Paper Citation Record · LEDGER

The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2305.07141.

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

pith.paper-citation-record.v1
2305.07141 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:53.238710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:02:50.462922Z

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 72a3e848-8351-4812-94db-87525415f8dc · inbound

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

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:53.238710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f710b1dc-d717-48f5-b6e8-1b3226d3f386 · inbound

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

EXP-Bench: Can AI Conduct AI Research Experiments? The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:45.976185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3a8214-6db7-4854-8c46-91ef7b765378 · inbound

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey cites this paper.

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:20.148999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398426f2-88c9-4b91-bf59-11acab7cceec · inbound

Less is More: Recursive Reasoning with Tiny Networks cites this paper.

Less is More: Recursive Reasoning with Tiny Networks The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:53:09.551996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9965a2c-7799-4554-9e43-271b2abce97e · inbound

Latent Reasoning in TRMs is Secretly a Policy Improvement Operator cites this paper.

Latent Reasoning in TRMs is Secretly a Policy Improvement Operator The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T21:06:30.009675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72d0830-192b-4969-986c-eba9665bff35 · inbound

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

Gradient-Based Program Synthesis with Neurally Interpreted Languages The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:56:08.113351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f27b2a9a-8254-461e-be74-f227a4f12d9a · inbound

RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs cites this paper.

RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:50:59.841006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bee69c28-d92e-430f-827a-d52915de6276 · 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 The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:20:24.987449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30d609d9-cbad-4152-9ff9-699239c859e1 · inbound

StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning cites this paper.

StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.464616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffc1d1bb-0548-4580-a222-f889f709314a · inbound

Interpretable GOHR Agents via Sparse Autoencoders cites this paper.

Interpretable GOHR Agents via Sparse Autoencoders The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T00:31:49.692564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.