{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5EDJBE4O4DT7TX55R5WZ66V4AH","short_pith_number":"pith:5EDJBE4O","canonical_record":{"source":{"id":"2404.16432","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-25T09:07:19Z","cross_cats_sorted":[],"title_canon_sha256":"f0c44df839c286c16090e288bedd2e5dd91c637a7fe01b2c9f6b10f296fe84e7","abstract_canon_sha256":"c77a9631ad04039e767b3351b8c4c5c06d4aff3caea81ed1d309f81b0ec0d2b0"},"schema_version":"1.0"},"canonical_sha256":"e90690938ee0e7f9dfbd8f6d9f7abc01cd2eae284be62eee2f794623b00aedc3","source":{"kind":"arxiv","id":"2404.16432","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16432","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16432v6","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16432","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"5EDJBE4O4DT7","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"pith_short_16","alias_value":"5EDJBE4O4DT7TX55","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"pith_short_8","alias_value":"5EDJBE4O","created_at":"2026-07-05T10:11:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5EDJBE4O4DT7TX55R5WZ66V4AH","target":"record","payload":{"canonical_record":{"source":{"id":"2404.16432","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-25T09:07:19Z","cross_cats_sorted":[],"title_canon_sha256":"f0c44df839c286c16090e288bedd2e5dd91c637a7fe01b2c9f6b10f296fe84e7","abstract_canon_sha256":"c77a9631ad04039e767b3351b8c4c5c06d4aff3caea81ed1d309f81b0ec0d2b0"},"schema_version":"1.0"},"canonical_sha256":"e90690938ee0e7f9dfbd8f6d9f7abc01cd2eae284be62eee2f794623b00aedc3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:18.780348Z","signature_b64":"3E6JqZ3Tl3d7CLqyMDlL7Yiou6VeZ6r81BITj97g8G+urJ0qBSiZr2dWXD5B+/zrdZuCxa5NlRhIWZ8FgkfIBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e90690938ee0e7f9dfbd8f6d9f7abc01cd2eae284be62eee2f794623b00aedc3","last_reissued_at":"2026-07-05T10:11:18.779886Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:18.779886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.16432","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:11:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2Nten2TBmxJ7crdTEeu7kFDIu+6SpgELlZQuX8fsEcWlevaSSbWQmCOuFhev1wMUBCZ3EwEHQjg+gc5b4Ex5Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:42:00.090304Z"},"content_sha256":"400fda12b5a46dea316c8fade1c4f4796c61beec8dddcce07c2bf009d1518daf","schema_version":"1.0","event_id":"sha256:400fda12b5a46dea316c8fade1c4f4796c61beec8dddcce07c2bf009d1518daf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5EDJBE4O4DT7TX55R5WZ66V4AH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ayumu Saito, Jiju Poovvancheri, Prachi Kudeshia","submitted_at":"2024-04-25T09:07:19Z","abstract_excerpt":"Recent advancements in self-supervised learning in the point cloud domain have demonstrated significant potential. However, these methods often suffer from drawbacks, including lengthy pre-training time, the necessity of reconstruction in the input space, or the necessity of additional modalities. In order to address these issues, we introduce Point-JEPA, a joint embedding predictive architecture designed specifically for point cloud data. To this end, we introduce a sequencer that orders point cloud patch embeddings to efficiently compute and utilize their proximity based on the indices durin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16432","kind":"arxiv","version":6},"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/2404.16432/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":"2026-07-05T10:11:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MbqYTAM4qaYdpEg+0Rz9grDyV95DfoyUZtPsNvAxpydzhDEV1ird/IgunvbuConjnfw3ev5DCMA5mWVOe3P5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:42:00.091722Z"},"content_sha256":"d10d242ddeecb4875733f4967864fd8e5c14f27eb72bd065ba356cd11db2d83f","schema_version":"1.0","event_id":"sha256:d10d242ddeecb4875733f4967864fd8e5c14f27eb72bd065ba356cd11db2d83f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5EDJBE4O4DT7TX55R5WZ66V4AH/bundle.json","state_url":"https://pith.science/pith/5EDJBE4O4DT7TX55