{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:K56AWB6WLXCUBXVEMIQIC6B2QC","short_pith_number":"pith:K56AWB6W","canonical_record":{"source":{"id":"2209.01417","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-09-03T13:36:45Z","cross_cats_sorted":[],"title_canon_sha256":"c1c554ad56d4733e96b5beb4768ea279e00bcc4c2eca9c7722e043141ab90cdf","abstract_canon_sha256":"395185819c09816628e45a8009d3170fdfbec8e6c8ae60d24894546db550117f"},"schema_version":"1.0"},"canonical_sha256":"577c0b07d65dc540dea4622081783a80a855def61dc6c01d5ec1ef6792ca4763","source":{"kind":"arxiv","id":"2209.01417","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.01417","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"arxiv_version","alias_value":"2209.01417v1","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01417","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_12","alias_value":"K56AWB6WLXCU","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_16","alias_value":"K56AWB6WLXCUBXVE","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_8","alias_value":"K56AWB6W","created_at":"2026-07-05T04:54:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:K56AWB6WLXCUBXVEMIQIC6B2QC","target":"record","payload":{"canonical_record":{"source":{"id":"2209.01417","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-09-03T13:36:45Z","cross_cats_sorted":[],"title_canon_sha256":"c1c554ad56d4733e96b5beb4768ea279e00bcc4c2eca9c7722e043141ab90cdf","abstract_canon_sha256":"395185819c09816628e45a8009d3170fdfbec8e6c8ae60d24894546db550117f"},"schema_version":"1.0"},"canonical_sha256":"577c0b07d65dc540dea4622081783a80a855def61dc6c01d5ec1ef6792ca4763","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:54:29.310435Z","signature_b64":"OoMKI53kPRo2S7R73FBFSuSU0Nx6napZeHMmQMw3ySckJyaPCCvDRbB3omDpOus21qoyFCYqvwwalHLoFol7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"577c0b07d65dc540dea4622081783a80a855def61dc6c01d5ec1ef6792ca4763","last_reissued_at":"2026-07-05T04:54:29.310024Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:54:29.310024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.01417","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":"2026-07-05T04:54:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A7RfhLqToSfLf5kG+r3DMNZSzPsw8WV3hrMVLNDzD+YwUcB6Ol6aVNu8DEXD/XtHPRwKMYmfMCqBCpZRkjBDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:54:01.882384Z"},"content_sha256":"c9be56b4597cd0d9b053cb6da2ab9491702366221de4b1b19a3411625517ae2c","schema_version":"1.0","event_id":"sha256:c9be56b4597cd0d9b053cb6da2ab9491702366221de4b1b19a3411625517ae2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:K56AWB6WLXCUBXVEMIQIC6B2QC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hari Prabhat Gupta, Rahul Mishra, Sajal K. Das, Tanima Dutta","submitted_at":"2022-09-03T13:36:45Z","abstract_excerpt":"Smart sensing provides an easier and convenient data-driven mechanism for monitoring and control in the built environment. Data generated in the built environment are privacy sensitive and limited. Federated learning is an emerging paradigm that provides privacy-preserving collaboration among multiple participants for model training without sharing private and limited data. The noisy labels in the datasets of the participants degrade the performance and increase the number of communication rounds for convergence of federated learning. Such large communication rounds require more time and energ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01417","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/2209.01417/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":"2026-07-05T04:54:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xLzhS7XmCVIk9I3++XUtLMpmAEUeDv0fjn++DVdvybR0hcKHYZggHTx3DOfKcbM+TxJLumETFOsK8y3WbteiBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:54:01.883210Z"},"content_sha256":"06102ecd89773ed14ac274fe226e4a9a082a11dc5c996f791bebfc8018b1ff54","schema_version":"1.0","event_id":"sha256:06102ecd89773ed14ac274fe226e4a9a082a11dc5c996f791bebfc8018b1ff54"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K56AWB6WLXCUBXVEMIQIC6B2QC/bundle.json","state_url":"https://pith.science/pith/K56AWB6WLXCUBXVEMIQIC6B2QC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K56AWB6WLXCUBXVEMIQIC6B2QC/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":"2026-08-03T22:54:01Z","links":{"resolver":"https://pith.science/pith/K56AWB6WLXCUBXVEMIQIC6B2QC","bundle":"https://pith.science/pith/K56AWB6WLXCUBXVEMIQIC6B2QC/bundle.json","state":"https://pith.science/pith/K56AWB6WLXCUBXVEMIQIC6B2QC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K56AWB6WLXCUBXVEMIQIC6B2QC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:K56AWB6WLXCUBXVEMIQIC6B2QC","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":"395185819c09816628e45a8009d3170fdfbec8e6c8ae60d24894546db550117f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-09-03T13:36:45Z","title_canon_sha256":"c1c554ad56d4733e96b5beb4768ea279e00bcc4c2eca9c7722e043141ab90cdf"},"schema_version":"1.0","source":{"id":"2209.01417","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.01417","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"arxiv_version","alias_value":"2209.01417v1","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01417","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_12","alias_value":"K56AWB6WLXCU","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_16","alias_value":"K56AWB6WLXCUBXVE","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_8","alias_value":"K56AWB6W","created_at":"2026-07-05T04:54:29Z"}],"graph_snapshots":[{"event_id":"sha256:06102ecd89773ed14ac274fe226e4a9a082a11dc5c996f791bebfc8018b1ff54","target":"graph","created_at":"2026-07-05T04:54:29Z","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/2209.01417/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Smart sensing provides an easier and convenient data-driven mechanism for monitoring and control in the built environment. Data generated in the built environment are privacy sensitive and limited. Federated learning is an emerging paradigm that provides privacy-preserving collaboration among multiple participants for model training without sharing private and limited data. The noisy labels in the datasets of the participants degrade the performance and increase the number of communication rounds for convergence of federated learning. Such large communication rounds require more time and energ","authors_text":"Hari Prabhat Gupta, Rahul Mishra, Sajal K. Das, Tanima Dutta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-09-03T13:36:45Z","title":"Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01417","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:c9be56b4597cd0d9b053cb6da2ab9491702366221de4b1b19a3411625517ae2c","target":"record","created_at":"2026-07-05T04:54:29Z","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":"395185819c09816628e45a8009d3170fdfbec8e6c8ae60d24894546db550117f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-09-03T13:36:45Z","title_canon_sha256":"c1c554ad56d4733e96b5beb4768ea279e00bcc4c2eca9c7722e043141ab90cdf"},"schema_version":"1.0","source":{"id":"2209.01417","kind":"arxiv","version":1}},"canonical_sha256":"577c0b07d65dc540dea4622081783a80a855def61dc6c01d5ec1ef6792ca4763","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"577c0b07d65dc540dea4622081783a80a855def61dc6c01d5ec1ef6792ca4763","first_computed_at":"2026-07-05T04:54:29.310024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:54:29.310024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OoMKI53kPRo2S7R73FBFSuSU0Nx6napZeHMmQMw3ySckJyaPCCvDRbB3omDpOus21qoyFCYqvwwalHLoFol7BA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:54:29.310435Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.01417","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9be56b4597cd0d9b053cb6da2ab9491702366221de4b1b19a3411625517ae2c","sha256:06102ecd89773ed14ac274fe226e4a9a082a11dc5c996f791bebfc8018b1ff54"],"state_sha256":"4cab9f05c1ba23ef4ba899cd889d1db07c5fe3e0573333a6ab25b27b69b191a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+flsaI+f/B8Q6GWPYx2hSuDa1RUPn9bcpTniWl0FVvvhfvYvV/XJlX2FDVADriI2dsa+tX0UDcPelU3XwGK9Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:54:01.889504Z","bundle_sha256":"efb18b2f616699846adf3e1376e3493edda246f1e21518cb10cd74d92d688692"}}