{"as_of":"2026-08-14T17:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4dbc3c22183807c165db42cfc1276320212db2006f01ca48cbfc442c5ebe2b9a","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:11:29.872807Z","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":"2026-08-05T12:43:46.957901Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.07280","last_updated":"2024-03-14T01:17:34Z","snapshot_observed_at":"2026-08-13T11:18:46.112524Z","submitted_at":"2023-06-12T17:59:23Z","title":"Controlling Text-to-Image Diffusion by Orthogonal Finetuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07280","snapshot_observed_at":"2026-08-07T15:11:29.872807Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11049","last_updated":"2025-08-14T14:50:40Z","snapshot_observed_at":"2026-08-10T12:35:51.259032Z","submitted_at":"2025-05-21T21:53:19Z","title":"15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:29.872807Z"},"links":{"cited_paper":"/paper/2306.07280","citing_paper":"/paper/2506.11049"},"observation_digest":"sha256:e415709781d1da959fd4ea2f58f92a95ae7308ae961f5a4f114bdd91df07b870","observation_id":"ec5dffbf-b22d-4ac4-a8d9-05827326293d","resolution":{"observed_at":"2026-08-07T15:11:29.872807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07280","last_updated":"2024-03-14T01:17:34Z","snapshot_observed_at":"2026-08-13T11:18:46.112524Z","submitted_at":"2023-06-12T17:59:23Z","title":"Controlling Text-to-Image Diffusion by Orthogonal Finetuning","version":3},"cited_work":{"arxiv_id":"2306.07280","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.07280","snapshot_observed_at":"2026-08-05T12:43:46.957901Z","title":"Controlling Text-to-Image Diffusion by Orthogonal Finetuning","venue":"cs.CV","work_id":"0ae22273-9065-413d-a0ed-c35b3ade00e3","year":2023},"citing_paper":{"arxiv_id":"2509.01314","last_updated":"2025-09-01T09:58:52Z","snapshot_observed_at":"2026-08-10T03:14:21.052478Z","submitted_at":"2025-09-01T09:58:52Z","title":"Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T12:43:44.505619Z"},"links":{"cited_paper":"/paper/2306.07280","citing_paper":"/paper/2509.01314"},"observation_digest":"sha256:c514b9ea8327c8b3259cda6c993829e09d91cd49a22acd4dccf70baf73d2ddf7","observation_id":"efd782bd-55bc-43d8-b390-9b795dd79e5e","resolution":{"observed_at":"2026-08-05T12:43:47.021757Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.07280/citation-record","integrity":"/paper/2306.07280/integrity","json":"/paper/2306.07280/citation-record.json","paper":"/paper/2306.07280"},"outbound":[],"paper":{"arxiv_id":"2306.07280","last_updated":"2024-03-14T01:17:34Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T11:18:46.112524Z","submitted_at":"2023-06-12T17:59:23Z","title":"Controlling Text-to-Image Diffusion by Orthogonal Finetuning"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.07280."}