{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:55VALLB7TWSTUMSY4SXJWJ2OG6","short_pith_number":"pith:55VALLB7","canonical_record":{"source":{"id":"1804.05918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-16T20:01:06Z","cross_cats_sorted":[],"title_canon_sha256":"fc762d8350b830896386964da9e3c49b310c200a5d3e9d26857a8b354ffcc507","abstract_canon_sha256":"201661344202642791a014341917c8e9edbc83acb456b7ff9016e114412d0ae5"},"schema_version":"1.0"},"canonical_sha256":"ef6a05ac3f9da53a3258e4ae9b274e37beadbd0d0e2c73e84fc41506f10dcff7","source":{"kind":"arxiv","id":"1804.05918","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.05918","created_at":"2026-05-18T00:18:22Z"},{"alias_kind":"arxiv_version","alias_value":"1804.05918v1","created_at":"2026-05-18T00:18:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.05918","created_at":"2026-05-18T00:18:22Z"},{"alias_kind":"pith_short_12","alias_value":"55VALLB7TWST","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"55VALLB7TWSTUMSY","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"55VALLB7","created_at":"2026-05-18T12:32:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:55VALLB7TWSTUMSY4SXJWJ2OG6","target":"record","payload":{"canonical_record":{"source":{"id":"1804.05918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-16T20:01:06Z","cross_cats_sorted":[],"title_canon_sha256":"fc762d8350b830896386964da9e3c49b310c200a5d3e9d26857a8b354ffcc507","abstract_canon_sha256":"201661344202642791a014341917c8e9edbc83acb456b7ff9016e114412d0ae5"},"schema_version":"1.0"},"canonical_sha256":"ef6a05ac3f9da53a3258e4ae9b274e37beadbd0d0e2c73e84fc41506f10dcff7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:22.386081Z","signature_b64":"ERkKpy9JivfdB8G7o9c5rR0kYiJdM/EmvplXq05KeA45A7cw+tZNqC/0kVe2U6Gp38S2QZ1Ph/tcHK+Ve9dPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef6a05ac3f9da53a3258e4ae9b274e37beadbd0d0e2c73e84fc41506f10dcff7","last_reissued_at":"2026-05-18T00:18:22.385385Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:22.385385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.05918","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":"2026-05-18T00:18:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7GGe2RFHkJIgRajhGzNJiTgID0vGGg/35PRy6b32aNaOdMw/dW8mFeJg5MqrFj32d139ifnwVjuteJha4VB7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T19:38:37.867481Z"},"content_sha256":"d9d9c6d5a88928173769334c38edba4a70a35bf058008a00e2c221487adab471","schema_version":"1.0","event_id":"sha256:d9d9c6d5a88928173769334c38edba4a70a35bf058008a00e2c221487adab471"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:55VALLB7TWSTUMSY4SXJWJ2OG6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ruihong Huang, Zeyu Dai","submitted_at":"2018-04-16T20:01:06Z","abstract_excerpt":"We argue that semantic meanings of a sentence or clause can not be interpreted independently from the rest of a paragraph, or independently from all discourse relations and the overall paragraph-level discourse structure. With the goal of improving implicit discourse relation classification, we introduce a paragraph-level neural networks that model inter-dependencies between discourse units as well as discourse relation continuity and patterns, and predict a sequence of discourse relations in a paragraph. Experimental results show that our model outperforms the previous state-of-the-art system"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.05918","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":"2026-05-18T00:18:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Aog9wBPEp+xr/5H1er948jYgqDuh28u0oeWKn5r8jJztMsxYiVycaABlSnuVty/kXG8IJgXJ9cqggiGrPTSAAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T19:38:37.867836Z"},"content_sha256":"8584fd65956ee3b1060c983472def6fd2a57be1102f635e659a99b21db90dcd2","schema_version":"1.0","event_id":"sha256:8584fd65956ee3b1060c983472def6fd2a57be1102f635e659a99b21db90dcd2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/55VALLB7TWSTUMSY4SXJWJ2OG6/bundle.json","state_url":"https://pith.science/pith/