{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:2VGBNRTBPFW4T7WIWPXPSUHL5T","short_pith_number":"pith:2VGBNRTB","canonical_record":{"source":{"id":"1904.00230","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-30T15:12:49Z","cross_cats_sorted":[],"title_canon_sha256":"2e1dacb521609f4882b20cbbaad4035363f4600811603ad9581b821fa959fa2b","abstract_canon_sha256":"5288fc606064ff3010621795a8f64ebf6b747ec18df598e20d9a6c8a7b4b30fe"},"schema_version":"1.0"},"canonical_sha256":"d54c16c661796dc9fec8b3eef950ebecdc8f7a11cc35559dcc217453968c9480","source":{"kind":"arxiv","id":"1904.00230","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00230","created_at":"2026-05-17T23:49:49Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00230v1","created_at":"2026-05-17T23:49:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00230","created_at":"2026-05-17T23:49:49Z"},{"alias_kind":"pith_short_12","alias_value":"2VGBNRTBPFW4","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"2VGBNRTBPFW4T7WI","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"2VGBNRTB","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:2VGBNRTBPFW4T7WIWPXPSUHL5T","target":"record","payload":{"canonical_record":{"source":{"id":"1904.00230","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-30T15:12:49Z","cross_cats_sorted":[],"title_canon_sha256":"2e1dacb521609f4882b20cbbaad4035363f4600811603ad9581b821fa959fa2b","abstract_canon_sha256":"5288fc606064ff3010621795a8f64ebf6b747ec18df598e20d9a6c8a7b4b30fe"},"schema_version":"1.0"},"canonical_sha256":"d54c16c661796dc9fec8b3eef950ebecdc8f7a11cc35559dcc217453968c9480","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:49.058121Z","signature_b64":"wBL5a4i8Q5RPXZnmjz+OrCsUk6p1jW2loI5iUWQtRPnOv/s6YbzkO8H4jt8kNnDPxEgD1Ddj9My9KBW0dgvwDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d54c16c661796dc9fec8b3eef950ebecdc8f7a11cc35559dcc217453968c9480","last_reissued_at":"2026-05-17T23:49:49.057498Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:49.057498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.00230","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":"2026-05-17T23:49:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AyJFyKj2SqvFXq9micLp1VzQlF79RX8wTEtfVFNXXs01gTzI3csy37NNvg4RG3j0I2MnXmxma7QXcU8Cfj3OAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:30:20.016554Z"},"content_sha256":"93fc956aba28015359b1d508628a4ee73aaa4fe4d89ea5c0540c3083a9605bea","schema_version":"1.0","event_id":"sha256:93fc956aba28015359b1d508628a4ee73aaa4fe4d89ea5c0540c3083a9605bea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:2VGBNRTBPFW4T7WIWPXPSUHL5T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ali Thabet, Bernard Ghanem, Humam Alwassel","submitted_at":"2019-03-30T15:12:49Z","abstract_excerpt":"We present a self-supervised task on point clouds, in order to learn meaningful point-wise features that encode local structure around each point. Our self-supervised network, named MortonNet, operates directly on unstructured/unordered point clouds. Using a multi-layer RNN, MortonNet predicts the next point in a point sequence created by a popular and fast Space Filling Curve, the Morton-order curve. The final RNN state (coined Morton feature) is versatile and can be used in generic 3D tasks on point clouds. In fact, we show how Morton features can be used to significantly improve performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00230","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":"2026-05-17T23:49:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FchDJwztojLs/7h5YbF4Lni5URLiG/ljQLbvy4BUeIRpexsZfkhgCW6y8Og+bkY/5pS0PvBM78x59L/U0u/iBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:30:20.016900Z"},"content_sha256":"6ae69259285bcc069bd2ff67250cdfc22b5d34361405fd5e451f75d29999522d","schema_version":"1.0","event_id":"sha256:6ae69259285bcc069bd2ff67250cdfc22b5d34361405fd5e451f75d29999522d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T/bundle.json","state_url":"https://pith.science/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T/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":"2026-06-05T02:30:20Z","links":{"resolver":"https://pith.science/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T","bundle":"https://pith.science/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T/bundle.json","state":"https://pith.science/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2VGBNRTBPFW4T7WIWPXPSUHL5T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2VGBNRTBPFW4T7WIWPXPSUHL5T","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":"5288fc606064ff3010621795a8f64ebf6b747ec18df598e20d9a6c8a7b4b30fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-30T15:12:49Z","title_canon_sha256":"2e1dacb521609f4882b20cbbaad4035363f4600811603ad9581b821fa959fa2b"},"schema_version":"1.0","source":{"id":"1904.00230","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00230","created_at":"2026-05-17T23:49:49Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00230v1","created_at":"2026-05-17T23:49:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00230","created_at":"2026-05-17T23:49:49Z"},{"alias_kind":"pith_short_12","alias_value":"2VGBNRTBPFW4","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"2VGBNRTBPFW4T7WI","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"2VGBNRTB","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:6ae69259285bcc069bd2ff67250cdfc22b5d34361405fd5e451f75d29999522d","target":"graph","created_at":"2026-05-17T23:49:49Z","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":"We present a self-supervised task on point clouds, in order to learn meaningful point-wise features that encode local structure around each point. Our self-supervised network, named MortonNet, operates directly on unstructured/unordered point clouds. Using a multi-layer RNN, MortonNet predicts the next point in a point sequence created by a popular and fast Space Filling Curve, the Morton-order curve. The final RNN state (coined Morton feature) is versatile and can be used in generic 3D tasks on point clouds. In fact, we show how Morton features can be used to significantly improve performance","authors_text":"Ali Thabet, Bernard Ghanem, Humam Alwassel","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-30T15:12:49Z","title":"MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00230","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":"sha256:93fc956aba28015359b1d508628a4ee73aaa4fe4d89ea5c0540c3083a9605bea","target":"record","created_at":"2026-05-17T23:49:49Z","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":"5288fc606064ff3010621795a8f64ebf6b747ec18df598e20d9a6c8a7b4b30fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-30T15:12:49Z","title_canon_sha256":"2e1dacb521609f4882b20cbbaad4035363f4600811603ad9581b821fa959fa2b"},"schema_version":"1.0","source":{"id":"1904.00230","kind":"arxiv","version":1}},"canonical_sha256":"d54c16c661796dc9fec8b3eef950ebecdc8f7a11cc35559dcc217453968c9480","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d54c16c661796dc9fec8b3eef950ebecdc8f7a11cc35559dcc217453968c9480","first_computed_at":"2026-05-17T23:49:49.057498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:49.057498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wBL5a4i8Q5RPXZnmjz+OrCsUk6p1jW2loI5iUWQtRPnOv/s6YbzkO8H4jt8kNnDPxEgD1Ddj9My9KBW0dgvwDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:49.058121Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.00230","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93fc956aba28015359b1d508628a4ee73aaa4fe4d89ea5c0540c3083a9605bea","sha256:6ae69259285bcc069bd2ff67250cdfc22b5d34361405fd5e451f75d29999522d"],"state_sha256":"4c78bafb62325ac462f50f629cf1527e946cd6b557d3f9c8cda7006fb25ff89a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DOYuRIIRQFplq28pqQd/tNGuOhoHuwIuH2wW+eGeoroupITyUawiN2d2zsxELMsXc++kcwL0sGSiSjt2cj6ZDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T02:30:20.018809Z","bundle_sha256":"30796af2dff7cd3dbdabded8dc0e4be7f334807e4a49e5765cf327c5bb08fbd4"}}