Agent for User-friendly Chemical Process Simulations TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 11

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arxiv_id, observed 2026-05-22T11:51:30.116868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T11:47:11.730921Z digest=sha256:c5b6f5cb1f619bb0d7e1c80edb500fa865ef1d76158c087842331985986a82e1

Observation ebcfbef5-9d9f-4f4b-a633-a8207ca040d1 · inbound

Emergent Social Intelligence Risks in Generative Multi-Agent Systems cites this paper.

Emergent Social Intelligence Risks in Generative Multi-Agent Systems TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 131

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arxiv_id, observed 2026-05-14T21:48:00.909769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:45:04.625084Z digest=sha256:07924dcd4b2db366cd18f31c1c24ca646b2dd3b13c71c3feb61e2c5765a59b04

Observation b182ca4c-6bd1-4a94-acd1-37dac938236e · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 40

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orphan_title_repair, observed 2026-05-13T17:16:38.496849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:16:17.464937Z digest=sha256:ab4d9e5f3b5d42d392a548581722f237386c1b95af6b2ae3023b0f2745c58043

Observation 0ee6bd39-c553-4837-9cbc-954aea0cde20 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 103

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arxiv_id, observed 2026-05-11T11:51:03.971763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:80f84a4c501f3646148258b6bcb10db276b0c177615927ff839979decbd30ae9

Observation 2d2fef3f-85a3-40db-aff9-2ff8121919e3 · inbound

Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading cites this paper.

Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 52

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arxiv_id, observed 2026-05-11T16:26:05.832758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T17:08:46.405278Z digest=sha256:6097d1579d4ab0202f7dfacddbf9b5a43fc86e3c35f2c0e5396e28ab92727a5c

Observation 3f3e76cd-efaa-41a5-a777-d758f55695c7 · inbound

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective cites this paper.

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 71

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arxiv_id, observed 2026-05-11T07:35:59.201518Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:05:40.178716Z digest=sha256:9676b6328900d3c59becc6c2e5cbb2d90e75b5b18bbf33e87ae0d0c8d773d9dc

Observation f44e13f3-1a34-4f56-a7b1-493d3360658e · inbound

Agentic Retrieval-Augmented Generation for Financial Document Question Answering cites this paper.

Agentic Retrieval-Augmented Generation for Financial Document Question Answering TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 36

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arxiv_id, observed 2026-05-11T17:51:08.357300Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T17:03:09.496490Z digest=sha256:562ab903bc5accaf3abd40008a4368f9bd2aaf07fddecba3133ebf001f27e1f1

Observation d77dc460-7396-4698-9826-9375e9afea9b · inbound

Beyond Task Success: Measuring Workflow Fidelity in LLM-Based Agentic Payment Systems cites this paper.

Beyond Task Success: Measuring Workflow Fidelity in LLM-Based Agentic Payment Systems TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 18

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arxiv_id, observed 2026-05-11T20:16:09.393309Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T09:50:24.336770Z digest=sha256:cb4d0f41e89b683ae530875ac69dd3b64bb66e374f37fd8085ab1a889cc51479

Observation 0e4f9747-e3a3-4b81-b2a7-c05884e3d169 · inbound

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection cites this paper.

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 31

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arxiv_id, observed 2026-05-12T07:41:36.868361Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:22:13.974371Z digest=sha256:572187bff49cb9844d1f47ec8f0d1f0d44193d90d416bbcf3e6e8fee44b49b36

Observation a1945989-88c6-44b2-90ff-c30c533aff84 · inbound

FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems cites this paper.

FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 58

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arxiv_id, observed 2026-05-13T02:07:08.878676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:57:31.681480Z digest=sha256:4ff1e19ee53ce50994139d42cf1a7859a34719c416b1f3784087ac529596cd93

Observation 91e4309d-92d5-43a4-854d-24525b93d1bc · inbound

LEAF: A Living Benchmark for Event-Augmented Forecasting cites this paper.

LEAF: A Living Benchmark for Event-Augmented Forecasting TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 2

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arxiv_id, observed 2026-05-20T22:19:07.471878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T22:18:58.767227Z digest=sha256:4c7ba5ebf394beeab9a5c92660ca8c13bfcf539470c7d67d7d3826e00dc32e0e

Observation d5c7b735-1644-4975-ad38-ccbc8fb52534 · inbound

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence cites this paper.

