From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models | Paper Citation Record

Observation 57d9105c-a7bb-42ed-a074-13114f9674ee · outbound

This paper cites Constitutional politics/constitutional law.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Constitutional politics/constitutional law

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:30:00.611307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46dc4dee-6c34-46b2-bfee-a04620bba793 · outbound

This paper cites Llama 3: Open research and development in large-scale language models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Llama 3: Open research and development in large-scale language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:30:00.445021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d648273a-a8d8-41b5-8503-209d4c652deb · outbound

This paper cites Mistral: Lightweight and ecient open-source language model.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Mistral: Lightweight and ecient open-source language model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:30:00.228820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9bd7ff00-5259-4ca3-ae96-a8e6ab44baaa · outbound

This paper cites lii legal information institute.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models lii legal information institute

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:30:00.053064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2fe1c37-81bb-4791-9094-6d74fa6ed6d3 · outbound

This paper cites Evaluating irrationality in large language models and open research questions.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Evaluating irrationality in large language models and open research questions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:59.873789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e2b3af9-ce70-479d-a84a-8187ea094bd2 · outbound

This paper cites Claude 2: An ai assistant with a focus on safety and reliability.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Claude 2: An ai assistant with a focus on safety and reliability

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:59.660251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ac08b8c4-c741-44ce-ab6c-deb70fb0dcce · outbound

This paper cites The impact of cognitive biases on professionals’ decision- making: A review.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models The impact of cognitive biases on professionals’ decision- making: A review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:59.433156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation daf3cbd9-04c2-4dd1-9c52-983bfc155010 · outbound

This paper cites Barbri Simulated MBE.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Barbri Simulated MBE

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:59.207709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ee05d2dc-571c-4c8e-8594-6cddeeb90169 · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.982861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c693aa03-b272-47c2-8000-88cf05937c73 · outbound

This paper cites Pearson correla- tion coecient.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Pearson correla- tion coecient

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.777857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c5aaeacf-3639-4847-a4b3-e0b71a3e39f5 · outbound

This paper cites Using cognitive psychology to understand gpt-3.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Using cognitive psychology to understand gpt-3

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.585000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f89373f3-9fe0-4bbf-8f2c-0a4b6556879b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models On the Opportunities and Risks of Foundation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:45.103419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d70365ff-27d7-496f-9dd1-ba875c8a93b7 · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, and Dario Amodei.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, and Dario Amodei

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.444766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96890647-9d15-44a3-b94a-d5819eb159ca · outbound

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

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:45.234588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7e7e16-716f-4db1-9b95-994651f52a2b · outbound

This paper cites Understanding the relationship between rationality and intelligence: a latent-variable approach.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Understanding the relationship between rationality and intelligence: a latent-variable approach

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.299586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d30c566a-07e8-4b6a-a884-dfa82c86a27c · outbound

This paper cites On the Measure of Intelligence.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models On the Measure of Intelligence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:45.481302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f8ac64-fe89-46a7-a5cc-c8c78c119d87 · outbound

This paper cites Better than rational: Evolutionary psychology and the invisible hand.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Better than rational: Evolutionary psychology and the invisible hand

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.168969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e6200f81-cdcc-46b7-a754-60b66e01d77d · outbound

This paper cites Lampinen, Stephanie C.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Lampinen, Stephanie C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:58.000362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dae117c0-81a6-44de-a6dc-0f0379460ea5 · outbound

This paper cites Gemini 1: Advancing ai capabilities through competitive benchmarks.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Gemini 1: Advancing ai capabilities through competitive benchmarks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:57.829782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb91eb76-9630-4e48-8d4f-60bdd3aacda5 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Towards A Rigorous Science of Interpretable Machine Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:46.198423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d612ed-73fd-4875-951b-ff3dd8326cce · outbound

This paper cites an unresolved cited work.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:29:57.655257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdeb2c22-afcd-4c6f-9d7b-a27cfece3cf7 · outbound

This paper cites meaning.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models meaning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:57.446460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 598984d3-7686-4c61-b2fb-3bfcbfe31665 · outbound

This paper cites Language models do hard arithmetic tasks easily and hardly do easy arithmetic tasks, 2024.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Language models do hard arithmetic tasks easily and hardly do easy arithmetic tasks, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:57.254952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3dbc5265-2636-446e-beba-4386990ddaaa · outbound

