{"as_of":"2026-08-09T23:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2e0035f5b9cb15ce8bb3fa18bd63ea29f687c74a0beeef83fd5d5adb36c84bb4","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T18:51:12.694813Z","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":"2026-08-06T16:29:13.528404Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.15017","last_updated":"2024-02-22T23:29:42Z","snapshot_observed_at":"2026-08-02T15:10:58.175549Z","submitted_at":"2024-02-22T23:29:42Z","title":"Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15017","snapshot_observed_at":"2026-08-09T18:51:12.694813Z","title":"Towards few-shot adaptation of foundation models via multitask finetuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00500","last_updated":"2025-02-04T15:19:12Z","snapshot_observed_at":"2026-08-09T18:42:02.330645Z","submitted_at":"2025-02-01T17:40:11Z","title":"Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-09T18:51:12.694813Z"},"links":{"cited_paper":"/paper/2402.15017","citing_paper":"/paper/2502.00500"},"observation_digest":"sha256:322652ad4ee6f0b54adffd14047b4b753780589d651f79b7107a0c595ce64027","observation_id":"33f60b34-2448-47ac-9f04-f0f22cc17c7b","resolution":{"observed_at":"2026-08-09T18:51:12.694813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15017","last_updated":"2024-02-22T23:29:42Z","snapshot_observed_at":"2026-08-02T15:10:58.175549Z","submitted_at":"2024-02-22T23:29:42Z","title":"Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning","version":1},"cited_work":{"arxiv_id":"2402.15017","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.15017","snapshot_observed_at":"2026-08-06T16:29:13.528404Z","title":"Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning","venue":"cs.LG","work_id":"e6a37cb3-79a6-47ce-aaad-57c445897efe","year":2024},"citing_paper":{"arxiv_id":"2507.14240","last_updated":"2025-09-04T23:06:49Z","snapshot_observed_at":"2026-08-06T17:05:25.092503Z","submitted_at":"2025-07-17T17:34:13Z","title":"HuggingGraph: Understanding the Supply Chain of LLM Ecosystem","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:29:12.450660Z"},"links":{"cited_paper":"/paper/2402.15017","citing_paper":"/paper/2507.14240"},"observation_digest":"sha256:b01a05a1614c146ccc460b9b0853262ca4681a3abad77176b46e5f8568a2d4f3","observation_id":"e158df25-f9ec-4a42-921b-b9bc886e396c","resolution":{"observed_at":"2026-08-06T16:29:13.650488Z","resolver_source":"local_arxiv","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2402.15017/citation-record","integrity":"/paper/2402.15017/integrity","json":"/paper/2402.15017/citation-record.json","paper":"/paper/2402.15017"},"outbound":[],"paper":{"arxiv_id":"2402.15017","last_updated":"2024-02-22T23:29:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T15:10:58.175549Z","submitted_at":"2024-02-22T23:29:42Z","title":"Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning"},"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":"2026-08-09T06:31:02.800959+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 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.15017."}