{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:4DEQAY7ARNGLEPEYCJZVEWKKU5","short_pith_number":"pith:4DEQAY7A","canonical_record":{"source":{"id":"1504.01072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-05T02:20:55Z","cross_cats_sorted":[],"title_canon_sha256":"297518e7ed4d4581181419d7b3c09e7dea1e1fd74cb4e100fa021980ad30422e","abstract_canon_sha256":"674e27eb1e7d90ec3adaee07f0a3a67acf91f64888eac5f201e429502850f560"},"schema_version":"1.0"},"canonical_sha256":"e0c90063e08b4cb23c98127352594aa77f8528262b7b55ccb82853c07c3db831","source":{"kind":"arxiv","id":"1504.01072","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.01072","created_at":"2026-05-18T02:19:35Z"},{"alias_kind":"arxiv_version","alias_value":"1504.01072v1","created_at":"2026-05-18T02:19:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.01072","created_at":"2026-05-18T02:19:35Z"},{"alias_kind":"pith_short_12","alias_value":"4DEQAY7ARNGL","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4DEQAY7ARNGLEPEY","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4DEQAY7A","created_at":"2026-05-18T12:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:4DEQAY7ARNGLEPEYCJZVEWKKU5","target":"record","payload":{"canonical_record":{"source":{"id":"1504.01072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-05T02:20:55Z","cross_cats_sorted":[],"title_canon_sha256":"297518e7ed4d4581181419d7b3c09e7dea1e1fd74cb4e100fa021980ad30422e","abstract_canon_sha256":"674e27eb1e7d90ec3adaee07f0a3a67acf91f64888eac5f201e429502850f560"},"schema_version":"1.0"},"canonical_sha256":"e0c90063e08b4cb23c98127352594aa77f8528262b7b55ccb82853c07c3db831","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:19:35.219400Z","signature_b64":"Yw+xtmApzQPdyQ0z0ALYUoyywctzbbZ34+uQrYY6eKvN54fyb7JJcYyLbWrNZ+LFBJpxIg4Eq0W9e6DfGOAFBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0c90063e08b4cb23c98127352594aa77f8528262b7b55ccb82853c07c3db831","last_reissued_at":"2026-05-18T02:19:35.218712Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:19:35.218712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1504.01072","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":"2026-05-18T02:19:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LDmAvHD9z4pOAwViYQxy5mWS60OCwK3Q+k515Kgt3AKbMyUDiLfvDltEe2qX6mWfCtQTHInMXV55SC1J1sjNDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:46:02.673676Z"},"content_sha256":"36f203bf90ce8a687cc25df7bd0acf772b1104ad53a047f34f8c3d409a2a1bd8","schema_version":"1.0","event_id":"sha256:36f203bf90ce8a687cc25df7bd0acf772b1104ad53a047f34f8c3d409a2a1bd8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:4DEQAY7ARNGLEPEYCJZVEWKKU5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EM-Based Channel Estimation from Crowd-Sourced RSSI Samples Corrupted by Noise and Interference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Larry Greenstein, Silvija Kokalj-Filipovic","submitted_at":"2015-04-05T02:20:55Z","abstract_excerpt":"We propose a method for estimating channel parameters from RSSI measurements and the lost packet count, which can work in the presence of losses due to both interference and signal attenuation below the noise floor. This is especially important in the wireless networks, such as vehicular, where propagation model changes with the density of nodes. The method is based on Stochastic Expectation Maximization, where the received data is modeled as a mixture of distributions (no/low interference and strong interference), incomplete (censored) due to packet losses. The PDFs in the mixture are Gamma, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.01072","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":"2026-05-18T02:19:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fgwhHRKraDhY/rGOr3IAADIxWQdAlwR5gFMRmA7AYXvfDpzTQb0Vg0nbj4zTry35RMfXyl3PG2vNQxRj27LIAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:46:02.674028Z"},"content_sha256":"dc48985695285ccaeb50406908182c385d544d9dcfb482d124ab0fa899b27708","schema_version":"1.0","event_id":"sha256:dc48985695285ccaeb50406908182c385d544d9dcfb482d124ab0fa899b27708"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5/bundle.json","state_url":"https://pith