{"as_of":"2026-08-15T09:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cb1c286c88c42eca712148a41ea5209420714b0841680cc3ae421adb78823f71","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":"2026-08-15T06:32:42.880941+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":"2026-08-14T04:28:26.657390Z","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":"2026-05-11T21:56:13.926398Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.16637","last_updated":"2024-04-25T14:24:41Z","snapshot_observed_at":"2026-08-13T21:25:19.764387Z","submitted_at":"2024-04-25T14:24:41Z","title":"Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16637","snapshot_observed_at":"2026-08-06T13:22:46.867030Z","title":"arXiv preprint arXiv:2404.16637 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20749","last_updated":"2025-07-28T11:57:52Z","snapshot_observed_at":"2026-08-08T16:13:24.324121Z","submitted_at":"2025-07-28T11:57:52Z","title":"Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T13:22:46.867030Z"},"links":{"cited_paper":"/paper/2404.16637","citing_paper":"/paper/2507.20749"},"observation_digest":"sha256:a48817c220bb6fb42e4bbd45203cbaf04573e7e3489134c4dd233dfc41b3be4c","observation_id":"80e2e3bf-68dc-4bd1-90e9-bdb2235a8f95","resolution":{"observed_at":"2026-08-06T13:22:46.867030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16637","last_updated":"2024-04-25T14:24:41Z","snapshot_observed_at":"2026-08-13T21:25:19.764387Z","submitted_at":"2024-04-25T14:24:41Z","title":"Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data","version":1},"cited_work":{"arxiv_id":"2404.16637","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.16637","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.16637 (2024)","venue":null,"work_id":"34793050-223c-4d89-8a47-d0be478d4251","year":2024},"citing_paper":{"arxiv_id":"2604.24380","last_updated":"2026-04-27T12:10:44Z","snapshot_observed_at":"2026-08-13T04:56:42.133140Z","submitted_at":"2026-04-27T12:10:44Z","title":"Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-08T03:47:38.100037Z"},"links":{"cited_paper":"/paper/2404.16637","citing_paper":"/paper/2604.24380"},"observation_digest":"sha256:976dadbd411d4cdf5e366e8a0eeb2530e42e05b3fa559439b2d67a81f3450889","observation_id":"297e863c-0ad8-476b-a262-bf9b2b5ac3ac","resolution":{"observed_at":"2026-05-11T21:56:13.956000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16637","last_updated":"2024-04-25T14:24:41Z","snapshot_observed_at":"2026-08-13T21:25:19.764387Z","submitted_at":"2024-04-25T14:24:41Z","title":"Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16637","snapshot_observed_at":"2026-08-14T04:28:26.657390Z","title":"Zero-shot distillation for image encoders: how to make effective use of synthetic data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08815","last_updated":"2026-08-09T17:05:00Z","snapshot_observed_at":"2026-08-14T04:21:04.595493Z","submitted_at":"2026-08-09T17:05:00Z","title":"Distilling Vision-Language Models for Robust Traffic Sign Perception in Autonomous Vehicles","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:28:26.657390Z"},"links":{"cited_paper":"/paper/2404.16637","citing_paper":"/paper/2608.08815"},"observation_digest":"sha256:acc9342f4e5ba8b582f81af09df524bf6389df349810347a61588fe0e6054bd0","observation_id":"d84fd718-3aff-44ff-9459-8f1aab23113a","resolution":{"observed_at":"2026-08-14T04:28:26.657390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.16637/citation-record","integrity":"/paper/2404.16637/integrity","json":"/paper/2404.16637/citation-record.json","paper":"/paper/2404.16637"},"outbound":[],"paper":{"arxiv_id":"2404.16637","last_updated":"2024-04-25T14:24:41Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T21:25:19.764387Z","submitted_at":"2024-04-25T14:24:41Z","title":"Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.16637."}