R5WZ66V4AH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5EDJBE4O4DT7TX55R5WZ66V4AH/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":"2026-08-10T05:42:00Z","links":{"resolver":"https://pith.science/pith/5EDJBE4O4DT7TX55R5WZ66V4AH","bundle":"https://pith.science/pith/5EDJBE4O4DT7TX55R5WZ66V4AH/bundle.json","state":"https://pith.science/pith/5EDJBE4O4DT7TX55R5WZ66V4AH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5EDJBE4O4DT7TX55R5WZ66V4AH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5EDJBE4O4DT7TX55R5WZ66V4AH","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":"c77a9631ad04039e767b3351b8c4c5c06d4aff3caea81ed1d309f81b0ec0d2b0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-25T09:07:19Z","title_canon_sha256":"f0c44df839c286c16090e288bedd2e5dd91c637a7fe01b2c9f6b10f296fe84e7"},"schema_version":"1.0","source":{"id":"2404.16432","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16432","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16432v6","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16432","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"5EDJBE4O4DT7","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"pith_short_16","alias_value":"5EDJBE4O4DT7TX55","created_at":"2026-07-05T10:11:18Z"},{"alias_kind":"pith_short_8","alias_value":"5EDJBE4O","created_at":"2026-07-05T10:11:18Z"}],"graph_snapshots":[{"event_id":"sha256:d10d242ddeecb4875733f4967864fd8e5c14f27eb72bd065ba356cd11db2d83f","target":"graph","created_at":"2026-07-05T10:11:18Z","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/2404.16432/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in self-supervised learning in the point cloud domain have demonstrated significant potential. However, these methods often suffer from drawbacks, including lengthy pre-training time, the necessity of reconstruction in the input space, or the necessity of additional modalities. In order to address these issues, we introduce Point-JEPA, a joint embedding predictive architecture designed specifically for point cloud data. To this end, we introduce a sequencer that orders point cloud patch embeddings to efficiently compute and utilize their proximity based on the indices durin","authors_text":"Ayumu Saito, Jiju Poovvancheri, Prachi Kudeshia","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-25T09:07:19Z","title":"Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16432","kind":"arxiv","version":6},"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":"sha256:400fda12b5a46dea316c8fade1c4f4796c61beec8dddcce07c2bf009d1518daf","target":"record","created_at":"2026-07-05T10:11:18Z","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":"c77a9631ad04039e767b3351b8c4c5c06d4aff3caea81ed1d309f81b0ec0d2b0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-25T09:07:19Z","title_canon_sha256":"f0c44df839c286c16090e288bedd2e5dd91c637a7fe01b2c9f6b10f296fe84e7"},"schema_version":"1.0","source":{"id":"2404.16432","kind":"arxiv","version":6}},"canonical_sha256":"e90690938ee0e7f9dfbd8f6d9f7abc01cd2eae284be62eee2f794623b00aedc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e90690938ee0e7f9dfbd8f6d9f7abc01cd2eae284be62eee2f794623b00aedc3","first_computed_at":"2026-07-05T10:11:18.779886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:18.779886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3E6JqZ3Tl3d7CLqyMDlL7Yiou6VeZ6r81BITj97g8G+urJ0qBSiZr2dWXD5B+/zrdZuCxa5NlRhIWZ8FgkfIBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:18.780348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.16432","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:400fda12b5a46dea316c8fade1c4f4796c61beec8dddcce07c2bf009d1518daf","sha256:d10d242ddeecb4875733f4967864fd8e5c14f27eb72bd065ba356cd11db2d83f"],"state_sha256":"0e318c5eefd34ef1e73a93109e8d41253b66c6de7fa5b8059cd4bae71d15c065"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BTAmsHqc768jhpTFmBUTurrZNKiHaIS7Hj3+LwB2fD3+t+Uf5q49fgbSJjbmpWKOmkcHpXgBzcTXZPSudrtCAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T05:42:00.103068Z","bundle_sha256":"8466404e2c537645f32f34c33c5fb628d8df68ee1d88cec8d83169a6e8760405"}}