{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QDFVGEGJPH5SBPR6YDAYMJEWWR","short_pith_number":"pith:QDFVGEGJ","canonical_record":{"source":{"id":"2402.10002","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-15T15:10:17Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"3b5e31c6e98b9244c0a3f711432637bc1583c0e40a04266d6f819e97453290c1","abstract_canon_sha256":"2ac09d81b93c62fd206281c70a8fb966c708fda0d6663ea81aea7f14fb8de37f"},"schema_version":"1.0"},"canonical_sha256":"80cb5310c979fb20be3ec0c1862496b44916a61ac8e1c8baee410c905cc30d8c","source":{"kind":"arxiv","id":"2402.10002","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10002","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10002v3","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10002","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"pith_short_12","alias_value":"QDFVGEGJPH5S","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"pith_short_16","alias_value":"QDFVGEGJPH5SBPR6","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"pith_short_8","alias_value":"QDFVGEGJ","created_at":"2026-07-05T07:53:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QDFVGEGJPH5SBPR6YDAYMJEWWR","target":"record","payload":{"canonical_record":{"source":{"id":"2402.10002","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-15T15:10:17Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"3b5e31c6e98b9244c0a3f711432637bc1583c0e40a04266d6f819e97453290c1","abstract_canon_sha256":"2ac09d81b93c62fd206281c70a8fb966c708fda0d6663ea81aea7f14fb8de37f"},"schema_version":"1.0"},"canonical_sha256":"80cb5310c979fb20be3ec0c1862496b44916a61ac8e1c8baee410c905cc30d8c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:53:33.009408Z","signature_b64":"ybNBH5l1yVe854mmX0XXobrOAGcSK3VZ60pQEKahBAUGTl4TXZMKt/soFm0ja8me7ZkALV3YfH2Sk//4M82KCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80cb5310c979fb20be3ec0c1862496b44916a61ac8e1c8baee410c905cc30d8c","last_reissued_at":"2026-07-05T07:53:33.008958Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:53:33.008958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.10002","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:53:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WV8EXClJZPpa9C+5juLx5j2FFxK1rPoZQWPKDikpMfSR85YTjUiy/kvlMU8OvmgpOx3yiIf1Qjo5PbgBgernAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:44:55.309471Z"},"content_sha256":"419af80d9b63b9b93673076da936c4a79d75663cfc4e631a8f18d0475a2cb6e8","schema_version":"1.0","event_id":"sha256:419af80d9b63b9b93673076da936c4a79d75663cfc4e631a8f18d0475a2cb6e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QDFVGEGJPH5SBPR6YDAYMJEWWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Hai-Tao Yu, Mofei Song","submitted_at":"2024-02-15T15:10:17Z","abstract_excerpt":"In perception, multiple sensory information is integrated to map visual information from 2D views onto 3D objects, which is beneficial for understanding in 3D environments. But in terms of a single 2D view rendered from different angles, only limited partial information can be provided.The richness and value of Multi-view 2D information can provide superior self-supervised signals for 3D objects. In this paper, we propose a novel self-supervised point cloud representation learning method, MM-Point, which is driven by intra-modal and inter-modal similarity objectives. The core of MM-Point lies "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10002","kind":"arxiv","version":3},"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/2402.10002/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":"2026-07-05T07:53:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ogxx4OfcJfc8lZFcakDSna6AJ44EvEfQin0GDgCkBOVK3jQudeHvtulJxa2KktL1vaV/2yvtOaMBP77/a1SlAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:44:55.309850Z"},"content_sha256":"95f8c0b9ea0c5d57a1702161d8df7f0094503cbd3be51dffafec3d33dd83ab20","schema_version":"1.0","event_id":"sha256:95f8c0b9ea0c5d57a1702161d8df7f0094503cbd3be51dffafec3d33dd83ab20"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR/bundle.json","state_url":"https://pith.science/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR/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":"2026-07-06T13:44:55Z","links":{"resolver":"https://pith.science/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR","bundle":"https://pith.science/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR/bundle.json","state":"https://pith.science/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QDFVGEGJPH5SBPR6YDAYMJEWWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QDFVGEGJPH5SBPR6YDAYMJEWWR","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":"2ac09d81b93c62fd206281c70a8fb966c708fda0d6663ea81aea7f14fb8de37f","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-15T15:10:17Z","title_canon_sha256":"3b5e31c6e98b9244c0a3f711432637bc1583c0e40a04266d6f819e97453290c1"},"schema_version":"1.0","source":{"id":"2402.10002","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10002","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10002v3","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10002","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"pith_short_12","alias_value":"QDFVGEGJPH5S","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"pith_short_16","alias_value":"QDFVGEGJPH5SBPR6","created_at":"2026-07-05T07:53:33Z"},{"alias_kind":"pith_short_8","alias_value":"QDFVGEGJ","created_at":"2026-07-05T07:53:33Z"}],"graph_snapshots":[{"event_id":"sha256:95f8c0b9ea0c5d57a1702161d8df7f0094503cbd3be51dffafec3d33dd83ab20","target":"graph","created_at":"2026-07-05T07:53:33Z","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/2402.10002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In perception, multiple sensory information is integrated to map visual information from 2D views onto 3D objects, which is beneficial for understanding in 3D environments. But in terms of a single 2D view rendered from different angles, only limited partial information can be provided.The richness and value of Multi-view 2D information can provide superior self-supervised signals for 3D objects. In this paper, we propose a novel self-supervised point cloud representation learning method, MM-Point, which is driven by intra-modal and inter-modal similarity objectives. The core of MM-Point lies ","authors_text":"Hai-Tao Yu, Mofei Song","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-15T15:10:17Z","title":"MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10002","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":"sha256:419af80d9b63b9b93673076da936c4a79d75663cfc4e631a8f18d0475a2cb6e8","target":"record","created_at":"2026-07-05T07:53:33Z","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":"2ac09d81b93c62fd206281c70a8fb966c708fda0d6663ea81aea7f14fb8de37f","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-15T15:10:17Z","title_canon_sha256":"3b5e31c6e98b9244c0a3f711432637bc1583c0e40a04266d6f819e97453290c1"},"schema_version":"1.0","source":{"id":"2402.10002","kind":"arxiv","version":3}},"canonical_sha256":"80cb5310c979fb20be3ec0c1862496b44916a61ac8e1c8baee410c905cc30d8c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80cb5310c979fb20be3ec0c1862496b44916a61ac8e1c8baee410c905cc30d8c","first_computed_at":"2026-07-05T07:53:33.008958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:53:33.008958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ybNBH5l1yVe854mmX0XXobrOAGcSK3VZ60pQEKahBAUGTl4TXZMKt/soFm0ja8me7ZkALV3YfH2Sk//4M82KCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:53:33.009408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10002","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:419af80d9b63b9b93673076da936c4a79d75663cfc4e631a8f18d0475a2cb6e8","sha256:95f8c0b9ea0c5d57a1702161d8df7f0094503cbd3be51dffafec3d33dd83ab20"],"state_sha256":"25f29adb7cab8af85f7b4b3ed5b0c9e0fed815ae9322b27ec9ed8b8824451fd4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wkm6Ds9jU2ysLc7DQukQbdXosRXjNER9Gyy5dYvqZZK5G/d3M7qoSu3ZsUIHW3Ci/1CcH1GtdeBfBdIqwZrUAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T13:44:55.311821Z","bundle_sha256":"b190712449a74b6e00108e17cca98a3a9b2db6c8f9ba8eb54b72459dd186931c"}}