{"id":"f1a7f8c7-10f9-4b9a-8536-2689e6bbb5cb","arxiv_id":"2607.05776","paper_version":1,"verdict":"CONDITIONAL","confidence":"MODERATE","novelty_score":6.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":3,"one_line_summary":"A PBFT-based decentralized ZK-rollup sequencer network coordinates recurring Powers-of-Tau CRS generation ceremonies via smart-contract or peer-to-peer protocols, achieving continuous trusted setup with stable transaction throughput.","lead":"The paper builds a decentralized Layer 2 system that continuously regenerates the cryptographic parameters (CRS) needed by zero-knowledge proof systems, turning a one-time ceremony into a recurring protocol service. A smart generalist might read it to understand how blockchain infrastructure can automate trust-refreshing cryptographic operations without a central coordinator.","discovery_kind":"unclear","skeptic_critique":{"model":"glm-5.2","headline":"Central decoupling claim is untested: no experiment runs transaction throughput and CRS ceremony concurrently, and throughput uses dummy proofs.","rationale":"The reader correctly identified the dummy-proof issue and the localhost simulation limitation as concerns. However, the reader framed these as generalization risks rather than identifying the more specific and load-bearing gap: the paper's central contribution — decoupling ceremony execution from transaction processing — is never tested under concurrent operation. The two experiments run in separate configurations (3 nodes for throughput, 6-12 for ceremonies) with no overlap, and the throughput experiment uses dummy proofs that eliminate the very computational load (zkSNARK proof generation) that would compete with ceremony coordination for node resources. This means the headline claim ('preserving stable L2 transaction throughput') is architecturally assumed, not empirically demonstrated. The reader's verdict of CONDITIONAL remains appropriate, but the rationale should be sharpened: the condition should specifically require a concurrent-execution experiment with real proofs, not merely better WAN simulation. The paper's security analysis (§IV) is informal but reasonable for the PoT trust model it inherits; the ceremony liveness results under adversarial conditions (§VI.B) are the strongest part of the evaluation and do support the claim that ceremonies complete reliably. The weakness is specifically on the decoupling/throughput-preservation side of the claim.","tokens_in":11896,"tokens_out":1471,"duration_ms":83926,"concrete_test":"Run a single experiment with 6-12 nodes that simultaneously (a) sustains transaction batches at varying loads (20k-100k tx) using real zkSNARK proof generation (not dummy proofs) and (b) executes a CRS ceremony at power size 10 with 2-3 malicious nodes. Measure transaction throughput and latency during ceremony execution versus without ceremony. If throughput drops by more than 15% or ceremony completion time increases by more than 25% relative to the isolated baselines in Figures 3-4, the decoupling claim weakens significantly.","verdict_should_be":"CONDITIONAL","load_bearing_attack":"The paper's central claim is that ceremony execution does not degrade transaction pipeline performance ('safely decouples transaction pipelines from ceremony execution'). However, the two experimental evaluations are conducted in complete isolation. Section VI.A measures throughput (3 nodes, ~41,000 tx/sec) with no ceremony running and, critically, with dummy proofs instead of real ZK proofs (Section V.A: 'ZK proofs (or dummy proofs) are generated'). Section VI.B measures ceremony completion time (6-12 nodes) with no transaction load. No experiment in the paper runs both systems concurrently. The decoupling is asserted architecturally — ceremonies happen on a separate coordination path — but never empirically validated under concurrent load. If PBFT consensus rounds for ceremony state updates (§III.C.2: 'Following each contribution, the updated state is validated and agreed upon through PBFT before the next participant proceeds') compete for the same consensus pipeline as transaction batching, throughput degradation could occur. With k participants per ceremony, each contribution triggers a full PBFT round; for power size 12 with 12 participants, that is 12+ sequential PBFT consensus rounds interleaved with transaction consensus. The paper never measures whether this interleaving affects transaction latency or throughput. Additionally, the dummy-proof substitution means the baseline throughput itself is inflated — real zkSNARK proof generation for 100,000 transactions would consume substantial CPU on the same nodes, further stressing the decoupling claim. The reader correctly identified the dummy-proof issue and localhost limitation but did not flag the more fundamental gap: the absence of any concurrent-execution experiment that would directly test the paper's headline contribution.","agreement_with_reader":"partial"},"referee_report":{"model":"glm-5.2","summary":"The paper proposes an L2-coordinated framework for continuous CRS (Common Reference String) generation, leveraging a decentralized PBFT-based sequencer network to transform trusted setup from a one-time ceremony into a recurring protocol service. Two coordination variants are presented: an on-chain smart contract approach and an asynchronous P2P consensus variant. Both use commit-reveal structures and NIZK proofs of knowledge to prevent adaptive manipulation. The framework is implemented in Golang using libp2p, and evaluated on transaction throughput (3 nodes, up to 100k transactions) and CRS ceremony completion time (6–12 nodes, power sizes 8–12, under adversarial conditions). The security analysis inherits the standard Powers of Tau trust model (at least one honest participant per round) and argues a 'temporally bounded compromise' property from the independence of ceremony rounds.","tokens_in":12032,"tokens_out":1880,"duration_ms":162796,"significance":"The idea of using a decentralized sequencer network as a coordination substrate for recurring trusted setup ceremonies is a reasonable architectural contribution, and the implementation is publicly available on GitHub, which supports reproducibility. The security analysis is correct in inheriting the standard PoT trust model and does not overclaim novel cryptographic guarantees. The commit-reveal integration and epoch-based CRS lifecycle management are sensible design choices. However, the paper's central empirical claim — that ceremony execution does not degrade transaction pipeline performance — is not actually tested, which significantly limits the significance of the evaluation.","major_comments":[{"comment":"§VI, Abstract, Contribution 3: The paper's central claim is that the framework 'safely decouples transaction pipelines from ceremony execution' and 'preserving stable L2 transaction throughput.' However, no experiment runs both systems concurrently. §VI.A measures throughput (3 nodes, ~41,000 tx/sec) with no ceremony running and with dummy proofs (§V.A). §VI.B measures ceremony completion time (6–12 nodes) with no transaction load. The decoupling is asserted architecturally but never empirically validated. This is load-bearing: if PBFT consensus rounds for ceremony state updates (§III.C.2: 'Following each contribution, the updated state is validated and agreed upon through PBFT before the next participant proceeds') share the same consensus pipeline as transaction batching, throughput degradation could occur. For power size 12 with 12 participants, this means 12+ sequential PBFT rounds. ","section":null},{"comment":"§V.A: The rollup uses 'dummy proofs' instead of real zkSNARK proofs. The throughput of ~41,000 tx/sec therefore does not reflect the cost of actual proof generation and verification. Since the paper's claim includes 'preserving stable L2 transaction throughput,' the baseline throughput itself is inflated. The paper should either run experiments with real proof generation or explicitly scope the throughput claim to the sequencing/consensus layer only, excluding proof generation.","section":null},{"comment":"§VI and Abstract: The paper claims experiments were conducted 'under simulated wide-area network constraints,' but §VI describes only a single-machine deployment where nodes communicate via libp2p on localhost. No description is given of how WAN latency, bandwidth constraints, or packet loss were simulated. Real WAN conditions would affect PBFT consensus latency, ceremony completion times, and throughput. Either the WAN simulation methodology must be described in detail, or the claim should be removed.","section":null}],"minor_comments":[{"comment":"§III.B: The reputation mechanism is mentioned ('penalizes disruptive behavior,' 'eventual exclusion') but never formally specified. What are the exact penalty values? How is reputation computed? Is this a load-bearing component or an informal design note?","section":null},{"comment":"Figure 5 shows CRS sizes for Power 14 and Power 16, but the evaluation in §VI.B only tests power sizes 8, 10, and 12. The figure should either be scoped to tested values or the evaluation should be extended.","section":null},{"comment":"§VI.A: The throughput evaluation uses only 3 nodes. Given that the ceremony evaluation uses 6–12 nodes, the throughput experiment should at minimum use a consistent node count, or the discrepancy should be justified.","section":null},{"comment":"§III.C.1, Step 4 (Finalization): The text says 'commitments are revealed to ensure the integrity of the final generated CRS' after all contributions are applied. It would help to clarify what verification is performed during reveal — is it just checking that the committed hash matches, or is there a proof of correct contribution?","section":null},{"comment":"§IV.D: The commit-reveal description is conceptual. A more formal treatment (e.g., what happens if a participant commits but fails to reveal) would strengthen the security argument.","section":null},{"comment":"Table I: The 'Type' field lists 'Preprepare' (one word) while §III.B uses 'Pre-prepare' (hyphenated). Consistent terminology would help.","section":null}],"recommendation":"major_revision","confidential_remarks":"The paper has a reasonable architectural idea but the evaluation does not support the central claim. The concurrent experiment is essential — without it, the decoupling claim is an assertion, not a result. The dummy-proof issue and the missing WAN simulation methodology compound the problem. If the authors add a concurrent experiment (even on localhost) showing throughput stability during ceremony execution, and either use real proofs or clearly scope their throughput claim, the paper could meet the bar. The security analysis is sound but standard; novelty rests on the system design and evaluation, so the evaluation gaps are the primary concern."