chore(rlm): drop "Algorithm 1" from user-facing status strings

Keep the paper reference in code/doc comments where it actually helps a
future reader; the live status line just needs to say what's happening,
not cite the citation.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Hunter Bown
2026-04-27 00:51:17 -05:00
parent bd938a559c
commit 950a66c24a
4 changed files with 5 additions and 5 deletions
+2 -2
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@@ -316,7 +316,7 @@ pub const COMMANDS: &[CommandInfo] = &[
CommandInfo {
name: "rlm",
aliases: &["recursive"],
description: "Recursive Language Model (RLM) — process a prompt via Algorithm 1 from Zhang et al. (arXiv:2512.24601). The prompt is stored in a REPL; the model writes code to process it.",
description: "Recursive Language Model (RLM) turn — store the prompt in a Python REPL and let the model write code to process it, with `llm_query()` / `sub_rlm()` for sub-LLM calls.",
usage: "/rlm <prompt>",
},
// Debug/cost command
@@ -458,7 +458,7 @@ pub fn rlm(app: &mut App, arg: Option<&str>) -> CommandResult {
CommandResult::with_message_and_action(
format!(
"Starting RLM turn (Algorithm 1) for {} chars of prompt using {} (child={}, depth={})...",
"Starting RLM turn for {} chars of prompt using {} (child={}, depth={})...",
prompt.len(),
model,
child_model,
+1 -1
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@@ -1685,7 +1685,7 @@ impl Engine {
let _ = self
.tx_event
.send(Event::status("RLM turn started (Algorithm 1)".to_string()))
.send(Event::status("RLM turn started".to_string()))
.await;
let result = run_rlm_turn(
+1 -1
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@@ -200,7 +200,7 @@ async fn run_rlm_turn_inner_impl(
let _ = tx_event
.send(Event::status(format!(
"RLM turn started (Algorithm 1) — root={model}, child={child_model}, max_depth={max_depth}"
"RLM turn started — root={model}, child={child_model}, max_depth={max_depth}"
)))
.await;
+1 -1
View File
@@ -2343,7 +2343,7 @@ async fn apply_command_result(
child_model,
max_depth,
} => {
app.status_message = Some("RLM turn starting (Algorithm 1)...".to_string());
app.status_message = Some("RLM turn starting...".to_string());
let _ = engine_handle
.send(Op::RlmQuery {
content: prompt,