Paper Citation Record · LEDGER

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2305.18354.

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

pith.paper-citation-record.v1
2305.18354 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:12:23.504571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:42:46.639059Z

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 8f32e8b5-ab85-4bed-9aa2-4155e1c9ed55 · inbound

Efficient Causal Graph Discovery Using Large Language Models cites this paper.

Efficient Causal Graph Discovery Using Large Language Models LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:25:28.630871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 944210b8-7ae7-48a4-a72b-73748ec38d8b · inbound

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding cites this paper.

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T23:12:23.504571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772d15b2-7fe3-4f7d-ba91-cc06e0cc063e · inbound

PRL: Prompts from Reinforcement Learning cites this paper.

PRL: Prompts from Reinforcement Learning LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:26:40.409032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45e196b6-fcf5-40c5-bd65-a60e246088e0 · inbound

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark cites this paper.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:50.685596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a64769-747e-4a1b-941d-68284a465387 · inbound

Reasoning Can Hurt the Inductive Abilities of Large Language Models cites this paper.

Reasoning Can Hurt the Inductive Abilities of Large Language Models LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:14.460164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224f0162-9798-4b74-9ead-d89b2de30caf · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:48.297503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7594c0cf-4664-46fe-b3ed-bbe6443f7bd1 · inbound

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending cites this paper.

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:53.373380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 124961d5-7bfa-4f46-8737-c33680050746 · inbound

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction cites this paper.

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T13:02:25.692131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65ebbfa-4f6e-4862-9a65-41caf63dc0a4 · inbound

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding cites this paper.

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:31:06.877288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb199822-cd46-4e71-9a6c-84feb08a99a1 · inbound

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data cites this paper.

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:18:40.118691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e1c0b61-6a18-4b9d-a281-246a18c83a8c · inbound

LLMs Struggle with Abstract Meaning Comprehension More Than Expected cites this paper.

LLMs Struggle with Abstract Meaning Comprehension More Than Expected LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:16:07.604255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7b87718-f53a-47de-b17a-2c08d6c21dc1 · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 168

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:05:09.146516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d560315-c02b-401f-bdde-8a28c5940af0 · inbound

No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows cites this paper.

No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:10.054253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06d0e347-9219-4da5-ae82-cff7a1f8a5f1 · inbound

GraphARC: A Comprehensive Benchmark for Graph-Based Abstract Reasoning cites this paper.

GraphARC: A Comprehensive Benchmark for Graph-Based Abstract Reasoning LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.640604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.