adaptive-agent-memory-playground / data /memory_bank_experiences.csv
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experience_id,task_domain,trigger_condition,strategy_lesson,negative_pitfall,initial_confidence,successes_count,failures_count,total_uses,posterior_mean_trust,posterior_variance,pessimistic_lcb_score,quarantine_status,is_adversarial_sample
exp_0001,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.91,4,4,8,0.5833,0.018697,0.4466,active,False
exp_0002,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.823,6,0,6,0.9,0.008182,0.8095,active,False
exp_0003,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.89,2,2,4,0.625,0.026042,0.4636,active,False
exp_0004,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.945,7,0,7,0.9091,0.006887,0.8261,active,False
exp_0005,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.827,10,0,10,0.9286,0.004422,0.8621,active,False
exp_0006,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.879,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0007,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.892,0,4,4,0.375,0.026042,0.2136,deprecated,True
exp_0008,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.855,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0009,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.83,4,2,6,0.7,0.019091,0.5618,active,False
exp_0010,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.807,5,1,6,0.8,0.014545,0.6794,active,False
exp_0011,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.81,6,0,6,0.9,0.008182,0.8095,active,False
exp_0012,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.921,15,4,19,0.7826,0.007089,0.6984,active,False
exp_0013,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.903,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0014,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.874,0,3,3,0.4286,0.030612,0.2536,active,True
exp_0015,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.839,2,3,5,0.5556,0.024691,0.3984,active,False
exp_0016,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.878,6,0,6,0.9,0.008182,0.8095,active,False
exp_0017,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.945,5,0,5,0.8889,0.009877,0.7895,active,False
exp_0018,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.934,8,4,12,0.6875,0.012638,0.5751,active,False
exp_0019,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.813,6,3,9,0.6923,0.015216,0.569,active,False
exp_0020,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.849,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0021,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.924,0,4,4,0.375,0.026042,0.2136,deprecated,True
exp_0022,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.881,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0023,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.811,2,2,4,0.625,0.026042,0.4636,active,False
exp_0024,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.83,21,2,23,0.8889,0.003527,0.8295,active,False
exp_0025,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.906,2,2,4,0.625,0.026042,0.4636,active,False
exp_0026,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.811,7,2,9,0.7692,0.01268,0.6566,active,False
exp_0027,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.929,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0028,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.81,1,4,5,0.4444,0.024691,0.2873,active,True
exp_0029,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.909,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0030,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.871,6,3,9,0.6923,0.015216,0.569,active,False
exp_0031,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.914,2,1,3,0.7143,0.02551,0.5546,active,False
exp_0032,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.874,5,2,7,0.7273,0.016529,0.5987,active,False
exp_0033,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.804,5,0,5,0.8889,0.009877,0.7895,active,False
exp_0034,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.895,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0035,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.936,0,6,6,0.3,0.019091,0.1618,deprecated,True
exp_0036,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.913,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0037,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.843,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0038,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.921,2,3,5,0.5556,0.024691,0.3984,active,False
exp_0039,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.921,6,2,8,0.75,0.014423,0.6299,active,False
exp_0040,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.881,2,3,5,0.5556,0.024691,0.3984,active,False
exp_0041,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.848,9,3,12,0.75,0.011029,0.645,active,False
exp_0042,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.864,0,4,4,0.375,0.026042,0.2136,deprecated,True
exp_0043,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.801,9,2,11,0.8,0.01,0.7,active,False
exp_0044,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.833,5,0,5,0.8889,0.009877,0.7895,active,False
exp_0045,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.941,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0046,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.905,3,1,4,0.75,0.020833,0.6057,active,False
exp_0047,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.944,4,5,9,0.5385,0.017751,0.4052,active,False
exp_0048,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.845,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0049,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.891,0,3,3,0.4286,0.030612,0.2536,active,True
exp_0050,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.842,5,0,5,0.8889,0.009877,0.7895,active,False
exp_0051,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.822,12,0,12,0.9375,0.003447,0.8788,active,False
exp_0052,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.836,5,6,11,0.5333,0.015556,0.4086,active,False
exp_0053,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.836,6,2,8,0.75,0.014423,0.6299,active,False
exp_0054,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.895,7,0,7,0.9091,0.006887,0.8261,active,False
