{"as_of":"2026-08-08T07:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c83049a854955ff0e687e4b6089e79c9fb166a435f2a84422de4e71fde158d15","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:24:43.213266Z","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":"2026-05-10T23:35:51.280947Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.20197","last_updated":"2024-09-30T11:16:56Z","snapshot_observed_at":"2026-07-06T19:24:30.632401Z","submitted_at":"2024-09-30T11:16:56Z","title":"UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.20197","snapshot_observed_at":"2026-08-06T17:24:43.213266Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11085","last_updated":"2025-07-15T08:27:29Z","snapshot_observed_at":"2026-08-07T11:00:57.958058Z","submitted_at":"2025-07-15T08:27:29Z","title":"Atmos-Bench: 3D Atmospheric Structures for Climate Insight","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T17:24:43.213266Z"},"links":{"cited_paper":"/paper/2409.20197","citing_paper":"/paper/2507.11085"},"observation_digest":"sha256:1c8b3746a0509ccea03a5dbef394be661a0cf4bf54baa668a71106c77306e3bd","observation_id":"cd00275a-ea69-44e9-8db6-35628c42ac7c","resolution":{"observed_at":"2026-08-06T17:24:43.213266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.20197","last_updated":"2024-09-30T11:16:56Z","snapshot_observed_at":"2026-07-06T19:24:30.632401Z","submitted_at":"2024-09-30T11:16:56Z","title":"UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.20197","snapshot_observed_at":"2026-08-06T04:31:27.010425Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03373","last_updated":"2025-08-05T12:26:28Z","snapshot_observed_at":"2026-08-06T07:05:11.247544Z","submitted_at":"2025-08-05T12:26:28Z","title":"Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T04:31:27.010425Z"},"links":{"cited_paper":"/paper/2409.20197","citing_paper":"/paper/2508.03373"},"observation_digest":"sha256:889e596356db7789f17cf806bb785862e9f7a7f8498e0a84c0784b900c33cc9e","observation_id":"709f85dc-45e0-4b15-84ef-beb9940ca44c","resolution":{"observed_at":"2026-08-06T04:31:27.010425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.20197","last_updated":"2024-09-30T11:16:56Z","snapshot_observed_at":"2026-07-06T19:24:30.632401Z","submitted_at":"2024-09-30T11:16:56Z","title":"UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation","version":1},"cited_work":{"arxiv_id":"2409.20197","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.20197","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"be8a3b48-02c2-4b7a-b12d-639f416a92d2","year":2024},"citing_paper":{"arxiv_id":"2604.07210","last_updated":"2026-04-08T15:31:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T15:31:30Z","title":"VersaVogue: Visual Expert Orchestration and Preference Alignment for Unified Fashion Synthesis","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T19:00:29.650500Z"},"links":{"cited_paper":"/paper/2409.20197","citing_paper":"/paper/2604.07210"},"observation_digest":"sha256:80c5fd5f05ea6235a0b0dbb8ac6cfaa22bf5f52016467464c04ef92dfc454d01","observation_id":"4de7583c-4ae0-479c-9c97-48055315718b","resolution":{"observed_at":"2026-05-10T23:35:51.283199Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2409.20197","last_updated":"2024-09-30T11:16:56Z","snapshot_observed_at":"2026-07-06T19:24:30.632401Z","submitted_at":"2024-09-30T11:16:56Z","title":"UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.20197","snapshot_observed_at":"2026-07-31T23:28:18.643783Z","title":"arXiv preprint arXiv:2409.20197 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27898","last_updated":"2026-07-30T09:14:08Z","snapshot_observed_at":"2026-08-04T13:24:29.206732Z","submitted_at":"2026-07-30T09:14:08Z","title":"CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-31T23:28:18.643783Z"},"links":{"cited_paper":"/paper/2409.20197","citing_paper":"/paper/2607.27898"},"observation_digest":"sha256:2a1427b467b3af070442d2a40803904d6aeb26a90ca4e920d62aa845489daefe","observation_id":"06f6ce57-7e06-46d9-b89b-d05e48eb98ae","resolution":{"observed_at":"2026-07-31T23:28:18.643783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.20197","last_updated":"2024-09-30T11:16:56Z","snapshot_observed_at":"2026-07-06T19:24:30.632401Z","submitted_at":"2024-09-30T11:16:56Z","title":"UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.20197","snapshot_observed_at":"2026-08-04T20:14:03.204750Z","title":"arXiv preprint arXiv:2409.20197 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01829","last_updated":"2026-08-03T07:40:55Z","snapshot_observed_at":"2026-08-08T05:55:08.402114Z","submitted_at":"2026-08-03T07:40:55Z","title":"MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-08-04T20:14:03.204750Z"},"links":{"cited_paper":"/paper/2409.20197","citing_paper":"/paper/2608.01829"},"observation_digest":"sha256:29d70461c49e1fea369d6cf2d41ecd6946c834ac47ec9aea98fcfdb41fbd1383","observation_id":"f7537bf2-39fb-4c17-a414-152e260b1d7c","resolution":{"observed_at":"2026-08-04T20:14:03.204750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.20197/citation-record","integrity":"/paper/2409.20197/integrity","json":"/paper/2409.20197/citation-record.json","paper":"/paper/2409.20197"},"outbound":[],"paper":{"arxiv_id":"2409.20197","last_updated":"2024-09-30T11:16:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:24:30.632401Z","submitted_at":"2024-09-30T11:16:56Z","title":"UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation"},"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 5 inbound Pith citation observations for arXiv:2409.20197."}