{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:H3WZO5NXVTTN2OGAVN2JTFKFOL","short_pith_number":"pith:H3WZO5NX","canonical_record":{"source":{"id":"2505.20781","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-27T06:39:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f1066ebd75015297860a45504f0e24805fb29f50918c9a94020a22169b9f7498","abstract_canon_sha256":"5d71b17362490f9675388885f63e44aa4f7e5b6a8984e6f9ca5b2ea17cd7bd52"},"schema_version":"1.0"},"canonical_sha256":"3eed9775b7ace6dd38c0ab7499954572f59b372c826a03d87644afecb4e1faec","source":{"kind":"arxiv","id":"2505.20781","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20781","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20781v1","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20781","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"pith_short_12","alias_value":"H3WZO5NXVTTN","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"pith_short_16","alias_value":"H3WZO5NXVTTN2OGA","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"pith_short_8","alias_value":"H3WZO5NX","created_at":"2026-07-05T11:10:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:H3WZO5NXVTTN2OGAVN2JTFKFOL","target":"record","payload":{"canonical_record":{"source":{"id":"2505.20781","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-27T06:39:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f1066ebd75015297860a45504f0e24805fb29f50918c9a94020a22169b9f7498","abstract_canon_sha256":"5d71b17362490f9675388885f63e44aa4f7e5b6a8984e6f9ca5b2ea17cd7bd52"},"schema_version":"1.0"},"canonical_sha256":"3eed9775b7ace6dd38c0ab7499954572f59b372c826a03d87644afecb4e1faec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:18.794775Z","signature_b64":"zSYsikkpnKXOz/gnV7APPfMMSN+saEHOv8Wiap0lJILTkMT41mj6VCZOHQBijqvpfVYU1wWQpujreanrplj+Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3eed9775b7ace6dd38c0ab7499954572f59b372c826a03d87644afecb4e1faec","last_reissued_at":"2026-07-05T11:10:18.794273Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:18.794273Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.20781","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:10:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B2pBaxxHtQadSg27nnAsOVPJx2jzdPYb4UAEV6AWRY+dkWuoTT/b5XQ01UwjYS/Ja0yTswtUd3c9ya1LuNrcDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:37:38.586063Z"},"content_sha256":"2dc924acefaaec0afe75e9f30bb7eb1a20d2f8525114cb32de4067e535658886","schema_version":"1.0","event_id":"sha256:2dc924acefaaec0afe75e9f30bb7eb1a20d2f8525114cb32de4067e535658886"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:H3WZO5NXVTTN2OGAVN2JTFKFOL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Florian Shkurti, Haruki Nishimura, Hossein Goli, Masha Itkina, Michael Gimelfarb, Nathan Samuel de Lara","submitted_at":"2025-05-27T06:39:26Z","abstract_excerpt":"Off-policy evaluation (OPE) estimates the performance of a target policy using offline data collected from a behavior policy, and is crucial in domains such as robotics or healthcare where direct interaction with the environment is costly or unsafe. Existing OPE methods are ineffective for high-dimensional, long-horizon problems, due to exponential blow-ups in variance from importance weighting or compounding errors from learned dynamics models. To address these challenges, we propose STITCH-OPE, a model-based generative framework that leverages denoising diffusion for long-horizon OPE in high"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20781","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.20781/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:10:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZZKfA4m9Un18BNmV4g48PdsC15VyVPEBQQ4F1qFEJiNHfd9vbEfHssv12ilomtKCeY0ZM7S/JLNExuRLfERPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:37:38.586555Z"},"content_sha256":"d3a77bb791e6859dc7bedb4c3cec9fb8aa4a464b4fcfcb89433ca081806d9cd4","schema_version":"1.0","event_id":"sha256:d3a77bb791e6859dc7bedb4c3cec9fb8aa4a464b4fcfcb89433ca081806d9cd4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL/bundle.json","state_url":"https://pith.science/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T23:37:38Z","links":{"resolver":"https://pith.science/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL","bundle":"https://pith.science/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL/bundle.json","state":"https://pith.science/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H3WZO5NXVTTN2OGAVN2JTFKFOL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H3WZO5NXVTTN2OGAVN2JTFKFOL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5d71b17362490f9675388885f63e44aa4f7e5b6a8984e6f9ca5b2ea17cd7bd52","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-27T06:39:26Z","title_canon_sha256":"f1066ebd75015297860a45504f0e24805fb29f50918c9a94020a22169b9f7498"},"schema_version":"1.0","source":{"id":"2505.20781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20781","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20781v1","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20781","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"pith_short_12","alias_value":"H3WZO5NXVTTN","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"pith_short_16","alias_value":"H3WZO5NXVTTN2OGA","created_at":"2026-07-05T11:10:18Z"},{"alias_kind":"pith_short_8","alias_value":"H3WZO5NX","created_at":"2026-07-05T11:10:18Z"}],"graph_snapshots":[{"event_id":"sha256:d3a77bb791e6859dc7bedb4c3cec9fb8aa4a464b4fcfcb89433ca081806d9cd4","target":"graph","created_at":"2026-07-05T11:10:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.20781/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Off-policy evaluation (OPE) estimates the performance of a target policy using offline data collected from a behavior policy, and is crucial in domains such as robotics or healthcare where direct interaction with the environment is costly or unsafe. Existing OPE methods are ineffective for high-dimensional, long-horizon problems, due to exponential blow-ups in variance from importance weighting or compounding errors from learned dynamics models. To address these challenges, we propose STITCH-OPE, a model-based generative framework that leverages denoising diffusion for long-horizon OPE in high","authors_text":"Florian Shkurti, Haruki Nishimura, Hossein Goli, Masha Itkina, Michael Gimelfarb, Nathan Samuel de Lara","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-27T06:39:26Z","title":"STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20781","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2dc924acefaaec0afe75e9f30bb7eb1a20d2f8525114cb32de4067e535658886","target":"record","created_at":"2026-07-05T11:10:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5d71b17362490f9675388885f63e44aa4f7e5b6a8984e6f9ca5b2ea17cd7bd52","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-27T06:39:26Z","title_canon_sha256":"f1066ebd75015297860a45504f0e24805fb29f50918c9a94020a22169b9f7498"},"schema_version":"1.0","source":{"id":"2505.20781","kind":"arxiv","version":1}},"canonical_sha256":"3eed9775b7ace6dd38c0ab7499954572f59b372c826a03d87644afecb4e1faec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3eed9775b7ace6dd38c0ab7499954572f59b372c826a03d87644afecb4e1faec","first_computed_at":"2026-07-05T11:10:18.794273Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:18.794273Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zSYsikkpnKXOz/gnV7APPfMMSN+saEHOv8Wiap0lJILTkMT41mj6VCZOHQBijqvpfVYU1wWQpujreanrplj+Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:18.794775Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2dc924acefaaec0afe75e9f30bb7eb1a20d2f8525114cb32de4067e535658886","sha256:d3a77bb791e6859dc7bedb4c3cec9fb8aa4a464b4fcfcb89433ca081806d9cd4"],"state_sha256":"1104c8a589d3a52f86e66180ae3f5c3c797e84fd3c62137729bf1cca391922c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZS1TuQB0pH8qSgG8Ypy4uRZv5deMhvNakmNQr3yf/47jS697SssGW33JRkJTTIhDwoaPMqsq1I70iKt0n8tCCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T23:37:38.591314Z","bundle_sha256":"4827479ac4b4e41806aae313e6053f4fa4103e3ecff8f205955bfa15981c4c17"}}