{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2VTPTI7YMGYZYFFI4KGY3EVOEV","short_pith_number":"pith:2VTPTI7Y","canonical_record":{"source":{"id":"2407.12319","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T05:26:58Z","cross_cats_sorted":[],"title_canon_sha256":"f5b89c58d250981fb09b0378377e3cf610242ac5a815d9edab0f05aaaa9f1f32","abstract_canon_sha256":"462d156d0aa0356461de8977c3257ae12e3cb013ebc011e0b0fde08fcb52e2fc"},"schema_version":"1.0"},"canonical_sha256":"d566f9a3f861b19c14a8e28d8d92ae256dd67e2adfdaf7dd1d723f66cfe65576","source":{"kind":"arxiv","id":"2407.12319","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12319","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12319v1","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12319","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"pith_short_12","alias_value":"2VTPTI7YMGYZ","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"pith_short_16","alias_value":"2VTPTI7YMGYZYFFI","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"pith_short_8","alias_value":"2VTPTI7Y","created_at":"2026-07-05T08:45:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2VTPTI7YMGYZYFFI4KGY3EVOEV","target":"record","payload":{"canonical_record":{"source":{"id":"2407.12319","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T05:26:58Z","cross_cats_sorted":[],"title_canon_sha256":"f5b89c58d250981fb09b0378377e3cf610242ac5a815d9edab0f05aaaa9f1f32","abstract_canon_sha256":"462d156d0aa0356461de8977c3257ae12e3cb013ebc011e0b0fde08fcb52e2fc"},"schema_version":"1.0"},"canonical_sha256":"d566f9a3f861b19c14a8e28d8d92ae256dd67e2adfdaf7dd1d723f66cfe65576","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:45:02.856175Z","signature_b64":"sCrfUd7T/ixv6KitSekS6CMGAVvPh6ydtXq5K5bH+Xk9o8mMDCDJGiidPxaqU4OLgxRt3XreFoX7dhSw59cQCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d566f9a3f861b19c14a8e28d8d92ae256dd67e2adfdaf7dd1d723f66cfe65576","last_reissued_at":"2026-07-05T08:45:02.855667Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:45:02.855667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.12319","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":"2026-07-05T08:45:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ualfZPYJd7J+2udyLlm66+tre7IoUvcwJ9pAcy9B34YUA216sUfwKbCeBHr19Lf5BEt8/oecYxm3rxTo46ZhBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:19:46.770093Z"},"content_sha256":"34a457bd5f27233dd8c6381b63c9746f9dc15537e9f4f964c7513d2ed7fce13e","schema_version":"1.0","event_id":"sha256:34a457bd5f27233dd8c6381b63c9746f9dc15537e9f4f964c7513d2ed7fce13e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2VTPTI7YMGYZYFFI4KGY3EVOEV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoming Luo, Jingzhi Zhai, Kang Xu, Tao Wang, Wei Wen","submitted_at":"2024-07-17T05:26:58Z","abstract_excerpt":"Point cloud segmentation is crucial for robotic visual perception and environmental understanding, enabling applications such as robotic navigation and 3D reconstruction. However, handling the sparse and unordered nature of point cloud data presents challenges for efficient and accurate segmentation. Inspired by the Mamba model's success in natural language processing, we propose the Serialized Point Cloud Mamba Segmentation Model (Serialized Point Mamba), which leverages a state-space model to dynamically compress sequences, reduce memory usage, and enhance computational efficiency. Serialize"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12319","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/2407.12319/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":"2026-07-05T08:45:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UcUCEEFc7MfdUy/YYbAy/ltKXs1pCOlVIeBYMm8jDJPO9eyJoiKdak3DEeIeg9kFtUlHt6IWz7uB9HkPwP//Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:19:46.770578Z"},"content_sha256":"afb4ffb970d17b64bd3b64bcdec90a6daf2c702e449c6522d392bcd4bdf4c4e1","schema_version":"1.0","event_id":"sha256:afb4ffb970d17b64bd3b64bcdec90a6daf2c702e449c6522d392bcd4bdf4c4e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV/bundle.json","state_url":"https://pith.science/