{"as_of":"2026-08-08T12:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f4165801ed802a8f86d3a21f9e6ff6cb734b6d12da2db9928f41c67c3c805f0b","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T15:03:05.031793Z","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":"2026-06-30T13:44:40.639824Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.15133","last_updated":"2024-08-27T15:13:06Z","snapshot_observed_at":"2026-07-06T19:06:37.442341Z","submitted_at":"2024-08-27T15:13:06Z","title":"Using LLMs for Explaining Sets of Counterfactual Examples to Final Users","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.15133","snapshot_observed_at":"2026-08-07T15:03:05.031793Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20312","last_updated":"2025-05-22T10:33:42Z","snapshot_observed_at":"2026-08-07T14:57:34.784640Z","submitted_at":"2025-05-22T10:33:42Z","title":"Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:03:05.031793Z"},"links":{"cited_paper":"/paper/2408.15133","citing_paper":"/paper/2505.20312"},"observation_digest":"sha256:e5487bbeefdc6102813af7da97fbb9d136fd98774957077dc2e83467c98a86d1","observation_id":"e11bbf4e-ed03-4852-96e7-d62d26d885ae","resolution":{"observed_at":"2026-08-07T15:03:05.031793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.15133","last_updated":"2024-08-27T15:13:06Z","snapshot_observed_at":"2026-07-06T19:06:37.442341Z","submitted_at":"2024-08-27T15:13:06Z","title":"Using LLMs for Explaining Sets of Counterfactual Examples to Final Users","version":1},"cited_work":{"arxiv_id":"2408.15133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.15133","snapshot_observed_at":"2026-06-30T13:44:40.639824Z","title":null,"venue":null,"work_id":"507ae5ba-036a-48b9-8e0b-403d93d865a8","year":2024},"citing_paper":{"arxiv_id":"2605.24384","last_updated":"2026-05-28T23:41:28Z","snapshot_observed_at":"2026-08-02T00:40:01.247503Z","submitted_at":"2026-05-23T03:51:44Z","title":"Side-by-side Comparison Amplifies Dialect Bias in Language Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T13:41:59.127845Z"},"links":{"cited_paper":"/paper/2408.15133","citing_paper":"/paper/2605.24384"},"observation_digest":"sha256:5b0e0088325785d102530067d8512a775e632a19e662988937dbddb40a98b119","observation_id":"415ee06b-1e03-46ad-832e-2f63c4885f5a","resolution":{"observed_at":"2026-06-30T13:44:40.641324Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.15133/citation-record","integrity":"/paper/2408.15133/integrity","json":"/paper/2408.15133/citation-record.json","paper":"/paper/2408.15133"},"outbound":[],"paper":{"arxiv_id":"2408.15133","last_updated":"2024-08-27T15:13:06Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:06:37.442341Z","submitted_at":"2024-08-27T15:13:06Z","title":"Using LLMs for Explaining Sets of Counterfactual Examples to Final Users"},"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 2 inbound Pith citation observations for arXiv:2408.15133."}