{"as_of":"2026-08-09T18:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e62e9bc6202669eb92d22ec1c18fd41d634d30672df31769a41ce67a4d160eb5","coverage":[{"denominator":6,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:25:36.767489Z","state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.00653/citation-record","integrity":"/paper/2509.00653/integrity","json":"/paper/2509.00653/citation-record.json","paper":"/paper/2509.00653"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.15796","last_updated":"2024-05-01T16:30:43Z","snapshot_observed_at":"2026-08-09T01:23:31.714737Z","submitted_at":"2023-12-25T19:30:06Z","title":"GenCast: Diffusion-based ensemble forecasting for medium-range weather","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15796","snapshot_observed_at":"2026-08-05T13:25:36.747232Z","title":"Met- mamba: Regional weather forecasting with spatial-temporal mamba model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:36.747232Z"},"links":{"cited_paper":"/paper/2312.15796","citing_paper":"/paper/2509.00653"},"observation_digest":"sha256:b2a7b44f2ffecb6e908087b62d91cf7810f945ed09a5af3c7fc2703b74fb9e70","observation_id":"b22e5e28-5ebf-4b1c-8d6d-e8f819ef7e95","resolution":{"observed_at":"2026-08-05T13:25:36.747232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:25:36.876551Z","title":"IMDAA is available under the CC BY-NC-SA 4.0 license (https: //rds.ncmrwf.gov.in/privacy)","venue":null,"work_id":"5e16737b-66eb-4930-a917-268a68c7ce73","year":null},"citing_paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:36.751976Z"},"links":{"citing_paper":"/paper/2509.00653"},"observation_digest":"sha256:7c362352c52d1567ea0a468ca8838fd269ee19d13e5ad3335f748b2841995f88","observation_id":"f3bce631-3411-4299-b365-ff1eb3681ed3","resolution":{"observed_at":"2026-08-05T13:25:36.880981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:25:36.862741Z","title":null,"venue":null,"work_id":"c0a78554-47d6-4bbb-b073-6523a1c472cd","year":null},"citing_paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:36.756519Z"},"links":{"citing_paper":"/paper/2509.00653"},"observation_digest":"sha256:9791445e3b14175a5ee57724241fb1dc7970106a1c5a4ae75418e1dfa81858d7","observation_id":"c5cd0008-8038-4aaa-bb49-cbbf78db324b","resolution":{"observed_at":"2026-08-05T13:25:36.866823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:25:36.847129Z","title":"Baseline architecture details For reproducibility and fair comparisons across architectures, we kept the parameter count of each architecture from 30 to 35 million","venue":null,"work_id":"30ce8f33-98d7-44c3-8f78-d7cd8b7d0c66","year":null},"citing_paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:36.761182Z"},"links":{"citing_paper":"/paper/2509.00653"},"observation_digest":"sha256:7c271f602c8eb2c5ba042610beeb0a4a6662c712d626f300cfc13fec5b1dfe05","observation_id":"5a470a6b-f369-4584-98ed-b4f44b7744db","resolution":{"observed_at":"2026-08-05T13:25:36.852429Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:25:36.831081Z","title":null,"venue":null,"work_id":"81204c3e-bfd5-4a0b-9e10-83936503d867","year":2017},"citing_paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:36.767489Z"},"links":{"citing_paper":"/paper/2509.00653"},"observation_digest":"sha256:3e47a25687a654912c3ef500b6905f632d5884a97338e29f6969b7f03b16c9fd","observation_id":"4c2ab7a2-3dc2-4950-8ef7-6fd33d408287","resolution":{"observed_at":"2026-08-05T13:25:36.836512Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.10399","last_updated":"2024-01-16T18:59:12Z","snapshot_observed_at":"2026-07-06T11:50:02.303787Z","submitted_at":"2021-09-21T18:42:10Z","title":"SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.10399","snapshot_observed_at":"2026-08-05T13:25:36.741449Z","title":"AROME- MetCoOp: A Nordic convective-scale operational weather prediction model","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:36.741449Z"},"links":{"cited_paper":"/paper/2109.10399","citing_paper":"/paper/2509.00653"},"observation_digest":"sha256:4594c1405bf3154049dd147973b4f5c49ea81dc8fad822f63a05c764db47a2c2","observation_id":"0b466af9-faed-4039-af34-f34c7b805e9c","resolution":{"observed_at":"2026-08-05T13:25:36.741449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.00653","last_updated":"2025-08-31T01:25:49Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T14:29:24.702626Z","submitted_at":"2025-08-31T01:25:49Z","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India"},"reference_resolution":{"displayed":6,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":6},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2509.00653."}