{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"representation_independent_interface_contract__chemistry_materials","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_id":"material-lot-lineage-ledger-contract","proposal_index":4,"version":0,"title":"Representation-Independent Material-Lot Lineage Ledger","problem":"Materials laboratories split powders, combine precursor lots, transfer aliquots, consume specimens, record process losses, and correct mistaken entries. Laboratory scripts and inventory tools may implement these actions by directly editing spreadsheet rows, relational parent identifiers, graph edges, barcode fields, or cached quantity columns. The resulting behavior depends on the storage representation: the same operation sequence can yield different available quantities, ancestry, or correction histories after a schema migration or implementation replacement, and clients can bypass mass-balance and immutability rules by writing internal records directly.","actors":["Researchers and technicians who split, combine, transfer, and consume material lots","Materials-data and laboratory-information-system maintainers","Sample custodians responsible for labels and physical inventory","Quality or provenance reviewers reconstructing specimen lineage","Developers of analysis pipelines that associate measurements with material lots"],"observable_state":"Replaying a fixed sequence of lot creation, splitting, combining, transfer, consumption, and correction produces different balances or ancestry depending on whether records are stored as spreadsheet rows, mutable database snapshots, an event log, or a graph. Clients join internal tables, infer lineage from identifier formats, overwrite quantities, or rely on row order. Duplicate requests can allocate material twice, a failed multi-lot operation can update only some records, and correcting an entry can erase the earlier history.","consequence":"A specimen can appear available after consumption, be associated with incomplete or contradictory ancestry, or receive measurements intended for another descendant. Storage migrations and implementation replacements require coordinated client repair, while reviewers cannot reliably distinguish a physical material event from a database rewrite or cache defect.","affected_objective":"Maintain auditable lot ancestry, custody, and quantity accounting across inventory-storage and lineage-engine substitutions without making database schema, identifier encoding, or update strategy part of the client contract.","intervention":"Define an opaque `MaterialLineageLedger` abstract component whose state consists of immutable lot identities, ordered material events, current accountable quantities, unit and uncertainty declarations, custody references, and explicit provenance. Public operations register a source lot, split a quantity into descendants, combine inputs into a new lot, transfer custody, consume material, record declared process loss, close a lot, attach an observation reference, and supersede an erroneous event with a correction. Preconditions and atomic postconditions forbid negative availability, over-allocation, unit-dimension mismatch, mutation of closed lots, causal cycles, partial multi-lot commits, and silent history rewriting. Duplicate operation identifiers are idempotent; losses and measurement uncertainty must be explicit rather than absorbed into balance changes. Lot handles conceal row keys, graph nodes, event offsets, cache layout, and barcode encoding. A common black-box and property-based oracle tests every ledger implementation before substitution. The contract accounts for recorded quantities and lineage but does not assert physical homogeneity, chemical identity, or exact conservation where declared loss and measurement uncertainty apply.","structural_mapping":[{"archetype_element":"Abstract component","domain_realization":"A material-lineage ledger defined by lots, events, accountable quantities, custody, ancestry, corrections, and provenance rather than by spreadsheet, relational, graph, or event-store records."},{"archetype_element":"Observable operations and state transitions","domain_realization":"Register, split, combine, transfer, consume, record loss, close, attach observation, correct, and query balance or ancestry through atomic public operations."},{"archetype_element":"Behavioral laws and invariants","domain_realization":"No negative or duplicate allocation; dimensionally compatible units; explicit loss; immutable historical events; idempotent duplicate requests; acyclic causal ancestry; atomic multi-lot changes; and quantities reconciled within declared measurement uncertainty."},{"archetype_element":"Hidden representation","domain_realization":"Table normalization, row keys, parent columns, event offsets, graph edges, snapshot caches, transaction strategy, barcode payloads, indexes, and internal identifier format."},{"archetype_element":"Error and side-effect boundary","domain_realization":"Invalid or conflicting operations return typed errors without partial ledger mutation; corrections append superseding facts instead of deleting history; physical labels and inventory remain outside automatic side effects."},{"archetype_element":"Conformance oracle","domain_realization":"One implementation-parameterized suite replays fixed and generated event sequences and checks balances, ancestry, atomicity, idempotency, errors, and immutable history through public queries."