{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:MZMOS4LAECPX3BHAKK4VNQJ54E","short_pith_number":"pith:MZMOS4LA","canonical_record":{"source":{"id":"2009.10569","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-22T14:17:40Z","cross_cats_sorted":[],"title_canon_sha256":"b594f31f64f03eb52b7cf6b5df5788d8419bab41b5923bcd37f66c24806670f4","abstract_canon_sha256":"19318c31b1b9da48cae1e44b8062fde6091e32b2c53e0056df401a187abd2103"},"schema_version":"1.0"},"canonical_sha256":"6658e97160209f7d84e052b956c13de106ed2f7af1df11ac582e21ab33bc96a9","source":{"kind":"arxiv","id":"2009.10569","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.10569","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"arxiv_version","alias_value":"2009.10569v3","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.10569","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"pith_short_12","alias_value":"MZMOS4LAECPX","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"pith_short_16","alias_value":"MZMOS4LAECPX3BHA","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"pith_short_8","alias_value":"MZMOS4LA","created_at":"2026-07-05T01:49:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:MZMOS4LAECPX3BHAKK4VNQJ54E","target":"record","payload":{"canonical_record":{"source":{"id":"2009.10569","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-22T14:17:40Z","cross_cats_sorted":[],"title_canon_sha256":"b594f31f64f03eb52b7cf6b5df5788d8419bab41b5923bcd37f66c24806670f4","abstract_canon_sha256":"19318c31b1b9da48cae1e44b8062fde6091e32b2c53e0056df401a187abd2103"},"schema_version":"1.0"},"canonical_sha256":"6658e97160209f7d84e052b956c13de106ed2f7af1df11ac582e21ab33bc96a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:49:54.941448Z","signature_b64":"Cmk12k55v1J2UggNhCPKAn8/8t281pnL2AUh2tu7Uh/w3anwVeBZHjjOa0fvicPTd+P2GeMwxwKpftF7BK8kDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6658e97160209f7d84e052b956c13de106ed2f7af1df11ac582e21ab33bc96a9","last_reissued_at":"2026-07-05T01:49:54.941024Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:49:54.941024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.10569","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":"2026-07-05T01:49:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iItXxCAcUg4e7DpluIrb4EBV/JBPX7cZjJ1HKgEOlnvStXcSQL3C2xpzp63ulfH6kwb0ZD+rARP/daAKihuoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T14:25:24.305008Z"},"content_sha256":"5077fef36f0554af058b410c0a440fb4c3236d8bcf15271d56568bfa962db1df","schema_version":"1.0","event_id":"sha256:5077fef36f0554af058b410c0a440fb4c3236d8bcf15271d56568bfa962db1df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:MZMOS4LAECPX3BHAKK4VNQJ54E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dengxin Dai, Luc Van Gool, Ozan Unal","submitted_at":"2020-09-22T14:17:40Z","abstract_excerpt":"Point cloud semantic segmentation plays an essential role in autonomous driving, providing vital information about drivable surfaces and nearby objects that can aid higher level tasks such as path planning and collision avoidance. While current 3D semantic segmentation networks focus on convolutional architectures that perform great for well represented classes, they show a significant drop in performance for underrepresented classes that share similar geometric features. We propose a novel Detection Aware 3D Semantic Segmentation (DASS) framework that explicitly leverages localization feature"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.10569","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/2009.10569/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":"2026-07-05T01:49:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HsnIc0WRHM2pFwSHjQKrcOFb3BmOMmpVtszu2OWtTBlz659xTMYr+6Xyw2Y/37H5JPMSftoCvwFHtAtVgxCeDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T14:25:24.305400Z"},"content_sha256":"f13e4a425ae421b798453db3fef0aafc5f4c601178ea2fca96b04d19a5647263","schema_version":"1.0","event_id":"sha256:f13e4a425ae421b798453db3fef0aafc5f4c601178ea2fca96b04d19a5647263"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MZMOS4LAECPX3BHAKK4VNQJ54E/bundle.json","state_url":"https://pith.science/pith/MZMOS4LAECPX3BHAKK4VNQJ54E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MZMOS4LAECPX3BHAKK4VNQJ54E/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":"2026-07-13T14:25:24Z","links":{"resolver":"https://pith.science/pith/MZMOS4LAECPX3BHAKK4VNQJ54E","bundle":"https://pith.science/pith/MZMOS4LAECPX3BHAKK4VNQJ54E/bundle.json","state":"https://pith.science/pith/MZMOS4LAECPX3BHAKK4VNQJ54E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MZMOS4LAECPX3BHAKK4VNQJ54E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:MZMOS4LAECPX3BHAKK4VNQJ54E","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":"19318c31b1b9da48cae1e44b8062fde6091e32b2c53e0056df401a187abd2103","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-22T14:17:40Z","title_canon_sha256":"b594f31f64f03eb52b7cf6b5df5788d8419bab41b5923bcd37f66c24806670f4"},"schema_version":"1.0","source":{"id":"2009.10569","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.10569","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"arxiv_version","alias_value":"2009.10569v3","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.10569","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"pith_short_12","alias_value":"MZMOS4LAECPX","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"pith_short_16","alias_value":"MZMOS4LAECPX3BHA","created_at":"2026-07-05T01:49:54Z"},{"alias_kind":"pith_short_8","alias_value":"MZMOS4LA","created_at":"2026-07-05T01:49:54Z"}],"graph_snapshots":[{"event_id":"sha256:f13e4a425ae421b798453db3fef0aafc5f4c601178ea2fca96b04d19a5647263","target":"graph","created_at":"2026-07-05T01:49:54Z","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/2009.10569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Point cloud semantic segmentation plays an essential role in autonomous driving, providing vital information about drivable surfaces and nearby objects that can aid higher level tasks such as path planning and collision avoidance. While current 3D semantic segmentation networks focus on convolutional architectures that perform great for well represented classes, they show a significant drop in performance for underrepresented classes that share similar geometric features. We propose a novel Detection Aware 3D Semantic Segmentation (DASS) framework that explicitly leverages localization feature","authors_text":"Dengxin Dai, Luc Van Gool, Ozan Unal","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-22T14:17:40Z","title":"Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.10569","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":"sha256:5077fef36f0554af058b410c0a440fb4c3236d8bcf15271d56568bfa962db1df","target":"record","created_at":"2026-07-05T01:49:54Z","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":"19318c31b1b9da48cae1e44b8062fde6091e32b2c53e0056df401a187abd2103","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-22T14:17:40Z","title_canon_sha256":"b594f31f64f03eb52b7cf6b5df5788d8419bab41b5923bcd37f66c24806670f4"},"schema_version":"1.0","source":{"id":"2009.10569","kind":"arxiv","version":3}},"canonical_sha256":"6658e97160209f7d84e052b956c13de106ed2f7af1df11ac582e21ab33bc96a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6658e97160209f7d84e052b956c13de106ed2f7af1df11ac582e21ab33bc96a9","first_computed_at":"2026-07-05T01:49:54.941024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:49:54.941024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cmk12k55v1J2UggNhCPKAn8/8t281pnL2AUh2tu7Uh/w3anwVeBZHjjOa0fvicPTd+P2GeMwxwKpftF7BK8kDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:49:54.941448Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.10569","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5077fef36f0554af058b410c0a440fb4c3236d8bcf15271d56568bfa962db1df","sha256:f13e4a425ae421b798453db3fef0aafc5f4c601178ea2fca96b04d19a5647263"],"state_sha256":"8300ebc3f909c356b4642f2dbfff10656349bf5a713d320b8e9a6d5aa6b35953"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WFW339pJ2uxvCdeMFbZoqXzPWqd2LqmEL3fIqtmwsAi3oAYQ2aAV906tC1q3sWX+v+YHVXUmI8D/mBVS4VLABg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T14:25:24.307643Z","bundle_sha256":"bdee0f0df5a454cb2af8dc306a87df2c0ad9d0c787427425252ebe90478b6e99"}}