{"as_of":"2026-08-06T07:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3c3ac7a5e23f45785ad2afefb15bdb5b3e368397d9e3e802559dd59f8ea22f45","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T07:01:56.628017Z","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":"2026-07-07T12:33:45.141022Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.02832","last_updated":"2025-07-23T04:59:45Z","snapshot_observed_at":"2026-07-06T20:46:41.601428Z","submitted_at":"2025-03-04T17:57:09Z","title":"AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation","version":3},"cited_work":{"arxiv_id":"2503.02832","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.02832","snapshot_observed_at":"2026-07-07T12:33:45.141022Z","title":"Aligndistil: Token-level language model alignment as adaptive policy distillation","venue":"cs.CL","work_id":"7feb994f-3aa0-4546-acb8-108c2fc4ade3","year":2025},"citing_paper":{"arxiv_id":"2605.09924","last_updated":"2026-05-11T03:21:24Z","snapshot_observed_at":"2026-07-06T23:21:59.096464Z","submitted_at":"2026-05-11T03:21:24Z","title":"Evolving Knowledge Distillation for Lightweight Neural Machine Translation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-12T04:48:53.586742Z"},"links":{"cited_paper":"/paper/2503.02832","citing_paper":"/paper/2605.09924"},"observation_digest":"sha256:40626a62a275d5af6ea876d11790b4302a400a18a67ab0d9565f481794645389","observation_id":"eff492cf-dfc0-4f0c-bd8c-78c93e0f1589","resolution":{"observed_at":"2026-05-12T05:56:24.364394Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02832","last_updated":"2025-07-23T04:59:45Z","snapshot_observed_at":"2026-07-06T20:46:41.601428Z","submitted_at":"2025-03-04T17:57:09Z","title":"AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation","version":3},"cited_work":{"arxiv_id":"2503.02832","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.02832","snapshot_observed_at":"2026-07-07T12:33:45.141022Z","title":"Aligndistil: Token-level language model alignment as adaptive policy distillation","venue":"cs.CL","work_id":"7feb994f-3aa0-4546-acb8-108c2fc4ade3","year":2025},"citing_paper":{"arxiv_id":"2607.05394","last_updated":"2026-07-08T17:57:18Z","snapshot_observed_at":"2026-08-02T11:12:50.300654Z","submitted_at":"2026-07-06T17:59:58Z","title":"Weak-to-Strong Generalization via Direct On-Policy Distillation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-07T12:31:42.224094Z"},"links":{"cited_paper":"/paper/2503.02832","citing_paper":"/paper/2607.05394"},"observation_digest":"sha256:0a430fbe6b441d7c354bb5260838e1c70d2bbe0e5526ea55668db87dd0c583cb","observation_id":"a444c85e-e6f8-4412-b384-5b82a1d192b7","resolution":{"observed_at":"2026-07-07T12:33:45.142618Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02832","last_updated":"2025-07-23T04:59:45Z","snapshot_observed_at":"2026-07-06T20:46:41.601428Z","submitted_at":"2025-03-04T17:57:09Z","title":"AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02832","snapshot_observed_at":"2026-07-11T07:01:56.628017Z","title":"AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.05394","last_updated":"2026-07-08T17:57:18Z","snapshot_observed_at":"2026-08-02T11:12:50.300654Z","submitted_at":"2026-07-06T17:59:58Z","title":"Weak-to-Strong Generalization via Direct On-Policy Distillation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-11T07:01:56.628017Z"},"links":{"cited_paper":"/paper/2503.02832","citing_paper":"/paper/2607.05394"},"observation_digest":"sha256:f775266013e425be25b94275e32a04d23c80cf84441743405b25045b1460ee2e","observation_id":"dae33936-2343-424a-a54f-d8b6cb275983","resolution":{"observed_at":"2026-07-11T07:01:56.628017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.02832/citation-record","integrity":"/paper/2503.02832/integrity","json":"/paper/2503.02832/citation-record.json","paper":"/paper/2503.02832"},"outbound":[],"paper":{"arxiv_id":"2503.02832","last_updated":"2025-07-23T04:59:45Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T20:46:41.601428Z","submitted_at":"2025-03-04T17:57:09Z","title":"AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.02832."}