{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:EEO3UVN76MG5R3YNC7F53LT3BO","short_pith_number":"pith:EEO3UVN7","canonical_record":{"source":{"id":"1606.03968","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-13T14:22:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dec8f6b25729aa555275acaea9329199cdac8c6e2132ec303d5eedc9976140a9","abstract_canon_sha256":"2361d785c40f406a102b10b01b35241dc5d857d9f8cbbdb49fd87ef2765a3923"},"schema_version":"1.0"},"canonical_sha256":"211dba55bff30dd8ef0d17cbddae7b0b95bb4ae517ad195f17828d17c76b973e","source":{"kind":"arxiv","id":"1606.03968","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.03968","created_at":"2026-05-18T00:46:16Z"},{"alias_kind":"arxiv_version","alias_value":"1606.03968v2","created_at":"2026-05-18T00:46:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.03968","created_at":"2026-05-18T00:46:16Z"},{"alias_kind":"pith_short_12","alias_value":"EEO3UVN76MG5","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"EEO3UVN76MG5R3YN","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"EEO3UVN7","created_at":"2026-05-18T12:30:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:EEO3UVN76MG5R3YNC7F53LT3BO","target":"record","payload":{"canonical_record":{"source":{"id":"1606.03968","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-13T14:22:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dec8f6b25729aa555275acaea9329199cdac8c6e2132ec303d5eedc9976140a9","abstract_canon_sha256":"2361d785c40f406a102b10b01b35241dc5d857d9f8cbbdb49fd87ef2765a3923"},"schema_version":"1.0"},"canonical_sha256":"211dba55bff30dd8ef0d17cbddae7b0b95bb4ae517ad195f17828d17c76b973e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:16.670183Z","signature_b64":"6d5aK6ESaqySAxcbtVwdoBP/ghQ/lazxCxV5x1gmBYsFYRBUwjAkV2c9Tzo7TOpbVobaj4Z1a6oV9ImRiK4WCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"211dba55bff30dd8ef0d17cbddae7b0b95bb4ae517ad195f17828d17c76b973e","last_reissued_at":"2026-05-18T00:46:16.669675Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:16.669675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.03968","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":"2026-05-18T00:46:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vPUFAa166szGKGxa7PASybvBEJ5aa5yMPqqQ51GsLtrRd1yr/dh3An6/4Ebq0vxoLWFhCDpd+CN3/mJ8jeEuBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-19T23:19:15.056532Z"},"content_sha256":"b4b548b540ed4b9f1fcc7d6373e867b60daa287f0be37c320a7404904e23455a","schema_version":"1.0","event_id":"sha256:b4b548b540ed4b9f1fcc7d6373e867b60daa287f0be37c320a7404904e23455a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:EEO3UVN76MG5R3YNC7F53LT3BO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visual-Inertial-Semantic Scene Representation for 3-D Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jingming Dong, Stefano Soatto, Xiaohan Fei","submitted_at":"2016-06-13T14:22:10Z","abstract_excerpt":"We describe a system to detect objects in three-dimensional space using video and inertial sensors (accelerometer and gyrometer), ubiquitous in modern mobile platforms from phones to drones. Inertials afford the ability to impose class-specific scale priors for objects, and provide a global orientation reference. A minimal sufficient representation, the posterior of semantic (identity) and syntactic (pose) attributes of objects in space, can be decomposed into a geometric term, which can be maintained by a localization-and-mapping filter, and a likelihood function, which can be approximated by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.03968","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":""},"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":"2026-05-18T00:46:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"by53s0fDl1uyzSUHv75EbBgXvUbbzsUEOnNOR7vCU8BU+SawkR2szynHYE2G0uSH5k0m8MfXPKiRiEIeP2f9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-19T23:19:15.056864Z"},"content_sha256":"c136c8aa8f44f3fd26339ed0adc9b7baf073705f3d47c7385ccbb3cc8d5a9c94","schema_version":"1.0","event_id":"sha256:c136c8aa8f44f3fd26339ed0adc9b7baf073705f3d47c7385ccbb3cc8d5a9c94"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EEO3UVN76MG5R3YNC7F53LT3BO/bundle.json","state_