{"as_of":"2026-08-14T06:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd52bc13487591bd3ed3b49f7a1c701479abc3274b692734d010f01ec92316bb","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":"2026-08-12T18:53:48.053307Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-19T09:32:15.877033Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.17462","last_updated":"2025-05-19T08:07:54Z","snapshot_observed_at":"2026-08-12T22:17:09.644746Z","submitted_at":"2024-10-22T22:43:14Z","title":"Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17462","snapshot_observed_at":"2026-08-12T18:53:48.053307Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.11197","last_updated":"2025-05-24T18:43:17Z","snapshot_observed_at":"2026-08-12T18:46:19.323343Z","submitted_at":"2024-11-17T23:15:36Z","title":"Stealing Training Graphs from Graph Neural Networks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T18:53:48.053307Z"},"links":{"cited_paper":"/paper/2410.17462","citing_paper":"/paper/2411.11197"},"observation_digest":"sha256:1e15cff69a3231f1798c791e2d3ddb5dc5e23a933d91fe3ec52ab408d53ce6da","observation_id":"afa7d3a5-e10e-4875-8926-a52f1eb9d927","resolution":{"observed_at":"2026-08-12T18:53:48.053307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17462","last_updated":"2025-05-19T08:07:54Z","snapshot_observed_at":"2026-08-12T22:17:09.644746Z","submitted_at":"2024-10-22T22:43:14Z","title":"Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation","version":3},"cited_work":{"arxiv_id":"2410.17462","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.17462","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"eacbe9af-71ad-4513-b044-c78d5d15a20f","year":2025},"citing_paper":{"arxiv_id":"2506.11512","last_updated":"2026-05-08T13:38:42Z","snapshot_observed_at":"2026-08-13T16:39:18.040326Z","submitted_at":"2025-06-13T07:13:05Z","title":"From Time Series Analysis to Question Answering: A Survey in the LLM Era","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-19T09:31:55.829045Z"},"links":{"cited_paper":"/paper/2410.17462","citing_paper":"/paper/2506.11512"},"observation_digest":"sha256:68d8f3d182feaeb887849939ba0d2dda28061a9bba25cf158bdc643ff8f86a87","observation_id":"6a355476-6e38-41e6-85af-e02862cd06d4","resolution":{"observed_at":"2026-05-19T09:32:15.880588Z","resolver_source":"arxiv_id","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":"2410.17462","last_updated":"2025-05-19T08:07:54Z","snapshot_observed_at":"2026-08-12T22:17:09.644746Z","submitted_at":"2024-10-22T22:43:14Z","title":"Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17462","snapshot_observed_at":"2026-08-04T16:49:31.137766Z","title":"Decoding time series with llms: A multi-agent framework for cross-domain annotation, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.11575","last_updated":"2026-06-10T07:42:17Z","snapshot_observed_at":"2026-08-06T03:43:03.418957Z","submitted_at":"2025-09-15T04:39:50Z","title":"A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models","version":3},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-04T16:49:31.137766Z"},"links":{"cited_paper":"/paper/2410.17462","citing_paper":"/paper/2509.11575"},"observation_digest":"sha256:3f7204bd47e295b69c2ca3532dd0fee18e17e4e8ba6c6fddb5ec89fc2ef88b2d","observation_id":"63310f71-ee71-4991-a6e9-17bc552b9ad4","resolution":{"observed_at":"2026-08-04T16:49:31.137766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.17462/citation-record","integrity":"/paper/2410.17462/integrity","json":"/paper/2410.17462/citation-record.json","paper":"/paper/2410.17462"},"outbound":[],"paper":{"arxiv_id":"2410.17462","last_updated":"2025-05-19T08:07:54Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T22:17:09.644746Z","submitted_at":"2024-10-22T22:43:14Z","title":"Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation"},"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 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.17462."}