Step 18: tool results

add_relationship_edge

{
  "child_id": "2fba320c-eb0d-4c17-85fe-84047a63b83c",
  "relation": "supports",
  "parent_id": "ecb10d1f-b391-4e54-b645-8133ad3827ae",
  "reasoning": "If benchmarks systematically overstate real-world capability, a benchmark-measured acceleration is less likely to carry over in full to AI R&D, which is less well specified. It concerns levels rather than rates, so it supports without settling.",
  "argument_id": "87c6be61-4b54-4ad7-a6b5-64f639d777d7"
}

{"success":true,"message":"Linked existing claim 2fba320c-eb0d-4c17-85fe-84047a63b83c as a subclaim of ecb10d1f-b391-4e54-b645-8133ad3827ae (supports). Grouped it under argument \"The argument from well-specified tasks being easier to improve\".","child_claim_id":"2fba320c-eb0d-4c17-85fe-84047a63b83c","relationship_id":"db94e40b-4007-497a-899a-97a7c21b4709","created":true,"argument_id":"87c6be61-4b54-4ad7-a6b5-64f639d777d7","grouped":true}

add_relationship_edge

{
  "child_id": "d99ac54d-f549-4449-aa8f-70ab070e16da",
  "relation": "contradicts",
  "parent_id": "ecb10d1f-b391-4e54-b645-8133ad3827ae",
  "reasoning": "Software engineering is a large share of AI R&D; if benchmark time-horizon trends transfer to real software work, benchmark acceleration is more likely to carry over to AI R&D, counting against non-generalization.",
  "argument_id": "2dd12de7-ce33-459e-a61d-796d7608c723"
}

{"success":true,"message":"Linked existing claim d99ac54d-f549-4449-aa8f-70ab070e16da as a subclaim of ecb10d1f-b391-4e54-b645-8133ad3827ae (contradicts). Grouped it under argument \"The argument from observed transfer to real R&D work\".","child_claim_id":"d99ac54d-f549-4449-aa8f-70ab070e16da","relationship_id":"0b61fbf8-1244-4b61-a454-fdd281bfa11d","created":true,"argument_id":"2dd12de7-ce33-459e-a61d-796d7608c723","grouped":true}