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Purdy0228/
ConvMemory-OPC-V3-Validity-Context

Name: ConvMemory-OPC-V3-Validity-Context
Availability: InStock

sentence-transformers

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ConvMemory OPC-v3 Validity Context

This is the OPC-oriented ConvMemory v3 validity context checkpoint. It is not a standalone Chinese retriever and it is not the OPC student reranker. It scores query/source/target triples to decide whether a target memory should be surfaced as possibly outdated for the current query.

USER_QUERY + SOURCE_EVIDENCE -> TARGET_MEMORY

Usage

python

from convmemory import ValidityEvidenceModule

module = ValidityEvidenceModule.from_pretrained(
    "Purdy0228/ConvMemory-OPC-V3-Validity-Context",
    device="cuda",  # or "cpu"
)

scores = module.score_evidence_pairs([
    {
        "query": "What is the current pricing plan?",
        "source": {"text": "Later update: pricing changed from 99/299 to 129/399."},
        "target": {"text": "Earlier note: pricing was 99/299."},
    }
])

Package Integration

Use convmemory>=0.6.2 when attaching this checkpoint to ConvMemory. Pass preselected later updates through validity_source_map to keep one validity scorer call per protected target. Without a map, the package uses a bounded Chinese-aware top-1 lexical fallback.

Selected Recipe

Source experiment: v632_opcos_v3_posrepeat8_checkpoint
Selection report: v634_opcos_v3_final_selection
Base model: BAAI/bge-reranker-v2-m3
Module format: convmemory_validity_evidence
Threshold: 0.05
Source policy: top-1 later update evidence

Evaluation Snapshot

Evaluation	Pair accuracy	Demote recall	Protect recall	Scenario all-correct
synthetic base/hard/natural	100.00%	100.00%	100.00%	100.00%
handwritten OPC smoke	98.96%	100.00%	98.81%	91.67%

The handwritten smoke set has 12 update scenarios and 96 query/source/target pairs. One known remaining edge is a change-query false demotion: when the user asks for the change history itself, the old memory should remain visible.

Recommended Use

Use after ordinary retrieval/reranking:

text

dense / ConvMemory / teacher retrieval
-> pick one later update source per candidate
-> OPC-v3 validity context
-> context annotation by default
-> demote only for explicit current-state queries

For ordinary semantic retrieval over scattered notes, use a strong Chinese embedding model or the OPC student reranker. This checkpoint is for validity and update handling.

Boundary

This checkpoint does not claim generic Chinese semantic retrieval, a mature OPC-v2 selector, full automatic dependency graph construction, or universal automatic demotion for every query type.

See the GitHub documentation for the package API and safety contracts: https://github.com/pth2002/ConvMemory