{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:25RRRO6ZOSINQ2MVEKVNQY3VI7","short_pith_number":"pith:25RRRO6Z","canonical_record":{"source":{"id":"2405.14214","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T06:17:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"df19d013df30bcd57dc528d57170def10617eac3f16bf79de4c1e7b9c4b538e7","abstract_canon_sha256":"8be47b07a5988ce03d6151b9f51080d7d5bda09d04075094668a74414bbb2304"},"schema_version":"1.0"},"canonical_sha256":"d76318bbd97490d8699522aad8637547c60b9b2a4b21b6825f45ca3133dc53e6","source":{"kind":"arxiv","id":"2405.14214","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14214","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14214v1","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14214","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"pith_short_12","alias_value":"25RRRO6ZOSIN","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"pith_short_16","alias_value":"25RRRO6ZOSINQ2MV","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"pith_short_8","alias_value":"25RRRO6Z","created_at":"2026-07-05T08:22:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:25RRRO6ZOSINQ2MVEKVNQY3VI7","target":"record","payload":{"canonical_record":{"source":{"id":"2405.14214","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T06:17:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"df19d013df30bcd57dc528d57170def10617eac3f16bf79de4c1e7b9c4b538e7","abstract_canon_sha256":"8be47b07a5988ce03d6151b9f51080d7d5bda09d04075094668a74414bbb2304"},"schema_version":"1.0"},"canonical_sha256":"d76318bbd97490d8699522aad8637547c60b9b2a4b21b6825f45ca3133dc53e6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:11.706046Z","signature_b64":"sxfeCxtOJhvEAAwFlLIHi58KEcRZsS/4V6A6wIpav/FNCfrDKg0OrGu0KJQq7gE6biH7bOeSZMvlDzG1dO1+Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d76318bbd97490d8699522aad8637547c60b9b2a4b21b6825f45ca3133dc53e6","last_reissued_at":"2026-07-05T08:22:11.705490Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:11.705490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.14214","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":"2026-07-05T08:22:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JLA4DYx7sUCPsg0uN/DH76ZrzDl04H4+pR/IDFN3bxxD9qnpp8AgNfmT7cFDp2FsfOknzdEPYQPg8q5EASQoCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:42:09.652549Z"},"content_sha256":"eae7772ec0fa6f31bd29b40ce1a1aa4c1e8b597d1f289d46c6278f62e9c04366","schema_version":"1.0","event_id":"sha256:eae7772ec0fa6f31bd29b40ce1a1aa4c1e8b597d1f289d46c6278f62e9c04366"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:25RRRO6ZOSINQ2MVEKVNQY3VI7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Guangquan Zhang, Jie Lu, Junyu Xuan, Zihe Liu","submitted_at":"2024-05-23T06:17:26Z","abstract_excerpt":"Deep reinforcement learning is used in various domains, but usually under the assumption that the environment has stationary conditions like transitions and state distributions. When this assumption is not met, performance suffers. For this reason, tracking continuous environmental changes and adapting to unpredictable conditions is challenging yet crucial because it ensures that systems remain reliable and flexible in practical scenarios. Our research introduces Behavior-Aware Detection and Adaptation (BADA), an innovative framework that merges environmental change detection with behavior ada"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14214","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/2405.14214/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":"2026-07-05T08:22:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HNjq3TDFs3+nR8Vg3TOYOgbu3uYX7IZV0IgVxmdjyCqpqhuCe40FwmyY5PaITCFSQnXwJddyHyud9fh0evknCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:42:09.653100Z"},"content_sha256":"946fdaeb115814a589e5afdc0409cd7c8d5d2464c1b44bf1799a9c72cd7a8eeb","schema_version":"1.0","event_id":"sha256:946fdaeb115814a589e5afdc0409cd7c8d5d2464c1b44bf1799a9c72cd7a8eeb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7/bundle.json","state_url":"https://pith.science/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7/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":"2026-08-07T12:42:09Z","links":{"resolver":"https://pith.science/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7","bundle":"https://pith.science/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7/bundle.json","state":"https://pith.science/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/25RRRO6ZOSINQ2MVEKVNQY3VI7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:25RRRO6ZOSINQ2MVEKVNQY3VI7","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":"8be47b07a5988ce03d6151b9f51080d7d5bda09d04075094668a74414bbb2304","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T06:17:26Z","title_canon_sha256":"df19d013df30bcd57dc528d57170def10617eac3f16bf79de4c1e7b9c4b538e7"},"schema_version":"1.0","source":{"id":"2405.14214","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14214","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14214v1","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14214","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"pith_short_12","alias_value":"25RRRO6ZOSIN","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"pith_short_16","alias_value":"25RRRO6ZOSINQ2MV","created_at":"2026-07-05T08:22:11Z"},{"alias_kind":"pith_short_8","alias_value":"25RRRO6Z","created_at":"2026-07-05T08:22:11Z"}],"graph_snapshots":[{"event_id":"sha256:946fdaeb115814a589e5afdc0409cd7c8d5d2464c1b44bf1799a9c72cd7a8eeb","target":"graph","created_at":"2026-07-05T08:22:11Z","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/2405.14214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep reinforcement learning is used in various domains, but usually under the assumption that the environment has stationary conditions like transitions and state distributions. When this assumption is not met, performance suffers. For this reason, tracking continuous environmental changes and adapting to unpredictable conditions is challenging yet crucial because it ensures that systems remain reliable and flexible in practical scenarios. Our research introduces Behavior-Aware Detection and Adaptation (BADA), an innovative framework that merges environmental change detection with behavior ada","authors_text":"Guangquan Zhang, Jie Lu, Junyu Xuan, Zihe Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T06:17:26Z","title":"A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14214","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:eae7772ec0fa6f31bd29b40ce1a1aa4c1e8b597d1f289d46c6278f62e9c04366","target":"record","created_at":"2026-07-05T08:22:11Z","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":"8be47b07a5988ce03d6151b9f51080d7d5bda09d04075094668a74414bbb2304","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T06:17:26Z","title_canon_sha256":"df19d013df30bcd57dc528d57170def10617eac3f16bf79de4c1e7b9c4b538e7"},"schema_version":"1.0","source":{"id":"2405.14214","kind":"arxiv","version":1}},"canonical_sha256":"d76318bbd97490d8699522aad8637547c60b9b2a4b21b6825f45ca3133dc53e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d76318bbd97490d8699522aad8637547c60b9b2a4b21b6825f45ca3133dc53e6","first_computed_at":"2026-07-05T08:22:11.705490Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:11.705490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sxfeCxtOJhvEAAwFlLIHi58KEcRZsS/4V6A6wIpav/FNCfrDKg0OrGu0KJQq7gE6biH7bOeSZMvlDzG1dO1+Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:11.706046Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14214","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eae7772ec0fa6f31bd29b40ce1a1aa4c1e8b597d1f289d46c6278f62e9c04366","sha256:946fdaeb115814a589e5afdc0409cd7c8d5d2464c1b44bf1799a9c72cd7a8eeb"],"state_sha256":"bc29c77868db2ea17b7458e31250334a5e5d546358cb9bea17cd94a6f27ff4da"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n5wsje6jOFLvhiyHGLzLtCzU8FMd0I+yCNms0Yw39ASxg7OzzR0q/69wTFZJXeZPap4RBnMdDdbXWu2XG7XzDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:42:09.658171Z","bundle_sha256":"9de3c93f9f178f2c5e1394c5e3673ca73c24ae9091cfc3f42bb8fae711d1f970"}}