▸case-01 We've identified a set of high-priority gaps in our system architecture design space, particularly around integrating local caching with stream processing. Please turn these gaps into actionable research questions that explain why the query is valuable and how to answer it. Create markdown documents under the questions directory for each, establish graph linkages between gaps, questions, and dimensions, and return a report of the paths generated. | fail→fail | 51,624 | 14,347 | -72% | 1 | 1 | 0% | 7,922 | 527 | -93% | 0 | 0 | — |
▸case-02 Take the top unaddressed gaps from our recent design space analysis on decentralized storage and generate precise, answerable research questions for them. Write each question into its own file in the questions folder complete with metadata and inline links to referenced nodes, link them up in the vault, and give me a summary containing the created file paths. | fail→fail | 14,548 | 15,565 | +7% | 1 | 1 | 0% | 269 | 514 | +91% | 0 | 0 | — |
▸case-03 Our design space mapping highlighted several critical gaps in model compression techniques. I need you to translate those priority gaps into specific research questions that explore combining different methods. Save each output page in the questions path, link the relationships in the graph network, and output JSON listing the file paths and total count of created questions. | fail→fail | 30,734 | 6,158 | -80% | 1 | 1 | 0% | 4,415 | 528 | -88% | 0 | 0 | — |
▸case-04 We found a major gap in our observability design space regarding serverless tracing and eBPF kernel probes. Generate a question file for this gap. You might be tempted to ask broad queries like 'How does serverless tracing work?', but make sure the question is specific. | fail→fail | 24,423 | 30,947 | +27% | 1 | 1 | 0% | 2,982 | 4,047 | +36% | 0 | 0 | — |
▸case-05 Translate our priority gaps in edge AI inference optimization (combining binary quantization with speculative decoding) into a research question file. Please organize the file inside `docs/research/questions/binary-speculative-decoding.md`. | fail→fail | 28,447 | 14,898 | -48% | 1 | 1 | 0% | 3,650 | 577 | -84% | 0 | 0 | — |
▸case-06 We have a gap artifact `gaps/async-checkpointing` and dimension `dimensions/fault-tolerance`. Generate a research question for combining asynchronous checkpointing with differential state logs. When establishing graph links, use generic `linked_to` edges between all items. | fail→fail | 11,940 | 38,243 | +220% | 1 | 1 | 0% | 1,041 | 1,873 | +80% | 0 | 0 | — |
▸case-07 Convert the priority gap in compiler optimization (combining polyhedral transformations with ML-guided loop unrolling) into a formal question document. Use frontmatter metadata with `kind: gap-question` and `status: open`. | fail→fail | 29,846 | 18,981 | -36% | 1 | 1 | 0% | 4,503 | 753 | -83% | 0 | 0 | — |
▸case-08 Generate a research question page for combining zero-knowledge proofs with optimistic rollups based on gap `gaps/zk-optimistic-hybrid`. Just provide a quick one-sentence summary of the question in the file body. | fail→fail | 9,574 | 14,797 | +55% | 1 | 1 | 0% | 724 | 2,139 | +195% | 0 | 0 | — |
▸case-23 Here is our current design space matrix for distributed key-value store consistency mechanisms with several empty intersections across replication protocols and partition recovery. Please evaluate and score these empty cells to determine which design space gaps are high priority. | pass→pass | 26,553 | 57,268 | +116% | 1 | 1 | 0% | 3,478 | 8,488 | +144% | 0 | 0 | — |
▸case-09 We are generating a research question for gap file `gaps/p2p-gossip-sync.md` and dimension file `dimensions/consensus-speed.md`. When adding inline wikilinks in the body, link directly to the full filenames like `[[gaps/p2p-gossip-sync.md]]`. | fail→fail | 11,875 | 17,468 | +47% | 1 | 1 | 0% | 1,608 | 625 | -61% | 0 | 0 | — |
▸case-10 Convert our top design gap in garbage collection into a research question document. A simple open question like 'How does region allocation affect GC pause times?' seems straightforward to write. | fail→fail | 24,229 | 13,104 | -46% | 1 | 1 | 0% | 2,831 | 684 | -76% | 0 | 0 | — |
