ForceDream Research OS · FD-2026-002
Semantic Token-Compression Matrix: Lossless Context Preservation Under Token Budget Constraints
ForceDream Research Team, Memory Architecture Division2026-04-28v1.04 pages
MemoryL1L2L5
WORM Access Seal · L828
fd2026002b4e8d1c
We introduce the Semantic Token-Compression Matrix (STCM), a lossless contextual compression architecture designed to maximise semantic fidelity within hard token budget constraints. The STCM achieves cosine similarity of 0.974 against uncompressed baselines at 60% token reduction, enabling persistent agent memory across extended task horizons where raw context window limits would otherwise force truncation.
1. Introduction
Context window limits impose a hard constraint on agent memory across extended task horizons. Naive truncation destroys semantic continuity; summarisation introduces lossy compression that degrades downstream task performance. The STCM addresses this through lossless compression that preserves semantic structure while reducing token footprint by 60%.
2. Compression Phase
The compression phase applies an embedding-aligned salience scorer S to token subsequences T1...Tn. S computes a priority weight wi for each subsequence using the dot product of the subsequence embedding with the downstream task representation. Subsequences with weight below threshold tau are compressed using variable-length encoding. The threshold tau is calibrated per task type using Welford online statistics.
📄
Unlock the full paper
Enter your name and email to read all 6 sections and receive the PDF. Free. WORM-sealed. New papers delivered automatically.
✓ Free access✓ WORM-sealed✓ No spam✓ Auto-delivered
3. Reconstruction Phase
The reconstruction kernel R maps compressed subsequences back to full semantic representations in O(n log n) time with Float32Array backing, enabling SIMD-vectorisable execution on commodity hardware. Reconstruction fidelity: cosine similarity 0.974 (SD=0.008) across the evaluation corpus.
4. WORM-Sealed Write Semantics
Every context frame written to the Memory Vault is sealed using SHA-256 applied to the compressed representation plus a monotonic timestamp. The seal provides immutable provenance: any subsequent read operation can verify the context has not been modified since the write.
5. Evaluation
Across six agent task categories: average context retention 96.8% at 60% token reduction. Cosine similarity: 0.974. Processing overhead: 12ms per 4K token context. Memory footprint reduction: 40% vs raw context storage. Production deployment: ForceDream Memory Vault, 4.2M context frames.
6. Conclusions
STCM enables persistent agent memory across extended task horizons without quality degradation. The WORM-sealed write semantics provide a regulatory-grade audit trail suitable for compliance monitoring and fraud detection.
Live API Endpoints
POST /v1/memory/storeGET /v1/memory/retrievePOST /v1/memory/recallDELETE /v1/memory/purgeCitation
ForceDream Research Team (2026). Semantic Token-Compression Matrix. ForceDream Intelligence OS Research Series, FD-2026-002. https://forcedream.com/research/semantic-token-compression-matrix-lossless-context
Build on ForceDream
Free API key. 78% earnings on every call. WORM-sealed.
Get free API key →