{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:LXVIGBCMGIQXD2G5HYE6DIPOJ5","short_pith_number":"pith:LXVIGBCM","canonical_record":{"source":{"id":"1703.06514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-19T21:19:04Z","cross_cats_sorted":[],"title_canon_sha256":"22d4288a88046e9831d84d84b16cfa43cc297cfff95658fcc778c9174c7ff209","abstract_canon_sha256":"6d71fad7ed580f6158b740b61da7deabed9bc976cc69d4ca16c7df7e11926104"},"schema_version":"1.0"},"canonical_sha256":"5dea83044c322171e8dd3e09e1a1ee4f725057608e46b71f26e776346b60c7f3","source":{"kind":"arxiv","id":"1703.06514","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.06514","created_at":"2026-05-18T00:48:22Z"},{"alias_kind":"arxiv_version","alias_value":"1703.06514v1","created_at":"2026-05-18T00:48:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.06514","created_at":"2026-05-18T00:48:22Z"},{"alias_kind":"pith_short_12","alias_value":"LXVIGBCMGIQX","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"LXVIGBCMGIQXD2G5","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"LXVIGBCM","created_at":"2026-05-18T12:31:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:LXVIGBCMGIQXD2G5HYE6DIPOJ5","target":"record","payload":{"canonical_record":{"source":{"id":"1703.06514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-19T21:19:04Z","cross_cats_sorted":[],"title_canon_sha256":"22d4288a88046e9831d84d84b16cfa43cc297cfff95658fcc778c9174c7ff209","abstract_canon_sha256":"6d71fad7ed580f6158b740b61da7deabed9bc976cc69d4ca16c7df7e11926104"},"schema_version":"1.0"},"canonical_sha256":"5dea83044c322171e8dd3e09e1a1ee4f725057608e46b71f26e776346b60c7f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:22.609557Z","signature_b64":"/ouNlIaqxboyHJcO2qBvkElCdS53Ykb+uL+bIJfImQzJXYJFr/eyL/VQ6ub62+mv1J1jdtyY4E2rcAHsQAM+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5dea83044c322171e8dd3e09e1a1ee4f725057608e46b71f26e776346b60c7f3","last_reissued_at":"2026-05-18T00:48:22.608810Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:22.608810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.06514","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":"2026-05-18T00:48:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dzPge7Bqui4PijsFlh5pkwgJrIx7zPkhAVCuXl0dRBWUxmL83HsOaD09mCH+FPDlHgVlpFcllSXLf3uF75syDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T12:47:25.665208Z"},"content_sha256":"987fca249d0622dd1e2c0d0154ea441d69b570b218358ef9847f47c4aaee9396","schema_version":"1.0","event_id":"sha256:987fca249d0622dd1e2c0d0154ea441d69b570b218358ef9847f47c4aaee9396"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:LXVIGBCMGIQXD2G5HYE6DIPOJ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recurrent Collective Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bert Huang, Shuangfei Fan","submitted_at":"2017-03-19T21:19:04Z","abstract_excerpt":"We propose a new method for training iterative collective classifiers for labeling nodes in network data. The iterative classification algorithm (ICA) is a canonical method for incorporating relational information into classification. Yet, existing methods for training ICA models rely on the assumption that relational features reflect the true labels of the nodes. This unrealistic assumption introduces a bias that is inconsistent with the actual prediction algorithm. In this paper, we introduce recurrent collective classification (RCC), a variant of ICA analogous to recurrent neural network pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.06514","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":"2026-05-18T00:48:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zy0auOLqNbhc3swLkzd83jaRdCYuE4eBJdWNgM/rASryIomCnALmsiou717Bz3N/LCo+WEoRBNjjmjkcBVvGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T12:47:25.665586Z"},"content_sha256":"dfca3e57f9c1fed19f00c4ae5f4f02ec3e82617a414da761b61a2e8f957ea926","schema_version":"1.0","event_id":"sha256:dfca3e57f9c1fed19f00c4ae5f4f02ec3e82617a414da761b61a2e8f957ea926"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5/bundle.json","state_