{"as_of":"2026-08-12T04:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bae92b820b59d181f81ef9da42937c5712d195238264d549fcfa0b548baf68c9","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":"2026-08-11T06:34:44.6726+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":"2026-08-04T21:06:26.594771Z","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":"2026-08-04T21:06:27.218779Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.12989","last_updated":"2024-03-12T14:47:47Z","snapshot_observed_at":"2026-08-10T01:06:10.182671Z","submitted_at":"2021-12-24T08:17:18Z","title":"Domain-Aware Continual Zero-Shot Learning","version":3},"cited_work":{"arxiv_id":"2112.12989","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.12989","snapshot_observed_at":"2026-08-04T21:06:27.218779Z","title":"Domain-Aware Continual Zero-Shot Learning","venue":"cs.CV","work_id":"4bfa70ad-82ef-4851-9a01-0c31b78598ed","year":2021},"citing_paper":{"arxiv_id":"2509.08233","last_updated":"2025-09-10T02:19:56Z","snapshot_observed_at":"2026-08-06T06:55:03.018292Z","submitted_at":"2025-09-10T02:19:56Z","title":"Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization","version":1},"reference_index":229,"source":"arxiv_source","source_observed_at":"2026-08-04T21:06:26.594771Z"},"links":{"cited_paper":"/paper/2112.12989","citing_paper":"/paper/2509.08233"},"observation_digest":"sha256:3d8ada823452897399fd0d765f2af78527fa723d8942a5d221c58c2b8b7eb54b","observation_id":"d1142f20-8ae5-4cf3-9c5a-5411d24c8614","resolution":{"observed_at":"2026-08-04T21:06:27.222197Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.12989/citation-record","integrity":"/paper/2112.12989/integrity","json":"/paper/2112.12989/citation-record.json","paper":"/paper/2112.12989"},"outbound":[],"paper":{"arxiv_id":"2112.12989","last_updated":"2024-03-12T14:47:47Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T01:06:10.182671Z","submitted_at":"2021-12-24T08:17:18Z","title":"Domain-Aware Continual Zero-Shot Learning"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.12989."}