| { |
| "schema_version": 1, |
| "study_id": "dial_lexical_differentiation_v1", |
| "title": "Differentiate Before You Integrate? When Embedding Factorization Becomes an Inductive Bias in Data-Limited Language Acquisition", |
| "frozen_at_utc": "2026-07-19T21:14:38Z", |
| "fixed_compute_deadline_utc": "2026-07-20T09:14:38Z", |
| "status": "prospective_before_any_dial_training_or_outcome_access", |
| "primary_question": "Does temporarily protecting complementary relational signals at lexical access reduce cross-talk and change acquisition before shared Transformer integration?", |
| "claim_boundary": { |
| "positive": "A temporary input-level relational scaffold changes the acquisition trajectory relative to an information-matched overlapping-support control.", |
| "excluded": [ |
| "persistent cognitive modules", |
| "human neural equivalence", |
| "grounded conceptual representations", |
| "universal architectural optimality", |
| "leaderboard superiority", |
| "Poincare geometry" |
| ] |
| }, |
| "conditions": { |
| "aligned": "Real H/O/A relations in three disjoint orthogonal rank-128 input supports.", |
| "shared": "The exact same real H/O/A relations in three fixed dense overlapping rank-128 supports; each block is orthonormal and the concatenated condition number must be below 3.", |
| "shuffled": "Aligned supports with one identity permutation shared across all three relation views and restricted within frozen matching strata." |
| }, |
| "operational_relations": { |
| "H": "Hierarchical-distributional Brown radial-angular targets.", |
| "O": "Order-sensitive directional relative-position PPMI at offsets -3,-2,-1,+1,+2,+3.", |
| "A": "Associative-distributional symmetric PPMI." |
| }, |
| "architecture": { |
| "backbone": "dense PRISM GPT-BERT", |
| "hidden_size": 384, |
| "rank_allocation": [128, 128, 128], |
| "embedding_tables": 1, |
| "transformer_streams": 1, |
| "shared_transformer_from_layer": 1, |
| "input_output_embeddings_tied": false, |
| "final_factor_readout": false, |
| "parser": false, |
| "attention_masks_from_priors": false, |
| "block_specific_normalization": false |
| }, |
| "scaffold": { |
| "loss": "L_LM + lambda(t) * sum_k alpha_k L_k", |
| "lambda_schedule": "lambda0 * max(0, 1 - words_seen / 10000000)", |
| "withdrawal_words": 10000000, |
| "calibration_minibatch": 0, |
| "alpha_rule": "equalize initial H/O/A gradient norms on the input embedding table", |
| "lambda0_rule": "aggregate auxiliary gradient norm divided by LM gradient norm equals 0.25", |
| "outcome_tuning": false, |
| "orthogonality_penalty": false, |
| "cross_covariance_role": "diagnostic_only", |
| "structured_initialization": "0.75 fixed relational solution plus 0.25 paired isotropic initialization, renormalized to the registered initializer RMS" |
| }, |
| "design": { |
| "paired_seeds": [0, 1, 2, 3, 4, 5], |
| "conditions_per_seed": 3, |
| "fresh_models": 18, |
| "terminal_exposure_words": 40000000, |
| "learning_rate_schedule_words": 100000000, |
| "checkpoints_words": [1000000, 2000000, 3000000, 4000000, 5000000, 6000000, 7000000, 8000000, 9000000, 10000000, 20000000, 30000000, 40000000], |
| "same_within_pair": [ |
| "non-embedding initialization", |
| "document and batch order", |
| "dropout stream", |
| "edge batches", |
| "optimizer", |
| "gradient clipping", |
| "corpus", |
| "tokenizer", |
| "relation arrays", |
| "auxiliary schedule" |
| ], |
| "intended_difference": "support overlap or the frozen shared identity permutation only" |
| }, |
| "primary_endpoint": { |
| "battery": ["BLiMP", "COMPS", "EWoK", "Entity Tracking"], |
| "model_outputs": "native LM probabilities without fine-tuning or probes", |
| "trajectory": "equal-weight composite AUC over log exposure from 1M through terminal exposure", |
| "contrast": "aligned minus shared", |
| "falsification_gate": "aligned greater than shuffled", |
| "normalization": "independent frozen baseline only; otherwise equal-accuracy mean" |
| }, |
| "validity_gates": { |
| "lm_loss_noninferiority_nats_per_token": 0.02, |
| "minimum_shuffle_direction": "aligned greater than shuffled", |
| "random_basis_controls": 32, |
| "random_basis_matching": ["rank", "energy"], |
| "maximum_failed_seeds_per_condition": 1, |
| "systematic_throughput_or_clipping_difference_allowed": false |
| }, |
| "mechanism": { |
| "checkpoint_ages_words": [1000000, 10000000, 40000000], |
| "intervention": "input-block donor swaps matched by frequency, subword length, norm, coverage and degree", |
| "controls": "32 Haar-random equal-rank equal-energy bases", |
| "joint_interventions": "all 2^3 H/O/A swaps", |
| "interaction": "non-additive HxOxA contrast", |
| "gradient_audit_minibatches": 64, |
| "gradient_audit": "LM versus H/O/A cosine and conflict rates", |
| "imposed_not_result": "between-support orthogonality in aligned" |
| }, |
| "cognitive_bridge": { |
| "primary": "AoA prediction with frequency, length, contextual diversity and lexical class controls, including within-frequency-bin effects", |
| "secondary": "cross-validated log1p self-paced reading time, grouped by the 205 sentences, with frequency, length, position, spillover and paired shared-condition surprisal controls", |
| "exploratory": "ERP only; no post-hoc mapping from subspaces to components", |
| "human_causality_claimed": false |
| }, |
| "statistics": { |
| "unit": "paired training seed", |
| "primary_test": "two-sided exact paired sign-flip", |
| "minimum_attainable_two_sided_p": 0.03125, |
| "report": ["every seed", "paired effect", "confidence interval"], |
| "no_checkpoint_pseudoreplication": true |
| }, |
| "compute_fallback": { |
| "decision_input": "preflight throughput only, before outcome access", |
| "if_predicted_wall_time_to_40m_exceeds_hours": 8.5, |
| "fallback_terminal_exposure_words": 30000000, |
| "node_failure": "retain complete balanced pairs only, first five then first four seeds", |
| "forbidden": "asymmetric condition truncation or metric-driven adaptation" |
| }, |
| "priority_order": [ |
| "primary acquisition composite", |
| "AoA", |
| "input swaps", |
| "gradient conflict", |
| "reading time", |
| "full zero-shot for one preregistered model", |
| "SuperGLUE", |
| "ERP", |
| "embedding visualization" |
| ], |
| "artifact_policy": { |
| "model_checkpoints": "all registered ages plus 40M main and recovery on Hugging Face", |
| "priors_tokenizer_corpus": "pinned Hugging Face revisions", |
| "study_archive": "data and machine-readable provenance only", |
| "adaptive_result_access_before_all_lineages_sealed": false |
| }, |
| "retrospective_context_only": [ |
| "FACTORIZED tournament", |
| "FACTORIZED mechanism study", |
| "factorized resource substitution study", |
| "STRUCTURED-DS tournament" |
| ] |
| } |
|
|