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 26

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arxiv_id, observed 2026-05-19T19:22:44.993276Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T19:18:04.072730Z digest=sha256:412e051c9047e5bcbf6df37fa471b1c2d196466cc56c7a0b63e6bbfae7faf237

Observation e7f04c84-3f59-4a49-aa97-9e6e54b1117d · inbound

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs cites this paper.

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 49

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arxiv_id, observed 2026-05-22T07:16:12.817240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T07:15:45.332957Z digest=sha256:39ca220161bc509fd7d386d5860ab3bf2cd49f4a7562be7b5afe2414ffc32d40

Observation 87f160f0-88ff-4734-a382-5f5e9c8c25e9 · inbound

MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models cites this paper.

MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 13

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arxiv_id, observed 2026-05-25T05:25:23.297739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:24:05.098181Z digest=sha256:2c8ec52d291f9c169939f892ff31ac703e47b2b408ec32defcb5d8e833638638

Observation f0d621ec-5b3a-4b81-a523-68b17b9d7781 · inbound

Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems cites this paper.

Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 42

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arxiv_id, observed 2026-06-30T13:24:40.023536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T13:22:50.943766Z digest=sha256:a4c6257a8496c05ac622bc465cc9c219e959e6b66490b53d3b8f21fcb09a92e5

Observation 58386480-5ffc-4f1c-9885-44684e6afb66 · inbound

FundaPod: A Multi-Persona Agent Pod Platform with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research cites this paper.

FundaPod: A Multi-Persona Agent Pod Platform with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 19

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arxiv_id, observed 2026-06-29T12:43:25.493827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T12:40:17.867815Z digest=sha256:bfd2d9c83bf86397b17f0a496bd989a89071df0762b76c068ed4ce797de117ce

Observation a2e21f9c-2a09-4677-9da8-d2ba636148b2 · inbound

Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents cites this paper.

Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 15

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arxiv_id, observed 2026-06-30T19:05:00.514240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T19:02:10.499935Z digest=sha256:a6535e0c122bc24e08e10e55a36f1eb5fbdbb7701c648874fe965026607cf8ee

Observation e4cb7757-ea37-4468-b871-021da1c3d015 · inbound

FinCom: A Financial Multi-Agent Demo with Disagree-or-Commit Deliberation cites this paper.

FinCom: A Financial Multi-Agent Demo with Disagree-or-Commit Deliberation TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 7

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arxiv_id, observed 2026-07-01T21:36:15.564811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T16:36:33.579549Z digest=sha256:3bbb547e96b7732dae4f10046c7dc2e1ae235af72485004676b3da60374bd619

Observation 13184d36-3d3e-4db6-acf0-ab851b3f207e · inbound

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems cites this paper.

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-01T23:06:19.993900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T14:44:21.487169Z digest=sha256:e78c31bffdaa438117434a2384d00587613a3c121e6d71f0b57a31d85709bbbf

Observation 67f54172-0119-4fef-8d09-c76d2c08939a · inbound

Large Language Models Hack Rewards, and Society cites this paper.

Large Language Models Hack Rewards, and Society TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:46:27.003033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T11:30:35.285902Z digest=sha256:4e252d1f43c3475206058a8e6d2a307a686f655b2aa23efe6621bca5f583fc5d

Observation 4960ff52-8af0-4e07-aba1-97197a373ed9 · inbound

Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making cites this paper.

Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:16:47.371514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:19:56.406897Z digest=sha256:2a11ee1cc3ed4d521e2be53cc12c970bc14cc65b6c16465f7e3b869787bcf9f2

Observation a2ff5a6b-21dc-4665-bddd-47856009417f · inbound

Harnessing Generalist Agents for Contextualized Time Series cites this paper.

Harnessing Generalist Agents for Contextualized Time Series TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:46:49.100535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T05:45:48.655352Z digest=sha256:db245b8a3b8a31969256a4001633d878b1341564d43b986fb80af3e9ee418dc4

Observation 17c07363-e1bd-4aef-ac6b-2c5a63aee4b8 · inbound

Macro Economists in the Machine: A Multi-Agent LLM Framework for Commodity-Related ETF Portfolio Construction cites this paper.

Macro Economists in the Machine: A Multi-Agent LLM Framework for Commodity-Related ETF Portfolio Construction TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:37:25.934202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T18:46:56.475224Z digest=sha256:0bd948b3f742c126ee3f4a6f73c5ab8a9a3530b40ba93bf3ba6531fa2a452b8c

Observation b735b7ae-6f5b-4bd1-b517-aa9c4582b496 · inbound

Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems cites this paper.

Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:37:25.590294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:35:11.289439Z digest=sha256:319d3717c73ec3e540dd58dd4447eb6371ce5e00c0b921edc07e6874fd5504e6

Observation c22c93dc-15d6-4a4e-ad0e-ab203e4d5b0b · inbound

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning cites this paper.

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:57:56.158522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T10:17:42.831128Z digest=sha256:3cc00b7236239d3a9065b2ffd8498431481f12ec1cffb78fed9030e7b54e8edd

Observation 125817ca-47c7-4b6c-87f7-fe0d6eb11918 · inbound

Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking cites this paper.

Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.707157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T09:14:31.166883Z digest=sha256:fb2f70bda902695272d49d950805abc7026277cff69ea4784d6d9db6188afd94

Observation 7940183f-52af-4098-9be0-99c6b009cd81 · inbound

The Interplay of Harness Design and Post-Training in LLM Agents cites this paper.

The Interplay of Harness Design and Post-Training in LLM Agents TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:00:07.724609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T20:57:20.179394Z digest=sha256:02d6c4f0cb3f48eaa80d414c2ec6d6600b1af2f17bed23563c5796e0cf52afbd

Observation 85c5a340-447a-4735-ade6-e442e21e58e2 · inbound

AI Trading's Alpha Singularity: Emergent Market Reasoning through Agent-to-Agent Self-Evolution cites this paper.

AI Trading's Alpha Singularity: Emergent Market Reasoning through Agent-to-Agent Self-Evolution TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:28.573951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T07:54:52.531488Z digest=sha256:749d4de07face87a1523df157ba4c9e21aeeb43282eb599dbf465d55676e5909

Observation 7761854b-76a3-4122-8552-49ce0da18299 · inbound

CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents cites this paper.

CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:18.596839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T06:43:48.382708Z digest=sha256:036c6220b166ee43ca9d60cef7a718a90e4877351caacd536efc8bb281596af1

Observation 8018a4fd-b9e1-4e73-afdf-df7005964617 · inbound

CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents cites this paper.

CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T04:39:36.978872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:39:36.978872Z digest=sha256:07fe71c7025a5861543fc55b790a224a2253567c1bab2b0abb3899103169961c

Observation 88ac7230-c4de-4058-b590-a17c452e5072 · inbound

A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control cites this paper.

A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:55:44.190759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T01:38:42.824342Z digest=sha256:6ddf03513a9a3659a0c8cb25e57768dbe4d094f9c02224a92ec07dc5c84f349d

Observation 9f0b109d-27f6-453c-bdd7-74a88bc968e3 · inbound

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market cites this paper.

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.300066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T05:50:19.208987Z digest=sha256:5015b56ce375fb0415a6b99582b155c394490f060162abaec85b4e99b73894e2

Observation 2f7db49c-7829-441c-bad2-d0bb37b4276f · inbound

NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management cites this paper.

NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T06:46:36.394796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T06:46:36.394796Z digest=sha256:a67812e3934a64a994c80ae2b876f9e799f406f59656829c45f59181d507c370

Observation a322e7d9-fe88-4e01-82f8-537afe86dc8a · inbound

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents cites this paper.

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-30T22:03:09.974104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:03:09.974104Z digest=sha256:7f93dffe44e8e60c0e323ce6fcbc258864800be32de32fb1647cbef212c3610f

Observation a9f633b5-3ad3-45ef-bc2c-8b8d2c2555e9 · inbound

Can Large Language Models Execute Parent Orders? cites this paper.

Can Large Language Models Execute Parent Orders? TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T08:15:26.243712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:15:26.243712Z digest=sha256:41ba346e99e201402de7ae0ba151cd292b7686376aefd2d581638652cd1c9b71

Observation 5baa9a69-5d9d-49b8-8442-eb2d3dbe3b47 · inbound

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities cites this paper.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T05:37:05.391047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:37:05.391047Z digest=sha256:d4bee1b07531ad510ce7b4d2f7fcfbe351bd8a30f89171d22891d394cadd3616

Observation bd2abde7-c7d6-405d-ae27-33ab224066d3 · inbound

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading cites this paper.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.185470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.185470Z digest=sha256:24b27a5e29a6c6a05824e10d14103f997ef2c66a0553eb4a57f5b04bf9920d1a