Tune topics.yaml to AI/agentic + quantum research domains

23 topics across agents/agentic design, LLMs/fine-tuning, distributed AI, and
quantum computing/hardware/networking. Raise session cap to 250 for full
harvests. Two passes built a 383-paper / ~1GB open-access vault.

Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>

config.yaml

@@ -20,7 +20,7 @@ rate_limit:
   jitter_seconds: 0.5
   backoff_base_seconds: 5.0     # initial backoff on 429/503
   backoff_ceiling_seconds: 120.0
-  max_downloads_per_session: 50
+  max_downloads_per_session: 250
   max_consecutive_errors: 3
 
 logging:

topics.yaml

@@ -1,30 +1,67 @@
-# Topic queue. Each topic becomes an OpenAlex search; full text is fetched only
+# RedClaw research domains — AI/agentic systems + quantum.
-# from legally available open-access locations (or sanctioned TDM, if configured).
+# Full text is fetched only from legally available open-access locations
+# (or sanctioned TDM, if a librarian-issued token is configured).
 
 defaults:
-  max_results: 40
+  max_results: 30
   filters:
     open_access_only: true
+    language: en
+    date_from: 2021
 
 topics:
-  - query: "Rust systems programming memory safety"
+  # ---- Agents & agentic design -------------------------------------------
-    max_results: 25
+  - query: "LLM agents tool use reasoning planning"
     priority: 1
-    filters:
+  - query: "autonomous AI agents orchestration multi-step tasks"
-      date_from: 2020
+    priority: 1
-      language: en
+  - query: "agentic design patterns workflows large language models"
-
+    priority: 1
-  - query: "HDF5 scientific data management high performance"
+  - query: "multi-agent collaboration large language models"
-    max_results: 20
+    priority: 1
+  - query: "agentic reasoning self-reflection chain of thought"
+    priority: 2
+  - query: "ReAct tool-augmented language model agents"
     priority: 2
 
-  - query: "protein structure prediction machine learning"
+  # ---- LLMs, training & fine-tuning --------------------------------------
-    max_results: 25
+  - query: "large language models pretraining scaling laws"
+    priority: 2
+  - query: "parameter efficient fine-tuning LoRA adapters"
+    priority: 2
+  - query: "reinforcement learning from human feedback RLHF alignment"
+    priority: 3
+  - query: "retrieval augmented generation knowledge LLM"
+    priority: 3
+  - query: "LLM inference optimization quantization serving"
+    priority: 3
+  - query: "instruction tuning preference optimization DPO"
     priority: 3
-    filters:
-      date_from: 2021
 
-  - query: "distributed agent orchestration LLM inference"
+  # ---- Distributed AI systems --------------------------------------------
-    max_results: 20
+  - query: "distributed training large language models model parallelism"
     priority: 4
-    enabled: false  # paused
+  - query: "distributed machine learning systems scheduling"
+    priority: 4
+  - query: "mixture of experts sparse large models"
+    priority: 4
+
+  # ---- Quantum computing & algorithms ------------------------------------
+  - query: "quantum computing algorithms speedup"
+    priority: 5
+  - query: "variational quantum algorithms NISQ"
+    priority: 5
+  - query: "quantum error correction surface codes"
+    priority: 5
+  - query: "quantum machine learning variational circuits"
+    priority: 6
+
+  # ---- Quantum hardware, chip design & systems ---------------------------
+  - query: "superconducting qubit processor chip design"
+    priority: 6
+  - query: "quantum processor architecture control systems"
+    priority: 6
+  - query: "quantum networking entanglement distribution repeaters"
+    priority: 7
+  - query: "quantum interconnects distributed quantum computing"
+    priority: 7