{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KW675JFLPDT2SR6D7Z4MLHBDR3","short_pith_number":"pith:KW675JFL","canonical_record":{"source":{"id":"2312.16638","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-27T17:00:09Z","cross_cats_sorted":[],"title_canon_sha256":"261a561a8f2c2730266be9c12a9c7620f329455a8a122ef45c42e4bc56feca7b","abstract_canon_sha256":"c1b8663842c9633295ca4d965882fd80ee0c438f00b06078fc4e4a6b477dee86"},"schema_version":"1.0"},"canonical_sha256":"55bdfea4ab78e7a947c3fe78c59c238ec71d87f146de0f2e89b0617380a546b2","source":{"kind":"arxiv","id":"2312.16638","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16638","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16638v3","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16638","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"pith_short_12","alias_value":"KW675JFLPDT2","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"pith_short_16","alias_value":"KW675JFLPDT2SR6D","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"pith_short_8","alias_value":"KW675JFL","created_at":"2026-07-05T10:54:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KW675JFLPDT2SR6D7Z4MLHBDR3","target":"record","payload":{"canonical_record":{"source":{"id":"2312.16638","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-27T17:00:09Z","cross_cats_sorted":[],"title_canon_sha256":"261a561a8f2c2730266be9c12a9c7620f329455a8a122ef45c42e4bc56feca7b","abstract_canon_sha256":"c1b8663842c9633295ca4d965882fd80ee0c438f00b06078fc4e4a6b477dee86"},"schema_version":"1.0"},"canonical_sha256":"55bdfea4ab78e7a947c3fe78c59c238ec71d87f146de0f2e89b0617380a546b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:10.947685Z","signature_b64":"iWSfPZ/nVEN8Q8JSXIcXbJQP0CeOFDn/SSBGvXVwvoK74nsBylX1CgpUM2T/AYCJ2ThWArgnVAM28qdaZTRQCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55bdfea4ab78e7a947c3fe78c59c238ec71d87f146de0f2e89b0617380a546b2","last_reissued_at":"2026-07-05T10:54:10.947116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:10.947116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.16638","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:54:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VZKPcTkw+VwdUReo/wO6qMwhOXcuv3+WDdE5NXrjdpMgEYOURK5eDid/9QrWWZzGRHRlH8F4V872wMD0504oDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:37:00.684335Z"},"content_sha256":"4eb797075190bb433540f78964e9e04f98811c6388ba354d3100e94d7711fc2f","schema_version":"1.0","event_id":"sha256:4eb797075190bb433540f78964e9e04f98811c6388ba354d3100e94d7711fc2f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KW675JFLPDT2SR6D7Z4MLHBDR3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Christopher G. Brinton, David I. Inouye, Surojit Ganguli, Zeyu Zhou","submitted_at":"2023-12-27T17:00:09Z","abstract_excerpt":"When each edge device of a network only perceives a local part of the environment, collaborative inference across multiple devices is often needed to predict global properties of the environment. In safety-critical applications, collaborative inference must be robust to significant network failures caused by environmental disruptions or extreme weather. Existing collaborative learning approaches, such as privacy-focused Vertical Federated Learning (VFL), typically assume a centralized setup or that one device never fails. However, these assumptions make prior approaches susceptible to signific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16638","kind":"arxiv","version":3},"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/2312.16638/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":"2026-07-05T10:54:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IIHoOSyIE5XtXERANKXT+gIENwMOpA5Tey+P/gyBRc7wzfUDSWuPQNEyajnWpBsMcVz3u9oEdaupQ9nPytfbCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:37:00.684857Z"},"content_sha256":"552140c650016ce870700549fd177c80b8f56cf24741a4b4dd13d93d39f9ab24","schema_version":"1.0","event_id":"sha256:552140c650016ce870700549fd177c80b8f56cf24741a4b4dd13d93d39f9ab24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KW675JFLPDT2SR6D7Z4MLHBDR3/bundle.json","state_url":"https://pith.science/pith/KW675JFLPDT2SR6D7