https://dongtsi.github.io/awesome-trustworthy-jev/ Jev research papers, ordered by first public publication date. en https://arxiv.org/abs/2610.12292 https://arxiv.org/abs/2610.12292#publication Separates fail-open and fail-closed errors in open decision-model guardrails; misleading option names can reverse decisions when labels enter the model input. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11978 https://arxiv.org/abs/2610.11978#publication Compares Jev with 19 LLMs on 13 benchmarks; strong knowledge scores coexist with a marked weakness on mathematical word problems. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11901 https://arxiv.org/abs/2610.11901#publication Jev matches GPT-5.6 on English VAST stance labels but trails stronger models on Chinese conversational stance, especially favor-versus-against distinctions. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11692 https://arxiv.org/abs/2610.11692#publication Uses frozen Jev as a policy reference, exploration judge and replay rater; gains depend on the learning role and supplied information. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11436 https://arxiv.org/abs/2610.11436#publication A colon edit increases false acceptance of explicitly wrong final answers under sorted request keys, while insertion-order requests reject both variants. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11392 https://arxiv.org/abs/2610.11392#publication Uses policy-driven generators to test calibration, framing, abstention and cost; good error ranking does not ensure calibrated or evidence-sensitive confidence. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11379 https://arxiv.org/abs/2610.11379#publication Combines context-state reuse, candidate-prefix sharing and layer pruning for OmniJev; compact execution does not consistently reduce measured latency. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11316 https://arxiv.org/abs/2610.11316#publication Trains a multimodal bi-encoder with request-to-candidate contrastive learning; including options in requests improves closed-set decisions while retaining cached candidate embeddings. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.11135 https://arxiv.org/abs/2610.11135#publication Tests cold-start knowledge tracing with reader swaps and matched typed inputs; Jev benefits mainly from its model prior, while supervised methods catch up with more learners. Thu, 08 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.10615 https://arxiv.org/abs/2610.10615#publication Uses tree-path voting to select semantic questions under a feature budget; fewer sequential questions cost more than batching in the tested pilots. Wed, 07 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.09937 https://arxiv.org/abs/2610.09937#publication Separates physical representation from reasoning in fault diagnosis; engineered features improve consistency, but stable shift performance does not imply superior absolute accuracy or useful detection. Wed, 07 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.09683 https://arxiv.org/abs/2610.09683#publication Tests confidence-based deferral from fast decision models to a slow visual reasoner; offline gains do not translate into Doom level completion. Wed, 07 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.09328 https://arxiv.org/abs/2610.09328#publication Trains a local Qwen verifier for joint reference identity and image conditions, then averages binary probabilities as an image-generation reward. Wed, 07 Oct 2026 00:00:00 GMT https://zenodo.org/records/23179064 https://zenodo.org/records/23179064#publication Audits exact probability targets and human disagreement: normalized Noul better tracks stated base rates, while per-task calibration narrows the gap on human-vote distributions. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.09188 https://arxiv.org/abs/2610.09188#publication Distills Jev and Qwen pairwise probabilities into small evaluators; matched-budget chess gains replicate, while retrieval gains remain uncertain. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.08775 https://arxiv.org/abs/2610.08775#publication Benchmarks agents that build reusable artifacts for large workloads; most runs lose quality relative to zero-shot calls, while selected artifacts approach Jev at lower projected API cost. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.08675 https://arxiv.org/abs/2610.08675#publication Holds arithmetic and operand values fixed while swapping financial citations; Jev misses some wrong-role evidence and rejects some equivalent evidence, with column rendering changing the trade-off. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.08155 https://arxiv.org/abs/2610.08155#publication Uses a Laya controller, compact evidence reader and bounded task menus to coordinate LLM workers; reports lower GPT token use and end-to-end latency across seven benchmarks. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.08089 https://arxiv.org/abs/2610.08089#publication Formalizes contribution-weighted semantic-query quality; v2 adds confidence-centric skipping of unscored tuples once predicted output targets are guaranteed. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.07953 https://arxiv.org/abs/2610.07953#publication Separates moderation rules, retrieved precedents and answer inventories across five benchmarks; Jev benefits from precedents in matched settings, while Laya often changes its operating point without better discrimination. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.07730 https://arxiv.org/abs/2610.07730#publication Trains typed readouts after repeated backbone loops; eight loops improve accuracy at fixed model shape, but cost more compute and calibrate worse than three loops. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.07716 https://arxiv.org/abs/2610.07716#publication Tests cached first-pass rankings under candidate-menu changes and compares re-asking with model cascades; ranking stability supports computation reuse but does not itself identify unlabeled accuracy. Tue, 06 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.06744 https://arxiv.org/abs/2610.06744#publication Scores Turkish answer options independently at shared positions to remove order effects; supervised training beats the tested REINFORCE variant, while temperature calibration degrades on held-out question types. Mon, 05 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.06625 https://arxiv.org/abs/2610.06625#publication Replicates seven annotation and scaling studies: Jev is faster, matches or approaches comparison models on several tasks, and has no price advantage over the reported batch-rate baseline. Mon, 05 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.06425 https://arxiv.org/abs/2610.06425#publication Audits 139 network-control paper families and separates decision latency from verified service completion; queueing and coverage checks can reverse admission decisions. Mon, 05 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.06354 https://arxiv.org/abs/2610.06354#publication Benchmarks graph structure, graph-text evidence and sequential optimization across fourteen model-interface configurations; Jev benefits from heuristic proposals but gains over fixed rules depend on the task. Mon, 05 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.04985 https://arxiv.org/abs/2610.04985#publication Studies input manipulation, constrained-output privacy and defensive detection; official Jev API experiments and controlled NanoJev training experiments expose distinct risks. Sun, 04 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.04345 https://arxiv.org/abs/2610.04345#publication Measures the quality/latency trade-off in antenna selection and RAN slicing: Jev responds faster, while utility gains depend on the task and execution costs. Sat, 03 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.03387 https://arxiv.org/abs/2610.03387#publication Pairs present and omitted reference labels at matched candidate counts; Jev and Laya show task-dependent detection versus false-rejection trade-offs. Fri, 02 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.03324 https://arxiv.org/abs/2610.03324#publication Compares six decision-model configurations for hate-speech moderation; supplied definitions and question decomposition do not consistently improve agreement with labels. Fri, 02 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.03073 https://arxiv.org/abs/2610.03073#publication Specializes a shared candidate scorer with security LoRA adapters; strong in-domain gains coexist with limited latency gains over one-token generation and transfer false alarms. Fri, 02 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.02076 https://arxiv.org/abs/2610.02076#publication Studies when existing LLMs already support Jev-style decisions. Thu, 01 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.02048 https://arxiv.org/abs/2610.02048#publication Uses Jev and a rule gate to triage simulated water-network alarms, reducing the workload passed to an LLM reviewer. Thu, 01 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.01834 https://arxiv.org/abs/2610.01834#publication Separates evaluating supplied consequences from simulating missing ones. Thu, 01 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.01079 https://arxiv.org/abs/2610.01079#publication Evaluates typed intrusion decisions with limited labels on an NSL-KDD pilot; the study does not establish performance on live network traffic. Thu, 01 Oct 2026 00:00:00 GMT https://arxiv.org/abs/2610.01006 https://arxiv.org/abs/2610.01006#publication Audits missing knowledge with paired evidence interventions. Thu, 01 Oct 2026 00:00:00 GMT https://zenodo.org/records/23066522 https://zenodo.org/records/23066522#publication Introduces a bidirectional encoder with a set-attention option head; benchmark-trained results are compared with a zero-shot hosted service. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2610.00831 https://arxiv.org/abs/2610.00831#publication Reads option probabilities from pretrained LLMs and corrects label and position bias with prior normalization and cyclic option rotations. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2610.00437 https://arxiv.org/abs/2610.00437#publication Explores compositional action spaces for fast agent inference. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2610.00381 https://arxiv.org/abs/2610.00381#publication Studies candidate-conditioned multimodal decisions against a matched generative baseline, reporting improved calibration with task-dependent accuracy trade-offs. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2610.00376 https://arxiv.org/abs/2610.00376#publication Jev is faster than the tested LLM but trails trained trees on traffic classification. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.39496 https://arxiv.org/abs/2609.39496#publication Finds an arithmetic rejection bottleneck despite an explicit fallback option. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.39111 https://arxiv.org/abs/2609.39111#publication Trains an open System One model with outcome feedback. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.38850 https://arxiv.org/abs/2609.38850#publication Implements a third-party calibrated-decision reinforcement objective. Wed, 30 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.38827 https://arxiv.org/abs/2609.38827#publication Measures ordinal scale compression as candidate counts grow. Wed, 30 Sep 2026 00:00:00 GMT https://zenodo.org/records/23032384 https://zenodo.org/records/23032384#publication Tests confidence under human disagreement with bias-corrected calibration. Tue, 29 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2610.00346 https://arxiv.org/abs/2610.00346#publication Compares typed models, trained classifiers and LLM readouts under matched requests. Tue, 29 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.37647 https://arxiv.org/abs/2609.37647#publication Evaluates Jev across public classification, routing and reasoning datasets. Calibration and selective prediction vary with the task and decision interface. Tue, 29 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.36965 https://arxiv.org/abs/2609.36965#publication Develops a System One model for Chinese-language tasks. Tue, 29 Sep 2026 00:00:00 GMT https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7525901 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7525901#publication Shows why marginal Noul probabilities do not identify a conjunction policy. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.36399 https://arxiv.org/abs/2609.36399#publication Audits persona and language effects despite highly repeatable answers. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.36116 https://arxiv.org/abs/2609.36116#publication Adds an action-description encoder to an LLM and evaluates frozen-backbone and joint reinforcement learning for typed decisions. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.36115 https://arxiv.org/abs/2609.36115#publication Uses atomic output tokens for fast structured decisions. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.36059 https://arxiv.org/abs/2609.36059#publication Combines raw records with fast judgments and slower reasoning. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.35342 https://arxiv.org/abs/2609.35342#publication Introduces Sys1Cal-v1 with probabilities known by construction, exposing differences between Choice, Noul and Score outputs. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.35286 https://arxiv.org/abs/2609.35286#publication Separates source attribution from the quality of a fixed argument. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.34969 https://arxiv.org/abs/2609.34969#publication Studies action-centric representations and decision memory for navigation. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.34963 https://arxiv.org/abs/2609.34963#publication Uses Jev to classify code weaknesses and guide a repair model. Repairs improve results under the benchmark’s insecure-code detector. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.34862 https://arxiv.org/abs/2609.34862#publication Compares Jev with generative judges on agent-trajectory security benchmarks, examining detection quality, valid outputs and inference cost. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.34227 https://arxiv.org/abs/2609.34227#publication Tests raw-turn selection against extraction under controlled memory budgets. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.34180 https://arxiv.org/abs/2609.34180#publication Compares anomaly decision readouts under fixed video-derived evidence. Mon, 28 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.37470 https://arxiv.org/abs/2609.37470#publication Links exact posteriors, equivalent requests and action-sensitive loss. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.34024 https://arxiv.org/abs/2609.34024#publication Audits Jev 1.13 accuracy, calibration, selective prediction and unanswerable-question handling across four medical benchmarks. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33971 https://arxiv.org/abs/2609.33971#publication Compares direct and hierarchical decisions on matched items. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33874 https://arxiv.org/abs/2609.33874#publication Tests local candidate-likelihood inference with shared computation. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33843 https://arxiv.org/abs/2609.33843#publication Audits calibration and selective escalation in an open decision model. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33689 https://arxiv.org/abs/2609.33689#publication Maps when typed decision gates are applicable to network control. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33671 https://arxiv.org/abs/2609.33671#publication Combines a calibrated CPU gate with a Laya CPU-NPU cascade for prompt safety, measuring false positives, latency and out-of-domain transfer. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33609 https://arxiv.org/abs/2609.33609#publication Uses typed decisions in local demonstration refinement. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33401 https://arxiv.org/abs/2609.33401#publication Compares security judgments across attack groups and tests confidence-based escalation. Aggregate calibration can hide groups with more missed attacks. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.33209 https://arxiv.org/abs/2609.33209#publication Tests logical probability coherence without needing class labels. Sun, 27 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.35865 https://arxiv.org/abs/2609.35865#publication Uses paired evidence and permutation constraints to improve typed-readout robustness. Sat, 26 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.32160 https://arxiv.org/abs/2609.32160#publication Audits the first research wave and its evaluation practices. Sat, 26 Sep 2026 00:00:00 GMT https://zenodo.org/records/22952571 https://zenodo.org/records/22952571#publication Evaluates allow, hold and deny against authored policy specifications. Fri, 25 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.31142 https://arxiv.org/abs/2609.31142#publication Introduces an adversarial benchmark that compares single-field perturbations with repeated clean requests, separating attack effects from output noise. Fri, 25 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.30922 https://arxiv.org/abs/2609.30922#publication Routes and combines LoRA experts using typed choices. Fri, 25 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.30706 https://arxiv.org/abs/2609.30706#publication Learns which missing information is worth asking for. Fri, 25 Sep 2026 00:00:00 GMT https://escholarship.org/uc/item/4t4449jv https://escholarship.org/uc/item/4t4449jv#publication Audits task-specific calibration and label-wording sensitivity. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.30243 https://arxiv.org/abs/2609.30243#publication Optimizes ordinary-looking context to redirect initially correct decisions. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.30216 https://arxiv.org/abs/2609.30216#publication Maps decision interfaces and adoption across 2,170 public projects. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.30186 https://arxiv.org/abs/2609.30186#publication Separates VLM planning from typed GUI execution. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.29769 https://arxiv.org/abs/2609.29769#publication Correlated errors limit the accuracy benefit of judge cascades. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.29429 https://arxiv.org/abs/2609.29429#publication Evaluates zero-shot detection of ten alignment-failure families. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.29283 https://arxiv.org/abs/2609.29283#publication Studies visual choice readouts with matched generation baselines. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.28940 https://arxiv.org/abs/2609.28940#publication Explores typed decision layers for pentest finding validation and triage. Thu, 24 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.28919 https://arxiv.org/abs/2609.28919#publication Models routing economics with session-level cache effects. Thu, 24 Sep 2026 00:00:00 GMT https://zenodo.org/records/22921974 https://zenodo.org/records/22921974#publication Provides composable tooling, calibration utilities and recorded API experiments. Wed, 23 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.28613 https://arxiv.org/abs/2609.28613#publication Measures injection-driven probability shifts and validated targeted decisions. Wed, 23 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.28587 https://arxiv.org/abs/2609.28587#publication Uses multiway decision trees for numerical readout. Wed, 23 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.27678 https://arxiv.org/abs/2609.27678#publication Shows that aggregate accuracy and repeated agreement hide item-level failures. Wed, 23 Sep 2026 00:00:00 GMT https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7500140 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7500140#publication Studies a privacy-oriented typed interface and deterministic fallback. Tue, 22 Sep 2026 00:00:00 GMT https://doi.org/10.5281/zenodo.22901853 https://doi.org/10.5281/zenodo.22901853#publication Audits judgment-layer costs, latency and self-reported fields; separates access-layer defects from model errors and tests paired error complementarity. Tue, 22 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.26758 https://arxiv.org/abs/2609.26758#publication Tests whether option names override their attached rubrics. Tue, 22 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.26550 https://arxiv.org/abs/2609.26550#publication Studies confidence-based acceptance and escalation for model judging. Tue, 22 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.26532 https://arxiv.org/abs/2609.26532#publication Tests selective agent control and near-valid action alternatives. Tue, 22 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.25845 https://arxiv.org/abs/2609.25845#publication Compares visual decision heads with matched generation baselines. Shared computation improves efficiency, while dedicated heads do not consistently improve accuracy. Tue, 22 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.25498 https://arxiv.org/abs/2609.25498#publication Reports an alternative edge decision implementation and benchmark comparison. Mon, 21 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.24965 https://arxiv.org/abs/2609.24965#publication Separates semantic choices, intermediate calculations and final labels to reveal errors that a final-answer score can hide. Mon, 21 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.24574 https://arxiv.org/abs/2609.24574#publication Compares decision models with LLMs on text annotation; confidence-based routing helps on some tasks but high confidence can conceal task-specific errors. Mon, 21 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.24052 https://arxiv.org/abs/2609.24052#publication Audits Jev probabilities against blinded human labels and tests recalibration, probability-grid resolution and review-budget allocation. Mon, 21 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.23986 https://arxiv.org/abs/2609.23986#publication Places a typed decision controller inside agent memory. Mon, 21 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.23959 https://arxiv.org/abs/2609.23959#publication Evaluates an open typed readout for scam-call screening. Mon, 21 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.23886 https://arxiv.org/abs/2609.23886#publication Provides an open model with a native typed decision interface. Sun, 20 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.23136 https://arxiv.org/abs/2609.23136#publication Studies how decision latency affects bounded service orchestration. Sat, 19 Sep 2026 00:00:00 GMT https://arxiv.org/abs/2609.22753 https://arxiv.org/abs/2609.22753#publication Measures typed decisions in deadline-constrained service admission. Sat, 19 Sep 2026 00:00:00 GMT https://zenodo.org/records/23064668 https://zenodo.org/records/23064668#publication Analyzes how latent regime shifts and repeated thresholds can invalidate composed decision pipelines, using formal assumptions and synthetic experiments. Thu, 17 Sep 2026 00:00:00 GMT