{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:J7JQGXK3TQO2DKCU6VRHVS3VCZ","short_pith_number":"pith:J7JQGXK3","canonical_record":{"source":{"id":"2311.11125","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T17:14:07Z","cross_cats_sorted":[],"title_canon_sha256":"e6d6643ecf857851d2aae9d96c0a1d25847b4e17cd217e5b14ddace8c03a080d","abstract_canon_sha256":"2020a8c5ff63f123f1ee2241909115e4db1084b29e8ffd25346cba76089db3e7"},"schema_version":"1.0"},"canonical_sha256":"4fd3035d5b9c1da1a854f5627acb75166f083e7901c210ece93070f847e14b56","source":{"kind":"arxiv","id":"2311.11125","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11125","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11125v3","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11125","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_12","alias_value":"J7JQGXK3TQO2","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_16","alias_value":"J7JQGXK3TQO2DKCU","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_8","alias_value":"J7JQGXK3","created_at":"2026-07-05T07:59:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:J7JQGXK3TQO2DKCU6VRHVS3VCZ","target":"record","payload":{"canonical_record":{"source":{"id":"2311.11125","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T17:14:07Z","cross_cats_sorted":[],"title_canon_sha256":"e6d6643ecf857851d2aae9d96c0a1d25847b4e17cd217e5b14ddace8c03a080d","abstract_canon_sha256":"2020a8c5ff63f123f1ee2241909115e4db1084b29e8ffd25346cba76089db3e7"},"schema_version":"1.0"},"canonical_sha256":"4fd3035d5b9c1da1a854f5627acb75166f083e7901c210ece93070f847e14b56","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:19.623552Z","signature_b64":"ljsTlMG5FL+0Cergde4On3UU6jP8v6UXuzu4eeL3Xq6lhNh6pKHciE7nS7pDHf91yUuDrrQrosh0TxldXeXPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fd3035d5b9c1da1a854f5627acb75166f083e7901c210ece93070f847e14b56","last_reissued_at":"2026-07-05T07:59:19.623052Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:19.623052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.11125","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":"2026-07-05T07:59:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sUvluk/5iocnKyxU4ee438O3s+fi1mzhwtuoqJZLygDICuY91YWjhIgAG6fLm2/dpisD01AW29KscfOBMp2JDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T12:37:45.664297Z"},"content_sha256":"c26a7eba42ddc3886b04788827b1960b7de995067af7dd20265569da7f47d7a7","schema_version":"1.0","event_id":"sha256:c26a7eba42ddc3886b04788827b1960b7de995067af7dd20265569da7f47d7a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:J7JQGXK3TQO2DKCU6VRHVS3VCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benjamin Busam, Chenyangguang Zhang, Fabian Manhardt, Federico Tombari, Guangyao Zhai, Nassir Navab, Ruida Zhang, Yamei Chen, Yan Di","submitted_at":"2023-11-18T17:14:07Z","abstract_excerpt":"Category-level object pose estimation, aiming to predict the 6D pose and 3D size of objects from known categories, typically struggles with large intra-class shape variation. Existing works utilizing mean shapes often fall short of capturing this variation. To address this issue, we present SecondPose, a novel approach integrating object-specific geometric features with semantic category priors from DINOv2. Leveraging the advantage of DINOv2 in providing SE(3)-consistent semantic features, we hierarchically extract two types of SE(3)-invariant geometric features to further encapsulate local-to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11125","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/2311.11125/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":"2026-07-05T07:59:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xBZQtuuUMjzpZVYez95ddSyby1+l9g1KOQCLn9J20a+4C7b57qtyGAErTh57xvZvkZQJ16jWbNoM5+ILEqCVCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T12:37:45.664693Z"},"content_sha256":"aa923ba577eeb5702cb4c1c01b99eabf1f0ca031f854f79ff8e549a8ef25cc2b","schema_version":"1.0","event_id":"sha256:aa923ba577eeb5702cb4c1c01b99eabf1f0ca031f854f79ff8e549a8ef25cc2b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ/bundle.json","state_url":"https://pith.science/