{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"representation_independent_interface_contract__nanotechnology","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_id":"nanospecimen_derivation_ledger_contract","proposal_index":3,"version":0,"title":"Representation-Independent Derivation Ledger for Nanomaterial Specimens","problem":"A nanomaterial workflow can identify synthesized batches, washed fractions, functionalized derivatives, redispersed samples, and characterization aliquots through database rows, spreadsheet positions, graph nodes, or event-log records. Analysis and custody clients may read those representations directly or assume accidental behavior such as numeric identifier order, one-parent-only lineage, mutable status fields, or backend-specific treatment of splits and combinations. After a storage migration or lineage-engine replacement, the same recorded workflow can therefore produce different ancestry answers, permit previously invalid derivations, or disconnect an observation from the specimen history it was intended to describe. The laboratory then lacks a behavioral rule for determining whether the replacement preserves specimen identity and derivation meaning.","actors":["Nanomaterial synthesis researchers creating and transforming specimens","Metrology personnel receiving aliquots and attaching observations","Laboratory custodians transferring, quarantining, or retiring specimens","Data engineers maintaining specimen and lineage systems","Analysis developers querying ancestry and grouping related measurements","Quality, safety, or research-integrity reviewers examining provenance"],"observable_state":"For the same sequence of source registration, splitting, combining, transformation, custody transfer, quarantine, and observation-linking operations, two lineage backends can return different ancestor sets, accept different invalid transitions, or expose different current specimen states. A client may also fail after migration because it relies on database keys, table joins, event offsets, traversal order, or mutable backend fields rather than declared lineage behavior.","consequence":"A representation change can alter which physical specimen an observation or transformation is attributed to, obscure derivation history, or admit contradictory custody states without an explicit contract change. Storage replacement and optimization consequently become entangled with the scientific and administrative meaning of specimen identity.","affected_objective":"Preserve auditable nanomaterial specimen identity, derivation, and custody semantics while allowing relational, graph, event-sourced, or other lineage-store implementations to be replaced independently.","intervention":"Define an opaque NanoSpecimenLineage component whose abstract value is an append-only, acyclic derivation history containing stable specimen identities, typed derivation events, declared quantity statements, custody states, and immutable links to observations. Public operations register an external source, split a specimen into named children, combine declared parents into a child, record a transformation, transfer custody, quarantine or release under an authorization token, retire a specimen, link an observation, and query ancestry or current abstract state. Each operation has explicit preconditions, postconditions, typed errors, and unchanged-state behavior on rejection. Invariants prohibit ancestry cycles, reuse of a specimen identity, rewriting an accepted derivation event, simultaneous incompatible custody states, derivation from a retired specimen, and claims of quantity conservation unless the event declares a conserved basis and permitted loss or uncertainty. Query results are defined as sets or explicitly ordered sequences so storage traversal order cannot become an accidental promise. SQL tables, graph adjacency structures, event offsets, caches, indexes, and physical row identifiers remain hidden. A simple independent model and one reusable black-box/property-based suite determine whether each backend preserves the same lineage laws before it is accepted as substitutable.","structural_mapping":[{"archetype_element":"Abstract behavioral surface","domain_realization":"NanoSpecimenLineage exposes source registration, derivation, custody, observation-linking, and semantic queries rather than tables, rows, graph nodes, or event offsets."},{"archetype_element":"Abstract state model","domain_realization":"The abstract value is an append-only acyclic history of stable specimen identities connected by typed split, combine, and transformation events, with current custody status and immutable observation links."},{"archetype_element":"Representation invariant","domain_realization":"Specimen identities are unique; ancestry is acyclic; accepted events are immutable; each active specimen has one compatible custody state; retired specimens cannot generate new derivations; and quantitative balance is asserted only under an explicitly declared basis, uncertainty, and loss policy."