{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:2ZTQWWQFA72MYIMCODERPWPSBG","short_pith_number":"pith:2ZTQWWQF","canonical_record":{"source":{"id":"1403.6652","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2014-03-26T12:30:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2e93c19871b7facaa67348dd0a0d75ba3cabeea06475a34e68cd8a579c588a59","abstract_canon_sha256":"9da552180916b946eb0fdb81165ff88f0ed73e7b14a7cebdcde20cbb7e845154"},"schema_version":"1.0"},"canonical_sha256":"d6670b5a0507f4cc218270c917d9f209b57a50c0f806596112e1fe29a3c656db","source":{"kind":"arxiv","id":"1403.6652","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.6652","created_at":"2026-05-18T02:48:54Z"},{"alias_kind":"arxiv_version","alias_value":"1403.6652v2","created_at":"2026-05-18T02:48:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.6652","created_at":"2026-05-18T02:48:54Z"},{"alias_kind":"pith_short_12","alias_value":"2ZTQWWQFA72M","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"2ZTQWWQFA72MYIMC","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"2ZTQWWQF","created_at":"2026-05-18T12:28:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:2ZTQWWQFA72MYIMCODERPWPSBG","target":"record","payload":{"canonical_record":{"source":{"id":"1403.6652","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2014-03-26T12:30:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2e93c19871b7facaa67348dd0a0d75ba3cabeea06475a34e68cd8a579c588a59","abstract_canon_sha256":"9da552180916b946eb0fdb81165ff88f0ed73e7b14a7cebdcde20cbb7e845154"},"schema_version":"1.0"},"canonical_sha256":"d6670b5a0507f4cc218270c917d9f209b57a50c0f806596112e1fe29a3c656db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:48:54.613925Z","signature_b64":"qjf1PWDsmE2xdB8kQN8lSmX7P+kZjQwWBo6Az0LIyVJyfCXH/+iAg72EgFLvfcTZ3I2rKrtwDrrB+yWWdTjeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6670b5a0507f4cc218270c917d9f209b57a50c0f806596112e1fe29a3c656db","last_reissued_at":"2026-05-18T02:48:54.613372Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:48:54.613372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.6652","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:48:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VdbEAq+/Vvm1DmgKAllW07cfHyvVqeva82nc/Tw6KgkYTTa0qinYrwZMN3guz4oLSAarbT5GxJCmbgwVnpAdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:26:43.135921Z"},"content_sha256":"f907ed046842f90cbb1661807a88790ecd8e1dc90d3a08067b68d56cf480f3e0","schema_version":"1.0","event_id":"sha256:f907ed046842f90cbb1661807a88790ecd8e1dc90d3a08067b68d56cf480f3e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:2ZTQWWQFA72MYIMCODERPWPSBG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepWalk: Online Learning of Social Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SI","authors_text":"Bryan Perozzi, Rami Al-Rfou, Steven Skiena","submitted_at":"2014-03-26T12:30:07Z","abstract_excerpt":"We present DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector space, which is easily exploited by statistical models. DeepWalk generalizes recent advancements in language modeling and unsupervised feature learning (or deep learning) from sequences of words to graphs. DeepWalk uses local information obtained from truncated random walks to learn latent representations by treating walks as the equivalent of sentences. We demonstrate DeepWalk's latent representations on several multi-l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.6652","kind":"arxiv","version":2},"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":"2026-05-18T02:48:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KeE4ttmgMl11OTsKVGEtZqAkJ7Vrkhy+Bc7hYS7wYmXbHkRxb9Kk+OJ4WZ4EFUxnu5NYQI4aJQwbe/Iu9JV8BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:26:43.136570Z"},"content_sha256":"32061d25d603619efab38b428116b51e35ddca821de77b6870e3fe076b05d93b","schema_version":"1.0","event_id":"sha256:32061d25d603619efab38b428116b51e35ddca821de77b6870e3fe076b05d93b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ZTQWWQFA72MYIMCODERPWPSBG/bundle.json","state_url":"https://pith.