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Paper Citation Record · LEDGER

Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.10789.

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

pith.paper-citation-record.v1
2504.10789 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:20:58.351425Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4c171c0e-9527-4a56-bc12-b5d23250bc38 · 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 Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:15.778692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:22:15.778692Z digest=sha256:13b6856256d45ef6f574f14d1b1ffbda25ac6a6eeb0622dfa4c55d5884203ac7

Observation 7879135e-a97a-4db6-9c53-8225f26fb3f8 · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T08:06:12.477642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:06:12.477642Z digest=sha256:9dc9967446acb98659a7629aee57581320ecab9676074b560d8bf05075dadc89

Observation 9e74a1e6-2f50-46fe-ad4b-194768d8956b · inbound

Debiasing LLMs by Fine-tuning cites this paper.

Debiasing LLMs by Fine-tuning Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:38:07.586125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T18:35:23.318841Z digest=sha256:689beb5e805968fd1990084af78a5414d1f1161d36e4cce2f49fafb5742e5b56

Observation bf57f20b-6236-4ce2-9c7e-956ad4cbc9c8 · inbound

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance cites this paper.

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:08:58.905139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T03:06:14.794251Z digest=sha256:cdf196005f7f98e2f7d4ae14cfaca9ab4dfff74c97644de59b59335477688aa7

Observation be3d97a7-9614-4a0a-8317-6fbee79bd88c · inbound

FinBoardBench: Benchmarking Dynamic Wealth Management and Strategic Financial Reasoning of LLMs via Board Game Simulations cites this paper.

FinBoardBench: Benchmarking Dynamic Wealth Management and Strategic Financial Reasoning of LLMs via Board Game Simulations Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:13:27.264127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T13:10:39.312606Z digest=sha256:eed4e3ea04ce5912fe4b55c51bc92cb9b58374a80adbfe8ee147b478ff0533d4

Observation 18532e6f-4605-42d3-8708-d4e336b238b4 · 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 Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:37:25.655887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T19:35:11.289439Z digest=sha256:dd7b8755e2d7364853d737d4d6b99d96fb9b873b50360f84297d09d09ef7c4ff

Observation bd0a2096-385a-4dd1-9e93-395acb30a0ca · inbound

TradeVerse: A Longitudinal Benchmark of Political Negotiation in International Trade cites this paper.

TradeVerse: A Longitudinal Benchmark of Political Negotiation in International Trade Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-10T04:20:58.351425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:20:58.351425Z digest=sha256:9e439c74a5c6f017bb346aef2417db4149eb573a28a319508194bab729d9499d