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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:652815d8e772b1f07d195faf688e78ab57873387867af703a1bedb3bb8e03fce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:a03fba7b16ce4f1864213fbbb6443ab83bd31591ea20169cd92d56ff050e0975

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:45501fe28110a89ced1b6b414e4539df58023afa58886cdb325f01d9cc8f2b35

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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no resolver link, observed 2026-08-06T10:12:19.881912Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:7e2ee3214ae0af755ac1bb8a3ec11858a5673b219feadb75e1b2cdf81419ebb8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T07:50:30.597108Z digest=sha256:ee200df2d141bfb7cc7a778c8b4d3b5a19d944163e2d7076ac87ca072515fa1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T06:55:50.287160Z digest=sha256:a47bf6c2bbcb42c03555ebc34f40156ded39e1923a53bd31549211cfc5db8da4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T21:17:58.275784Z digest=sha256:6e1a65a833f3af75428d37d3badef4cda596a39a7b834c4f4e28b41767b0d44c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T11:47:11.730921Z digest=sha256:ab3030733fff9187fef4c5c92b158bf70f7640b1e1a53423b19738ca6e883667

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T21:45:04.625084Z digest=sha256:ac92dfe8ca21e7c4cb9525f1785049158f5050d79de40a319fa7dfc324eff9df

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T17:16:17.464937Z digest=sha256:3a0ef8223d918ab79c997fbcd86d2558439c642db3712c762819ca4ececac10a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:7f85ca27d6f8a2c83033990ad5f02bcc67502892ef86f1b18d1aac5256edbcb1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T17:08:46.405278Z digest=sha256:165830976b5cb48872ec19d67050e40e99ebf5a0eed87385da724c2597537f01

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:05:40.178716Z digest=sha256:06829d4e106df4984673cf40b5cff776efa80df99a674d95a9b9774bdd35093a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T17:03:09.496490Z digest=sha256:6868d93f39f53e6ebaf77a6b4753dcac20541aef92213a2ace4308906af4151a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T09:50:24.336770Z digest=sha256:34a469f7813c68550af55e3e471e82957398359fe33808b8813aeb749c2e67ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:22:13.974371Z digest=sha256:0f5623b74c3d71985f904b6facb38b3c5da68d36ae6097d4b31f69dc94d37cdd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T01:57:31.681480Z digest=sha256:b6125597bd95e51897bcfce22f1394540da74fce2b2c8855f7b763a7f225cff4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T22:18:58.767227Z digest=sha256:d1ede3c529e5308b703127f37d49d9dd3ace4fea82dc47ecf741d5bf417f5286

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T19:18:04.072730Z digest=sha256:e904537e0ac98be3e43a686f07dd51cb1ef811fcff00fae945823e8da9e542e9

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T07:15:45.332957Z digest=sha256:d6aa1f6de7fbba751c49586d9cc8e48fbeaec781849be18445aa79dd367643e5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T05:24:05.098181Z digest=sha256:675c5db35f1bab8ceeae8db31f7c4cf9e761214656f44abfafbbdda4645ae596

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T13:22:50.943766Z digest=sha256:45de0983fc177a95e07e4cf1b226f6e7a77da3c51b6b8f9f705db863817217c0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T12:40:17.867815Z digest=sha256:39062fbb6042cae00c16a12ed69959a2032abe97c747f4a5b0ab25701f84c564

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T19:02:10.499935Z digest=sha256:2e53f1ef970bd07dd55183803c7e126b1359e24f393eefca464b43be45fa2c3a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T16:36:33.579549Z digest=sha256:0d127a463adeb335e2084675ec05ad25c6fb6661c72d17cf2b47a9e233595179

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T14:44:21.487169Z digest=sha256:e96b71fb28bd262351063ad29231aa32fb6bf6da048aced7287f7fbec4cc3417

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T11:30:35.285902Z digest=sha256:3e0828d7f6c774395fc129b7619cef686f5dbfee4595c74bf5b6f4632345b06c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T06:19:56.406897Z digest=sha256:2756dd9c5b32c067b0db03231a4a115683253bb3676e72788c352ba125fcd87e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T05:45:48.655352Z digest=sha256:e428b7519dd050f15d0604c7f8c63d3fa2fa8d0f9bb03045109af26f6f607ffb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T18:46:56.475224Z digest=sha256:5c0eef53d68d037ef5de822f80d2879c418af820f11e8025297e7c63b49939a3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T19:35:11.289439Z digest=sha256:50c7a51e20521c94d039145d5201b4418f744f6d2e419b444097b97581023c73

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T10:17:42.831128Z digest=sha256:db23dc9d6c6837fb79ffe2e225a9126f9af5b02afa6dcc256c0b9c8e0dee4097

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:14:31.166883Z digest=sha256:938630ec12d1985e09790d4599d86124461549c5e366c7dd0d6f361e2095689d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:57:20.179394Z digest=sha256:917c79f8052302a882d4b121d28d0541ec7fa79d57edb8a93809391c9ddf6c41

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T07:54:52.531488Z digest=sha256:2da3cfb4e2e963b1e5eff14743857a15bcc062bbd832623711facc8041cd4d0d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:43:48.382708Z digest=sha256:f43b9275eda09a93aeb05b69eaaa8b6783d8240b642db794582e34b852f9a2cb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T01:38:42.824342Z digest=sha256:f64257ffcc0d845e3874844894937677e554e35c38ae838c15473fb9878b20d2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T05:50:19.208987Z digest=sha256:ad78f2aa9743a65be13fff26a68df41e3ff154e63a9e4704b823e6c20cf6d062

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:c46db4e25d31ccb9ad3fb14f24a9580be71d7e299ae49d09d7b7beb3273fe4d4

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:bf05bb77511eec1d5a104f6ab71748cdc3c30d11c1a9f874f4f8bd82c30dc229