{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CNHTZVL323WVOSRBWCCXNQUWFN","short_pith_number":"pith:CNHTZVL3","canonical_record":{"source":{"id":"2209.00195","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-01T03:27:33Z","cross_cats_sorted":[],"title_canon_sha256":"de9ac8942534fa864337fd480ff11c84e7eaa9606037212a5405f3650615610c","abstract_canon_sha256":"669a2a11fae820ef493682ab3a7957f3cc7265679434fa8649494f15c2acd893"},"schema_version":"1.0"},"canonical_sha256":"134f3cd57bd6ed574a21b08576c2962b541b3b10dbf3f9174b9c797a8449d148","source":{"kind":"arxiv","id":"2209.00195","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00195","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00195v4","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00195","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"CNHTZVL323WV","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"pith_short_16","alias_value":"CNHTZVL323WVOSRB","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"pith_short_8","alias_value":"CNHTZVL3","created_at":"2026-07-05T05:45:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CNHTZVL323WVOSRBWCCXNQUWFN","target":"record","payload":{"canonical_record":{"source":{"id":"2209.00195","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-01T03:27:33Z","cross_cats_sorted":[],"title_canon_sha256":"de9ac8942534fa864337fd480ff11c84e7eaa9606037212a5405f3650615610c","abstract_canon_sha256":"669a2a11fae820ef493682ab3a7957f3cc7265679434fa8649494f15c2acd893"},"schema_version":"1.0"},"canonical_sha256":"134f3cd57bd6ed574a21b08576c2962b541b3b10dbf3f9174b9c797a8449d148","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:45:32.637596Z","signature_b64":"IXhERD9ZWHzyANSl5VPeR0lNPm40CQ8GRt5u6UU/5OOQ7HEpyWaveU1uLo2rGcCEmOLGh8EpR8ch6TU2+O3CDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"134f3cd57bd6ed574a21b08576c2962b541b3b10dbf3f9174b9c797a8449d148","last_reissued_at":"2026-07-05T05:45:32.637130Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:45:32.637130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.00195","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:45:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LK1hEZ2wxy4EsWEyu7TAWWTIfesue/VQwoNur+glNZdCN0JHE9qQKkmCjnEvYudaIKaETTNT34GCpVph0aHPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:28:27.748876Z"},"content_sha256":"72db866647fb8e4f1e8847b0afa3987fe458b230ec70ca61c42bf081093627fb","schema_version":"1.0","event_id":"sha256:72db866647fb8e4f1e8847b0afa3987fe458b230ec70ca61c42bf081093627fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CNHTZVL323WVOSRBWCCXNQUWFN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"To Store or Not? Online Data Selection for Federated Learning with Limited Storage","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bingshuai Li, Chen Gong, Fan Wu, Guihai Chen, Yunfeng Shao, Zhenzhe Zheng","submitted_at":"2022-09-01T03:27:33Z","abstract_excerpt":"Machine learning models have been deployed in mobile networks to deal with massive data from different layers to enable automated network management and intelligence on devices. To overcome high communication cost and severe privacy concerns of centralized machine learning, federated learning (FL) has been proposed to achieve distributed machine learning among networked devices. While the computation and communication limitation has been widely studied, the impact of on-device storage on the performance of FL is still not explored. Without an effective data selection policy to filter the massi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00195","kind":"arxiv","version":4},"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/2209.00195/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":"2026-07-05T05:45:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YpJ4NlaFk+dFxDifalXJwHTHP19zMqEi4f6beBuMT1Of0AY2HIwzZVc75iyP5u5OyEcLL/lXEOOJB7y5JbruDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:28:27.749839Z"},"content_sha256":"cfb6adb873c352193ae285dd6c48de8cc72135ef50f1bb681458fbfb4f0fafc7","schema_version":"1.0","event_id":"sha256:cfb6adb873c352193ae285dd6c48de8cc72135ef50f1bb681458fbfb4f0fafc7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CNHTZVL323WVOSRBWCCXNQUWFN/bundle.json","state_url":"https://pith.