{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:G6LJ2S236EH6B3GBS6WLXPUDZR","short_pith_number":"pith:G6LJ2S23","canonical_record":{"source":{"id":"2306.10698","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-19T04:48:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4ce25a8f27319537454bb3abc19539da082e8c02cfd6d8a9c9af08318255436e","abstract_canon_sha256":"2d7f6234a4659d52305e63d4ba60eed1689d5c5c706f64c505e4e1f4d9569782"},"schema_version":"1.0"},"canonical_sha256":"37969d4b5bf10fe0ecc197acbbbe83cc5e5df30fe7248e473ed088258054e95c","source":{"kind":"arxiv","id":"2306.10698","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10698","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10698v6","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10698","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"pith_short_12","alias_value":"G6LJ2S236EH6","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"pith_short_16","alias_value":"G6LJ2S236EH6B3GB","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"pith_short_8","alias_value":"G6LJ2S23","created_at":"2026-07-05T07:52:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:G6LJ2S236EH6B3GBS6WLXPUDZR","target":"record","payload":{"canonical_record":{"source":{"id":"2306.10698","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-19T04:48:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4ce25a8f27319537454bb3abc19539da082e8c02cfd6d8a9c9af08318255436e","abstract_canon_sha256":"2d7f6234a4659d52305e63d4ba60eed1689d5c5c706f64c505e4e1f4d9569782"},"schema_version":"1.0"},"canonical_sha256":"37969d4b5bf10fe0ecc197acbbbe83cc5e5df30fe7248e473ed088258054e95c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:52:58.241095Z","signature_b64":"FMxqJ+AS8Yi0EjyiiFLegIB2eWggrsaf8jLOtiI7i88qJxppkZUcNjP2FT7sCncpWSyPxKrlD3sMbWfp8axuDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37969d4b5bf10fe0ecc197acbbbe83cc5e5df30fe7248e473ed088258054e95c","last_reissued_at":"2026-07-05T07:52:58.240650Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:52:58.240650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.10698","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:52:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TwBw+fYW6okyBLyg9h/8LP572lyCPVXKeRBvMbnMCWXfoodUjNw/zynEvzpOwaRLjpEJNFTRplLaQ5KUTJOGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T16:50:21.388109Z"},"content_sha256":"c2042c6273266587a22466a1d513c365b402f72dadf1d5a5ddd424e76611182c","schema_version":"1.0","event_id":"sha256:c2042c6273266587a22466a1d513c365b402f72dadf1d5a5ddd424e76611182c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:G6LJ2S236EH6B3GBS6WLXPUDZR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Chenxu Wang, Jie Fu, Junge Zhang, Liuyu Xiang, Tianyu Zheng, Yaodong Yang, Yonggang Jin, Zhaofeng He","submitted_at":"2023-06-19T04:48:36Z","abstract_excerpt":"Deep reinforcement learning algorithms are usually impeded by sampling inefficiency, heavily depending on multiple interactions with the environment to acquire accurate decision-making capabilities. In contrast, humans rely on their hippocampus to retrieve relevant information from past experiences of relevant tasks, which guides their decision-making when learning a new task, rather than exclusively depending on environmental interactions. Nevertheless, designing a hippocampus-like module for an agent to incorporate past experiences into established reinforcement learning algorithms presents "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10698","kind":"arxiv","version":6},"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/2306.10698/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":"2026-07-05T07:52:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fx5ZZ69wM6lt9AxnkL96+SuiH82WLGrd6F9P2iRwBUhObTx9tjxm7ShUt/AVZYnRxfjGEumw5zaNeWjNnKkCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T16:50:21.388625Z"},"content_sha256":"9856cce16779e09b7c0fba52a1edeecdaa18fedc9fdd4b3c8f93c9965e5ca28b","schema_version":"1.0","event_id":"sha256:9856cce16779e09b7c0fba52a1edeecdaa18fedc9fdd4b3c8f93c9965e5ca28b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G6LJ2S236EH6B3GBS6WLXPUDZR/bundle.json","state_url":"https://pith.science/pith/G6LJ2S236EH6B