{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2HTCD7C4P36PLRWBQIL45DLJBS","short_pith_number":"pith:2HTCD7C4","canonical_record":{"source":{"id":"2409.12720","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T12:30:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5e8edcd62359685ad19cc77db05854ec94a2cb0a3b09c4c2d71a9fa36a059f01","abstract_canon_sha256":"55c509bed57471962b3d5f5447c15ac5d5d4d745922a31fbc2b7280588fce82b"},"schema_version":"1.0"},"canonical_sha256":"d1e621fc5c7efcf5c6c18217ce8d690c834abdc3285e8200ba680fb7a35f6c4e","source":{"kind":"arxiv","id":"2409.12720","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12720","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12720v1","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12720","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"2HTCD7C4P36P","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"2HTCD7C4P36PLRWB","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"2HTCD7C4","created_at":"2026-07-05T09:09:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2HTCD7C4P36PLRWBQIL45DLJBS","target":"record","payload":{"canonical_record":{"source":{"id":"2409.12720","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T12:30:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5e8edcd62359685ad19cc77db05854ec94a2cb0a3b09c4c2d71a9fa36a059f01","abstract_canon_sha256":"55c509bed57471962b3d5f5447c15ac5d5d4d745922a31fbc2b7280588fce82b"},"schema_version":"1.0"},"canonical_sha256":"d1e621fc5c7efcf5c6c18217ce8d690c834abdc3285e8200ba680fb7a35f6c4e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:11.261258Z","signature_b64":"y+8n4lbpth0WW7AOiNTsrr/vDcnwkGBQ4bpC7lMtiwnek3NgModOmjyEPJeaF6V31rtmrML4MDsdVk4GeVPNCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d1e621fc5c7efcf5c6c18217ce8d690c834abdc3285e8200ba680fb7a35f6c4e","last_reissued_at":"2026-07-05T09:09:11.260841Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:11.260841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.12720","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":"2026-07-05T09:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oXhuzvIJFbk3hENdwQw0Hrfiocl94rTSXtp6XMuMFnJAQ9zrHt6jiHSyBo8rz0B6Z+JIz0oPx/+g51srbTXaDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T22:04:47.697967Z"},"content_sha256":"dc9687a16382163462c3b4f37f195f88441789326f85d03fe7b149371a4dd3fb","schema_version":"1.0","event_id":"sha256:dc9687a16382163462c3b4f37f195f88441789326f85d03fe7b149371a4dd3fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2HTCD7C4P36PLRWBQIL45DLJBS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ashwin Pramod, Michael Wahl, Thomas P\\\"ollabauer, Volker Knauthe","submitted_at":"2024-09-18T12:30:02Z","abstract_excerpt":"6D object pose estimation involves determining the three-dimensional translation and rotation of an object within a scene and relative to a chosen coordinate system. This problem is of particular interest for many practical applications in industrial tasks such as quality control, bin picking, and robotic manipulation, where both speed and accuracy are critical for real-world deployment. Current models, both classical and deep-learning-based, often struggle with the trade-off between accuracy and latency. Our research focuses on enhancing the speed of a prominent state-of-the-art deep learning"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12720","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/2409.12720/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":"2026-07-05T09:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+r5/+K4+dd4tVyOCtxmW8lmFOzZxs1003gwFfNfVmiGaav6JyF5gIn2F401cCBeHgc9W7pWEt0j/QBdCBG4jAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T22:04:47.698350Z"},"content_sha256":"7b8ce4d7b37281dbfdd369b5a13ea28e5e590a19bae75ad011c911c0db1595d4","schema_version":"1.0","event_id":"sha256:7b8ce4d7b37281dbfdd369b5a13ea28e5e590a19bae75ad011c911c0db1595d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2HTCD7C4P36PLRWBQIL45DLJBS/bundle.json","state_url":"https://pith.science/pith/2HTCD7C4P36PLRWBQIL45DLJBS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2HTCD7C4P36PLRWBQIL45DLJBS/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":"2026-07-08T22:04:47Z","links":{"resolver":"https://pith.science/pith/2HTCD7C4P36PLRWBQIL45DLJBS","bundle":"https://pith.science/pith/2HTCD7C4P36PLRWBQIL45DLJBS/bundle.json","state":"https://pith.science/pith/2HTCD7C4P36PLRWBQIL45DLJBS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2HTCD7C4P36PLRWBQIL45DLJBS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2HTCD7C4P36PLRWBQIL45DLJBS","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":"55c509bed57471962b3d5f5447c15ac5d5d4d745922a31fbc2b7280588fce82b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T12:30:02Z","title_canon_sha256":"5e8edcd62359685ad19cc77db05854ec94a2cb0a3b09c4c2d71a9fa36a059f01"},"schema_version":"1.0","source":{"id":"2409.12720","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12720","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12720v1","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12720","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"2HTCD7C4P36P","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"2HTCD7C4P36PLRWB","created_at":"2026-07-05T09:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"2HTCD7C4","created_at":"2026-07-05T09:09:11Z"}],"graph_snapshots":[{"event_id":"sha256:7b8ce4d7b37281dbfdd369b5a13ea28e5e590a19bae75ad011c911c0db1595d4","target":"graph","created_at":"2026-07-05T09:09:11Z","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/2409.12720/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"6D object pose estimation involves determining the three-dimensional translation and rotation of an object within a scene and relative to a chosen coordinate system. This problem is of particular interest for many practical applications in industrial tasks such as quality control, bin picking, and robotic manipulation, where both speed and accuracy are critical for real-world deployment. Current models, both classical and deep-learning-based, often struggle with the trade-off between accuracy and latency. Our research focuses on enhancing the speed of a prominent state-of-the-art deep learning","authors_text":"Ashwin Pramod, Michael Wahl, Thomas P\\\"ollabauer, Volker Knauthe","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T12:30:02Z","title":"FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12720","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:dc9687a16382163462c3b4f37f195f88441789326f85d03fe7b149371a4dd3fb","target":"record","created_at":"2026-07-05T09:09:11Z","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":"55c509bed57471962b3d5f5447c15ac5d5d4d745922a31fbc2b7280588fce82b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T12:30:02Z","title_canon_sha256":"5e8edcd62359685ad19cc77db05854ec94a2cb0a3b09c4c2d71a9fa36a059f01"},"schema_version":"1.0","source":{"id":"2409.12720","kind":"arxiv","version":1}},"canonical_sha256":"d1e621fc5c7efcf5c6c18217ce8d690c834abdc3285e8200ba680fb7a35f6c4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d1e621fc5c7efcf5c6c18217ce8d690c834abdc3285e8200ba680fb7a35f6c4e","first_computed_at":"2026-07-05T09:09:11.260841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:11.260841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y+8n4lbpth0WW7AOiNTsrr/vDcnwkGBQ4bpC7lMtiwnek3NgModOmjyEPJeaF6V31rtmrML4MDsdVk4GeVPNCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:11.261258Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.12720","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc9687a16382163462c3b4f37f195f88441789326f85d03fe7b149371a4dd3fb","sha256:7b8ce4d7b37281dbfdd369b5a13ea28e5e590a19bae75ad011c911c0db1595d4"],"state_sha256":"724dec3b254760ea52448e89e87d41563876be04a425010115e3324d2428fcbe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZWtmcQRrzdQthgLJsS6kb1fjTSwywtGXNZX1wOXaNZPuKAZev2Y6vEw2Vf7jDbhg2NSb5BKjbQhpoWXiI6K/CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T22:04:47.700470Z","bundle_sha256":"31954d4cc97b5667ac3d60a7b1a62eabab68affa82591dc7a041e09ac579a99b"}}