55VALLB7TWSTUMSY4SXJWJ2OG6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/55VALLB7TWSTUMSY4SXJWJ2OG6/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":"2026-07-02T19:38:37Z","links":{"resolver":"https://pith.science/pith/55VALLB7TWSTUMSY4SXJWJ2OG6","bundle":"https://pith.science/pith/55VALLB7TWSTUMSY4SXJWJ2OG6/bundle.json","state":"https://pith.science/pith/55VALLB7TWSTUMSY4SXJWJ2OG6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/55VALLB7TWSTUMSY4SXJWJ2OG6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:55VALLB7TWSTUMSY4SXJWJ2OG6","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":"201661344202642791a014341917c8e9edbc83acb456b7ff9016e114412d0ae5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-16T20:01:06Z","title_canon_sha256":"fc762d8350b830896386964da9e3c49b310c200a5d3e9d26857a8b354ffcc507"},"schema_version":"1.0","source":{"id":"1804.05918","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.05918","created_at":"2026-05-18T00:18:22Z"},{"alias_kind":"arxiv_version","alias_value":"1804.05918v1","created_at":"2026-05-18T00:18:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.05918","created_at":"2026-05-18T00:18:22Z"},{"alias_kind":"pith_short_12","alias_value":"55VALLB7TWST","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"55VALLB7TWSTUMSY","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"55VALLB7","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:8584fd65956ee3b1060c983472def6fd2a57be1102f635e659a99b21db90dcd2","target":"graph","created_at":"2026-05-18T00:18:22Z","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":"We argue that semantic meanings of a sentence or clause can not be interpreted independently from the rest of a paragraph, or independently from all discourse relations and the overall paragraph-level discourse structure. With the goal of improving implicit discourse relation classification, we introduce a paragraph-level neural networks that model inter-dependencies between discourse units as well as discourse relation continuity and patterns, and predict a sequence of discourse relations in a paragraph. Experimental results show that our model outperforms the previous state-of-the-art system","authors_text":"Ruihong Huang, Zeyu Dai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-16T20:01:06Z","title":"Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.05918","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:d9d9c6d5a88928173769334c38edba4a70a35bf058008a00e2c221487adab471","target":"record","created_at":"2026-05-18T00:18:22Z","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":"201661344202642791a014341917c8e9edbc83acb456b7ff9016e114412d0ae5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-16T20:01:06Z","title_canon_sha256":"fc762d8350b830896386964da9e3c49b310c200a5d3e9d26857a8b354ffcc507"},"schema_version":"1.0","source":{"id":"1804.05918","kind":"arxiv","version":1}},"canonical_sha256":"ef6a05ac3f9da53a3258e4ae9b274e37beadbd0d0e2c73e84fc41506f10dcff7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef6a05ac3f9da53a3258e4ae9b274e37beadbd0d0e2c73e84fc41506f10dcff7","first_computed_at":"2026-05-18T00:18:22.385385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:22.385385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ERkKpy9JivfdB8G7o9c5rR0kYiJdM/EmvplXq05KeA45A7cw+tZNqC/0kVe2U6Gp38S2QZ1Ph/tcHK+Ve9dPDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:22.386081Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.05918","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9d9c6d5a88928173769334c38edba4a70a35bf058008a00e2c221487adab471","sha256:8584fd65956ee3b1060c983472def6fd2a57be1102f635e659a99b21db90dcd2"],"state_sha256":"01eedeb45bfa9e1b76e27a167fbb2f395eb67bfc855caac56860811e95d9ff3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sHFKxQ3s+DxEP8ngrNHak1B16rSZkUU+z32pbF0hTDfJa2uXCURYuqGre1t9JYxB2wJLeC90nGxm4GJ30NaYCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T19:38:37.869777Z","bundle_sha256":"466d6b51fb455582541af0f98f386bafab201fb9ee1e459bfdf6eff25b10b678"}}