{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:EZWYCJX3JKTYAKU4KAED4ZJD3Y","short_pith_number":"pith:EZWYCJX3","canonical_record":{"source":{"id":"1709.01193","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-04T23:30:22Z","cross_cats_sorted":[],"title_canon_sha256":"329b29ea35f763ee874b6f0dd01606cd474a80d6ab867bd47f9a8e22ee80f798","abstract_canon_sha256":"0e26185da258821941c278b2a34eb229ef3e3b79b0d4dae8afa95707ca336f10"},"schema_version":"1.0"},"canonical_sha256":"266d8126fb4aa7802a9c50083e6523de31551061065b75171d1e551eee9dedf7","source":{"kind":"arxiv","id":"1709.01193","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.01193","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"1709.01193v1","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01193","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"EZWYCJX3JKTY","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EZWYCJX3JKTYAKU4","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EZWYCJX3","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:EZWYCJX3JKTYAKU4KAED4ZJD3Y","target":"record","payload":{"canonical_record":{"source":{"id":"1709.01193","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-04T23:30:22Z","cross_cats_sorted":[],"title_canon_sha256":"329b29ea35f763ee874b6f0dd01606cd474a80d6ab867bd47f9a8e22ee80f798","abstract_canon_sha256":"0e26185da258821941c278b2a34eb229ef3e3b79b0d4dae8afa95707ca336f10"},"schema_version":"1.0"},"canonical_sha256":"266d8126fb4aa7802a9c50083e6523de31551061065b75171d1e551eee9dedf7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:00.687794Z","signature_b64":"rft0Lv8f5j4QuXKZ43N/ekRR+HUxMQ8MQyGoGLH+BXQ8otCd/Omu9BYKVY9FkP8nDgjwrcbzadJEqAIVIPUDBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"266d8126fb4aa7802a9c50083e6523de31551061065b75171d1e551eee9dedf7","last_reissued_at":"2026-05-18T00:36:00.687419Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:00.687419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.01193","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":"2026-05-18T00:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cNgtmQNxQWuCIPhWRWqi5l8MYikrQvltfMwXTSmHN1oDjTI7rIxxODc/oyMCBp/AP1pAzazPWCcPFtsMq2qrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T02:51:23.452196Z"},"content_sha256":"fc4edb1a82b4fd07f108fb3152c4b6003a3f3f39944b60a5a317bf56b29c12aa","schema_version":"1.0","event_id":"sha256:fc4edb1a82b4fd07f108fb3152c4b6003a3f3f39944b60a5a317bf56b29c12aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:EZWYCJX3JKTYAKU4KAED4ZJD3Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compositional Approaches for Representing Relations Between Words: A Comparative Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Danushka Bollegala, Huda Hakami","submitted_at":"2017-09-04T23:30:22Z","abstract_excerpt":"Identifying the relations that exist between words (or entities) is important for various natural language processing tasks such as, relational search, noun-modifier classification and analogy detection. A popular approach to represent the relations between a pair of words is to extract the patterns in which the words co-occur with from a corpus, and assign each word-pair a vector of pattern frequencies. Despite the simplicity of this approach, it suffers from data sparseness, information scalability and linguistic creativity as the model is unable to handle previously unseen word pairs in a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01193","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":"2026-05-18T00:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XNtaXc1Ka1gyTq9TPqSNPF/+EWec39F8vGsRCV2uzWqZceF65iyFe33SqYBUyJg4zFYPT6CJL0YdL1e8Bj68DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T02:51:23.452858Z"},"content_sha256":"79fa88d9fb20ef371713eca13effafa152249cde3660ba27eaf1c28c089cbf3b","schema_version":"1.0","event_id":"sha256:79fa88d9fb20ef371713eca13effafa152249cde3660ba27eaf1c28c089cbf3b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y/bundle.json","state_url":"https://pith.science/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y/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":"2026-06-12T02:51:23Z","links":{"resolver":"https://pith.science/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y","bundle":"https://pith.science/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y/bundle.json","state":"https://pith.science/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZWYCJX3JKTYAKU4KAED4ZJD3Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:EZWYCJX3JKTYAKU4KAED4ZJD3Y","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":"0e26185da258821941c278b2a34eb229ef3e3b79b0d4dae8afa95707ca336f10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-04T23:30:22Z","title_canon_sha256":"329b29ea35f763ee874b6f0dd01606cd474a80d6ab867bd47f9a8e22ee80f798"},"schema_version":"1.0","source":{"id":"1709.01193","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.01193","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"1709.01193v1","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01193","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"EZWYCJX3JKTY","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EZWYCJX3JKTYAKU4","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EZWYCJX3","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:79fa88d9fb20ef371713eca13effafa152249cde3660ba27eaf1c28c089cbf3b","target":"graph","created_at":"2026-05-18T00:36:00Z","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":"Identifying the relations that exist between words (or entities) is important for various natural language processing tasks such as, relational search, noun-modifier classification and analogy detection. A popular approach to represent the relations between a pair of words is to extract the patterns in which the words co-occur with from a corpus, and assign each word-pair a vector of pattern frequencies. Despite the simplicity of this approach, it suffers from data sparseness, information scalability and linguistic creativity as the model is unable to handle previously unseen word pairs in a c","authors_text":"Danushka Bollegala, Huda Hakami","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-04T23:30:22Z","title":"Compositional Approaches for Representing Relations Between Words: A Comparative Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01193","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:fc4edb1a82b4fd07f108fb3152c4b6003a3f3f39944b60a5a317bf56b29c12aa","target":"record","created_at":"2026-05-18T00:36:00Z","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":"0e26185da258821941c278b2a34eb229ef3e3b79b0d4dae8afa95707ca336f10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-04T23:30:22Z","title_canon_sha256":"329b29ea35f763ee874b6f0dd01606cd474a80d6ab867bd47f9a8e22ee80f798"},"schema_version":"1.0","source":{"id":"1709.01193","kind":"arxiv","version":1}},"canonical_sha256":"266d8126fb4aa7802a9c50083e6523de31551061065b75171d1e551eee9dedf7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"266d8126fb4aa7802a9c50083e6523de31551061065b75171d1e551eee9dedf7","first_computed_at":"2026-05-18T00:36:00.687419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:00.687419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rft0Lv8f5j4QuXKZ43N/ekRR+HUxMQ8MQyGoGLH+BXQ8otCd/Omu9BYKVY9FkP8nDgjwrcbzadJEqAIVIPUDBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:00.687794Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.01193","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc4edb1a82b4fd07f108fb3152c4b6003a3f3f39944b60a5a317bf56b29c12aa","sha256:79fa88d9fb20ef371713eca13effafa152249cde3660ba27eaf1c28c089cbf3b"],"state_sha256":"cfe1292e9373381d16476093af9b5e2a9de4e50bd84e34e2801296e3750cb96d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QxiRfdZNoAwmE4TxDhSuQZMxCD8+VAdsKOXBAuvAK/oIIcEoyNy/0wzKss34aDyPabjrJDIahn/2Nn3eCbtgDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T02:51:23.456385Z","bundle_sha256":"e965a821125be1d1f1ae8b6cd24b35d95ff0ad025fe8202691417ad14bcd57c2"}}