{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WSM3N7XPMUK5DFBHI427IQOVZX","short_pith_number":"pith:WSM3N7XP","canonical_record":{"source":{"id":"2303.14693","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-26T11:42:49Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"title_canon_sha256":"c99f89711e415606eff7eebbfae8a128774c4da88e3f31d611bb1bd580a9387e","abstract_canon_sha256":"7f8cc6c4ac5cac8287c40be9f90db267888c6456674e62fb940e919fcb795db9"},"schema_version":"1.0"},"canonical_sha256":"b499b6feef6515d194274735f441d5cdd7269f2c126953a6f5ef19ef346fcfd5","source":{"kind":"arxiv","id":"2303.14693","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.14693","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"arxiv_version","alias_value":"2303.14693v2","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.14693","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"pith_short_12","alias_value":"WSM3N7XPMUK5","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"pith_short_16","alias_value":"WSM3N7XPMUK5DFBH","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"pith_short_8","alias_value":"WSM3N7XP","created_at":"2026-07-05T06:21:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WSM3N7XPMUK5DFBHI427IQOVZX","target":"record","payload":{"canonical_record":{"source":{"id":"2303.14693","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-26T11:42:49Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"title_canon_sha256":"c99f89711e415606eff7eebbfae8a128774c4da88e3f31d611bb1bd580a9387e","abstract_canon_sha256":"7f8cc6c4ac5cac8287c40be9f90db267888c6456674e62fb940e919fcb795db9"},"schema_version":"1.0"},"canonical_sha256":"b499b6feef6515d194274735f441d5cdd7269f2c126953a6f5ef19ef346fcfd5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:21:16.375442Z","signature_b64":"rriYacuv4bMQyImyB1z4GSHkYequgyVzYTeDb5oIlQrND3sLZHRsdIrGft9deousEFSqSSSZcfNRIPytBkTwAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b499b6feef6515d194274735f441d5cdd7269f2c126953a6f5ef19ef346fcfd5","last_reissued_at":"2026-07-05T06:21:16.374963Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:21:16.374963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.14693","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":"2026-07-05T06:21:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EpUYR2dtP1Sw0Hhf6o3d7feHx4jh9f0qY2QFjFwl/WNVBA/IdDJhaVUXOSY7AaarfZh2LzCmVaM8sYWuHJi3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:52:40.674340Z"},"content_sha256":"3c8c901532ab95f16214b0a754bb4ff6786516d2d2e0fa920754bf2221eeb6cb","schema_version":"1.0","event_id":"sha256:3c8c901532ab95f16214b0a754bb4ff6786516d2d2e0fa920754bf2221eeb6cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WSM3N7XPMUK5DFBHI427IQOVZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robotic Packaging Optimization with Reinforcement Learning","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Cosimo Della Santina, Eveline Drijver, Jens Kober, Rodrigo P\\'erez-Dattari, Zlatan Ajanovi\\'c","submitted_at":"2023-03-26T11:42:49Z","abstract_excerpt":"Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automated secondary robotic food packaging solutions that transfer food products from the conveyor belt into containers. A major problem in these solutions is varying product supply which can cause drastic productivity drops. Conventional rule-based approaches, used to address this issue, are often inadequate, leading to violation of the industry's requirements. Reinforcement learning, on the other hand,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.14693","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/2303.14693/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":"2026-07-05T06:21:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U7eq2bN9+gbwmZ2j0Lz3kipU10d9Ah6vCHFwyulPhCN1YMbIhlCFSJZD5YJo/SbLUVIzvabhcZUx+QI5OkGkAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:52:40.674876Z"},"content_sha256":"6c97c5a724c8c351e211264481166cb705b01b2c7967da635f24d102a08e7765","schema_version":"1.0","event_id":"sha256:6c97c5a724c8c351e211264481166cb705b01b2c7967da635f24d102a08e7765"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WSM3N7XPMUK5DFBHI427IQOVZX/bundle.json","state_url":"https://pith.science/pith/WSM3N7XPMUK5DFBHI427IQOVZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WSM3N7XPMUK5DFBHI427IQOVZX/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":"2026-08-11T08:52:40Z","links":{"resolver":"https://pith.science/pith/WSM3N7XPMUK5DFBHI427IQOVZX","bundle":"https://pith.science/pith/WSM3N7XPMUK5DFBHI427IQOVZX/bundle.json","state":"https://pith.science/pith/WSM3N7XPMUK5DFBHI427IQOVZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WSM3N7XPMUK5DFBHI427IQOVZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WSM3N7XPMUK5DFBHI427IQOVZX","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":"7f8cc6c4ac5cac8287c40be9f90db267888c6456674e62fb940e919fcb795db9","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-26T11:42:49Z","title_canon_sha256":"c99f89711e415606eff7eebbfae8a128774c4da88e3f31d611bb1bd580a9387e"},"schema_version":"1.0","source":{"id":"2303.14693","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.14693","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"arxiv_version","alias_value":"2303.14693v2","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.14693","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"pith_short_12","alias_value":"WSM3N7XPMUK5","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"pith_short_16","alias_value":"WSM3N7XPMUK5DFBH","created_at":"2026-07-05T06:21:16Z"},{"alias_kind":"pith_short_8","alias_value":"WSM3N7XP","created_at":"2026-07-05T06:21:16Z"}],"graph_snapshots":[{"event_id":"sha256:6c97c5a724c8c351e211264481166cb705b01b2c7967da635f24d102a08e7765","target":"graph","created_at":"2026-07-05T06:21:16Z","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/2303.14693/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automated secondary robotic food packaging solutions that transfer food products from the conveyor belt into containers. A major problem in these solutions is varying product supply which can cause drastic productivity drops. Conventional rule-based approaches, used to address this issue, are often inadequate, leading to violation of the industry's requirements. Reinforcement learning, on the other hand,","authors_text":"Cosimo Della Santina, Eveline Drijver, Jens Kober, Rodrigo P\\'erez-Dattari, Zlatan Ajanovi\\'c","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-26T11:42:49Z","title":"Robotic Packaging Optimization with Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.14693","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":"sha256:3c8c901532ab95f16214b0a754bb4ff6786516d2d2e0fa920754bf2221eeb6cb","target":"record","created_at":"2026-07-05T06:21:16Z","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":"7f8cc6c4ac5cac8287c40be9f90db267888c6456674e62fb940e919fcb795db9","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-26T11:42:49Z","title_canon_sha256":"c99f89711e415606eff7eebbfae8a128774c4da88e3f31d611bb1bd580a9387e"},"schema_version":"1.0","source":{"id":"2303.14693","kind":"arxiv","version":2}},"canonical_sha256":"b499b6feef6515d194274735f441d5cdd7269f2c126953a6f5ef19ef346fcfd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b499b6feef6515d194274735f441d5cdd7269f2c126953a6f5ef19ef346fcfd5","first_computed_at":"2026-07-05T06:21:16.374963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:21:16.374963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rriYacuv4bMQyImyB1z4GSHkYequgyVzYTeDb5oIlQrND3sLZHRsdIrGft9deousEFSqSSSZcfNRIPytBkTwAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:21:16.375442Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.14693","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c8c901532ab95f16214b0a754bb4ff6786516d2d2e0fa920754bf2221eeb6cb","sha256:6c97c5a724c8c351e211264481166cb705b01b2c7967da635f24d102a08e7765"],"state_sha256":"76cc80c6f1b04ebe100d9efe93580c42d3d2c9bb11ec2a6cf56fc7761fe6264e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7qfePKcjcx9LPK9jPdX/yRyqi66tIlJADD18IUFczkaOvTyvyWXG2AvNOZrAyBTdAWsBX01YXfiSVt3bP4V/CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:52:40.680131Z","bundle_sha256":"9a474c5df5e0ddd4081ae53955133a898228e81946969625726bb27165f4d01b"}}