{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BPPGQ663LLBWCAOZ7CBA7ECIT2","short_pith_number":"pith:BPPGQ663","canonical_record":{"source":{"id":"1908.08193","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-08-22T04:11:46Z","cross_cats_sorted":[],"title_canon_sha256":"33764a2616487b9b4731c9df94b45f5efa51e24c41c620a78415a85bdfcb456d","abstract_canon_sha256":"6f428ac7fad28cd2666ef3550c6dd2568577a13c2cd641fb6300da4877592190"},"schema_version":"1.0"},"canonical_sha256":"0bde687bdb5ac36101d9f8820f90489ea513f0bea89f4294bd7465d98fff43de","source":{"kind":"arxiv","id":"1908.08193","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08193","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08193v1","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08193","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"BPPGQ663LLBW","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"BPPGQ663LLBWCAOZ","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"BPPGQ663","created_at":"2026-07-04T23:59:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BPPGQ663LLBWCAOZ7CBA7ECIT2","target":"record","payload":{"canonical_record":{"source":{"id":"1908.08193","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-08-22T04:11:46Z","cross_cats_sorted":[],"title_canon_sha256":"33764a2616487b9b4731c9df94b45f5efa51e24c41c620a78415a85bdfcb456d","abstract_canon_sha256":"6f428ac7fad28cd2666ef3550c6dd2568577a13c2cd641fb6300da4877592190"},"schema_version":"1.0"},"canonical_sha256":"0bde687bdb5ac36101d9f8820f90489ea513f0bea89f4294bd7465d98fff43de","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:10.440005Z","signature_b64":"HE9AKwCaXsHvkq6TPV5VgFwaIO5Y0VpEakZ4Sl+wEIyZpMZWoQNhI+iiLTTncIXaUGAbHs+0XBm1h5cTRdwIDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0bde687bdb5ac36101d9f8820f90489ea513f0bea89f4294bd7465d98fff43de","last_reissued_at":"2026-07-04T23:59:10.439659Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:10.439659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.08193","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":"2026-07-04T23:59:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j42lwqMDhBUw365CN1GrTZ6Y4+UVwhwdysIGYLiBnYQgAcBlz26N4GTQSHa+NtUUyEnsUEs4jTGZxiiV50UDBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:24:39.364754Z"},"content_sha256":"11785efd757eb1777acd0897d1071acca43e85b449b54b586e5252dd040e6e22","schema_version":"1.0","event_id":"sha256:11785efd757eb1777acd0897d1071acca43e85b449b54b586e5252dd040e6e22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BPPGQ663LLBWCAOZ7CBA7ECIT2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic Weight Importance Sampling for Low Cost Spatiotemporal Sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Hadi Alasti","submitted_at":"2019-08-22T04:11:46Z","abstract_excerpt":"A simple and low cost dynamic weight importance sampling (DWIS) implementation is presented and discussed for spatiotemporal sensing of unknown correlated signals in sensor field. The spatial signal is compressed into its contour lines and a partitioned subset of sensors that their observations are in a given margin of the contour levels, is used for importance sampling. The selected sensor population is changed dynamically to maintain the low cost and acceptable spatial signal estimation from limited observations. The estimation performance, cost and convergence of the proposed approach is ev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08193","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/1908.08193/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":"2026-07-04T23:59:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NuaZxNdD6o8tpPHrQm8DA/3Rv8xsg0JkI60iOZwGf1GXd5eDHwiWukYuyKdwnxp5+baPjrlFYRg9RGv3SQziBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:24:39.365640Z"},"content_sha256":"4252653c52ea68e7e433c2bbf2c45b9f026ddabe6368a9aeefd33d77adcad8b9","schema_version":"1.0","event_id":"sha256:4252653c52ea68e7e433c2bbf2c45b9f026ddabe6368a9aeefd33d77adcad8b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2/bundle.json","state_url":"https://pith.science/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2/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":"2026-08-16T21:24:39Z","links":{"resolver":"https://pith.science/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2","bundle":"https://pith.science/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2/bundle.json","state":"https://pith.science/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BPPGQ663LLBWCAOZ7CBA7ECIT2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BPPGQ663LLBWCAOZ7CBA7ECIT2","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":"6f428ac7fad28cd2666ef3550c6dd2568577a13c2cd641fb6300da4877592190","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-08-22T04:11:46Z","title_canon_sha256":"33764a2616487b9b4731c9df94b45f5efa51e24c41c620a78415a85bdfcb456d"},"schema_version":"1.0","source":{"id":"1908.08193","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08193","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08193v1","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08193","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"BPPGQ663LLBW","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"BPPGQ663LLBWCAOZ","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"BPPGQ663","created_at":"2026-07-04T23:59:10Z"}],"graph_snapshots":[{"event_id":"sha256:4252653c52ea68e7e433c2bbf2c45b9f026ddabe6368a9aeefd33d77adcad8b9","target":"graph","created_at":"2026-07-04T23:59:10Z","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/1908.08193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A simple and low cost dynamic weight importance sampling (DWIS) implementation is presented and discussed for spatiotemporal sensing of unknown correlated signals in sensor field. The spatial signal is compressed into its contour lines and a partitioned subset of sensors that their observations are in a given margin of the contour levels, is used for importance sampling. The selected sensor population is changed dynamically to maintain the low cost and acceptable spatial signal estimation from limited observations. The estimation performance, cost and convergence of the proposed approach is ev","authors_text":"Hadi Alasti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-08-22T04:11:46Z","title":"Dynamic Weight Importance Sampling for Low Cost Spatiotemporal Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08193","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":"sha256:11785efd757eb1777acd0897d1071acca43e85b449b54b586e5252dd040e6e22","target":"record","created_at":"2026-07-04T23:59:10Z","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":"6f428ac7fad28cd2666ef3550c6dd2568577a13c2cd641fb6300da4877592190","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-08-22T04:11:46Z","title_canon_sha256":"33764a2616487b9b4731c9df94b45f5efa51e24c41c620a78415a85bdfcb456d"},"schema_version":"1.0","source":{"id":"1908.08193","kind":"arxiv","version":1}},"canonical_sha256":"0bde687bdb5ac36101d9f8820f90489ea513f0bea89f4294bd7465d98fff43de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0bde687bdb5ac36101d9f8820f90489ea513f0bea89f4294bd7465d98fff43de","first_computed_at":"2026-07-04T23:59:10.439659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:10.439659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HE9AKwCaXsHvkq6TPV5VgFwaIO5Y0VpEakZ4Sl+wEIyZpMZWoQNhI+iiLTTncIXaUGAbHs+0XBm1h5cTRdwIDA==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:10.440005Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08193","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11785efd757eb1777acd0897d1071acca43e85b449b54b586e5252dd040e6e22","sha256:4252653c52ea68e7e433c2bbf2c45b9f026ddabe6368a9aeefd33d77adcad8b9"],"state_sha256":"3180653a79a3286b130fda37b435ec21f9d2f67fdedf087fc55305df44d7119b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T5RANkDg6WvyKwZ2Dh4GsXBl5xpz46/5QKG+X4km0Xk4wTq9AQrrG+Eh0fHRfCU6/L4bxGHtulMf4AALohWoCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T21:24:39.404668Z","bundle_sha256":"be2a7a6de19fcbaea0577631db3722723f781feba24de94cb1cc2df0b7e64c6b"}}