Three Cousins of Recamán's Sequence
Bibliographic record
Abstract
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 $n$.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".