},{"archetype_element":"Substitutability rule","domain_realization":"A replacement ledger must map its valid stored state to the same abstract lot history and pass the shared oracle before a read-only migration rehearsal; production migration requires separate authorization and reconciliation."},{"archetype_element":"Contract stewardship","domain_realization":"The material-data steward governs public operations, correction semantics, and version changes, while conforming storage and indexing changes remain implementation-private."}],"mechanism_mapping":[{"mechanism_slug":"abstract_data_type_specification","role":"Specify lots, events, balances, ancestry, and correction semantics independently of storage, then define a validity predicate and abstraction mapping for each database or event-log representation.","counterfactual_removal":"Without the abstract ledger state and representation mapping, compatibility would mean matching rows or events rather than preserving accountable material history."},{"mechanism_slug":"design_by_contract_clause","role":"Assign preconditions, atomic postconditions, and typed failure behavior to split, combine, transfer, consume, loss, closure, and correction operations.","counterfactual_removal":"Without operation-level clauses, implementations could disagree about insufficient quantity, closed lots, duplicate requests, partial failure, and whether corrections rewrite history."},{"mechanism_slug":"interface_definition_language","role":"Declare opaque lot handles, quantity values, event requests, results, provenance, and error categories in a machine-readable surface used to generate client bindings.","counterfactual_removal":"Without a generated boundary, clients could reintroduce row identifiers, graph edges, or storage-specific transaction objects through hand-written integrations."},{"mechanism_slug":"opaque_type_or_module_boundary","role":"Prevent clients from reading or mutating storage keys, cached balances, parent columns, and event offsets; sanctioned queries expose only contract-level ancestry and quantities.","counterfactual_removal":"Without opacity, direct writes could bypass conservation, atomicity, idempotency, and immutable-correction rules even if public operations were well specified."},{"mechanism_slug":"black_box_contract_test_suite","role":"Replay the same lineage scenarios against every implementation and accept only public balance, ancestry, event, provenance, and error observations.","counterfactual_removal":"Without a shared suite, storage migrations would be judged through implementation-specific tests and could preserve schema shape while changing ledger behavior."},{"mechanism_slug":"property_based_conformance_test","role":"Generate and shrink valid and invalid sequences of splits, combinations, transfers, consumption, losses, closures, duplicates, and corrections while checking invariants after every operation.","counterfactual_removal":"Without generated operation sequences, interacting failures such as repeated allocation after correction or concurrent descendants exceeding a parent balance could evade selected examples."},{"mechanism_slug":"reference_implementation_differential_test","role":"Use a small independent in-memory ledger with straightforward arithmetic and immutable events as an offline behavioral reference for generated sequences.","counterfactual_removal":"Without an independent model, expected balances and ancestry might be calculated by the candidate's own storage logic, allowing its defects to define the oracle."},{"mechanism_slug":"mock_fake_or_stub_implementation","role":"Provide a lightweight conforming fake so analysis clients can exercise empty histories, conflicts, insufficient quantity, and correction paths without a production inventory connection.","counterfactual_removal":"Without a controlled fake, client tests would depend on mutable production-like records and would have difficulty exercising rare failures deterministically."},{"mechanism_slug":"representation_leakage_probe","role":"Audit identifiers, query ordering, timestamps, errors, serialized handles, pagination, and debug exports for observable table keys, graph traversal order, or event offsets.","counterfactual_removal":"Without leakage probing, clients could infer storage structure from stable-looking identifiers or ordering even while all promised ledger behavior passes."},{"mechanism_slug":"semantic_versioning_and_deprecation_gate","role":"Classify changes to operations, balance laws, correction semantics, errors, uncertainty treatment, and query guarantees separately from private schema migrations.","counterfactual_removal":"Without an evolution gate, a storage release could silently redefine lineage or accounting behavior while being presented as an internal migration."