url":"https://pith.science/pith/EEO3UVN76MG5R3YNC7F53LT3BO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EEO3UVN76MG5R3YNC7F53LT3BO/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":"2026-06-19T23:19:15Z","links":{"resolver":"https://pith.science/pith/EEO3UVN76MG5R3YNC7F53LT3BO","bundle":"https://pith.science/pith/EEO3UVN76MG5R3YNC7F53LT3BO/bundle.json","state":"https://pith.science/pith/EEO3UVN76MG5R3YNC7F53LT3BO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EEO3UVN76MG5R3YNC7F53LT3BO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:EEO3UVN76MG5R3YNC7F53LT3BO","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":"2361d785c40f406a102b10b01b35241dc5d857d9f8cbbdb49fd87ef2765a3923","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-13T14:22:10Z","title_canon_sha256":"dec8f6b25729aa555275acaea9329199cdac8c6e2132ec303d5eedc9976140a9"},"schema_version":"1.0","source":{"id":"1606.03968","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.03968","created_at":"2026-05-18T00:46:16Z"},{"alias_kind":"arxiv_version","alias_value":"1606.03968v2","created_at":"2026-05-18T00:46:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.03968","created_at":"2026-05-18T00:46:16Z"},{"alias_kind":"pith_short_12","alias_value":"EEO3UVN76MG5","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"EEO3UVN76MG5R3YN","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"EEO3UVN7","created_at":"2026-05-18T12:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:c136c8aa8f44f3fd26339ed0adc9b7baf073705f3d47c7385ccbb3cc8d5a9c94","target":"graph","created_at":"2026-05-18T00:46:16Z","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"},"paper":{"abstract_excerpt":"We describe a system to detect objects in three-dimensional space using video and inertial sensors (accelerometer and gyrometer), ubiquitous in modern mobile platforms from phones to drones. Inertials afford the ability to impose class-specific scale priors for objects, and provide a global orientation reference. A minimal sufficient representation, the posterior of semantic (identity) and syntactic (pose) attributes of objects in space, can be decomposed into a geometric term, which can be maintained by a localization-and-mapping filter, and a likelihood function, which can be approximated by","authors_text":"Jingming Dong, Stefano Soatto, Xiaohan Fei","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-13T14:22:10Z","title":"Visual-Inertial-Semantic Scene Representation for 3-D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.03968","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:b4b548b540ed4b9f1fcc7d6373e867b60daa287f0be37c320a7404904e23455a","target":"record","created_at":"2026-05-18T00:46:16Z","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":"2361d785c40f406a102b10b01b35241dc5d857d9f8cbbdb49fd87ef2765a3923","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-13T14:22:10Z","title_canon_sha256":"dec8f6b25729aa555275acaea9329199cdac8c6e2132ec303d5eedc9976140a9"},"schema_version":"1.0","source":{"id":"1606.03968","kind":"arxiv","version":2}},"canonical_sha256":"211dba55bff30dd8ef0d17cbddae7b0b95bb4ae517ad195f17828d17c76b973e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"211dba55bff30dd8ef0d17cbddae7b0b95bb4ae517ad195f17828d17c76b973e","first_computed_at":"2026-05-18T00:46:16.669675Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:16.669675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6d5aK6ESaqySAxcbtVwdoBP/ghQ/lazxCxV5x1gmBYsFYRBUwjAkV2c9Tzo7TOpbVobaj4Z1a6oV9ImRiK4WCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:16.670183Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.03968","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4b548b540ed4b9f1fcc7d6373e867b60daa287f0be37c320a7404904e23455a","sha256:c136c8aa8f44f3fd26339ed0adc9b7baf073705f3d47c7385ccbb3cc8d5a9c94"],"state_sha256":"f68616c51623ef011365dcffe1975abeee6867ba318712e471e6fd086cabec18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vo1vX3st1SdR0Wjfc0m2bPGV6AUVaLPwEHHghBE7XHCNOD3umQFpyxhJXkQl6CbGAVTC3ZN8pVKh5zNrvHihAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-19T23:19:15.058727Z","bundle_sha256":"5ec2272e11c4e5912e9e7b4b4dd126d48eb29fc88e6187192e99c7b8359ce5dc"}}