Detect when two or more sources make mutually incompatible claims about the same entity, number, event, date, or outcome.
Do not smooth over direct contradiction just to produce a cleaner answer.Contradiction is not noise. It is intelligence waiting to be mapped.
A read-only conflict detection readiness layer that defines how TheoB will preserve disagreement, score uncertainty, and map conflicting claims before Vault ingestion or capsule compression.
Every TheoB pathway can move through Past, Present, and Future without losing context.
Read current signals, conditions, and live context.
Voice ready
Don’t bury the contradiction. Map it.
Discovery Conflict Detection Readiness prepares TheoB to detect direct claim conflicts, timeline conflicts, measurement conflicts, definition conflicts, methodology conflicts, multimodal conflicts, and cultural-contextual conflicts without pretending uncertainty is failure.
Conflict detection readiness is active as a non-destructive policy layer. TheoB can define conflict types, severity bands, and future conflict maps, but it cannot compare live provider results, declare final truth, write Vault records, or compress capsules yet.
Detect conflicting publication dates, event dates, timelines, sequence claims, or version histories.
Timeline conflicts need source dates, retrieval dates, and update history.Detect conflicting measurements, percentages, counts, prices, rankings, scientific values, or dataset-derived statistics.
Units, methodology, region, and reporting period must travel with the number.Detect when sources define the same entity, category, process, or term differently.
Different definitions may reflect context, not error.Detect when lower-authority sources contradict higher-authority or primary sources.
Authority can guide review, but cannot automatically silence minority evidence.Detect when sources reach different conclusions because of different methods, samples, instruments, models, or assumptions.
Method conflict requires careful explanation, not winner-take-all scoring.Detect when text claims conflict with images, diagrams, maps, CAD, schematics, datasets, or visual evidence.
Visual evidence must preserve uncertainty zones and interpretation boundaries.Detect when cultural, ceremonial, historical, indigenous, scientific, or commercial perspectives frame the same topic differently.
Do not flatten plural perspectives into one false certainty.No meaningful conflict detected among compared sources.
Proceed with normal source scoring and citation trail.Small wording, timing, rounding, or framing differences exist but do not change the core claim.
Mention nuance only when relevant.Sources disagree on meaningful details that may affect interpretation.
Surface disagreement and require evidence weighting.Sources make incompatible claims that cannot both be true under the same context.
Show conflict map and avoid final certainty.Conflict affects safety, legality, financial impact, medical/health claims, production decisions, or founder-authorized operations.
Require human review before action or Vault ingestion.TheoB must retain disagreement instead of hiding it behind a single averaged answer.
Truth pursuit includes uncertainty.A conflict can reveal useful nuance, changing evidence, regional context, or different methodologies.
Do not treat every disagreement as bad data.Conflict should be detected at the claim level, not only at the source or domain level.
One source can be accurate on one claim and weak on another.Primary-source and high-authority evidence should influence conflict review more than copied summaries.
Authority guides review but does not erase visible dissent.Copied repetition must be clustered before conflict is measured.
Do not count syndicated duplicates as independent agreement.This layer defines readiness only and does not compare live provider results.
No provider queries, Vault writes, or automatic conclusions.Conflict detection can identify disagreement but cannot declare final truth by itself.
Conflict maps inform review; they do not replace judgment.High-impact conflicts require human review before action, Vault ingestion, or capsule compression.
Do not automate high-stakes decisions from unresolved evidence.Text, images, diagrams, maps, schematics, CAD, and datasets need specialized cross-modal conflict logic.
Visual contradiction cannot be handled with text-only rules.Future Intelligence Capsules must retain conflict status, uncertainty, and source trails.
Compression must reduce size, not truth.