{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:H57MBCJIQ6EQPFAINZ5WMVQW5B","short_pith_number":"pith:H57MBCJI","canonical_record":{"source":{"id":"2407.14714","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T00:45:03Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"8ef804dc82310a60d6cd53fe83ae5e3e3d065f7defed1bd2623d20dc091b0a52","abstract_canon_sha256":"b91cc37010cd8c92356a27ac98ec9c5dd1de9f3613e07683355b87392f5a833b"},"schema_version":"1.0"},"canonical_sha256":"3f7ec0892887890794086e7b665616e84b9fbaadc4ada2a9952ce261bed598da","source":{"kind":"arxiv","id":"2407.14714","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14714","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14714v1","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14714","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"pith_short_12","alias_value":"H57MBCJIQ6EQ","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"pith_short_16","alias_value":"H57MBCJIQ6EQPFAI","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"pith_short_8","alias_value":"H57MBCJI","created_at":"2026-07-05T08:46:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:H57MBCJIQ6EQPFAINZ5WMVQW5B","target":"record","payload":{"canonical_record":{"source":{"id":"2407.14714","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T00:45:03Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"8ef804dc82310a60d6cd53fe83ae5e3e3d065f7defed1bd2623d20dc091b0a52","abstract_canon_sha256":"b91cc37010cd8c92356a27ac98ec9c5dd1de9f3613e07683355b87392f5a833b"},"schema_version":"1.0"},"canonical_sha256":"3f7ec0892887890794086e7b665616e84b9fbaadc4ada2a9952ce261bed598da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:46:32.636668Z","signature_b64":"cnHmzEbZbHt5dHQIfZXM1cdHFN4fjd06bnDOgHVQDbUJjM2ggwSy7nPn4gyD4S7fQrKC9PkG3lSrdJejBDDhBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f7ec0892887890794086e7b665616e84b9fbaadc4ada2a9952ce261bed598da","last_reissued_at":"2026-07-05T08:46:32.636205Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:46:32.636205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.14714","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":"2026-07-05T08:46:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MwTbt2OZRXIu3jis2uH4URAHfvE6GIBYXHLOxqdFMxXNX9zFM2ya5hKsN15WPsJmifrXN66lGPtefIJ4hfcQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T07:27:38.250307Z"},"content_sha256":"d6d36bb2875a316a7aa49ea981269275719247c15f9828f78d7174300fbba6e8","schema_version":"1.0","event_id":"sha256:d6d36bb2875a316a7aa49ea981269275719247c15f9828f78d7174300fbba6e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:H57MBCJIQ6EQPFAINZ5WMVQW5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.AI","authors_text":"Florian Rupp, Johannes Maucher, Manuel Eberhardinger, Setareh Maghsudi","submitted_at":"2024-07-20T00:45:03Z","abstract_excerpt":"Despite tremendous progress, machine learning and deep learning still suffer from incomprehensible predictions. Incomprehensibility, however, is not an option for the use of (deep) reinforcement learning in the real world, as unpredictable actions can seriously harm the involved individuals. In this work, we propose a genetic programming framework to generate explanations for the decision-making process of already trained agents by imitating them with programs. Programs are interpretable and can be executed to generate explanations of why the agent chooses a particular action. Furthermore, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14714","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.14714/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":"2026-07-05T08:46:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aNqHqBHLteOV7VcqOlzT+/6zDy6dEosxJj5gtNsjVI3Cj/LY+z6h2FWoRmFSk+S0VZLrztDle+8N9F0wPSCgAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T07:27:38.250843Z"},"content_sha256":"08118a33314825931a87e262f8f6ceacd92f1b0f5186b6c1178f87b9b5bda846","schema_version":"1.0","event_id":"sha256:08118a33314825931a87e262f8f6ceacd92f1b0f5186b6c1178f87b9b5bda846"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B/bundle.json","state_url":"https://pith.science/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B/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":"2026-08-18T07:27:38Z","links":{"resolver":"https://pith.science/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B","bundle":"https://pith.science/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B/bundle.json","state":"https://pith.science/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H57MBCJIQ6EQPFAINZ5WMVQW5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H57MBCJIQ6EQPFAINZ5WMVQW5B","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":"b91cc37010cd8c92356a27ac98ec9c5dd1de9f3613e07683355b87392f5a833b","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T00:45:03Z","title_canon_sha256":"8ef804dc82310a60d6cd53fe83ae5e3e3d065f7defed1bd2623d20dc091b0a52"},"schema_version":"1.0","source":{"id":"2407.14714","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14714","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14714v1","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14714","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"pith_short_12","alias_value":"H57MBCJIQ6EQ","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"pith_short_16","alias_value":"H57MBCJIQ6EQPFAI","created_at":"2026-07-05T08:46:32Z"},{"alias_kind":"pith_short_8","alias_value":"H57MBCJI","created_at":"2026-07-05T08:46:32Z"}],"graph_snapshots":[{"event_id":"sha256:08118a33314825931a87e262f8f6ceacd92f1b0f5186b6c1178f87b9b5bda846","target":"graph","created_at":"2026-07-05T08:46:32Z","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/2407.14714/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite tremendous progress, machine learning and deep learning still suffer from incomprehensible predictions. Incomprehensibility, however, is not an option for the use of (deep) reinforcement learning in the real world, as unpredictable actions can seriously harm the involved individuals. In this work, we propose a genetic programming framework to generate explanations for the decision-making process of already trained agents by imitating them with programs. Programs are interpretable and can be executed to generate explanations of why the agent chooses a particular action. Furthermore, we ","authors_text":"Florian Rupp, Johannes Maucher, Manuel Eberhardinger, Setareh Maghsudi","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T00:45:03Z","title":"Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14714","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:d6d36bb2875a316a7aa49ea981269275719247c15f9828f78d7174300fbba6e8","target":"record","created_at":"2026-07-05T08:46:32Z","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":"b91cc37010cd8c92356a27ac98ec9c5dd1de9f3613e07683355b87392f5a833b","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-07-20T00:45:03Z","title_canon_sha256":"8ef804dc82310a60d6cd53fe83ae5e3e3d065f7defed1bd2623d20dc091b0a52"},"schema_version":"1.0","source":{"id":"2407.14714","kind":"arxiv","version":1}},"canonical_sha256":"3f7ec0892887890794086e7b665616e84b9fbaadc4ada2a9952ce261bed598da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f7ec0892887890794086e7b665616e84b9fbaadc4ada2a9952ce261bed598da","first_computed_at":"2026-07-05T08:46:32.636205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:32.636205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cnHmzEbZbHt5dHQIfZXM1cdHFN4fjd06bnDOgHVQDbUJjM2ggwSy7nPn4gyD4S7fQrKC9PkG3lSrdJejBDDhBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:32.636668Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14714","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6d36bb2875a316a7aa49ea981269275719247c15f9828f78d7174300fbba6e8","sha256:08118a33314825931a87e262f8f6ceacd92f1b0f5186b6c1178f87b9b5bda846"],"state_sha256":"0628625b847239e1c65aecc85647ddad61df99f629d6724ba3b5e78db569c9e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i8e6B1vOs7nMjytVdkvxHEcF5/eQzegY4Ox3n19MXLuV+IkYMnlyXN9brl9wQ4bWSjFr9Utg31O0ESPOivYoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T07:27:38.255290Z","bundle_sha256":"b0ecbe9b79054f809343e7dce9be280a88fe6595f4d89e47e91ecf2368eac62a"}}