science/pith/2ZTQWWQFA72MYIMCODERPWPSBG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ZTQWWQFA72MYIMCODERPWPSBG/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":"2026-05-25T19:26:43Z","links":{"resolver":"https://pith.science/pith/2ZTQWWQFA72MYIMCODERPWPSBG","bundle":"https://pith.science/pith/2ZTQWWQFA72MYIMCODERPWPSBG/bundle.json","state":"https://pith.science/pith/2ZTQWWQFA72MYIMCODERPWPSBG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ZTQWWQFA72MYIMCODERPWPSBG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:2ZTQWWQFA72MYIMCODERPWPSBG","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":"9da552180916b946eb0fdb81165ff88f0ed73e7b14a7cebdcde20cbb7e845154","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2014-03-26T12:30:07Z","title_canon_sha256":"2e93c19871b7facaa67348dd0a0d75ba3cabeea06475a34e68cd8a579c588a59"},"schema_version":"1.0","source":{"id":"1403.6652","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.6652","created_at":"2026-05-18T02:48:54Z"},{"alias_kind":"arxiv_version","alias_value":"1403.6652v2","created_at":"2026-05-18T02:48:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.6652","created_at":"2026-05-18T02:48:54Z"},{"alias_kind":"pith_short_12","alias_value":"2ZTQWWQFA72M","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"2ZTQWWQFA72MYIMC","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"2ZTQWWQF","created_at":"2026-05-18T12:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:32061d25d603619efab38b428116b51e35ddca821de77b6870e3fe076b05d93b","target":"graph","created_at":"2026-05-18T02:48:54Z","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 DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector space, which is easily exploited by statistical models. DeepWalk generalizes recent advancements in language modeling and unsupervised feature learning (or deep learning) from sequences of words to graphs. DeepWalk uses local information obtained from truncated random walks to learn latent representations by treating walks as the equivalent of sentences. We demonstrate DeepWalk's latent representations on several multi-l","authors_text":"Bryan Perozzi, Rami Al-Rfou, Steven Skiena","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2014-03-26T12:30:07Z","title":"DeepWalk: Online Learning of Social Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.6652","kind":"arxiv","version":2},"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:f907ed046842f90cbb1661807a88790ecd8e1dc90d3a08067b68d56cf480f3e0","target":"record","created_at":"2026-05-18T02:48:54Z","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":"9da552180916b946eb0fdb81165ff88f0ed73e7b14a7cebdcde20cbb7e845154","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2014-03-26T12:30:07Z","title_canon_sha256":"2e93c19871b7facaa67348dd0a0d75ba3cabeea06475a34e68cd8a579c588a59"},"schema_version":"1.0","source":{"id":"1403.6652","kind":"arxiv","version":2}},"canonical_sha256":"d6670b5a0507f4cc218270c917d9f209b57a50c0f806596112e1fe29a3c656db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6670b5a0507f4cc218270c917d9f209b57a50c0f806596112e1fe29a3c656db","first_computed_at":"2026-05-18T02:48:54.613372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:48:54.613372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qjf1PWDsmE2xdB8kQN8lSmX7P+kZjQwWBo6Az0LIyVJyfCXH/+iAg72EgFLvfcTZ3I2rKrtwDrrB+yWWdTjeDA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:48:54.613925Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.6652","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f907ed046842f90cbb1661807a88790ecd8e1dc90d3a08067b68d56cf480f3e0","sha256:32061d25d603619efab38b428116b51e35ddca821de77b6870e3fe076b05d93b"],"state_sha256":"73ad06592f7ca7bef7ea03c614db9fbd2b3af2c52503d9e980039dd315fef2e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YWSt5ZRo02swjZPjiTrZ6tVYjI/iJRBHuSENozV+JOkv2AkTJWbCZYdz4uiH3tU5bDOhH4DSL2WLtRlrAXMiAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T19:26:43.140182Z","bundle_sha256":"6d66ec6451b3bef134245da3b51a0d84b380eaa0ab57690ad2d776e541698988"}}