{ "schemaVersion": "dxrg-research-program-audit/v1", "title": "DXRG research program: scale and ECTO development audit", "reviewedAt": "2026-10-04T13:14:22.309638+00:00", "evidenceClass": "first-party aggregate disclosure", "publicationStatus": "reviewed-for-publication", "sourceAccess": "Selected aggregate values and audit findings are disclosed here; raw internal data, checkpoints and account records are not distributed.", "programs": [ { "name": "DX Terminal Pro", "source": "https://www.dxrg.ai/blogs/operating-layer-controls-paper", "scope": "Historical bounded real-capital deployment, February26-March18,2026", "fundedAgents": 3505, "activeVaults": 3454, "durationDays": 21, "approxInvocations": 7500000, "approxOnchainActions": 300000, "approxInferenceTokens": 70000000000, "unitNote": "Inference tokens are runtime usage, not training examples. Funded agents and vaults are not deduplicated lab-wide owner totals." }, { "name": "Continuous agent record", "source": "https://www.dxrg.ai/blogs/continuous-record-paper", "scope": "Historical fleet June8-August15,2026, mostly paper", "finalizedTurns": 231638, "fills": 14596, "realMoneyFills": 5035, "allHistoryAgentRange": [ 500, 599 ], "unitNote": "Paper engine has zero slippage/funding and simplified margin; do not add across lineage as unique agents." }, { "name": "Crypto-market archive", "inventoryDate": "2026-09-26", "tableFamilies": 73, "objects": 17376, "bytes": 4566106362866, "tebibytes": 4.152849544758283, "storageClass": "DEEP_ARCHIVE", "unitNote": "Recomputed from dated retained metadata inventory. Physical archive size is not deduplicated event count, current training input or source-completeness proof.", "scope": "Solana, Base and derived crypto-market research table families" }, { "name": "Available Solana extracts", "reviewedDate": "2026-10-04", "hourlyCoinBarRows": 7499126, "minuteSwapWindowRows": 9538961, "verification": "Parquet row-group metadata inspected directly; source-coverage receipt identifies one restored object per family.", "unitNote": "Rows have different aggregation units and may overlap; counts are not distinct trades or complete archive census." }, { "name": "Exact-L4 representation research", "scope": "Historical BTC/ETH/SOL pilot-v4 development screen", "trainWindows": 288, "trainSegmentRows": 1217509, "trainLatentRows": 604450, "validationWindows": 72, "validationSegmentRows": 300162, "validationLatentRows": 150134, "macroTokensPerComparedModel": 30007296, "result": "Temporal-validation gate failed for FIRE-MI versus matched Transformer; a negative representation screen, not trading performance.", "disclosureNote": "Aggregate values verified against retained pilot documentation; raw event data and remaining held-out assets are not published." } ], "ecto": { "researchScope": "Historical Solana token microstructure and state-lattice transformer development", "architecture": { "n_price_bins": 32, "n_volume_bins": 32, "n_time_bins": 32, "n_direction_bins": 2, "top_k_cells": 256, "price_range_pct": 0.1, "min_log_volume": -6.0, "max_log_volume": 6.0, "window_seconds": 300 }, "modelConfig": { "d_model": 256, "n_layers": 4, "n_heads": 8 }, "windowSeconds": 300, "targetHorizonSeconds": 900, "targetDefinition": "Log of mean price in the following target window divided by the first price of the input window; a research label, not a decision-time entry/exit return.", "classes": { "dumpBelowLogReturn": -0.12, "flatLogReturnRange": [ -0.08, 0.08 ], "pumpAboveLogReturn": 0.12, "intermediateZones": "ignored" }, "developmentEvaluation": { "n_samples": 12982, "accuracy": 0.8725928208288399, "dump_precision": 0.4015606242496999, "dump_recall": 0.8468354430379746, "dump_f1": 0.5447882736156351, "dump_n_pred": 1666, "dump_n_actual": 790, "flat_precision": 0.9825783972125436, "flat_recall": 0.8804638715432649, "flat_f1": 0.9287226534932957, "flat_n_pred": 10045, "flat_n_actual": 11210, "pump_precision": 0.6207710464201416, "pump_recall": 0.8034623217922607, "pump_f1": 0.7003994673768308, "pump_n_pred": 1271, "pump_n_actual": 982, "pump_precision@0.3": 0.47226709746903606, "n_pump_pred@0.3": 1857, "pump_precision@0.4": 0.6449215524360034, "n_pump_pred@0.4": 1211, "pump_precision@0.5": 0.7655502392344498, "n_pump_pred@0.5": 836, "pump_precision@0.6": 0.8183556405353728, "n_pump_pred@0.6": 523, "pump_precision@0.7": 0.8816568047337278, "n_pump_pred@0.7": 169, "return_correlation": 0.6373771519096085 }, "flatMajorityBaseline": 0.8635033122785395, "accuracyLiftOverFlatBaselinePercentagePoints": 0.908950855030044, "scopeLimitations": [ "Training selects best checkpoint using pump precision on the test partition. Treat it as development/model selection, not untouched final assessment.", "Training shuffled a list derived from set of sequence mints; later evaluation shuffled a chart-file list. Same seed does not establish identical disjoint token membership.", "Five-minute input windows and fifteen-minute targets overlap across one-minute strides; samples are dependent.", "Reported average returns are target-label averages without verified fills, fees, slippage, liquidity capacity or net execution economics.", "The log-return reference begins at input-window start, so part of the target movement is observed before decision time." ], "laterSmallValidation": { "n_samples": 13, "n_tokens": 5, "accuracy": 1.0, "dump_precision": 0.0, "dump_recall": 0.0, "dump_n_pred": 0, "dump_n_actual": 0, "flat_precision": 1.0, "flat_recall": 1.0, "flat_n_pred": 13, "flat_n_actual": 13, "pump_precision": 0.0, "pump_recall": 0.0, "pump_n_pred": 0, "pump_n_actual": 0, "return_correlation": -0.13736697150933405 }, "laterValidationInterpretation": "13 examples across5tokens, all actual/predictedflat; 100%accuracy supplies no pump/dump discrimination evidence.", "separateMicrostructureEvaluation": { "mse": { "naive": 0.06494513940262599, "linear_1step": 0.06487197284768305, "transformer_seq": 0.05147690325975418, "improvement_vs_naive": "20.74%", "improvement_vs_linear": "20.65%" }, "directional_accuracy": 0.48219115287646114, "accumulation_task": { "precision": 0.6690140845070423, "recall": 0.015907568653717348, "baseline_rate": 0.2736562490463257 } }, "microstructureInterpretation": "Recorded MSE reduction versus naive is20.74%, with directional accuracy48.22%; lower error on this recorded task is not established directional trading skill. Split/time/cost provenance is insufficient for a production claim.", "nextResearchContract": "Persist exact split membership; separate development, calibration and untouched chronological/asset evaluation; compare majority/class-specific baselines; align labels to decision time; score event-cluster uncertainty and replay executable cost-aware actions." } }