{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:FKP4YUPNESF2Q6AIAV2QKTXUVP","short_pith_number":"pith:FKP4YUPN","canonical_record":{"source":{"id":"1703.10252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-28T15:20:52Z","cross_cats_sorted":["hep-th","math.CO"],"title_canon_sha256":"b80ec819450fc6b34befaa08a741cb23c260fa78d3f09f08eb58cb88b9d0b723","abstract_canon_sha256":"45b31db1805919aa5837ddea2d62b744cac71b4f3c5dd1623b3ceebc205375a1"},"schema_version":"1.0"},"canonical_sha256":"2a9fcc51ed248ba878080575054ef4abebd0e3df14ef54ea1503b6268dcaa8fc","source":{"kind":"arxiv","id":"1703.10252","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.10252","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"1703.10252v1","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.10252","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"FKP4YUPNESF2","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FKP4YUPNESF2Q6AI","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FKP4YUPN","created_at":"2026-05-18T12:31:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:FKP4YUPNESF2Q6AIAV2QKTXUVP","target":"record","payload":{"canonical_record":{"source":{"id":"1703.10252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-28T15:20:52Z","cross_cats_sorted":["hep-th","math.CO"],"title_canon_sha256":"b80ec819450fc6b34befaa08a741cb23c260fa78d3f09f08eb58cb88b9d0b723","abstract_canon_sha256":"45b31db1805919aa5837ddea2d62b744cac71b4f3c5dd1623b3ceebc205375a1"},"schema_version":"1.0"},"canonical_sha256":"2a9fcc51ed248ba878080575054ef4abebd0e3df14ef54ea1503b6268dcaa8fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:36.773802Z","signature_b64":"4MVua394FQG+6yteuXtB+VMDJs1RBOpHTCxJJIGmL4Sk0iz9cHNKuykl5S0ic5WMfiknEp+ltCXhdmJ40nkQDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a9fcc51ed248ba878080575054ef4abebd0e3df14ef54ea1503b6268dcaa8fc","last_reissued_at":"2026-05-18T00:47:36.773350Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:36.773350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.10252","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":"2026-05-18T00:47:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vii0z7Xvpl761/koT1x4eeq2mTpYjDRBSU3Hv5TZtDBym8g8e22cDvYeVnKmYHN2iJvItZhOAnRKo0IbDY1hDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T02:54:26.772120Z"},"content_sha256":"749af56c3235c2c495c9c6ab484f7816163a119e35cd401785675762ff2c7978","schema_version":"1.0","event_id":"sha256:749af56c3235c2c495c9c6ab484f7816163a119e35cd401785675762ff2c7978"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:FKP4YUPNESF2Q6AIAV2QKTXUVP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Linguistic Matrix Theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-th","math.CO"],"primary_cat":"cs.CL","authors_text":"Dimitrios Kartsaklis, Mehrnoosh Sadrzadeh, Sanjaye Ramgoolam","submitted_at":"2017-03-28T15:20:52Z","abstract_excerpt":"Recent research in computational linguistics has developed algorithms which associate matrices with adjectives and verbs, based on the distribution of words in a corpus of text. These matrices are linear operators on a vector space of context words. They are used to construct the meaning of composite expressions from that of the elementary constituents, forming part of a compositional distributional approach to semantics. We propose a Matrix Theory approach to this data, based on permutation symmetry along with Gaussian weights and their perturbations. A simple Gaussian model is tested against"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.10252","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":"2026-05-18T00:47:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u7z7JqLormRLbTXuOb0ijxRg975RBpnJj63lCj6FyKK+PJBgjUCqtD7OKoa+XoXN8S456RlIODwvFSRfIGhCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T02:54:26.772495Z"},"content_sha256":"314e507a20f820e6efad5f182ceab2b9a33a4deb9ba0211052e5a4375aceb1c1","schema_version":"1.0","event_id":"sha256:314e507a20f820e6efad5f182ceab2b9a33a4deb9ba0211052e5a4375aceb1c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP/bundle.json","state_url":"https://pith.science/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP/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":"2026-05-22T02:54:26Z","links":{"resolver":"https://pith.science/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP","bundle":"https://pith.science/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP/bundle.json","state":"https://pith.science/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FKP4YUPNESF2Q6AIAV2QKTXUVP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:FKP4YUPNESF2Q6AIAV2QKTXUVP","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":"45b31db1805919aa5837ddea2d62b744cac71b4f3c5dd1623b3ceebc205375a1","cross_cats_sorted":["hep-th","math.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-28T15:20:52Z","title_canon_sha256":"b80ec819450fc6b34befaa08a741cb23c260fa78d3f09f08eb58cb88b9d0b723"},"schema_version":"1.0","source":{"id":"1703.10252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.10252","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"1703.10252v1","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.10252","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"FKP4YUPNESF2","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FKP4YUPNESF2Q6AI","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FKP4YUPN","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:314e507a20f820e6efad5f182ceab2b9a33a4deb9ba0211052e5a4375aceb1c1","target":"graph","created_at":"2026-05-18T00:47:36Z","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":"Recent research in computational linguistics has developed algorithms which associate matrices with adjectives and verbs, based on the distribution of words in a corpus of text. These matrices are linear operators on a vector space of context words. They are used to construct the meaning of composite expressions from that of the elementary constituents, forming part of a compositional distributional approach to semantics. We propose a Matrix Theory approach to this data, based on permutation symmetry along with Gaussian weights and their perturbations. A simple Gaussian model is tested against","authors_text":"Dimitrios Kartsaklis, Mehrnoosh Sadrzadeh, Sanjaye Ramgoolam","cross_cats":["hep-th","math.CO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-28T15:20:52Z","title":"Linguistic Matrix Theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.10252","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":"sha256:749af56c3235c2c495c9c6ab484f7816163a119e35cd401785675762ff2c7978","target":"record","created_at":"2026-05-18T00:47:36Z","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":"45b31db1805919aa5837ddea2d62b744cac71b4f3c5dd1623b3ceebc205375a1","cross_cats_sorted":["hep-th","math.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-28T15:20:52Z","title_canon_sha256":"b80ec819450fc6b34befaa08a741cb23c260fa78d3f09f08eb58cb88b9d0b723"},"schema_version":"1.0","source":{"id":"1703.10252","kind":"arxiv","version":1}},"canonical_sha256":"2a9fcc51ed248ba878080575054ef4abebd0e3df14ef54ea1503b6268dcaa8fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a9fcc51ed248ba878080575054ef4abebd0e3df14ef54ea1503b6268dcaa8fc","first_computed_at":"2026-05-18T00:47:36.773350Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:36.773350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4MVua394FQG+6yteuXtB+VMDJs1RBOpHTCxJJIGmL4Sk0iz9cHNKuykl5S0ic5WMfiknEp+ltCXhdmJ40nkQDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:36.773802Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.10252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:749af56c3235c2c495c9c6ab484f7816163a119e35cd401785675762ff2c7978","sha256:314e507a20f820e6efad5f182ceab2b9a33a4deb9ba0211052e5a4375aceb1c1"],"state_sha256":"b7b52033b590c5bd63d6d187f97227a76e16be2ed9c8ec84e64e53b198e6095f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2EXm4QJcgUEiA+X4Sss2AwYieugbukdqZKfjMozIwDBldZEuqgWGIWA+LeBMERfTw7WaBlzZ8up92aHR4mEhAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T02:54:26.775645Z","bundle_sha256":"9a5aab27f6b5e39da4157ae205b3a1fdee6138cb959d5da8cd70151e194ab0fb"}}