3KX1xU2bCC / artifacts /evidence_bundle.jsonl
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Add five-claim Frank-Wolfe executed evidence
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{"bytes": 634, "path": "artifacts/affine_dimension_summary.csv", "payload": [{"check": "dimension_embedding", "configuration": "d=2", "max_feasibility_violation": "0.0", "max_gap_error": "0.0", "max_iterate_or_residual_commutation_error": "0.0", "steps": "128"}, {"check": "dimension_embedding", "configuration": "d=3", "max_feasibility_violation": "0.0", "max_gap_error": "0.0", "max_iterate_or_residual_commutation_error": "0.0", "steps": "128"}, {"check": "dimension_embedding", "configuration": "d=8", "max_feasibility_violation": "0.0", "max_gap_error": "0.0", "max_iterate_or_residual_commutation_error": "0.0", "steps": "128"}, {"check": "dimension_embedding", "configuration": "d=32", "max_feasibility_violation": "0.0", "max_gap_error": "0.0", "max_iterate_or_residual_commutation_error": "0.0", "steps": "128"}, {"check": "ellipsoid_affine_invariance", "configuration": "diag(0.25,4)", "max_feasibility_violation": "0.0", "max_gap_error": "0.0", "max_iterate_or_residual_commutation_error": "0.0", "steps": "128"}, {"check": "ellipsoid_affine_invariance", "configuration": "diag(3,0.125)", "max_feasibility_violation": "0.0", "max_gap_error": "1.06989614222e-268", "max_iterate_or_residual_commutation_error": "7.18396235681e-265", "steps": "128"}, {"check": "ellipsoid_affine_invariance", "configuration": "rot30_diag(0.5,2)", "max_feasibility_violation": "0.0", "max_gap_error": "2.37786024713e-268", "max_iterate_or_residual_commutation_error": "2.87079696923e-265", "steps": "128"}, {"check": "negative_control_untransformed_euclidean_objective", "configuration": "diag(0.25,4)", "max_feasibility_violation": "not_applicable", "max_gap_error": "not_applicable", "max_iterate_or_residual_commutation_error": "0.310523195816", "steps": "8"}], "sha256": "e120f2a37938784cff35d25866dd8505ae51f858f13de488ac3b0b253b505162"}
{"bytes": 23672, "path": "artifacts/audit_five_claims.py", "payload_type": "standalone source file", "sha256": "6979fecbcf4752d02c88d66454bc213f24df1a8c3917c82868a11f03cd520563"}
{"bytes": 1002, "path": "artifacts/direct_vector_replay_checkpoints.csv", "payload": [{"absolute_error": "3.49973856939e-302", "cartesian_r": "0.0889017897116625463", "feasibility_violation": "0.0", "iteration": "0", "recurrence_r": "0.0889017897116625463", "x0": "0.0208711770989395774", "x1": "0.913582859452297493"}, {"absolute_error": "3.49973856939e-302", "cartesian_r": "0.0795883639903411409", "feasibility_violation": "0.0", "iteration": "1", "recurrence_r": "0.0795883639903411409", "x0": "-0.0177450443169645015", "x1": "0.922415071793240691"}, {"absolute_error": "1.16657952313e-302", "cartesian_r": "0.0720331485601776109", "feasibility_violation": "0.0", "iteration": "2", "recurrence_r": "0.0720331485601776109", "x0": "0.0153257673631011502", "x1": "0.929616086026530739"}, {"absolute_error": "4.25801525942e-301", "cartesian_r": "0.0458480462379929349", "feasibility_violation": "0.0", "iteration": "8", "recurrence_r": "0.0458480462379929349", "x0": "0.00786539142288106765", "x1": "0.954831659742624956"}, {"absolute_error": "1.43244384805e-294", "cartesian_r": "0.0186340051194736583", "feasibility_violation": "0.0", "iteration": "32", "recurrence_r": "0.0186340051194736583", "x0": "0.00206089031874948426", "x1": "0.981480311074787051"}, {"absolute_error": "1.00007447573e-266", "cartesian_r": "0.00551072485105653671", "feasibility_violation": "0.0", "iteration": "128", "recurrence_r": "0.00551072485105653671", "x0": "0.000333250951308038754", "x1": "0.994499360747376322"}, {"absolute_error": "9.05711360804e-229", "cartesian_r": "0.0028407397872925884", "feasibility_violation": "0.0", "iteration": "256", "recurrence_r": "0.0028407397872925884", "x0": "0.00012347749304564171", "x1": "0.997161945059055709"}, {"absolute_error": "2.70638628502e-152", "cartesian_r": "0.00144249857956740368", "feasibility_violation": "0.0", "iteration": "512", "recurrence_r": "0.00144249857956740368", "x0": "0.0000447060717111954809", "x1": "0.99855819435456573"}], "sha256": "3059ecce7d213146995321680854ea28435dc5059a29310504b2d4099ffa7a24"}
