{"as_of":"2026-08-11T11:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:613a432f54d22819a5597583935942965e6dd481d5611b5af1f63257e71665c2","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:34:12.312879Z","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":"2026-05-25T05:20:25.110915Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04344","last_updated":"2025-02-14T09:51:46Z","snapshot_observed_at":"2026-08-09T13:35:45.821715Z","submitted_at":"2024-06-06T17:59:56Z","title":"Verbalized Machine Learning: Revisiting Machine Learning with Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04344","snapshot_observed_at":"2026-08-10T20:34:12.312879Z","title":"Z.; Bamler, R.; Schölkopf, B.; and Liu, W","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07972","last_updated":"2025-01-14T09:45:10Z","snapshot_observed_at":"2026-08-10T20:27:27.933657Z","submitted_at":"2025-01-14T09:45:10Z","title":"Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T20:34:12.312879Z"},"links":{"cited_paper":"/paper/2406.04344","citing_paper":"/paper/2501.07972"},"observation_digest":"sha256:e5949eda0ab645e6f6862196af260ffcaac9ee27be07755cece675ddf32e3542","observation_id":"24aa0b82-dbdb-4180-acbc-fe1b5b4018c6","resolution":{"observed_at":"2026-08-10T20:34:12.312879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04344","last_updated":"2025-02-14T09:51:46Z","snapshot_observed_at":"2026-08-09T13:35:45.821715Z","submitted_at":"2024-06-06T17:59:56Z","title":"Verbalized Machine Learning: Revisiting Machine Learning with Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04344","snapshot_observed_at":"2026-08-10T15:43:24.613290Z","title":"Verbalized machine learning: Re- visiting machine learning with language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13743","last_updated":"2025-01-23T15:18:22Z","snapshot_observed_at":"2026-08-10T21:03:05.902590Z","submitted_at":"2025-01-23T15:18:22Z","title":"GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T15:43:24.613290Z"},"links":{"cited_paper":"/paper/2406.04344","citing_paper":"/paper/2501.13743"},"observation_digest":"sha256:f5bbc95009264bbd8db497d147a832f9923348178f649e0ba0f52b59f099be02","observation_id":"9144e8c7-b816-4775-84a5-1f56fedb8a0e","resolution":{"observed_at":"2026-08-10T15:43:24.613290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04344","last_updated":"2025-02-14T09:51:46Z","snapshot_observed_at":"2026-08-09T13:35:45.821715Z","submitted_at":"2024-06-06T17:59:56Z","title":"Verbalized Machine Learning: Revisiting Machine Learning with Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04344","snapshot_observed_at":"2026-08-08T21:45:45.470962Z","title":"Verbalized machine learning: Revisiting machine learning with language models.arXiv preprint arXiv:2406.04344, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04728","last_updated":"2025-05-08T13:42:18Z","snapshot_observed_at":"2026-08-09T19:51:35.380244Z","submitted_at":"2025-02-07T07:52:25Z","title":"Generating Symbolic World Models via Test-time Scaling of Large Language Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T21:45:45.470962Z"},"links":{"cited_paper":"/paper/2406.04344","citing_paper":"/paper/2502.04728"},"observation_digest":"sha256:7bbcd97cf914e2776a4d6091ed00379f0a34428e9421ecc19d4bb1b57a6d612e","observation_id":"1045e54b-a72d-44d0-a6ec-35c66fa8dbae","resolution":{"observed_at":"2026-08-08T21:45:45.470962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04344","last_updated":"2025-02-14T09:51:46Z","snapshot_observed_at":"2026-08-09T13:35:45.821715Z","submitted_at":"2024-06-06T17:59:56Z","title":"Verbalized Machine Learning: Revisiting Machine Learning with Language Models","version":3},"cited_work":{"arxiv_id":"2406.04344","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04344","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2406.04344 (2024)","venue":null,"work_id":"6a636730-58d3-4be8-aca0-b8307d2bbefb","year":2024},"citing_paper":{"arxiv_id":"2605.23116","last_updated":"2026-05-22T00:32:46Z","snapshot_observed_at":"2026-07-06T23:33:24.215365Z","submitted_at":"2026-05-22T00:32:46Z","title":"CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-25T05:17:10.587303Z"},"links":{"cited_paper":"/paper/2406.04344","citing_paper":"/paper/2605.23116"},"observation_digest":"sha256:361296b61d35d9dee61912247151ed6dbaf11753c12759cc9f487221bc480ca0","observation_id":"9a5a44ed-00f3-4f90-9f69-c60138bf1188","resolution":{"observed_at":"2026-05-25T05:20:25.113569Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04344/citation-record","integrity":"/paper/2406.04344/integrity","json":"/paper/2406.04344/citation-record.json","paper":"/paper/2406.04344"},"outbound":[],"paper":{"arxiv_id":"2406.04344","last_updated":"2025-02-14T09:51:46Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T13:35:45.821715Z","submitted_at":"2024-06-06T17:59:56Z","title":"Verbalized Machine Learning: Revisiting Machine Learning with 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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04344."}