{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LZ2CS4DJX2ZSWC33GFKO23MY3Z","short_pith_number":"pith:LZ2CS4DJ","canonical_record":{"source":{"id":"2412.13745","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T11:26:51Z","cross_cats_sorted":[],"title_canon_sha256":"d9105d7ce9ad63afe4b3efb34032978d0ad38e27d41bf30c882991f376b696d3","abstract_canon_sha256":"98d3bc75bc662bc767cf568cb116750579f66411ec1a5a2e7040c8a53009d0a5"},"schema_version":"1.0"},"canonical_sha256":"5e74297069beb32b0b7b3154ed6d98de46dd2205775a74e88b00a8708b2c2196","source":{"kind":"arxiv","id":"2412.13745","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13745","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13745v1","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13745","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_12","alias_value":"LZ2CS4DJX2ZS","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_16","alias_value":"LZ2CS4DJX2ZSWC33","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_8","alias_value":"LZ2CS4DJ","created_at":"2026-07-05T09:51:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LZ2CS4DJX2ZSWC33GFKO23MY3Z","target":"record","payload":{"canonical_record":{"source":{"id":"2412.13745","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T11:26:51Z","cross_cats_sorted":[],"title_canon_sha256":"d9105d7ce9ad63afe4b3efb34032978d0ad38e27d41bf30c882991f376b696d3","abstract_canon_sha256":"98d3bc75bc662bc767cf568cb116750579f66411ec1a5a2e7040c8a53009d0a5"},"schema_version":"1.0"},"canonical_sha256":"5e74297069beb32b0b7b3154ed6d98de46dd2205775a74e88b00a8708b2c2196","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:07.593559Z","signature_b64":"BloTc/6KTSWZbzy8XY9ByA1iKRPEKkfH/2M7kGmJ6wji1cIqeXKnOnysYkDbcGIUtxpVvHgoGP0k2eFw7cTEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e74297069beb32b0b7b3154ed6d98de46dd2205775a74e88b00a8708b2c2196","last_reissued_at":"2026-07-05T09:51:07.592753Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:07.592753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.13745","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":"2026-07-05T09:51:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Djk6t3Sb8dEaM2rb1DoTNypdgI1FzocsECShbNXNYxe6iHyX0+yObYSnnjfEBDJLqznPdWizgOU46kVN7MnCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T03:29:19.595680Z"},"content_sha256":"26b8d107cb21b7f794958606d6a6cf9c1864c2369bc7fcd9b78ab927eeacf5c9","schema_version":"1.0","event_id":"sha256:26b8d107cb21b7f794958606d6a6cf9c1864c2369bc7fcd9b78ab927eeacf5c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LZ2CS4DJX2ZSWC33GFKO23MY3Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Complex Word Embeddings in Classical and Quantum Spaces","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Carys Harvey, Douglas Brown, Konstantinos Meichanetzidis, Stephen Clark","submitted_at":"2024-12-18T11:26:51Z","abstract_excerpt":"We present a variety of methods for training complex-valued word embeddings, based on the classical Skip-gram model, with a straightforward adaptation simply replacing the real-valued vectors with arbitrary vectors of complex numbers. In a more \"physically-inspired\" approach, the vectors are produced by parameterised quantum circuits (PQCs), which are unitary transformations resulting in normalised vectors which have a probabilistic interpretation. We develop a complex-valued version of the highly optimised C code version of Skip-gram, which allows us to easily produce complex embeddings train"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13745","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.13745/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T09:51:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KlgqMz62i4C+1Ub5LlrGErWCofLrRHGmK802+t6Y8AOpz43ncAvJE2AyW0TovZ9hgIBq4QZbV/ysLjHVDaM3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T03:29:19.596215Z"},"content_sha256":"a34d9e123c8bb990aa6808f456668b77adfb988ee6c608db5abc2f8be4491d27","schema_version":"1.0","event_id":"sha256:a34d9e123c8bb990aa6808f456668b77adfb988ee6c608db5abc2f8be4491d27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z/bundle.json","state_url":"https