{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:Q722VM5GFO37P6344I662PCD6A","short_pith_number":"pith:Q722VM5G","canonical_record":{"source":{"id":"2107.04333","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-09T10:00:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0db84ef1976865b5cc1fd7a36b04be743b356b03fc3b209e0eb644a998bb9d76","abstract_canon_sha256":"0559b6b3760a20ca31b309363a8295f549fab84f4f279fea0ea94ce8e8d1c406"},"schema_version":"1.0"},"canonical_sha256":"87f5aab3a62bb7f7fb7ce23ded3c43f03baffeeb245333bac1cc7522614ff6fd","source":{"kind":"arxiv","id":"2107.04333","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.04333","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"arxiv_version","alias_value":"2107.04333v2","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.04333","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_12","alias_value":"Q722VM5GFO37","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_16","alias_value":"Q722VM5GFO37P634","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_8","alias_value":"Q722VM5G","created_at":"2026-07-05T03:02:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:Q722VM5GFO37P6344I662PCD6A","target":"record","payload":{"canonical_record":{"source":{"id":"2107.04333","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-09T10:00:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0db84ef1976865b5cc1fd7a36b04be743b356b03fc3b209e0eb644a998bb9d76","abstract_canon_sha256":"0559b6b3760a20ca31b309363a8295f549fab84f4f279fea0ea94ce8e8d1c406"},"schema_version":"1.0"},"canonical_sha256":"87f5aab3a62bb7f7fb7ce23ded3c43f03baffeeb245333bac1cc7522614ff6fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:02:16.798144Z","signature_b64":"IxT7q7ZhAdD2IKSkGziPvSkmN7CPJbM1yZrWE2k8Pps7HiYz+P6Dt6olJe0GT+7Ke4AGgbzWcpt9P7Bksm+rDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87f5aab3a62bb7f7fb7ce23ded3c43f03baffeeb245333bac1cc7522614ff6fd","last_reissued_at":"2026-07-05T03:02:16.797749Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:02:16.797749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.04333","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":"2026-07-05T03:02:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FKXJICMZRFXksahArSkte/kdHsKJbSmJobPeF6CpaUpt7jENy4V16m37EfeZ4o7YLWbvVcEJSfL+Od/whF32DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T00:23:48.290352Z"},"content_sha256":"a1111dfb4c23e81c13b659a6316c3d42fb9268b874d766b18081100a369c25bc","schema_version":"1.0","event_id":"sha256:a1111dfb4c23e81c13b659a6316c3d42fb9268b874d766b18081100a369c25bc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:Q722VM5GFO37P6344I662PCD6A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Bin Zi, Jingwei Zhang, Xiaoyu Ge","submitted_at":"2021-07-09T10:00:30Z","abstract_excerpt":"This paper seeks to tackle the bin packing problem (BPP) through a learning perspective. Building on self-attention-based encoding and deep reinforcement learning algorithms, we propose a new end-to-end learning model for this task of interest. By decomposing the combinatorial action space, as well as utilizing a new training technique denoted as prioritized oversampling, which is a general scheme to speed up on-policy learning, we achieve state-of-the-art performance in a range of experimental settings. Moreover, although the proposed approach attend2pack targets offline-BPP, we strip our met"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.04333","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/2107.04333/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":"2026-07-05T03:02:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eq4M3SyHU8gE9Yzg21hefamsv7T4R+zLoL3MJR6KG3UyjCRgiZLlCuL0sjoJ+P6zCmKPfbKY3E0TR1BxXaJSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T00:23:48.290922Z"},"content_sha256":"4f275bbbf6003e15ef87cadaaa76749c5c159e0475c7732f791baa89e920267d","schema_version":"1.0","event_id":"sha256:4f275bbbf6003e15ef87cadaaa76749c5c159e0475c7732f791baa89e920267d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q722VM5GFO37P6344I662PCD6A/bundle.json","state_url":"https://pith.science/pith/Q722VM5GFO37P6344I662PCD6A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q722VM5GFO37P6344I662PCD6A/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":"2026-08-03T00:23:48Z","links":{"resolver":"https://pith.science/pith/Q722VM5GFO37P6344I662PCD6A","bundle":"https://pith.science/pith/Q722VM5GFO37P6344I662PCD6A/bundle.json","state":"https://pith.science/pith/Q722VM5GFO37P6344I662PCD6A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q722VM5GFO37P6344I662PCD6A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:Q722VM5GFO37P6344I662PCD6A","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":"0559b6b3760a20ca31b309363a8295f549fab84f4f279fea0ea94ce8e8d1c406","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-09T10:00:30Z","title_canon_sha256":"0db84ef1976865b5cc1fd7a36b04be743b356b03fc3b209e0eb644a998bb9d76"},"schema_version":"1.0","source":{"id":"2107.04333","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.04333","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"arxiv_version","alias_value":"2107.04333v2","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.04333","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_12","alias_value":"Q722VM5GFO37","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_16","alias_value":"Q722VM5GFO37P634","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_8","alias_value":"Q722VM5G","created_at":"2026-07-05T03:02:16Z"}],"graph_snapshots":[{"event_id":"sha256:4f275bbbf6003e15ef87cadaaa76749c5c159e0475c7732f791baa89e920267d","target":"graph","created_at":"2026-07-05T03:02:16Z","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/2107.04333/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper seeks to tackle the bin packing problem (BPP) through a learning perspective. Building on self-attention-based encoding and deep reinforcement learning algorithms, we propose a new end-to-end learning model for this task of interest. By decomposing the combinatorial action space, as well as utilizing a new training technique denoted as prioritized oversampling, which is a general scheme to speed up on-policy learning, we achieve state-of-the-art performance in a range of experimental settings. Moreover, although the proposed approach attend2pack targets offline-BPP, we strip our met","authors_text":"Bin Zi, Jingwei Zhang, Xiaoyu Ge","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-09T10:00:30Z","title":"Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.04333","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:a1111dfb4c23e81c13b659a6316c3d42fb9268b874d766b18081100a369c25bc","target":"record","created_at":"2026-07-05T03:02:16Z","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":"0559b6b3760a20ca31b309363a8295f549fab84f4f279fea0ea94ce8e8d1c406","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-09T10:00:30Z","title_canon_sha256":"0db84ef1976865b5cc1fd7a36b04be743b356b03fc3b209e0eb644a998bb9d76"},"schema_version":"1.0","source":{"id":"2107.04333","kind":"arxiv","version":2}},"canonical_sha256":"87f5aab3a62bb7f7fb7ce23ded3c43f03baffeeb245333bac1cc7522614ff6fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87f5aab3a62bb7f7fb7ce23ded3c43f03baffeeb245333bac1cc7522614ff6fd","first_computed_at":"2026-07-05T03:02:16.797749Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:02:16.797749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IxT7q7ZhAdD2IKSkGziPvSkmN7CPJbM1yZrWE2k8Pps7HiYz+P6Dt6olJe0GT+7Ke4AGgbzWcpt9P7Bksm+rDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:02:16.798144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.04333","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1111dfb4c23e81c13b659a6316c3d42fb9268b874d766b18081100a369c25bc","sha256:4f275bbbf6003e15ef87cadaaa76749c5c159e0475c7732f791baa89e920267d"],"state_sha256":"29b12030033c79fc82cf57c61fd3e68f98e4e26862a9ab84f72f63576bea0535"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sqeKUyc9DuWa7B6Q0rkmbXAcLSlPNOP8NoqTTi+m3eEUx64uZjxiLtDe2fwyujNAePhw6pwk77ODygyyr+S+CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T00:23:48.296694Z","bundle_sha256":"a21ef424bb5b49a06e13b3f2f45c1efc6e6ac5891f57ed55cacc275f21b05b6b"}}