},{"archetype_element":"Abstraction function","domain_realization":"Relational rows, graph structures, or event streams map to the same abstract specimens, derivation relations, event facts, custody states, and observation associations regardless of keys, layout, or traversal strategy."},{"archetype_element":"Behavioral laws and operation sequences","domain_realization":"Ancestry is transitive and cycle-free; linking the same observation under an idempotency key does not duplicate the link; rejected operations leave history unchanged; append-only events remain queryable after later transitions; and ancestry results are independent of backend traversal order."},{"archetype_element":"Error and edge-case policy","domain_realization":"Unknown specimens, duplicate identities, cyclic derivations, incompatible custody transitions, unauthorized release, derivation from retirement, repeated idempotency keys with conflicting content, and unsupported quantity claims produce distinct typed errors."},{"archetype_element":"Side-effect limits","domain_realization":"Accepted commands may append contract-defined lineage facts but may not relabel physical containers, move specimens, alter instrument data, rewrite earlier events, or make undeclared safety classifications."},{"archetype_element":"Hidden representation","domain_realization":"Database schemas, row identifiers, join tables, graph adjacency, event sequence numbers, indexes, caches, and serialization layout are private implementation choices."},{"archetype_element":"Conformance oracle","domain_realization":"A parameterized black-box suite compares every backend with contract-derived examples, an independent in-memory model, and generated derivation sequences without accessing storage internals."},{"archetype_element":"Substitutability rule","domain_realization":"A lineage backend is eligible to replace another only if it passes the complete suite for the same contract version and preserves exported abstract identities and events through a representation-neutral migration check."},{"archetype_element":"Version and leakage governance","domain_realization":"Changes to event meaning, allowed transitions, query semantics, errors, or identity rules require compatibility review, while identifiers, ordering, timestamps, error text, and pagination tokens are audited for accidental representation leakage."}],"mechanism_mapping":[{"mechanism_slug":"abstract_data_type_specification","role":"Defines the lineage value and operations independently of storage, then maps each valid relational, graph, or event-sourced state to that value through an invariant and abstraction function.","counterfactual_removal":"The proposal would describe recordkeeping operations without establishing whether different storage states denote the same specimen history."},{"mechanism_slug":"opaque_type_or_module_boundary","role":"Makes backend keys, tables, nodes, offsets, indexes, and caches unreachable, requiring clients to use stable specimen handles and declared operations.","counterfactual_removal":"Clients could retain direct database or graph dependencies, so storage substitution would remain unsafe despite a documented behavioral model."},{"mechanism_slug":"design_by_contract_clause","role":"Specifies obligations, postconditions, errors, and unchanged-state guarantees for split, combine, transform, custody, quarantine, retirement, and observation-linking operations.","counterfactual_removal":"Backends could share operation names while disagreeing on cycles, duplicate identities, authorization failures, retirement, or event mutation."},{"mechanism_slug":"interface_definition_language","role":"Publishes machine-readable operation shapes, opaque identifiers, typed event variants, query results, and error types without publishing the storage schema.","counterfactual_removal":"Handwritten bindings could leak backend fields or disagree on event and error shapes, although semantic conformance would still require separate enforcement."},{"mechanism_slug":"black_box_contract_test_suite","role":"Supplies one representation-neutral acceptance battery for lineage mutations, queries, errors, and migration round-trips across all implementations.","counterfactual_removal":"Maintainers would lack a reusable operational gate for deciding whether a replacement preserves lineage behavior."},{"mechanism_slug":"property_based_conformance_test","role":"Generates branching derivations, combinations, custody transitions, duplicate requests, and invalid cycles to test laws and invariants across long operation sequences.","counterfactual_removal":"Example fixtures could miss sequence-dependent contradictions and uncommon graph shapes."},{"mechanism_slug":"reference_implementation_differential_test","role":"Uses a deliberately simple in-memory immutable graph as an independent semantic model and compares only contract-level results with candidate backends.","counterfactual_removal":"Exact ancestry and transition disagreements across generated histories would require more hand-authored expected results and could leave under-specified cases unnoticed."