{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ND5W4KIXNLAYCYGBMWWZYBUYF6","short_pith_number":"pith:ND5W4KIX","canonical_record":{"source":{"id":"2502.05802","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-09T08:12:10Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"78ac8d334f9dc73cf52ae7077aef65d07fdfa66fc36312557fdd969f9dcc0028","abstract_canon_sha256":"51368bcf0ce059ffa7513be5544a6e6e5d8a9632833dfa208617fba98f08c748"},"schema_version":"1.0"},"canonical_sha256":"68fb6e29176ac18160c165ad9c06982f918d8622c9e250715435af31eefd6f83","source":{"kind":"arxiv","id":"2502.05802","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05802","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05802v1","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05802","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"pith_short_12","alias_value":"ND5W4KIXNLAY","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"pith_short_16","alias_value":"ND5W4KIXNLAYCYGB","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"pith_short_8","alias_value":"ND5W4KIX","created_at":"2026-07-05T11:18:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ND5W4KIXNLAYCYGBMWWZYBUYF6","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05802","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-09T08:12:10Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"78ac8d334f9dc73cf52ae7077aef65d07fdfa66fc36312557fdd969f9dcc0028","abstract_canon_sha256":"51368bcf0ce059ffa7513be5544a6e6e5d8a9632833dfa208617fba98f08c748"},"schema_version":"1.0"},"canonical_sha256":"68fb6e29176ac18160c165ad9c06982f918d8622c9e250715435af31eefd6f83","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:41.416014Z","signature_b64":"5YHsA9fIR9knHnoVvXN4GpJyfGQNAt/lOQB3wgNZ3/ravzC7guNeDuLvE2P115puIGTjEu0yEuEU5nnEjeK2AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68fb6e29176ac18160c165ad9c06982f918d8622c9e250715435af31eefd6f83","last_reissued_at":"2026-07-05T11:18:41.415603Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:41.415603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05802","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":"2026-07-05T11:18:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"orLgy3PRo0Ee+9ZGUHVPOK1OZOFgOR4A/uMlORoqDq2n9XWLsKETHCoFfrDqTFLKvyIlJTrjnEHzwO7qMgCYBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:18:34.714041Z"},"content_sha256":"2a0e75c197a0979bc5f19db0ad7dd10d5b959660e25b59e269ee5b8349ea1801","schema_version":"1.0","event_id":"sha256:2a0e75c197a0979bc5f19db0ad7dd10d5b959660e25b59e269ee5b8349ea1801"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ND5W4KIXNLAYCYGBMWWZYBUYF6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.MA","authors_text":"Geunsik Bae, Hyondong Oh, Jaemin Seo","submitted_at":"2025-02-09T08:12:10Z","abstract_excerpt":"In this letter, we propose an online scalar field estimation algorithm of unknown environments using a distributed Gaussian process (DGP) framework in wireless sensor networks (WSNs). While the kernel-based Gaussian process (GP) has been widely employed for estimating unknown scalar fields, its centralized nature is not well-suited for handling a large amount of data from WSNs. To overcome the limitations of the kernel-based GP, recent advancements in GP research focus on approximating kernel functions as products of E-dimensional nonlinear basis functions, which can handle large WSNs more eff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05802","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/2502.05802/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":"2026-07-05T11:18:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tYv6sj0QsdRFPgd8yYbRoTIzYtEqwLmf3EnbbZ8p+aTA6pbmSt+Ul344I9PMmUgMF4s/npa4HYpD8jUzIHPzCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:18:34.714549Z"},"content_sha256":"708afae693cd4e9f4578bfb95a49980bedfee277740d21d04fc8c5c7e332ebcc","schema_version":"1.0","event_id":"sha256:708afae693cd4e9f4578bfb95a49980bedfee277740d21d04fc8c5c7e332ebcc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6/bundle.json","state_url":"https://pith.science/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6/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":"2026-08-11T06:18:34Z","links":{"resolver":"https://pith.science/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6","bundle":"https://pith.science/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6/bundle.json","state":"https://pith.science/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ND5W4KIXNLAYCYGBMWWZYBUYF6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ND5W4KIXNLAYCYGBMWWZYBUYF6","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":"51368bcf0ce059ffa7513be5544a6e6e5d8a9632833dfa208617fba98f08c748","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-09T08:12:10Z","title_canon_sha256":"78ac8d334f9dc73cf52ae7077aef65d07fdfa66fc36312557fdd969f9dcc0028"},"schema_version":"1.0","source":{"id":"2502.05802","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05802","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05802v1","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05802","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"pith_short_12","alias_value":"ND5W4KIXNLAY","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"pith_short_16","alias_value":"ND5W4KIXNLAYCYGB","created_at":"2026-07-05T11:18:41Z"},{"alias_kind":"pith_short_8","alias_value":"ND5W4KIX","created_at":"2026-07-05T11:18:41Z"}],"graph_snapshots":[{"event_id":"sha256:708afae693cd4e9f4578bfb95a49980bedfee277740d21d04fc8c5c7e332ebcc","target":"graph","created_at":"2026-07-05T11:18:41Z","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/2502.05802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this letter, we propose an online scalar field estimation algorithm of unknown environments using a distributed Gaussian process (DGP) framework in wireless sensor networks (WSNs). While the kernel-based Gaussian process (GP) has been widely employed for estimating unknown scalar fields, its centralized nature is not well-suited for handling a large amount of data from WSNs. To overcome the limitations of the kernel-based GP, recent advancements in GP research focus on approximating kernel functions as products of E-dimensional nonlinear basis functions, which can handle large WSNs more eff","authors_text":"Geunsik Bae, Hyondong Oh, Jaemin Seo","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-09T08:12:10Z","title":"Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05802","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":"sha256:2a0e75c197a0979bc5f19db0ad7dd10d5b959660e25b59e269ee5b8349ea1801","target":"record","created_at":"2026-07-05T11:18:41Z","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":"51368bcf0ce059ffa7513be5544a6e6e5d8a9632833dfa208617fba98f08c748","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-09T08:12:10Z","title_canon_sha256":"78ac8d334f9dc73cf52ae7077aef65d07fdfa66fc36312557fdd969f9dcc0028"},"schema_version":"1.0","source":{"id":"2502.05802","kind":"arxiv","version":1}},"canonical_sha256":"68fb6e29176ac18160c165ad9c06982f918d8622c9e250715435af31eefd6f83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68fb6e29176ac18160c165ad9c06982f918d8622c9e250715435af31eefd6f83","first_computed_at":"2026-07-05T11:18:41.415603Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:41.415603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5YHsA9fIR9knHnoVvXN4GpJyfGQNAt/lOQB3wgNZ3/ravzC7guNeDuLvE2P115puIGTjEu0yEuEU5nnEjeK2AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:41.416014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05802","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a0e75c197a0979bc5f19db0ad7dd10d5b959660e25b59e269ee5b8349ea1801","sha256:708afae693cd4e9f4578bfb95a49980bedfee277740d21d04fc8c5c7e332ebcc"],"state_sha256":"a0ece75b63f946a7dd176e80bd666027ca34ec5c431043e27c083acefc3669f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n2CWto3UAu6CW21rq9tyl4VuwD4dVvJD6nitB5WBt+hMipoQT5GkAZSyY3u4GAnkYVIOOI/quQzn/W6d2bDUCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:18:34.719565Z","bundle_sha256":"9f972d13a79419126bc5f0254691e23faeb582034e4f5a12f75d6af6f24e4a71"}}