{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NXHMXYEI7ASVOTNDUANGVADMIO","short_pith_number":"pith:NXHMXYEI","canonical_record":{"source":{"id":"1706.05136","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-16T02:52:38Z","cross_cats_sorted":[],"title_canon_sha256":"72a275590428997fdd7ea4b4646f1dd3dab26d3535a8c851aa33c1d9c7675cc6","abstract_canon_sha256":"664d3a2b02754b13ff8a59015e1a20e95270d97f6b36be84684d9c14466343c1"},"schema_version":"1.0"},"canonical_sha256":"6dcecbe088f825574da3a01a6a806c43a2f4c534f584d10f4d5f85428108d51b","source":{"kind":"arxiv","id":"1706.05136","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.05136","created_at":"2026-05-18T00:42:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.05136v1","created_at":"2026-05-18T00:42:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.05136","created_at":"2026-05-18T00:42:14Z"},{"alias_kind":"pith_short_12","alias_value":"NXHMXYEI7ASV","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NXHMXYEI7ASVOTND","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NXHMXYEI","created_at":"2026-05-18T12:31:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NXHMXYEI7ASVOTNDUANGVADMIO","target":"record","payload":{"canonical_record":{"source":{"id":"1706.05136","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-16T02:52:38Z","cross_cats_sorted":[],"title_canon_sha256":"72a275590428997fdd7ea4b4646f1dd3dab26d3535a8c851aa33c1d9c7675cc6","abstract_canon_sha256":"664d3a2b02754b13ff8a59015e1a20e95270d97f6b36be84684d9c14466343c1"},"schema_version":"1.0"},"canonical_sha256":"6dcecbe088f825574da3a01a6a806c43a2f4c534f584d10f4d5f85428108d51b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:14.622215Z","signature_b64":"DKZWNJjQ3JW5CaCq7jLsrsJVlffjD2O7XD9317CBaqIaHDz9r2q0fHnzzNT293XgwvT+nGZeDyLoF5VlCOkpBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6dcecbe088f825574da3a01a6a806c43a2f4c534f584d10f4d5f85428108d51b","last_reissued_at":"2026-05-18T00:42:14.621646Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:14.621646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.05136","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":"2026-05-18T00:42:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ChhJPACnNQY1MvW3fIoEqR5G9yfYYqATZsnet6ZcLLe8hhlKh3ghhas3GadTjiv8onRhXaTkBLLGE2dc8GogCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T16:55:05.077369Z"},"content_sha256":"57002f76a8bb2b3a64d8f17e3c51a7c6808b980c045dffb0cefc4f5f005bbf14","schema_version":"1.0","event_id":"sha256:57002f76a8bb2b3a64d8f17e3c51a7c6808b980c045dffb0cefc4f5f005bbf14"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NXHMXYEI7ASVOTNDUANGVADMIO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Generative Models for Relational Data with Side Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Changwei Hu, Lawrence Carin, Piyush Rai","submitted_at":"2017-06-16T02:52:38Z","abstract_excerpt":"We present a probabilistic framework for overlapping community discovery and link prediction for relational data, given as a graph. The proposed framework has: (1) a deep architecture which enables us to infer multiple layers of latent features/communities for each node, providing superior link prediction performance on more complex networks and better interpretability of the latent features; and (2) a regression model which allows directly conditioning the node latent features on the side information available in form of node attributes. Our framework handles both (1) and (2) via a clean, uni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.05136","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":"2026-05-18T00:42:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iaf31hHvnG+k90kb47oLRPsIg6VIR48J/hGNDlGbAjjT8lqaCMDMe0yhjr6agliqoSKcje7Fvxa89YzSJRGmAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T16:55:05.077752Z"},"content_sha256":"d9abcef35f93ebc4513abb7244aac8d80b882f67ba02ca4b2b4a6525882abd8f","schema_version":"1.0","event_id":"sha256:d9abcef35f93ebc4513abb7244aac8d80b882f67ba02ca4b2b4a6525882abd8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NXHMXYEI7ASVOTNDUANGVADMIO/bundle.json","state_url":"https://pith.science/pith/NXHMXYEI7ASVOTNDUANGVADMIO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NXHMXYEI7ASVOTNDUANGVADMIO/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":"2026-05-28T16:55:05Z","links":{"resolver":"https://pith.science/pith/NXHMXYEI7ASVOTNDUANGVADMIO","bundle":"https://pith.science/pith/NXHMXYEI7ASVOTNDUANGVADMIO/bundle.json","state":"https://pith.science/pith/NXHMXYEI7ASVOTNDUANGVADMIO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NXHMXYEI7ASVOTNDUANGVADMIO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NXHMXYEI7ASVOTNDUANGVADMIO","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":"664d3a2b02754b13ff8a59015e1a20e95270d97f6b36be84684d9c14466343c1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-16T02:52:38Z","title_canon_sha256":"72a275590428997fdd7ea4b4646f1dd3dab26d3535a8c851aa33c1d9c7675cc6"},"schema_version":"1.0","source":{"id":"1706.05136","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.05136","created_at":"2026-05-18T00:42:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.05136v1","created_at":"2026-05-18T00:42:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.05136","created_at":"2026-05-18T00:42:14Z"},{"alias_kind":"pith_short_12","alias_value":"NXHMXYEI7ASV","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NXHMXYEI7ASVOTND","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NXHMXYEI","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:d9abcef35f93ebc4513abb7244aac8d80b882f67ba02ca4b2b4a6525882abd8f","target":"graph","created_at":"2026-05-18T00:42:14Z","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":"We present a probabilistic framework for overlapping community discovery and link prediction for relational data, given as a graph. The proposed framework has: (1) a deep architecture which enables us to infer multiple layers of latent features/communities for each node, providing superior link prediction performance on more complex networks and better interpretability of the latent features; and (2) a regression model which allows directly conditioning the node latent features on the side information available in form of node attributes. Our framework handles both (1) and (2) via a clean, uni","authors_text":"Changwei Hu, Lawrence Carin, Piyush Rai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-16T02:52:38Z","title":"Deep Generative Models for Relational Data with Side Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.05136","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":"sha256:57002f76a8bb2b3a64d8f17e3c51a7c6808b980c045dffb0cefc4f5f005bbf14","target":"record","created_at":"2026-05-18T00:42:14Z","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":"664d3a2b02754b13ff8a59015e1a20e95270d97f6b36be84684d9c14466343c1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-16T02:52:38Z","title_canon_sha256":"72a275590428997fdd7ea4b4646f1dd3dab26d3535a8c851aa33c1d9c7675cc6"},"schema_version":"1.0","source":{"id":"1706.05136","kind":"arxiv","version":1}},"canonical_sha256":"6dcecbe088f825574da3a01a6a806c43a2f4c534f584d10f4d5f85428108d51b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6dcecbe088f825574da3a01a6a806c43a2f4c534f584d10f4d5f85428108d51b","first_computed_at":"2026-05-18T00:42:14.621646Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:14.621646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DKZWNJjQ3JW5CaCq7jLsrsJVlffjD2O7XD9317CBaqIaHDz9r2q0fHnzzNT293XgwvT+nGZeDyLoF5VlCOkpBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:14.622215Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.05136","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57002f76a8bb2b3a64d8f17e3c51a7c6808b980c045dffb0cefc4f5f005bbf14","sha256:d9abcef35f93ebc4513abb7244aac8d80b882f67ba02ca4b2b4a6525882abd8f"],"state_sha256":"27b3ed9df6011efdb57e6e13b533bbb7bff71675d55d5a51ee00ce9588c69632"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pE0tb6IaP5ir7/D/qkoSrEV07CQ4Am7Qf3r+vAf2MxGQ0z2pGNDFhXjD3CpZOqHhyetiRQPUBbuOvMpG7ez1Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T16:55:05.079768Z","bundle_sha256":"4449ec79e3cf001fe17e3d56318c9051a3abf9d59c5ed12722876af00fad1c82"}}