{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:W4VJLGPQ2DTSIYYIGCGUDHA6ZK","short_pith_number":"pith:W4VJLGPQ","canonical_record":{"source":{"id":"1712.09347","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-12-25T02:08:39Z","cross_cats_sorted":[],"title_canon_sha256":"602d004bbbb429bef382cc52aed41632b7b52bbce0f9e56819038ad978e2d963","abstract_canon_sha256":"07cdc617c6ffc066420a369389f930f920c24cb462e1c49a925c89a7fc9a9ebd"},"schema_version":"1.0"},"canonical_sha256":"b72a9599f0d0e7246308308d419c1ecab6a1a257f8967aa4f61e927ab6011b92","source":{"kind":"arxiv","id":"1712.09347","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.09347","created_at":"2026-05-18T00:27:08Z"},{"alias_kind":"arxiv_version","alias_value":"1712.09347v1","created_at":"2026-05-18T00:27:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.09347","created_at":"2026-05-18T00:27:08Z"},{"alias_kind":"pith_short_12","alias_value":"W4VJLGPQ2DTS","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"W4VJLGPQ2DTSIYYI","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"W4VJLGPQ","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:W4VJLGPQ2DTSIYYIGCGUDHA6ZK","target":"record","payload":{"canonical_record":{"source":{"id":"1712.09347","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-12-25T02:08:39Z","cross_cats_sorted":[],"title_canon_sha256":"602d004bbbb429bef382cc52aed41632b7b52bbce0f9e56819038ad978e2d963","abstract_canon_sha256":"07cdc617c6ffc066420a369389f930f920c24cb462e1c49a925c89a7fc9a9ebd"},"schema_version":"1.0"},"canonical_sha256":"b72a9599f0d0e7246308308d419c1ecab6a1a257f8967aa4f61e927ab6011b92","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:08.697775Z","signature_b64":"Yk5wfzyGSECC0XNCdlPMPdNpQRRXwNKRwjNfE7GS8KwRr9TqPrvp+he9DVWESn3wtrqAOBsrVXLP8Gve4q7YBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b72a9599f0d0e7246308308d419c1ecab6a1a257f8967aa4f61e927ab6011b92","last_reissued_at":"2026-05-18T00:27:08.697141Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:08.697141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.09347","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":"2026-05-18T00:27:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3lTY+2Fz40krqn/ub8Fnx2mJFtKPsixJPSWEYiFxPSFlI6rD+5uJ0knbH3FCFCJn1jFuOPp4qWkC5x/hiDlhCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:31:57.563147Z"},"content_sha256":"38012c2216373498c7ff744954f311b4153747643615fe0b8af1c1bbc4927d9f","schema_version":"1.0","event_id":"sha256:38012c2216373498c7ff744954f311b4153747643615fe0b8af1c1bbc4927d9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:W4VJLGPQ2DTSIYYIGCGUDHA6ZK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Smart Fog: Fog Computing Framework for Unsupervised Clustering Analytics in Wearable Internet of Things","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Debanjan Borthakur, Harishchandra Dubey, Kunal Mankodiya, Leslie Mahler, Nicholas Constant","submitted_at":"2017-12-25T02:08:39Z","abstract_excerpt":"The increasing use of wearables in smart telehealth generates heterogeneous medical big data. Cloud and fog services process these data for assisting clinical procedures. IoT based ehealthcare have greatly benefited from efficient data processing. This paper proposed and evaluated use of low resource machine learning on Fog devices kept close to the wearables for smart healthcare. In state of the art telecare systems, the signal processing and machine learning modules are deployed in the cloud for processing physiological data. We developed a prototype of Fog-based unsupervised machine