}],"causal_chain":["Clients currently manipulate or inspect spreadsheet cells, database rows, graph edges, and cached quantity fields to manage material lots.","Those representations embed accidental rules for ancestry, balance calculation, duplicate handling, corrections, and transaction boundaries.","Changing the schema or storage engine can therefore change ledger behavior or break clients even when the intended physical history is unchanged.","An abstract lot-and-event model moves material operations, conservation obligations, correction policy, errors, and observable queries onto an explicit behavioral surface.","Opaque handles and generated bindings prevent ordinary clients from bypassing those operations through storage internals.","Atomic contract clauses make each accepted event preserve balances, ancestry, idempotency, and immutable history or leave the ledger unchanged.","Property-based, black-box, and differential tests apply one oracle to independently represented ledgers over long interacting operation sequences.","Leakage review prevents database keys, event order, and pagination artifacts from becoming unofficial dependencies.","A storage implementation can then be replaced when it preserves the abstract ledger, while discrepancies involving physical labels or unrecorded material remain explicit reconciliation problems rather than being hidden by migration code."],"baseline":"The assumed baseline is a spreadsheet or mutable relational inventory whose rows contain lot identifiers, parent references, current quantities, custody fields, and status flags. Scripts read and update these fields directly, balance logic is duplicated, and corrections overwrite records or rely on free-text notes. Migration tests compare row counts and selected records rather than replaying one representation-independent ledger contract. This is an inferred comparison condition, not a claim about prevalence.","nearest_rivals":["Mandate one relational schema for all sample records. This standardizes representation but makes its tables, keys, and update model the client boundary.","Adopt event sourcing as the required storage architecture. An event log preserves history structurally but does not by itself define valid material operations, balances, idempotency, errors, or abstract query behavior.","Assign immutable barcodes or globally unique lot identifiers. Stable labels help reference lots but do not govern splitting, combination, consumption, corrections, or quantity conservation.","Append an audit table to the existing inventory. This records changes but may still allow invalid or partial writes to the authoritative balance and lineage fields.","Periodically reconcile digital quantities with physical weighing. Reconciliation can detect discrepancies but does not prevent clients from coupling to storage or define substitutable ledger behavior.","Standardize a sample-exchange export file. This aligns transferred fields while leaving the operational semantics and internal substitution rule unspecified.","Require manual approval for every split, combination, or correction. Human review may catch selected errors but does not provide an implementation-independent behavioral oracle."],"remaining_contrastive_claim":"Compared with a common database schema, barcode system, or audit log, this intervention makes valid material events and their observable ledger consequences the binding definition. Its discriminating test is whether independently structured snapshot, graph, and event-log implementations produce the same balances, ancestry, immutable corrections, idempotent outcomes, and typed failures without exposing shared storage fields.","authority_safety":{"decision_authority":"The materials-data or laboratory-information-system owner may authorize a synthetic sandbox and read-only migration rehearsal. The laboratory manager or material custodian retains authority over production inventory, physical labels, custody changes, and reconciliation; applicable safety or compliance owners retain authority for controlled materials.","authorized_first_step":"Implement two isolated ledgers using synthetic lot histories and copied non-authoritative fixtures, then run conformance and migration-replay tests without writing to production systems or changing physical labels.","excluded_actions":["Creating, relabeling, transferring, consuming, or disposing of physical material","Changing production lot balances, ancestry, custody, status, or identifiers","Deleting or rewriting incumbent provenance and correction records","Backfilling inferred events as established historical facts","Automatically reconciling unexplained discrepancies or undeclared process losses","Using sandbox balances to authorize experiments, shipments, hazardous-material handling, or regulatory reporting","Treating recorded mass balance as proof of chemical identity, homogeneity, purity, or physical quantity"],"halt_rollback":"Stop if a source record cannot be mapped without inventing ancestry or quantity, if unit or uncertainty semantics are ambiguous, if an accepted operation produces a negative or duplicated allocation, if a correction erases history, if a multi-lot operation commits partially, or if any sandbox path can write to production. Discard the sandbox state, retain the original fixtures and divergence log unchanged, and refer unresolved mappings to the material custodian."