{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VGJ3EHM5UT5VF63A76SAG5DNNN","short_pith_number":"pith:VGJ3EHM5","canonical_record":{"source":{"id":"2311.14155","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T18:55:03Z","cross_cats_sorted":[],"title_canon_sha256":"13007b99f69fdd7a5f33f719e448d50a40a061e980b8514a929bde7444b0e02f","abstract_canon_sha256":"070e42f8d2976e32ad7c5f4827e7c8afcd263624e911af315429669a3e520ddd"},"schema_version":"1.0"},"canonical_sha256":"a993b21d9da4fb52fb60ffa403746d6b5515dc2fd0b857ae9112e4285f8e3a4f","source":{"kind":"arxiv","id":"2311.14155","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.14155","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"arxiv_version","alias_value":"2311.14155v2","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.14155","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"pith_short_12","alias_value":"VGJ3EHM5UT5V","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"pith_short_16","alias_value":"VGJ3EHM5UT5VF63A","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"pith_short_8","alias_value":"VGJ3EHM5","created_at":"2026-07-05T07:56:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VGJ3EHM5UT5VF63A76SAG5DNNN","target":"record","payload":{"canonical_record":{"source":{"id":"2311.14155","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T18:55:03Z","cross_cats_sorted":[],"title_canon_sha256":"13007b99f69fdd7a5f33f719e448d50a40a061e980b8514a929bde7444b0e02f","abstract_canon_sha256":"070e42f8d2976e32ad7c5f4827e7c8afcd263624e911af315429669a3e520ddd"},"schema_version":"1.0"},"canonical_sha256":"a993b21d9da4fb52fb60ffa403746d6b5515dc2fd0b857ae9112e4285f8e3a4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:56:19.095992Z","signature_b64":"WQmTsS0I3oAYwLSVBmPhSdgWo/YA+YQ7sNbakjQ95LPAHD/kQfwR4JGJTkodrsHz5qUmwe+sP896V5DQu7WrAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a993b21d9da4fb52fb60ffa403746d6b5515dc2fd0b857ae9112e4285f8e3a4f","last_reissued_at":"2026-07-05T07:56:19.095538Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:56:19.095538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.14155","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:56:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S90FbYH9zmztxAhRDgu9vYO9+xozLAXt4B1CE/WN1iSdJahZLH5VpvM6eFGmnFH8FBLkhdYdx076O1LdCJpDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:09:39.404765Z"},"content_sha256":"5d3648ed81636b3d4f9e395af38c37ae11307f51a111c46fb2b8e7fbc4f4d857","schema_version":"1.0","event_id":"sha256:5d3648ed81636b3d4f9e395af38c37ae11307f51a111c46fb2b8e7fbc4f4d857"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VGJ3EHM5UT5VF63A76SAG5DNNN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mathieu Salzmann, Thibault Groueix, Van Nguyen Nguyen, Vincent Lepetit","submitted_at":"2023-11-23T18:55:03Z","abstract_excerpt":"We present GigaPose, a fast, robust, and accurate method for CAD-based novel object pose estimation in RGB images. GigaPose first leverages discriminative \"templates\", rendered images of the CAD models, to recover the out-of-plane rotation and then uses patch correspondences to estimate the four remaining parameters. Our approach samples templates in only a two-degrees-of-freedom space instead of the usual three and matches the input image to the templates using fast nearest-neighbor search in feature space, results in a speedup factor of 35x compared to the state of the art. Moreover, GigaPos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.14155","kind":"arxiv","version":2},"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/2311.14155/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":"2026-07-05T07:56:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wlh7uckjf3ON3IE+Mj1ZcXCJCjQOE/CD5JLuyUcmlXyjv9Y+dbCuHpTW/dxICs0FLWbo6MXQe3c6x8KUQ1OiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:09:39.405164Z"},"content_sha256":"19f5206bc4a715b98a25e7634723d4d12aaec557361f5024ed9d494a71674bfd","schema_version":"1.0","event_id":"sha256:19f5206bc4a715b98a25e7634723d4d12aaec557361f5024ed9d494a71674bfd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VGJ3EHM5UT5VF63A76SAG5DNNN/bundle.json","state_url":"https://pith.science/pith/VGJ3EHM5UT5VF63A76SAG