emem_memory_contradictions

shallow

io.github.Vortx-AI/emem · Verify this server

Surface where the corpus DISAGREES with itself (algebra: competing evidence). When two or more independent sources signed different values for the same place + band + time, this returns that disagreement with a 0–1 severity score and citations to every disputed fact, instead of silently picking one value and hiding the conflict. The opposite of a confident single answer: it tells you when not to trust one. Read the SCOPE before quoting a zero: by default this asks only whether two DISTINCT attesters disagree, so one responder answering an address from two different upstreams is not counted until you pass `include_same_attester_sources: true`. When to use: Call this when trust matters before you rely on a number, 'is there disagreement about X', 'do the sources corroborate this', 'audit this claim', or 'find contradictory observations in region Y'. Use it to decide whether a fact is well-corroborated or contested. Narrow with `cell_prefix` (e.g. "defi.zb5") for a region and `band` for one family; `min_severity` filters out trivial differences. Severity is per band kind: scalar = spread over the band's range, vector = 1 − mean cosine, categorical = 1 − mode share. On a single-responder deployment add `include_same_attester_sources: true`: the likeliest real disagreement there is one signer answering from two different providers, and the default scope cannot report it. Each record names its `disagreement_scope` — `multi_attester` is two witnesses, `same_attester_provider_substitution` is one witness that changed instruments. The receipt cites every disputed CID, follow up with `emem_diff` to quantify a pair, or (with the refinement loop on) read the emitted `disagrees_with` edge via `emem_edges_recall`. Example arguments: {"cell_prefix":"damO","band":"indices.ndvi","min_severity":0.2}

100.0/100

1 trials · measured 8 days ago

emem_memory_contradictions scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Vortx-AI/emem, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: emem_memory_contradictions
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emem_memory_contradictions — Vouch