.science/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5/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":"2026-06-24T20:46:02Z","links":{"resolver":"https://pith.science/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5","bundle":"https://pith.science/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5/bundle.json","state":"https://pith.science/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4DEQAY7ARNGLEPEYCJZVEWKKU5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:4DEQAY7ARNGLEPEYCJZVEWKKU5","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":"674e27eb1e7d90ec3adaee07f0a3a67acf91f64888eac5f201e429502850f560","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-05T02:20:55Z","title_canon_sha256":"297518e7ed4d4581181419d7b3c09e7dea1e1fd74cb4e100fa021980ad30422e"},"schema_version":"1.0","source":{"id":"1504.01072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.01072","created_at":"2026-05-18T02:19:35Z"},{"alias_kind":"arxiv_version","alias_value":"1504.01072v1","created_at":"2026-05-18T02:19:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.01072","created_at":"2026-05-18T02:19:35Z"},{"alias_kind":"pith_short_12","alias_value":"4DEQAY7ARNGL","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4DEQAY7ARNGLEPEY","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4DEQAY7A","created_at":"2026-05-18T12:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:dc48985695285ccaeb50406908182c385d544d9dcfb482d124ab0fa899b27708","target":"graph","created_at":"2026-05-18T02:19:35Z","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 propose a method for estimating channel parameters from RSSI measurements and the lost packet count, which can work in the presence of losses due to both interference and signal attenuation below the noise floor. This is especially important in the wireless networks, such as vehicular, where propagation model changes with the density of nodes. The method is based on Stochastic Expectation Maximization, where the received data is modeled as a mixture of distributions (no/low interference and strong interference), incomplete (censored) due to packet losses. The PDFs in the mixture are Gamma, ","authors_text":"Larry Greenstein, Silvija Kokalj-Filipovic","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-05T02:20:55Z","title":"EM-Based Channel Estimation from Crowd-Sourced RSSI Samples Corrupted by Noise and Interference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.01072","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":"sha256:36f203bf90ce8a687cc25df7bd0acf772b1104ad53a047f34f8c3d409a2a1bd8","target":"record","created_at":"2026-05-18T02:19:35Z","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":"674e27eb1e7d90ec3adaee07f0a3a67acf91f64888eac5f201e429502850f560","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-05T02:20:55Z","title_canon_sha256":"297518e7ed4d4581181419d7b3c09e7dea1e1fd74cb4e100fa021980ad30422e"},"schema_version":"1.0","source":{"id":"1504.01072","kind":"arxiv","version":1}},"canonical_sha256":"e0c90063e08b4cb23c98127352594aa77f8528262b7b55ccb82853c07c3db831","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0c90063e08b4cb23c98127352594aa77f8528262b7b55ccb82853c07c3db831","first_computed_at":"2026-05-18T02:19:35.218712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:19:35.218712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yw+xtmApzQPdyQ0z0ALYUoyywctzbbZ34+uQrYY6eKvN54fyb7JJcYyLbWrNZ+LFBJpxIg4Eq0W9e6DfGOAFBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:19:35.219400Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.01072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36f203bf90ce8a687cc25df7bd0acf772b1104ad53a047f34f8c3d409a2a1bd8","sha256:dc48985695285ccaeb50406908182c385d544d9dcfb482d124ab0fa899b27708"],"state_sha256":"38d8e884f9bb0779f261d36f5fca2bb292e6c93cfbffa87197705563982d7534"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HPMQ9FGi/esKmq2he7e/NOFdrIovC4PHK/amWY31ccN5RXjgce0b5ly+nOgpO5xeHfNKhGKiNkQYCb/204EuAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T20:46:02.676005Z","bundle_sha256":"a7552928ac145126c88f92309d2f0dff75c55853f9a6dd024e28e54637536aba"}}