{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BVKXT3FPQW7XPH4FT5NX76Z64B","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":"9920ef9378c8b6d9dd810d07e93cc448ad6f266703c7c13eed47cd7ce6f31cc9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-02T14:24:25Z","title_canon_sha256":"fa4231aec83bcc7ca999963bcfcd8158c35fc86c51e3ed56ef5d546e4bab75a3"},"schema_version":"1.0","source":{"id":"2509.02363","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02363","created_at":"2026-07-05T12:03:37Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02363v1","created_at":"2026-07-05T12:03:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02363","created_at":"2026-07-05T12:03:37Z"},{"alias_kind":"pith_short_12","alias_value":"BVKXT3FPQW7X","created_at":"2026-07-05T12:03:37Z"},{"alias_kind":"pith_short_16","alias_value":"BVKXT3FPQW7XPH4F","created_at":"2026-07-05T12:03:37Z"},{"alias_kind":"pith_short_8","alias_value":"BVKXT3FP","created_at":"2026-07-05T12:03:37Z"}],"graph_snapshots":[{"event_id":"sha256:2704ec1225f1e86f81142370229eefd90902e86de2dd341485687faa96a984d2","target":"graph","created_at":"2026-07-05T12:03:37Z","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/2509.02363/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a scalable method for constructing a temporal opinion knowledge base with large language models (LLMs) as automated annotators. Despite the demonstrated utility of time-series opinion analysis of text for downstream applications such as forecasting and trend analysis, existing methodologies underexploit this potential due to the absence of temporally grounded fine-grained annotations. Our approach addresses this gap by integrating well-established opinion mining formulations into a declarative LLM annotation pipeline, enabling structured opinion extraction without manual prompt engi","authors_text":"Atul Kr. Ojha, Gaurav Negi, Omnia Zayed, Paul Buitelaar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-02T14:24:25Z","title":"Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02363","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":"sha256:13317ec303f975ea115fa623fe3d5dfa991b19ce70cb1619714ccb6bcc872b44","target":"record","created_at":"2026-07-05T12:03:37Z","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":"9920ef9378c8b6d9dd810d07e93cc448ad6f266703c7c13eed47cd7ce6f31cc9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-02T14:24:25Z","title_canon_sha256":"fa4231aec83bcc7ca999963bcfcd8158c35fc86c51e3ed56ef5d546e4bab75a3"},"schema_version":"1.0","source":{"id":"2509.02363","kind":"arxiv","version":1}},"canonical_sha256":"0d5579ecaf85bf779f859f5b7ffb3ee051bb63bdb879ec22c1912af09d2bcd3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d5579ecaf85bf779f859f5b7ffb3ee051bb63bdb879ec22c1912af09d2bcd3d","first_computed_at":"2026-07-05T12:03:37.104343Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:37.104343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mpmuNAfY0Vt/FrGZNDCDkqROtQVkMN38SLGuUzW8ZwZzWsXtSmlHICM6ZAA/svO93TFxB1iBd2mYzsDzgf9vCA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:37.104856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.02363","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13317ec303f975ea115fa623fe3d5dfa991b19ce70cb1619714ccb6bcc872b44","sha256:2704ec1225f1e86f81142370229eefd90902e86de2dd341485687faa96a984d2"],"state_sha256":"7504762ca3e6031fc8198aac66e426cdb63b50d4110209419c9a3c924aea7a56"}