},"negative_tests":{"strongest_counterevidence":"Lineage failures may primarily originate outside the data representation—from missing physical labels, inaccurate weighing, evaporation, contamination, unrecorded transfers, or ambiguous historical entries. A behavioral ledger contract cannot reconstruct absent physical facts and could merely give internally consistent form to incorrect records.","problem_falsifier":"The proposed problem is falsified in the bounded setting if clients already use only documented material operations, no client reads or writes storage internals, and replaying the same event sequence across two independently represented ledgers yields identical balances, ancestry, corrections, provenance, and errors without adapter-specific accommodation.","intervention_falsifier":"The intervention is falsified for its initial scope if the abstract event model cannot represent the preregistered histories without database-specific fields or invented facts, or if an implementation passes the oracle while permitting over-allocation, partial commits, causal cycles, history erasure, or non-idempotent duplicate operations.","risks":["A digitally balanced ledger may be mistaken for confirmation of physical mass or chemical composition.","Strict conservation rules may reject legitimate evaporation, sampling residue, uncertainty, or process loss unless those are modeled explicitly.","Loose loss and correction operations may become loopholes that conceal unexplained discrepancies.","Uncertainty propagation across repeated splits and combinations may be under-specified.","Concurrent operations can allocate the same available material unless conflict behavior is precise.","Opaque identifiers may obstruct legitimate audit and reconciliation work if sanctioned introspection is incomplete.","A simple reference ledger can encode the same mistaken contract assumptions as the test suite.","Generated sequences may not resemble difficult legacy histories or concurrent production traffic.","Legacy records may lack enough information for a representation-independent migration.","Ordering, timestamps, and pagination can leak internal storage behavior to clients.","Access control, confidentiality, and electronic-signature requirements are separate obligations and could be obscured by a narrow conformance result.","Attaching observations to the wrong but internally valid descendant could remain possible if physical labeling is incorrect."]},"next_evidence_step":"Before implementing either candidate ledger, preregister a version-0 abstract model using synthetic quantities, units, uncertainty rules, event ordering, idempotency keys, correction semantics, and typed failures. Implement one immutable event-log ledger and one independently structured relational-snapshot ledger, plus a deliberately simple in-memory reference. Replay 25 fixed histories and 500 seeded operation sequences containing source registration, nested splits, multi-parent combinations, transfers, consumption, declared loss, closure, duplicate requests, and corrections. Inject unit mismatches, insufficient quantity, concurrent split conflicts, duplicate identifiers, causal-cycle attempts, and simulated partial-write failures. Add mutated implementations that permit negative availability, overwrite corrected events, or apply duplicate operations twice to confirm that the oracle rejects known violations. Use only synthetic or copied non-authoritative records and make no production or physical changes. This bounded step tests whether the abstraction and conformance oracle are executable and discriminating; it does not establish physical inventory accuracy or deployment benefit.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"Proposal 1 defined intrinsic identity and invariant queries for ordered periodic structures across coordinate, cell, atom-order, and file encodings. Proposal 2 defined functional evaluation of one thermophysical property release across polynomial, tabular, spline, and surrogate representations. Proposal 3 defined the lifecycle, faults, and side-effect gates of an electrochemical cycling session across instrument-driver representations. This proposal instead governs a persistent material-custody and lineage ledger across database, graph, snapshot, and event-log representations. Its causal path runs from direct storage manipulation through abstract material events, atomic accounting invariants, immutable correction history, and replayable ledger conformance. It neither determines crystal equivalence, evaluates physical-property functions, nor controls laboratory equipment, and it can be adopted independently by a laboratory inventory or provenance system.","revision_record":{"parent_version":null,"progress_targets_addressed":["Materially different problem from proposals 1, 2, and 3","Distinct persistent-ledger intervention and accounting causal path","Independent adoption boundary","Complete actors, state, consequences, mechanisms, rivals, authority, safeguards, falsifiers, risks, and bounded evidence"],"conceptual_changes":["Initial version; defines material lineage through abstract lot events and observable accounting behavior rather than database representation.","Separates digital ledger consistency from physical mass, chemical identity, homogeneity, and custody truth."],"operational_changes":["Initial version; confines first evidence to synthetic or copied non-authoritative histories, three isolated implementations, generated sequences, fault injection, and mutation controls."],"evidence_changes":["Initial version; prior art remains unsearched and no novelty, prevalence, demand, or effect-size claim is made."],"claim_changes":["Initial version; limits the contrastive claim to representation-independent lineage and quantity-accounting behavior."]}}