{"as_of":"2026-08-08T21:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:404557abc4c4e79fe4e51be9a3863a69770530ce8bfb69df07eaba81d82d467a","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":"2026-08-08T06:32:00.761636+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":"2026-08-04T11:23:49.833693Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2409.12294","last_updated":"2024-09-18T20:03:32Z","snapshot_observed_at":"2026-08-03T15:28:20.114859Z","submitted_at":"2024-09-18T20:03:32Z","title":"RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12294","snapshot_observed_at":"2026-08-04T11:23:49.833693Z","title":"Prompt tuning strikes back: Customizing foundation models with low-rank prompt adaptation.Advances in Neural Information Processing Systems, 37:47297–47316, 2024a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.05363","last_updated":"2026-06-04T21:50:20Z","snapshot_observed_at":"2026-08-08T07:44:47.847428Z","submitted_at":"2025-10-06T20:41:43Z","title":"MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T11:23:49.833693Z"},"links":{"cited_paper":"/paper/2409.12294","citing_paper":"/paper/2510.05363"},"observation_digest":"sha256:84cc3abe44094934ca302e226404c67056bd604346dae3ead9610f9e559f4632","observation_id":"6fd47363-cc66-4b35-b608-ae971a5c0632","resolution":{"observed_at":"2026-08-04T11:23:49.833693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.12294/citation-record","integrity":"/paper/2409.12294/integrity","json":"/paper/2409.12294/citation-record.json","paper":"/paper/2409.12294"},"outbound":[],"paper":{"arxiv_id":"2409.12294","last_updated":"2024-09-18T20:03:32Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-03T15:28:20.114859Z","submitted_at":"2024-09-18T20:03:32Z","title":"RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2409.12294."}