{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3OLCKF2737DLXFJ3TT55DCOUIH","short_pith_number":"pith:3OLCKF27","canonical_record":{"source":{"id":"2305.15555","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-24T20:41:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dc11469158885c2b16f26133626f6d49ddfb7efc2a68eb1c48997f7b78aa4b42","abstract_canon_sha256":"e589ee084a44f7ab27f8ca4d4c396bdd564dd32fa644ec1b49b86fd875d09a33"},"schema_version":"1.0"},"canonical_sha256":"db9625175fdfc6bb953b9cfbd189d441c4035dca115c78213737654b47f84891","source":{"kind":"arxiv","id":"2305.15555","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.15555","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"arxiv_version","alias_value":"2305.15555v2","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.15555","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"pith_short_12","alias_value":"3OLCKF2737DL","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"pith_short_16","alias_value":"3OLCKF2737DLXFJ3","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"pith_short_8","alias_value":"3OLCKF27","created_at":"2026-07-05T06:56:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3OLCKF2737DLXFJ3TT55DCOUIH","target":"record","payload":{"canonical_record":{"source":{"id":"2305.15555","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-24T20:41:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dc11469158885c2b16f26133626f6d49ddfb7efc2a68eb1c48997f7b78aa4b42","abstract_canon_sha256":"e589ee084a44f7ab27f8ca4d4c396bdd564dd32fa644ec1b49b86fd875d09a33"},"schema_version":"1.0"},"canonical_sha256":"db9625175fdfc6bb953b9cfbd189d441c4035dca115c78213737654b47f84891","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:56:53.510256Z","signature_b64":"rnwM+vKbfo8DiA4tjKcKDUL4YgKIMGT1cRN/hrHI/VSYQqD/+LDLk2dIBUaOG2NToOW0a0mGRbxwzpAss2jDBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db9625175fdfc6bb953b9cfbd189d441c4035dca115c78213737654b47f84891","last_reissued_at":"2026-07-05T06:56:53.509761Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:56:53.509761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.15555","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:56:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QyYrrv9VLB6siNoHeW6uoDe8H6Sbs8fBVwluVwzsXtH5jyyue5+GMmfgUMGVG/txj4do4NebEbUR2aQtTzk5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:43:39.345877Z"},"content_sha256":"00d98988cca55b25844ed215f0f3564e89ca39ceeb9712349ea5db32bdb6f23d","schema_version":"1.0","event_id":"sha256:00d98988cca55b25844ed215f0f3564e89ca39ceeb9712349ea5db32bdb6f23d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3OLCKF2737DLXFJ3TT55DCOUIH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Reinforcement Learning with Plasticity Injection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Andr\\'e Barreto, Clare Lyle, Evgenii Nikishin, Georg Ostrovski, Junhyuk Oh, Razvan Pascanu, Will Dabney","submitted_at":"2023-05-24T20:41:35Z","abstract_excerpt":"A growing body of evidence suggests that neural networks employed in deep reinforcement learning (RL) gradually lose their plasticity, the ability to learn from new data; however, the analysis and mitigation of this phenomenon is hampered by the complex relationship between plasticity, exploration, and performance in RL. This paper introduces plasticity injection, a minimalistic intervention that increases the network plasticity without changing the number of trainable parameters or biasing the predictions. The applications of this intervention are two-fold: first, as a diagnostic tool $\\unico"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.15555","kind":"arxiv","version":2},"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/2305.15555/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":"2026-07-05T06:56:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x4CuAnFpuS+5vO9xTmvZaw4UG18bGC6KU1wAEdt4dk6gGZAMA4C5GWEhTc/MFhDCatuGpzmfimotJRKkGqenCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:43:39.346460Z"},"content_sha256":"d6833e3c32d1946a4b3773646a1d0f00f1087912a4b3f6c0526655e2aa9cdb1d","schema_version":"1.0","event_id":"sha256:d6833e3c32d1946a4b3773646a1d0f00f1087912a4b3f6c0526655e2aa9cdb1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3OLCKF2737DLXFJ3TT55DCOUIH/bundle.json","state_url":"https://pith.science/pith