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W3 R83 original and independently audited MNAR sensitivity evidence ledger

Research-only numerical provenance · 21 October 2026

Five sensitivity values do NOT identify MNAR or qualify inference

The five outcome-dependent selection coefficients are hypothetical externally specified assumptions. True selection parameters and conditional response mean are available only in simulation. R83 supplies descriptive pointwise weighted least-squares results, no validated confidence intervals or general nominal-90% simultaneous bands. Issues #289/#296 stay open; stable 1.1.0 API unchanged, unreleased v1.2/PyPI HOLD.

Evidence identity and replication count

Contract Actual evidence
Prospectively frozen original source and hypotheses Research-only draft PR #423
Original dedicated science workflow #39575847765, 12/12 successful dedicated jobs
Original source SHA256 archive Artifact #12333573581
Original source checkout 4aaf792457c789b3fafd218e3dd94ae46af47e86
Separately implemented numerical audit R83-A research draft PR #424
Original archive replay workflow #39576738539, 4/4 dedicated independent jobs successful
Separately retained audit report Artifact #12334118238
New genuinely independent primitive source blocks 32 per fixed unit-design/predictor-support/variance cell
Original complete X/Y source conditions 256 (32×2×2×2)
Paired original complete/MCAR/MAR/MNAR masks 1,024 (four per original X/Y source condition)
Independent audited descriptive source-analysis records 3,328 (13 per source; NOT 3,328 independent replications)
Five MNAR sensitivity assumptions δ=−1.1, −.55, 0, +.55, +1.1
True simulation-only MNAR reference Original δ=+1.1 with simulator-known true conditional mean, NOT a field-data model
Native public regression Missing gaze correctly refused, not imputed
Real missingness inference Not calibrated, no supported MNAR estimator, interval, or release

The complete generating law is the R81-family independent-unit shared Student-t5 radial and centered rare asymmetric unit shock on a nonseparable two-coordinate Gaussian functional process. R83 uses new seed streams source 202610218380 and observation 202610218381, distinct from R82. The original mask uniforms are paired across complete/MCAR/MAR/MNAR mechanisms within a source.

Figure 1 — observed-only assumption sensitivity

Independently source-replayed five-delta pointwise slope sensitivity

Figure 1. Mean source-specific absolute pointwise slope shift from complete data, among estimable positions, for two influential units and predictor-dependent source variance.

Frozen assumed δ Curves, MAR mask Curves, MNAR mask Participants, MAR mask Participants, MNAR mask
−1.10 .003733 .004444 .011936 .012811
−0.55 .003160 .003797 .011293 .011845
0 .003015 .003481 .011032 .011190
+0.55 .003253 .003527 .011135 .010913
+1.10 .003901 .003926 .011657 .011048

Within the identical MNAR mask, comparing slope functions under the two endpoint assumptions at grid positions estimable under both yields mean source absolute endpoint spread 0.004530 for curves and 0.008409 for participants. This is neither an inferential interval nor a causally identified selection effect. The source-known true-propensity oracle's mean shift from complete was .004475 curves and .011453 participants; its error does not necessarily have to be the smallest finite-source realized error.

Figure 2 — original observation retention and independent signed-anchor support

Observed original mask sample fractions and pointwise refusal

Figure 2. All sensitivity values applied to a given mask have the same observed fraction and underlying independent-unit support. Under two extreme predictor units and heteroskedasticity:

Original source mask Curves: fraction retained Curves: mean refused grid /62 Participants: fraction retained Participants: mean refused /62
COMPLETE 1.0000 0.00 1.0000 0.00
MCAR .8800 13.44 .8805 .31
MAR .8423 31.81 .8094 5.47
MNAR .8304 32.16 .7906 10.53

The diagnostic refuses each of 62 grid positions without n≥8 independent units, rank-two pointwise design and both signed ±4 original predictor anchors. The oracle and weighting cannot restore unavailable signed extremes.

Figure 3 — weights and cluster information

Source-averaged assumed inverse observation weights across R83 MNAR delta

Figure 3. The missingness mask remains fixed, but weights change under the hypothetical δ. In the primary adverse MNAR condition:

δ Curves: mean max inverse observation weight Curves: mean effective independent cluster n Participants: mean max weight Participants: mean effective cluster n
−1.10 2.664 59.55 3.504 31.33
−0.55 1.977 60.39 2.468 32.36
0 1.597 60.64 1.902 32.86
+0.55 1.895 60.50 2.447 33.02
+1.10 2.489 59.89 3.476 32.76

Independent curve design has n=72 units; repeated-trial participant design has n=36 units. These are descriptive effective-cluster and maximum weight summaries, not calibrated uncertainty estimators.

Complete prespecified eight-cell MNAR diagnostic summary

The table reports the MNAR mask only, the δ=0 observed-only pointwise slope absolute shift from the matched complete source, and the source mean within-mask absolute endpoint slope spread for δ=−1.1 versus +1.1 on jointly estimable positions.

True independent design Extreme units Error variance MNAR observed fraction Refused grid /62 δ=0 mean absolute shift Endpoint δ slope spread
Curves 2 Constant .8334 31.69 .001692 .001396
Curves 2 Heteroskedastic .8304 32.16 .003481 .004530
Curves 16 Constant .8064 0.00 .001594 .001235
Curves 16 Heteroskedastic .8021 0.00 .006367 .005656
Participants 2 Constant .7941 8.69 .003491 .003095
Participants 2 Heteroskedastic .7906 10.53 .011190 .008409
Participants 16 Constant .7361 0.00 .002066 .002176
Participants 16 Heteroskedastic .7282 0.00 .007858 .008502

These quantities are conditioned on the mechanism-specific estimable grid, not comparable as if they were complete functional confidence-band coverage or between-law causal treatment effects. The archive separately retains all source X/Y and mask checksums, individual pilot fits, 62-grid support/refusal matrices, source absolute/signed slope errors, MCAR and MAR controls, oracle truth diagnostics, inverse weights, and original release-withheld qualification flags.

Scientific boundary and publication decisions

The independent R83-A original evidence audit reproduced each original source, each paired missingness mask and 3,328 weighted or complete-data pointwise diagnostic records, including checksums and refusal accounting, using an independent sufficient-statistic weighted-slope implementation. It establishes numerical reproducibility of this chosen simulation law and hypothetical selection family.

It does not establish that δ or the missing-outcome selection mechanism can be learned from actual gaze data; it does not provide a justified sensitivity interval with confidence guarantees, participant-cluster standard errors, valid missingness-dependent full-function uncertainty or general 90% simultaneous coverage. A simulator-known true-propensity oracle remains infeasible in field data.

No estimator code/API merge; #289/#296 OPEN, stable eyetrajectoriespy 1.1.0 unchanged, unreleased 1.2/PyPI RELEASE HOLD.

Full R83 scientific article · Methods companion · R82 observation-process source ledger