{"as_of":"2026-08-22T23:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9de52fffac3dad3dccb1b0897028fe782f2adae24d677de9c2bb8a68035cf667","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T14:12:14.785572Z","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":"2026-07-03T04:07:36.855269Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.10846","last_updated":"2024-10-01T16:10:21Z","snapshot_observed_at":"2026-08-16T13:13:40.451813Z","submitted_at":"2024-10-01T16:10:21Z","title":"Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models","version":1},"cited_work":{"arxiv_id":"2410.10846","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10846","snapshot_observed_at":"2026-07-03T04:07:36.855269Z","title":"Duo-llm: A framework for studying adaptive computation in large language models,","venue":null,"work_id":"f5ff356f-c036-4b29-86a3-e1540a572d99","year":2024},"citing_paper":{"arxiv_id":"2606.10706","last_updated":"2026-06-09T11:09:58Z","snapshot_observed_at":"2026-08-14T17:32:15.798375Z","submitted_at":"2026-06-09T11:09:58Z","title":"Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey","version":1},"reference_index":105,"source":"pdf_text","source_observed_at":"2026-06-27T14:12:14.785572Z"},"links":{"cited_paper":"/paper/2410.10846","citing_paper":"/paper/2606.10706"},"observation_digest":"sha256:ea417310aea49fb4c2187d35a91b2fd15858b5db9ff052b426dd4fb4dd0921c2","observation_id":"afd90a25-6926-45fc-bfbf-fa653e4a4e09","resolution":{"observed_at":"2026-07-03T04:07:36.856644Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.10846/citation-record","integrity":"/paper/2410.10846/integrity","json":"/paper/2410.10846/citation-record.json","paper":"/paper/2410.10846"},"outbound":[],"paper":{"arxiv_id":"2410.10846","last_updated":"2024-10-01T16:10:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:13:40.451813Z","submitted_at":"2024-10-01T16:10:21Z","title":"Duo-LLM: A Framework for Studying Adaptive Computation in Large 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.10846."}