{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2ROIHL2U53UNAC2J5YIQ5BM2EZ","short_pith_number":"pith:2ROIHL2U","canonical_record":{"source":{"id":"2504.04701","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T03:06:07Z","cross_cats_sorted":[],"title_canon_sha256":"08484bd39255dfc0af357e5a39d0b185c97f4a4724fbd5c242019ae593f4b89c","abstract_canon_sha256":"0c672a02afcb60c97a10540bfae991ac1eb1c7bbf014686a75e18d45e446d693"},"schema_version":"1.0"},"canonical_sha256":"d45c83af54eee8d00b49ee110e859a2648f180438afe73ce9db67bfb8e3e4b6e","source":{"kind":"arxiv","id":"2504.04701","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.04701","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"arxiv_version","alias_value":"2504.04701v1","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.04701","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"pith_short_12","alias_value":"2ROIHL2U53UN","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"pith_short_16","alias_value":"2ROIHL2U53UNAC2J","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"pith_short_8","alias_value":"2ROIHL2U","created_at":"2026-07-05T10:45:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2ROIHL2U53UNAC2J5YIQ5BM2EZ","target":"record","payload":{"canonical_record":{"source":{"id":"2504.04701","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T03:06:07Z","cross_cats_sorted":[],"title_canon_sha256":"08484bd39255dfc0af357e5a39d0b185c97f4a4724fbd5c242019ae593f4b89c","abstract_canon_sha256":"0c672a02afcb60c97a10540bfae991ac1eb1c7bbf014686a75e18d45e446d693"},"schema_version":"1.0"},"canonical_sha256":"d45c83af54eee8d00b49ee110e859a2648f180438afe73ce9db67bfb8e3e4b6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:28.610605Z","signature_b64":"W8Lh8WvFOvDD9AdnVz+xhwYq3K3rT6uHDG6LnLWWswPrbsoGZ1aIWq5DjLSKYGPefP0kL4Kfs33Kf/cM82uPDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d45c83af54eee8d00b49ee110e859a2648f180438afe73ce9db67bfb8e3e4b6e","last_reissued_at":"2026-07-05T10:45:28.610103Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:28.610103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.04701","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":"2026-07-05T10:45:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1YWvV8Z+r7cM+X6vXDFK6rINYZ+g8MDjakdKE7NI+arOPCKZjKAcOFSEqtTZIiCK/Gx5+cwxvA5NtzL41YJlBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:13:33.890818Z"},"content_sha256":"fd9e55e5f5ae3c363b8992d95972d31dd163f941e1c8aa1fc81c8946207b3eca","schema_version":"1.0","event_id":"sha256:fd9e55e5f5ae3c363b8992d95972d31dd163f941e1c8aa1fc81c8946207b3eca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2ROIHL2U53UNAC2J5YIQ5BM2EZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou","submitted_at":"2025-04-07T03:06:07Z","abstract_excerpt":"Recent advances in scene understanding benefit a lot from depth maps because of the 3D geometry information, especially in complex conditions (e.g., low light and overexposed). Existing approaches encode depth maps along with RGB images and perform feature fusion between them to enable more robust predictions. Taking into account that depth can be regarded as a geometry supplement for RGB images, a straightforward question arises: Do we really need to explicitly encode depth information with neural networks as done for RGB images? Based on this insight, in this paper, we investigate a new way "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.04701","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/2504.04701/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":"2026-07-05T10:45:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A6Hy60klhqieIUecZUFOxjxuIvtPirlqs4BzXg7Xaksv2Mlr0uYMwHNrt9efR/k7H3f6XnMGPEFTj+wNo61pAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:13:33.891198Z"},"content_sha256":"3d7412dccc4ca448644fd4f29d3b4eb5432d004a898b5712d7e286d39e6d16ee","schema_version":"1.0","event_id":"sha256:3d7412dccc4ca448644fd4f29d3b4eb5432d004a898b5712d7e286d39e6d16ee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ/bundle.json","state_url":"https://pith.science/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ/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":"2026-07-07T15:13:33Z","links":{"resolver":"https://pith.science/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ","bundle":"https://pith.science/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ/bundle.json","state":"https://pith.science/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ROIHL2U53UNAC2J5YIQ5BM2EZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2ROIHL2U53UNAC2J5YIQ5BM2EZ","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":"0c672a02afcb60c97a10540bfae991ac1eb1c7bbf014686a75e18d45e446d693","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T03:06:07Z","title_canon_sha256":"08484bd39255dfc0af357e5a39d0b185c97f4a4724fbd5c242019ae593f4b89c"},"schema_version":"1.0","source":{"id":"2504.04701","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.04701","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"arxiv_version","alias_value":"2504.04701v1","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.04701","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"pith_short_12","alias_value":"2ROIHL2U53UN","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"pith_short_16","alias_value":"2ROIHL2U53UNAC2J","created_at":"2026-07-05T10:45:28Z"},{"alias_kind":"pith_short_8","alias_value":"2ROIHL2U","created_at":"2026-07-05T10:45:28Z"}],"graph_snapshots":[{"event_id":"sha256:3d7412dccc4ca448644fd4f29d3b4eb5432d004a898b5712d7e286d39e6d16ee","target":"graph","created_at":"2026-07-05T10:45:28Z","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/2504.04701/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in scene understanding benefit a lot from depth maps because of the 3D geometry information, especially in complex conditions (e.g., low light and overexposed). Existing approaches encode depth maps along with RGB images and perform feature fusion between them to enable more robust predictions. Taking into account that depth can be regarded as a geometry supplement for RGB images, a straightforward question arises: Do we really need to explicitly encode depth information with neural networks as done for RGB images? Based on this insight, in this paper, we investigate a new way ","authors_text":"Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T03:06:07Z","title":"DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.04701","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:fd9e55e5f5ae3c363b8992d95972d31dd163f941e1c8aa1fc81c8946207b3eca","target":"record","created_at":"2026-07-05T10:45:28Z","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":"0c672a02afcb60c97a10540bfae991ac1eb1c7bbf014686a75e18d45e446d693","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T03:06:07Z","title_canon_sha256":"08484bd39255dfc0af357e5a39d0b185c97f4a4724fbd5c242019ae593f4b89c"},"schema_version":"1.0","source":{"id":"2504.04701","kind":"arxiv","version":1}},"canonical_sha256":"d45c83af54eee8d00b49ee110e859a2648f180438afe73ce9db67bfb8e3e4b6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d45c83af54eee8d00b49ee110e859a2648f180438afe73ce9db67bfb8e3e4b6e","first_computed_at":"2026-07-05T10:45:28.610103Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:28.610103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W8Lh8WvFOvDD9AdnVz+xhwYq3K3rT6uHDG6LnLWWswPrbsoGZ1aIWq5DjLSKYGPefP0kL4Kfs33Kf/cM82uPDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:28.610605Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.04701","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd9e55e5f5ae3c363b8992d95972d31dd163f941e1c8aa1fc81c8946207b3eca","sha256:3d7412dccc4ca448644fd4f29d3b4eb5432d004a898b5712d7e286d39e6d16ee"],"state_sha256":"2f539e30cb42c29d49726f981946d8b5a729a4321d7f177dba9e5fd8aeb043d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XCcI92pToLPmtbU2xQsL+g2Jm1/wsBVGW8mJ/CUFqGp2BZXp3g7AlTrgL7WskhgCirTmMGHQo/FkJVEj7ushDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:13:33.893265Z","bundle_sha256":"11a4f54cba997d2882be939b9acb60c2c7dd01f2b1cd119b0de44ec57b058649"}}