{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WS4KFLHCUXUKL763E5KVSEASJY","short_pith_number":"pith:WS4KFLHC","canonical_record":{"source":{"id":"2402.03479","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-05T19:47:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ff7ad3ec3ba4266fa1902d4ce0a481fc2f761bee54331d3ae3aba3c056e43790","abstract_canon_sha256":"99db8cdee38b1eb7caa66d79af720b96ee5def4f8914a46bd85e7051182764a8"},"schema_version":"1.0"},"canonical_sha256":"b4b8a2ace2a5e8a5ffdb27555910124e3c31287b28c8bd6e1545bbbee5a939c8","source":{"kind":"arxiv","id":"2402.03479","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03479","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03479v4","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03479","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"pith_short_12","alias_value":"WS4KFLHCUXUK","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"pith_short_16","alias_value":"WS4KFLHCUXUKL763","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"pith_short_8","alias_value":"WS4KFLHC","created_at":"2026-07-05T08:31:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WS4KFLHCUXUKL763E5KVSEASJY","target":"record","payload":{"canonical_record":{"source":{"id":"2402.03479","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-05T19:47:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ff7ad3ec3ba4266fa1902d4ce0a481fc2f761bee54331d3ae3aba3c056e43790","abstract_canon_sha256":"99db8cdee38b1eb7caa66d79af720b96ee5def4f8914a46bd85e7051182764a8"},"schema_version":"1.0"},"canonical_sha256":"b4b8a2ace2a5e8a5ffdb27555910124e3c31287b28c8bd6e1545bbbee5a939c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:31:48.099346Z","signature_b64":"28A8gHkfya5Ns46YQRqTVqaMEaArNcYREqmshDAYzghXA50m4nBjwfeHfUAbUEP8qEuWxJ7Tx38SMMjPUb5MCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b4b8a2ace2a5e8a5ffdb27555910124e3c31287b28c8bd6e1545bbbee5a939c8","last_reissued_at":"2026-07-05T08:31:48.098912Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:31:48.098912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.03479","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:31:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9w2jw3Lx1+kryUyQ16mvOp2L1e/ey3d9I05xF4G3Iuz4jkkEoUUfyNfFAZjHbrVpiUvj2LimPtlfwUY94I0dBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T22:14:49.356006Z"},"content_sha256":"52a0679834b6b35db4e366a28f8fa0e84a483a33a3754ae5853fdb639aff8582","schema_version":"1.0","event_id":"sha256:52a0679834b6b35db4e366a28f8fa0e84a483a33a3754ae5853fdb639aff8582"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WS4KFLHCUXUKL763E5KVSEASJY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Christopher G. Lucas, James Doran, Samuel Garcin, Shangmin Guo, Stefano V. Albrecht","submitted_at":"2024-02-05T19:47:45Z","abstract_excerpt":"Autonomous agents trained using deep reinforcement learning (RL) often lack the ability to successfully generalise to new environments, even when these environments share characteristics with the ones they have encountered during training. In this work, we investigate how the sampling of individual environment instances, or levels, affects the zero-shot generalisation (ZSG) ability of RL agents. We discover that, for deep actor-critic architectures sharing their base layers, prioritising levels according to their value loss minimises the mutual information between the agent's internal represen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03479","kind":"arxiv","version":4},"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/2402.03479/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":"2026-07-05T08:31:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WtS0IKBm01hnTOsXUZrsx5SlJAsO6z9/nto1hUrkeF7FTICmOQINGlI4qaz7vd2jy3pOsrvOy1DTyF17QmnNBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T22:14:49.356995Z"},"content_sha256":"281e47653641bd5a6d77bee1da0d3ce6f3a9b5bb550de3e1fb2fad9538c79c55","schema_version":"1.0","event_id":"sha256:281e47653641bd5a6d77bee1da0d3ce6f3a9b5bb550de3e1fb2fad9538c79c55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WS4KFLHCUXUKL763E5KVSEASJY/bundle.json","state_url":"https://pith.science/pith/WS4KFLHCUXUKL763