{"as_of":"2026-08-08T18:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:96d9c31bfe13a3932ea88daf8cac2dd854750556241c0ba1e359e1fd3ee14c70","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:45:47.885550Z","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":"2026-08-07T12:45:50.019871Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.10905","last_updated":"2025-08-06T06:52:07Z","snapshot_observed_at":"2026-08-07T17:05:36.650639Z","submitted_at":"2025-03-13T21:39:38Z","title":"Learning to Inference Adaptively for Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2503.10905","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.10905","snapshot_observed_at":"2026-08-07T12:45:50.019871Z","title":"Learning to Inference Adaptively for Multimodal Large Language Models","venue":"cs.AI","work_id":"fa0dc04f-aecc-4c82-b685-a94cfe9801ad","year":2025},"citing_paper":{"arxiv_id":"2505.23727","last_updated":"2025-05-29T17:55:49Z","snapshot_observed_at":"2026-08-07T21:26:32.919953Z","submitted_at":"2025-05-29T17:55:49Z","title":"PixelThink: Towards Efficient Chain-of-Pixel Reasoning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:47.885550Z"},"links":{"cited_paper":"/paper/2503.10905","citing_paper":"/paper/2505.23727"},"observation_digest":"sha256:573c64ad3c82d3a225f7c54c1efd647e04cdd06cf4264d2013886c16c4eb33c3","observation_id":"fc00c54a-baa8-4102-a00c-f34c8b0ac5ab","resolution":{"observed_at":"2026-08-07T12:45:50.149770Z","resolver_source":"local_arxiv","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/2503.10905/citation-record","integrity":"/paper/2503.10905/integrity","json":"/paper/2503.10905/citation-record.json","paper":"/paper/2503.10905"},"outbound":[],"paper":{"arxiv_id":"2503.10905","last_updated":"2025-08-06T06:52:07Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T17:05:36.650639Z","submitted_at":"2025-03-13T21:39:38Z","title":"Learning to Inference Adaptively for Multimodal 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":"2026-08-08T06:32:00.761636+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 1 inbound Pith citation observation for arXiv:2503.10905."}