query-time-series-through-code-context TEC-0287 · proposedQuery the time series through code, not in context
Store the full recording as a variable in a sandboxed Python REPL and let the model iteratively emit code (and optionally render plots or spawn sub-agents) to inspect segments before committing a structured answer.
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Store the full recording as a variable in a sandboxed Python REPL and let the model iteratively emit code (and optionally render plots or spawn sub-agents) to inspect segments before committing a structured answer. Filed by the drafting stage from TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series (2608.03391) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: On AnomalyXL-Localize, IoU 0.682 vs at most 0.329 for all single-pass LLM, TSLM and fine-tuned 32B Toto baselines; classify-with-evidence 0.745 vs below 0.08; zero-shot ECG/sleep IoU 0.271 vs under 0.004 for every TSLM. Scalar-magnitude task did not improve (0.440 to 0.480).. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.