},{"mechanism_slug":"representation_leakage_probe","role":"Examines returned identifiers, ordering, pagination, timestamps, diagnostics, and exports for database keys or traversal artifacts clients could adopt.","counterfactual_removal":"An opaque API could still reveal stable storage details through its outputs and recreate an unofficial schema contract."},{"mechanism_slug":"semantic_versioning_and_deprecation_gate","role":"Classifies changes to identity, event, transition, query, and error semantics and stages incompatible changes through explicit versions.","counterfactual_removal":"A backend or schema release could silently redefine accepted lineage behavior while retaining the same nominal interface."}],"causal_chain":["Lineage clients read storage-specific identifiers, layouts, traversal order, or mutable fields because specimen derivation is not fully defined as abstract behavior.","Those representation details become implicit rules for associating transformations, custody events, and observations with specimens.","A database migration or lineage-engine replacement then changes queries, permits different transitions, or breaks clients even when the recorded scientific workflow is intended to remain unchanged.","The intervention defines specimen lineage as an opaque append-only acyclic value with explicit operations, invariants, errors, and side-effect limits.","The abstraction function separates lineage meaning from relational, graph, or event-stream representation, while opacity prevents new direct storage dependencies.","A simple independent model plus shared black-box and generated-sequence tests evaluates every backend against the same ancestry and state-transition laws.","Leakage audits and version rules prevent storage artifacts or changed semantics from becoming silent promises.","Storage implementations can then be evaluated for behavioral substitution without redefining specimen identity or derivation history."],"baseline":"The bounded baseline is a representation-specific specimen registry in which clients join tables, traverse backend graphs, parse event positions, or update status fields directly. Migration checks compare selected records or row counts, while correctness of ancestry, invalid transitions, immutability, and custody semantics depends on backend-specific tests and maintainer review.","nearest_rivals":["Mandate one canonical lineage database schema. This can align storage initially but freezes tables and keys rather than defining representation-independent behavior.","Export and import a common provenance file during migrations. A transfer format moves records but does not by itself specify legal operation sequences, invariants, errors, or query semantics.","Use an append-only event store without an abstract contract. Append-only storage protects history from some mutations but does not define specimen identity, permissible derivations, custody transitions, or equivalence across projections.","Give every specimen one parent field. This simplifies a subset of ancestry but cannot represent combinations without ad hoc conventions and still exposes a storage choice as the model.","Retain manual labels and spreadsheets as the authoritative record. This avoids backend engineering but does not provide a reusable conformance oracle or governed substitution boundary."],"remaining_contrastive_claim":"The proposal's limited, testable claim is that a specimen-lineage store can be judged independently of its database representation when identity, derivation, custody, immutability, errors, and queries form the binding contract and every implementation is evaluated through the same behavioral oracle. It does not assert that conformance establishes the truth of the entered laboratory facts.","authority_safety":{"decision_authority":"A laboratory data steward may define and test a draft lineage contract using synthetic records in an isolated environment. Existing specimen custodians, safety personnel, quality authorities, and research owners retain authority over physical labels, custody, classifications, corrections, and production-record migration.","authorized_first_step":"Build an offline model and conformance harness using synthetic specimen histories; do not connect it to production registries, instruments, inventory systems, or physical-label workflows.","excluded_actions":["Creating, changing, or retiring production specimen identities","Relabeling, moving, releasing, quarantining, disposing of, or combining physical specimens","Migrating or deleting authoritative lineage records","Changing safety, hazard, custody, retention, or research-integrity policies","Treating a conforming ledger as proof that entered derivations, quantities, or observation links are factually correct","Weakening append-only or authorization invariants to reproduce malformed legacy data"],"halt_rollback":"Halt if the abstract model cannot retain a policy-required distinction, if a prototype identifier could be confused with an authoritative specimen label, if production credentials or data become reachable, or if migration requires silent repair of contradictory history. Roll back by disabling the prototype, preserving all authoritative systems unchanged, and submitting the unresolved distinction or contradiction to the relevant data and specimen authorities."