{"as_of":"2026-08-13T23:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a6bfb2a9ffcb19c40e4eeb26570ac0120eb6e82603947601aee5b11aac051a66","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:12:10.461154Z","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":"2026-08-07T12:12:15.029208Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.01245","last_updated":"2023-09-03T19:10:18Z","snapshot_observed_at":"2026-08-13T10:21:49.979243Z","submitted_at":"2023-09-03T19:10:18Z","title":"Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition","version":1},"cited_work":{"arxiv_id":"2309.01245","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.01245","snapshot_observed_at":"2026-08-07T12:12:15.029208Z","title":"Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition","venue":"cs.CL","work_id":"6ad60c41-8a43-4e03-955c-64f1cc31a2cd","year":2023},"citing_paper":{"arxiv_id":"2608.06223","last_updated":"2026-08-06T16:12:57Z","snapshot_observed_at":"2026-08-13T20:03:43.657213Z","submitted_at":"2026-08-06T16:12:57Z","title":"TS-RAG: Retrieval Augmented Generation for Time Series Forecasting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:12:10.461154Z"},"links":{"cited_paper":"/paper/2309.01245","citing_paper":"/paper/2608.06223"},"observation_digest":"sha256:e1f78754a90d8f518fac9f596ac8a6ea897edd6f331244a91533f6721626099a","observation_id":"79e044a8-cc3c-48ef-9d38-f54098c17d89","resolution":{"observed_at":"2026-08-07T12:12:15.109132Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2309.01245/citation-record","integrity":"/paper/2309.01245/integrity","json":"/paper/2309.01245/citation-record.json","paper":"/paper/2309.01245"},"outbound":[],"paper":{"arxiv_id":"2309.01245","last_updated":"2023-09-03T19:10:18Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T10:21:49.979243Z","submitted_at":"2023-09-03T19:10:18Z","title":"Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition"},"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 1 inbound Pith citation observation for arXiv:2309.01245."}