{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:PL3XTPOL5BXKC7MCIBMY2PSKHZ","short_pith_number":"pith:PL3XTPOL","canonical_record":{"source":{"id":"1705.04416","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-12T01:26:23Z","cross_cats_sorted":[],"title_canon_sha256":"ea3cc50f910a8f1342eb034aece03a240da69b9cdd5d972fdf6df45eb9723e33","abstract_canon_sha256":"ffbe4e58b5db52c723ff2cb39f6930a6f753a6ff208fd7225281ae196223c0bf"},"schema_version":"1.0"},"canonical_sha256":"7af779bdcbe86ea17d8240598d3e4a3e7fb615d64ed47a1fed24ce33dca005af","source":{"kind":"arxiv","id":"1705.04416","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.04416","created_at":"2026-05-18T00:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"1705.04416v2","created_at":"2026-05-18T00:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.04416","created_at":"2026-05-18T00:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"PL3XTPOL5BXK","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PL3XTPOL5BXKC7MC","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PL3XTPOL","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:PL3XTPOL5BXKC7MCIBMY2PSKHZ","target":"record","payload":{"canonical_record":{"source":{"id":"1705.04416","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-12T01:26:23Z","cross_cats_sorted":[],"title_canon_sha256":"ea3cc50f910a8f1342eb034aece03a240da69b9cdd5d972fdf6df45eb9723e33","abstract_canon_sha256":"ffbe4e58b5db52c723ff2cb39f6930a6f753a6ff208fd7225281ae196223c0bf"},"schema_version":"1.0"},"canonical_sha256":"7af779bdcbe86ea17d8240598d3e4a3e7fb615d64ed47a1fed24ce33dca005af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:43.540347Z","signature_b64":"oixrHvNiT7/Ev51dRe8lhZbJWbmWvaDYjczYMmhEzfo6RxWhcmZi7Oo2W1sVsUhAJZy+sBBhsKRI+Sf9vGnYDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7af779bdcbe86ea17d8240598d3e4a3e7fb615d64ed47a1fed24ce33dca005af","last_reissued_at":"2026-05-18T00:42:43.539801Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:43.539801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.04416","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":"2026-05-18T00:42:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YoSFI8dCwkXu4XxCTrdEW+UzFsPwJl0JZciqexH9Olv5DcwHKiNYKqHWnkrl2UV4iQI0ds9RkDOE8kyolUXABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:42:44.684826Z"},"content_sha256":"ec120fc5b1bf6781dbb44850899aabb845f86e1d3ae2e44139cbdace42763906","schema_version":"1.0","event_id":"sha256:ec120fc5b1bf6781dbb44850899aabb845f86e1d3ae2e44139cbdace42763906"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:PL3XTPOL5BXKC7MCIBMY2PSKHZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating vector-space models of analogy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dawn Chen, Joshua C. Peterson, Thomas L. Griffiths","submitted_at":"2017-05-12T01:26:23Z","abstract_excerpt":"Vector-space representations provide geometric tools for reasoning about the similarity of a set of objects and their relationships. Recent machine learning methods for deriving vector-space embeddings of words (e.g., word2vec) have achieved considerable success in natural language processing. These vector spaces have also been shown to exhibit a surprising capacity to capture verbal analogies, with similar results for natural images, giving new life to a classic model of analogies as parallelograms that was first proposed by cognitive scientists. We evaluate the parallelogram model of analogy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.04416","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":"2026-05-18T00:42:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dHp7CqDdQL0WPJE5ynOzqjyo9CfV8fOKiBxgUoaYw1ZIWMTHFSdLEixXdIaI2sXb2Iy4CnRJyPdAKbFP67hYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:42:44.685179Z"},"content_sha256":"80b4cbcfd7feb88631b1e8776bfa15bc5e2cd9f1e1fe9ff01d86ea3a5b158236","schema_version":"1.0","event_id":"sha256:80b4cbcfd7feb88631b1e8776bfa15bc5e2cd9f1e1fe9ff01d86ea3a5b158236"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ/bundle.json","state_url":"https://pith.science/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ/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":"2026-05-31T05:42:44Z","links":{"resolver":"https://pith.science/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ","bundle":"https://pith.science/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ/bundle.json","state":"https://pith.science/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PL3XTPOL5BXKC7MCIBMY2PSKHZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PL3XTPOL5BXKC7MCIBMY2PSKHZ","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":"ffbe4e58b5db52c723ff2cb39f6930a6f753a6ff208fd7225281ae196223c0bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-12T01:26:23Z","title_canon_sha256":"ea3cc50f910a8f1342eb034aece03a240da69b9cdd5d972fdf6df45eb9723e33"},"schema_version":"1.0","source":{"id":"1705.04416","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.04416","created_at":"2026-05-18T00:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"1705.04416v2","created_at":"2026-05-18T00:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.04416","created_at":"2026-05-18T00:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"PL3XTPOL5BXK","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PL3XTPOL5BXKC7MC","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PL3XTPOL","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:80b4cbcfd7feb88631b1e8776bfa15bc5e2cd9f1e1fe9ff01d86ea3a5b158236","target":"graph","created_at":"2026-05-18T00:42:43Z","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":"Vector-space representations provide geometric tools for reasoning about the similarity of a set of objects and their relationships. Recent machine learning methods for deriving vector-space embeddings of words (e.g., word2vec) have achieved considerable success in natural language processing. These vector spaces have also been shown to exhibit a surprising capacity to capture verbal analogies, with similar results for natural images, giving new life to a classic model of analogies as parallelograms that was first proposed by cognitive scientists. We evaluate the parallelogram model of analogy","authors_text":"Dawn Chen, Joshua C. Peterson, Thomas L. Griffiths","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-12T01:26:23Z","title":"Evaluating vector-space models of analogy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.04416","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:ec120fc5b1bf6781dbb44850899aabb845f86e1d3ae2e44139cbdace42763906","target":"record","created_at":"2026-05-18T00:42:43Z","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":"ffbe4e58b5db52c723ff2cb39f6930a6f753a6ff208fd7225281ae196223c0bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-12T01:26:23Z","title_canon_sha256":"ea3cc50f910a8f1342eb034aece03a240da69b9cdd5d972fdf6df45eb9723e33"},"schema_version":"1.0","source":{"id":"1705.04416","kind":"arxiv","version":2}},"canonical_sha256":"7af779bdcbe86ea17d8240598d3e4a3e7fb615d64ed47a1fed24ce33dca005af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7af779bdcbe86ea17d8240598d3e4a3e7fb615d64ed47a1fed24ce33dca005af","first_computed_at":"2026-05-18T00:42:43.539801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:43.539801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oixrHvNiT7/Ev51dRe8lhZbJWbmWvaDYjczYMmhEzfo6RxWhcmZi7Oo2W1sVsUhAJZy+sBBhsKRI+Sf9vGnYDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:43.540347Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.04416","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec120fc5b1bf6781dbb44850899aabb845f86e1d3ae2e44139cbdace42763906","sha256:80b4cbcfd7feb88631b1e8776bfa15bc5e2cd9f1e1fe9ff01d86ea3a5b158236"],"state_sha256":"02f288fcaa2386e4360532e95f32d3f0911f5260c535598d64c56c4b2d93e746"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R3FfDvOTFwFdsAT0AAgutfKYmMhQslUfUBgg5yY0xKBeiJRTefM2skM6iwPIaTSs0IzLcEp98E6IHd4DZLK5BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T05:42:44.687393Z","bundle_sha256":"18903a0338f3da618ca6f5d2da73b44e069e6c01acaf7337e84e06c403c5b3fd"}}