This paper cites Fast and frugal heuristics: The tools of bounded rationality.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Fast and frugal heuristics: The tools of bounded rationality

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:57.063828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26f408cc-bdc5-48f8-886f-2139f9af38d1 · outbound

This paper cites A survey on large language models: Applications, challenges, limitations, and practical usage.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models A survey on large language models: Applications, challenges, limitations, and practical usage

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:46.690652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5701c44-7985-46ea-89e2-d1a96cd2cbf9 · outbound

This paper cites Machine psychology: Toward understanding ai cognitive processes through human-centric frameworks.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Machine psychology: Toward understanding ai cognitive processes through human-centric frameworks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:56.880119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46c765b7-dae5-4ede-9c3b-e47671608b30 · outbound

This paper cites an unresolved cited work.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:29:56.665075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bac1a98f-c270-421a-82c7-f868bad9015f · outbound

This paper cites Criminal Law & Procedure.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Criminal Law & Procedure

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:56.431881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c45f825-cb6e-469a-92cd-0f128d6a0b23 · outbound

This paper cites The weirdest people in the world? Behavioral and Brain Sciences , 33(2-3):61–83, 2010.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models The weirdest people in the world? Behavioral and Brain Sciences , 33(2-3):61–83, 2010

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:56.239436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8eb211a4-1051-4bf3-9f98-89568f94979c · outbound

This paper cites Real property and real property security: The well-being of the law, 1965.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Real property and real property security: The well-being of the law, 1965

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:56.030846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3e64318-4bd2-4f01-9304-cd578e7f81c7 · outbound

This paper cites Training Compute-Optimal Large Language Models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Training Compute-Optimal Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:47.597141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a85633d-a487-4192-aead-6004d1ef190c · outbound

This paper cites Some observations on the law of evidence.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Some observations on the law of evidence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.866095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0fe3b683-1da6-418e-ba3a-aa0a28cbd666 · outbound

This paper cites Thinking, Fast and Slow.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Thinking, Fast and Slow

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.652586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d40d1214-9723-413a-919e-1585a7cd3a2a · outbound

This paper cites Judgment under uncertainty: Heuristics and biases.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Judgment under uncertainty: Heuristics and biases

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.488441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c6c1a86-ff50-4662-a9ca-046fecd22cf6 · outbound

This paper cites Scaling Laws for Neural Language Models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Scaling Laws for Neural Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:48.093875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ff1f33-e2eb-41ea-a59f-15a1a9d98ff4 · outbound

This paper cites Building machines that learn and think like people.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Building machines that learn and think like people

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.343830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4365fa1-c857-42c8-b687-24f496d5e057 · outbound

This paper cites Holistic Evaluation of Language Models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Holistic Evaluation of Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:48.278185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2d16df-e981-4a61-9e38-8c858453629e · outbound

This paper cites Cognitive psychology tasks to assess rationality in llms.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Cognitive psychology tasks to assess rationality in llms

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.270542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d09d88e9-577a-44d4-b3f0-ba695666c430 · outbound

This paper cites (ir) rationality and cognitive biases in large language models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models (ir) rationality and cognitive biases in large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.227533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92c748c1-4f34-42a0-b78b-701f9cd622a7 · outbound

This paper cites Artificial Intelligence, Values and Alignment.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Artificial Intelligence, Values and Alignment

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:48.601997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb2a031-1ee4-483e-addf-69111a94fbbb · outbound

This paper cites Rebooting AI: Building Articial Intelligence We Can Trust.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Rebooting AI: Building Articial Intelligence We Can Trust

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:55.106200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3e28750-08da-4256-8a01-54456f976594 · outbound

This paper cites an unresolved cited work.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:29:54.927808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7823acd-2c3c-4fee-b41f-4dd1d86b71a4 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:48.928903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a4d94c-74f8-4918-a1bb-73fef31b8cf0 · outbound

This paper cites Articial Intelligence: A Guide to Human-Level Thinking.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Articial Intelligence: A Guide to Human-Level Thinking

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.810709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation afd8184c-c549-4e77-b3f9-92424fe4a540 · outbound

This paper cites Measuring machine intelligence: A human-centric per- spective.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Measuring machine intelligence: A human-centric per- spective

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.691832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3dbf75e-92e6-4166-816f-233c6dd0d1f9 · outbound

This paper cites Dual process theory of reasoning: Contemporary issues and developmental applications.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Dual process theory of reasoning: Contemporary issues and developmental applications

