Paper Citation Record · LEDGER

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2501.16356.

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

pith.paper-citation-record.v1
2501.16356 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:23:36.178126Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T14:12:42.610994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:13:05.842789Z

Reference resolution

12 of 12 outbound references displayed

verified exact2
verified fuzzy1
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6aad687-c126-4f6f-806e-54f1c7ab48b9 · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations A Survey on Evaluation of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:35.963784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ec9fa0-d8d6-409e-89df-f18a912ee98e · outbound

This paper cites DOI:10.13140/RG.2.2.27881.47207.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations DOI:10.13140/RG.2.2.27881.47207

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-10T18:23:36.633330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 322c1ea0-b07e-4255-9f6c-97c08b674fc0 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:35.981037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb5d55f-6970-484c-9efe-0e19fc94a745 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations Generative Agents: Interactive Simulacra of Human Behavior

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:35.986804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fdf30ff-84fb-4d39-b1d4-fe83ef9693c6 · outbound

This paper cites Is Temperature the Creativity Parameter of Large Language Models?.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations Is Temperature the Creativity Parameter of Large Language Models?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:35.991315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e9adcb-a67a-45a1-af70-99eaf1f89876 · outbound

This paper cites ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 4(1): 1–22.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 4(1): 1–22

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:23:36.686525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 74a82083-8200-4a3d-8e5e-6dbc3490c9f3 · outbound

This paper cites The Effect of Sampling Temperature on Problem Solving in Large Language Models.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations The Effect of Sampling Temperature on Problem Solving in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:36.040931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd75173-221d-47a1-991c-8bb2a4e1c802 · outbound

This paper cites UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:23:36.407833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed4fc8d7-fd6c-48f2-90a0-cda01e0dd444 · outbound

This paper cites Matching Networks for One Shot Learning.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations Matching Networks for One Shot Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:36.178126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bda4b18-b0f8-4b05-be80-6d9ef197baaf · outbound

This paper cites Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study

Reference 2017

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T18:23:36.387414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16171a9c-7568-4180-a6cd-dd255f6894cd · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:35.926060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d49536c-a504-44c0-8f7b-e9cde13cdc64 · outbound

This paper cites How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips.

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:35.969722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fc5b9cd7-b060-4071-8bb1-435f0b749927 · inbound

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values cites this paper.

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:13:05.844927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e83c55c-d7f3-48c3-ae9d-895aaf778169 · inbound

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling cites this paper.

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:27:14.809163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.