{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DFR4GYGR4CJOJMWYESEFZVPTGZ","short_pith_number":"pith:DFR4GYGR","canonical_record":{"source":{"id":"2406.08776","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-13T03:10:56Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"37e92ea7b5ff21bbe914aee575d15d4dac87444313b6234c438801b740a68035","abstract_canon_sha256":"f781ccbd02b42792d9a92b7d36360e6469746bf230874c0f9c8f72d7bc4fb4d3"},"schema_version":"1.0"},"canonical_sha256":"1963c360d1e092e4b2d824885cd5f33663041e0a907b20e3a3cde50c17b37d91","source":{"kind":"arxiv","id":"2406.08776","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.08776","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.08776v1","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.08776","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"pith_short_12","alias_value":"DFR4GYGR4CJO","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"pith_short_16","alias_value":"DFR4GYGR4CJOJMWY","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"pith_short_8","alias_value":"DFR4GYGR","created_at":"2026-07-05T08:31:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DFR4GYGR4CJOJMWYESEFZVPTGZ","target":"record","payload":{"canonical_record":{"source":{"id":"2406.08776","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-13T03:10:56Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"37e92ea7b5ff21bbe914aee575d15d4dac87444313b6234c438801b740a68035","abstract_canon_sha256":"f781ccbd02b42792d9a92b7d36360e6469746bf230874c0f9c8f72d7bc4fb4d3"},"schema_version":"1.0"},"canonical_sha256":"1963c360d1e092e4b2d824885cd5f33663041e0a907b20e3a3cde50c17b37d91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:31:23.161176Z","signature_b64":"ny3HWi3d2TcgE1czHXLpOYYZAlJ+TTlo4CXueX+harT2kLpnI+sa4tjyecTSyL/GTvaursav6Vo1XKW0aipgAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1963c360d1e092e4b2d824885cd5f33663041e0a907b20e3a3cde50c17b37d91","last_reissued_at":"2026-07-05T08:31:23.160688Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:31:23.160688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.08776","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":"2026-07-05T08:31:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uof/UTLoxaiQXbF5wrTlpsdncvzzE2OQ8E+MUFjGy6/biVi8VZ1kJZjMr8T8hjLv3ygmGI96DB5ulHmof6p6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:48:47.879555Z"},"content_sha256":"5b809f4da3da8c390207b8c2054c20677169a794496ff066110d3dc00ea83d1e","schema_version":"1.0","event_id":"sha256:5b809f4da3da8c390207b8c2054c20677169a794496ff066110d3dc00ea83d1e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DFR4GYGR4CJOJMWYESEFZVPTGZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Joint and Individual Structure in Network Data with Covariates","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"stat.ME","authors_text":"Carson James, Dongbang Yuan, Irina Gaynanova, Jes\\'us Arroyo","submitted_at":"2024-06-13T03:10:56Z","abstract_excerpt":"Datasets consisting of a network and covariates associated with its vertices have become ubiquitous. One problem pertaining to this type of data is to identify information unique to the network, information unique to the vertex covariates and information that is shared between the network and the vertex covariates. Existing techniques for network data and vertex covariates focus on capturing structure that is shared but are usually not able to differentiate structure that is unique to each dataset. This work formulates a low-rank model that simultaneously captures joint and individual informat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.08776","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/2406.08776/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":"2026-07-05T08:31:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KIzYlcZ6S1S3D6+zueAJUTm9HCZtxtwlm90xf+ZOEl9byiN8EBV60VGaM/kDMk6G9V+iFNZ/cpr3i1Z9SuCUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:48:47.879925Z"},"content_sha256":"85f348a114e68b8d6489aabb676263507d8ce7c2737f885a3758fa057f9cbad0","schema_version":"1.0","event_id":"sha256:85f348a114e68b8d6489aabb676263507d8ce7c2737f885a3758fa057f9cbad0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ/bundle.json","state_url":"https://pith.science/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ/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":"2026-07-06T15:48:47Z","links":{"resolver":"https://pith.science/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ","bundle":"https://pith.science/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ/bundle.json","state":"https://pith.science/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DFR4GYGR4CJOJMWYESEFZVPTGZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DFR4GYGR4CJOJMWYESEFZVPTGZ","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":"f781ccbd02b42792d9a92b7d36360e6469746bf230874c0f9c8f72d7bc4fb4d3","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-13T03:10:56Z","title_canon_sha256":"37e92ea7b5ff21bbe914aee575d15d4dac87444313b6234c438801b740a68035"},"schema_version":"1.0","source":{"id":"2406.08776","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.08776","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.08776v1","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.08776","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"pith_short_12","alias_value":"DFR4GYGR4CJO","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"pith_short_16","alias_value":"DFR4GYGR4CJOJMWY","created_at":"2026-07-05T08:31:23Z"},{"alias_kind":"pith_short_8","alias_value":"DFR4GYGR","created_at":"2026-07-05T08:31:23Z"}],"graph_snapshots":[{"event_id":"sha256:85f348a114e68b8d6489aabb676263507d8ce7c2737f885a3758fa057f9cbad0","target":"graph","created_at":"2026-07-05T08:31:23Z","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/2406.08776/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Datasets consisting of a network and covariates associated with its vertices have become ubiquitous. One problem pertaining to this type of data is to identify information unique to the network, information unique to the vertex covariates and information that is shared between the network and the vertex covariates. Existing techniques for network data and vertex covariates focus on capturing structure that is shared but are usually not able to differentiate structure that is unique to each dataset. This work formulates a low-rank model that simultaneously captures joint and individual informat","authors_text":"Carson James, Dongbang Yuan, Irina Gaynanova, Jes\\'us Arroyo","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-13T03:10:56Z","title":"Learning Joint and Individual Structure in Network Data with Covariates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.08776","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":"sha256:5b809f4da3da8c390207b8c2054c20677169a794496ff066110d3dc00ea83d1e","target":"record","created_at":"2026-07-05T08:31:23Z","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":"f781ccbd02b42792d9a92b7d36360e6469746bf230874c0f9c8f72d7bc4fb4d3","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-13T03:10:56Z","title_canon_sha256":"37e92ea7b5ff21bbe914aee575d15d4dac87444313b6234c438801b740a68035"},"schema_version":"1.0","source":{"id":"2406.08776","kind":"arxiv","version":1}},"canonical_sha256":"1963c360d1e092e4b2d824885cd5f33663041e0a907b20e3a3cde50c17b37d91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1963c360d1e092e4b2d824885cd5f33663041e0a907b20e3a3cde50c17b37d91","first_computed_at":"2026-07-05T08:31:23.160688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:31:23.160688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ny3HWi3d2TcgE1czHXLpOYYZAlJ+TTlo4CXueX+harT2kLpnI+sa4tjyecTSyL/GTvaursav6Vo1XKW0aipgAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:31:23.161176Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.08776","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b809f4da3da8c390207b8c2054c20677169a794496ff066110d3dc00ea83d1e","sha256:85f348a114e68b8d6489aabb676263507d8ce7c2737f885a3758fa057f9cbad0"],"state_sha256":"90f44bffce4c48e452385380b6eed306acbf6b4a435115f1fe26cdc9dd7dc69f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d+bmgoZXeICbJbB8qy//rTgegb3erh08FeJxNPba9Q2Xy8DLG3Xx9YM9Ateu8BYSVsKUb7Ni24cQThkXv5NIDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:48:47.881997Z","bundle_sha256":"400ac638cb5e4bbd7b74c82fb475532160e858e1a024df483f0b8769e8ae6a46"}}