learnin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.09347","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":"2026-05-18T00:27:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/wEP37zR0T/arSTjoMdcBD3+s1e5Lx8WqCCIWT0xMjyGF+4UBprxMKs8mwYMcX6q/WxRh7H0qW2ONoZyr7lAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:31:57.563843Z"},"content_sha256":"a088f74e061e97fbc2e05bc8cec194aef5afd811ff264b321a1cd03e4058a7ac","schema_version":"1.0","event_id":"sha256:a088f74e061e97fbc2e05bc8cec194aef5afd811ff264b321a1cd03e4058a7ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK/bundle.json","state_url":"https://pith.science/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK/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":"2026-05-26T08:31:57Z","links":{"resolver":"https://pith.science/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK","bundle":"https://pith.science/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK/bundle.json","state":"https://pith.science/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W4VJLGPQ2DTSIYYIGCGUDHA6ZK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:W4VJLGPQ2DTSIYYIGCGUDHA6ZK","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":"07cdc617c6ffc066420a369389f930f920c24cb462e1c49a925c89a7fc9a9ebd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-12-25T02:08:39Z","title_canon_sha256":"602d004bbbb429bef382cc52aed41632b7b52bbce0f9e56819038ad978e2d963"},"schema_version":"1.0","source":{"id":"1712.09347","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.09347","created_at":"2026-05-18T00:27:08Z"},{"alias_kind":"arxiv_version","alias_value":"1712.09347v1","created_at":"2026-05-18T00:27:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.09347","created_at":"2026-05-18T00:27:08Z"},{"alias_kind":"pith_short_12","alias_value":"W4VJLGPQ2DTS","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"W4VJLGPQ2DTSIYYI","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"W4VJLGPQ","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:a088f74e061e97fbc2e05bc8cec194aef5afd811ff264b321a1cd03e4058a7ac","target":"graph","created_at":"2026-05-18T00:27:08Z","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":"The increasing use of wearables in smart telehealth generates heterogeneous medical big data. Cloud and fog services process these data for assisting clinical procedures. IoT based ehealthcare have greatly benefited from efficient data processing. This paper proposed and evaluated use of low resource machine learning on Fog devices kept close to the wearables for smart healthcare. In state of the art telecare systems, the signal processing and machine learning modules are deployed in the cloud for processing physiological data. We developed a prototype of Fog-based unsupervised machine learnin","authors_text":"Debanjan Borthakur, Harishchandra Dubey, Kunal Mankodiya, Leslie Mahler, Nicholas Constant","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-12-25T02:08:39Z","title":"Smart Fog: Fog Computing Framework for Unsupervised Clustering Analytics in Wearable Internet of Things"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.09347","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":"sha256:38012c2216373498c7ff744954f311b4153747643615fe0b8af1c1bbc4927d9f","target":"record","created_at":"2026-05-18T00:27:08Z","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":"07cdc617c6ffc066420a369389f930f920c24cb462e1c49a925c89a7fc9a9ebd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-12-25T02:08:39Z","title_canon_sha256":"602d004bbbb429bef382cc52aed41632b7b52bbce0f9e56819038ad978e2d963"},"schema_version":"1.0","source":{"id":"1712.09347","kind":"arxiv","version":1}},"canonical_sha256":"b72a9599f0d0e7246308308d419c1ecab6a1a257f8967aa4f61e927ab6011b92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b72a9599f0d0e7246308308d419c1ecab6a1a257f8967aa4f61e927ab6011b92","first_computed_at":"2026-05-18T00:27:08.697141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:08.697141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yk5wfzyGSECC0XNCdlPMPdNpQRRXwNKRwjNfE7GS8KwRr9TqPrvp+he9DVWESn3wtrqAOBsrVXLP8Gve4q7YBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:08.697775Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.09347","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38012c2216373498c7ff744954f311b4153747643615fe0b8af1c1bbc4927d9f","sha256:a088f74e061e97fbc2e05bc8cec194aef5afd811ff264b321a1cd03e4058a7ac"],"state_sha256":"fb7b1cfb6aea832d94f84918924ec47505fdaa309ea99c25e59c078daabaffd9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WDOHE91SOasXGk80nxpn6zfBBGdTnSsnyqU3Z3Laig79l+RWKmq8u6uHmk8CeyH0puEpEdRI6DwjCB1qBJaABQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T08:31:57.567460Z","bundle_sha256":"a9a0a1fd47014bdf62732b9adfe5223e95caff059bf6cbb390fd784f31235c5f"}}