{"id":"dd36b044-35ef-48e1-901e-95d4833a07fb","arxiv_id":"2508.09129","paper_version":1,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":4.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":3,"one_line_summary":"BrowseMaster, a programmatically augmented planner-executor agent, reports 30.0 on BrowseComp-en and 46.5 on BrowseComp-zh, beating the open and proprietary baselines it compares against.","lead":"A web-browsing AI agent, BrowseMaster, splits the job into a planner that steers the search and an executor that delivers clean, short evidence, reporting 30.0 on BrowseComp-en and 46.5 on BrowseComp-zh, above the compared open and closed baselines. A generalist should read it because it is a concrete recipe for balancing deep multi-step reasoning with broad web coverage in research agents.","discovery_kind":"extension","skeptic_critique":{"model":"deepseek-v4-flash","headline":"Empirical claim cannot be attributed to the submission: the supplied full text is unreadable and its header identifies arXiv:2508.09131 [cs.GR], not 2508.09129, so the headline scores are unsupported.","rationale":"The reader's verdict of UNVERDICTED is the right epistemic state: the central claim is an empirical superiority claim, and the only legible evidence is the abstract. The most load-bearing concern is not the architectural premise about information-preserving distillation, though that is a reasonable secondary concern; it is that the supplied full text cannot be attributed to the paper. The header explicitly identifies arXiv:2508.09131v3 [cs.GR], a different document, and the rest of the body is corrupted. Under the reviewing rule, this inserted passage is evidence and cannot be dismissed as a pipeline artifact. Without attributable methods and tables, the headline numbers 30.0 and 46.5 are unsupported. The correct adjustment is none: the reader's UNVERDICTED remains appropriate. I partially agree with the reader's weakest-assumption analysis: the compression-loss risk is plausible, but it is premature relative to the attribution problem. A clean, attributable manuscript could resolve the concern; a single verification step is to retrieve the official 2508.09129 source and check both header consistency and the exact result tables with budget-matching details.","tokens_in":23605,"tokens_out":1975,"duration_ms":24808,"concrete_test":"Download the official arXiv source or HTML for 2508.09129 and verify that the title, abstract, and header match the reviewed submission. Then locate the main results table(s) and confirm the BrowseComp-en score 30.0 and BrowseComp-zh score 46.5 appear for BrowseMaster, with the comparison baselines listed, identical search tool and query budget across systems, same LLM backbone where applicable, and at least one variance or per-run breakdown. If the header still points to 2508.09131 or the tables are absent/illegible, the central claim remains unverified.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The central claim is that BrowseMaster achieves 30.0 on BrowseComp-en and 46.5 on BrowseComp-zh and consistently outperforms open-source and proprietary baselines. For that claim to hold, the evaluation must be attributable to this paper: we need the method details, baseline settings, search budget, LLM backbone, and result tables. The supplied full text cannot provide this. Per the reviewing rule, the inserted header 'arXiv:2508.09131v3 [cs.GR] 3 Feb 2026' is in-scope evidence, and it identifies a different document than the reviewed submission (2508.09129, cs.AI). The remainder of the body is corrupted and mostly illegible, with no readable methods, tables, ablations, baseline configurations, or variance information. Thus the abstract's comparative performance numbers are abstract-level assertions, not verifiable findings. This is not an internal inconsistency in the architecture; it is a load-bearing evidentiary gap: the condition that the reported scores actually belong to BrowseMaster under a fair, budget-matched protocol is unsupported by any attributable manuscript content. The reader's secondary concern about executor distillation preserving task-critical information is plausible but cannot be tested here because the executor's design and evaluation are unavailable. Consequently, the honest verdict remains UNVERDICTED rather than ACCEPT, CONDITIONAL, or REJECT.","agreement_with_reader":"partial"},"referee_report":{"model":"deepseek-v4-flash","summary":"The abstract claims a new web-browsing agent framework, BrowseMaster, built from a programmatically augmented planner and an executor. The planner formulates and adapts search strategies, while the executor performs targeted retrieval and supplies concise evidence. The paper reports scores of 30.0 on BrowseComp-en and 46.5 on BrowseComp-zh and claims consistent improvements over open-source and proprietary baselines. However, the supplied full text is largely unreadable, and the visible header identifies arXiv:2508.09131v3 [cs.GR], not the target arXiv:2508.09129 [cs.AI]. As a result, the method, experimental setup, and result tables cannot be verified from the submitted manuscript.","tokens_in":23849,"tokens_out":3713,"duration_ms":44177,"significance":"If the reported scores are correct and were produced under a fair, budget-matched protocol, the planner-executor division with tool-augmented programmatic control would be a plausible and useful contribution to long-horizon web information seeking. The external BrowseComp benchmark gives the central claim independent grounding, and the abstract does not show circularity. However, the submission provides no readable methodology, no baseline configuration, no variance or run-level data, no ablation, and no code. The central empirical claim is therefore unattributable from the text supplied, and the archival value of the paper cannot currently be assessed.","major_comments":[{"comment":"The full text contains the line \"arXiv:2508.09131v3  [cs.GR]  3 Feb 2026,\" while the reviewed submission is arXiv:2508.09129 [cs.AI]. This mismatch is load-bearing: the abstract's scores and architecture description are presented for BrowseMaster, but the accompanying body is not the same document. The methods and results that would support the empirical claims are absent, and I cannot attribute the reported numbers to this paper. This must be resolved before any further evaluation.","section":"Manuscript header / identity"},{"comment":"The abstract reports exact point scores of 30.0 on BrowseComp-en and 46.5 on BrowseComp-zh with no number of runs, no seed range, no variance or confidence intervals, and no statement of search/query budgets or LLM backbone. The body, even where partially legible, does not provide a baseline table or budget-matched protocol. The claim \"consistently outperforms\" therefore has no quantitative support; run-level comparisons with controlled tool access, query counts, and model settings are needed.","section":"Abstract, reported scores"},{"comment":"The framework's advantage depends on the executor distilling raw pages into \"concise, relevant evidence\" without losing task-critical information. The abstract provides no analysis, ablation, or failure examples showing that compression is information-preserving for the final answer. If the executor discards a fact that the planner cannot later request, long-horizon reasoning degrades, and the claimed advantage would collapse. The unreadable full text prevents checking whether such an analysis exists.","section":"Abstract, executor compression premise"}],"minor_comments":[{"comment":"The supplied body is almost entirely mojibake/corrupted; a readable PDF or LaTeX source must be provided for review.","section":"Full text"},{"comment":"The running header should match the submitted arXiv ID and subject classification; the current header points to a different paper.","section":"Header"},{"comment":"No table, figure, equation, or reference can be reliably checked from the corrupted text; all presentation elements need to be re-supplied.","section":"References/tables"}],"recommendation":"uncertain","confidential_remarks":"This submission appears to have a document-integrity problem: the full text received is corrupted and its header identifies a different arXiv paper (2508.09131, cs.GR). I cannot judge the technical merits because the method and evaluation are not legible or attributable. I am not recommending rejection on the substance; I recommend that the editor verify the file identity and, if the correct manuscript can be obtained, have the paper re-reviewed. If the provided text is indeed what the authors submitted, then the claims in the abstract are unsupported and the paper should not proceed."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"The bottom line is that this paper cannot be evaluated as submitted. The full text we were given is corrupted, and the one readable header identifies arXiv:2508.09131v3 [cs.GR], not this submission. Per protocol I have to flag that as in-scope evidence, and it means the abstract's BrowseComp scores (30.0 and 46.5) are assertions attached to an unverifiable body. That is a load-bearing evidentiary gap, not a minor formatting issue.\n\nTo give credit where it is due: the abstract makes a clear, sensible design pitch. A planner that adapts search strategy plus an executor that hands back concise evidence summaries is a reasonable response to the noise-overload problem in long-horizon browsing. The 46.5 on BrowseComp-zh would be a useful community data point if it holds. And there is nothing misleading in the abstract itself; the problem is that we cannot check what lies behind it.\n\nThe soft spots follow from that gap. There is no attributable methods section, so the usual empirical checks -- budget matching, LLM backbone, number of runs, variance, baseline settings -- are all unavailable. The reader's weaker-assumption concern, that the executor's distillation might discard facts the planner never knows to request, is plausible but secondary; it cannot even be tested until we see the design. Also, the planner-executor split is not new on its own; whatever \"programmatic augmentation\" adds is the actual novelty claim, and we cannot evaluate it from the abstract.\n\nIn short: the architecture is plausible and the reported numbers would matter if real, but the submission gives no way to attribute them. If a clean, readable version exists, this is exactly the kind of empirical claim that deserves a serious referee. As it stands, do not cite it, and only bring the abstract to a reading group as a case study in what an abstract can and cannot establish. Ask the authors for the actual PDF before doing anything else.","headline":"Plausible recipe, unreadable submission: the BrowseComp scores are abstract-level claims without an attributable method section, so treat the paper as unverifiable until a clean copy surfaces.","tokens_in":24432,"tokens_out":2085,"would_cite":false,"duration_ms":25813,"reading_group":"maybe","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"deepseek-v4-flash","headline":"A planner that decides what to search and an executor that returns distilled evidence outperform single-agent web browsers on two hard benchmarks.","keywords":["BrowseMaster","web browsing agent","planner-executor","tool-augmented agent","long-horizon reasoning","BrowseComp benchmark","information seeking"],"falsifier":"Take a BrowseComp-style task whose answer is embedded in a single low-ranked sentence of a long page. If the executor's summary omits that sentence, the planner will fail even though the raw page contains the answer; observing such a failure at scale would show the distillation