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Reed-Solomon Codes Against Insertions and Deletions: Full-Length and Rate-$1/2$ Codes

T0 review · 3 major / 5 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read This paper shows that full-length Reed–Solomon codes, whose evaluation points can be freely permuted, are almost always highly resistant to insertions and deletions: nearly every 2-dimensional code corrects a linear number of such errors…

desk verdict Solid insdel-RS paper: the k=2 characterization and the rate-1/2 construction are real progress, and the scary Claim 2 issue is a fixable typo, not a broken proof. read the letter →

arxiv 2501.11371 v2 pith:KMEAMYPV submitted 2025-01-20 cs.IT math.IT

classification cs.ITmath.IT MSC 94B3594B6511T71
keywords Reed–Solomoncodesinsertionsanddeletionsinsdelerrorsfull-lengthhalf-Singletonboundrate-1/2evaluationorderingsrankcriterion
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper asks whether Reed–Solomon (RS) codes, the standard algebraic codes for correcting substitutions, can also withstand insertions and deletions (insdel errors), where symbols are lost or injected and word length changes. The answer it defends is strongly positive when the code is full-length: for dimension 2, it completely lists the 'bad' orderings of the field that fail to correct even a single insdel error, and proves that for large fields almost all orderings yield codes correcting (1−δ)q insdel errors for any fixed δ>0. For arbitrary dimension k it proves that a full-length RS code correcting q/(10k) insdel errors exists once q is large enough. In the rate-1/2 regime it gives a polynomial-time algorithm constructing [2k,k]_q RS codes over fields of size q=O($k^{4}$) that correct a single insdel error, matching the best existential field-size bound known.

What carries the argument

The load-bearing object is the evaluation matrix V_{k,ℓ,I,J}(X), whose rows pair the monomials 1,X,…,$X^{{k−1}}$ evaluated at two increasing index sequences I,J of length ℓ. Lemma 2 (quoted from the companion paper [11]) says that if RS_{n,k}(α) cannot correct n−ℓ insdel errors, then some such matrix with d_H(I,J) ≥ ℓ−k+1 has rank below 2k−1. All of the paper's counting and existence statements flow from this reduction: Theorem 1 counts orderings for which every relevant V_{2,ℓ,I,J}(α) has full rank; Theorem 2 constructs disjoint families of (2k−1)×(2k−1) submatrices so that singularities become independent Schwartz–Zippel events; and the rate-1/2 induction of Theorem 3 rules out, for each pair of new evaluation points, the at most 5(k−1)^2 algebraic configurations in which two normalized polynomials agree on a long common subsequence.

What would settle it

For a small prime power q (say 7, 8, and 9), exhaustively enumerate all q! orderings and test which ones make RS_{q,2}(α) fail to correct a single deletion; if any failing ordering is not affinely equivalent to (0,1,θ,…,$θ^{{q−2}}$), its reverse, or (0,1,…,q−1) with q prime, the complete characterization of Lemma 4 is wrong. For the linear-fraction claim, compute the exact proportion of orderings that fail to correct (1−δ)q errors for the largest q one can enumerate and compare with the exponential decay bound $q^{2}$($4e^{2}$/($δ^{2}$ q))^{δ q} asserted in Claim 2.

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Extended reading notes

Core claim

The paper's central claim is that the insdel performance of a full-length Reed–Solomon code is governed almost entirely by the ordering of the evaluation points, and that almost every ordering is good. Concretely, every permutation α of F_q that makes RS_{q,2}(α) unable to correct a single deletion is affinely equivalent to one of three explicitly listed sequences — a cyclic subgroup orbit, its reversal, or the natural ordering (0,1,…,q−1) when q is prime. For any 0<δ<1, the fraction of orderings for which the code fails to correct (1−δ)q insdel errors drops exponentially in q, so at least 1−ε of all full-length 2-dimensional RS codes correct any linear number of insdel errors once q exceeds a threshold depending on δ and ε. For general k, a probabilistic argument using disjoint-variable submatrices and Schwartz–Zippel shows that some ordering of F_q yields an RS_{q,k} code correcting q/(10k) errors whenever q ≥ $e^{{6k}}$·($10ek^{3}$). Finally, the paper constructs optimal rate-1/2 codes: the smallest field for a [4,2] RS code correcting a single insdel error is F_7, and induction on the dimension yields a deterministic polynomial-time construction of [2k,k]_q codes with q=O($k^{4}$) that meet the half-Singleton bound.

Load-bearing premise

Everything rests on the lemma, taken as a black box from a companion paper, that a code which fails to correct n−ℓ insdel errors must contain two index sequences I,J for which the evaluation matrix V_{k,ℓ,I,J}(α) drops rank; if that implication were false, the 'almost all orderings' claim for dimension 2 and the existence results for general k would not follow.

Editorial extensions

If this is right

  • A uniformly random full-length 2-dimensional RS code over a large field corrects any linear number of insdel errors with overwhelming probability.
  • For every dimension k, full-length RS codes exist that correct q/(10k) insdel errors, so the ordering of F_q is never the bottleneck for linear resilience when q is large.
  • Rate-1/2 RS codes meeting the half-Singleton bound exist over fields of size O(k^4) and can be constructed in polynomial time, demystifying the existential bounds of [1].
  • Because insdel correction depends so strongly on the ordering, the evaluation vector itself becomes a design tool: rearranging the same field elements can change a code from correcting nothing to correcting a linear fraction of errors.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The rank-criterion method should transfer to generalized RS codes and to shortened or subcodes: the same V_{k,ℓ,I,J} matrices appear whenever evaluation points are chosen, so the counting technique likely gives 'almost all' statements for those families too.
  • The O(k^4) field size in Theorem 3 is an artifact of the induction's worst-case counting; for small k the true minimal field size can be computed exactly (e.g., q=7 for k=2), and a data-driven guess is that the exponent drops below 4 for larger k.
  • Explicitly constructing the good orderings promised by Theorem 1 is left open; derandomizing the Schwartz–Zippel/union-bound proof (e.g., via small-biased sets or pseudorandom permutations) is a natural next step.
  • The three bad-order classes of Lemma 4 are all orbits of a cyclic subgroup of AGL(1,q) — the natural ordering is but one instance — suggesting that insdel resilience is tied to the affine geometry of the field, a connection worth making precise.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 5 minor

Summary. The paper studies Reed–Solomon codes against insertion and deletion errors in two regimes. For full-length RS codes (n=q), it characterizes all orderings of F_q for which the 2-dimensional code fails to correct a single insdel error; proves that for large q, a (1-ε) fraction of all orderings yield RS_{q,2} codes correcting (1-δ)q insdel errors; and proves, by a probabilistic argument, the existence of a full-length RS_{q,k} code correcting q/(10k) insdel errors. In the second part, the paper gives an induction-based polynomial-time construction of rate-1/2 RS codes correcting a single insdel error over fields of size q=O(k^4), matching the existential bound of Con–Shpilka–Tamo. The authors explicitly note that the lower bound in Proposition 1 is loose because potential equivalences are overcounted, and they leave explicit constructions for the random-ordering result as an open problem.

Significance. If the results stand, they are substantial: Theorem 1 would show that a uniformly random full-length 2-dimensional RS code corrects a linear number of insdel errors with high probability, a regime not previously established; Theorem 3 provides the first polynomial-time construction of rate-1/2 RS codes matching the existential field-size bound. The paper builds on previously published algebraic criteria (Lemma 2, Schwartz–Zippel, the half-Singleton bound) rather than introducing circular definitions, and the counting strategy is natural. However, the printed proofs contain several load-bearing display inconsistencies in the central estimates; these are readily fixable, but until corrected the theorems are not fully supported as written.

major comments (3)
  1. [§3.2, Proposition 2 and Claim 2] The displayed sum in Proposition 2 contains the factor q^{s-ℓ-1}, whereas the counting proof (in particular, the paragraph after Claim 1 establishing the bound (q-s)!·q·(q-1)·∏(q-i)) yields the factor q·(q-1) instead. This is not merely cosmetic: in Claim 2 the printed inequality (q-1)q^{s-δq-1}∏_{i=0}^{s-δq-1}(q-i) ≤ q^{s-δq+2} is false. Writing t=s-δq, the left-hand side has degree 2t in q while the right-hand side has degree t+2; for t≥3 the inequality fails by a factor q^{t-2}. For example, at q=100, δ=1/2, s=q, the printed summand is enormously larger than the claimed upper bound q^2(4e^2/(δ^2 q))^{δq}. Since Theorem 1's proof relies on Claim 2, the printed proof does not establish the theorem. Replacing the displayed q^{s-ℓ-1} by q, matching Claim 1, makes Claim 2's estimate valid and the proof goes through.
  2. [§3.3, proof of Theorem 2] The proof defines ℓ=q-q/(16k) in its first sentence, but the subsequent estimate (k^2/q)^{ℓ/(4k)} (q choose ℓ)^2 ≤ (k^2/q)^{q/(5k)} (eq/(q/(10k)))^{q/(5k)} requires ℓ=q-q/(10k), as the text itself states: 'which implies that ℓ=q-q/(10k)'. With the printed value ℓ=q-q/(16k), the compensation (q choose ℓ)=(q choose q/(10k)) used to obtain (10ek)^{q/(5k)} is unavailable, and the displayed bound does not follow. The proof is repaired by defining ℓ=q-q/(10k) from the start; for k≥2 this still gives ℓ/(4k)>q/(5k), so the subsequent chain of inequalities is valid.
  3. [Preliminaries, Lemma 3] The statement of Lemma 3 has an off-by-two error. The condition on the right, f_{a,b}(α_I)≠α_J for all increasing I,J∈[n]^ℓ with d_H(I,J)≥ℓ-1, rules out common subsequences of length ℓ; hence it gives LCS≤ℓ-1 and therefore ED(C)≥2n-2ℓ+2, not ED(C)=2n-2ℓ. The later use in Lemma 6, where n=4 and ℓ=3 is used to obtain the optimal distance 4, is consistent with the corrected statement 'insdel distance at least 2n-2ℓ+2' (with equality implied by the half-Singleton bound in that application). The lemma statement should be corrected, or the notion of 'insdel distance' used there should be clarified.
minor comments (5)
  1. [Table 1] The entries for q=5 and q=7 do not match the lower bound of Proposition 1: the proposition gives at least 1/6 ≈ 0.167 for q=5 and at least 115/120 ≈ 0.958 for q=7, while the table reports 0.333 and 0.967. Since the text says the table evaluates the bound in Proposition 1, either the table reports exact proportions from a stronger analysis or the values should be corrected.
  2. [Theorem 1 statement] The theorem states 'Let ε, δ > 0' but the meaningful range is 0<δ<1; for δ≥1 the expression (1-δ)q is non-positive and the statement is not what the proof addresses.
  3. [Proof of Theorem 3] In the running-time analysis, the sentence 'since k=Θ(q^4)' should read 'since q=Θ(k^4)'.
  4. [After Proposition 1] The note that the lower bound may overcount bad equivalence classes is correct and appropriately caveats the bound; however, the table should be labeled consistently as either the lower bound or an exact count.
  5. [Proof of Theorem 2] The phrase 'agree on at most k-1 coordinates' is used without relating it to Lemma 2's condition d_H(I,J)≥ℓ-k+1; relating the two explicitly would improve readability and avoid confusion with Hamming agreements of the index sequences.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: Theorem 1's counting argument rests on external algebraic lemmas and standard probabilistic bounds, not on self-referential definitions or fitted parameters.

full rationale

The paper's core claims (Theorems 1, 2, and 3) are derived from the definition of longest common subsequence, the half-Singleton bound (Theorem 4), Lemma 2 from [11], Lemma 3 from [30], and the Schwartz-Zippel lemma. None of these inputs is defined in terms of the paper's conclusions. Lemma 2 is a previously published, parameter-free algebraic necessary condition for an RS code to fail insdel correction; although reference [11] shares an author with the present paper (R. Con), the paper does not cite [11] for the target result itself or for any uniqueness or optimality claim. The counting argument in Proposition 2 uses Lemma 2 only as a black-box criterion and then bounds the number of orderings satisfying that criterion; this is ordinary derivation, not circularity. Likewise, Theorem 2 uses union bounds, the Schwartz-Zippel lemma, and a determinant-nonzero claim from [1], all external and with assumptions that do not include the target conclusion. Section 4 is a constructive inductive existence proof with a polynomial-time algorithm; there are no fitted parameters renamed as predictions. The suspected error in Claim 2 identified by the skeptic is a correctness concern: if the tail bound is indeed off by an exponential factor, then Theorem 1's proof is invalid as written, but an invalid bound does not make the derivation equivalent to its inputs. Under the circularity criteria, the paper is self-contained against external benchmarks and exhibits no self-referential reduction, so the appropriate score is 0.

