{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5G5HRALQYBVUULFB3EBZWD6W2V","short_pith_number":"pith:5G5HRALQ","canonical_record":{"source":{"id":"2508.11265","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T07:02:08Z","cross_cats_sorted":[],"title_canon_sha256":"d442d8585dce5638d97fcbe2d63c581d1405a4a776d3b87f7e712d7318a972f1","abstract_canon_sha256":"77662fcdd5932458ffb2a68b102bebe545684a6b34258a3faefb52a88119cb04"},"schema_version":"1.0"},"canonical_sha256":"e9ba788170c06b4a2ca1d9039b0fd6d573d63b95cc5b343a2d0a8c0dcc38b566","source":{"kind":"arxiv","id":"2508.11265","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11265","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11265v1","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11265","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"5G5HRALQYBVU","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"pith_short_16","alias_value":"5G5HRALQYBVUULFB","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"pith_short_8","alias_value":"5G5HRALQ","created_at":"2026-07-05T11:54:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5G5HRALQYBVUULFB3EBZWD6W2V","target":"record","payload":{"canonical_record":{"source":{"id":"2508.11265","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T07:02:08Z","cross_cats_sorted":[],"title_canon_sha256":"d442d8585dce5638d97fcbe2d63c581d1405a4a776d3b87f7e712d7318a972f1","abstract_canon_sha256":"77662fcdd5932458ffb2a68b102bebe545684a6b34258a3faefb52a88119cb04"},"schema_version":"1.0"},"canonical_sha256":"e9ba788170c06b4a2ca1d9039b0fd6d573d63b95cc5b343a2d0a8c0dcc38b566","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:21.760122Z","signature_b64":"ucwoLPLS7DZ7ZBrnt1QEcos/+9AlQzFSc9m7eqhdFJo9VNvSwMfQHPFknwcSwSHjJHdVL7EU1CQ4k7dY5G4fAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9ba788170c06b4a2ca1d9039b0fd6d573d63b95cc5b343a2d0a8c0dcc38b566","last_reissued_at":"2026-07-05T11:54:21.759634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:21.759634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.11265","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":"2026-07-05T11:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CgaJ0bs6USylgx5sWWF3iEjdtk9HhH6Aw9OEkqy2et1X3NvdoGcQeyDAnC1DG3lDP/bXHT2mnHyl7xy5QEy3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:20:15.576226Z"},"content_sha256":"63d8c418b511778f6b82dc17c77f78bff26341d31673bd98b37f2393c838deca","schema_version":"1.0","event_id":"sha256:63d8c418b511778f6b82dc17c77f78bff26341d31673bd98b37f2393c838deca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5G5HRALQYBVUULFB3EBZWD6W2V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fang Liu, Licheng Jiao, Lingling Li, Pei He, Ronghua Shang, Shuang Wang, Wenping Ma, Xu Liu","submitted_at":"2025-08-15T07:02:08Z","abstract_excerpt":"Domain generalization in 3D segmentation is a critical challenge in deploying models to unseen environments. Current methods mitigate the domain shift by augmenting the data distribution of point clouds. However, the model learns global geometric patterns in point clouds while ignoring the category-level distribution and alignment. In this paper, a category-level geometry learning framework is proposed to explore the domain-invariant geometric features for domain generalized 3D semantic segmentation. Specifically, Category-level Geometry Embedding (CGE) is proposed to perceive the fine-grained"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11265","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/2508.11265/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":"2026-07-05T11:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6SVCpGyejRrfFaoFpYQAm7WjVqSWCYj8/idZmR6ZYHG1cfRqX2YyhrVEPP5Q2MM9JoaIB/vb9odP0DDzgdHwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:20:15.576610Z"},"content_sha256":"c8e7aa12834ac63153f0e60fe8aaca9f6dead4ba917a2adaa2bdcf41abc894ef","schema_version":"1.0","event_id":"sha256:c8e7aa12834ac63153f0e60fe8aaca9f6dead4ba917a2adaa2bdcf41abc894ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5G5HRALQYBVUULFB3EBZWD6W2V/bundle.json","state_url":"https://pith.science/pith/5G5HRALQYBVUULFB3EBZWD6W2V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5G5HRALQYBVUULFB3EBZWD6W2V/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":"2026-07-07T12:20:15Z","links":{"resolver":"https://pith.science/pith/5G5HRALQYBVUULFB3EBZWD6W2V","bundle":"https://pith.science/pith/5G5HRALQYBVUULFB3EBZWD6W2V/bundle.json","state":"https://pith.science/pith/5G5HRALQYBVUULFB3EBZWD6W2V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5G5HRALQYBVUULFB3EBZWD6W2V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5G5HRALQYBVUULFB3EBZWD6W2V","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":"77662fcdd5932458ffb2a68b102bebe545684a6b34258a3faefb52a88119cb04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T07:02:08Z","title_canon_sha256":"d442d8585dce5638d97fcbe2d63c581d1405a4a776d3b87f7e712d7318a972f1"},"schema_version":"1.0","source":{"id":"2508.11265","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11265","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11265v1","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11265","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"5G5HRALQYBVU","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"pith_short_16","alias_value":"5G5HRALQYBVUULFB","created_at":"2026-07-05T11:54:21Z"},{"alias_kind":"pith_short_8","alias_value":"5G5HRALQ","created_at":"2026-07-05T11:54:21Z"}],"graph_snapshots":[{"event_id":"sha256:c8e7aa12834ac63153f0e60fe8aaca9f6dead4ba917a2adaa2bdcf41abc894ef","target":"graph","created_at":"2026-07-05T11:54:21Z","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/2508.11265/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Domain generalization in 3D segmentation is a critical challenge in deploying models to unseen environments. Current methods mitigate the domain shift by augmenting the data distribution of point clouds. However, the model learns global geometric patterns in point clouds while ignoring the category-level distribution and alignment. In this paper, a category-level geometry learning framework is proposed to explore the domain-invariant geometric features for domain generalized 3D semantic segmentation. Specifically, Category-level Geometry Embedding (CGE) is proposed to perceive the fine-grained","authors_text":"Fang Liu, Licheng Jiao, Lingling Li, Pei He, Ronghua Shang, Shuang Wang, Wenping Ma, Xu Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T07:02:08Z","title":"Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11265","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":"sha256:63d8c418b511778f6b82dc17c77f78bff26341d31673bd98b37f2393c838deca","target":"record","created_at":"2026-07-05T11:54:21Z","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":"77662fcdd5932458ffb2a68b102bebe545684a6b34258a3faefb52a88119cb04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T07:02:08Z","title_canon_sha256":"d442d8585dce5638d97fcbe2d63c581d1405a4a776d3b87f7e712d7318a972f1"},"schema_version":"1.0","source":{"id":"2508.11265","kind":"arxiv","version":1}},"canonical_sha256":"e9ba788170c06b4a2ca1d9039b0fd6d573d63b95cc5b343a2d0a8c0dcc38b566","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9ba788170c06b4a2ca1d9039b0fd6d573d63b95cc5b343a2d0a8c0dcc38b566","first_computed_at":"2026-07-05T11:54:21.759634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:21.759634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ucwoLPLS7DZ7ZBrnt1QEcos/+9AlQzFSc9m7eqhdFJo9VNvSwMfQHPFknwcSwSHjJHdVL7EU1CQ4k7dY5G4fAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:21.760122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.11265","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63d8c418b511778f6b82dc17c77f78bff26341d31673bd98b37f2393c838deca","sha256:c8e7aa12834ac63153f0e60fe8aaca9f6dead4ba917a2adaa2bdcf41abc894ef"],"state_sha256":"5d2c5086f9fefb52fc725845505243de1781b36612a54dee91eea1b67a4e2dc7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d3sVF+nCM5B8HUxiA84hP9F1+UalP64c9ezNqx6wbgNQBTepb7SE4pU467F/3CyHXg8xTQvUqAFBFexsxx+9BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:20:15.578950Z","bundle_sha256":"6be782aefba54e05814b355b785dfaf03ebe6202b3da4ba850c238bffe46b784"}}