://pith.science/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z/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":"2026-08-12T03:29:19Z","links":{"resolver":"https://pith.science/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z","bundle":"https://pith.science/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z/bundle.json","state":"https://pith.science/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LZ2CS4DJX2ZSWC33GFKO23MY3Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LZ2CS4DJX2ZSWC33GFKO23MY3Z","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":"98d3bc75bc662bc767cf568cb116750579f66411ec1a5a2e7040c8a53009d0a5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T11:26:51Z","title_canon_sha256":"d9105d7ce9ad63afe4b3efb34032978d0ad38e27d41bf30c882991f376b696d3"},"schema_version":"1.0","source":{"id":"2412.13745","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13745","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13745v1","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13745","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_12","alias_value":"LZ2CS4DJX2ZS","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_16","alias_value":"LZ2CS4DJX2ZSWC33","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_8","alias_value":"LZ2CS4DJ","created_at":"2026-07-05T09:51:07Z"}],"graph_snapshots":[{"event_id":"sha256:a34d9e123c8bb990aa6808f456668b77adfb988ee6c608db5abc2f8be4491d27","target":"graph","created_at":"2026-07-05T09:51:07Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.13745/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a variety of methods for training complex-valued word embeddings, based on the classical Skip-gram model, with a straightforward adaptation simply replacing the real-valued vectors with arbitrary vectors of complex numbers. In a more \"physically-inspired\" approach, the vectors are produced by parameterised quantum circuits (PQCs), which are unitary transformations resulting in normalised vectors which have a probabilistic interpretation. We develop a complex-valued version of the highly optimised C code version of Skip-gram, which allows us to easily produce complex embeddings train","authors_text":"Carys Harvey, Douglas Brown, Konstantinos Meichanetzidis, Stephen Clark","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T11:26:51Z","title":"Learning Complex Word Embeddings in Classical and Quantum Spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13745","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":"sha256:26b8d107cb21b7f794958606d6a6cf9c1864c2369bc7fcd9b78ab927eeacf5c9","target":"record","created_at":"2026-07-05T09:51:07Z","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":"98d3bc75bc662bc767cf568cb116750579f66411ec1a5a2e7040c8a53009d0a5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T11:26:51Z","title_canon_sha256":"d9105d7ce9ad63afe4b3efb34032978d0ad38e27d41bf30c882991f376b696d3"},"schema_version":"1.0","source":{"id":"2412.13745","kind":"arxiv","version":1}},"canonical_sha256":"5e74297069beb32b0b7b3154ed6d98de46dd2205775a74e88b00a8708b2c2196","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e74297069beb32b0b7b3154ed6d98de46dd2205775a74e88b00a8708b2c2196","first_computed_at":"2026-07-05T09:51:07.592753Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:07.592753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BloTc/6KTSWZbzy8XY9ByA1iKRPEKkfH/2M7kGmJ6wji1cIqeXKnOnysYkDbcGIUtxpVvHgoGP0k2eFw7cTEBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:07.593559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13745","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26b8d107cb21b7f794958606d6a6cf9c1864c2369bc7fcd9b78ab927eeacf5c9","sha256:a34d9e123c8bb990aa6808f456668b77adfb988ee6c608db5abc2f8be4491d27"],"state_sha256":"2d9ca80ab0e28fe9b0f9a2fb144467fdc99ab7d06ac552f6d182561bde3a557f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9mpHo3BnNe4AD7QAu4bHeEUN6JSMp/Vfifr8lmvM9s5PPcf0KRXRNnictcwZtalslT83SNst5QqZ3JUcFHNDAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T03:29:19.600617Z","bundle_sha256":"260cfb2096ae2d20ccf920c69e0e04ee0656d4799754ac4d34e4638f61a39bc9"}}