{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:PZKFRXUWIRCVWLR3BBWT4U465U","short_pith_number":"pith:PZKFRXUW","canonical_record":{"source":{"id":"1712.04426","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T18:37:34Z","cross_cats_sorted":[],"title_canon_sha256":"8e4d6ecf68780a9bf049d603a3e01d29b970af18ad9fabce3c44787de9373f86","abstract_canon_sha256":"1d731cc743a641715dff5ebf0d476e9d910b1c812c60996ee46ac1c9f577ea02"},"schema_version":"1.0"},"canonical_sha256":"7e5458de9644455b2e3b086d3e539eed04fb49a56244f7ae25acd51efb8c7b90","source":{"kind":"arxiv","id":"1712.04426","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.04426","created_at":"2026-05-18T00:28:08Z"},{"alias_kind":"arxiv_version","alias_value":"1712.04426v1","created_at":"2026-05-18T00:28:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.04426","created_at":"2026-05-18T00:28:08Z"},{"alias_kind":"pith_short_12","alias_value":"PZKFRXUWIRCV","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PZKFRXUWIRCVWLR3","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PZKFRXUW","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:PZKFRXUWIRCVWLR3BBWT4U465U","target":"record","payload":{"canonical_record":{"source":{"id":"1712.04426","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T18:37:34Z","cross_cats_sorted":[],"title_canon_sha256":"8e4d6ecf68780a9bf049d603a3e01d29b970af18ad9fabce3c44787de9373f86","abstract_canon_sha256":"1d731cc743a641715dff5ebf0d476e9d910b1c812c60996ee46ac1c9f577ea02"},"schema_version":"1.0"},"canonical_sha256":"7e5458de9644455b2e3b086d3e539eed04fb49a56244f7ae25acd51efb8c7b90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:28:08.054208Z","signature_b64":"kVzBQSQZ3eaXMgYN09huDx+k0FWkdBv5fqM6tI27qnnFtbH49OC3oVS41II0HWaV1JeUi0vd+ScY+fgkpru1DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e5458de9644455b2e3b086d3e539eed04fb49a56244f7ae25acd51efb8c7b90","last_reissued_at":"2026-05-18T00:28:08.053511Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:28:08.053511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.04426","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":"2026-05-18T00:28:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/KJ76kDt76LLkb0dEjc/OcrQM3KL0M601oYYeYM/ttdr5mXZO2IJJgNsX21BFsXYUZ95ODlSLKf98gL9NTJDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T02:27:30.791683Z"},"content_sha256":"7a1f5708acbe28dffdc4a483964c983af63d9414e8840a8e7dd45c787c645a85","schema_version":"1.0","event_id":"sha256:7a1f5708acbe28dffdc4a483964c983af63d9414e8840a8e7dd45c787c645a85"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:PZKFRXUWIRCVWLR3BBWT4U465U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3D Object Classification via Spherical Projections","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Karthik Ramani, Qixing Huang, Zhangjie Cao","submitted_at":"2017-12-12T18:37:34Z","abstract_excerpt":"In this paper, we introduce a new method for classifying 3D objects. Our main idea is to project a 3D object onto a spherical domain centered around its barycenter and develop neural network to classify the spherical projection. We introduce two complementary projections. The first captures depth variations of a 3D object, and the second captures contour-information viewed from different angles. Spherical projections combine key advantages of two main-stream 3D classification methods: image-based and 3D-based. Specifically, spherical projections are locally planar, allowing us to use massive i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.04426","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":""},"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":"2026-05-18T00:28:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LVbNlRJNdpBeEJ4oxK5Gh1SiKRElH0N54Xi7IC3Wiwa1Op39MEfz2MCAQc3YY+wr8PpVeG+hjvIGGCcpBaPbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T02:27:30.792399Z"},"content_sha256":"e85932e430159fe35126553837ff77da8415392138cdcf067fb9cd8974cbfb2e","schema_version":"1.0","event_id":"sha256:e85932e430159fe35126553837ff77da8415392138cdcf067fb9cd8974cbfb2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PZKFRXUWIRCVWLR3BBWT4U465U/bundle.json