{"as_of":"2026-08-17T02:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65b5fbb08733cf203ab2f0cdaf48ad67ab49ce7faf4c2cef2213d3c4d6531a86","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":"2026-08-16T06:30:59.297886+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":"2026-08-11T11:59:54.848616Z","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":"2026-05-21T09:39:57.333227Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.12842","last_updated":"2024-09-27T06:25:33Z","snapshot_observed_at":"2026-08-16T14:17:01.229568Z","submitted_at":"2024-02-20T09:10:08Z","title":"PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12842","snapshot_observed_at":"2026-08-11T11:59:54.848616Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15303","last_updated":"2024-12-19T12:24:15Z","snapshot_observed_at":"2026-08-16T17:41:25.076578Z","submitted_at":"2024-12-19T12:24:15Z","title":"Self-Evolution Knowledge Distillation for LLM-based Machine Translation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T11:59:54.848616Z"},"links":{"cited_paper":"/paper/2402.12842","citing_paper":"/paper/2412.15303"},"observation_digest":"sha256:a18aa37b51db6f1358fd01f43242eead64f4666c0e1db5ad50bddb2177b31e93","observation_id":"2cb93f95-bc79-4d1c-9664-071f35184a06","resolution":{"observed_at":"2026-08-11T11:59:54.848616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12842","last_updated":"2024-09-27T06:25:33Z","snapshot_observed_at":"2026-08-16T14:17:01.229568Z","submitted_at":"2024-02-20T09:10:08Z","title":"PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12842","snapshot_observed_at":"2026-08-09T11:34:56.937688Z","title":"Promptkd: Distilling student-friendly knowledge for generative language mod- els via prompt tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.02671","last_updated":"2025-02-04T19:26:28Z","snapshot_observed_at":"2026-08-12T19:27:02.778679Z","submitted_at":"2025-02-04T19:26:28Z","title":"On Teacher Hacking in Language Model Distillation","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:56.937688Z"},"links":{"cited_paper":"/paper/2402.12842","citing_paper":"/paper/2502.02671"},"observation_digest":"sha256:de6f0c81e8e903242654e95272e34b6f76c1e2c6e44c28153c1549c88e655432","observation_id":"5079aeb4-3010-4a7a-b30e-1bacc08cb956","resolution":{"observed_at":"2026-08-09T11:34:56.937688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12842","last_updated":"2024-09-27T06:25:33Z","snapshot_observed_at":"2026-08-16T14:17:01.229568Z","submitted_at":"2024-02-20T09:10:08Z","title":"PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning","version":3},"cited_work":{"arxiv_id":"2402.12842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.12842","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, and Yuqing Yang","venue":null,"work_id":"8dff938e-fd26-4b74-bae0-5deda3d5bb4a","year":2026},"citing_paper":{"arxiv_id":"2604.00626","last_updated":"2026-06-18T17:00:51Z","snapshot_observed_at":"2026-08-15T00:53:33.148301Z","submitted_at":"2026-04-01T08:32:34Z","title":"A Survey of On-Policy Distillation for Large Language Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T23:03:25.985040Z"},"links":{"cited_paper":"/paper/2402.12842","citing_paper":"/paper/2604.00626"},"observation_digest":"sha256:5a64c43a20bae615c666c650efa34c7be61dfcd33396554ef913d026d6bd6c13","observation_id":"2874d939-879e-4c27-a15e-06d26e7a51a5","resolution":{"observed_at":"2026-05-13T23:08:25.276987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12842","last_updated":"2024-09-27T06:25:33Z","snapshot_observed_at":"2026-08-16T14:17:01.229568Z","submitted_at":"2024-02-20T09:10:08Z","title":"PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning","version":3},"cited_work":{"arxiv_id":"2402.12842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.12842","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, and Yuqing Yang","venue":null,"work_id":"8dff938e-fd26-4b74-bae0-5deda3d5bb4a","year":2026},"citing_paper":{"arxiv_id":"2604.00626","last_updated":"2026-06-18T17:00:51Z","snapshot_observed_at":"2026-08-15T00:53:33.148301Z","submitted_at":"2026-04-01T08:32:34Z","title":"A Survey of On-Policy Distillation for Large Language Models","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-21T09:38:56.224611Z"},"links":{"cited_paper":"/paper/2402.12842","citing_paper":"/paper/2604.00626"},"observation_digest":"sha256:89b621bbe5ba35e93be9b5a26e7bbd15a03e4dc8af261e10c59292f72f80d050","observation_id":"d5eee8fe-7fe3-40e5-82e0-a6a643eed891","resolution":{"observed_at":"2026-05-21T09:39:57.334912Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.12842/citation-record","integrity":"/paper/2402.12842/integrity","json":"/paper/2402.12842/citation-record.json","paper":"/paper/2402.12842"},"outbound":[],"paper":{"arxiv_id":"2402.12842","last_updated":"2024-09-27T06:25:33Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:17:01.229568Z","submitted_at":"2024-02-20T09:10:08Z","title":"PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12842."}