{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:VC6V35VPPZ37LCCR7JTJ2QEHJE","short_pith_number":"pith:VC6V35VP","canonical_record":{"source":{"id":"1605.03956","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-12T19:59:43Z","cross_cats_sorted":[],"title_canon_sha256":"2b28fe12136671868ab08864e73808f185880ad22ff43522cb2b92e07223e504","abstract_canon_sha256":"7284332b79baf2b72dd992fbd4dc2ffc5ba1eae540c2142926a4bde930e57020"},"schema_version":"1.0"},"canonical_sha256":"a8bd5df6af7e77f58851fa669d4087490b40d91daccf86a6a8e99e996a3c6012","source":{"kind":"arxiv","id":"1605.03956","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.03956","created_at":"2026-05-18T01:14:59Z"},{"alias_kind":"arxiv_version","alias_value":"1605.03956v1","created_at":"2026-05-18T01:14:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.03956","created_at":"2026-05-18T01:14:59Z"},{"alias_kind":"pith_short_12","alias_value":"VC6V35VPPZ37","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VC6V35VPPZ37LCCR","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VC6V35VP","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:VC6V35VPPZ37LCCR7JTJ2QEHJE","target":"record","payload":{"canonical_record":{"source":{"id":"1605.03956","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-12T19:59:43Z","cross_cats_sorted":[],"title_canon_sha256":"2b28fe12136671868ab08864e73808f185880ad22ff43522cb2b92e07223e504","abstract_canon_sha256":"7284332b79baf2b72dd992fbd4dc2ffc5ba1eae540c2142926a4bde930e57020"},"schema_version":"1.0"},"canonical_sha256":"a8bd5df6af7e77f58851fa669d4087490b40d91daccf86a6a8e99e996a3c6012","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:14:59.167069Z","signature_b64":"H/43ttIup7eY27mz/mbRmoalLbLvc5S6Wqf/f7WLuwT2zIEXGZzoiHxvokbhqBJUwMJIx0/t9XCMQPXgUpQbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8bd5df6af7e77f58851fa669d4087490b40d91daccf86a6a8e99e996a3c6012","last_reissued_at":"2026-05-18T01:14:59.166623Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:14:59.166623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.03956","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":"2026-05-18T01:14:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vr6b9hpOVk7ICONK8IwHkGfpMRlyJWqykx3ZjR+60Q12jIvrEwEFZzbjyAHR1v/lhqrrSVlMS6EwqCLnn7NXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:00:03.246152Z"},"content_sha256":"648be61d87fdf8fde1549cc87f8cf01ed170092ae2667378a509a6bd9df7d67b","schema_version":"1.0","event_id":"sha256:648be61d87fdf8fde1549cc87f8cf01ed170092ae2667378a509a6bd9df7d67b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:VC6V35VPPZ37LCCR7JTJ2QEHJE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Convergent Properties of Word Embedding Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bryan Perozzi, Steven Skiena, Vivek Kulkarni, Yingtao Tian","submitted_at":"2016-05-12T19:59:43Z","abstract_excerpt":"Do word embeddings converge to learn similar things over different initializations? How repeatable are experiments with word embeddings? Are all word embedding techniques equally reliable? In this paper we propose evaluating methods for learning word representations by their consistency across initializations. We propose a measure to quantify the similarity of the learned word representations under this setting (where they are subject to different random initializations). Our preliminary results illustrate that our metric not only measures a intrinsic property of word embedding methods but als"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.03956","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":"2026-05-18T01:14:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dfDfG2ZnNkKe2FmWRN9n7uQsQrVw/L6/vllzKkcRLSRFz1BWOrleRx4gbx5i+pcatCSVRCtO/GVb/g10sgCVCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:00:03.246890Z"},"content_sha256":"329da471470cfe85819ec2a11b88fbc9f91ff5294470d036960a38808c23000e","schema_version":"1.0","event_id":"sha256:329da471470cfe85819ec2a11b88fbc9f91ff5294470d036960a38808c23000e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE/bundle.json","state_url":"https://pith.science/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE/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":"2026-05-25T21:00:03Z","links":{"resolver":"https://pith.science/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE","bundle":"https://pith.science/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE/bundle.json","state":"https://pith.science/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VC6V35VPPZ37LCCR7JTJ2QEHJE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:VC6V35VPPZ37LCCR7JTJ2QEHJE","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":"7284332b79baf2b72dd992fbd4dc2ffc5ba1eae540c2142926a4bde930e57020","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-12T19:59:43Z","title_canon_sha256":"2b28fe12136671868ab08864e73808f185880ad22ff43522cb2b92e07223e504"},"schema_version":"1.0","source":{"id":"1605.03956","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.03956","created_at":"2026-05-18T01:14:59Z"},{"alias_kind":"arxiv_version","alias_value":"1605.03956v1","created_at":"2026-05-18T01:14:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.03956","created_at":"2026-05-18T01:14:59Z"},{"alias_kind":"pith_short_12","alias_value":"VC6V35VPPZ37","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VC6V35VPPZ37LCCR","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VC6V35VP","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:329da471470cfe85819ec2a11b88fbc9f91ff5294470d036960a38808c23000e","target":"graph","created_at":"2026-05-18T01:14:59Z","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":"Do word embeddings converge to learn similar things over different initializations? How repeatable are experiments with word embeddings? Are all word embedding techniques equally reliable? In this paper we propose evaluating methods for learning word representations by their consistency across initializations. We propose a measure to quantify the similarity of the learned word representations under this setting (where they are subject to different random initializations). Our preliminary results illustrate that our metric not only measures a intrinsic property of word embedding methods but als","authors_text":"Bryan Perozzi, Steven Skiena, Vivek Kulkarni, Yingtao Tian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-12T19:59:43Z","title":"On the Convergent Properties of Word Embedding Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.03956","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":"sha256:648be61d87fdf8fde1549cc87f8cf01ed170092ae2667378a509a6bd9df7d67b","target":"record","created_at":"2026-05-18T01:14:59Z","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":"7284332b79baf2b72dd992fbd4dc2ffc5ba1eae540c2142926a4bde930e57020","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-12T19:59:43Z","title_canon_sha256":"2b28fe12136671868ab08864e73808f185880ad22ff43522cb2b92e07223e504"},"schema_version":"1.0","source":{"id":"1605.03956","kind":"arxiv","version":1}},"canonical_sha256":"a8bd5df6af7e77f58851fa669d4087490b40d91daccf86a6a8e99e996a3c6012","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8bd5df6af7e77f58851fa669d4087490b40d91daccf86a6a8e99e996a3c6012","first_computed_at":"2026-05-18T01:14:59.166623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:14:59.166623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H/43ttIup7eY27mz/mbRmoalLbLvc5S6Wqf/f7WLuwT2zIEXGZzoiHxvokbhqBJUwMJIx0/t9XCMQPXgUpQbBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:14:59.167069Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.03956","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:648be61d87fdf8fde1549cc87f8cf01ed170092ae2667378a509a6bd9df7d67b","sha256:329da471470cfe85819ec2a11b88fbc9f91ff5294470d036960a38808c23000e"],"state_sha256":"8a4a7b7de6261214fe1bd4b6d4ea26989fa619aa7f36f49716eaf096506a5dad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q5aAM4AxrpecJk67mjQVwyMdZv7Qh+VyqcQWBRGIlxU204SleTlcy3AJG0IveMAymWNKvjNu3c8byoPLOcQUCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:00:03.251894Z","bundle_sha256":"b19029579ff050235de5266718bacf5bbff47f1b4e20549209245087ddd474a0"}}