Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:07:25.306111Z

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 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 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.