{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QMRN7BFRBJVYMQRDBQCCYI6EZX","short_pith_number":"pith:QMRN7BFR","canonical_record":{"source":{"id":"2405.06192","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-10T02:21:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3fcebb1571d69b5e1e191b4264e146f73449a25ff35a8974be0fa4acf05fb687","abstract_canon_sha256":"ae0aa16136aa9f924858531641e37cacddc9eddfd67a1f654efcfe9ed29568e9"},"schema_version":"1.0"},"canonical_sha256":"8322df84b10a6b8642230c042c23c4cdf4ac24139ccb93ccbd2829c58c150025","source":{"kind":"arxiv","id":"2405.06192","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.06192","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"arxiv_version","alias_value":"2405.06192v1","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.06192","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"pith_short_12","alias_value":"QMRN7BFRBJVY","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"pith_short_16","alias_value":"QMRN7BFRBJVYMQRD","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"pith_short_8","alias_value":"QMRN7BFR","created_at":"2026-07-05T08:17:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QMRN7BFRBJVYMQRDBQCCYI6EZX","target":"record","payload":{"canonical_record":{"source":{"id":"2405.06192","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-10T02:21:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3fcebb1571d69b5e1e191b4264e146f73449a25ff35a8974be0fa4acf05fb687","abstract_canon_sha256":"ae0aa16136aa9f924858531641e37cacddc9eddfd67a1f654efcfe9ed29568e9"},"schema_version":"1.0"},"canonical_sha256":"8322df84b10a6b8642230c042c23c4cdf4ac24139ccb93ccbd2829c58c150025","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:17:37.082060Z","signature_b64":"k8j0BrlGCSoJ1nSW/4a7RtnOR9SS05D1q/b0Zvp1sgsseuOaSzpd7qwsysIARw8V4x77SpWpmI/nMosF30zFBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8322df84b10a6b8642230c042c23c4cdf4ac24139ccb93ccbd2829c58c150025","last_reissued_at":"2026-07-05T08:17:37.081621Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:17:37.081621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.06192","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":"2026-07-05T08:17:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kcC4lzTnEQF8xUT30MwZr83JP+zI+ySTrM0K2q4OLLPRoyN+hVwtaFjrbqTy2HW97hrshMvpihJ818wLM7E1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:22:19.970698Z"},"content_sha256":"8a78c8742b2e2c8e98640ef62ad471775360aac32d73e078129f376bd8494f01","schema_version":"1.0","event_id":"sha256:8a78c8742b2e2c8e98640ef62ad471775360aac32d73e078129f376bd8494f01"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QMRN7BFRBJVYMQRDBQCCYI6EZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Chenjia Bai, Kang Xu, Xiaoyu Wen, Xudong Yu, Xuelong Li, Yang Zhang, Zhen Wang","submitted_at":"2024-05-10T02:21:42Z","abstract_excerpt":"Cross-domain offline reinforcement learning leverages source domain data with diverse transition dynamics to alleviate the data requirement for the target domain. However, simply merging the data of two domains leads to performance degradation due to the dynamics mismatch. Existing methods address this problem by measuring the dynamics gap via domain classifiers while relying on the assumptions of the transferability of paired domains. In this paper, we propose a novel representation-based approach to measure the domain gap, where the representation is learned through a contrastive objective b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.06192","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/2405.06192/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":"2026-07-05T08:17:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5K89n/8wN3LOit/mi+8kmWJBvb+18KC/vXoIoDPhpuTCWJUkDT9jvnQJjteTUfYJFontlqN3x8fm+6pRxb7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:22:19.971389Z"},"content_sha256":"ca9bab3980c5456b0c3127eaf0d0e4a49a800ffb26884944a4fc550013eee947","schema_version":"1.0","event_id":"sha256:ca9bab3980c5456b0c3127eaf0d0e4a49a800ffb26884944a4fc550013eee947"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX/bundle.json","state_url":"https://pith.science/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX/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":"2026-08-08T16:22:19Z","links":{"resolver":"https://pith.science/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX","bundle":"https://pith.science/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX/bundle.json","state":"https://pith.science/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QMRN7BFRBJVYMQRDBQCCYI6EZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QMRN7BFRBJVYMQRDBQCCYI6EZX","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":"ae0aa16136aa9f924858531641e37cacddc9eddfd67a1f654efcfe9ed29568e9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-10T02:21:42Z","title_canon_sha256":"3fcebb1571d69b5e1e191b4264e146f73449a25ff35a8974be0fa4acf05fb687"},"schema_version":"1.0","source":{"id":"2405.06192","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.06192","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"arxiv_version","alias_value":"2405.06192v1","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.06192","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"pith_short_12","alias_value":"QMRN7BFRBJVY","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"pith_short_16","alias_value":"QMRN7BFRBJVYMQRD","created_at":"2026-07-05T08:17:37Z"},{"alias_kind":"pith_short_8","alias_value":"QMRN7BFR","created_at":"2026-07-05T08:17:37Z"}],"graph_snapshots":[{"event_id":"sha256:ca9bab3980c5456b0c3127eaf0d0e4a49a800ffb26884944a4fc550013eee947","target":"graph","created_at":"2026-07-05T08:17:37Z","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/2405.06192/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-domain offline reinforcement learning leverages source domain data with diverse transition dynamics to alleviate the data requirement for the target domain. However, simply merging the data of two domains leads to performance degradation due to the dynamics mismatch. Existing methods address this problem by measuring the dynamics gap via domain classifiers while relying on the assumptions of the transferability of paired domains. In this paper, we propose a novel representation-based approach to measure the domain gap, where the representation is learned through a contrastive objective b","authors_text":"Chenjia Bai, Kang Xu, Xiaoyu Wen, Xudong Yu, Xuelong Li, Yang Zhang, Zhen Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-10T02:21:42Z","title":"Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.06192","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":"sha256:8a78c8742b2e2c8e98640ef62ad471775360aac32d73e078129f376bd8494f01","target":"record","created_at":"2026-07-05T08:17:37Z","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":"ae0aa16136aa9f924858531641e37cacddc9eddfd67a1f654efcfe9ed29568e9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-10T02:21:42Z","title_canon_sha256":"3fcebb1571d69b5e1e191b4264e146f73449a25ff35a8974be0fa4acf05fb687"},"schema_version":"1.0","source":{"id":"2405.06192","kind":"arxiv","version":1}},"canonical_sha256":"8322df84b10a6b8642230c042c23c4cdf4ac24139ccb93ccbd2829c58c150025","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8322df84b10a6b8642230c042c23c4cdf4ac24139ccb93ccbd2829c58c150025","first_computed_at":"2026-07-05T08:17:37.081621Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:37.081621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k8j0BrlGCSoJ1nSW/4a7RtnOR9SS05D1q/b0Zvp1sgsseuOaSzpd7qwsysIARw8V4x77SpWpmI/nMosF30zFBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:37.082060Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.06192","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a78c8742b2e2c8e98640ef62ad471775360aac32d73e078129f376bd8494f01","sha256:ca9bab3980c5456b0c3127eaf0d0e4a49a800ffb26884944a4fc550013eee947"],"state_sha256":"a6f8c5d629006c4061eb92b1d3b3832180fd08ab71cd88212ad6f312e66db988"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MZtD8v4dtTABWo9qevDuezb7cZkLJopVoe9L5aX0folBSXxKw91GCW328JMybIiqBqsTZis0zTFMrdxcriH1Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:22:19.976338Z","bundle_sha256":"51461fa3878be1bc03bf353c76ec4b3c43448e28ade86013ea3d7bcf1c357d5d"}}