{"id":"e4b744f5-43f2-44e2-9ab2-f06d550df47f","arxiv_id":"2411.08866","paper_version":3,"verdict":"CONDITIONAL","confidence":"MODERATE","novelty_score":6.0,"correctness_risk":"medium","formal_verification":"none","parameter_count":4,"one_line_summary":"The GRBSN webtool is an open-source repository hosting the most complete multiwavelength dataset of 61 GRB-supernova associations, with interactive plots, search and download features.","lead":"This paper describes GRBSN, a free online tool that gathers published observations of gamma-ray bursts linked to supernovae in one searchable database. The tool makes multiwavelength data from radio to X-rays available for all known GRB-supernova associations, and the authors use it to compare a standard GRB energy relation between the two populations.","discovery_kind":"new_application","skeptic_critique":{"model":"deepseek-v4-flash","headline":"The 'most complete' claim rests on an unverified manual cross-catalogue search; one missing pre-2024 association would falsify it, and no independent audit is provided.","rationale":"The central contribution is the catalogue itself, so the completeness of the 61-event list is the most load-bearing assumption for the headline claim. The reader's weakest_assumption identifies exactly this issue, and I agree that the manual cross-referencing procedure plus reliance on community flagging leaves the 'most complete' assertion unverified. The Amati demonstration is a secondary application: even if the 3-sigma claim is internally inconsistent, it does not invalidate the repository's core value, so it is not the load-bearing concern for the central claim. A concrete completeness audit, as described, would settle whether the concern lands. Since the reader already returned CONDITIONAL based on related analysis-quality issues, and this completeness concern does not by itself demand a stronger verdict, the appropriate recommendation is UNCHANGED.","tokens_in":40867,"tokens_out":7572,"duration_ms":60308,"concrete_test":"Independently reproduce the association list: (1) take the 48 Cano et al. (2017) associations and confirm all appear in Table A.3; (2) query TNS for all transients classified as broad-lined Ic (or SLSN) with discovery date up to 2023-12-31; (3) cross-match those positions against the Swift/BAT and Fermi/GBM GRB catalogs with a tolerance of 30 arcsec and a time window of +/- 30 days; (4) search GCN circulars for 'supernova' coincident with GRB detections; (5) compare the union to Appendix A. If any known pre-2024 association is missing, the 'most complete' claim fails.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The paper's central claim is that the webtool hosts the most complete list of GRB-SN associations to date (Abstract, Section 3, Section 4.1, Conclusion). The construction in Section 4.1 starts with 48 associations from Cano et al. (2017) and adds events by cross-referencing TNS Ic-BL lists, the Swift XRT catalogue, GCN Circulars, and GRBSpec by coordinates/redshift, followed by ADS confirmation. The paper explicitly acknowledges (Section 6.3) that missing historic events and orphan GRB-SNe rely on community flagging. This is an internal-completeness gap: the procedure is manual, there is no stated recall estimate, and the starting catalogue is known to have been incomplete (the paper itself notes GRB071112C was omitted from Cano et al. 2017). The list in Appendix A is therefore not independently verified. Because the dataset is intended for population-level analyses (Section 5), a missing association (e.g., a GRB-SN published only in a GCN or in a journal not indexed by the chosen ADS search) would directly falsify the 'most complete' assertion. A secondary, internal-inconsistency issue exists in the demonstration analysis: the claimed 3-sigma steeper Amati slope for GRB-SNe is not supported by the paper's own comparison fit (0.645 +/- 0.029 vs 0.604 +/- 0.042) and appears to use the Friedman and Bloom (2005) slope as baseline instead.","agreement_with_reader":"agree"},"referee_report":{"model":"deepseek-v4-flash","summary":"The paper presents GRBSN, an open-source web tool and repository for gamma-ray burst–supernova (GRB-SN) associations, hosted at https://grbsn.watchertelescope.ie. The authors describe the frontend, backend, data collection, standardisation, and user-contribution workflow, and they provide a catalogue of 61 GRB-SN associations that they claim is the most comprehensive such list to date. As a demonstration, they use the tool's data to fit the Amati relation for GRB-SNe and compare it with the relation for GRBs without SNe, reporting a steeper slope at the three-sigma level. The paper also outlines future plans for an API, FITS-format data products, and community maintenance via GitHub.","tokens_in":41180,"tokens_out":4919,"duration_ms":41593,"significance":"The GRBSN webtool addresses a real gap: no existing repository provides multiwavelength lightcurves, spectra, and metadata for all known GRB-SN associations in a single, standardised, openly accessible platform. The paper documents a detailed and traceable data-ingestion and standardisation