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2026-08-29analysis: count CLLN cost-to-target scalingYurenHao0426
2026-08-29analysis: harden CLLN confirmation provenanceYurenHao0426
2026-08-29analysis: add overclamp scaling confirmation pipelineYurenHao0426
2026-08-29figure: promote confirmed nonlinear hardware resultsYurenHao0426
2026-08-29analysis: freeze nonlinear hardware confirmation gateYurenHao0426
2026-08-29exp: add clean overclamp to hardware confirmationYurenHao0426
2026-08-29exp: freeze nonlinear CLLN hardware confirmationYurenHao0426
2026-08-29test: verify large-grid edges affect CLLN outputsYurenHao0426
2026-08-29analysis: compare three CLLN scaling endpointsYurenHao0426
2026-08-29figure: show SDIL transfer across digital learnersYurenHao0426
2026-08-29figure: consolidate hardware-realistic CLLN evidenceYurenHao0426
2026-08-29analysis: validate the frozen CLLN panelYurenHao0426
2026-08-29analysis: label frozen CLLN confirmations explicitlyYurenHao0426
2026-08-29theory: connect local bias removal to CLLN scalingYurenHao0426
2026-08-29test: audit CLLN locality and numerical invariantsYurenHao0426
2026-08-29analysis: support sharded CLLN confirmationsYurenHao0426
2026-08-29results: freeze size-matched overclamp selectorYurenHao0426
2026-08-29analysis: add CLLN scaling pilot figureYurenHao0426
2026-08-29feat: add clean-only overclamp selection pathYurenHao0426
2026-08-29feat: add stable-target and physical-exposure metricsYurenHao0426
2026-08-29feat: add sparse digital CLLN scaling ladderYurenHao0426
2026-08-29analysis: add clustered correlated autozero intervalsYurenHao0426
2026-08-29exp: add correlated autozero robustness matrixYurenHao0426
2026-08-29docs: label SPICE reference configurationYurenHao0426
2026-08-29fix: separate autozero SPICE switching phasesYurenHao0426
2026-08-29exp: add SPICE autozero primitive checkYurenHao0426
2026-08-29analysis: add clustered autozero intervalsYurenHao0426
2026-08-29exp: add hardware autozero robustness matrixYurenHao0426
2026-08-29fix: count divergent physical calibration trialsYurenHao0426
2026-08-29exp: stress test SDIL calibrationYurenHao0426
2026-08-29fig: summarize the full physical grid crossoverYurenHao0426
2026-08-29fig: plot physical grid bias crossoverYurenHao0426
2026-08-29exp: add physical grid bias crossoverYurenHao0426
2026-08-29exp: add physical grid clean-learning gateYurenHao0426
2026-08-29feat: train the reconstructed physical gridYurenHao0426
2026-08-29data: extract the released Figure 5 protocolYurenHao0426
2026-08-29feat: reconstruct the Dillavou physical gridYurenHao0426
2026-08-29results: validate SDIL on device imperfection modelYurenHao0426
2026-08-29exp: add device-level imperfection crossoverYurenHao0426
2026-08-29feat: model state-dependent physical learning biasYurenHao0426
2026-08-29exp: add physical clamp budget crossoverYurenHao0426
2026-08-29feat: compose SDIL with physical overclampingYurenHao0426
2026-08-27exp: freeze raw KP traffic scaling controlYurenHao0426
2026-08-10results: close BabyAI population predictor rescueYurenHao0426
2026-08-10exp: freeze BabyAI population predictor screenYurenHao0426
2026-08-10results: reject diagonal SDIL on PickupLocYurenHao0426
2026-08-10results: select four-step PickupLoc historyYurenHao0426
2026-08-10feat: add basal history to BabyAI policyYurenHao0426
2026-08-10results: close feedforward PickupLoc gateYurenHao0426
2026-08-10results: retain GoToObj as diagnostic onlyYurenHao0426
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