{"id":"8e0641e6-47b1-451d-918f-52fc34f33c21","arxiv_id":"2606.24762","paper_version":1,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":2.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":0,"one_line_summary":"Review of AGN feedback advances in galaxy groups from modern radio data and the expected transformative role of SKA observations.","lead":"This review summarizes recent radio observations of AGN feedback in galaxy groups from facilities like LOFAR and MeerKAT, noting signatures of heating and plasma displacement, and outlines how the SKA will enable larger statistical samples. A smart generalist might read it to understand the observational path forward for black hole feedback in the most common environments hosting radio-loud AGN.","discovery_kind":"review","skeptic_critique":{"model":"grok-4.3","headline":"Central claim assumes SKA specs will close gaps without needing advances in feedback modeling or interpretation methods","rationale":"The reader's weakest assumption directly matches the load-bearing premise of the central claim. Because the paper is a review advancing no new empirical or formal result, the UNVERDICTED verdict and low confidence remain appropriate; the identified assumption is the precise point where the prospective claim could fail to hold.","tokens_in":1824,"tokens_out":317,"duration_ms":11970,"concrete_test":"Scan the full manuscript sections on SKA prospects for any explicit mention of required theoretical modeling or data-interpretation advances; if absent, compare the claimed SKA impact against published MeerKAT/LOFAR group results to check whether similar sensitivity gains produced the expected modeling breakthroughs without additional theoretical work.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The strongest claim is that SKA's resolution/sensitivity combination will directly enable large group samples and close knowledge gaps on AGN feedback. This rests on the premise (visible in the abstract) that current barriers are observational and that new data will translate into physical insight. The text identifies gaps from LOFAR/uGMRT/MeerKAT results (overheating, evacuated environments, sloshing) but provides no discussion of whether existing theoretical models of group-scale feedback are sufficient to interpret the expected SKA data products, or whether new simulation frameworks or analysis techniques will also be required. If the latter is true, the claimed revolution does not follow from the instrumental specifications alone.","agreement_with_reader":"agree"},"referee_report":{"model":"grok-4.3","summary":"The manuscript is a review chapter summarizing two decades of research on AGN feedback in galaxy evolution, with emphasis on the under-studied regime of galaxy groups. It contrasts the extensive X-ray/radio studies of clusters with the observational limitations in groups, reviews recent results from LOFAR, uGMRT and MeerKAT (overheating signatures, evacuated environments from prolonged feedback, and sloshing of remnant plasma), identifies remaining gaps, and argues that SKA will close these gaps and revolutionise the field via its high resolution, sensitivity and wide frequency coverage, enabling large statistical samples in synergy with other surveys.","tokens_in":1933,"tokens_out":359,"duration_ms":16658,"significance":"If the synthesis of recent radio results and the projection of SKA capabilities hold, the review could be significant for guiding SKA science priorities in galaxy-group environments, which host the majority of nearby radio-loud AGN. It usefully flags concrete observational signatures and gaps from current facilities, providing a forward-looking perspective that could help shape observing strategies.","major_comments":[{"comment":"Abstract (and the central thesis): The claim that SKA will 'close these gaps and revolutionise the field' through its instrumental specifications assumes that current barriers are purely observational. The manuscript identifies gaps from LOFAR/uGMRT/MeerKAT results (overheating, evacuated environments, sloshing) but contains no discussion of whether existing theoretical models of group-scale AGN feedback are sufficient to interpret the expected high-resolution, multi-frequency data products, or whether new simulation frameworks and analysis techniques will also be required. This assumption is load-bearing for the 'revolutionise' conclusion.","section":"Abstract"}],"minor_comments":[],"recommendation":"major_revision","confidential_remarks":null},"author_rebuttal":{"model":"grok-4.3","summary":"We thank the referee for their thoughtful and constructive review. We address the single major comment below and agree that a clarification is warranted to avoid any implication that observational advances alone will suffice.","responses":[{"response":"We agree with the referee that the manuscript, as an observational review, does not explicitly discuss the adequacy of current theoretical models or the potential need for new simulation frameworks to interpret forthcoming SKA data. The central thesis focuses on how SKA's instrumental capabilities will overcome the specific observational limitations identified in recent LOFAR, uGMRT and MeerKAT results. To address this point directly and strengthen the manuscript, we will revise the abstract to temper the 'revolutionise' phrasing and add a short paragraph in the conclusions section acknowledging that new high-resolution, multi-frequency observations will also drive parallel advances in theoretical modeling and analysis techniques. This revision will make clear that SKA addresses key observational gaps while the full scientific impact will require complementary theoretical progress.","revision_made":"yes","referee_comment":"[Abstract] Abstract (and the central thesis): The claim that SKA will 'close these gaps and revolutionise the field' through its instrumental specifications assumes that current barriers are purely observational. The manuscript identifies gaps from LOFAR/uGMRT/MeerKAT results (overheating, evacuated environments, sloshing) but contains no discussion of whether existing theoretical models of group-scale AGN feedback are sufficient to interpret the expected high-resolution, multi-frequency data products, or whether new simulation frameworks and analysis techniques will also be required. This assumption is load-bearing for the 'revolutionise' conclusion."}],"tokens_in":1436,"tokens_out":350,"duration_ms":14518,"standing_objections":[]},"desk_editor":{"model":"grok-4.3","letter":"This review chapter pulls together radio observations of AGN feedback in galaxy groups. It notes that groups host most nearby radio-loud AGN, contrasts them with better-studied clusters, and lists concrete examples from LOFAR, uGMRT, and MeerKAT: overheating signatures, largely evacuated environments from extended feedback, and remnant plasma moved by sloshing. These points are presented clearly and show why the lower-mass regime matters for galaxy evolution.\n\nNothing in the paper is new. It is synthesis of already-published work, with the SKA section stating that the telescope's resolution and sensitivity across frequencies will enable large samples and close the identified gaps. The text does not derive anything, test models, or present fresh measurements.\n\nThe soft spot is the forward-looking claim. The paper treats current observational limits as the main barrier and assumes SKA specifications will directly produce physical insight. It does not discuss whether existing feedback models can interpret the expected data volume or whether new simulation or analysis techniques will also be required. That assumption is stated rather than justified.\n\nCitations appear standard for the subfield and the abstract matches the described content. No internal contradictions show up.\n\nThe paper is for radio observers and group-scale AGN researchers who want a compact overview before planning SKA work. It organizes existing knowledge without reshaping the field. A serious editor should send it for peer review as a review chapter because the synthesis is coherent and the target audience exists, even though the novelty is low and the SKA discussion would benefit from more balance on modeling needs.","headline":"This is a review chapter that cleanly summarizes recent LOFAR/uGMRT/MeerKAT results on AGN feedback in groups and flags SKA prospects, but adds no new data or analysis and rests its optimism on the unexamined assumption that better observations alone will close the gaps.","tokens_in":2428,"tokens_out":414,"would_cite":false,"duration_ms":11538,"reading_group":"maybe","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"grok-4.3","headline":"SKA will enable detailed studies of AGN feedback in galaxy groups by providing high resolution and sensitivity across wide frequencies.","keywords":["AGN feedback","galaxy groups","radio observations","SKA","galaxy evolution","non-thermal emission","scaling relations"],"falsifier":"Observations with SKA that fail to produce larger samples or new insights into feedback processes in groups would challenge the expectation that it will close the knowledge gaps.","tokens_in":2703,"feed_emoji":"","tokens_out":520,"duration_ms":23243,"temperature":0.7,"pith_summary":"The paper reviews how AGN feedback explains scaling relations between supermassive black holes and galaxies, with most work focused on clusters but groups being key since they host most radio-loud AGN. Observational limits in high-energy regimes have restricted progress, though recent radio data show effects like overheating and displaced plasma. The central argument is that SKA's capabilities will overcome these limits, allowing large samples of groups for better statistics on galaxy evolution.","feed_headline":"SKA set to transform AGN feedback research in galaxy groups","feed_subtitle":"High resolution and sensitivity will support large statistical samples of groups where most radio-loud AGN reside.","key_machinery":"The combination of high-resolution radio observations with X-ray data to link thermal and non-thermal emission in the context of AGN feedback.","core_discovery":"Research on AGN feedback in galaxy groups is limited by observational constraints, but recent results from facilities like LOFAR indicate signatures of prolonged feedback activity, and the SKA is expected to facilitate construction of unprecedentedly large samples through its high resolution and sensitivity.","pith_inferences":["Connecting these findings to broader models of black hole growth across different environments.","Potential for testing how feedback influences the overall baryon cycle in groups.","Extensions to multi-wavelength surveys could reveal frequency-dependent effects of AGN activity."],"forward_implications":["Improved understanding of the origin of supermassive black hole scaling relations in lower mass systems.","Identification of more examples of groups with evacuated environments due to powerful feedback.","Enhanced ability to study remnant plasma and sloshing motions in groups.","Greater statistical power for studies of galaxy evolution through large samples."],"fun_headline_variants":["SKA insights into AGN feedback in galaxy groups","AGN feedback research in groups aided by SKA","Galaxy groups show AGN feedback via LOFAR and SKA","SKA to enable large AGN samples in galaxy groups"],"cache_read_input_tokens":2112,"weakest_assumption_plain":"That the primary barriers to progress are observational limitations in resolution and sensitivity rather than theoretical modeling challenges.","fun_headline_variants_meta":{"raw":{"variants":["SKA insights into AGN feedback in galaxy groups","AGN feedback research in groups aided by SKA","Galaxy groups show AGN feedback via LOFAR and SKA","SKA to enable large AGN samples in galaxy groups"]},"model":"grok-4.3","cost_usd":0.003769,"raw_usage":{"total_tokens":1973,"prompt_tokens":716,"num_sources_used":0,"completion_tokens":61,"cost_in_usd_ticks":37687000,"prompt_tokens_details":{"text_tokens":716,"audio_tokens":0,"image_tokens":0,"cached_tokens":256},"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":1196,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}},"tokens_in":716,"tokens_out":61,"duration_ms":8668,"temperature":1.0,"reasoning_tokens":1196,"cache_read_input_tokens":256,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-06-25T23:25:01.439872+00:00","model_set":{"reader":"grok-4.3"},"falsifier":"Observations with SKA that fail to produce larger samples or new insights into feedback processes in groups would challenge the expectation that it will close the knowledge gaps.","supporting_citations":[],"review_version":1}