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.555288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32fe6850-62a6-4387-8374-ed69174da737 · outbound

This paper cites Conrmation bias: A ubiquitous phenomenon in many guises.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Conrmation bias: A ubiquitous phenomenon in many guises

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.427120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45e04515-c935-465c-9298-49ed5605a40d · outbound

This paper cites Culture and systems of thought: holistic versus analytic cognition.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Culture and systems of thought: holistic versus analytic cognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.309865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55302f6a-81be-4a27-b1f4-4dfbb4598691 · outbound

This paper cites Bayesian Rationality: The Probabilistic Approach to Human Reasoning.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Bayesian Rationality: The Probabilistic Approach to Human Reasoning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.210658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04f0e0fa-956e-4efc-babd-78e310c932c8 · outbound

This paper cites Gpt-3.5: A compact and ecient language model for diverse applications.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Gpt-3.5: A compact and ecient language model for diverse applications

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:54.069858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ffde375-02ad-4876-9589-2d71c80fd38e · outbound

This paper cites Gpt-4 technical report.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Gpt-4 technical report

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.942638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb920eed-a465-49b4-b0d4-5f68dec322f5 · outbound

This paper cites an unresolved cited work.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:29:53.835974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 450d9f13-fa62-482f-9fe1-15ef63af5013 · outbound

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

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Training language models to follow instructions with human feedback

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.699258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 910f6aa9-7632-4019-8e33-40f4898aebc9 · outbound

This paper cites Rational choice and the structure of the environment.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Rational choice and the structure of the environment

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.546970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a3bcb61-99c8-4e63-bd4b-e6d6413a4ba4 · outbound

This paper cites Models of bounded rationality: Empirically grounded economic reason, volume 3.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Models of bounded rationality: Empirically grounded economic reason, volume 3

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.435384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9eaf7e23-f76c-4942-ad8e-594bd3975b2d · outbound

This paper cites Rationality and the Reective Mind.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Rationality and the Reective Mind

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.312868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d3756ff-38f3-4c04-a80b-1af1f55127ca · outbound

This paper cites Stanovich and Richard F.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Stanovich and Richard F

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.142962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0fd36e5-2e5f-4ec5-8507-05840816cd00 · outbound

This paper cites The great rationality debate.Psychological Science, 13(1):94–99, 2002.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models The great rationality debate.Psychological Science, 13(1):94–99, 2002

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:53.006655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72c040f2-e0a9-4a05-95a5-a8988b587cfc · outbound

This paper cites Ecological Ratio- nality: Intelligence in the World.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Ecological Ratio- nality: Intelligence in the World

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:52.861792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab93ad0d-6860-4936-86df-ae9b082daa20 · outbound

This paper cites The psychological foundations of culture.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models The psychological foundations of culture

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:52.756112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c136ec9b-7798-4ad1-b1af-85d4b1d8c922 · outbound

This paper cites Judgment under uncertainty: Heuristics and biases.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Judgment under uncertainty: Heuristics and biases

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:52.588887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 882994d3-1343-46c1-beab-62b81cbcf618 · outbound

This paper cites Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:52.469863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51da76ff-cd10-4542-8fd3-1b12cac3d4e5 · outbound

This paper cites an unresolved cited work.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:29:52.376941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4ff70e1-824f-4ea9-984a-5821bad161dc · outbound

This paper cites Emergent Abilities of Large Language Models.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Emergent Abilities of Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:51.147214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe1fae8e-414d-4fb4-a455-f7bbb589490e · outbound

This paper cites Latest version of chatgpt aces bar exam with score nearing 90th percentile.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Latest version of chatgpt aces bar exam with score nearing 90th percentile

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:52.246836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9dfac648-fc75-4de5-9e0e-325755a60720 · outbound

This paper cites Ai in context: Task-specic reasoning and role adaptation.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Ai in context: Task-specic reasoning and role adaptation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:52.102702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ffbafe6b-7d02-4dcf-a8d2-d9efd32b092b · outbound

This paper cites Explanation by progressive disclosure: An ai-assisted decision- making framework.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Explanation by progressive disclosure: An ai-assisted decision- making framework

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:51.964261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d811753-e940-44dc-ac31-015173e41e44 · outbound

This paper cites Language models exhibit human-like biases: A study on an- choring and framing eects.

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models Language models exhibit human-like biases: A study on an- choring and framing eects

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:29:51.795364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers