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RepoExec

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-09-10 / skill-finderRetrieval that crosses into your dependencies' source, not just your repo, adds up to 6.3% pass@1 and survives version changesCrossCoder builds a unified knowledge graph over both repository and external library entities, picks important nodes via planning and semantic retrieval, then selectively expands neighbours for multi-hop evidence, addressing the gap where local-only retrieval leaves external API usage dependent on pretrained knowledge that fails on unseen or version-specific APIs. It also introduces VersionExec, an execution-based benchmark derived from BigCodeBench that scores generation under different dependency versions. Gains reach 6.3% pass@1 on RepoExec, DevEval and VersionExec, with improved robustness to version drift. VersionExec is the more reusable output here, since dependency-version compatibility is otherwise untested by standard code benchmarks.
2026-09-02 / skill-finderRetrieving repo context at the specific tokens where generation goes wrong beats task-level RAG by 15%ACToR observes that repository-level generation errors concentrate at a small number of decisive positions, and once such a token is wrong the rest of the code follows an incorrect semantic path. Instead of front-loading retrieved context at task level, it identifies these critical tokens during decoding and fires targeted retrieval at them, plus a position-aware weighting for the dense retriever. Relative gains are 8.4% on RepoExec and 15.4% on CoderEval. The repo at DeepSoftwareAnalytics/ACToR exists and was pushed September 1 but has 0 stars, so the code is published and unexamined.
2026-07-30 / skill-finderGroup repo-RAG evidence by canonical code object, not by fragment — Recall@4K jumps 39.6% → 63.7% while using 36% fewer tokensVITAL-RAG (submitted July 29, 2026) names the failure mode most repo-level RAG has: fragments from the same function or class get treated as separate hits, so redundant renderings of one object eat multiple context slots and crowd out genuinely different code. The fix is to canonicalize evidence per code object, admit at most one companion fragment and only when it carries semantics the canonical view lacks, then render under both per-object and global token budgets. On RepoBench this lifted Recall@4K from 39.59% to 63.67% while cutting evidence tokens 35.63%, and it took the top raw Pass@1 on RepoExec — a rare case where the dedup and the budget both pull the same direction.
2026-07-29 / skill-finderAn uncertainty-aware RAG framework hit 78.13% on repo-level code gen — and a plain verify-and-repair loop matched itOpenCoder estimates source-specific uncertainty across API knowledge, repository context, and similar-code evidence, then uses it to filter and rank evidence and to guide generation, verification, and repair. On an expanded 32-task RepoExec-inline evaluation it lifts GPT selected-output correctness from 56.25% to 78.13%, and target-aware API refinement substantially improves API-set retrieval. The authors report honestly that it merely matches a verification-and-repair control and that the Gemini improvement is not statistically supported — a factorial analysis also found no universal ranking of evidence sources, only cross-source interactions that depend on the backend. Build the cheap verify-and-repair loop first.

Graph relationships

BENCHMARKED AGAINST
CrossCoder
CrossCoder gains reach 6.3% pass@1 on RepoExec.
Source finding
BENCHMARKED AGAINST
CrossCoder -> RepoExec
CrossCoder gains reach 6.3% pass@1 on RepoExec.
Source finding

Source trail

arXiv 2609.09242 CrossCoder arXiv 2609.01601 — Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation arXiv 2607.26937 — VITAL-RAG: Invariance Race for Context Allocation in Coding Agents arXiv 2607.24884 — Beyond "What to Retrieve": Uncertainty in Retrieval-Augmented Code Generation

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