Commit Graph

11 Commits

Author SHA1 Message Date
2a4e0c9713 Format limitations as bullet list in PDF
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 19:50:56 +07:00
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