{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:I3DFXHXVZNX2CHNNP2OI3VUJOE","short_pith_number":"pith:I3DFXHXV","canonical_record":{"source":{"id":"1711.06064","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-16T12:41:33Z","cross_cats_sorted":["cs.LG","cs.MA","cs.RO"],"title_canon_sha256":"3c4ca42ac8037ed6b35d61d6b14fb7308e7b972df8487171b4b854b1b09745bf","abstract_canon_sha256":"b5afc26ab8f32f6fd2464260d82fb32dff0dd4e3c05b36340b5bd3120275471a"},"schema_version":"1.0"},"canonical_sha256":"46c65b9ef5cb6fa11dad7e9c8dd689711715f83f91215e0ea35a3c0f48bc4bd6","source":{"kind":"arxiv","id":"1711.06064","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06064","created_at":"2026-05-18T00:30:23Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06064v1","created_at":"2026-05-18T00:30:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06064","created_at":"2026-05-18T00:30:23Z"},{"alias_kind":"pith_short_12","alias_value":"I3DFXHXVZNX2","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"I3DFXHXVZNX2CHNN","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"I3DFXHXV","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:I3DFXHXVZNX2CHNNP2OI3VUJOE","target":"record","payload":{"canonical_record":{"source":{"id":"1711.06064","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-16T12:41:33Z","cross_cats_sorted":["cs.LG","cs.MA","cs.RO"],"title_canon_sha256":"3c4ca42ac8037ed6b35d61d6b14fb7308e7b972df8487171b4b854b1b09745bf","abstract_canon_sha256":"b5afc26ab8f32f6fd2464260d82fb32dff0dd4e3c05b36340b5bd3120275471a"},"schema_version":"1.0"},"canonical_sha256":"46c65b9ef5cb6fa11dad7e9c8dd689711715f83f91215e0ea35a3c0f48bc4bd6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:23.413521Z","signature_b64":"1Nl6Kd1Zzxpvy5bcOhmVyv2rGdJi5nc1LnJCbr19kR5eNKFLKRjV2TsFmuknot9QBMouu/TjEvqhN7wfOs1cBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46c65b9ef5cb6fa11dad7e9c8dd689711715f83f91215e0ea35a3c0f48bc4bd6","last_reissued_at":"2026-05-18T00:30:23.412842Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:23.412842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.06064","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":"2026-05-18T00:30:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DegCONyQ+8QfWu/npZ3PRY+EGCBfkOoG1UhJUXBoUDh3cqqqTwhO5mOSv8EISgbJKWww3PDu8yKpna5TS9GzCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T23:20:14.587463Z"},"content_sha256":"43ec73529212d8553456871fc3cb6326cd1b738e76aedabfdb35cab7af491ad8","schema_version":"1.0","event_id":"sha256:43ec73529212d8553456871fc3cb6326cd1b738e76aedabfdb35cab7af491ad8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:I3DFXHXVZNX2CHNNP2OI3VUJOE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MA","cs.RO"],"primary_cat":"stat.ML","authors_text":"Kian Hsiang Low, Ruofei Ouyang","submitted_at":"2017-11-16T12:41:33Z","abstract_excerpt":"This paper presents novel Gaussian process decentralized data fusion algorithms exploiting the notion of agent-centric support sets for distributed cooperative perception of large-scale environmental phenomena. To overcome the limitations of scale in existing works, our proposed algorithms allow every mobile sensing agent to choose a different support set and dynamically switch to another during execution for encapsulating its own data into a local summary that, perhaps surprisingly, can still be assimilated with the other agents' local summaries (i.e., based on their current choices of suppor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06064","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":""},"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":"2026-05-18T00:30:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y8pLXCDUhL6wfvRacdUfo5/DiD8acD0Q7WsZOJJerqAprU53JJ/Nkl3RxrRccosohz8EKEOX7nw9ngCF9ljvBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T23:20:14.587813Z"},"content_sha256":"9a096aba7de9c72f6ab23241bb89586744edda4e6dc53f91ea70dc3c5c34f7f4","schema_version":"1.0","event_id":"sha256:9a096aba7de9c72f6ab23241bb89586744edda4e6dc53f91ea70dc3c5c34f7f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE/bundle.json","state_url":"https://pith