/3OLCKF2737DLXFJ3TT55DCOUIH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3OLCKF2737DLXFJ3TT55DCOUIH/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":"2026-08-07T16:43:39Z","links":{"resolver":"https://pith.science/pith/3OLCKF2737DLXFJ3TT55DCOUIH","bundle":"https://pith.science/pith/3OLCKF2737DLXFJ3TT55DCOUIH/bundle.json","state":"https://pith.science/pith/3OLCKF2737DLXFJ3TT55DCOUIH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3OLCKF2737DLXFJ3TT55DCOUIH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3OLCKF2737DLXFJ3TT55DCOUIH","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":"e589ee084a44f7ab27f8ca4d4c396bdd564dd32fa644ec1b49b86fd875d09a33","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-24T20:41:35Z","title_canon_sha256":"dc11469158885c2b16f26133626f6d49ddfb7efc2a68eb1c48997f7b78aa4b42"},"schema_version":"1.0","source":{"id":"2305.15555","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.15555","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"arxiv_version","alias_value":"2305.15555v2","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.15555","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"pith_short_12","alias_value":"3OLCKF2737DL","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"pith_short_16","alias_value":"3OLCKF2737DLXFJ3","created_at":"2026-07-05T06:56:53Z"},{"alias_kind":"pith_short_8","alias_value":"3OLCKF27","created_at":"2026-07-05T06:56:53Z"}],"graph_snapshots":[{"event_id":"sha256:d6833e3c32d1946a4b3773646a1d0f00f1087912a4b3f6c0526655e2aa9cdb1d","target":"graph","created_at":"2026-07-05T06:56:53Z","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/2305.15555/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A growing body of evidence suggests that neural networks employed in deep reinforcement learning (RL) gradually lose their plasticity, the ability to learn from new data; however, the analysis and mitigation of this phenomenon is hampered by the complex relationship between plasticity, exploration, and performance in RL. This paper introduces plasticity injection, a minimalistic intervention that increases the network plasticity without changing the number of trainable parameters or biasing the predictions. The applications of this intervention are two-fold: first, as a diagnostic tool $\\unico","authors_text":"Andr\\'e Barreto, Clare Lyle, Evgenii Nikishin, Georg Ostrovski, Junhyuk Oh, Razvan Pascanu, Will Dabney","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-24T20:41:35Z","title":"Deep Reinforcement Learning with Plasticity Injection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.15555","kind":"arxiv","version":2},"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":"sha256:00d98988cca55b25844ed215f0f3564e89ca39ceeb9712349ea5db32bdb6f23d","target":"record","created_at":"2026-07-05T06:56:53Z","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":"e589ee084a44f7ab27f8ca4d4c396bdd564dd32fa644ec1b49b86fd875d09a33","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-24T20:41:35Z","title_canon_sha256":"dc11469158885c2b16f26133626f6d49ddfb7efc2a68eb1c48997f7b78aa4b42"},"schema_version":"1.0","source":{"id":"2305.15555","kind":"arxiv","version":2}},"canonical_sha256":"db9625175fdfc6bb953b9cfbd189d441c4035dca115c78213737654b47f84891","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db9625175fdfc6bb953b9cfbd189d441c4035dca115c78213737654b47f84891","first_computed_at":"2026-07-05T06:56:53.509761Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:53.509761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rnwM+vKbfo8DiA4tjKcKDUL4YgKIMGT1cRN/hrHI/VSYQqD/+LDLk2dIBUaOG2NToOW0a0mGRbxwzpAss2jDBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:53.510256Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.15555","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00d98988cca55b25844ed215f0f3564e89ca39ceeb9712349ea5db32bdb6f23d","sha256:d6833e3c32d1946a4b3773646a1d0f00f1087912a4b3f6c0526655e2aa9cdb1d"],"state_sha256":"a4733e0a3f4834be84ad02962768c0f8d6249561d976d799e678ddc96632e711"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bvffvnvlK3Pv5k2llz3XbPkl4vJQybvV0ES2uzbOfsBAbq3eF8nP2ijOlyQ5XQ0bjLDSFlVO88MZ55q77EkYAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T16:43:39.350897Z","bundle_sha256":"e94fc157b59bbf4ea2311563ea177020fc5df2f9ddb9952acd95d23fc3c2674b"}}