{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:H7CQUZHSHETH776XMUGZWKDJ47","short_pith_number":"pith:H7CQUZHS","canonical_record":{"source":{"id":"2012.15784","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-31T18:07:07Z","cross_cats_sorted":[],"title_canon_sha256":"027d02f0925e5cd6e58f555e25ab09cc17f88570d2cd4e7cb39f5361cc8d36bc","abstract_canon_sha256":"1bfc36b788150a767bd16bffbfcf5de99053d42e57883c5765e3edeb0d611259"},"schema_version":"1.0"},"canonical_sha256":"3fc50a64f239267fffd7650d9b2869e7da28369b3656483b962c0227c16a734b","source":{"kind":"arxiv","id":"2012.15784","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.15784","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"arxiv_version","alias_value":"2012.15784v2","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.15784","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"pith_short_12","alias_value":"H7CQUZHSHETH","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"pith_short_16","alias_value":"H7CQUZHSHETH776X","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"pith_short_8","alias_value":"H7CQUZHS","created_at":"2026-07-05T03:15:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:H7CQUZHSHETH776XMUGZWKDJ47","target":"record","payload":{"canonical_record":{"source":{"id":"2012.15784","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-31T18:07:07Z","cross_cats_sorted":[],"title_canon_sha256":"027d02f0925e5cd6e58f555e25ab09cc17f88570d2cd4e7cb39f5361cc8d36bc","abstract_canon_sha256":"1bfc36b788150a767bd16bffbfcf5de99053d42e57883c5765e3edeb0d611259"},"schema_version":"1.0"},"canonical_sha256":"3fc50a64f239267fffd7650d9b2869e7da28369b3656483b962c0227c16a734b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:15:08.629330Z","signature_b64":"YaAYxprpT08JwN+Ow+IJEYE8y6JJdHt8b7RHWtBeegoDMx5wYntMbBegk0NP6sSYb23lAG+FHPWWR/UEwYeRAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fc50a64f239267fffd7650d9b2869e7da28369b3656483b962c0227c16a734b","last_reissued_at":"2026-07-05T03:15:08.628909Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:15:08.628909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.15784","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:15:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"din3QAG+eCR46FX5dW/Xg4+3zOmqs3gnNWbgG9gzyezVO8MohQCfZROJk/MKJUGrgyW9iAKdwmUDcvh+Aw7wAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:55:45.806555Z"},"content_sha256":"927e3e9d4291301c801a0e17858802e8c83364700874f7774804da82fc90f004","schema_version":"1.0","event_id":"sha256:927e3e9d4291301c801a0e17858802e8c83364700874f7774804da82fc90f004"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:H7CQUZHSHETH776XMUGZWKDJ47","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Understanding Politics via Contextualized Discourse Processing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dan Goldwasser, Rajkumar Pujari","submitted_at":"2020-12-31T18:07:07Z","abstract_excerpt":"Politicians often have underlying agendas when reacting to events. Arguments in contexts of various events reflect a fairly consistent set of agendas for a given entity. In spite of recent advances in Pretrained Language Models (PLMs), those text representations are not designed to capture such nuanced patterns. In this paper, we propose a Compositional Reader model consisting of encoder and composer modules, that attempts to capture and leverage such information to generate more effective representations for entities, issues, and events. These representations are contextualized by tweets, pre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.15784","kind":"arxiv","version":2},"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/2012.15784/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":"2026-07-05T03:15:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q8K7Oxf+/BQwXUFXXQphrrG6asgI8tj7sDfsnxa2FnenHreJxV2whJvDqu5tfVKkJPgICYVbrN3ka8bw1yS+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:55:45.806924Z"},"content_sha256":"95416ce0744f5f01431ae642a96b620d164830f4e11a1eb67c22c2f7649b6bf9","schema_version":"1.0","event_id":"sha256:95416ce0744f5f01431ae642a96b620d164830f4e11a1eb67c22c2f7649b6bf9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H7CQUZHSHETH776XMUGZWKDJ47/bundle.json","state_url":"https://pith.science