science/pith/CNHTZVL323WVOSRBWCCXNQUWFN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CNHTZVL323WVOSRBWCCXNQUWFN/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":"2026-08-05T18:28:27Z","links":{"resolver":"https://pith.science/pith/CNHTZVL323WVOSRBWCCXNQUWFN","bundle":"https://pith.science/pith/CNHTZVL323WVOSRBWCCXNQUWFN/bundle.json","state":"https://pith.science/pith/CNHTZVL323WVOSRBWCCXNQUWFN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CNHTZVL323WVOSRBWCCXNQUWFN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CNHTZVL323WVOSRBWCCXNQUWFN","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":"669a2a11fae820ef493682ab3a7957f3cc7265679434fa8649494f15c2acd893","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-01T03:27:33Z","title_canon_sha256":"de9ac8942534fa864337fd480ff11c84e7eaa9606037212a5405f3650615610c"},"schema_version":"1.0","source":{"id":"2209.00195","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00195","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00195v4","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00195","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"CNHTZVL323WV","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"pith_short_16","alias_value":"CNHTZVL323WVOSRB","created_at":"2026-07-05T05:45:32Z"},{"alias_kind":"pith_short_8","alias_value":"CNHTZVL3","created_at":"2026-07-05T05:45:32Z"}],"graph_snapshots":[{"event_id":"sha256:cfb6adb873c352193ae285dd6c48de8cc72135ef50f1bb681458fbfb4f0fafc7","target":"graph","created_at":"2026-07-05T05:45:32Z","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/2209.00195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning models have been deployed in mobile networks to deal with massive data from different layers to enable automated network management and intelligence on devices. To overcome high communication cost and severe privacy concerns of centralized machine learning, federated learning (FL) has been proposed to achieve distributed machine learning among networked devices. While the computation and communication limitation has been widely studied, the impact of on-device storage on the performance of FL is still not explored. Without an effective data selection policy to filter the massi","authors_text":"Bingshuai Li, Chen Gong, Fan Wu, Guihai Chen, Yunfeng Shao, Zhenzhe Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-01T03:27:33Z","title":"To Store or Not? Online Data Selection for Federated Learning with Limited Storage"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00195","kind":"arxiv","version":4},"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":"sha256:72db866647fb8e4f1e8847b0afa3987fe458b230ec70ca61c42bf081093627fb","target":"record","created_at":"2026-07-05T05:45:32Z","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":"669a2a11fae820ef493682ab3a7957f3cc7265679434fa8649494f15c2acd893","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-01T03:27:33Z","title_canon_sha256":"de9ac8942534fa864337fd480ff11c84e7eaa9606037212a5405f3650615610c"},"schema_version":"1.0","source":{"id":"2209.00195","kind":"arxiv","version":4}},"canonical_sha256":"134f3cd57bd6ed574a21b08576c2962b541b3b10dbf3f9174b9c797a8449d148","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"134f3cd57bd6ed574a21b08576c2962b541b3b10dbf3f9174b9c797a8449d148","first_computed_at":"2026-07-05T05:45:32.637130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:45:32.637130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IXhERD9ZWHzyANSl5VPeR0lNPm40CQ8GRt5u6UU/5OOQ7HEpyWaveU1uLo2rGcCEmOLGh8EpR8ch6TU2+O3CDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:45:32.637596Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.00195","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72db866647fb8e4f1e8847b0afa3987fe458b230ec70ca61c42bf081093627fb","sha256:cfb6adb873c352193ae285dd6c48de8cc72135ef50f1bb681458fbfb4f0fafc7"],"state_sha256":"efa8b0daac5afa77fa7e9b00c69f4fe5aca7d986da01c0a7dce815e9374a0077"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hxphYA4Lqox67fN72cTuhNdpBmjYMgN1lLrsZZNM0PsRTY2x++cVSS8qAFQ/GJb6QjxGakz9522rGH5vJRTBCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:28:27.806922Z","bundle_sha256":"d3945e2ab418cddd431f38e0252ebc83c9e047a2bc367b22985745588d745c2c"}}