","state_url":"https://pith.science/pith/PZKFRXUWIRCVWLR3BBWT4U465U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PZKFRXUWIRCVWLR3BBWT4U465U/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":"2026-05-30T02:27:30Z","links":{"resolver":"https://pith.science/pith/PZKFRXUWIRCVWLR3BBWT4U465U","bundle":"https://pith.science/pith/PZKFRXUWIRCVWLR3BBWT4U465U/bundle.json","state":"https://pith.science/pith/PZKFRXUWIRCVWLR3BBWT4U465U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PZKFRXUWIRCVWLR3BBWT4U465U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PZKFRXUWIRCVWLR3BBWT4U465U","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":"1d731cc743a641715dff5ebf0d476e9d910b1c812c60996ee46ac1c9f577ea02","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T18:37:34Z","title_canon_sha256":"8e4d6ecf68780a9bf049d603a3e01d29b970af18ad9fabce3c44787de9373f86"},"schema_version":"1.0","source":{"id":"1712.04426","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.04426","created_at":"2026-05-18T00:28:08Z"},{"alias_kind":"arxiv_version","alias_value":"1712.04426v1","created_at":"2026-05-18T00:28:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.04426","created_at":"2026-05-18T00:28:08Z"},{"alias_kind":"pith_short_12","alias_value":"PZKFRXUWIRCV","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PZKFRXUWIRCVWLR3","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PZKFRXUW","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:e85932e430159fe35126553837ff77da8415392138cdcf067fb9cd8974cbfb2e","target":"graph","created_at":"2026-05-18T00:28:08Z","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":"In this paper, we introduce a new method for classifying 3D objects. Our main idea is to project a 3D object onto a spherical domain centered around its barycenter and develop neural network to classify the spherical projection. We introduce two complementary projections. The first captures depth variations of a 3D object, and the second captures contour-information viewed from different angles. Spherical projections combine key advantages of two main-stream 3D classification methods: image-based and 3D-based. Specifically, spherical projections are locally planar, allowing us to use massive i","authors_text":"Karthik Ramani, Qixing Huang, Zhangjie Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T18:37:34Z","title":"3D Object Classification via Spherical Projections"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.04426","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":"sha256:7a1f5708acbe28dffdc4a483964c983af63d9414e8840a8e7dd45c787c645a85","target":"record","created_at":"2026-05-18T00:28:08Z","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":"1d731cc743a641715dff5ebf0d476e9d910b1c812c60996ee46ac1c9f577ea02","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T18:37:34Z","title_canon_sha256":"8e4d6ecf68780a9bf049d603a3e01d29b970af18ad9fabce3c44787de9373f86"},"schema_version":"1.0","source":{"id":"1712.04426","kind":"arxiv","version":1}},"canonical_sha256":"7e5458de9644455b2e3b086d3e539eed04fb49a56244f7ae25acd51efb8c7b90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e5458de9644455b2e3b086d3e539eed04fb49a56244f7ae25acd51efb8c7b90","first_computed_at":"2026-05-18T00:28:08.053511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:08.053511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kVzBQSQZ3eaXMgYN09huDx+k0FWkdBv5fqM6tI27qnnFtbH49OC3oVS41II0HWaV1JeUi0vd+ScY+fgkpru1DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:08.054208Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.04426","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a1f5708acbe28dffdc4a483964c983af63d9414e8840a8e7dd45c787c645a85","sha256:e85932e430159fe35126553837ff77da8415392138cdcf067fb9cd8974cbfb2e"],"state_sha256":"fcaecaad81e043be985fa4a83aa3d09bdb699105f5bb753b3763dba8f886cd2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SsAWIvzOvpM1K6L5k4zohDNiYj0uN/K5z54DstJx4vg5IWMCe1U2aMnvl1UFeNZ1Wh0WFJgMhT4aiFmephsbBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T02:27:30.796193Z","bundle_sha256":"f788ed86c3195f13283cd9ed67590e5d5558fc1f89a7f2d9495ef0b95d4ac957"}}