},"author_rebuttal":{"model":"glm-5.2","summary":"We thank the referee for a careful and constructive review. The referee identifies three major concerns: (1) the central claim that ceremony execution does not degrade transaction throughput is never empirically tested by running both concurrently, (2) the throughput baseline uses dummy proofs rather than real zkSNARK proofs, inflating the reported numbers, and (3) the claim of 'simulated wide-area network constraints' is unsupported because all experiments run on a single machine over localhost. We agree with all three points. In the revised manuscript, we will (1) add a concurrent-execution experiment measuring throughput during active CRS ceremonies, (2) explicitly scope the throughput claim to the sequencing/consensus layer and clarify that dummy proofs are used, and (3) either describe the WAN simulation methodology in detail or remove the WAN claim. We do not believe any of the referee's comments are unanswerable, though the concurrent-execution experiment requires additional work that we commit to completing in the revision.","responses":[{"response":"The referee is correct. The current evaluation measures transaction throughput and ceremony completion time in isolation, and the decoupling claim is supported only architecturally, not empirically. We acknowledge this is a significant gap. In the revised manuscript, we will add a concurrent-execution experiment that runs transaction load and CRS ceremony execution simultaneously, measuring throughput degradation (if any) during active ceremony rounds. This will directly test whether the 12+ sequential PBFT rounds for ceremony state updates (at power size 12, 12 participants) interfere with transaction batching on the shared consensus pipeline. We will report throughput before, during, and after ceremony execution. If degradation is observed, we will report it honestly and discuss mitigation strategies (e.g., prioritizing transaction batches, or using a separate consensus channel for ceremony state). The abstract and Contribution 3 will be revised to reflect what is actually measured.","revision_made":"yes","referee_comment":"§VI, Abstract, Contribution 3: The paper's central claim is that the framework 'safely decouples transaction pipelines from ceremony execution' and 'preserving stable L2 transaction throughput.' However, no experiment runs both systems concurrently. §VI.A measures throughput (3 nodes, ~41,000 tx/sec) with no ceremony running and with dummy proofs (§V.A). §VI.B measures ceremony completion time (6–12 nodes) with no transaction load. The decoupling is asserted architecturally but never empirically validated. This is load-bearing: if PBFT consensus rounds for ceremony state updates share the same consensus pipeline as transaction batching, throughput degradation could occur. For power size 12 with 12 participants, this means 12+ sequential PBFT rounds."},{"response":"The referee is correct. The use of dummy proofs means the reported throughput of ~41,000 tx/sec reflects only the sequencing and consensus layer, not the full cost of zkSNARK proof generation and verification. We will explicitly scope the throughput claim in the revised manuscript to 'sequencing and consensus layer throughput, excluding proof generation,' and add a clear statement in §V.A that dummy proofs are used. We chose dummy proofs because the paper's architectural contribution is the coordination framework for CRS lifecycle management, not a novel prover implementation. However, we agree that the current phrasing in the abstract and contributions overclaims what is measured. We will also add a discussion of how real proof generation would affect throughput, referencing typical prover costs from the literature, and note that integrating a production-grade prover is future work.","revision_made":"yes","referee_comment":"§V.A: The rollup uses 'dummy proofs' instead of real zkSNARK proofs. The throughput of ~41,000 tx/sec therefore does not reflect the cost of actual proof generation and verification. Since the paper's claim includes 'preserving stable L2 transaction throughput,' the baseline throughput itself is inflated. The paper should either run experiments with real proof generation or explicitly scope the throughput claim to the sequencing/consensus layer only, excluding proof generation."