.science/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE/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":"2026-06-23T23:20:14Z","links":{"resolver":"https://pith.science/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE","bundle":"https://pith.science/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE/bundle.json","state":"https://pith.science/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I3DFXHXVZNX2CHNNP2OI3VUJOE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:I3DFXHXVZNX2CHNNP2OI3VUJOE","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":"b5afc26ab8f32f6fd2464260d82fb32dff0dd4e3c05b36340b5bd3120275471a","cross_cats_sorted":["cs.LG","cs.MA","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-16T12:41:33Z","title_canon_sha256":"3c4ca42ac8037ed6b35d61d6b14fb7308e7b972df8487171b4b854b1b09745bf"},"schema_version":"1.0","source":{"id":"1711.06064","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06064","created_at":"2026-05-18T00:30:23Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06064v1","created_at":"2026-05-18T00:30:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06064","created_at":"2026-05-18T00:30:23Z"},{"alias_kind":"pith_short_12","alias_value":"I3DFXHXVZNX2","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"I3DFXHXVZNX2CHNN","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"I3DFXHXV","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:9a096aba7de9c72f6ab23241bb89586744edda4e6dc53f91ea70dc3c5c34f7f4","target":"graph","created_at":"2026-05-18T00:30:23Z","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":"This paper presents novel Gaussian process decentralized data fusion algorithms exploiting the notion of agent-centric support sets for distributed cooperative perception of large-scale environmental phenomena. To overcome the limitations of scale in existing works, our proposed algorithms allow every mobile sensing agent to choose a different support set and dynamically switch to another during execution for encapsulating its own data into a local summary that, perhaps surprisingly, can still be assimilated with the other agents' local summaries (i.e., based on their current choices of suppor","authors_text":"Kian Hsiang Low, Ruofei Ouyang","cross_cats":["cs.LG","cs.MA","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-16T12:41:33Z","title":"Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06064","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":"sha256:43ec73529212d8553456871fc3cb6326cd1b738e76aedabfdb35cab7af491ad8","target":"record","created_at":"2026-05-18T00:30:23Z","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":"b5afc26ab8f32f6fd2464260d82fb32dff0dd4e3c05b36340b5bd3120275471a","cross_cats_sorted":["cs.LG","cs.MA","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-16T12:41:33Z","title_canon_sha256":"3c4ca42ac8037ed6b35d61d6b14fb7308e7b972df8487171b4b854b1b09745bf"},"schema_version":"1.0","source":{"id":"1711.06064","kind":"arxiv","version":1}},"canonical_sha256":"46c65b9ef5cb6fa11dad7e9c8dd689711715f83f91215e0ea35a3c0f48bc4bd6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46c65b9ef5cb6fa11dad7e9c8dd689711715f83f91215e0ea35a3c0f48bc4bd6","first_computed_at":"2026-05-18T00:30:23.412842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:23.412842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Nl6Kd1Zzxpvy5bcOhmVyv2rGdJi5nc1LnJCbr19kR5eNKFLKRjV2TsFmuknot9QBMouu/TjEvqhN7wfOs1cBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:23.413521Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.06064","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:43ec73529212d8553456871fc3cb6326cd1b738e76aedabfdb35cab7af491ad8","sha256:9a096aba7de9c72f6ab23241bb89586744edda4e6dc53f91ea70dc3c5c34f7f4"],"state_sha256":"b75749c6dac7a225888cd8811d4149fc65d67b2d32139a5c1d0c0c296daf09a2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hBeU2yVC6+ppZoM4aHp053MjLbfQ2d3QcBZJLk3n63KLMH1jwhTDoljx51txavA9C4Jp5YYTQtVDHKQxyV+bAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T23:20:14.589783Z","bundle_sha256":"2f91e63b84850a024d54ccef38340918338098d15b1888b5a4c0d7e91396ee64"}}