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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 14 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 2026-08-14T06:32:32.682623+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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  • verified fuzzy0
  • unresolved19
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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=sha256:7783aae315714fbe59dfa2faf8fdbaa399adc50014c385ef23cda279e3cf4614

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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no resolver link, observed 2026-08-12T17:45:06.267833Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.267833Z digest=sha256:679c531c8e4f0f45ebf29a95babe7fd85cfccb3654a2881d967b9705de2adda2

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=sha256:30945193288b4b8a5636f975f02a5dbbe348adc2e227ee603c8616948a389e28

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=sha256:5dab858249858c98a22e99488ef250651feb663cf8546b06b47a82f924e15edb

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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no resolver link, observed 2026-08-12T17:45:06.281664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.281664Z digest=sha256:d4548f82262a93095b0a4277d4b83112cfb5e40085a88ae16f8e261b8a4b795c

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=sha256:633c95871f3afe7ad970a8d9702151644e71205b0d9918f3f19d54bc4093173d

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:ab581948750e5ed8be517f804f1637dcbaabac58d4e7b879898bd6d55fdff474

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:e9cd0676fc895a1858dea784f4c4ec320c06f467211aa971776fd1bdd0c20423

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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no resolver link, observed 2026-08-12T17:45:06.299144Z

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source=pdf_text observed=2026-08-12T17:45:06.299144Z digest=sha256:7cd622ca1ce8a0823594a8a2edd6824afd09daed266e04a3070d69e1aa1a650c

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=sha256:11be012d547f87cdcc37a58c7ce88ab80b4c81905753d06e2161a18246227cc6

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=sha256:322c865abd041ea17d856ed375e12acc38480e62b6ab84c3239cf43b65a56571

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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unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.311666Z digest=sha256:17c680961d0bb53233b8c580018efcc6a7c91f14113da2e2e546660f5f43c946

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:c704c549c6c6ed26055f16507b0b7d7e5c834dac3c855311c196efa98f8f665e

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
no resolver link, observed 2026-08-12T17:45:06.319877Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.319877Z digest=sha256:15b6c423c838987abb3cd6644fd8237656d1509e19177c42acc73ed040bdcbb8

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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unresolved
no resolver link, observed 2026-08-12T17:45:06.323743Z

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source=pdf_text observed=2026-08-12T17:45:06.323743Z digest=sha256:3a25d9719371164aa7647d9637d6d183d4351223ef8f0c192645ffccfa6e93d2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:06.327675Z digest=sha256:9ec214737974c1ae96db0fc3adccaddd54be07c729756b6e84db00ea410ff4a7

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:ed3c22850a14f97e96a97c6783b2c8eb63c96a0e794ef458f605f76ffcf48009

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:a22fc03de4180880376ddec27edeb01a02f9162c40fcb0dd51beec91d55081b2

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:be09a2d29fff7375e2f63245ebd2f79b5485b56b223466991e3241f585e48035

Pith citing papers

No inbound Pith citation observations are available.