pipeline, with original files retained, unit homogenisation, and citation links; the code and data are publicly hosted, and the contribution workflow is well specified. These are concrete strengths that support reproducibility and community use. The completeness claim (61 associations) is important but is based on a manual cross-referencing procedure that is not independently verified, and the Amati demonstration contains a statistical claim that is not supported by the paper's own comparison fit. With those points corrected, the tool would be a valuable community resource.","major_comments":[{"comment":"The stated result that \"GRB-SNe show a steeper correlation at the three sigma level compared with GRBs without SNe\" is not supported by the paper's own comparison fit: the GRB-SN slope (0.645 ± 0.029) and the GRB-only slope derived in this work (0.604 ± 0.042) differ by only about 0.8σ. A 3σ difference is obtained only against the Friedman & Bloom (2005) slope (0.496 ± 0.037) quoted in Table 2. The text must identify which baseline is being used, and the comparison against the paper's own GRB-only fit should be reported accurately, since as written the claim is internally inconsistent.","section":"Section 5, Table 2"},{"comment":"The Amati-relation sample is selected by requiring values for E_iso, E_k, and redshift, although E_k does not enter the Amati relation (Eq. 1). This cut reduces the sample from 61 associations to 33 and is not justified in terms of the relation being tested; it can introduce selection bias because E_k is available only for events with detailed supernova modelling. Additionally, the resolution of multiple literature measurements by taking the first database entry (unless it is a limit or lacks an uncertainty) is arbitrary and should be replaced by a documented averaging or priority scheme. The demonstration would be more convincing if all events with E_iso and E_p were used, with any necessary cuts fully justified.","section":"Section 5"},{"comment":"The central claim that the catalogue is \"the most comprehensive list of GRB-SN associations available to date\" rests on a manual cross-referencing procedure (Section 4.1) with no stated recall estimate and no independent audit. The paper itself notes that the starting catalogue (Cano et al. 2017) omitted GRB071112C, and that missing historic events rely on community flagging (Section 6.3). A single missed pre-2024 association would falsify the claim. The authors should either temper the claim to \"as complete as we could verify\" or provide a completeness assessment, for example by comparing their list against all candidate associations in the literature and reporting the search queries in a reproducible form.","section":"Section 4.1 and Section 6.3"}],"minor_comments":[{"comment":"The caption of Fig. 1 identifies the event as GRB130702A-SN2013dx, while the text says \"Fig. 1 shows the optical lightcurves and spectral sequence of GRB130427A-SN2013dk\"; the event name and the figure should be reconciled.","section":"Figure 1 and Section 1"},{"comment":"The row for ejecta mass M_Ej lists \"Typically 0.1–1 M⊙\" twice; one of these should presumably be the intended range of 1–10 M⊙.","section":"Table 1"},{"comment":"Several typos should be corrected, including \"wetbool\" (Section 4.2.1), \"Spetra\" (Section 4.3.1), and \"assymmetric\" (Section 5).","section":"Throughout"},{"comment":"The text says 33 events had values for all three quantities, 3 had upper or lower limits, and one event had no E_iso uncertainty, but Table C.4 lists 36 entries; clarify the event counts and specify which points were excluded from the fit.","section":"Section 5 and Table C.4"},{"comment":"The YAML template example uses \"grb_id: GRB240927D\" and other placeholder values that are inconsistent with the surrounding example (e.g., SN1998bw); use a single coherent example event.","section":"Appendix B.3"}],"recommendation":"major_revision","confidential_remarks":"The paper is a solid data-tool contribution, but the Amati-relation demonstration overstates the statistical significance and the completeness claim is not independently supported. Both issues are fixable in revision and do not undermine the core value of the webtool itself. I would recommend checking the completeness claim against an external compiled list before publication, and requiring the authors to report their comparison fit honestly."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"The GRBSN webtool is a genuinely useful contribution: a single, queryable, multiwavelength repository for GRB-SN associations, with 61 events, standardised lightcurves and spectra, traceable sources, and open code on GitHub. That fills a real gap. Existing tools cover only parts of the parameter space, and the paper's description of the data standardisation is thorough and honest about the messiness of the underlying literature. The catalogue itself is the artifact; the authors make it easy to audit by keeping original files and citations intact. That is reproducible work in the sense that matters for a resource paper.