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Paper Citation Record · LEDGER

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2311.13743.

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

pith.paper-citation-record.v1
2311.13743 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:37:59.921665Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-07T14:16:47.619235Z digest=sha256:466b6de18c29ceabfef94ca67610c500d59a249c510835afa2936fb43eb908c0

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.

source=pdf_text observed=2026-08-06T20:02:14.349355Z digest=sha256:18e3e7f157321fc59777de365547e573c881ae31bc30ba312e763bd2dc5b1484

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

source=pdf_text observed=2026-05-10T19:32:25.959711Z digest=sha256:1aed688f18d6c56d016a250f7d2cf9576ac34ef0b04da24a925662250c26fc7e

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

source=pdf_text observed=2026-05-19T19:18:04.072730Z digest=sha256:b6f0a64d26b0f079244a78757d5583f9a4f87fe2396d6c1ad6bbc60289e0348a

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

source=pdf_text observed=2026-06-30T12:55:11.071389Z digest=sha256:92213380dfd5f90fe6c350c44c3807153e1ad13e74443ec7806c2379955c33b1

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

source=pdf_text observed=2026-06-29T20:04:15.688161Z digest=sha256:b01204214dc6d4d9a10b669ccae7bc52b7373451353a7580b7b9f1d703df38f5

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.

source=pdf_text observed=2026-07-14T18:44:41.955079Z digest=sha256:9e05aefac9f2a0ce4a0abd351ab631725d5c5db07dc51afbd275c91fa60cdd1d

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

source=pdf_text observed=2026-06-28T14:57:00.865047Z digest=sha256:b075e6418fa71cfc6c626ab3d48221429604e2e1bec48469e9fa1c4a2def5ea1

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

source=pdf_text observed=2026-06-27T19:35:11.289439Z digest=sha256:3f422f60f5c6be9fcf9b500c20b2e17a80fa7d15eff2c1158adbe93ceac2d7cd

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

source=pdf_text observed=2026-06-30T07:54:52.531488Z digest=sha256:5507a75459a06d80189489dd68a6ba447bfbd9e2603de862cb81f26ef8983f29

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

source=pdf_text observed=2026-06-30T06:43:48.382708Z digest=sha256:619e57258585118a6cedae0e1f91b9ce04c95497f8c9596e69ee287502cbf4e7

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.

source=pdf_text observed=2026-08-04T04:39:36.982900Z digest=sha256:feea3bfc782884be1ba30d07493dc26ec899033cf1502ab2b026b84a83d1db5b

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.

source=pdf_text observed=2026-08-02T04:46:40.889461Z digest=sha256:e9589aebb5abdb76e85cf4534bfdcbb474398f4cab89b65126e55dd984100227

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.

source=pdf_text observed=2026-08-01T23:29:50.867903Z digest=sha256:540cb5247689c5257380f09625ff8323187e7422c1758113736b7dfb66a5ffb6

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.

source=pdf_text observed=2026-07-30T22:03:09.986954Z digest=sha256:d762ccc943fe1ed0d3a415612f2fc0ecc82a90607f23bd6ed4e4f0454d3cd73b

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.

source=arxiv_source observed=2026-08-08T00:37:59.921665Z digest=sha256:6659a2c838fd5137cfc0103e734f9fad49492067f11de5941602a984d3aea450