Evidence map›Paper›PMID 42459348›Full record

ArticleComputational brain & behavior2026

Context Size and Set Size Effects: The Relevance of Specific Cues When Searching Long-Term Memory.

Susanne Haridi, Eric Schulz, Mirko Thalmann

Abstract read
In one paragraph

Article in Computational brain & behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Susanne HaridiInstitute for Human-Centered AI, Helmholtz Munich, Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany.ORCID https://orcid.org/0000-0002-5738-2236
Eric SchulzInstitute for Human-Centered AI, Helmholtz Munich, Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany.
Mirko ThalmannInstitute for Human-Centered AI, Helmholtz Munich, Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany.ORCID https://orcid.org/0009-0007-5611-7629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retrieving the relevant information from our knowledge and experiences poses a challenging problem to our memory system. In this study, we explore how retrieval of specific pieces of information from long-term memory is affected by the number of items to be remembered and by the characteristics of retrieval cues. Specifically, we looked at whether an increased semantic similarity between cue and target improves recall and whether additional context cues aid retrieval depending on their features and specificity. Using a cued-recall task, we observed across three experiments that increasing the number of learned word pairs slowed reaction times (RTs) and reduced retrieval accuracy. This effect was modulated by context: set size effects did not extend across multiple, unrelated lists. Semantic similarity between cues and targets consistently facilitated retrieval, independent of set size. Experiment 2 revealed no effect of additional visual context cues on RTs, while Experiment 3 demonstrated that larger semantic contexts hindered recall, leading to slower RTs and lower accuracy compared to unrelated lists. These findings are consistent with predictions from a model of memory portraying retrieval as a sequential search through a semantic network.

Indexed as

ComplexityLong-term memoryRecallRetrievalSearchSet sizeSimilarity

Identifiers

PMID42459348
PMCPMC13293028

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.