{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:IZ27QCRREIU37KX7F2J7J3F5Z5","short_pith_number":"pith:IZ27QCRR","canonical_record":{"source":{"id":"1805.01141","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-05-03T07:21:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"17c62185f8ca97157ae585b2ceac515b013dd000bea11fb38a2ec616ce1b02a0","abstract_canon_sha256":"98d69d113067b4504ae540ac622282572e9ff583184297db4145a6aeb5c875b2"},"schema_version":"1.0"},"canonical_sha256":"4675f80a312229bfaaff2e93f4ecbdcf5ccc61ec2834a7e309e46cfc85d0d449","source":{"kind":"arxiv","id":"1805.01141","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01141","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01141v1","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01141","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"IZ27QCRREIU3","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"IZ27QCRREIU37KX7","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"IZ27QCRR","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:IZ27QCRREIU37KX7F2J7J3F5Z5","target":"record","payload":{"canonical_record":{"source":{"id":"1805.01141","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-05-03T07:21:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"17c62185f8ca97157ae585b2ceac515b013dd000bea11fb38a2ec616ce1b02a0","abstract_canon_sha256":"98d69d113067b4504ae540ac622282572e9ff583184297db4145a6aeb5c875b2"},"schema_version":"1.0"},"canonical_sha256":"4675f80a312229bfaaff2e93f4ecbdcf5ccc61ec2834a7e309e46cfc85d0d449","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:52.432311Z","signature_b64":"oQ1E8RYwbhCcrLfMLefgARqb2H+IEPa6+P5CuMNjluKyA1hgzNknPnOx6UWevAMQE1HOj4hqah9vtePuSgCODw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4675f80a312229bfaaff2e93f4ecbdcf5ccc61ec2834a7e309e46cfc85d0d449","last_reissued_at":"2026-05-18T00:16:52.431790Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:52.431790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.01141","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":"2026-05-18T00:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k+vnTsUuEaCrOtL721FCyEoA//YjPxRKbXsuSz0lMoyufX9YqH1MEsyL9dmdY3fdGSQOiSGzQLDOx7hx+Q+eBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T03:10:18.704157Z"},"content_sha256":"1ed7a1899c9be8a42a974d19d8e8126439f314f582512bad986cc31b05160331","schema_version":"1.0","event_id":"sha256:1ed7a1899c9be8a42a974d19d8e8126439f314f582512bad986cc31b05160331"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:IZ27QCRREIU37KX7F2J7J3F5Z5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Jeff Clune, Kenneth O. Stanley, Rui Wang","submitted_at":"2018-05-03T07:21:43Z","abstract_excerpt":"Recent advances in deep neuroevolution have demonstrated that evolutionary algorithms, such as evolution strategies (ES) and genetic algorithms (GA), can scale to train deep neural networks to solve difficult reinforcement learning (RL) problems. However, it remains a challenge to analyze and interpret the underlying process of neuroevolution in such high dimensions. To begin to address this challenge, this paper presents an interactive data visualization tool called VINE (Visual Inspector for NeuroEvolution) aimed at helping neuroevolution researchers and end-users better understand and explo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01141","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":""},"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":"2026-05-18T00:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SYPu98BWE0fHGkzRPrd3+Mwvf2+p0rua3mMzeuTBZ942C2audP5v3MgmCi7BHwWMIOYBGj9cc0QhuTUvMBs5Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T03:10:18.704531Z"},"content_sha256":"90871506de38a4997ba51d851961dbbfdf5b4d4543f041818967268ac5e69d49","schema_version":"1.0","event_id":"sha256:90871506de38a4997ba51d851961dbbfdf5b4d4543f041818967268ac5e69d49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IZ27QCRREIU37KX7F2J7J3F5Z5/bundle.json","state_url":"https://pith.science/pith/IZ27QCRREIU37KX7F2J7J3F5Z5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IZ27QCRREIU37KX7F2J7J3F5Z5/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":"2026-06-01T03:10:18Z","links":{"resolver":"https://pith.science/pith/IZ27QCRREIU37KX7F2J7J3F5Z5","bundle":"https://pith.science/pith/IZ27QCRREIU37KX7F2J7J3F5Z5/bundle.json","state":"https://pith.science/pith/IZ27QCRREIU37KX7F2J7J3F5Z5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IZ27QCRREIU37KX7F2J7J3F5Z5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IZ27QCRREIU37KX7F2J7J3F5Z5","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":"98d69d113067b4504ae540ac622282572e9ff583184297db4145a6aeb5c875b2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-05-03T07:21:43Z","title_canon_sha256":"17c62185f8ca97157ae585b2ceac515b013dd000bea11fb38a2ec616ce1b02a0"},"schema_version":"1.0","source":{"id":"1805.01141","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01141","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01141v1","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01141","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"IZ27QCRREIU3","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"IZ27QCRREIU37KX7","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"IZ27QCRR","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:90871506de38a4997ba51d851961dbbfdf5b4d4543f041818967268ac5e69d49","target":"graph","created_at":"2026-05-18T00:16:52Z","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"},"paper":{"abstract_excerpt":"Recent advances in deep neuroevolution have demonstrated that evolutionary algorithms, such as evolution strategies (ES) and genetic algorithms (GA), can scale to train deep neural networks to solve difficult reinforcement learning (RL) problems. However, it remains a challenge to analyze and interpret the underlying process of neuroevolution in such high dimensions. To begin to address this challenge, this paper presents an interactive data visualization tool called VINE (Visual Inspector for NeuroEvolution) aimed at helping neuroevolution researchers and end-users better understand and explo","authors_text":"Jeff Clune, Kenneth O. Stanley, Rui Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-05-03T07:21:43Z","title":"VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01141","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":"sha256:1ed7a1899c9be8a42a974d19d8e8126439f314f582512bad986cc31b05160331","target":"record","created_at":"2026-05-18T00:16:52Z","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":"98d69d113067b4504ae540ac622282572e9ff583184297db4145a6aeb5c875b2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-05-03T07:21:43Z","title_canon_sha256":"17c62185f8ca97157ae585b2ceac515b013dd000bea11fb38a2ec616ce1b02a0"},"schema_version":"1.0","source":{"id":"1805.01141","kind":"arxiv","version":1}},"canonical_sha256":"4675f80a312229bfaaff2e93f4ecbdcf5ccc61ec2834a7e309e46cfc85d0d449","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4675f80a312229bfaaff2e93f4ecbdcf5ccc61ec2834a7e309e46cfc85d0d449","first_computed_at":"2026-05-18T00:16:52.431790Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:52.431790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oQ1E8RYwbhCcrLfMLefgARqb2H+IEPa6+P5CuMNjluKyA1hgzNknPnOx6UWevAMQE1HOj4hqah9vtePuSgCODw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:52.432311Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.01141","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ed7a1899c9be8a42a974d19d8e8126439f314f582512bad986cc31b05160331","sha256:90871506de38a4997ba51d851961dbbfdf5b4d4543f041818967268ac5e69d49"],"state_sha256":"778ba738e017fe827366736b3fc90115ecc451801d661564d172ff3c8aa9fa32"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kwmlDOStSsdVHqOGcKzGBUVjFKuoqT91ZUoimNY4TMyD8mJAJ0sLaPKA9r1+FjG7CtUAdjJqGijQdjGpEMykCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T03:10:18.706835Z","bundle_sha256":"b8ef35bf66ef1a3c85cd27f7c3c6ec0a30736079919e9809d7eed2e445e75a6a"}}