{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BCHILLUABWXRRMTRSPXHFGFGWC","short_pith_number":"pith:BCHILLUA","canonical_record":{"source":{"id":"2503.16429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:59Z","cross_cats_sorted":[],"title_canon_sha256":"0fda464e1df05b2101f12b60a61163d60b2dfaef10b0d8c1aee5391fc2bf8b35","abstract_canon_sha256":"30525ded10f24d2b468b1e04b533633ecaf3ff97bd20291500b4ea034dffe6e0"},"schema_version":"1.0"},"canonical_sha256":"088e85ae800daf18b27193ee7298a6b09170390577cbc91a8233727ba106bcf1","source":{"kind":"arxiv","id":"2503.16429","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16429","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16429v1","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16429","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_12","alias_value":"BCHILLUABWXR","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_16","alias_value":"BCHILLUABWXRRMTR","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_8","alias_value":"BCHILLUA","created_at":"2026-07-05T10:36:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BCHILLUABWXRRMTRSPXHFGFGWC","target":"record","payload":{"canonical_record":{"source":{"id":"2503.16429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:59Z","cross_cats_sorted":[],"title_canon_sha256":"0fda464e1df05b2101f12b60a61163d60b2dfaef10b0d8c1aee5391fc2bf8b35","abstract_canon_sha256":"30525ded10f24d2b468b1e04b533633ecaf3ff97bd20291500b4ea034dffe6e0"},"schema_version":"1.0"},"canonical_sha256":"088e85ae800daf18b27193ee7298a6b09170390577cbc91a8233727ba106bcf1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:19.253148Z","signature_b64":"L82PX+Rxf6nvysYETwg/UVT3iH0HHH9rICyzaqJD3xc4LyTYN2eAjeDWko0TxR1PM+5v61/3MdqyU/rGX/3fDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"088e85ae800daf18b27193ee7298a6b09170390577cbc91a8233727ba106bcf1","last_reissued_at":"2026-07-05T10:36:19.252662Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:19.252662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.16429","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":"2026-07-05T10:36:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HyfHXjNwnfyKNs694kdEwOflvxOza/TueL84XAFB+eX5oOjJWfD84rfFnU5qkhsgtiWuF2HQ7mW+3OWirBHNDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:48:50.961434Z"},"content_sha256":"9184a5a396f26e8c8b923359f675837b6d070cbc76ca7e14845789df26a918dc","schema_version":"1.0","event_id":"sha256:9184a5a396f26e8c8b923359f675837b6d070cbc76ca7e14845789df26a918dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BCHILLUABWXRRMTRSPXHFGFGWC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sonata: Self-Supervised Learning of Reliable Point Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chris Xie, Daniel DeTone, Duncan Frost, Hengshuang Zhao, Jakob Engel, Julian Straub, Nan Yang, Richard Newcombe, Tianwei Shen, Xiaoyang Wu","submitted_at":"2025-03-20T17:59:59Z","abstract_excerpt":"In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and minimal computation. We find that existing 3D self-supervised learning approaches fall short when evaluated on representation quality through linear probing. We hypothesize that this is due to what we term the \"geometric shortcut\", which causes representations to collapse to low-level spatial features. This challenge is unique to 3D and arises from the sparse nature of point cloud data. We address it through two key "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16429","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.16429/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":"2026-07-05T10:36:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oyMZLDS/a7FgyPFV1Y4H5/WrnLM1rmhdMAUwsUVmIB71f8gOYKtze8b6x3vHr+Xw9YXy3l832jP0UO5XNo0hAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:48:50.961882Z"},"content_sha256":"d22294844bc6e1830635d4e99af5c59ff26cadc9841c5d09cc80b04cd451d8fa","schema_version":"1.0","event_id":"sha256:d22294844bc6e1830635d4e99af5c59ff26cadc9841c5d09cc80b04cd451d8fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BCHILLUABWXRRMTRSPXHFGFGWC/bundle.json","state_url":"https://pith.science/pith/BCHILLUABWXRRMTRSPXHFGFGWC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BCHILLUABWXRRMTRSPXHFGFGWC/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":"2026-08-07T23:48:50Z","links":{"resolver":"https://pith.science/pith/BCHILLUABWXRRMTRSPXHFGFGWC","bundle":"https://pith.science/pith/BCHILLUABWXRRMTRSPXHFGFGWC/bundle.json","state":"https://pith.science/pith/BCHILLUABWXRRMTRSPXHFGFGWC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BCHILLUABWXRRMTRSPXHFGFGWC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BCHILLUABWXRRMTRSPXHFGFGWC","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":"30525ded10f24d2b468b1e04b533633ecaf3ff97bd20291500b4ea034dffe6e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:59Z","title_canon_sha256":"0fda464e1df05b2101f12b60a61163d60b2dfaef10b0d8c1aee5391fc2bf8b35"},"schema_version":"1.0","source":{"id":"2503.16429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16429","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16429v1","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16429","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_12","alias_value":"BCHILLUABWXR","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_16","alias_value":"BCHILLUABWXRRMTR","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_8","alias_value":"BCHILLUA","created_at":"2026-07-05T10:36:19Z"}],"graph_snapshots":[{"event_id":"sha256:d22294844bc6e1830635d4e99af5c59ff26cadc9841c5d09cc80b04cd451d8fa","target":"graph","created_at":"2026-07-05T10:36:19Z","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/2503.16429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and minimal computation. We find that existing 3D self-supervised learning approaches fall short when evaluated on representation quality through linear probing. We hypothesize that this is due to what we term the \"geometric shortcut\", which causes representations to collapse to low-level spatial features. This challenge is unique to 3D and arises from the sparse nature of point cloud data. We address it through two key ","authors_text":"Chris Xie, Daniel DeTone, Duncan Frost, Hengshuang Zhao, Jakob Engel, Julian Straub, Nan Yang, Richard Newcombe, Tianwei Shen, Xiaoyang Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:59Z","title":"Sonata: Self-Supervised Learning of Reliable Point Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16429","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":"sha256:9184a5a396f26e8c8b923359f675837b6d070cbc76ca7e14845789df26a918dc","target":"record","created_at":"2026-07-05T10:36:19Z","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":"30525ded10f24d2b468b1e04b533633ecaf3ff97bd20291500b4ea034dffe6e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:59Z","title_canon_sha256":"0fda464e1df05b2101f12b60a61163d60b2dfaef10b0d8c1aee5391fc2bf8b35"},"schema_version":"1.0","source":{"id":"2503.16429","kind":"arxiv","version":1}},"canonical_sha256":"088e85ae800daf18b27193ee7298a6b09170390577cbc91a8233727ba106bcf1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"088e85ae800daf18b27193ee7298a6b09170390577cbc91a8233727ba106bcf1","first_computed_at":"2026-07-05T10:36:19.252662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:19.252662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L82PX+Rxf6nvysYETwg/UVT3iH0HHH9rICyzaqJD3xc4LyTYN2eAjeDWko0TxR1PM+5v61/3MdqyU/rGX/3fDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:19.253148Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9184a5a396f26e8c8b923359f675837b6d070cbc76ca7e14845789df26a918dc","sha256:d22294844bc6e1830635d4e99af5c59ff26cadc9841c5d09cc80b04cd451d8fa"],"state_sha256":"4065474d0e2570a570b56aea67ff4d307fbc9db21d71d5be8f5861515ddd1a75"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rkqY1ywovZrOA+ERVVp9UH6PbtPHE9OjCh6q++JPfwu5C6EpZp4/FRk5FmmPfnQ3k+ylakvaa89b18iOOs5cCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:48:50.964652Z","bundle_sha256":"259035db5dbc29d4064feafe0271cd56911369002270f36c81d2c5cce10f2ebc"}}