Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2311.13743.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:25:25.739755Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:37:25.626992Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation cb2a5f5d-abc3-4b0f-9fe2-823d5957351f · inbound
FinRobot: AI Agent for Equity Research and Valuation with Large Language Models cites this paper.
FinRobot: AI Agent for Equity Research and Valuation with Large Language Models FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:25:25.739755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d2632fa-ff0d-4efb-8bf8-dc3a53a713a8 · inbound
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs cites this paper.
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:16:47.619235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91d64b77-c690-4964-8ceb-9e75ac93fa87 · inbound
FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios cites this paper.
FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:02:14.349355Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43d491b7-2d68-4e24-ac08-a4f666eb62a3 · inbound
SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics cites this paper.
SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:50:49.311727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 50ff9774-31ab-4259-a7b4-82018a9a9b6a · 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 FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T19:22:44.862917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 412e6a25-b107-4222-b78c-0e43e2456f91 · inbound
Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models cites this paper.
Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:14:41.241999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bfea8941-2347-4493-a7ce-cbb4637d85a8 · inbound
Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty cites this paper.
Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T16:55:50.858505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac7e7f13-0562-4a43-911e-086e35f634b4 · inbound
Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty cites this paper.
Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T18:44:41.955079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b426c07-e2df-46d1-b978-bef9c159c9ac · inbound
Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents cites this paper.
Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:56:19.807470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b2a80d02-7bdd-40fe-90b3-9a0189e3627c · 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 FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T21:37:25.628419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 36c8d514-8322-44c8-a4eb-b173a0a5aa57 · 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 FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:04:28.571439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3b71e54d-6875-40cc-af4d-6cef1bb568d3 · 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 FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:44:18.576281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c9c86bcd-0b43-4ab3-b79c-49a97c19f507 · 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 FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:39:36.982900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b34383e9-bb4c-4e53-8aed-b48041d7bfee · inbound
Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis cites this paper.
Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T04:46:40.889461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbbbd4c4-9c69-4dc4-8334-7b785867115e · inbound
AI Trading: Evaluating Large Language Models for Technical Market Analysis cites this paper.
AI Trading: Evaluating Large Language Models for Technical Market Analysis FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:29:50.867903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c57c638d-bcde-4ed5-9cb2-d1d2d9447209 · 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 FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T22:03:09.986954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 057d7015-a75e-4f64-9d26-0be8bed2763a · inbound
FinPerMA: A Theory-Informed, Event-Grounded Personalized-Memory Benchmark for LLM Agents cites this paper.
FinPerMA: A Theory-Informed, Event-Grounded Personalized-Memory Benchmark for LLM Agents FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:37:59.921665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ea2fb25-ac34-4440-935f-e9c2401a3a2f · inbound
OpenPM: Auditable Point-in-Time Evaluation for LLM Portfolio-Management Agents cites this paper.
OpenPM: Auditable Point-in-Time Evaluation for LLM Portfolio-Management Agents FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:57:03.587328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.