{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:E7JPXDFN5ZGDDIDOJ66J4B4GDM","short_pith_number":"pith:E7JPXDFN","schema_version":"1.0","canonical_sha256":"27d2fb8cadee4c31a06e4fbc9e07861b2077681baef742198f662151d77c33c3","source":{"kind":"arxiv","id":"2004.03450","version":3},"attestation_state":"computed","paper":{"title":"Learning to Accelerate Decomposition for Multi-Directional 3D Printing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.RO"],"primary_cat":"cs.GR","authors_text":"Charlie C.L. Wang, Chenming Wu, Yong-jin Liu","submitted_at":"2020-03-17T18:37:44Z","abstract_excerpt":"Multi-directional 3D printing has the capability of decreasing or eliminating the need for support structures. Recent work proposed a beam-guided search algorithm to find an optimized sequence of plane-clipping, which gives volume decomposition of a given 3D model. Different printing directions are employed in different regions to fabricate a model with tremendously less support (or even no support in many cases).To obtain optimized decomposition, a large beam width needs to be used in the search algorithm, leading to a very time-consuming computation. In this paper, we propose a learning fram"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2004.03450","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2020-03-17T18:37:44Z","cross_cats_sorted":["cs.CV","cs.RO"],"title_canon_sha256":"bb4fb1d4c2708f496312c39e9e596d560385016f63471549c0babad6f5bcda87","abstract_canon_sha256":"24426c25a3ef8e253890a80166f14a67dfd382d307c8461870fb9ad96bb4b12f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:20:17.019968Z","signature_b64":"GZEIO165rfcafWzBXaqTaM/jT7q+KqDnXGyXlNVDzsJzgN8Jk82ix1W4mCsgHryryskHhYfSEGo1fbwd3AkRDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27d2fb8cadee4c31a06e4fbc9e07861b2077681baef742198f662151d77c33c3","last_reissued_at":"2026-07-05T01:20:17.019518Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:20:17.019518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning to Accelerate Decomposition for Multi-Directional 3D Printing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.RO"],"primary_cat":"cs.GR","authors_text":"Charlie C.L. Wang, Chenming Wu, Yong-jin Liu","submitted_at":"2020-03-17T18:37:44Z","abstract_excerpt":"Multi-directional 3D printing has the capability of decreasing or eliminating the need for support structures. Recent work proposed a beam-guided search algorithm to find an optimized sequence of plane-clipping, which gives volume decomposition of a given 3D model. Different printing directions are employed in different regions to fabricate a model with tremendously less support (or even no support in many cases).To obtain optimized decomposition, a large beam width needs to be used in the search algorithm, leading to a very time-consuming computation. In this paper, we propose a learning fram"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.03450","kind":"arxiv","version":3},"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/2004.03450/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2004.03450","created_at":"2026-07-05T01:20:17.019598+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.03450v3","created_at":"2026-07-05T01:20:17.019598+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.03450","created_at":"2026-07-05T01:20:17.019598+00:00"},{"alias_kind":"pith_short_12","alias_value":"E7JPXDFN5ZGD","created_at":"2026-07-05T01:20:17.019598+00:00"},{"alias_kind":"pith_short_16","alias_value":"E7JPXDFN5ZGDDIDO","created_at":"2026-07-05T01:20:17.019598+00:00"},{"alias_kind":"pith_short_8","alias_value":"E7JPXDFN","created_at":"2026-07-05T01:20:17.019598+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM","json":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM.json","graph_json":"https://pith.science/api/pith-number/E7JPXDFN5ZGDDIDOJ66J4B4GDM/graph.json","events_json":"https://pith.science/api/pith-number/E7JPXDFN5ZGDDIDOJ66J4B4GDM/events.json","paper":"https://pith.science/paper/E7JPXDFN"},"agent_actions":{"view_html":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM","download_json":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM.json","view_paper":"https://pith.science/paper/E7JPXDFN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.03450&json=true","fetch_graph":"https://pith.science/api/pith-number/E7JPXDFN5ZGDDIDOJ66J4B4GDM/graph.json","fetch_events":"https://pith.science/api/pith-number/E7JPXDFN5ZGDDIDOJ66J4B4GDM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM/action/storage_attestation","attest_author":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM/action/author_attestation","sign_citation":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM/action/citation_signature","submit_replication":"https://pith.science/pith/E7JPXDFN5ZGDDIDOJ66J4B4GDM/action/replication_record"}},"created_at":"2026-07-05T01:20:17.019598+00:00","updated_at":"2026-07-05T01:20:17.019598+00:00"}