Commit Graph

10 Commits

Author SHA1 Message Date
dcb33e27bf Add hypnosis literature to related work
Pavlov (1927) on suggestion as conditioned reflex,
"Hypnosis and the Conditioned Reflex" (1930),
Raz et al. (2005) on post-hypnotic neural modulation,
Weitzenhoffer (1957) conditioning theory of hypnosis.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:49:45 +07:00
2e61c2353a Explain penultimate layer choice for trigger extraction
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:46:32 +07:00
eeada7810a Correct post-bias degeneration attribution
Cannot isolate instruct tuning vs architecture (sliding window,
KV sharing, logit softcapping) with current test matrix.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:44:42 +07:00
0448e96bc9 Remove cringe closing line
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:35:04 +07:00
941af3a585 Add LaTeX + PDF, fix section cross-reference
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:31:32 +07:00
258a03388c Tighten paper, clean README, add .gitignore
Cut ~40% paper text — tables speak for themselves.
Remove duplicate episodic memory framing from README.
Add serve.py to quick start.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:27:46 +07:00
7271339006 Update all URLs and paths from epimem to cri
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:24:26 +07:00
7838bc4ed1 Add minimal FastAPI CRI server (teach/trigger/save/load)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:14:50 +07:00
3c77498dd4 Reframe as Conditioned Reflex Injection (CRI) with multi-model test results
- Rename from "Episodic Memory" to "Conditioned Reflex Injection" throughout
- Make code model-agnostic: --model flag for any HuggingFace backbone
- Support multimodal models (Gemma 4) via .model.language_model resolution
- Add negative stimulus-specificity tests and abstract query tests
- Paper now backed by measured data from 4 backbones:
  Qwen 2.5 0.5B, Gemma 4 E2B-it, E4B-it, E4B base
- Quantization tolerance tested at f32/f16/bf16/int8/int4
- Key findings: smaller base models outperform larger instruct models,
  instruct tuning compresses activation space (hurts discrimination),
  int4 viable if same-precision conditioning/triggering
- Add privacy-by-representation section
- Add Pavlov/Skinner references for conditioning framing

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:03:32 +07:00
176164815b Solving the Clive Wearing Problem: One-Shot Episodic Memory for Frozen Transformers
Tommi Niemi / Rotko Networks

Hidden-state episodic memory for frozen transformers. No gradients.
Teach via one forward pass, recall via cosine similarity + logit injection.
200-line Python reproduction included.

pip install transformers torch numpy && python python/epimem.py
2026-04-05 02:16:29 +07:00