5DNNN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VGJ3EHM5UT5VF63A76SAG5DNNN/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":"2026-08-13T13:09:39Z","links":{"resolver":"https://pith.science/pith/VGJ3EHM5UT5VF63A76SAG5DNNN","bundle":"https://pith.science/pith/VGJ3EHM5UT5VF63A76SAG5DNNN/bundle.json","state":"https://pith.science/pith/VGJ3EHM5UT5VF63A76SAG5DNNN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VGJ3EHM5UT5VF63A76SAG5DNNN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VGJ3EHM5UT5VF63A76SAG5DNNN","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":"070e42f8d2976e32ad7c5f4827e7c8afcd263624e911af315429669a3e520ddd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T18:55:03Z","title_canon_sha256":"13007b99f69fdd7a5f33f719e448d50a40a061e980b8514a929bde7444b0e02f"},"schema_version":"1.0","source":{"id":"2311.14155","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.14155","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"arxiv_version","alias_value":"2311.14155v2","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.14155","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"pith_short_12","alias_value":"VGJ3EHM5UT5V","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"pith_short_16","alias_value":"VGJ3EHM5UT5VF63A","created_at":"2026-07-05T07:56:19Z"},{"alias_kind":"pith_short_8","alias_value":"VGJ3EHM5","created_at":"2026-07-05T07:56:19Z"}],"graph_snapshots":[{"event_id":"sha256:19f5206bc4a715b98a25e7634723d4d12aaec557361f5024ed9d494a71674bfd","target":"graph","created_at":"2026-07-05T07:56:19Z","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/2311.14155/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present GigaPose, a fast, robust, and accurate method for CAD-based novel object pose estimation in RGB images. GigaPose first leverages discriminative \"templates\", rendered images of the CAD models, to recover the out-of-plane rotation and then uses patch correspondences to estimate the four remaining parameters. Our approach samples templates in only a two-degrees-of-freedom space instead of the usual three and matches the input image to the templates using fast nearest-neighbor search in feature space, results in a speedup factor of 35x compared to the state of the art. Moreover, GigaPos","authors_text":"Mathieu Salzmann, Thibault Groueix, Van Nguyen Nguyen, Vincent Lepetit","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T18:55:03Z","title":"GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.14155","kind":"arxiv","version":2},"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":"sha256:5d3648ed81636b3d4f9e395af38c37ae11307f51a111c46fb2b8e7fbc4f4d857","target":"record","created_at":"2026-07-05T07:56:19Z","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":"070e42f8d2976e32ad7c5f4827e7c8afcd263624e911af315429669a3e520ddd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T18:55:03Z","title_canon_sha256":"13007b99f69fdd7a5f33f719e448d50a40a061e980b8514a929bde7444b0e02f"},"schema_version":"1.0","source":{"id":"2311.14155","kind":"arxiv","version":2}},"canonical_sha256":"a993b21d9da4fb52fb60ffa403746d6b5515dc2fd0b857ae9112e4285f8e3a4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a993b21d9da4fb52fb60ffa403746d6b5515dc2fd0b857ae9112e4285f8e3a4f","first_computed_at":"2026-07-05T07:56:19.095538Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:56:19.095538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WQmTsS0I3oAYwLSVBmPhSdgWo/YA+YQ7sNbakjQ95LPAHD/kQfwR4JGJTkodrsHz5qUmwe+sP896V5DQu7WrAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:56:19.095992Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.14155","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d3648ed81636b3d4f9e395af38c37ae11307f51a111c46fb2b8e7fbc4f4d857","sha256:19f5206bc4a715b98a25e7634723d4d12aaec557361f5024ed9d494a71674bfd"],"state_sha256":"7097e650ae7eb0ac41470c8bdeae76f07e299276195711156ceb24b4d436334d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fGyNnFFhXvEkWPeId7cXzDehtGQy+Qv/65fW5F6seiaWMuye3+EzgFlHCjYd27/Un3eGxInkZaD4rO7k2IGDBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T13:09:39.408325Z","bundle_sha256":"68f98c7ec5299801c9774b14a6614da403a4a4ab78f5dddec15dd6aecca8d500"}}