/pith/H7CQUZHSHETH776XMUGZWKDJ47/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H7CQUZHSHETH776XMUGZWKDJ47/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":"2026-08-18T11:55:45Z","links":{"resolver":"https://pith.science/pith/H7CQUZHSHETH776XMUGZWKDJ47","bundle":"https://pith.science/pith/H7CQUZHSHETH776XMUGZWKDJ47/bundle.json","state":"https://pith.science/pith/H7CQUZHSHETH776XMUGZWKDJ47/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H7CQUZHSHETH776XMUGZWKDJ47/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:H7CQUZHSHETH776XMUGZWKDJ47","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":"1bfc36b788150a767bd16bffbfcf5de99053d42e57883c5765e3edeb0d611259","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-31T18:07:07Z","title_canon_sha256":"027d02f0925e5cd6e58f555e25ab09cc17f88570d2cd4e7cb39f5361cc8d36bc"},"schema_version":"1.0","source":{"id":"2012.15784","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.15784","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"arxiv_version","alias_value":"2012.15784v2","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.15784","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"pith_short_12","alias_value":"H7CQUZHSHETH","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"pith_short_16","alias_value":"H7CQUZHSHETH776X","created_at":"2026-07-05T03:15:08Z"},{"alias_kind":"pith_short_8","alias_value":"H7CQUZHS","created_at":"2026-07-05T03:15:08Z"}],"graph_snapshots":[{"event_id":"sha256:95416ce0744f5f01431ae642a96b620d164830f4e11a1eb67c22c2f7649b6bf9","target":"graph","created_at":"2026-07-05T03:15:08Z","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/2012.15784/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Politicians often have underlying agendas when reacting to events. Arguments in contexts of various events reflect a fairly consistent set of agendas for a given entity. In spite of recent advances in Pretrained Language Models (PLMs), those text representations are not designed to capture such nuanced patterns. In this paper, we propose a Compositional Reader model consisting of encoder and composer modules, that attempts to capture and leverage such information to generate more effective representations for entities, issues, and events. These representations are contextualized by tweets, pre","authors_text":"Dan Goldwasser, Rajkumar Pujari","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-31T18:07:07Z","title":"Understanding Politics via Contextualized Discourse Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.15784","kind":"arxiv","version":2},"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":"sha256:927e3e9d4291301c801a0e17858802e8c83364700874f7774804da82fc90f004","target":"record","created_at":"2026-07-05T03:15:08Z","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":"1bfc36b788150a767bd16bffbfcf5de99053d42e57883c5765e3edeb0d611259","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-31T18:07:07Z","title_canon_sha256":"027d02f0925e5cd6e58f555e25ab09cc17f88570d2cd4e7cb39f5361cc8d36bc"},"schema_version":"1.0","source":{"id":"2012.15784","kind":"arxiv","version":2}},"canonical_sha256":"3fc50a64f239267fffd7650d9b2869e7da28369b3656483b962c0227c16a734b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fc50a64f239267fffd7650d9b2869e7da28369b3656483b962c0227c16a734b","first_computed_at":"2026-07-05T03:15:08.628909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:15:08.628909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YaAYxprpT08JwN+Ow+IJEYE8y6JJdHt8b7RHWtBeegoDMx5wYntMbBegk0NP6sSYb23lAG+FHPWWR/UEwYeRAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:15:08.629330Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.15784","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:927e3e9d4291301c801a0e17858802e8c83364700874f7774804da82fc90f004","sha256:95416ce0744f5f01431ae642a96b620d164830f4e11a1eb67c22c2f7649b6bf9"],"state_sha256":"a84257664ca559b725bd8e0cf05cf5ea9293d40db21eb3842eb1d849bcb102a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3MFa2E94518s+UZnyA8a0F1AS4Q7YKXaeILyNvGmjMcCSCpSe+/7J1sXzD7Ip8lF6fLkw9QHp24Rgo8ZckCbBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T11:55:45.809416Z","bundle_sha256":"f4c53833e60c4eba81cef7c3f4c3f20edda38fad9f07f03ffa72ff9f47474fd0"}}