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Paper Citation Record · LEDGER

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.13599.

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

pith.paper-citation-record.v1
2411.13599 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:45:06.339550Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 030e512b-194a-49b9-8eb2-36a607f53f5d · outbound

This paper cites Emergent Abilities of Large Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Emergent Abilities of Large Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.262719Z digest=sha256:235cf47698cbd8f20e54453769c3d5f718527f627d6f4d3a4e7d77e74dc119e2

Observation d5d8b984-8ab5-4446-ab20-8a184437df00 · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Large Language Models Encode Clinical Knowledge

Reference 2

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source=pdf_text observed=2026-08-12T17:45:06.267833Z digest=sha256:c4e7d448ec148e6b745ba58164a0045d363db64b6e8e01b6cc8fa751d798e47b

Observation 6f64489d-71a7-44ac-9acf-32cc897e644c · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Large Language Models are Zero-Shot Reasoners

Reference 3

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source=pdf_text observed=2026-08-12T17:45:06.272374Z digest=sha256:ad24b0037844469fc19b0b965770c7ade851fcd7bfed823b9ae59a2fd6b128ab

Observation 57213c47-8a91-4317-a169-1f76144ab95d · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 4

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source=pdf_text observed=2026-08-12T17:45:06.276778Z digest=sha256:57d21b7e639a83615a7870d4e32093f0590e0287fff3651bbdb8b7c02810fc79

Observation ae28bdeb-2c58-4058-931d-25e16d79b916 · outbound

This paper cites Training language models to follow instructions with human feedback.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Training language models to follow instructions with human feedback

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.281664Z digest=sha256:53899461a79184fb214edd8fb679b4f6a71e6d99f77561ff633efe73c675ecad

Observation 52ae27a0-5148-46fd-9c38-f08fddfe67fb · outbound

This paper cites Deep reinforcement learning from human preferences.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Deep reinforcement learning from human preferences

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.286119Z digest=sha256:345426b46dcf4b9cfe086de1a9031a71c28011ffff1097d28cbf04dbc7ad2038

Observation cfbbcf89-eaba-4b93-8c0c-184f810595d2 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Finetuned Language Models Are Zero-Shot Learners

Reference 7

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source=pdf_text observed=2026-08-12T17:45:06.290914Z digest=sha256:603d0425958666c51b36d38d36f8e435454526be4e163b11564268e90aaa80e0

Observation 6845199e-59ee-48a6-b76d-65db9fd41cde · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment BloombergGPT: A Large Language Model for Finance

Reference 8

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source=pdf_text observed=2026-08-12T17:45:06.295085Z digest=sha256:e15a16029777c7a6988fd3a0e9207687d747c94ee5c706f62a214ffef81a82a8

Observation e9394c60-4c6f-4954-be7a-05f5e5b16e37 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 9

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source=pdf_text observed=2026-08-12T17:45:06.299144Z digest=sha256:605cef5bd4569aef2095f0e22231dc642b95c32859abead506330110488b96b9

Observation 696d9f10-85b0-4369-9519-c8cab497396d · outbound

This paper cites WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

Reference 10

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source=pdf_text observed=2026-08-12T17:45:06.303196Z digest=sha256:e5ad6dfa9d2b0259dfb8481f96f5c629bc9a0f4999f651f0d861164199545f3a

Observation 413aa709-cb24-4088-8650-15c472505d49 · outbound

This paper cites Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance

Reference 11

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source=pdf_text observed=2026-08-12T17:45:06.307391Z digest=sha256:7ccdbea01806d477ce24edf04e86486f68e1a704d26288dfb9ad990ad6068f3f

Observation bd174e18-e065-47e8-9d19-468bb61d6a05 · outbound

This paper cites Beyond Classification: Financial Reasoning in State-of-the-Art Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Beyond Classification: Financial Reasoning in State-of-the-Art Language Models

Reference 12

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source=pdf_text observed=2026-08-12T17:45:06.311666Z digest=sha256:5ed321200df02e4b6e9b20855af2cb54817d62ec0f6e47fd4993604c0cfe2581

Observation 0d22a21a-ce58-4821-b9ac-cd5467cdc159 · outbound

This paper cites The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges

Reference 13

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source=pdf_text observed=2026-08-12T17:45:06.315859Z digest=sha256:db637bf1c313e8a6d698cda3f766a2e2d701604bda09bc8c581267a4c57565c5

Observation be654318-3bf1-4996-9687-d7dbc0a03ead · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 14

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unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.319877Z digest=sha256:d0781d1ef84e63e95eb80aafb6200f563cd34ece8edb7c6b4778f6718f0aac8e

Observation 19f63a1e-4256-4725-8fb2-444834dd1666 · outbound

This paper cites Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Reference 15

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source=pdf_text observed=2026-08-12T17:45:06.323743Z digest=sha256:5a98d02a33e46ac432754ac9dc5b4761a0203f40c9b1c20ca9646d09255dec32

Observation bf93e7fe-e22a-4b3d-b04a-b20630d7b83d · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Large Language Models are Better Reasoners with Self-Verification

Reference 16

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source=pdf_text observed=2026-08-12T17:45:06.327675Z digest=sha256:2f04fd02026dd42f4ad6166bb9b77a00a53a54f49cbcba53d1291ff69c08c7be

Observation cad8a5e3-baf0-4ad7-b841-ee8f5f9f0bb4 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Measuring and Narrowing the Compositionality Gap in Language Models

Reference 17

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source=pdf_text observed=2026-08-12T17:45:06.331500Z digest=sha256:18642048890cc74b3401f5625d4ccfebc987ebebc3b184ff787ee5e9d8abd881

Observation 034a453a-7d04-4d18-843e-d2118ab8811a · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Automatic Chain of Thought Prompting in Large Language Models

Reference 18

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source=pdf_text observed=2026-08-12T17:45:06.335469Z digest=sha256:a324826683304defbbb88ca67f494e91c761da1461825c30eb2d75111bf3d27b

Observation 1c221106-ee72-4fbc-9e69-dbc23c614a64 · outbound

This paper cites Progressive-Hint Prompting Improves Reasoning in Large Language Models.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Progressive-Hint Prompting Improves Reasoning in Large Language Models

Reference 19

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source=pdf_text observed=2026-08-12T17:45:06.339550Z digest=sha256:172ff855b1ebc0503ba521b0b746aaa0f2fdfd8e7aedbda95cdf19eee55cd60a

Pith citing papers

No inbound Pith citation observations are available.