exp_0055,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.814,6,1,7,0.8182,0.012397,0.7068,active,False
exp_0056,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.828,1,4,5,0.4444,0.024691,0.2873,active,True
exp_0057,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.902,2,1,3,0.7143,0.02551,0.5546,active,False
exp_0058,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.834,2,1,3,0.7143,0.02551,0.5546,active,False
exp_0059,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.904,6,0,6,0.9,0.008182,0.8095,active,False
exp_0060,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.821,4,3,7,0.6364,0.019284,0.4975,active,False
exp_0061,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.939,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0062,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.899,11,0,11,0.9333,0.003889,0.871,active,False
exp_0063,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.879,1,6,7,0.3636,0.019284,0.2248,deprecated,True
exp_0064,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.935,3,0,3,0.8571,0.015306,0.7334,active,False
exp_0065,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.851,12,1,13,0.8824,0.005767,0.8064,active,False
exp_0066,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.935,3,1,4,0.75,0.020833,0.6057,active,False
exp_0067,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.896,11,2,13,0.8235,0.008074,0.7337,active,False
exp_0068,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.935,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0069,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.815,6,0,6,0.9,0.008182,0.8095,active,False
exp_0070,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.824,1,3,4,0.5,0.027778,0.3333,active,True
exp_0071,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.898,5,1,6,0.8,0.014545,0.6794,active,False
exp_0072,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.836,3,1,4,0.75,0.020833,0.6057,active,False
exp_0073,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.897,3,1,4,0.75,0.020833,0.6057,active,False
exp_0074,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.885,10,1,11,0.8667,0.007222,0.7817,active,False
exp_0075,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.84,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0076,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.859,3,5,8,0.5,0.019231,0.3613,active,False
exp_0077,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.919,2,7,9,0.3846,0.016906,0.2546,deprecated,True
exp_0078,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.874,5,1,6,0.8,0.014545,0.6794,active,False
exp_0079,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.842,2,1,3,0.7143,0.02551,0.5546,active,False
exp_0080,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.827,2,1,3,0.7143,0.02551,0.5546,active,False
exp_0081,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.937,14,4,18,0.7727,0.007636,0.6853,active,False
exp_0082,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.939,4,0,4,0.875,0.012153,0.7648,active,False
exp_0083,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.945,4,4,8,0.5833,0.018697,0.4466,active,False
exp_0084,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.858,2,4,6,0.5,0.022727,0.3492,active,True
exp_0085,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.825,10,0,10,0.9286,0.004422,0.8621,active,False
exp_0086,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.904,5,3,8,0.6667,0.017094,0.5359,active,False
exp_0087,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.892,5,0,5,0.8889,0.009877,0.7895,active,False
exp_0088,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.878,22,0,22,0.9615,0.00137,0.9245,active,False
exp_0089,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.905,11,1,12,0.875,0.006434,0.7948,active,False
exp_0090,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.844,7,0,7,0.9091,0.006887,0.8261,active,False
exp_0091,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.93,1,10,11,0.2667,0.012222,0.1561,deprecated,True
exp_0092,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.875,12,1,13,0.8824,0.005767,0.8064,active,False
exp_0093,research,Adversarial prompt injection in tool execution parameters,Enforce strict Pydantic JSON schema validation and sanitize tool inputs.,Do not permit arbitrary shell command execution from raw LLM outputs.,0.905,9,1,10,0.8571,0.008163,0.7668,active,False
exp_0094,analysis,Partition pruning failure on date-partitioned BigQuery tables,Specify explicit partition filters in WHERE clauses before join projection.,Avoid dynamic SQL expressions that bypass query optimizer partition pruning.,0.851,9,3,12,0.75,0.011029,0.645,active,False
exp_0095,planning,Catastrophic forgetting during multi-turn reflection updates,Maintain conjugate Beta posterior tracking with pessimistic LCB retrieval.,Never use uncalibrated symmetric EMA that permits negative transfer.,0.887,4,0,4,0.875,0.012153,0.7648,active,False
exp_0096,coding,Distributed PyTorch GPU OOM during backward pass,Apply gradient accumulation and activate activation checkpointing.,Do not blindly increase batch size without profiling memory overhead.,0.881,2,0,2,0.8333,0.019841,0.6925,active,False
exp_0097,research,Conflicting scientific claims regarding carbon capture efficiency,Cross-reference source methodology and normalize baseline parameters.,Avoid citing unverified preprint summaries lacking methodology disclosures.,0.805,3,1,4,0.75,0.020833,0.6057,active,False
exp_0098,analysis,Vector index latency spikes under high query concurrency,Implement HNSW index quantization with IVFPQ compression.,Do not disable index caching on read-heavy production query routes.,0.854,0,10,10,0.2143,0.011224,0.1083,deprecated,True
exp_0099,planning,Cyclic dependency resolution in topological DAG ordering,Execute Tarjan strongly connected components algorithm before scheduling.,Never bypass cycle detection when parsing user-defined task graphs.,0.915,2,1,3,0.7143,0.02551,0.5546,active,False
exp_0100,coding,Cross-table entity reconciliation across heterogeneous schemas,Construct hybrid similarity metrics over normalized canonical keys.,Avoid raw string matching on unnormalized entity identifiers.,0.813,3,1,4,0.75,0.020833,0.6057,active,False