3GBS6WLXPUDZR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G6LJ2S236EH6B3GBS6WLXPUDZR/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":"2026-08-21T16:50:21Z","links":{"resolver":"https://pith.science/pith/G6LJ2S236EH6B3GBS6WLXPUDZR","bundle":"https://pith.science/pith/G6LJ2S236EH6B3GBS6WLXPUDZR/bundle.json","state":"https://pith.science/pith/G6LJ2S236EH6B3GBS6WLXPUDZR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G6LJ2S236EH6B3GBS6WLXPUDZR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:G6LJ2S236EH6B3GBS6WLXPUDZR","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":"2d7f6234a4659d52305e63d4ba60eed1689d5c5c706f64c505e4e1f4d9569782","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-19T04:48:36Z","title_canon_sha256":"4ce25a8f27319537454bb3abc19539da082e8c02cfd6d8a9c9af08318255436e"},"schema_version":"1.0","source":{"id":"2306.10698","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10698","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10698v6","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10698","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"pith_short_12","alias_value":"G6LJ2S236EH6","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"pith_short_16","alias_value":"G6LJ2S236EH6B3GB","created_at":"2026-07-05T07:52:58Z"},{"alias_kind":"pith_short_8","alias_value":"G6LJ2S23","created_at":"2026-07-05T07:52:58Z"}],"graph_snapshots":[{"event_id":"sha256:9856cce16779e09b7c0fba52a1edeecdaa18fedc9fdd4b3c8f93c9965e5ca28b","target":"graph","created_at":"2026-07-05T07:52:58Z","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/2306.10698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep reinforcement learning algorithms are usually impeded by sampling inefficiency, heavily depending on multiple interactions with the environment to acquire accurate decision-making capabilities. In contrast, humans rely on their hippocampus to retrieve relevant information from past experiences of relevant tasks, which guides their decision-making when learning a new task, rather than exclusively depending on environmental interactions. Nevertheless, designing a hippocampus-like module for an agent to incorporate past experiences into established reinforcement learning algorithms presents ","authors_text":"Chenxu Wang, Jie Fu, Junge Zhang, Liuyu Xiang, Tianyu Zheng, Yaodong Yang, Yonggang Jin, Zhaofeng He","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-19T04:48:36Z","title":"Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10698","kind":"arxiv","version":6},"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:c2042c6273266587a22466a1d513c365b402f72dadf1d5a5ddd424e76611182c","target":"record","created_at":"2026-07-05T07:52:58Z","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":"2d7f6234a4659d52305e63d4ba60eed1689d5c5c706f64c505e4e1f4d9569782","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-19T04:48:36Z","title_canon_sha256":"4ce25a8f27319537454bb3abc19539da082e8c02cfd6d8a9c9af08318255436e"},"schema_version":"1.0","source":{"id":"2306.10698","kind":"arxiv","version":6}},"canonical_sha256":"37969d4b5bf10fe0ecc197acbbbe83cc5e5df30fe7248e473ed088258054e95c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37969d4b5bf10fe0ecc197acbbbe83cc5e5df30fe7248e473ed088258054e95c","first_computed_at":"2026-07-05T07:52:58.240650Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:52:58.240650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FMxqJ+AS8Yi0EjyiiFLegIB2eWggrsaf8jLOtiI7i88qJxppkZUcNjP2FT7sCncpWSyPxKrlD3sMbWfp8axuDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:52:58.241095Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.10698","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2042c6273266587a22466a1d513c365b402f72dadf1d5a5ddd424e76611182c","sha256:9856cce16779e09b7c0fba52a1edeecdaa18fedc9fdd4b3c8f93c9965e5ca28b"],"state_sha256":"b026270e26cf7494316109ad575f9418df835a3d8c7a4fd7ce14940c5ce099bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GxmjJfhzB29Tdfs/lXCCFAzIskOyUyo6H7FOO/LrqlHY3HKieUiyKfXtbpzAuXWI8G3E5TMKvfn+B4XPYTeoCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T16:50:21.394469Z","bundle_sha256":"15efc2f3bcd00faf045c52a2006b23bb21606fe9c5718d4611aaeee7b7ed4ada"}}