{"as_of":"2026-08-14T02:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:19e7919212684ad5c8cffe70dbff81e0a11336f90ec2f8127ab3317057a479c2","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:27:16.544585Z","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":"2026-07-04T08:19:44.575679Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-08-07T04:27:16.544585Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10630","last_updated":"2026-06-03T16:47:53Z","snapshot_observed_at":"2026-08-07T04:19:07.939332Z","submitted_at":"2025-06-12T12:15:50Z","title":"Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:16.544585Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2506.10630"},"observation_digest":"sha256:3e2ab724b3bb5ae925975d76b8f9a6108f0ab5e83b0541fff7b12f280d0e6eb3","observation_id":"db0ccf81-7a55-410a-8942-aa1f4f0d4299","resolution":{"observed_at":"2026-08-07T04:27:16.544585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":"2509.24803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-04T08:19:44.575679Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","venue":"cs.LG","work_id":"429b7242-37de-4fc7-8b3f-061148766bdf","year":2025},"citing_paper":{"arxiv_id":"2601.03248","last_updated":"2026-04-22T22:13:36Z","snapshot_observed_at":"2026-07-06T22:40:51.136169Z","submitted_at":"2026-01-06T18:46:12Z","title":"STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T16:41:55.444813Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2601.03248"},"observation_digest":"sha256:7e9e19bbb120efa889361ca4a45051515313eaaa6c70150b4d6a141e1dcdc5c3","observation_id":"a491fcf4-19ab-433c-a623-18a689352569","resolution":{"observed_at":"2026-05-16T16:43:06.697702Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-08-02T21:02:27.335945Z","title":"Timeomni-1: Incentivizing complex reasoning with time series in large language models.arXiv preprint arXiv:2509.24803, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.06638","last_updated":"2026-06-27T22:21:54Z","snapshot_observed_at":"2026-08-12T20:58:26.516509Z","submitted_at":"2026-02-25T05:23:23Z","title":"HEARTS: Benchmarking LLM Reasoning on Health Time Series","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T21:02:27.335945Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2603.06638"},"observation_digest":"sha256:98e62a5fb053dc30ec79145ee0398905ce3c307aaf8ddbc659606af054524a27","observation_id":"2aa48ea5-a2e9-4f38-b1d0-bdb02c0c1d5a","resolution":{"observed_at":"2026-08-02T21:02:27.335945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":"2509.24803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-04T08:19:44.575679Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","venue":"cs.LG","work_id":"429b7242-37de-4fc7-8b3f-061148766bdf","year":2025},"citing_paper":{"arxiv_id":"2604.17295","last_updated":"2026-04-19T07:25:45Z","snapshot_observed_at":"2026-08-13T11:17:40.019130Z","submitted_at":"2026-04-19T07:25:45Z","title":"LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T06:22:14.332932Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2604.17295"},"observation_digest":"sha256:32960532a3f8d3ede14e14d2b634fc49dd475194dc3949d34d9092402a33ad51","observation_id":"16f95313-d3ee-4282-9226-befec5554c56","resolution":{"observed_at":"2026-05-10T06:26:27.658242Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":"2509.24803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-04T08:19:44.575679Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","venue":"cs.LG","work_id":"429b7242-37de-4fc7-8b3f-061148766bdf","year":2025},"citing_paper":{"arxiv_id":"2605.21975","last_updated":"2026-05-21T04:09:16Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T04:09:16Z","title":"Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-22T07:15:45.332957Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2605.21975"},"observation_digest":"sha256:667b1ae57484b08dfdeb123b19d52aee8aa09eb1a33a5a40c65dbf1bde5e427a","observation_id":"534c8989-ad53-4e11-aeb4-aeed7e91edee","resolution":{"observed_at":"2026-05-22T07:16:12.773425Z","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":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":"2509.24803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-04T08:19:44.575679Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","venue":"cs.LG","work_id":"429b7242-37de-4fc7-8b3f-061148766bdf","year":2025},"citing_paper":{"arxiv_id":"2605.30002","last_updated":"2026-05-28T14:32:48Z","snapshot_observed_at":"2026-08-05T15:06:35.202447Z","submitted_at":"2026-05-28T14:32:48Z","title":"KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T07:20:58.414177Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2605.30002"},"observation_digest":"sha256:a28964674f256c8db3f87f9afeaf1200b3d138e7327752815394828145d08fd4","observation_id":"b9eee778-15a4-40f7-bfd6-d7661acfcaca","resolution":{"observed_at":"2026-06-29T07:23:12.668124Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":"2509.24803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-04T08:19:44.575679Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","venue":"cs.LG","work_id":"429b7242-37de-4fc7-8b3f-061148766bdf","year":2025},"citing_paper":{"arxiv_id":"2606.03629","last_updated":"2026-06-02T13:28:17Z","snapshot_observed_at":"2026-08-13T01:10:04.107544Z","submitted_at":"2026-06-02T13:28:17Z","title":"TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-28T09:51:59.586487Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2606.03629"},"observation_digest":"sha256:b7904a52249d38d8dd392c425e87e55f2302a93ed5fee1e8bc2162811c4a4572","observation_id":"b7ef8395-d35d-4199-8c05-42aa982bead7","resolution":{"observed_at":"2026-07-02T03:36:29.887063Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":"2509.24803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-04T08:19:44.575679Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","venue":"cs.LG","work_id":"429b7242-37de-4fc7-8b3f-061148766bdf","year":2025},"citing_paper":{"arxiv_id":"2606.22126","last_updated":"2026-06-20T16:08:44Z","snapshot_observed_at":"2026-08-13T08:48:16.024946Z","submitted_at":"2026-06-20T16:08:44Z","title":"From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T11:49:04.883246Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2606.22126"},"observation_digest":"sha256:44283b112f8409a20a10f2e272f55e5f1f3cddda4c7a12769e877127c866bb57","observation_id":"7bd38b18-3950-4a5d-aae6-4d777886773d","resolution":{"observed_at":"2026-07-04T08:19:44.577175Z","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":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-13T05:38:27.357469Z","title":"Timeomni-1: Incen- tivizing complex reasoning with time series in large language models.arXiv preprint arXiv:2509.24803,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.08940","last_updated":"2026-07-18T17:05:31Z","snapshot_observed_at":"2026-08-07T04:58:42.085463Z","submitted_at":"2026-07-09T21:09:05Z","title":"TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-13T05:38:27.357469Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2607.08940"},"observation_digest":"sha256:b4aa2ae8d7b156c66a21524bda8f86c40478a82766ef98a8791992f68e41efdd","observation_id":"0e2f83ce-634a-4796-bc84-0d09d32842e7","resolution":{"observed_at":"2026-07-13T05:38:27.357469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-08-02T07:51:13.031013Z","title":"Timeomni-1: Incen- tivizing complex reasoning with time series in large language models.arXiv preprint arXiv:2509.24803,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.08940","last_updated":"2026-07-18T17:05:31Z","snapshot_observed_at":"2026-08-07T04:58:42.085463Z","submitted_at":"2026-07-09T21:09:05Z","title":"TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T07:51:13.031013Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2607.08940"},"observation_digest":"sha256:488d980f174f9279f0fbe0acfe11345dd8d24a9e87f106783e52cffc9b8dd2c9","observation_id":"e51b15f6-da45-4615-aae3-555785b151c7","resolution":{"observed_at":"2026-08-02T07:51:13.031013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-07-14T14:52:42.813309Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09880","last_updated":"2026-07-10T18:13:54Z","snapshot_observed_at":"2026-08-13T11:18:24.596823Z","submitted_at":"2026-07-10T18:13:54Z","title":"CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T14:52:42.813309Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2607.09880"},"observation_digest":"sha256:aea7f9c0b2da06461b810b03a981a7bb8b6b02b0da7d3779eb5535da3e1599d1","observation_id":"ca61e676-4503-4428-8161-74359f02939b","resolution":{"observed_at":"2026-07-14T14:52:42.813309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.24803","snapshot_observed_at":"2026-08-01T01:06:47.609258Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25947","last_updated":"2026-07-28T16:33:41Z","snapshot_observed_at":"2026-08-12T14:12:53.777003Z","submitted_at":"2026-07-28T16:33:41Z","title":"A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T01:06:47.609258Z"},"links":{"cited_paper":"/paper/2509.24803","citing_paper":"/paper/2607.25947"},"observation_digest":"sha256:5f8c9984e39aae5479bc6ef9207f4e3510d07ec13492c472edd9f88a56e7e4be","observation_id":"58e7896c-5bcd-4849-983f-306c1d94ff9d","resolution":{"observed_at":"2026-08-01T01:06:47.609258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.24803/citation-record","integrity":"/paper/2509.24803/integrity","json":"/paper/2509.24803/citation-record.json","paper":"/paper/2509.24803"},"outbound":[],"paper":{"arxiv_id":"2509.24803","last_updated":"2026-02-24T10:03:33Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T13:54:34Z","title":"TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models"},"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 12 inbound Pith citation observations for arXiv:2509.24803."}