Paper Citation Record · LEDGER

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2311.09247.

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

pith.paper-citation-record.v1
2311.09247 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:27.227402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:20:24.989962Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7da6d2cc-6077-4a69-aee2-6d0c9b4499c6 · inbound

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree cites this paper.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.682334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4632bb-c1c3-47d5-b645-9b17d2ca6cae · inbound

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) cites this paper.

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T19:03:03.674729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a229b78f-3780-448c-a1b1-d173bd3ee105 · inbound

NSA: Neuro-symbolic ARC Challenge cites this paper.

NSA: Neuro-symbolic ARC Challenge Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:38:17.044125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 154b3151-a0ff-4587-8650-bed769965df4 · inbound

The role of positional encodings in the ARC benchmark cites this paper.

The role of positional encodings in the ARC benchmark Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:59:12.453480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ef531a-2a64-4533-8747-93605bf1ab12 · inbound

Shuttle Between the Instructions and the Parameters of Large Language Models cites this paper.

Shuttle Between the Instructions and the Parameters of Large Language Models Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T12:41:02.353826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a623cb31-b245-4796-abf5-cd563d500e77 · inbound

Dynamic Reinforcement Learning for Actors cites this paper.

Dynamic Reinforcement Learning for Actors Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T19:07:25.306111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e1d08e-350f-494e-8164-6dd22258eaab · inbound

Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations cites this paper.

Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T11:21:27.227402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86865687-f376-431d-b2ac-e9f71a4231d9 · inbound

Position: We Need An Algorithmic Understanding of Generative AI cites this paper.

Position: We Need An Algorithmic Understanding of Generative AI Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 281

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.312698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89999269-3eea-455e-bb5d-6af01840d262 · inbound

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models cites this paper.

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:23.394811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17396821-1c1a-4754-8ba1-956915d3dbf3 · inbound

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning cites this paper.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:33.723349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38972492-867b-4820-ba5b-a34b77523092 · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:56:10.635749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5d2bd1f-ae62-4c31-8f79-c9230aeb5ea7 · inbound

VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images cites this paper.

VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:20:24.993024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 398dc536-ad14-4025-9cf6-cb15cbcb93b3 · inbound

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction cites this paper.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.