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ/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":"2026-07-06T12:37:45Z","links":{"resolver":"https://pith.science/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ","bundle":"https://pith.science/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ/bundle.json","state":"https://pith.science/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J7JQGXK3TQO2DKCU6VRHVS3VCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:J7JQGXK3TQO2DKCU6VRHVS3VCZ","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":"2020a8c5ff63f123f1ee2241909115e4db1084b29e8ffd25346cba76089db3e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T17:14:07Z","title_canon_sha256":"e6d6643ecf857851d2aae9d96c0a1d25847b4e17cd217e5b14ddace8c03a080d"},"schema_version":"1.0","source":{"id":"2311.11125","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11125","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11125v3","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11125","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_12","alias_value":"J7JQGXK3TQO2","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_16","alias_value":"J7JQGXK3TQO2DKCU","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_8","alias_value":"J7JQGXK3","created_at":"2026-07-05T07:59:19Z"}],"graph_snapshots":[{"event_id":"sha256:aa923ba577eeb5702cb4c1c01b99eabf1f0ca031f854f79ff8e549a8ef25cc2b","target":"graph","created_at":"2026-07-05T07:59:19Z","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/2311.11125/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Category-level object pose estimation, aiming to predict the 6D pose and 3D size of objects from known categories, typically struggles with large intra-class shape variation. Existing works utilizing mean shapes often fall short of capturing this variation. To address this issue, we present SecondPose, a novel approach integrating object-specific geometric features with semantic category priors from DINOv2. Leveraging the advantage of DINOv2 in providing SE(3)-consistent semantic features, we hierarchically extract two types of SE(3)-invariant geometric features to further encapsulate local-to","authors_text":"Benjamin Busam, Chenyangguang Zhang, Fabian Manhardt, Federico Tombari, Guangyao Zhai, Nassir Navab, Ruida Zhang, Yamei Chen, Yan Di","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T17:14:07Z","title":"SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11125","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:c26a7eba42ddc3886b04788827b1960b7de995067af7dd20265569da7f47d7a7","target":"record","created_at":"2026-07-05T07:59:19Z","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":"2020a8c5ff63f123f1ee2241909115e4db1084b29e8ffd25346cba76089db3e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T17:14:07Z","title_canon_sha256":"e6d6643ecf857851d2aae9d96c0a1d25847b4e17cd217e5b14ddace8c03a080d"},"schema_version":"1.0","source":{"id":"2311.11125","kind":"arxiv","version":3}},"canonical_sha256":"4fd3035d5b9c1da1a854f5627acb75166f083e7901c210ece93070f847e14b56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fd3035d5b9c1da1a854f5627acb75166f083e7901c210ece93070f847e14b56","first_computed_at":"2026-07-05T07:59:19.623052Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:19.623052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ljsTlMG5FL+0Cergde4On3UU6jP8v6UXuzu4eeL3Xq6lhNh6pKHciE7nS7pDHf91yUuDrrQrosh0TxldXeXPCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:19.623552Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.11125","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c26a7eba42ddc3886b04788827b1960b7de995067af7dd20265569da7f47d7a7","sha256:aa923ba577eeb5702cb4c1c01b99eabf1f0ca031f854f79ff8e549a8ef25cc2b"],"state_sha256":"4d2bf729320efd7ec9af2fa854724e90aa056d3a1d21459c89b842dd8da11a6b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F9TQTPeKvbICpecy0SPCVL3LijKiZSvALPKmWg2GHkRLb4HE2xt/W7OHZH9q3DUxZNVD8AFddNNX021je7SGDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T12:37:45.666698Z","bundle_sha256":"1f7d3e9511fe76836fb7414bb2769998a452e1996800d0a6622ff831151671f6"}}