},"negative_tests":{"strongest_counterevidence":"A client and storage audit shows that the existing lineage service already exposes only opaque identities and contract-defined derivation operations, enforces the stated invariants, versions semantic changes, and runs one representation-neutral suite against independent storage implementations. That would show the proposed missing contract is not the operative problem.","problem_falsifier":"Across a bounded synthetic migration and client inventory, changing relational, graph, and event-stream representations causes no client breakage or unexplained difference in ancestry, custody, observation links, errors, or permitted transitions; observed provenance failures instead arise solely from incorrect data entry or physical labeling outside the component.","intervention_falsifier":"Independent backends cannot represent required specimen histories without public storage-specific exceptions, or they all pass the proposed oracle while a held-out history yields a contract-relevant ancestry or custody disagreement. Either outcome falsifies the adequacy of the abstraction or conformance gate.","risks":["A compact lineage model could omit policy-relevant distinctions among aliquots, composites, transformations, custody, and physical containers.","Quantity-conservation rules could imply false precision or inappropriate physical assumptions unless basis, uncertainty, and permitted loss are explicit.","A simple reference implementation could encode the same mistaken semantics as the contract and candidate tests.","Generated histories may underexercise large combinations, concurrent requests, partial failures, or conflicting idempotency keys.","Opaque identifiers may hinder reconciliation with physical labels unless sanctioned mappings are explicit and governed.","A representation-neutral export could become a new leaked storage format if clients treat incidental field order or identifiers as promises.","Conformance may be mistaken for factual validation of human-entered provenance or for authorization of physical specimen handling." ]},"next_evidence_step":"Write the abstract state, transition table, identity rules, query semantics, quantity-claim policy, and typed errors before implementing a backend. Build a small immutable in-memory reference and two candidate toy stores with deliberately different representations, such as normalized relational tables and an append-only event projection. Run a bounded synthetic corpus containing single-source transformations, multiway splits, combinations, repeated observation links, custody transfers, quarantine and authorized release, retirement, duplicate requests, attempted cycles, conflicting idempotency keys, and declared process loss. Add generated histories, representation-neutral export-and-reload checks, and leakage probes for row-like identifiers, traversal order, timestamps, pagination, and diagnostics. Classify every divergence as an implementation defect, oracle defect, or under-specified clause. End without production connectivity; a need for public backend-specific exceptions is evidence against adoption.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"Proposal 1 concerned the computational meaning of static nanoscale pattern geometry and substituted polygon, voxel, or implicit-field geometry engines through an immutable spatial-value contract. This proposal instead governs specimen identity, derivation, custody, and observation association across mutable lineage histories; it neither represents target geometry nor changes a design backend. Proposal 2 concerned stateful physical scanning-probe motion, command completion, faults, and bounded actuator side effects. This proposal performs no instrument control and limits its side effects to appending abstract provenance facts. Its causal path runs from storage-schema dependencies through divergent ancestry and custody meaning to unsafe lineage-store migration, and its intervention is an append-only derivation-ledger abstract data type. It is independently adoptable within a specimen registry or laboratory information system without adopting either the NanoPatternRegion contract or the ProbeManipulationSession contract.","revision_record":{"parent_version":null,"progress_targets_addressed":["Third complete proposal","Materially distinct lineage problem","Independent append-only ledger intervention","Representation-independent causal fidelity","Authority and falsification boundaries","Explicit diversity from proposals 1 and 2"],"conceptual_changes":["Initial version defines nanomaterial specimen lineage as an opaque append-only acyclic value rather than a database schema."],"operational_changes":["Initial evidence is limited to synthetic histories and disconnected toy storage implementations."],"evidence_changes":["Prior art remains unsearched; no external evidence, prevalence statement, or effect estimate is introduced."],"claim_changes":["The claim concerns behavioral preservation across lineage representations and excludes factual validation of recorded laboratory events."]}}