{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:F6YRBR4KKNE6SK3PSVZB6OACPS","short_pith_number":"pith:F6YRBR4K","canonical_record":{"source":{"id":"1309.6989","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-09-26T17:44:59Z","cross_cats_sorted":[],"title_canon_sha256":"1deaa01274b3e06907a88dd43904a7440276ec30fe0733135bd04328ff865bca","abstract_canon_sha256":"aa0879a6082d6348041cf1caf2fe7bdc0d2b4de287d401816507259ecba717b5"},"schema_version":"1.0"},"canonical_sha256":"2fb110c78a5349e92b6f95721f38027cadc8f340c297eff039d79f5db1872063","source":{"kind":"arxiv","id":"1309.6989","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1309.6989","created_at":"2026-05-18T03:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"1309.6989v1","created_at":"2026-05-18T03:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.6989","created_at":"2026-05-18T03:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"F6YRBR4KKNE6","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_16","alias_value":"F6YRBR4KKNE6SK3P","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_8","alias_value":"F6YRBR4K","created_at":"2026-05-18T12:27:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:F6YRBR4KKNE6SK3PSVZB6OACPS","target":"record","payload":{"canonical_record":{"source":{"id":"1309.6989","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-09-26T17:44:59Z","cross_cats_sorted":[],"title_canon_sha256":"1deaa01274b3e06907a88dd43904a7440276ec30fe0733135bd04328ff865bca","abstract_canon_sha256":"aa0879a6082d6348041cf1caf2fe7bdc0d2b4de287d401816507259ecba717b5"},"schema_version":"1.0"},"canonical_sha256":"2fb110c78a5349e92b6f95721f38027cadc8f340c297eff039d79f5db1872063","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:12:09.566329Z","signature_b64":"xz2bFTjFJ6OqBNfv8HMB5i9pdr8awU4w00SU4qPZXxQmaCYsOoql6CI00LXZi3riPOaCR6lMrRDK9Npu24LnAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2fb110c78a5349e92b6f95721f38027cadc8f340c297eff039d79f5db1872063","last_reissued_at":"2026-05-18T03:12:09.565528Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:12:09.565528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1309.6989","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":"2026-05-18T03:12:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4k303NinFc2BqL34CFE+77Nl0w1ul+DK2fZrSgKZFzh8QWTlJova2X2ib8XRmse5ez7Kmb/C70GJX2oX/PhmCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T15:30:50.681194Z"},"content_sha256":"7429292fc3bf75065f8d10d9013823331d19a701ad2fcafac85f75431acd817d","schema_version":"1.0","event_id":"sha256:7429292fc3bf75065f8d10d9013823331d19a701ad2fcafac85f75431acd817d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:F6YRBR4KKNE6SK3PSVZB6OACPS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Georg Martius, Keyan Zahedi, Nihat Ay","submitted_at":"2013-09-26T17:44:59Z","abstract_excerpt":"One of the main challenges in the field of embodied artificial intelligence is the open-ended autonomous learning of complex behaviours. Our approach is to use task-independent, information-driven intrinsic motivation(s) to support task-dependent learning. The work presented here is a preliminary step in which we investigate the predictive information (the mutual information of the past and future of the sensor stream) as an intrinsic drive, ideally supporting any kind of task acquisition. Previous experiments have shown that the predictive information (PI) is a good candidate to support auton"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.6989","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":"2026-05-18T03:12:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1nJw7yTxPc8vORE9UCOy/dXUc/7b3UDjcdzv9Jdl3qz6qtRzZ0u0LDKRkaO07zAS9PQv6XRa2n5uoh7J/4u0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T15:30:50.681567Z"},"content_sha256":"59e8a136b85d2c4115bdf8fd74ab0255daf12ec98cf3a03380d62ad1ea930060","schema_version":"1.0","event_id":"sha256:59e8a136b85d2c4115bdf8fd74ab0255daf12ec98cf3a03380d62ad1ea930060"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F6YRBR4KKNE6SK3PSVZB6OACPS/bundle.json","state_url":"https://pith.science/pith/F6YRBR4KKNE6SK3PSVZB6OACPS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F6YRBR4KKNE6SK3PSVZB6OACPS/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":"2026-06-01T15:30:50Z","links":{"resolver":"https://pith.science/pith/F6YRBR4KKNE6SK3PSVZB6OACPS","bundle":"https://pith.science/pith/F6YRBR4KKNE6SK3PSVZB6OACPS/bundle.json","state":"https://pith.science/pith/F6YRBR4KKNE6SK3PSVZB6OACPS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F6YRBR4KKNE6SK3PSVZB6OACPS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:F6YRBR4KKNE6SK3PSVZB6OACPS","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":"aa0879a6082d6348041cf1caf2fe7bdc0d2b4de287d401816507259ecba717b5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-09-26T17:44:59Z","title_canon_sha256":"1deaa01274b3e06907a88dd43904a7440276ec30fe0733135bd04328ff865bca"},"schema_version":"1.0","source":{"id":"1309.6989","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1309.6989","created_at":"2026-05-18T03:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"1309.6989v1","created_at":"2026-05-18T03:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.6989","created_at":"2026-05-18T03:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"F6YRBR4KKNE6","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_16","alias_value":"F6YRBR4KKNE6SK3P","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_8","alias_value":"F6YRBR4K","created_at":"2026-05-18T12:27:45Z"}],"graph_snapshots":[{"event_id":"sha256:59e8a136b85d2c4115bdf8fd74ab0255daf12ec98cf3a03380d62ad1ea930060","target":"graph","created_at":"2026-05-18T03:12:09Z","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":"One of the main challenges in the field of embodied artificial intelligence is the open-ended autonomous learning of complex behaviours. Our approach is to use task-independent, information-driven intrinsic motivation(s) to support task-dependent learning. The work presented here is a preliminary step in which we investigate the predictive information (the mutual information of the past and future of the sensor stream) as an intrinsic drive, ideally supporting any kind of task acquisition. Previous experiments have shown that the predictive information (PI) is a good candidate to support auton","authors_text":"Georg Martius, Keyan Zahedi, Nihat Ay","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-09-26T17:44:59Z","title":"Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.6989","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":"sha256:7429292fc3bf75065f8d10d9013823331d19a701ad2fcafac85f75431acd817d","target":"record","created_at":"2026-05-18T03:12:09Z","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":"aa0879a6082d6348041cf1caf2fe7bdc0d2b4de287d401816507259ecba717b5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-09-26T17:44:59Z","title_canon_sha256":"1deaa01274b3e06907a88dd43904a7440276ec30fe0733135bd04328ff865bca"},"schema_version":"1.0","source":{"id":"1309.6989","kind":"arxiv","version":1}},"canonical_sha256":"2fb110c78a5349e92b6f95721f38027cadc8f340c297eff039d79f5db1872063","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fb110c78a5349e92b6f95721f38027cadc8f340c297eff039d79f5db1872063","first_computed_at":"2026-05-18T03:12:09.565528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:12:09.565528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xz2bFTjFJ6OqBNfv8HMB5i9pdr8awU4w00SU4qPZXxQmaCYsOoql6CI00LXZi3riPOaCR6lMrRDK9Npu24LnAg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:12:09.566329Z","signed_message":"canonical_sha256_bytes"},"source_id":"1309.6989","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7429292fc3bf75065f8d10d9013823331d19a701ad2fcafac85f75431acd817d","sha256:59e8a136b85d2c4115bdf8fd74ab0255daf12ec98cf3a03380d62ad1ea930060"],"state_sha256":"5bcf80b0dbc5859c4e848fc1b70b28f6a83a5fb3cb5e6d4b98bd496d639fb19c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bab0KoHvp3A/EiVUnjjdzzNB6WfJkNxr7JkCEhClcSovjMnsK99HPpMhutlj9J7UeD1EJ0UKbc7SmN8m6itlBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T15:30:50.683488Z","bundle_sha256":"23f241747f8c410ccc4debe95015bc2b46e86fbbd08335d9eb89fbb449857dc6"}}