{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SQNCTONENTMSQM4SA4LIEKJSWR","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":"53a702e75a6923f0197c7bc96f3b1e676d7c7f38ec191650c3d5d21d84ce1b11","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-22T09:38:00Z","title_canon_sha256":"0be57c3626ede973d95adf7a6ff212ad7df3f726e4f74eead30b2ca600dbfa93"},"schema_version":"1.0","source":{"id":"2606.23091","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.23091","created_at":"2026-06-23T03:14:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.23091v1","created_at":"2026-06-23T03:14:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23091","created_at":"2026-06-23T03:14:09Z"},{"alias_kind":"pith_short_12","alias_value":"SQNCTONENTMS","created_at":"2026-06-23T03:14:09Z"},{"alias_kind":"pith_short_16","alias_value":"SQNCTONENTMSQM4S","created_at":"2026-06-23T03:14:09Z"},{"alias_kind":"pith_short_8","alias_value":"SQNCTONE","created_at":"2026-06-23T03:14:09Z"}],"graph_snapshots":[{"event_id":"sha256:613c3db21c732b0993f4c2b63934ad209628baee73b50a771289832d648ca5a6","target":"graph","created_at":"2026-06-23T03:14:09Z","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/2606.23091/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wireless sensor network (WSNs) stands out as a burgeoning and promising domain in intelligent sensing. Owing to various factors such as sudden sensor malfunctions or deliberate shutdown of partial nodes to save energy, the collected sensing signals from WSNs commonly have massive missing data, leading to adverse effects on subsequent analysis or decision-making. Latent factor learning (LFL) has proven to be highly effective in recovering the missing data for WSNs. However, the existing LFL models require the collected sensing signals to be maintained in one central place like a central server,","authors_text":"Chengjun Yu, Di Wu, Jia Chen, Yi He","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-22T09:38:00Z","title":"FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23091","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:a3a7b1d0c798c4befc556fd4a8c7084a1fd564294aa7cb763df4c165137f23a0","target":"record","created_at":"2026-06-23T03:14:09Z","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":"53a702e75a6923f0197c7bc96f3b1e676d7c7f38ec191650c3d5d21d84ce1b11","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-22T09:38:00Z","title_canon_sha256":"0be57c3626ede973d95adf7a6ff212ad7df3f726e4f74eead30b2ca600dbfa93"},"schema_version":"1.0","source":{"id":"2606.23091","kind":"arxiv","version":1}},"canonical_sha256":"941a29b9a46cd92833920716822932b45dc359eaba4a0d490da748c0b02de066","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"941a29b9a46cd92833920716822932b45dc359eaba4a0d490da748c0b02de066","first_computed_at":"2026-06-23T03:14:09.588272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T03:14:09.588272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YqGmXRWlv+r3wOL+FN57DswdtJVdwPIRDB+0Nkypx3ighbMolECcmKPUUlr2+CjLQ3LzNYGyLABEcZq7kpejCw==","signature_status":"signed_v1","signed_at":"2026-06-23T03:14:09.588621Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.23091","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3a7b1d0c798c4befc556fd4a8c7084a1fd564294aa7cb763df4c165137f23a0","sha256:613c3db21c732b0993f4c2b63934ad209628baee73b50a771289832d648ca5a6"],"state_sha256":"d53ce6ecfe808c0029eae7cae2c345937bef74cc64143e57ade263bb76884418"}