{"bytes": 6392, "path": "artifacts/five_claim_audit.json", "payload": {"anchored_claims": [{"claim_number": 1, "text": "Theorem 6 proves a constructive Omega(1/sqrt(epsilon)) lower bound on the number of iterations for Frank-Wolfe with short steps or exact line search when both the objective and the constraint set are smooth and strongly convex (Theorem 6)."}, {"claim_number": 2, "text": "The lower-bound construction uses the specific instance of minimizing f(x) = ||x-p||_2^2 over the Euclidean unit ball B_1(0) with the unconstrained minimizer p on the boundary (||p||=1), showing this hard instance matches the known O(1/sqrt(epsilon)) upper bound of Garber et al. (2015) (Theorem 6)."}, {"claim_number": 3, "text": "The lower bound is established via a 'backward reconstruction' technique that builds worst-case trajectories by working backward from terminal iterates, producing precise sequences over horizons of 10,000+ iterations (Section on Backward Reconstruction Strategy)."}, {"claim_number": 4, "text": "The analysis reduces the dynamics to a two-dimensional invariant subspace parametrized by residual magnitude r and contraction factor s, revealing stable phases of monotonically increasing contraction followed by intermittent 'jumps' that explain the convergence stalling behavior (Section on Dynamical Analysis)."}, {"claim_number": 5, "text": "The result shows strong convexity of the constraint set alone cannot yield convergence rates uniformly faster than O(1/sqrt(epsilon)), and this conclusion holds dimension-independently and extends to ellipsoidal constraints via affine invariance (Theorem 6, Implications)."}], "automated_test_suites_run": false, "claim_evidence": [{"claim_number": 1, "evidence": ["long_horizon", "direct_vector_replay"], "scope": "Finite-precision execution corroborates the constructive witness; the theorem remains an analytical result.", "status": "numerically corroborated"}, {"claim_number": 2, "evidence": ["long_horizon", "direct_vector_replay"], "scope": "The same hard instance is bracketed by matching residual envelopes and has a terminal-gap slope near -2.", "status": "numerically corroborated"}, {"claim_number": 3, "evidence": ["long_horizon"], "scope": "The largest generated trajectory exceeds 10,000 transitions and every adjacent pair is forward/backward checked.", "status": "reproduced"}, {"claim_number": 4, "evidence": ["rs_dynamics"], "scope": "The lower-bound witness is jump-free; intermittent jumps are demonstrated on a separate feasible trajectory and are not conflated with the witness.", "status": "reproduced with qualification"}, {"claim_number": 5, "evidence": ["dimension_and_affine"], "scope": "Numerical embeddings and three ellipsoid maps corroborate the theorem's dimension and affine consequences.", "status": "numerically corroborated"}], "evidence": {"dimension_and_affine": {"dimensions": [2, 3, 8, 32], "ellipsoid_maps": ["diag(0.25,4)", "diag(3,0.125)", "rot30_diag(0.5,2)"], "max_affine_positive_control_error": "7.18396235681e-265", "max_dimension_embedding_error": "0.0", "negative_control_naive_objective_deviation": "0.310523195816", "steps_per_positive_configuration": 128, "table": "affine_dimension_summary.csv"}, "direct_vector_replay": {"checkpoint_table": "direct_vector_replay_checkpoints.csv", "max_feasibility_violation": "0.0", "max_recurrence_vs_cartesian_residual_error": "2.70638628502e-152", "steps": 512}, "long_horizon": {"checkpoint_table": "trajectory_16384_checkpoints.csv", "global_c_range": ["1.72401368791111733", "2.0"], "horizon_count": 9, "largest_actual_forward_steps": 16384, "largest_trajectory_monotonicity_violations": 0, "max_forward_inverse_error": "5.01703856035e-297", "max_upper_violation": "0.0", "min_lower_margin": "0.0", "precision_decimal_digits": 300, "states_audited": 32713, "summary_table": "long_horizon_summary.csv", "terminal_gap_log_log_slope_last_five": -1.9952621757403202}, "negative_controls": {"low_precision_direct_replay": {"failure": null, "max_direct_replay_error_before_failure": "0.0114825303087", "precision_decimal_digits": 16, "rejected": true, "steps_requested": 1000}, "naive_affine_objective": "0.310523195816"}, "rs_dynamics": {"contraction_decreases": 10, "honesty_note": "The backward lower-bound witness is jump-free. The jump table is a separate feasible forward trajectory illustrating the paper's intermittent-jump regime; it is not represented as part of the lower-bound witness.", "jump_probe_steps": 40, "jump_table": "rs_jump_trajectory_40_steps.csv", "major_jump_definition": "s_(t+1) < s_t and s_(t+1) < 1/2", "major_jump_iterations": [6, 11, 24], "separate_jump_probe_initial_state": {"r0": "1", "s0": "0.44"}, "stable_monotonicity_violations": 0, "stable_table": "rs_stable_checkpoints.csv", "stable_trajectory_steps": 16384}}, "method": "independent Python/mpmath translation of displayed paper equations", "paper_id": "3KX1xU2bCC", "paper_title": "Lower Bounds for Frank-Wolfe on Strongly Convex Sets", "provenance": {"author_commit": "14ed7abbae917e68c1d212f914ba09d3b9a1db30", "judged_space_parent_sha": "4dff29aaf00d18cf8f07a667e89a671464f987db", "observed": {"author_commit": "14ed7abbae917e68c1d212f914ba09d3b9a1db30", "paper_pdf_sha256": "e7d48797b61ce4044767f1dc601f78ca4e49e5a322bd5cf352243da8ae2ad4c0", "published_repro_commit": "1f9fbd1735b3b28a1091dfd1ee5aa95b10aa0e23"}, "paper_pdf_sha256": "e7d48797b61ce4044767f1dc601f78ca4e49e5a322bd5cf352243da8ae2ad4c0", "published_repro_commit": "1f9fbd1735b3b28a1091dfd1ee5aa95b10aa0e23"}, "schema_version": 1}, "sha256": "d5a68d0e1807b0de092a9f1a999118e9537b0686eaf75618507fc13082a1467e"}
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