\n\nThe soft spots are in the demonstration analysis, not in the tool. The Amati fit filters the sample on E_k even though E_k plays no role in the relation; that is an unmotivated cut that can bias the sample. Multiple measurements are handled by taking the first value, which is arbitrary. And the 'steeper at 3 sigma' claim does not hold up against their own GRB-only comparison fit: 0.645 ± 0.029 vs 0.604 ± 0.042 is about 0.8 sigma. The 3-sigma statement only works if you compare to the Friedman & Bloom (2005) slope instead. That is a real error in the paper's own framing, and it should be corrected.\n\nThe broader completeness claim ('most comprehensive list to date') is also a bit strong for a manual cross-catalogue search that relies on community flagging for historic events. The authors know this—they acknowledge it in Section 6.3—so it is more an overstatement than a fatal flaw. A careful reader should treat the catalogue as very useful but not as certified complete.\n\nI would send this to peer review. The tool is worth refereeing and the Amati issues are fixable. The paper would benefit from a round of revision, but the central artifact—the webtool and its data—is real and will be used. I would cite it when working on GRB-SN population questions.\n\nRecommendation: engage, but ask for the Amati comparison to be recomputed against the paper's own control sample, and for the completeness claim to be softened or accompanied by a recall estimate.","headline":"A genuinely useful, open GRB-SN data repository that deserves a referee; the tool is the contribution, while the Amati demonstration has a real but fixable statistical flaw.","tokens_in":41704,"tokens_out":2554,"would_cite":true,"duration_ms":22859,"reading_group":"yes","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"deepseek-v4-flash","headline":"The GRBSN webtool collects 61 gamma-ray burst-supernova associations into one standardized, searchable multiwavelength repository.","keywords":["gamma-ray bursts","supernovae","GRB-SN associations","multiwavelength data","open-source repository","Amati relation","data standardisation","astronomical databases"],"falsifier":"Independently compile all GRB-SN associations reported in peer-reviewed papers or GCN Circulars up to the end of 2023 (e.g., by cross-matching the Transient Name Server Ic-BL list with Swift-detected GRBs), and check whether any association absent from the 61 events in the GRBSN webtool is missing; one such absent, confirmed event would falsify the 'most complete' claim as stated.","tokens_in":40665,"feed_emoji":"💫","tokens_out":2265,"duration_ms":22815,"temperature":0.7,"pith_summary":"The paper presents an open-source web repository, the GRBSN webtool, that aims to be the most complete list of gamma-ray burst-supernova (GRB-SN) associations currently available, with 61 events hosted. Unlike existing supernova or GRB databases, it combines radio, X-ray, optical/NIR photometry, and spectra for each event in a consistent, machine-readable format. The authors argue that this centralization removes the need to scrape data from scattered papers and archives, and they demonstrate its utility by quickly fitting the Amati relation for GRB-SNe. If the completeness claim holds, the tool becomes the standard starting point for population-level GRB-SN studies, especially as new events are discovered by upcoming sky surveys.","feed_headline":"61 GRB-supernova pairs land in one open database","feed_subtitle":"A new webtool standardizes radio-to-X-ray data for every known gamma-ray burst with a supernova.","key_machinery":"The load-bearing mechanism is the standardized data schema: every observation file is converted to a tab-separated format with fixed column types (data, type, unit, error, boolean flag), and each event's files are merged into master files for optical, spectra, radio, and X-ray data. This schema, together with an SQL database of GRB and SN metadata and interactive Bokeh plots, is what makes the multiwavelength comparison and rapid population analysis possible.","core_discovery":"The central claim is that the GRBSN webtool provides the most comprehensive dataset of GRB-SN associations to date: 61 events, split into 29 spectroscopically confirmed, 31 photometrically confirmed, and 1 orphan afterglow. The tool standardizes all observational data into a common schema (tab-separated files with defined column types), applies homogeneous units within each wavelength regime, and stores bulk GRB and SN metadata in an SQL database, all downloadable through an interactive web interface. The paper also reports an application of the tool: fitting the Amati relation ($E_{p,i}$ vs. $E_{iso}$) to 33 GRB-SNe yields a steeper slope ($m = 0.645 \\pm 0.029$) than the comparison sample of GRBs without associated supernovae ($m = 0.604 \\pm 0.042$), with the difference in normalization $K$ significant at greater than two $\\sigma$.","pith_inferences":["If the catalogue truly is complete up to the end of 2023, the 61-event sample provides a robust empirical base for testing whether all long GRBs have supernovae, or whether some are genuinely missing them; the current mix of