url":"https://pith.science/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5/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":"2026-06-01T12:47:25Z","links":{"resolver":"https://pith.science/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5","bundle":"https://pith.science/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5/bundle.json","state":"https://pith.science/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LXVIGBCMGIQXD2G5HYE6DIPOJ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:LXVIGBCMGIQXD2G5HYE6DIPOJ5","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":"6d71fad7ed580f6158b740b61da7deabed9bc976cc69d4ca16c7df7e11926104","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-19T21:19:04Z","title_canon_sha256":"22d4288a88046e9831d84d84b16cfa43cc297cfff95658fcc778c9174c7ff209"},"schema_version":"1.0","source":{"id":"1703.06514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.06514","created_at":"2026-05-18T00:48:22Z"},{"alias_kind":"arxiv_version","alias_value":"1703.06514v1","created_at":"2026-05-18T00:48:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.06514","created_at":"2026-05-18T00:48:22Z"},{"alias_kind":"pith_short_12","alias_value":"LXVIGBCMGIQX","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"LXVIGBCMGIQXD2G5","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"LXVIGBCM","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:dfca3e57f9c1fed19f00c4ae5f4f02ec3e82617a414da761b61a2e8f957ea926","target":"graph","created_at":"2026-05-18T00:48:22Z","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 propose a new method for training iterative collective classifiers for labeling nodes in network data. The iterative classification algorithm (ICA) is a canonical method for incorporating relational information into classification. Yet, existing methods for training ICA models rely on the assumption that relational features reflect the true labels of the nodes. This unrealistic assumption introduces a bias that is inconsistent with the actual prediction algorithm. In this paper, we introduce recurrent collective classification (RCC), a variant of ICA analogous to recurrent neural network pr","authors_text":"Bert Huang, Shuangfei Fan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-19T21:19:04Z","title":"Recurrent Collective Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.06514","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":"sha256:987fca249d0622dd1e2c0d0154ea441d69b570b218358ef9847f47c4aaee9396","target":"record","created_at":"2026-05-18T00:48:22Z","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":"6d71fad7ed580f6158b740b61da7deabed9bc976cc69d4ca16c7df7e11926104","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-19T21:19:04Z","title_canon_sha256":"22d4288a88046e9831d84d84b16cfa43cc297cfff95658fcc778c9174c7ff209"},"schema_version":"1.0","source":{"id":"1703.06514","kind":"arxiv","version":1}},"canonical_sha256":"5dea83044c322171e8dd3e09e1a1ee4f725057608e46b71f26e776346b60c7f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5dea83044c322171e8dd3e09e1a1ee4f725057608e46b71f26e776346b60c7f3","first_computed_at":"2026-05-18T00:48:22.608810Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:22.608810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/ouNlIaqxboyHJcO2qBvkElCdS53Ykb+uL+bIJfImQzJXYJFr/eyL/VQ6ub62+mv1J1jdtyY4E2rcAHsQAM+Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:22.609557Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.06514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:987fca249d0622dd1e2c0d0154ea441d69b570b218358ef9847f47c4aaee9396","sha256:dfca3e57f9c1fed19f00c4ae5f4f02ec3e82617a414da761b61a2e8f957ea926"],"state_sha256":"ed8b61a2ac131451bb4c946cb4f3a89848c6e231e7c84d1061a28703ae139ad8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qTyzq74lXvxuiD0TONX4z5hO8FzmI1XuXRznLgqoKvV/Tv1xLqzA0q0AV3vtAXOIvqwQZOq8db20OghLa/t5Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T12:47:25.667562Z","bundle_sha256":"5f5c2327bb839f5ad9286f4b029bf3bb6d2e4e217c72e61c4ed37d3d1d12c045"}}