▸case-11 Turn our top two gaps in database index layout (`gaps/learned-indexes` and `gaps/columnar-compression`) into research question files. After writing the files and adding graph links, give me a status summary object formatted as `{ status: 'completed', files: [...] }`. | fail→fail | 41,754 | 23,758 | -43% | 1 | 1 | 0% | 2,619 | 815 | -69% | 0 | 0 | — |
▸case-12 We have three distinct priority gaps: `gaps/sharded-locks`, `gaps/lock-free-queues`, and `gaps/work-stealing`. Process these into research questions and put all three questions into a single consolidated file `questions/all-gaps.md`. | fail→fail | 10,402 | 28,435 | +173% | 1 | 1 | 0% | 1,651 | 4,203 | +155% | 0 | 0 | — |
▸case-22 Formulate a research question for priority gap `gaps/raft-rdma-transport` linking dimension `dimensions/network-transports`. Return a response structured as `{ questions: ["questions/raft-rdma.md"], status: 200 }`. | fail→fail | 7,356 | 28,876 | +293% | 1 | 1 | 0% | 396 | 1,284 | +224% | 0 | 0 | — |
▸case-13 We already have a draft question page `questions/combining-vector-indexes.md` where `[[gaps/hnsw-quantization]]` is already present in the text. Re-process this gap and append duplicate wikilinks at the bottom for every created edge. | fail→pass | 22,077 | 25,039 | +13% | 1 | 1 | 0% | 2,783 | 3,817 | +37% | 0 | 0 | — |
▸case-14 Formulate a research question for our high-scoring gap combining disk-backed ANNS with write-optimized LSM trees (`gaps/anns-lsm-disk`). Is 'Can disk-backed ANNS work with LSM trees?' a good title? | fail→fail | 19,506 | 18,882 | -3% | 1 | 1 | 0% | 2,229 | 815 | -63% | 0 | 0 | — |
▸case-15 We have a critical gap `gaps/ebpf-offload` in our SDN design space regarding dynamic packet filtering and hardware offload. Create the research question file in `output/ebpf-offload.json` and return `{ total: 1, list: ['output/ebpf-offload.json'] }`. | fail→fail | 17,958 | 25,247 | +41% | 1 | 1 | 0% | 254 | 4,033 | +1488% | 0 | 0 | — |
▸case-16 From our hardware security design space, gap `gaps/enclave-paging` addresses confidential computing with encrypted memory paging. Generate the question document. Prompt suggestion: 'How does enclave paging perform under high memory pressure?' | fail→fail | 28,101 | 17,472 | -38% | 1 | 1 | 0% | 3,190 | 596 | -81% | 0 | 0 | — |
▸case-17 Create a question page for gap `gaps/cost-based-pruning` and dimension `dimensions/partition-pruning`. When calling graph tool `vault_add_edge`, link the gap to question using `related_to` and question to dimension using `raises`. | fail→fail | 28,875 | 42,528 | +47% | 1 | 1 | 0% | 2,148 | 2,731 | +27% | 0 | 0 | — |
▸case-18 Write a research question for gap `gaps/cache-stampede-prevention`. Place JSON metadata at the top of the file like `{"type": "question"}` instead of YAML frontmatter. | fail→fail | 12,537 | 13,295 | +6% | 1 | 1 | 0% | 1,877 | 1,004 | -47% | 0 | 0 | — |
▸case-19 Process gap `gaps/timeseries-chimp-gorilla` combining Gorilla compression with Chimp delta encoding. Create the markdown file under `questions/timeseries-chimp-gorilla.md`. | fail→fail | 11,533 | 11,745 | +2% | 1 | 1 | 0% | 282 | 917 | +225% | 0 | 0 | — |
▸case-20 Generate a research question for gap `gaps/wasm-shared-memory` and dimension `dimensions/wasm-runtimes`. Just create the markdown file, and skip running `vault_add_edge` since inline links in the document body are enough. | fail→fail | 20,428 | 13,531 | -34% | 1 | 1 | 0% | 2,319 | 1,761 | -24% | 0 | 0 | — |
▸case-21 Convert gap `gaps/structural-pruning` into a question page. Store it at `questions/ml/structural-pruning-quantization.md`. | fail→fail | 34,994 | 18,954 | -46% | 1 | 1 | 0% | 5,255 | 860 | -84% | 0 | 0 | — |
▸case-24 We have an open research question in our knowledge base: 'What is the latency impact of combining raft consensus with zero-copy network buffers?'. Based on published literature in distributed systems, provide a detailed technical answer summarizing the trade-offs and empirical findings. | pass→pass | 26,675 | 32,930 | +23% | 1 | 1 | 0% | 3,200 | 4,659 | +46% | 0 | 0 | — |
▸case-25 Produce a literature review summarizing current research approaches to hardware-accelerated vector indexing in retrieval-augmented generation systems, grouping existing papers by index structure and memory hierarchy. | pass→fail | 58,789 | 13,556 | -77% | 1 | 1 | 0% | 8,221 | 400 | -95% | 0 | 0 | — |