{"id":"1c87487b-37a2-4c1d-be39-060c136fbaf7","arxiv_id":"2508.03423","paper_version":2,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":6.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":0,"one_line_summary":"A cell-free massive MIMO monitoring network with MMSE channel estimation and Bayesian-optimized jamming and mode selection can disrupt untrusted communications with success probability above 0.8.","lead":"This paper designs a distributed wireless monitoring system that uses many antenna nodes to listen to, and jam, an untrusted radio link. It matters because it could let network operators or security services monitor suspicious communications proactively, without needing a single powerful device close to the target.","discovery_kind":"new_method","skeptic_critique":{"model":"deepseek-v4-flash","headline":"The universal MSP>0.8 claim is the load-bearing assertion; it depends on an unstated simulation grid and on known, observable pilots.","rationale":"Reader's weakest assumption (pilot observability) is real and foundational, but it is a common system-model precondition in monitoring papers; the more distinctive and actionable problem is the abstract's universal MSP claim. The supplied full text is unreadable and the footer identifies a different arXiv paper, so the numerical results cannot be audited. Given that, the only honest verdict remains provisional; however, if the manuscript text is recovered, the authors should be required to scope the MSP claim to the simulated antenna range and precoder set and to state the known-pilot observability assumption explicitly. This is a conditional acceptance condition, not a rejection.","tokens_in":1924,"tokens_out":9758,"duration_ms":124319,"concrete_test":"Extract from the simulation section the maximum number of antennas S_max at each untrusted node and the full list of precoders used. Then rerun the MSP optimization at S = 4*S_max and for a zero-forcing precoder at the UT that nulls the channels toward all monitoring nodes. If MSP falls below 0.8 in either case, replace the 'regardless' claim with a quantified statement scoped to the tested regime; if it remains above 0.8, the universal claim survives this test.","verdict_should_be":"CONDITIONAL","load_bearing_attack":"The central claim of the paper, as worded, is that MSP exceeds 0.8 regardless of the number of antennas at the untrusted nodes and of the precoding scheme used on the untrusted link. That universal quantifier cannot be established by a finite set of numerical experiments unless the swept antenna counts and precoder set are reported and are broad enough to cover the intended claim; the abstract reports neither. Furthermore, the proposed CSI acquisition rests on the MNs overhearing and knowing the pilot sequences of the UT and UR. An untrusted link that uses hidden, random, or encrypted pilots, or a precoder designed to null energy toward the monitoring nodes, would invalidate the MMSE estimates, the SE expressions, and hence the optimized MSP. The abstract does not state either precondition as a limitation, and the supplied full text is an unreadable encoding dump (with a mismatched arXiv footer), so the actual simulation grid and system model cannot be checked. The claim as stated is therefore not merely unverified; it is under-specified to the point of being untestable from the available material.","agreement_with_reader":"partial"},"referee_report":{"model":"deepseek-v4-flash","summary":"The manuscript, as represented by its abstract, studies a cell-free massive MIMO (CF-mMIMO) proactive monitoring system in which multiple multi-antenna monitoring nodes (MNs) are assigned either to observe an untrusted transmitter (UT) or to jam the reception at an untrusted receiver (UR). It proposes a CSI acquisition scheme in which the MNs use the pilot signals of the uplink and downlink phases of the untrusted link to estimate the effective UT and UR channels via MMSE estimation. The paper derives spectral efficiency expressions for the untrusted link and for the monitoring system under two cases of CSI availability at the central processing unit, and it introduces a joint mode assignment and jamming power control optimization that maximizes the monitoring success probability (MSP) using Bayesian optimization. The abstract claims that the proposed system significantly outperforms benchmarks and that MSP exceeds 0.8 regardless of the number of antennas at the untrusted nodes or the precoding scheme. The supplied full text is an unreadable encoding dump, and the footer contains a different arXiv identifier than the header.","tokens_in":2071,"tokens_out":4221,"duration_ms":46552,"significance":"If the claims hold, the paper would contribute a systematic, practical approach to proactive monitoring of untrusted communications in a distributed antenna architecture, combining an MMSE-based CSI acquisition scheme with a Bayesian-optimization-driven mode assignment and jamming power control. The claimed robustness of MSP > 0.8 across antenna counts and precoder choices is a strong, falsifiable prediction that would be valuable for physical-layer security. However, since the full text is unreadable and the abstract provides no equations, derivations, simulation parameters, confidence intervals, or benchmark details, the significance of the work cannot currently be assessed. The problem formulation itself is timely, but the evidence needed to evaluate the claims is absent.","major_comments":[{"comment":"The supplied full text is a corrupted encoding dump: the first pages consist largely of replacement characters, and the final footer reads 'arXiv:2508.03426v1 [cs.CV] 5 Aug 2025' rather than the stated header identifier eess.SP 2508.03423. As a result, the derivations of the SE expressions, the Bayesian optimization formulation, the simulation setup, and the numerical results cannot be verified or even read. This is a load-bearing deficiency because the abstract's central claims rest entirely on these inaccessible supporting materials. A readable, correctly encoded manuscript is a prerequisite for any further review.","section":"Full text (unreadable)"},{"comment":"The assertion that 'the MSP performance ... is greater than 0.8, regardless of the number of antennas at the untrusted nodes or the precoding scheme' is a universal quantifier. The abstract reports no antenna-count sweep, no list of precoders tested, no system parameter values, and no statistical uncertainty measures. A finite set of numerical experiments cannot justify a universal claim unless the simulation grid and the intended scope of the claim are explicitly specified. As stated, the claim is under-specified and not testable from the available material.","section":"Abstract, claim (b)"},{"comment":"The proposed CSI acquisition relies on the monitoring nodes overhearing and knowing the pilot signals transmitted by the untrusted transmitter and receiver during both uplink and downlink phases. The abstract does not state this as a model assumption, nor does it discuss its scope or limitations. If the untrusted nodes use hidden, random, or encrypted pilots, or if the transmit precoder is designed to null energy toward the monitoring nodes, the MMSE channel estimates and hence the derived SE expressions and optimized MSP values would lose their foundation. This precondition must be stated explicitly and addressed as a limitation or through robustness analysis.","section":"Abstract, CSI acquisition"}],"minor_comments":[{"comment":"The arXiv identifier in the footer does not match the identifier in the header; the authors should correct this to avoid ambiguity.","section":"Footer"},{"comment":"The abstract would be more self-contained if it included a one-sentence summary of the system model assumptions, such as the number of MNs, the pilot knowledge at the MNs, and the channel model.","section":"Abstract"},{"comment":"Once a readable manuscript is available, the authors should include error bars or confidence intervals for the numerical MSP claims, especially for the universal 'greater than 0.8' statement.","section":"General"}],"recommendation":"major_revision","confidential_remarks":"The manuscript cannot be reviewed in its current form because the full text is corrupted and unreadable, and the identifier mismatch raises a technical submission issue. I recommend requiring the authors to resubmit a complete, correctly encoded PDF. The abstract presents an interesting problem and plausible approach, but the universal MSP claim and the pilot-knowledge assumption need to be qualified and supported by the full derivation and simulation details. This is a substantial revision rather than a rejection because the issues are fixable by providing the missing material and appropriately scoping the claims."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"Dear colleague, I can only see the abstract — the full text supplied to me is a garbled encoding dump — so this is a provisional read, not a verdict. The paper proposes an MMSE channel estimation scheme that lets monitoring nodes overhear the uplink/downlink pilots of the untrusted link, derives spectral efficiency expressions for the untrusted link and the monitoring system under two CSI assumptions at the CPU, and uses Bayesian optimization to assign monitoring nodes to listen or jam while controlling jamming power. That is a coherent and plausible extension of the proactive monitoring line. The two CSI cases are a useful practical touch, and the Bayesian optimizer is a sensible way to handle a mixed integer-continuous problem.\n\nThe soft spots are exactly where the abstract is over-stretched. The claim that MSP is greater than 0.8 'regardless of the number of antennas at the untrusted nodes or the precoding scheme' cannot be established by a finite set of experiments unless the swept range and the precoder set are reported. As written it sounds like a universal quantifier; a referee will need the simulation grid and a precise statement of what 'regardless' covers. More fundamentally, the whole CSI acquisition scheme depends on the monitoring nodes knowing and observing the pilot sequences of the untrusted transmitter and receiver. An untrusted link that uses hidden, randomized, or encrypted pilots, or a precoder that nulls energy toward the monitoring nodes, would break the MMSE estimates, the SE expressions, and the optimized MSP. That precondition is not stated as a limitation in the abstract.\n\nI don't think the stress-test is unfair; it correctly identifies the load-bearing assumptions. But I also wouldn't call the paper's argument circular. The MSP objective is a stated metric and the Bayesian optimizer maximizes it; that's straightforward optimization, not a derivation that reduces to its own input. The novelty is moderate, and the significance, if everything checks out, is a step forward for deployment of distributed monitoring, not a paradigm shift.\n\nIf the full derivations and simulations are as the abstract suggests, this deserves a serious referee. I'd ask the authors to report the simulation grid behind the 'regardless' claim and to include a section discussing pilot observability and countermeasures. I recommend sending it to peer review. Would I cite it? Only after seeing the full version. Bring to reading group? Maybe, if someone is working on physical-layer security.","headline":"Plausible incremental contribution to proactive monitoring in CF-mMIMO, but the abstract's universal MSP claim and pilot-observability precondition need scrutiny; worth sending to peer review.","tokens_in":2615,"tokens_out":2862,"would_cite":false,"duration_ms":34066,"reading_group":"maybe","serious_thinker":"unclear","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"deepseek-v4-flash","headline":"This paper claims that a cell-free massive MIMO network, whose monitoring nodes overhear the pilots of an untrusted link and estimate the channels with MMSE, can then use Bayesian optimization to decide which nodes observe and which jam…","keywords":["cell-free massive MIMO","proactive monitoring","untrusted communications","MMSE channel estimation","monitoring success probability","Bayesian optimization","jamming power control","spectral efficiency"],"falsifier":"Run the proposed protocol against an untrusted link whose transmitter randomizes or encrypts its pilot sequence in every coherence block, and check whether the monitoring success probability still stays above 0.8; if it collapses to the no-CSI baseline, the central claim fails.","tokens_in":1721,"feed_emoji":"📡","tokens_out":10032,"duration_ms":100803,"temperature":0.7,"pith_summary":"Cell-free massive MIMO (CF-mMIMO) is proposed as a proactive monitoring system for an untrusted wireless link: some multi-antenna monitoring nodes are assigned to observe the untrusted transmitter, while others jam the untrusted receiver. The paper's method lets monitoring nodes acquire the needed CSI by overhearing the pilots of the uplink and downlink phases of the untrusted link and estimating the effective channels with minimum mean-squared error estimation. Using those estimates, the paper derives new spectral-efficiency expressions for the untrusted link and for the monitoring system under two CSI availability cases at the central processing unit, and it sets up a joint mode-assignment and jamming-power-control problem that is solved with Bayesian optimization. The quantitative claim is that this system significantly outperforms the benchmarks and achieves a monitoring success probability greater than 0.8 regardless of the number of antennas at the untrusted nodes or the precoding scheme of the untrusted link. A sympathetic reader would care because it indicates that distributed antenna infrastructure can provide reliable proactive monitoring of untrusted communications without dedicated cooperation from the untrusted terminals.","feed_headline":"Bayesian optimization keeps monitoring success above 0.8","feed_subtitle":"Overhearing pilots and choosing observer/jammer roles keeps success above 0.8 regardless of antennas or precoding.","key_machinery":"The machinery is a two-phase, pilot-aided MMSE channel-estimation step coupled to a Bayesian-optimization layer. During the untrusted link's uplink and downlink pilot phases, the monitoring nodes overhear the pilots and estimate the effective channels from the untrusted transmitter and to the untrusted receiver, giving the CSI needed to derive spectral-efficiency expressions and to set up the monitoring problem. The optimization layer treats the binary assignment of each monitoring node to an observer or jammer role and the continuous jamming power allocation as decision variables, and maximizes the monitoring success probability—the probability that the eavesdropping rate at the monitoring nodes exceeds the untrusted link's data rate, making interception possible. Bayesian optimization is what makes this joint discrete-continuous search practical without requiring full CSI at the central processing unit.","core_discovery":"The central claim is that cell-free massive MIMO can serve as a proactive monitoring system: instead of passively eavesdropping, the network assigns some multi-antenna monitoring nodes to observe the untrusted transmitter and others to jam the untrusted receiver. The key technical move is a CSI acquisition scheme in which the monitoring nodes use the pilots from both the uplink and downlink phases of the untrusted link to form MMSE estimates of the effective channels to the untrusted transmitter and receiver. From those estimates the paper derives new closed-form spectral-efficiency expressions for the untrusted link and for the monitoring link, in one case with imperfect CSI at both the monitoring nodes and the central processing unit, and in another with imperfect CSI at the nodes but no CSI at the central unit. The paper then frames the choice of which nodes observe versus jam, together with the jamming powers, as an optimization of the monitoring success probability and solves it with Bayesian optimization. The claim that follows is quantitative: with this CSI acquisition and optimization, the monitoring success probability is greater than 0.8 regardless of the number of antennas at the untrusted nodes or the precoding scheme of the untrusted link, and it significantly outperforms the benchmarks considered.","pith_inferences":["Editorial extension: because monitoring nodes only need to overhear pilots, a dense cell-free network built for ordinary service could double as a monitoring overlay, making the incremental cost of proactive security monitoring mostly computational rather than radio-hardware.","Editorial extension: an untrusted transmitter that randomizes or encrypts its pilots would remove the prior on which the MMSE estimates rely, so a natural next test is to measure how badly the monitoring success probability degrades under blind or semi-blind estimation.","Editorial extension: the reported robustness across precoding schemes hints that geometry and jamming power, rather than channel-estimation accuracy, set the 0.8 floor; varying monitoring-node density and observing where the floor breaks would test this."],"forward_implications":["If the central claim is right, an operator can monitor an untrusted link using only the pilots the link already transmits; no dedicated training or modification of the untrusted terminals is required.","The derived spectral-efficiency expressions give a closed-form way to quantify the interception condition and the rate cost imposed on the untrusted link, under imperfect-CSI and no-CSI-at-CPU settings, so system designers can predict monitoring performance without Monte Carlo simulation.","The reported floor of 0.8 monitoring success probability, across antenna counts and precoding schemes, means that simply adding antennas at the untrusted nodes or switching the precoder is not by itself enough to defeat the proposed monitor.","The Bayesian-optimization approach supplies a concrete procedure for deciding, per coherence block, which monitoring nodes listen and which jam, making proactive monitoring a real-time resource-allocation task rather than a static deployment."],"supporting_citations":[],"fun_headline_variants":["Cell-free MIMO observes and jams to keep success above 0.8","Bayesian-optimized observer/jammer roles keep monitoring above 0.8","Proactive monitoring via cell-free MIMO hits 0.8 success probability","Pilot-based CSI lets cell-free MIMO assign observe/jam roles for >0.8","Cell-free MIMO proactive monitoring succeeds in >0.8 of cases"],"cache_read_input_tokens":3200,"weakest_assumption_plain":"The monitoring scheme works only if the untrusted link uses pilot signals that the monitoring nodes can hear and recognize; if the untrusted pair hides, changes, or encrypts its pilots, the channel estimates and hence the success guarantee lose their foundation.","fun_headline_variants_meta":{"raw":{"variants":["Cell-free MIMO observes and jams to keep success above 0.8","Bayesian-optimized observer/jammer roles keep monitoring above 0.8","Proactive monitoring via cell-free MIMO hits 0.8 success probability","Pilot-based CSI lets cell-free MIMO assign observe/jam roles for >0.8","Cell-free MIMO proactive monitoring succeeds in >0.8 of cases"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.000735,"raw_usage":{"total_tokens":3352,"prompt_tokens":1075,"completion_tokens":2277,"prompt_tokens_details":{"cached_tokens":384},"prompt_cache_hit_tokens":384,"prompt_cache_miss_tokens":691,"completion_tokens_details":{"reasoning_tokens":2171}},"tokens_in":691,"tokens_out":2277,"duration_ms":20078,"temperature":1.0,"reasoning_tokens":2171,"cache_read_input_tokens":384,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-06T04:26:23.763791+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"Run the proposed protocol against an untrusted link whose transmitter randomizes or encrypts its pilot sequence in every coherence block, and check whether the monitoring success probability still stays above 0.8; if it collapses to the no-CSI baseline, the central claim fails.","supporting_citations":[],"review_version":1}