Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:03.701720Z
Paper Citation Record · LEDGER
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.07322.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact1
- verified fuzzy1
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a3ec995c-f676-4c6c-9287-b155e333362b · outbound
This paper cites A Neurodiversity-Inspired Solver for the Abstraction \& Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) A Neurodiversity-Inspired Solver for the Abstraction \& Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.636272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f916310f-667e-44c9-be57-449b1ec664bb · outbound
This paper cites Neural networks for abstraction and reasoning: Towards broad generalization in machines.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Neural networks for abstraction and reasoning: Towards broad generalization in machines
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.647358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 454b67b2-4b1c-46f8-a7d2-5071f10b59cc · outbound
This paper cites CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.653292Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f4632bb-c1c3-47d5-b645-9b17d2ca6cae · outbound
This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.
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 094e90b9-fdc6-4f74-8391-96507ddfa77e · outbound
This paper cites The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.680296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ac67aa2-6fb8-4917-b4cd-c38ba4bb52a4 · outbound
This paper cites In Pro- ceedings of the 2019 Conference on Empirical Methods in Natural Language Processing.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) In Pro- ceedings of the 2019 Conference on Empirical Methods in Natural Language Processing
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:03:04.006042Z
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 f3221419-1e72-4f62-b734-42fbc15c851b · outbound
This paper cites Hypothesis Search: Inductive Reasoning with Language Models.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Hypothesis Search: Inductive Reasoning with Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.688764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20aec37d-dfed-451f-b259-f0533769bcd6 · outbound
This paper cites LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.696591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 986a070a-e721-430f-a782-4ef461475f67 · outbound
This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Multi-Scale Context Aggregation by Dilated Convolutions
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.701720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6282bd35-fec3-48e9-a681-b85a6108b4a4 · outbound
This paper cites On the Measure of Intelligence.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) On the Measure of Intelligence
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.658965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24675a92-de6a-4b4c-9b85-e9d8dde4444e · outbound
This paper cites DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.664781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71c0edf5-3c83-4d8b-af0a-0ecc2d72af08 · outbound
This paper cites Supervised Contrastive Learning.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Supervised Contrastive Learning
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.670396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 397ad085-c6a2-4954-9ec2-b0e62556d03a · outbound
This paper cites Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T19:03:03.780082Z
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 2b261310-73fd-4603-bdb5-e1be16d374b6 · outbound
This paper cites Communicating Natural Programs to Humans and Machines.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Communicating Natural Programs to Humans and Machines
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.630594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f827babd-9b11-40d3-adbd-cd3c582d69f2 · outbound
This paper cites HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:03:03.641859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.