{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:KDY5NBP3J7SFE53ICVNTPAZ5HU","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":"127d387de4253e66df99c25a746470c1f04b15e58dbb42ed9a2c329ad50fecde","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-22T03:31:52Z","title_canon_sha256":"f19d7d8ec1f8765582509bf6d65a6257ae33f99c985f3c1202e5ac1085fdb2ce"},"schema_version":"1.0","source":{"id":"1406.5670","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.5670","created_at":"2026-05-18T02:18:49Z"},{"alias_kind":"arxiv_version","alias_value":"1406.5670v3","created_at":"2026-05-18T02:18:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.5670","created_at":"2026-05-18T02:18:49Z"},{"alias_kind":"pith_short_12","alias_value":"KDY5NBP3J7SF","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_16","alias_value":"KDY5NBP3J7SFE53I","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_8","alias_value":"KDY5NBP3","created_at":"2026-05-18T12:28:35Z"}],"graph_snapshots":[{"event_id":"sha256:8e8bbd8a3b2e172f8da0800ec3e8a744c55f7573232760401d8fa620ab59fb98","target":"graph","created_at":"2026-05-18T02:18:49Z","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":"3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic shape representation. With the recent availability of inexpensive 2.5D depth sensors (e.g. Microsoft Kinect), it is becoming increasingly important to have a powerful 3D shape representation in the loop. Apart from category recognition, recovering full 3D shapes from view-based 2.5D depth maps is also a critical part of visual understanding. To this end, we propose to represent a geometric 3D shape as a probability distribution of binary variables on a 3D voxel grid,","authors_text":"Aditya Khosla, Fisher Yu, Jianxiong Xiao, Linguang Zhang, Shuran Song, Xiaoou Tang, Zhirong Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-22T03:31:52Z","title":"3D ShapeNets: A Deep Representation for Volumetric Shapes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.5670","kind":"arxiv","version":3},"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":"sha256:2d92b5d39f3b13540902646260d60748f7fe3e3b6fa31e6668093a9b05456cb6","target":"record","created_at":"2026-05-18T02:18:49Z","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":"127d387de4253e66df99c25a746470c1f04b15e58dbb42ed9a2c329ad50fecde","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-22T03:31:52Z","title_canon_sha256":"f19d7d8ec1f8765582509bf6d65a6257ae33f99c985f3c1202e5ac1085fdb2ce"},"schema_version":"1.0","source":{"id":"1406.5670","kind":"arxiv","version":3}},"canonical_sha256":"50f1d685fb4fe4527768155b37833d3d224845eb2ef69626331fbe4c2f704e63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50f1d685fb4fe4527768155b37833d3d224845eb2ef69626331fbe4c2f704e63","first_computed_at":"2026-05-18T02:18:49.726517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:18:49.726517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"elAnARMh9oV2TnTYtpmV5cTKmYTzJlmRGLbFPu/yHrphUFA4Yo09X9jQZSMxEXWQmTRshyZhj49yJzZ7SiLxCA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:18:49.727308Z","signed_message":"canonical_sha256_bytes"},"source_id":"1406.5670","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d92b5d39f3b13540902646260d60748f7fe3e3b6fa31e6668093a9b05456cb6","sha256:8e8bbd8a3b2e172f8da0800ec3e8a744c55f7573232760401d8fa620ab59fb98"],"state_sha256":"657622825043f4d2a4fbc6ee2f69e8a8500103071adbfb0ab70e193cae3c08f5"}