photometric and spectroscopic confirmations sets a floor on how many events would need deeper follow-up.","The standardized schema could be reused for other transient classes (e.g., tidal disruption events or kilonovae) where multiwavelength data from heterogeneous sources also need homogenization, though the authors do not claim this.","A natural test of the tool's completeness would be to cross-match its list against an independent compilation assembled from TNS and GCN after 2023; any missing association would weaken the 'most complete' claim but could be fixed quickly via the GitHub issue tracker.","The Amati relation result, if confirmed with a larger sample, could motivate theoretical work on whether jet opening angle or viewing angle systematically differs in GRB-SNe versus GRBs without detected supernovae, but this is speculation beyond the paper's demonstration."],"forward_implications":["Researchers can download the full multiwavelength dataset for all 61 associations in a uniform format, eliminating the need to manually combine data from papers, telescope archives, and separate catalogues.","The Amati relation fit implies that GRB-SNe may follow a steeper $E_{p,i}$–$E_{iso}$ correlation than GRBs without supernovae, which could indicate a distinct central-engine or jet property in these events.","The tool's open GitHub repository and submission guidelines let the community add new associations and flag missing data, making it a living catalogue that can grow with discoveries from surveys such as the Vera Rubin Observatory.","Because all data remain traceable to their original papers, the webtool supports reproducible population studies and reduces the chance of errors being propagated through the literature.","The future API and planned conversion to FITS tables would allow programmatic access to the full dataset, enabling large-scale statistical analyses of GRB-SN properties."],"supporting_citations":[{"why":"Provides the starting catalogue of 48 GRB-SN associations that the GRBSN webtool builds upon, and is the baseline for the completeness claim.","marker":"Cano et al. (2017)"},{"why":"Discovery of SN1998bw at the position of GRB980425, the first direct evidence linking a GRB to a supernova.","marker":"Galama et al. (1998)"},{"why":"Confirmation of the GRB-SN connection through GRB030329/SN2003dh, establishing the pattern of broad-lined Ic supernovae associated with GRBs.","marker":"Hjorth et al. (2003)"},{"why":"Supplies the Swift/XRT lightcurve repository from which the GRBSN webtool draws standardized X-ray data for all associations.","marker":"Evans et al. (2009)"},{"why":"The Open Supernova Catalog provides the optical photometry and spectroscopy for many events in the webtool, and its JSON format is retained in the repository.","marker":"Guillochon et al. (2017)"},{"why":"GRBSpec is one of the cross-referenced sources used to find new GRB-SN associations and contributes spectral data.","marker":"de Ugarte Postigo et al. (2014)"},{"why":"Defines the Amati relation that the paper uses as the demonstration application of the webtool's search and download capabilities.","marker":"Amati et al. (2002)"}],"fun_headline_variants":["Open webtool catalogs 61 GRB-supernova associations","Most complete GRB-SN dataset now open and searchable","GRBSN webtool: 61 cosmic pairs, multi-wavelength data","Open-source webtool ties 61 GRBs to supernovae","GRB-SN webtool reveals steeper Amati slope"],"cache_read_input_tokens":3200,"weakest_assumption_plain":"The claim that the catalogue is the most complete list of GRB-SN associations rests on the assumption that cross-referencing Cano et al. (2017), the Transient Name Server, the Swift/XRT catalogue, GCN Circulars, and GRBSpec recovers every existing association; the authors acknowledge they rely on the community to flag any missing events.","fun_headline_variants_meta":{"raw":{"variants":["Open webtool catalogs 61 GRB-supernova associations","Most complete GRB-SN dataset now open and searchable","GRBSN webtool: 61 cosmic pairs, multi-wavelength data","Open-source webtool ties 61 GRBs to supernovae","GRB-SN webtool reveals steeper Amati slope"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.000734,"raw_usage":{"total_tokens":3285,"prompt_tokens":953,"completion_tokens":2332,"prompt_tokens_details":{"cached_tokens":384},"prompt_cache_hit_tokens":384,"prompt_cache_miss_tokens":569,"completion_tokens_details":{"reasoning_tokens":2237}},"tokens_in":569,"tokens_out":2332,"duration_ms":16623,"temperature":1.0,"reasoning_tokens":2237,"cache_read_input_tokens":384,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-12T21:14:18.328021+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"Independently compile all GRB-SN associations reported in peer-reviewed papers or GCN Circulars up to the end of 2023 (e.g., by cross-matching the Transient Name Server Ic-BL list with Swift-detected GRBs), and check whether any association absent from the 61 events in the GRBSN webtool is missing; one such absent, confirmed event would falsify the 'most complete' claim as stated.","supporting_citations":[],"review_version":1}