},{"response":"The referee is correct. The manuscript does not describe any WAN simulation methodology — no latency injection, bandwidth throttling, or packet loss simulation is applied. All nodes communicate via libp2p on localhost. The phrase 'simulated wide-area network constraints' in the abstract and §VI is misleading and should not have been included without a corresponding methodology description. In the revised manuscript, we will remove the WAN claim from the abstract and §VI, and clearly state that experiments were conducted on a single machine with nodes communicating over localhost. We will add a discussion of this as a limitation and note that evaluating under real WAN conditions (using network emulation tools such as tc/netem or a geo-distributed deployment) is important future work, since PBFT consensus latency and ceremony completion times would be affected by network delay.","revision_made":"yes","referee_comment":"§VI and Abstract: The paper claims experiments were conducted 'under simulated wide-area network constraints,' but §VI describes only a single-machine deployment where nodes communicate via libp2p on localhost. No description is given of how WAN latency, bandwidth constraints, or packet loss were simulated. Real WAN conditions would affect PBFT consensus latency, ceremony completion times, and throughput. Either the WAN simulation methodology must be described in detail, or the claim should be removed."}],"tokens_in":11675,"tokens_out":1090,"duration_ms":167369,"standing_objections":[]},"desk_editor":{"model":"glm-5.2","letter":"The one thing to know: this paper proposes using a decentralized PBFT-coordinated ZK-rollup sequencer network as a coordination substrate for recurring, epoch-based CRS generation. That specific framing — sequencers double as a ceremony coordination layer — is genuinely new. The prior decentralized sequencer work (Capretto, ChonkyBFT, Espresso) targets transaction ordering and data availability, not cryptographic ceremony lifecycle management. The paper correctly identifies this gap and the design is reasonable: two protocol variants (smart contract and P2P), commit-reveal for anti-bias, epoch-based CRS lifecycle with L1 anchoring. The security analysis inherits standard PoT assumptions (at least one honest participant per round) and the temporally bounded compromise property in Section IV.E follows straightforwardly from round independence. That part is fine — not deep, but correct. They also ship a working Golang implementation using libp2p and Circom's PoT, which is real engineering and earns credit. Ceremony completion times under adversarial conditions (node dropouts, invalid contributions) are measured across 10 iterations per configuration, and the recovery mechanisms work — all ceremonies complete without restart. That is a legitimate robustness result. Now the soft spots. The stress-test note lands hard here: the paper's central claim is that ceremony execution is decoupled from the transaction pipeline, but no experiment runs both concurrently. Section VI.A measures throughput (3 nodes, ~41k tx/sec) with no ceremony running and, critically, with dummy proofs instead of real ZK proofs. Section VI.B measures ceremony completion with no transaction load. The decoupling is asserted architecturally but never empirically validated. If PBFT rounds for ceremony state updates compete with transaction batching consensus, throughput could degrade — and with 12 participants, that is 12+ sequential PBFT rounds interleaved with transaction consensus. The paper never measures this. The dummy-proof substitution also inflates the baseline: real zkSNARK proof generation for 100k transactions would consume substantial CPU on the same nodes. The single-machine localhost deployment (3-12 nodes on one Xeon) is a minor concern compared to this — WAN effects would matter in production, but the missing concurrent experiment is the real gap. The security analysis is informal (no formal proofs), the reputation mechanism is mentioned but unspecified and unevaluated, and no commit hash is provided for the GitHub repo. These are secondary. Bottom line: the paper is for systems researchers and ZK infrastructure engineers thinking about ceremony automation. The architectural idea is sound and worth pursuing. The implementation is real. But the headline claim is untested, and a serious referee should require a concurrent-execution experiment with real proof generation before this is publishable. I'd send it to review — the contribution is there, but the evaluation needs to actually test what the paper claims to test.","headline":"New systems idea (decentralized L2 as coordination layer for recurring CRS ceremonies), but the headline decoupling claim is never tested concurrently — and throughput numbers use dummy proofs.","tokens_in":12659,"tokens_out":661,"would_cite":false,"duration_ms":136442,"reading_group":"no","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"glm-5.2","headline":"Decoupling Trusted Setup from Rollup Throughput","keywords":["trusted setup","CRS generation","ZK-rollup","PBFT consensus","decentralized sequencer","Layer 2","Powers of Tau","commit-reveal"],"falsifier":"If real ZK proof generation overhead or wide-area network latency significantly degrades either transaction throughput or ceremony completion time beyond the paper's reported bounds, the central claim of safe decoupling would not hold in practice.","tokens_in":11976,"feed_emoji":"","tokens_out":893,"duration_ms":145853,"temperature":0.7,"pith_summary":"The paper argues that a decentralized, PBFT-coordinated ZK-rollup sequencer network can safely decouple its high-throughput transaction processing pipeline from the execution of continuous, recurring trusted setup ceremonies. The central mechanism is the isolation of ceremony liveness: by running CRS generation either through an on-chain smart contract or through an asynchronous peer-to-peer consensus variant, ceremony