{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4VDM6NAE5H2FHLAFJJ7E6N2I4S","short_pith_number":"pith:4VDM6NAE","canonical_record":{"source":{"id":"2203.14508","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T05:35:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"68f454c32f78936691ea63efc89eace347585337b2b8e59412a5ae6fbe218ab7","abstract_canon_sha256":"edc631b8d245ba956416541a23ade09fc4cc83ed98f9bfeaa92fda1dcfbdfa9b"},"schema_version":"1.0"},"canonical_sha256":"e546cf3404e9f453ac054a7e4f3748e4af596ba39b80d91e924b66946895e65a","source":{"kind":"arxiv","id":"2203.14508","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14508","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14508v1","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14508","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"4VDM6NAE5H2F","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"4VDM6NAE5H2FHLAF","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"4VDM6NAE","created_at":"2026-07-05T04:09:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4VDM6NAE5H2FHLAFJJ7E6N2I4S","target":"record","payload":{"canonical_record":{"source":{"id":"2203.14508","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T05:35:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"68f454c32f78936691ea63efc89eace347585337b2b8e59412a5ae6fbe218ab7","abstract_canon_sha256":"edc631b8d245ba956416541a23ade09fc4cc83ed98f9bfeaa92fda1dcfbdfa9b"},"schema_version":"1.0"},"canonical_sha256":"e546cf3404e9f453ac054a7e4f3748e4af596ba39b80d91e924b66946895e65a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:05.861260Z","signature_b64":"1ypoXRBslW+Oi+tuj4PemUpK6rsw+zte4qRoBy/V2faqd+yHI2QGJX12NxG4tyhnd+XuHTVbbzlD4OUD0//PCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e546cf3404e9f453ac054a7e4f3748e4af596ba39b80d91e924b66946895e65a","last_reissued_at":"2026-07-05T04:09:05.860801Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:05.860801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.14508","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":"2026-07-05T04:09:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EMrs2MFcpEtVzm097ihrpt9g5dIk9jre6a853ZL6zZ46/63w+T2RC36tUHrQqRSCH3PNbgh8rFucJFHCxaZZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:49:38.261448Z"},"content_sha256":"9a0294d34b2ffe6ff7e20bb0a0e0cfc48d508a9ea0c638ce40f42984bef861cc","schema_version":"1.0","event_id":"sha256:9a0294d34b2ffe6ff7e20bb0a0e0cfc48d508a9ea0c638ce40f42984bef861cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4VDM6NAE5H2FHLAFJJ7E6N2I4S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stratified Transformer for 3D Point Cloud Segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hengshuang Zhao, Jianhui Liu, Jiaya Jia, Li Jiang, Liwei Wang, Shu Liu, Xiaojuan Qi, Xin Lai","submitted_at":"2022-03-28T05:35:16Z","abstract_excerpt":"3D point cloud segmentation has made tremendous progress in recent years. Most current methods focus on aggregating local features, but fail to directly model long-range dependencies. In this paper, we propose Stratified Transformer that is able to capture long-range contexts and demonstrates strong generalization ability and high performance. Specifically, we first put forward a novel key sampling strategy. For each query point, we sample nearby points densely and distant points sparsely as its keys in a stratified way, which enables the model to enlarge the effective receptive field and enjo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14508","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/2203.14508/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":"2026-07-05T04:09:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8xOj3JYW+0+H8bboFnL+d/dXmoyfdT1So/sk/8FaDXu5JVoV276PeY2iaXSjdRtbAx5Ib020CUHkuc72rS2YDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:49:38.261757Z"},"content_sha256":"3e7436611d866dd95eb72686b49cb11d695b55e2cc1a20ce0f4f15aae9d4c8e2","schema_version":"1.0","event_id":"sha256:3e7436611d866dd95eb72686b49cb11d695b55e2cc1a20ce0f4f15aae9d4c8e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S/bundle.json","state_url":"https://pith.science/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S/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":"2026-08-14T06:49:38Z","links":{"resolver":"https://pith.science/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S","bundle":"https://pith.science/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S/bundle.json","state":"https://pith.science/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4VDM6NAE5H2FHLAFJJ7E6N2I4S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4VDM6NAE5H2FHLAFJJ7E6N2I4S","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":"edc631b8d245ba956416541a23ade09fc4cc83ed98f9bfeaa92fda1dcfbdfa9b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T05:35:16Z","title_canon_sha256":"68f454c32f78936691ea63efc89eace347585337b2b8e59412a5ae6fbe218ab7"},"schema_version":"1.0","source":{"id":"2203.14508","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14508","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14508v1","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14508","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"4VDM6NAE5H2F","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"4VDM6NAE5H2FHLAF","created_at":"2026-07-05T04:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"4VDM6NAE","created_at":"2026-07-05T04:09:05Z"}],"graph_snapshots":[{"event_id":"sha256:3e7436611d866dd95eb72686b49cb11d695b55e2cc1a20ce0f4f15aae9d4c8e2","target":"graph","created_at":"2026-07-05T04:09:05Z","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/2203.14508/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D point cloud segmentation has made tremendous progress in recent years. Most current methods focus on aggregating local features, but fail to directly model long-range dependencies. In this paper, we propose Stratified Transformer that is able to capture long-range contexts and demonstrates strong generalization ability and high performance. Specifically, we first put forward a novel key sampling strategy. For each query point, we sample nearby points densely and distant points sparsely as its keys in a stratified way, which enables the model to enlarge the effective receptive field and enjo","authors_text":"Hengshuang Zhao, Jianhui Liu, Jiaya Jia, Li Jiang, Liwei Wang, Shu Liu, Xiaojuan Qi, Xin Lai","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T05:35:16Z","title":"Stratified Transformer for 3D Point Cloud Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14508","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":"sha256:9a0294d34b2ffe6ff7e20bb0a0e0cfc48d508a9ea0c638ce40f42984bef861cc","target":"record","created_at":"2026-07-05T04:09:05Z","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":"edc631b8d245ba956416541a23ade09fc4cc83ed98f9bfeaa92fda1dcfbdfa9b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T05:35:16Z","title_canon_sha256":"68f454c32f78936691ea63efc89eace347585337b2b8e59412a5ae6fbe218ab7"},"schema_version":"1.0","source":{"id":"2203.14508","kind":"arxiv","version":1}},"canonical_sha256":"e546cf3404e9f453ac054a7e4f3748e4af596ba39b80d91e924b66946895e65a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e546cf3404e9f453ac054a7e4f3748e4af596ba39b80d91e924b66946895e65a","first_computed_at":"2026-07-05T04:09:05.860801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:05.860801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ypoXRBslW+Oi+tuj4PemUpK6rsw+zte4qRoBy/V2faqd+yHI2QGJX12NxG4tyhnd+XuHTVbbzlD4OUD0//PCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:05.861260Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.14508","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a0294d34b2ffe6ff7e20bb0a0e0cfc48d508a9ea0c638ce40f42984bef861cc","sha256:3e7436611d866dd95eb72686b49cb11d695b55e2cc1a20ce0f4f15aae9d4c8e2"],"state_sha256":"3d13b839463facbab59858960c2a1f0422bfa7c44094e9b39940a71076d2f708"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rqfQgXnLSqY12fuupUbq5D2zbsMDDAhl58ZtHCtAhpgKVDRsneB1YLpzqri2MriQN+G9JNnT/4hHm4s2roxMCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T06:49:38.264752Z","bundle_sha256":"6304cda502a4e2403327ee976b5f38db7596a4dd10bd14a9f879593b7dec6fa5"}}