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Record W3169525880

Three Cousins of Recamán's Sequence

2020· article· en· W3169525880 on OpenAlexaff
Joseph Samuel Myers, Richard Schroeppel, Paul Zimmermann

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2020
Typearticle
Languageen
FieldComputer Science
TopicCoding theory and cryptography
Canadian institutionsTrinity College
Fundersnot available
KeywordsCombinatoricsConcatenation (mathematics)Sequence (biology)ConjectureMultiplicative functionProduct (mathematics)MathematicsArithmeticGeometryChemistry
DOInot available

Abstract

fetched live from OpenAlex

Although $10^{230}$ terms of Recaman's sequence have been computed, it remains a mystery. Here three distant cousins of that sequence are described, one of which is also mysterious. (i) ${A(n), n\geq 3}$ is defined as follows. Start with $n$, and add $n+1, n+2, n+3$, . . ., stopping after adding $n + k$ if the sum $n + (n + 1) + . . . + (n + k)$ is divisible by $n + k + 1$. Then $A(n) = k$. We determine $A(n)$ and show that $A(n) \leq n 2 − 2n − 1$. (ii) ${B(n), n\geq 1}$ is a multiplicative analog of ${A(n)}$. Start with $n$, and successively multiply by $n + 1, n + 2, . . .,$ stopping after multiplying by $n + k$ if the product $n(n + 1)⋯(n + k)$ is divisible by $n + k + 1$. Then $B(n) = k$. We conjecture that $log^2 B(n) = (\frac{1}{2} + o(1)) \log {n} \log \log n$. (iii) The third sequence, ${C(n), n\geq 1}$, is the most interesting, because the most mysterious. Concatenate the decimal digits of $n, n + 1, n + 2, . . .$ until the concatenation $n\Vert n + 1 . . . \Vert n + k$ is divisible by $n + k + 1$. Then $C(n) = k$. If no such $k$ exists we set $C(n) = −1$. We have found $k$ for all $n \leq 1000$ except for two cases. Some of the numbers involved are quite large. For example, $C(92) = 218128159460$, and the concatenation $92\Vert 93\Vert . . . \Vert(92+C(92))$ is a number with about $2 \cdot {10}^{12}$ digits. We have only a probabilistic argument that such a $k$ exists for all $n$.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.222
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

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