latency and multi-round coordination overhead do not degrade transaction throughput. The paper demonstrates this through a Golang implementation of a decentralized ZK-rollup with a PBFT sequencer network, where rotating subsets of sequencers periodically execute Powers of Tau-style multi-party CRS generation. The key claim is that this decoupling works: ceremonies complete reliably within practical time bounds (47-275 seconds depending on configuration) even under node dropouts and malicious contributions, while the transaction pipeline sustains approximately 41,000 transactions per second.","feed_headline":"","feed_subtitle":"","key_machinery":"PBFT consensus + Powers of Tau MPC + commit-reveal + epoch-based CRS lifecycle","core_discovery":"The core discovery is that trusted setup ceremonies and high-throughput transaction processing, which have fundamentally different operational characteristics, can be co-located on the same decentralized sequencer network without either degrading the other. The paper shows that by decoupling ceremony execution from the transaction pipeline and employing commit-reveal structures with PBFT-validated contribution steps, the system can handle adversarial conditions (random disconnections, invalid contributions) through timeout-based participant exclusion and consensus-level rejection, allowing all ceremonies to complete without restart. The CRS size is dominated by the power parameter ratherthan","pith_inferences":["The single-machine localhost simulation with 3-12 nodes likely underestimates ceremony completion times for geographically distributed sequencer networks, where WAN latency and packet loss would increase PBFT consensus rounds per contribution.","The smart contract variant may face gas cost issues on production L2 systems for large CRS sizes, since each contribution update requires an on-chain transaction; the P2P variant avoids this but requires all participants to maintain replicated ceremony state.","The reputation mechanism for penalizing disruptive behavior is mentioned but not formally analyzed; its effectiveness against strategic adversarial behavior (e.g., griefing attacks where malicious nodes join ceremonies solely to trigger timeouts) remains untested.","The claim that CRS size grows marginally with participant count suggests that larger participant sets for enhanced security are feasible from a storage perspective, but the linear increase in ceremony duration with participants may impose a practical upper bound on decentralization of each ceremony round."],"forward_implications":["If the decoupling holds at scale, Layer 2 networks could host continuous trusted setup as a native protocol service, eliminating the need for standalone ceremony coordination infrastructure.","The epoch-based CRS lifecycle with rotating participant subsets could reduce long-term trust concentration in ZK systems, since compromise of one ceremony round is temporally bounded and does not affect subsequent rounds.","The framework could be extended to support other multi-round cryptographic ceremonies beyond CRS generation, potentially broadening the role of rollup sequencer networks from transaction processing to general-purpose decentralized coordination.","If real ZK proof generation overhead is comparable to the dummy proofs used in evaluation, the claimed throughput may not hold, necessitating end-to-end testing with actual proof generation."],"fun_headline_variants":["Continuous L2 trusted setups isolate ceremony latency from transaction throughput","Decoupling CRS generation from L2 pipelines enables continuous trusted setups","L2 networks can sustain continuous CRS generation without throughput loss","Isolating trusted setup liveness from L2 transaction pipelines","Continuous CRS generation survives adversarial conditions on L2"],"cache_read_input_tokens":0,"weakest_assumption_plain":"The evaluation was conducted on a single machine with nodes communicating over localhost using dummy ZK proofs rather than real proof generation, so the claimed throughput and ceremony completion times may not reflect performance under wide-area network conditions with actual cryptographic proof computation.","fun_headline_variants_meta":{"raw":{"variants":["Continuous L2 trusted setups isolate ceremony latency from transaction throughput","Decoupling CRS generation from L2 pipelines enables continuous trusted setups","L2 networks can sustain continuous CRS generation without throughput loss","Isolating trusted setup liveness from L2 transaction pipelines","Continuous CRS generation survives adversarial conditions on L2"]},"model":"glm-5.2","effort":"high","cost_usd":0.0,"raw_usage":{"total_tokens":1295,"prompt_tokens":456,"completion_tokens":839,"prompt_tokens_details":null},"tokens_in":456,"tokens_out":839,"duration_ms":69749,"temperature":1.0,"reasoning_tokens":809,"cache_read_input_tokens":0,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-07-09T00:20:21.081984+00:00","model_set":{"reader":"glm-5.2"},"falsifier":"If real ZK proof generation overhead or wide-area network latency significantly degrades either transaction throughput or ceremony completion time beyond the paper's reported bounds, the central claim of safe decoupling would not hold in practice.","supporting_citations":[],"review_version":1}