Assumptions & free parameters 0 free parameters · 6 assumptions · 0 invented entities

The paper introduces no free parameters or invented entities. It relies on published external lemmas: the algebraic rank condition [11], the AGL characterization for k=2 [30], the non-zero determinant property [1], Schwartz-Zippel, and Stirling's approximation. These are standard or previously derived results; the co-authorship of some references does not create circularity because those results are independently published and proved.

assumptions (6)
  • domain assumption Lemma 2 from [11]: an RS code fails to correct n-ℓ insdel errors iff there exist increasing I,J of length ℓ with d_H(I,J) ≥ ℓ-k+1 and rank(V_{k,ℓ,I,J}(α)) < 2k-1.
    External algebraic criterion underpinning the counting in Theorems 1 and 2.
  • standard math Schwartz-Zippel lemma
    Used in Theorem 2 to bound the probability a random evaluation makes a submatrix singular.
  • standard math Stirling's approximation
    Used in Claim 2 and Claim 3 to bound factorials.
  • domain assumption Half-Singleton bound (Theorem 4, [29])
    States optimal LCS ≥ 2k-2 for rate-1/2 linear codes; used to define optimality in Section 4.
  • domain assumption Lemma 3 from [30, Lemma 4.10] for k=2 (AGL characterization)
    Used in Lemma 4 and Lemma 6 to characterize when a 2D RS code has LCS ≤ ℓ-1.
  • domain assumption Non-zero determinant of top (2k-1)x(2k-1) submatrix of V is a non-zero polynomial of degree < k^2 ([1, Prop 18])
    Used in Theorem 2's Schwartz-Zippel application.

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Pith. "Pith review of Reed-Solomon Codes Against Insertions and Deletions: Full-Length and Rate-$1/2$ Codes." pith.science (2026). https://pith.science/paper/KMEAMYPV

@misc{pith2026250111371,
  author       = {Pith},
  title        = {Pith review of: Reed-Solomon Codes Against Insertions and Deletions: Full-Length and Rate-$1/2$ Codes},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/KMEAMYPV}},
  note         = {Machine review of arXiv:2501.11371}
}
abstract

The performance of Reed--Solomon codes (RS codes, for short) in the presence of insertion and deletion errors has attracted growing attention in recent literature. In this work, we further study this intriguing mathematical problem, focusing on two regimes. First, we study the question of how well full-length RS codes perform against insertions and deletions. For 2-dimensional RS codes, we provide a complete characterization of codes that cannot correct even a single insertion or deletion. Furthermore, we prove that for sufficiently large field size~$q$, nearly all full-length $2$-dimensional RS codes can correct up to $(1 - \delta)q$ insertion and deletion errors for any $0 < \delta < 1$. Extending beyond the 2-dimensional case, we show that for any $k \ge 2$, there exists a full-length $k$-dimensional RS code capable of correcting $q / (10k)$ insertion and deletion errors, provided $q$ is large enough. Second, we focus on rate $1/2$ RS codes that can correct a single insertion or deletion error. We present a polynomial-time algorithm that constructs such codes over fields of size $q = \Theta(k^4)$. This result matches the existential bound given in \cite{con2023reed}.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Linear List Decodable Edit-Correcting Codes with Rate Approaching $1$

    cs.IT 2025-06 conditional novelty 8.0 of 10

    For every small eta, explicit binary linear list-decodable codes correct an eta fraction of insertions and deletions with rate 1-O(eta^(1/4)) and polynomial-time encoding and decoding.

  2. Decoding Insertions/Deletions via List Recovery

    cs.IT 2025-05 conditional novelty 6.0 of 10

    Any (ρ, 2ρn+1, L)-list-recoverable code is a (ρ, L)-list-decodable insdel code, yielding the first polynomial-time insdel decoder for [n,k] Reed-Solomon codes with k > 2.

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