{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:W2P7GFC3JVOAYYSMKTNUCRLGV5","short_pith_number":"pith:W2P7GFC3","canonical_record":{"source":{"id":"2506.13265","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T09:03:51Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"692a166a300167b2e28ae0b6ac5ff577d5aeaedbcaa990dbb7b8eb7e0f25c55a","abstract_canon_sha256":"c8cbf2b56bda3f1f0de5521dc2d0055be0fd62d578028e2aabe0fd7ef3e6e726"},"schema_version":"1.0"},"canonical_sha256":"b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98","source":{"kind":"arxiv","id":"2506.13265","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13265","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13265v3","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13265","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"pith_short_12","alias_value":"W2P7GFC3JVOA","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"pith_short_16","alias_value":"W2P7GFC3JVOAYYSM","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"pith_short_8","alias_value":"W2P7GFC3","created_at":"2026-07-05T12:03:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:W2P7GFC3JVOAYYSMKTNUCRLGV5","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13265","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T09:03:51Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"692a166a300167b2e28ae0b6ac5ff577d5aeaedbcaa990dbb7b8eb7e0f25c55a","abstract_canon_sha256":"c8cbf2b56bda3f1f0de5521dc2d0055be0fd62d578028e2aabe0fd7ef3e6e726"},"schema_version":"1.0"},"canonical_sha256":"b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:49.196198Z","signature_b64":"1XBRFofoHl848B/DKok3toCAozmy37TYXjmGNuJH6C1/uyT4wJtVeib4DvXT9IDkRcuJj65optiWip2RME31CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98","last_reissued_at":"2026-07-05T12:03:49.195727Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:49.195727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13265","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":"2026-07-05T12:03:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZONPqRQMaUuzUjV3a8BkeHcdtzcQ+HLMFsb/dq7/wLrqHWXQUiRPR8gR0wuFWRGpRhtMbYPwyj6ka0ddRjmvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:24:35.858106Z"},"content_sha256":"6c622b66187f4f726501551e64959d935f8e98233dba3c22ec7949f774d0fb2d","schema_version":"1.0","event_id":"sha256:6c622b66187f4f726501551e64959d935f8e98233dba3c22ec7949f774d0fb2d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:W2P7GFC3JVOAYYSMKTNUCRLGV5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Abhinav Valada, Claudius Gl\\\"aser, Daniele Cattaneo, Florian Drews, Julia Hindel, Rohit Mohan","submitted_at":"2025-06-16T09:03:51Z","abstract_excerpt":"Autonomous vehicles that navigate in open-world environments may encounter previously unseen object classes. However, most existing LiDAR panoptic segmentation models rely on closed-set assumptions, failing to detect unknown object instances. In this work, we propose ULOPS, an uncertainty-guided open-set panoptic segmentation framework that leverages Dirichlet-based evidential learning to model predictive uncertainty. Our architecture incorporates separate decoders for semantic segmentation with uncertainty estimation, embedding with prototype association, and instance center prediction. Durin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13265","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/2506.13265/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":"2026-07-05T12:03:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DpQm8j72vrV/phWTjQXP6iUFgB5fY2FbdaFugxOtayB39zCFkATfgyS3YPsQWZEIxZBDu3zVRVVAI8i7rWpfBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:24:35.858632Z"},"content_sha256":"00dda06a1b89646f1631eb3805f63d180f788bb9b5fd71e88669e9081f742d29","schema_version":"1.0","event_id":"sha256:00dda06a1b89646f1631eb3805f63d180f788bb9b5fd71e88669e9081f742d29"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5/bundle.json","state_url":"https://pith.science/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5/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":"2026-07-07T03:24:35Z","links":{"resolver":"https://pith.science/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5","bundle":"https://pith.science/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5/bundle.json","state":"https://pith.science/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W2P7GFC3JVOAYYSMKTNUCRLGV5","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":"c8cbf2b56bda3f1f0de5521dc2d0055be0fd62d578028e2aabe0fd7ef3e6e726","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T09:03:51Z","title_canon_sha256":"692a166a300167b2e28ae0b6ac5ff577d5aeaedbcaa990dbb7b8eb7e0f25c55a"},"schema_version":"1.0","source":{"id":"2506.13265","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13265","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13265v3","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13265","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"pith_short_12","alias_value":"W2P7GFC3JVOA","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"pith_short_16","alias_value":"W2P7GFC3JVOAYYSM","created_at":"2026-07-05T12:03:49Z"},{"alias_kind":"pith_short_8","alias_value":"W2P7GFC3","created_at":"2026-07-05T12:03:49Z"}],"graph_snapshots":[{"event_id":"sha256:00dda06a1b89646f1631eb3805f63d180f788bb9b5fd71e88669e9081f742d29","target":"graph","created_at":"2026-07-05T12:03:49Z","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/2506.13265/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous vehicles that navigate in open-world environments may encounter previously unseen object classes. However, most existing LiDAR panoptic segmentation models rely on closed-set assumptions, failing to detect unknown object instances. In this work, we propose ULOPS, an uncertainty-guided open-set panoptic segmentation framework that leverages Dirichlet-based evidential learning to model predictive uncertainty. Our architecture incorporates separate decoders for semantic segmentation with uncertainty estimation, embedding with prototype association, and instance center prediction. Durin","authors_text":"Abhinav Valada, Claudius Gl\\\"aser, Daniele Cattaneo, Florian Drews, Julia Hindel, Rohit Mohan","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T09:03:51Z","title":"Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13265","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":"sha256:6c622b66187f4f726501551e64959d935f8e98233dba3c22ec7949f774d0fb2d","target":"record","created_at":"2026-07-05T12:03:49Z","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":"c8cbf2b56bda3f1f0de5521dc2d0055be0fd62d578028e2aabe0fd7ef3e6e726","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T09:03:51Z","title_canon_sha256":"692a166a300167b2e28ae0b6ac5ff577d5aeaedbcaa990dbb7b8eb7e0f25c55a"},"schema_version":"1.0","source":{"id":"2506.13265","kind":"arxiv","version":3}},"canonical_sha256":"b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98","first_computed_at":"2026-07-05T12:03:49.195727Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:49.195727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1XBRFofoHl848B/DKok3toCAozmy37TYXjmGNuJH6C1/uyT4wJtVeib4DvXT9IDkRcuJj65optiWip2RME31CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:49.196198Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13265","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c622b66187f4f726501551e64959d935f8e98233dba3c22ec7949f774d0fb2d","sha256:00dda06a1b89646f1631eb3805f63d180f788bb9b5fd71e88669e9081f742d29"],"state_sha256":"7cbafdc0d3533c1345d5ca1691153860c93c1a475e74d24596a193c4a23d2104"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"59L7OTYDhPzf9K8EHAnEB6aU7xW4AAtFK+1QhLegPq4NLGQlr5Sw0ZJdkut6zKCuCfRTAXOX4PP2q0LqW5VOBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:24:35.861100Z","bundle_sha256":"757ffb5bc25d813a9b2dc38a39488c0d0650b551138d41015029b8bfd0cb35d9"}}