{"as_of":"2026-08-13T18:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:550a3d715bbfa97f4c4646ba9580da5a238964d5556f1eb1716d14c9aef32a00","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":"2026-08-13T06:32:02.005865+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":"2026-08-07T12:35:18.562919Z","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":"2026-07-03T04:57:38.414262Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.01115","last_updated":"2023-10-18T21:56:31Z","snapshot_observed_at":"2026-08-13T11:51:45.536820Z","submitted_at":"2023-05-01T23:03:37Z","title":"In-Context Learning Unlocked for Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.01115","snapshot_observed_at":"2026-08-07T12:35:18.562919Z","title":", author Jiang, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24260","last_updated":"2025-05-30T06:33:48Z","snapshot_observed_at":"2026-08-08T05:58:51.476337Z","submitted_at":"2025-05-30T06:33:48Z","title":"Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:18.562919Z"},"links":{"cited_paper":"/paper/2305.01115","citing_paper":"/paper/2505.24260"},"observation_digest":"sha256:8b02c4079a7c81e426e3ada1ffee09a788ed6abbdbd52fef8e3006758f101a27","observation_id":"e3b2dbcc-47a7-4ce0-a96e-3311d0f47ade","resolution":{"observed_at":"2026-08-07T12:35:18.562919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01115","last_updated":"2023-10-18T21:56:31Z","snapshot_observed_at":"2026-08-13T11:51:45.536820Z","submitted_at":"2023-05-01T23:03:37Z","title":"In-Context Learning Unlocked for Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.01115","snapshot_observed_at":"2026-08-07T05:29:14.741897Z","title":"In-context learning unlocked for diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07992","last_updated":"2025-06-09T17:57:15Z","snapshot_observed_at":"2026-08-09T19:20:20.815468Z","submitted_at":"2025-06-09T17:57:15Z","title":"PairEdit: Learning Semantic Variations for Exemplar-based Image Editing","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:29:14.741897Z"},"links":{"cited_paper":"/paper/2305.01115","citing_paper":"/paper/2506.07992"},"observation_digest":"sha256:ff0f7c1029da47baa7653852ce80ec25802aab33c389efc2f1959f3a3a134953","observation_id":"5e4c9d5d-226f-4985-b350-23e91a3b68ef","resolution":{"observed_at":"2026-08-07T05:29:14.741897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01115","last_updated":"2023-10-18T21:56:31Z","snapshot_observed_at":"2026-08-13T11:51:45.536820Z","submitted_at":"2023-05-01T23:03:37Z","title":"In-Context Learning Unlocked for Diffusion Models","version":2},"cited_work":{"arxiv_id":"2305.01115","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.01115","snapshot_observed_at":"2026-07-03T04:57:38.414262Z","title":"In-context learning unlocked for diffusion models","venue":null,"work_id":"4ec236eb-333b-4a44-b51b-a1fdfb1dc544","year":2023},"citing_paper":{"arxiv_id":"2605.07940","last_updated":"2026-05-08T16:09:15Z","snapshot_observed_at":"2026-07-06T23:20:15.696237Z","submitted_at":"2026-05-08T16:09:15Z","title":"Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-11T03:33:50.738264Z"},"links":{"cited_paper":"/paper/2305.01115","citing_paper":"/paper/2605.07940"},"observation_digest":"sha256:360a772aeb19798bbf05e93096f5c4966269b86b65001c7144b34041d22523c1","observation_id":"90505702-a319-4bcd-bf5d-b3fca881fce2","resolution":{"observed_at":"2026-05-11T03:40:53.941343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01115","last_updated":"2023-10-18T21:56:31Z","snapshot_observed_at":"2026-08-13T11:51:45.536820Z","submitted_at":"2023-05-01T23:03:37Z","title":"In-Context Learning Unlocked for Diffusion Models","version":2},"cited_work":{"arxiv_id":"2305.01115","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.01115","snapshot_observed_at":"2026-07-03T04:57:38.414262Z","title":"In-context learning unlocked for diffusion models","venue":null,"work_id":"4ec236eb-333b-4a44-b51b-a1fdfb1dc544","year":2023},"citing_paper":{"arxiv_id":"2606.07171","last_updated":"2026-06-05T11:40:03Z","snapshot_observed_at":"2026-08-02T22:25:34.082799Z","submitted_at":"2026-06-05T11:40:03Z","title":"When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-27T22:08:57.792229Z"},"links":{"cited_paper":"/paper/2305.01115","citing_paper":"/paper/2606.07171"},"observation_digest":"sha256:643bb5620732ecfa8e167697e582f4f2c749ac07cf08ecf86025d328c8958992","observation_id":"9ed13fe4-daff-4899-a926-19dd58d8d6a6","resolution":{"observed_at":"2026-07-02T17:07:13.127616Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01115","last_updated":"2023-10-18T21:56:31Z","snapshot_observed_at":"2026-08-13T11:51:45.536820Z","submitted_at":"2023-05-01T23:03:37Z","title":"In-Context Learning Unlocked for Diffusion Models","version":2},"cited_work":{"arxiv_id":"2305.01115","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.01115","snapshot_observed_at":"2026-07-03T04:57:38.414262Z","title":"In-context learning unlocked for diffusion models","venue":null,"work_id":"4ec236eb-333b-4a44-b51b-a1fdfb1dc544","year":2023},"citing_paper":{"arxiv_id":"2606.10905","last_updated":"2026-06-09T14:13:58Z","snapshot_observed_at":"2026-08-08T17:31:31.045906Z","submitted_at":"2026-06-09T14:13:58Z","title":"Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-27T13:31:55.497762Z"},"links":{"cited_paper":"/paper/2305.01115","citing_paper":"/paper/2606.10905"},"observation_digest":"sha256:f14897ef4d2429f6d91f84272261a4eb254cf1488030f52a6bee1d381b15b3b8","observation_id":"aac9aca4-8291-4070-9e27-f8a5817ad58f","resolution":{"observed_at":"2026-07-03T04:57:38.415719Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.01115/citation-record","integrity":"/paper/2305.01115/integrity","json":"/paper/2305.01115/citation-record.json","paper":"/paper/2305.01115"},"outbound":[],"paper":{"arxiv_id":"2305.01115","last_updated":"2023-10-18T21:56:31Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T11:51:45.536820Z","submitted_at":"2023-05-01T23:03:37Z","title":"In-Context Learning Unlocked for Diffusion 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.01115."}