Z4MLHBDR3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KW675JFLPDT2SR6D7Z4MLHBDR3/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":"2026-08-10T02:37:00Z","links":{"resolver":"https://pith.science/pith/KW675JFLPDT2SR6D7Z4MLHBDR3","bundle":"https://pith.science/pith/KW675JFLPDT2SR6D7Z4MLHBDR3/bundle.json","state":"https://pith.science/pith/KW675JFLPDT2SR6D7Z4MLHBDR3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KW675JFLPDT2SR6D7Z4MLHBDR3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KW675JFLPDT2SR6D7Z4MLHBDR3","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":"c1b8663842c9633295ca4d965882fd80ee0c438f00b06078fc4e4a6b477dee86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-27T17:00:09Z","title_canon_sha256":"261a561a8f2c2730266be9c12a9c7620f329455a8a122ef45c42e4bc56feca7b"},"schema_version":"1.0","source":{"id":"2312.16638","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16638","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16638v3","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16638","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"pith_short_12","alias_value":"KW675JFLPDT2","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"pith_short_16","alias_value":"KW675JFLPDT2SR6D","created_at":"2026-07-05T10:54:10Z"},{"alias_kind":"pith_short_8","alias_value":"KW675JFL","created_at":"2026-07-05T10:54:10Z"}],"graph_snapshots":[{"event_id":"sha256:552140c650016ce870700549fd177c80b8f56cf24741a4b4dd13d93d39f9ab24","target":"graph","created_at":"2026-07-05T10:54:10Z","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/2312.16638/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When each edge device of a network only perceives a local part of the environment, collaborative inference across multiple devices is often needed to predict global properties of the environment. In safety-critical applications, collaborative inference must be robust to significant network failures caused by environmental disruptions or extreme weather. Existing collaborative learning approaches, such as privacy-focused Vertical Federated Learning (VFL), typically assume a centralized setup or that one device never fails. However, these assumptions make prior approaches susceptible to signific","authors_text":"Christopher G. Brinton, David I. Inouye, Surojit Ganguli, Zeyu Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-27T17:00:09Z","title":"Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16638","kind":"arxiv","version":3},"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":"sha256:4eb797075190bb433540f78964e9e04f98811c6388ba354d3100e94d7711fc2f","target":"record","created_at":"2026-07-05T10:54:10Z","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":"c1b8663842c9633295ca4d965882fd80ee0c438f00b06078fc4e4a6b477dee86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-27T17:00:09Z","title_canon_sha256":"261a561a8f2c2730266be9c12a9c7620f329455a8a122ef45c42e4bc56feca7b"},"schema_version":"1.0","source":{"id":"2312.16638","kind":"arxiv","version":3}},"canonical_sha256":"55bdfea4ab78e7a947c3fe78c59c238ec71d87f146de0f2e89b0617380a546b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55bdfea4ab78e7a947c3fe78c59c238ec71d87f146de0f2e89b0617380a546b2","first_computed_at":"2026-07-05T10:54:10.947116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:10.947116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iWSfPZ/nVEN8Q8JSXIcXbJQP0CeOFDn/SSBGvXVwvoK74nsBylX1CgpUM2T/AYCJ2ThWArgnVAM28qdaZTRQCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:10.947685Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.16638","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4eb797075190bb433540f78964e9e04f98811c6388ba354d3100e94d7711fc2f","sha256:552140c650016ce870700549fd177c80b8f56cf24741a4b4dd13d93d39f9ab24"],"state_sha256":"a33fc600ad0c62180fc7f2c0c23b75dc5a40c10e76560be358fe46d7a05d68d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qDI1w9+24vCnfEyYX/inHX0N3VssjhkzMpTkn75KRX2jX3h+mP95mobr8eoLowu+kq1yCJRiKozm8ewvMJ0GCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:37:00.689813Z","bundle_sha256":"556f2599fd3ce9d9859b8474ac55f335f4d276d13149301aa3ac9a10cae5ac1c"}}