{"as_of":"2026-08-13T18:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:292e223dc9d07acd40d3f6caa35117ee8c4e9b0f4ae57c02f296148eee12e867","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:45:10.890368Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T14:28:42.533650Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.09989","last_updated":"2024-09-16T04:44:52Z","snapshot_observed_at":"2026-08-12T22:44:22.801491Z","submitted_at":"2024-09-16T04:44:52Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09989","snapshot_observed_at":"2026-08-10T22:45:10.890368Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00874","last_updated":"2025-05-07T18:16:42Z","snapshot_observed_at":"2026-08-13T02:27:36.530577Z","submitted_at":"2025-01-01T15:43:07Z","title":"LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:45:10.890368Z"},"links":{"cited_paper":"/paper/2409.09989","citing_paper":"/paper/2501.00874"},"observation_digest":"sha256:8b381265d659fe0f061992cb3f37727b9d6095aa0bb32a035b6575a1645cd37d","observation_id":"0a8d8a3d-66ca-4ad8-98eb-e0ddf451f6d5","resolution":{"observed_at":"2026-08-10T22:45:10.890368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09989","last_updated":"2024-09-16T04:44:52Z","snapshot_observed_at":"2026-08-12T22:44:22.801491Z","submitted_at":"2024-09-16T04:44:52Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","version":1},"cited_work":{"arxiv_id":"2409.09989","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.09989","snapshot_observed_at":"2026-08-05T14:28:42.533650Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","venue":"cs.CL","work_id":"eb1e399c-d3c1-49f4-ba8c-dfa73be1e97d","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-10T10:34:46.331993Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.599433Z"},"links":{"cited_paper":"/paper/2409.09989","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:6c5634d53dc7d01251523179d62291035fb2d62f7c9c971f63d63550a7d9aa60","observation_id":"aedbed2f-c6d8-44d6-a625-912d074d5525","resolution":{"observed_at":"2026-08-05T14:28:42.574427Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09989","last_updated":"2024-09-16T04:44:52Z","snapshot_observed_at":"2026-08-12T22:44:22.801491Z","submitted_at":"2024-09-16T04:44:52Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09989","snapshot_observed_at":"2026-08-06T21:27:31.453007Z","title":"Chawla, Olaf Wiest, and Xiangliang Zhang","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04588","last_updated":"2026-08-05T08:50:36Z","snapshot_observed_at":"2026-08-11T18:27:58.410915Z","submitted_at":"2026-08-05T08:50:36Z","title":"EASy: Towards Efficient LLM-Based Agentic System","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:27:31.453007Z"},"links":{"cited_paper":"/paper/2409.09989","citing_paper":"/paper/2608.04588"},"observation_digest":"sha256:5ce7f1c90af26b7cdadb4b7832ec42a2192bf1e0706d55affd84cedbb6d0f540","observation_id":"71928815-8ada-41bd-9114-cba395c255b0","resolution":{"observed_at":"2026-08-06T21:27:31.453007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.09989/citation-record","integrity":"/paper/2409.09989/integrity","json":"/paper/2409.09989/citation-record.json","paper":"/paper/2409.09989"},"outbound":[],"paper":{"arxiv_id":"2409.09989","last_updated":"2024-09-16T04:44:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T22:44:22.801491Z","submitted_at":"2024-09-16T04:44:52Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.09989."}