E5KVSEASJY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WS4KFLHCUXUKL763E5KVSEASJY/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":"2026-08-10T22:14:49Z","links":{"resolver":"https://pith.science/pith/WS4KFLHCUXUKL763E5KVSEASJY","bundle":"https://pith.science/pith/WS4KFLHCUXUKL763E5KVSEASJY/bundle.json","state":"https://pith.science/pith/WS4KFLHCUXUKL763E5KVSEASJY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WS4KFLHCUXUKL763E5KVSEASJY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WS4KFLHCUXUKL763E5KVSEASJY","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":"99db8cdee38b1eb7caa66d79af720b96ee5def4f8914a46bd85e7051182764a8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-05T19:47:45Z","title_canon_sha256":"ff7ad3ec3ba4266fa1902d4ce0a481fc2f761bee54331d3ae3aba3c056e43790"},"schema_version":"1.0","source":{"id":"2402.03479","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03479","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03479v4","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03479","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"pith_short_12","alias_value":"WS4KFLHCUXUK","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"pith_short_16","alias_value":"WS4KFLHCUXUKL763","created_at":"2026-07-05T08:31:48Z"},{"alias_kind":"pith_short_8","alias_value":"WS4KFLHC","created_at":"2026-07-05T08:31:48Z"}],"graph_snapshots":[{"event_id":"sha256:281e47653641bd5a6d77bee1da0d3ce6f3a9b5bb550de3e1fb2fad9538c79c55","target":"graph","created_at":"2026-07-05T08:31:48Z","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/2402.03479/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous agents trained using deep reinforcement learning (RL) often lack the ability to successfully generalise to new environments, even when these environments share characteristics with the ones they have encountered during training. In this work, we investigate how the sampling of individual environment instances, or levels, affects the zero-shot generalisation (ZSG) ability of RL agents. We discover that, for deep actor-critic architectures sharing their base layers, prioritising levels according to their value loss minimises the mutual information between the agent's internal represen","authors_text":"Christopher G. Lucas, James Doran, Samuel Garcin, Shangmin Guo, Stefano V. Albrecht","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-05T19:47:45Z","title":"DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03479","kind":"arxiv","version":4},"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":"sha256:52a0679834b6b35db4e366a28f8fa0e84a483a33a3754ae5853fdb639aff8582","target":"record","created_at":"2026-07-05T08:31:48Z","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":"99db8cdee38b1eb7caa66d79af720b96ee5def4f8914a46bd85e7051182764a8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-05T19:47:45Z","title_canon_sha256":"ff7ad3ec3ba4266fa1902d4ce0a481fc2f761bee54331d3ae3aba3c056e43790"},"schema_version":"1.0","source":{"id":"2402.03479","kind":"arxiv","version":4}},"canonical_sha256":"b4b8a2ace2a5e8a5ffdb27555910124e3c31287b28c8bd6e1545bbbee5a939c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4b8a2ace2a5e8a5ffdb27555910124e3c31287b28c8bd6e1545bbbee5a939c8","first_computed_at":"2026-07-05T08:31:48.098912Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:31:48.098912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"28A8gHkfya5Ns46YQRqTVqaMEaArNcYREqmshDAYzghXA50m4nBjwfeHfUAbUEP8qEuWxJ7Tx38SMMjPUb5MCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:31:48.099346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.03479","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52a0679834b6b35db4e366a28f8fa0e84a483a33a3754ae5853fdb639aff8582","sha256:281e47653641bd5a6d77bee1da0d3ce6f3a9b5bb550de3e1fb2fad9538c79c55"],"state_sha256":"46b12489ec422fac302a3fcc2720d777a74a628b35f78805037b5dc5177c7f93"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RXDC6NF3C85wXrd7y+OhRsdTa8jzyyYCqb5G9KH82iP6P9UDF8bkoENV4OuNc4DzDYG8+4TS5d/tC8ELzVWhAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T22:14:49.363571Z","bundle_sha256":"c391d1d3a63345db88065ff98f3149cbb6bb747e68bf12526c24c7f166e6367a"}}