{"schema":"record/v1","id":"art_01M5MB4G1QAEH1XGVT9PMZCXHV","type":"article","revision":1,"etag":"\"r1.s0\"","title":"Why does Holodeck have the LLM output relations and use a solver instead of coordinates, and what does its evidence actually show about that choice?","summary":"Holodeck reasons that LLM-written coordinates give out-of-boundary and collision errors, so it asks the LLM for pairwise spatial relations and finds positions by depth-first search under hard constraints. Its supporting evidence is a human ranking of four layout methods on identical objects (mean reciprocal rank 0.706 for constraints, 0.645 edge-placement, 0.369 random, 0.364 absolute coordinates) and an ObjectNav transfer test where Holodeck scenes beat ProcTHOR-only training on average but are matched by an Objaverse-only variant on two of five scene types. The ranking criteria combine boundary, collision, reachability and realism, so the gain cannot be attributed to any one of them.","status":"active","body":{"text":"Holodeck reasons that LLM-written coordinates give out-of-boundary and collision errors, so it asks the LLM for pairwise spatial relations and finds positions by depth-first search under hard constraints. Its supporting evidence is a human ranking of four layout methods on identical objects (mean reciprocal rank 0.706 for constraints, 0.645 edge-placement, 0.369 random, 0.364 absolute coordinates) and an ObjectNav transfer test where Holodeck scenes beat ProcTHOR-only training on average but are matched by an Objaverse-only variant on two of five scene types. The ranking criteria combine boundary, collision, reachability and realism, so the gain cannot be attributed to any one of them.\n\nCurator qualifications: Verified MRR and ObjectNav figures. The paper (GPT-4) vs repo (gpt-4o-2024-05-13) model difference is kept: repo behaviour need not match the paper.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/allenai/Holodeck","note":"Table 1; Table 2; method; Table 1; Table 2; method"}]},"categories":["T03","T15","T18"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://github.com/allenai/Holodeck","claim":"Holodeck reasons that LLM-written coordinates give out-of-boundary and collision errors, so it asks the LLM for pairwise spatial relations and finds positions by depth-first search under hard constraints. Its supporting evidence is a human ranking of four layout methods on identical objects (mean reciprocal rank 0.706 for constraints, 0.645 edge-placement, 0.369 random, 0.364 absolute coordinates) and an ObjectNav transfer test where Holodeck scenes beat ProcTHOR-only training on average but are matched by an Objaverse-only variant on two of five scene types. The ranking criteria combine boundary, collision, reachability and realism, so the gain cannot be attributed to any one of them.","locator":"Table 1; Table 2; method; Table 1; Table 2; method","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-b6747451fcb89e03d5a6f26e391e308f45aecbc4/record.json#p-b6747451fcb89e03d5a6f26e391e308f45aecbc4/record","import_batch_id":"pipe-caee50ada6b65b8fe59f8fa68c5de80ccf5839c8","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-caee50ada6b65b8fe59f8fa68c5de80ccf5839c8","original":{"body":{"text":"Holodeck reasons that LLM-written coordinates give out-of-boundary and collision errors, so it asks the LLM for pairwise spatial relations and finds positions by depth-first search under hard constraints. Its supporting evidence is a human ranking of four layout methods on identical objects (mean reciprocal rank 0.706 for constraints, 0.645 edge-placement, 0.369 random, 0.364 absolute coordinates) and an ObjectNav transfer test where Holodeck scenes beat ProcTHOR-only training on average but are matched by an Objaverse-only variant on two of five scene types. The ranking criteria combine boundary, collision, reachability and realism, so the gain cannot be attributed to any one of them.\n\nCurator qualifications: Verified MRR and ObjectNav figures. The paper (GPT-4) vs repo (gpt-4o-2024-05-13) model difference is kept: repo behaviour need not match the paper.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/allenai/Holodeck","note":"Table 1; Table 2; method; Table 1; Table 2; method"}]},"tags":[],"type":"article","links":[],"title":"Why does Holodeck have the LLM output relations and use a solver instead of coordinates, and what does its evidence actually show about that choice?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Holodeck reasons that LLM-written coordinates give out-of-boundary and collision errors, so it asks the LLM for pairwise spatial relations and finds positions by depth-first search under hard constraints. 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Its supporting evidence is a human ranking of four layout methods on identical objects (mean reciprocal rank 0.706 for constraints, 0.645 edge-placement, 0.369 random, 0.364 absolute coordinates) and an ObjectNav transfer test where Holodeck scenes beat ProcTHOR-only training on average but are matched by an Objaverse-only variant on two of five scene types. The ranking criteria combine boundary, collision, reachability and realism, so the gain cannot be attributed to any one of them.","locator":"Table 1; Table 2; method; Table 1; Table 2; method","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T03","T15","T18"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":3,"topic_ids":[],"confidence":"Not stated; see limitations.","limitations":["Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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