{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3I2DJ7VORE546PVKSOWIP6AJLA","short_pith_number":"pith:3I2DJ7VO","canonical_record":{"source":{"id":"1805.09547","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T08:32:53Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"95e5a6b5cea5fd6e45aa13bec931245ee29561e636045a5e4ccb9657f56990a5","abstract_canon_sha256":"f109d6dda3e5ee8face492800a57488d03d8b4777927f2b0fed16e7a0794372c"},"schema_version":"1.0"},"canonical_sha256":"da3434feae893bcf3eaa93ac87f8095822f3ed7636867734f6e708d868d562a5","source":{"kind":"arxiv","id":"1805.09547","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.09547","created_at":"2026-05-18T00:15:03Z"},{"alias_kind":"arxiv_version","alias_value":"1805.09547v1","created_at":"2026-05-18T00:15:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.09547","created_at":"2026-05-18T00:15:03Z"},{"alias_kind":"pith_short_12","alias_value":"3I2DJ7VORE54","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3I2DJ7VORE546PVK","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3I2DJ7VO","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3I2DJ7VORE546PVKSOWIP6AJLA","target":"record","payload":{"canonical_record":{"source":{"id":"1805.09547","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T08:32:53Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"95e5a6b5cea5fd6e45aa13bec931245ee29561e636045a5e4ccb9657f56990a5","abstract_canon_sha256":"f109d6dda3e5ee8face492800a57488d03d8b4777927f2b0fed16e7a0794372c"},"schema_version":"1.0"},"canonical_sha256":"da3434feae893bcf3eaa93ac87f8095822f3ed7636867734f6e708d868d562a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:03.611477Z","signature_b64":"gOx56LvqtFxb8D7Fq2LR9ZrFgXkQnJ0yiCQRqXthvO/8VAYRpFrZSXn0lg8Bml1tFwQENiRbh/1CUowTRE9YAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da3434feae893bcf3eaa93ac87f8095822f3ed7636867734f6e708d868d562a5","last_reissued_at":"2026-05-18T00:15:03.610718Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:03.610718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.09547","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":"2026-05-18T00:15:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7z+4ZvoQhwHhAFuDY72awhe8q6L1CafYZbqGpGiuBGigOMXe1Dptzcth/l2X4v0CvFpCkBFR8eR4DnesgkFGCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T04:25:36.821072Z"},"content_sha256":"c1acd3c68bd5c9435f19641877c93b698fe74280dd8cf72fbcb99ef7c4e159fc","schema_version":"1.0","event_id":"sha256:c1acd3c68bd5c9435f19641877c93b698fe74280dd8cf72fbcb99ef7c4e159fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3I2DJ7VORE546PVKSOWIP6AJLA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Kentaro Inui, Ran Tian, Ryo Takahashi","submitted_at":"2018-05-24T08:32:53Z","abstract_excerpt":"Embedding models for entities and relations are extremely useful for recovering missing facts in a knowledge base. Intuitively, a relation can be modeled by a matrix mapping entity vectors. However, relations reside on low dimension sub-manifolds in the parameter space of arbitrary matrices---for one reason, composition of two relations $\\boldsymbol{M}_1,\\boldsymbol{M}_2$ may match a third $\\boldsymbol{M}_3$ (e.g. composition of relations currency_of_country and country_of_film usually matches currency_of_film_budget), which imposes compositional constraints to be satisfied by the parameters ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.09547","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":"2026-05-18T00:15:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H21PQdcH1f9n4eptHpKvVCLDBXX8zeAhixOI9DvUu/UXrtmuCVWC+V5kualAk+qdoEgUWfOcX+K7fEABA2DOAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T04:25:36.821839Z"},"content_sha256":"5635c090f3df9f11228c006803d9400971671fd3ba0c5d1311786ed869fe9c23","schema_version":"1.0","event_id":"sha256:5635c090f3df9f11228c006803d9400971671fd3ba0c5d1311786ed869fe9c23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3I2DJ7VORE546PVKSOWIP6AJLA/bundle.json","state_url":"https://pith.science/pith/3I2DJ7VORE546PVKSOWIP6AJLA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3I2DJ7VORE546PVKSOWIP6AJLA/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":"2026-05-19T04:25:36Z","links":{"resolver":"https://pith.science/pith/3I2DJ7VORE546PVKSOWIP6AJLA","bundle":"https://pith.science/pith/3I2DJ7VORE546PVKSOWIP6AJLA/bundle.json","state":"https://pith.science/pith/3I2DJ7VORE546PVKSOWIP6AJLA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3I2DJ7VORE546PVKSOWIP6AJLA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3I2DJ7VORE546PVKSOWIP6AJLA","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":"f109d6dda3e5ee8face492800a57488d03d8b4777927f2b0fed16e7a0794372c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T08:32:53Z","title_canon_sha256":"95e5a6b5cea5fd6e45aa13bec931245ee29561e636045a5e4ccb9657f56990a5"},"schema_version":"1.0","source":{"id":"1805.09547","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.09547","created_at":"2026-05-18T00:15:03Z"},{"alias_kind":"arxiv_version","alias_value":"1805.09547v1","created_at":"2026-05-18T00:15:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.09547","created_at":"2026-05-18T00:15:03Z"},{"alias_kind":"pith_short_12","alias_value":"3I2DJ7VORE54","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3I2DJ7VORE546PVK","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3I2DJ7VO","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:5635c090f3df9f11228c006803d9400971671fd3ba0c5d1311786ed869fe9c23","target":"graph","created_at":"2026-05-18T00:15:03Z","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":"Embedding models for entities and relations are extremely useful for recovering missing facts in a knowledge base. Intuitively, a relation can be modeled by a matrix mapping entity vectors. However, relations reside on low dimension sub-manifolds in the parameter space of arbitrary matrices---for one reason, composition of two relations $\\boldsymbol{M}_1,\\boldsymbol{M}_2$ may match a third $\\boldsymbol{M}_3$ (e.g. composition of relations currency_of_country and country_of_film usually matches currency_of_film_budget), which imposes compositional constraints to be satisfied by the parameters (","authors_text":"Kentaro Inui, Ran Tian, Ryo Takahashi","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T08:32:53Z","title":"Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.09547","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:c1acd3c68bd5c9435f19641877c93b698fe74280dd8cf72fbcb99ef7c4e159fc","target":"record","created_at":"2026-05-18T00:15:03Z","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":"f109d6dda3e5ee8face492800a57488d03d8b4777927f2b0fed16e7a0794372c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T08:32:53Z","title_canon_sha256":"95e5a6b5cea5fd6e45aa13bec931245ee29561e636045a5e4ccb9657f56990a5"},"schema_version":"1.0","source":{"id":"1805.09547","kind":"arxiv","version":1}},"canonical_sha256":"da3434feae893bcf3eaa93ac87f8095822f3ed7636867734f6e708d868d562a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da3434feae893bcf3eaa93ac87f8095822f3ed7636867734f6e708d868d562a5","first_computed_at":"2026-05-18T00:15:03.610718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:03.610718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gOx56LvqtFxb8D7Fq2LR9ZrFgXkQnJ0yiCQRqXthvO/8VAYRpFrZSXn0lg8Bml1tFwQENiRbh/1CUowTRE9YAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:03.611477Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.09547","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1acd3c68bd5c9435f19641877c93b698fe74280dd8cf72fbcb99ef7c4e159fc","sha256:5635c090f3df9f11228c006803d9400971671fd3ba0c5d1311786ed869fe9c23"],"state_sha256":"7de62f5ca69134a3e76b97e4d6db9aeeacdfb4e7d45e30b704e95ec47c21b9d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BN1jlbQh3WSSqBpx7nQp/2xny311aKBtQuSTH7pPOJ1LQbN+p19FR/yhB9q0nOtNawb/sblzihsAYojHawrIAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T04:25:36.824261Z","bundle_sha256":"f17891f2715876f00a2a2b38066e50805fce806f8422143f286e4f09892a1c7d"}}