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV/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":"2026-08-09T00:19:46Z","links":{"resolver":"https://pith.science/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV","bundle":"https://pith.science/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV/bundle.json","state":"https://pith.science/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2VTPTI7YMGYZYFFI4KGY3EVOEV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2VTPTI7YMGYZYFFI4KGY3EVOEV","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":"462d156d0aa0356461de8977c3257ae12e3cb013ebc011e0b0fde08fcb52e2fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T05:26:58Z","title_canon_sha256":"f5b89c58d250981fb09b0378377e3cf610242ac5a815d9edab0f05aaaa9f1f32"},"schema_version":"1.0","source":{"id":"2407.12319","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12319","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12319v1","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12319","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"pith_short_12","alias_value":"2VTPTI7YMGYZ","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"pith_short_16","alias_value":"2VTPTI7YMGYZYFFI","created_at":"2026-07-05T08:45:02Z"},{"alias_kind":"pith_short_8","alias_value":"2VTPTI7Y","created_at":"2026-07-05T08:45:02Z"}],"graph_snapshots":[{"event_id":"sha256:afb4ffb970d17b64bd3b64bcdec90a6daf2c702e449c6522d392bcd4bdf4c4e1","target":"graph","created_at":"2026-07-05T08:45:02Z","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/2407.12319/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Point cloud segmentation is crucial for robotic visual perception and environmental understanding, enabling applications such as robotic navigation and 3D reconstruction. However, handling the sparse and unordered nature of point cloud data presents challenges for efficient and accurate segmentation. Inspired by the Mamba model's success in natural language processing, we propose the Serialized Point Cloud Mamba Segmentation Model (Serialized Point Mamba), which leverages a state-space model to dynamically compress sequences, reduce memory usage, and enhance computational efficiency. Serialize","authors_text":"Haoming Luo, Jingzhi Zhai, Kang Xu, Tao Wang, Wei Wen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T05:26:58Z","title":"Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12319","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":"sha256:34a457bd5f27233dd8c6381b63c9746f9dc15537e9f4f964c7513d2ed7fce13e","target":"record","created_at":"2026-07-05T08:45:02Z","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":"462d156d0aa0356461de8977c3257ae12e3cb013ebc011e0b0fde08fcb52e2fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T05:26:58Z","title_canon_sha256":"f5b89c58d250981fb09b0378377e3cf610242ac5a815d9edab0f05aaaa9f1f32"},"schema_version":"1.0","source":{"id":"2407.12319","kind":"arxiv","version":1}},"canonical_sha256":"d566f9a3f861b19c14a8e28d8d92ae256dd67e2adfdaf7dd1d723f66cfe65576","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d566f9a3f861b19c14a8e28d8d92ae256dd67e2adfdaf7dd1d723f66cfe65576","first_computed_at":"2026-07-05T08:45:02.855667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:02.855667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sCrfUd7T/ixv6KitSekS6CMGAVvPh6ydtXq5K5bH+Xk9o8mMDCDJGiidPxaqU4OLgxRt3XreFoX7dhSw59cQCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:02.856175Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.12319","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34a457bd5f27233dd8c6381b63c9746f9dc15537e9f4f964c7513d2ed7fce13e","sha256:afb4ffb970d17b64bd3b64bcdec90a6daf2c702e449c6522d392bcd4bdf4c4e1"],"state_sha256":"6684a1100f7e80a8f250ba76cae3e2922b6734547bf41e197bdc50c99995f34d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lMZ9tbHLNAja6oHmEBaMG9re+qfFeOnRdLppjpc2G4LDDenymq/PGzgkeBbcLsyb6NvyMY2UsF2YRyGgqHOHBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:19:46.773879Z","bundle_sha256":"34371de83310cec18ec9db61901626fbe2c053aef2e3dc49bd388a5758ad1bb6"}}