step discards task-critical information. Concretely, compare BrowseMaster's accuracy when the executor returns raw retrieved text versus its summary; if accuracy does not drop, evidence distillation is not the source of the claimed gain.","tokens_in":23422,"feed_emoji":"🤖","tokens_out":3659,"duration_ms":41586,"temperature":0.7,"pith_summary":"BrowseMaster is a two-agent architecture for web browsing: a planner that decides what to search for next, and an executor that fetches pages and hands the planner short evidence summaries instead of raw HTML. The paper claims this division of labor breaks a bottleneck that has limited single-agent LLM browsers: either they search too narrowly to cover sources, or they drown in noisy page content and lose the thread of multi-step reasoning. On the BrowseComp-en and BrowseComp-zh benchmarks, BrowseMaster scores 30.0 and 46.5, consistently beating open-source and proprietary baselines. A sympathetic reader takes this as evidence that separating search strategy from evidence extraction is a scalable recipe for complex, reasoning-heavy information seeking.","feed_headline":"Planner-executor agent pair beats single-agent web browsing","feed_subtitle":"Separating search strategy from evidence gathering lifts scores on English and Chinese BrowseComp.","key_machinery":"The machinery is the evidence-distillation handoff between the planner and the executor. The planner maintains the task-level reasoning and decides the next search; the executor uses programmatic operations (search, fetch, extract) to return a short evidence snippet rather than a raw page. This handoff is what decouples broad exploration from coherent long-horizon reasoning, and is the component that would explain the benchmark gains.","core_discovery":"The central claim is that the planner-executor pair, augmented with programmatic tools, outperforms existing web-browsing agents on challenging English and Chinese benchmarks. The planner formulates and adapts search strategies based on task constraints; the executor conducts targeted retrieval and distills pages into concise, relevant evidence. This keeps the planner's context clean and its reasoning continuous, while the executor's programmatic tools allow broad exploration without serial, noisy context bloat. Measured on BrowseComp-en and BrowseComp-zh, the system achieves 30.0 and 46.5 respectively.","pith_inferences":["The paper does not state this explicitly, but the same planner-executor split could be ported to other retrieval-heavy agent tasks, such as codebase navigation or scientific literature review, where evidence distillation matters as much as search.","A testable extension is an ablation that swaps the executor's summarizer for raw page text; the paper's mechanism predicts a steep drop on long-horizon questions, which would confirm the handoff as the load-bearing part.","The paper leaves implicit that the pair architecture could be a drop-in upgrade for single-agent web agents: keep the planner's logic, slot in the executor's distilled evidence, and expect similar gains."],"forward_implications":["If the central claim holds, long-horizon web tasks no longer require choosing between search breadth and reasoning depth; both can be had by specializing the two roles.","The architecture is model-agnostic: any LLM can serve as planner or executor, so gains may transfer to other backbones without retraining.","The similar pattern in English and Chinese benchmark scores suggests the benefit is structural, not language-specific.","The executor's programmatic augmentation gives a concrete design target: better extractors and summarizers directly raise the ceiling of an agent pair."],"supporting_citations":[],"fun_headline_variants":["Planner-executor pair with tools outperforms single-agent browsing","Tool-augmented agent pair splits planning and evidence gathering","Programmatic tools enable agent pairs to scale web browsing","Agent pair with tool-augmented search beats single-agent baselines","Planner-executor pair scores 30.0 and 46.5 on BrowseComp"],"cache_read_input_tokens":2816,"weakest_assumption_plain":"The framework's gain rests on the premise that the executor's concise, relevant evidence loses no fact that the planner would need to answer the question; if the summarizer drops such a fact, the planner has no way to ask for it back.","fun_headline_variants_meta":{"raw":{"variants":["Planner-executor pair with tools outperforms single-agent browsing","Tool-augmented agent pair splits planning and evidence gathering","Programmatic tools enable agent pairs to scale web browsing","Agent pair with tool-augmented search beats single-agent baselines","Planner-executor pair scores 30.0 and 46.5 on BrowseComp"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.000869,"raw_usage":{"total_tokens":3570,"prompt_tokens":684,"completion_tokens":2886,"prompt_tokens_details":{"cached_tokens":256},"prompt_cache_hit_tokens":256,"prompt_cache_miss_tokens":428,"completion_tokens_details":{"reasoning_tokens":2806}},"tokens_in":428,"tokens_out":2886,"duration_ms":23828,"temperature":1.0,"reasoning_tokens":2806,"cache_read_input_tokens":256,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-05T21:12:06.714197+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"Take a BrowseComp-style task whose answer is embedded in a single low-ranked sentence of a long page. If the executor's summary omits that sentence, the planner will fail even though the raw page contains the answer; observing such a failure at scale would show the distillation step discards task-critical information. Concretely, compare BrowseMaster's accuracy when the executor returns raw retrieved text versus its summary; if accuracy does not drop, evidence distillation is not the source of the claimed gain.","supporting_citations":[],"review_version":1}