{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:IB3RWJ2OPLR5Y5TXAVQRFYYFIP","short_pith_number":"pith:IB3RWJ2O","canonical_record":{"source":{"id":"1710.00284","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-01T03:36:45Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"43fd3227d3be52210d496e531de7a19d416a79304153f4c0f4423f08bd3b047e","abstract_canon_sha256":"e7772cec796dc962ea174dc49846f11636ccc68d1449341112f52847cf857d37"},"schema_version":"1.0"},"canonical_sha256":"40771b274e7ae3dc7677056112e30543e7333476b231ab1cac8a43a2c3ea0eff","source":{"kind":"arxiv","id":"1710.00284","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00284","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00284v1","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00284","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"pith_short_12","alias_value":"IB3RWJ2OPLR5","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IB3RWJ2OPLR5Y5TX","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IB3RWJ2O","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:IB3RWJ2OPLR5Y5TXAVQRFYYFIP","target":"record","payload":{"canonical_record":{"source":{"id":"1710.00284","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-01T03:36:45Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"43fd3227d3be52210d496e531de7a19d416a79304153f4c0f4423f08bd3b047e","abstract_canon_sha256":"e7772cec796dc962ea174dc49846f11636ccc68d1449341112f52847cf857d37"},"schema_version":"1.0"},"canonical_sha256":"40771b274e7ae3dc7677056112e30543e7333476b231ab1cac8a43a2c3ea0eff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:55.301969Z","signature_b64":"Ez53ETRe7h+TQTiNaXMMfrpY/NGuF42LUzt2DbEPc4ndBUBYQ57nB+OOY16bp9X0mDi5AjAmKZ/CHRIILdGrBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40771b274e7ae3dc7677056112e30543e7333476b231ab1cac8a43a2c3ea0eff","last_reissued_at":"2026-05-18T00:33:55.301496Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:55.301496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.00284","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":"2026-05-18T00:33:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9jdHujvaPSbHE7i0EgVrCPGbktbBLEeJo4VGxfv5GKberkvSvWCK+y7lAVh7dFnKsLAnp+p88hSG8Aro9QC9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T15:49:54.597685Z"},"content_sha256":"30258bf94d295212037169e24bbbeb03ee097cedc40472e63ddc9b1a120ffe6e","schema_version":"1.0","event_id":"sha256:30258bf94d295212037169e24bbbeb03ee097cedc40472e63ddc9b1a120ffe6e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:IB3RWJ2OPLR5Y5TXAVQRFYYFIP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.IR","authors_text":"Hao Zhang, Jie Wang, Liqun Shao, Ming Jia","submitted_at":"2017-10-01T03:36:45Z","abstract_excerpt":"Our task is to generate an effective summary for a given document with specific realtime requirements. We use the softplus function to enhance keyword rankings to favor important sentences, based on which we present a number of summarization algorithms using various keyword extraction and topic clustering methods. We show that our algorithms meet the realtime requirements and yield the best ROUGE recall scores on DUC-02 over all previously-known algorithms. We show that our algorithms meet the realtime requirements and yield the best ROUGE recall scores on DUC-02 over all previously-known algo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00284","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":"2026-05-18T00:33:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ehAfZ4MxKe0D9WNqLaYoTwFQ0/kZ2iJvuA2DxzXPr8NJTGYAiArwv/Ci+U/jXO3oRMgfuQ9drVLlTovkDkACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T15:49:54.598031Z"},"content_sha256":"46d046aa6a636dfec32be354f8fa03da8861f32a38e3690f7c50ffc10715b935","schema_version":"1.0","event_id":"sha256:46d046aa6a636dfec32be354f8fa03da8861f32a38e3690f7c50ffc10715b935"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP/bundle.json","state_url":"https://pith.science/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP/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":"2026-06-01T15:49:54Z","links":{"resolver":"https://pith.science/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP","bundle":"https://pith.science/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP/bundle.json","state":"https://pith.science/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IB3RWJ2OPLR5Y5TXAVQRFYYFIP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:IB3RWJ2OPLR5Y5TXAVQRFYYFIP","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":"e7772cec796dc962ea174dc49846f11636ccc68d1449341112f52847cf857d37","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-01T03:36:45Z","title_canon_sha256":"43fd3227d3be52210d496e531de7a19d416a79304153f4c0f4423f08bd3b047e"},"schema_version":"1.0","source":{"id":"1710.00284","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00284","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00284v1","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00284","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"pith_short_12","alias_value":"IB3RWJ2OPLR5","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IB3RWJ2OPLR5Y5TX","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IB3RWJ2O","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:46d046aa6a636dfec32be354f8fa03da8861f32a38e3690f7c50ffc10715b935","target":"graph","created_at":"2026-05-18T00:33:55Z","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":"Our task is to generate an effective summary for a given document with specific realtime requirements. We use the softplus function to enhance keyword rankings to favor important sentences, based on which we present a number of summarization algorithms using various keyword extraction and topic clustering methods. We show that our algorithms meet the realtime requirements and yield the best ROUGE recall scores on DUC-02 over all previously-known algorithms. We show that our algorithms meet the realtime requirements and yield the best ROUGE recall scores on DUC-02 over all previously-known algo","authors_text":"Hao Zhang, Jie Wang, Liqun Shao, Ming Jia","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-01T03:36:45Z","title":"Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00284","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":"sha256:30258bf94d295212037169e24bbbeb03ee097cedc40472e63ddc9b1a120ffe6e","target":"record","created_at":"2026-05-18T00:33:55Z","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":"e7772cec796dc962ea174dc49846f11636ccc68d1449341112f52847cf857d37","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-01T03:36:45Z","title_canon_sha256":"43fd3227d3be52210d496e531de7a19d416a79304153f4c0f4423f08bd3b047e"},"schema_version":"1.0","source":{"id":"1710.00284","kind":"arxiv","version":1}},"canonical_sha256":"40771b274e7ae3dc7677056112e30543e7333476b231ab1cac8a43a2c3ea0eff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40771b274e7ae3dc7677056112e30543e7333476b231ab1cac8a43a2c3ea0eff","first_computed_at":"2026-05-18T00:33:55.301496Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:55.301496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ez53ETRe7h+TQTiNaXMMfrpY/NGuF42LUzt2DbEPc4ndBUBYQ57nB+OOY16bp9X0mDi5AjAmKZ/CHRIILdGrBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:55.301969Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.00284","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30258bf94d295212037169e24bbbeb03ee097cedc40472e63ddc9b1a120ffe6e","sha256:46d046aa6a636dfec32be354f8fa03da8861f32a38e3690f7c50ffc10715b935"],"state_sha256":"8b5a15b5e4fa3d44656373546eec9a8abef88c130aa3eaa9aff1eab965a1bab0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VZnjZIO9Y/pMfsiQ/khP6ug/m8DjBwmzSAfNr2IXs5lAFn4MmI7SmxOvJQuoLXvjRL473StYiIejP7GMgB+oDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T15:49:54.600036Z","bundle_sha256":"0f20a7ead358dd447a9b7cc2f0acc71d433db89f0a63d825621800ad5d77cd3e"}}