{"as_of":"2026-08-20T19:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a6623a2674c4bc3eb59cd52a9d35706e6b20b0b7c5aae38e45f554698312a423","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":"2026-08-20T06:33:59.587034+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":"2026-08-15T23:13:47.473794Z","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":"2026-06-30T16:44:55.738291Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.16872","last_updated":"2025-04-01T08:56:20Z","snapshot_observed_at":"2026-08-18T17:15:12.954228Z","submitted_at":"2025-03-21T06:12:06Z","title":"Lie Detector: Unified Backdoor Detection via Cross-Examination Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16872","snapshot_observed_at":"2026-08-15T23:13:47.473794Z","title":"Lie detector: Unified backdoor detection via cross-examination framework","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.05279","last_updated":"2025-05-08T14:26:00Z","snapshot_observed_at":"2026-08-18T22:51:03.376725Z","submitted_at":"2025-05-08T14:26:00Z","title":"MTL-UE: Learning to Learn Nothing for Multi-Task Learning","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-15T23:13:47.473794Z"},"links":{"cited_paper":"/paper/2503.16872","citing_paper":"/paper/2505.05279"},"observation_digest":"sha256:2d4ffef5c2b9730f3213899020a5ea601f28e38f4b648245b80906ef0e1a72fb","observation_id":"05620809-b67d-4be2-b8b6-1ed9016aedc4","resolution":{"observed_at":"2026-08-15T23:13:47.473794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16872","last_updated":"2025-04-01T08:56:20Z","snapshot_observed_at":"2026-08-18T17:15:12.954228Z","submitted_at":"2025-03-21T06:12:06Z","title":"Lie Detector: Unified Backdoor Detection via Cross-Examination Framework","version":2},"cited_work":{"arxiv_id":"2503.16872","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16872","snapshot_observed_at":"2026-06-30T16:44:55.738291Z","title":"arXiv preprint arXiv:2503.16872 , year=","venue":null,"work_id":"85b01428-91b0-4ebf-a919-5056e80def93","year":2026},"citing_paper":{"arxiv_id":"2604.04488","last_updated":"2026-04-06T07:27:04Z","snapshot_observed_at":"2026-08-16T22:50:02.447684Z","submitted_at":"2026-04-06T07:27:04Z","title":"A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T20:14:02.553313Z"},"links":{"cited_paper":"/paper/2503.16872","citing_paper":"/paper/2604.04488"},"observation_digest":"sha256:8e6770711e5bb3c6b18b2061c395ee7db24a5b6fdcaad5dd5338ff260a873a3e","observation_id":"5da1835a-9c72-4b2b-bd5f-533cff141100","resolution":{"observed_at":"2026-05-10T22:05:49.273916Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16872","last_updated":"2025-04-01T08:56:20Z","snapshot_observed_at":"2026-08-18T17:15:12.954228Z","submitted_at":"2025-03-21T06:12:06Z","title":"Lie Detector: Unified Backdoor Detection via Cross-Examination Framework","version":2},"cited_work":{"arxiv_id":"2503.16872","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16872","snapshot_observed_at":"2026-06-30T16:44:55.738291Z","title":"arXiv preprint arXiv:2503.16872 , year=","venue":null,"work_id":"85b01428-91b0-4ebf-a919-5056e80def93","year":2026},"citing_paper":{"arxiv_id":"2605.22365","last_updated":"2026-05-25T01:50:16Z","snapshot_observed_at":"2026-08-17T08:20:06.573438Z","submitted_at":"2026-05-21T11:58:46Z","title":"TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting","version":1},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-05-22T05:29:52.758898Z"},"links":{"cited_paper":"/paper/2503.16872","citing_paper":"/paper/2605.22365"},"observation_digest":"sha256:76c6f25569db1e2a8a801da05b15800b953a918bcef8e47a410deacf877934e4","observation_id":"0587c3e2-7e79-4ed5-ac56-dc668cbeefe7","resolution":{"observed_at":"2026-05-22T05:31:07.610560Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16872","last_updated":"2025-04-01T08:56:20Z","snapshot_observed_at":"2026-08-18T17:15:12.954228Z","submitted_at":"2025-03-21T06:12:06Z","title":"Lie Detector: Unified Backdoor Detection via Cross-Examination Framework","version":2},"cited_work":{"arxiv_id":"2503.16872","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16872","snapshot_observed_at":"2026-06-30T16:44:55.738291Z","title":"arXiv preprint arXiv:2503.16872 , year=","venue":null,"work_id":"85b01428-91b0-4ebf-a919-5056e80def93","year":2026},"citing_paper":{"arxiv_id":"2605.22365","last_updated":"2026-05-25T01:50:16Z","snapshot_observed_at":"2026-08-17T08:20:06.573438Z","submitted_at":"2026-05-21T11:58:46Z","title":"TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T16:44:05.053676Z"},"links":{"cited_paper":"/paper/2503.16872","citing_paper":"/paper/2605.22365"},"observation_digest":"sha256:bb1772b32f990abf6f98372ebb5c6587194aaf0946bb0406c9daeb94df7b5e66","observation_id":"6e17cf16-0073-41fa-9576-1f70de5f4b52","resolution":{"observed_at":"2026-06-30T16:44:55.740100Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.16872/citation-record","integrity":"/paper/2503.16872/integrity","json":"/paper/2503.16872/citation-record.json","paper":"/paper/2503.16872"},"outbound":[],"paper":{"arxiv_id":"2503.16872","last_updated":"2025-04-01T08:56:20Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T17:15:12.954228Z","submitted_at":"2025-03-21T06:12:06Z","title":"Lie Detector: Unified Backdoor Detection via Cross-Examination Framework"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.16872."}