{"as_of":"2026-08-10T12:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f8282c3331f655c86fba9b60b334980fabe18d44bc712280e0037de6ccf0a3eb","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T14:01:37.455522Z","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":"2026-05-24T01:15:54.284848Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.01408","last_updated":"2023-12-03T14:15:52Z","snapshot_observed_at":"2026-07-06T16:56:13.538325Z","submitted_at":"2023-12-03T14:15:52Z","title":"Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts","version":1},"cited_work":{"arxiv_id":"2312.01408","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.01408","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e58f8199-09cd-4ed0-a34a-28933c55d6e4","year":2023},"citing_paper":{"arxiv_id":"2405.12969","last_updated":"2026-05-11T07:50:55Z","snapshot_observed_at":"2026-08-08T22:47:26.311657Z","submitted_at":"2024-05-21T17:49:10Z","title":"EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-24T01:14:56.879243Z"},"links":{"cited_paper":"/paper/2312.01408","citing_paper":"/paper/2405.12969"},"observation_digest":"sha256:d832adbef68117064d697208d9bb4bc92b5913033c50e681d5363b467feaadd3","observation_id":"983c2a2c-9170-469e-9957-9cde30c8a040","resolution":{"observed_at":"2026-05-24T01:15:54.287937Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01408","last_updated":"2023-12-03T14:15:52Z","snapshot_observed_at":"2026-07-06T16:56:13.538325Z","submitted_at":"2023-12-03T14:15:52Z","title":"Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01408","snapshot_observed_at":"2026-08-07T14:01:37.455522Z","title":"Improving in-context learning in diffusion models with visual context-modulated prompts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-09T16:42:32.965600Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.455522Z"},"links":{"cited_paper":"/paper/2312.01408","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:35c72740b30414554b2268b18bb8ee9cfd3347e55fa763d90f768eaa545409b4","observation_id":"013f1e1b-6ac5-4615-ba86-ff333928f244","resolution":{"observed_at":"2026-08-07T14:01:37.455522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01408","last_updated":"2023-12-03T14:15:52Z","snapshot_observed_at":"2026-07-06T16:56:13.538325Z","submitted_at":"2023-12-03T14:15:52Z","title":"Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts","version":1},"cited_work":{"arxiv_id":"2312.01408","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.01408","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e58f8199-09cd-4ed0-a34a-28933c55d6e4","year":2023},"citing_paper":{"arxiv_id":"2604.06748","last_updated":"2026-04-08T07:13:56Z","snapshot_observed_at":"2026-08-07T06:29:21.137051Z","submitted_at":"2026-04-08T07:13:56Z","title":"From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T18:50:08.354787Z"},"links":{"cited_paper":"/paper/2312.01408","citing_paper":"/paper/2604.06748"},"observation_digest":"sha256:fc1b2f1e554c6ea96c97d3c136d6a3a74ed0d6d2e17bdeb5afcbe3d4c43fe8d1","observation_id":"bcc6e8f6-faaa-4586-9426-33578840195e","resolution":{"observed_at":"2026-05-10T23:50:56.312597Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.01408/citation-record","integrity":"/paper/2312.01408/integrity","json":"/paper/2312.01408/citation-record.json","paper":"/paper/2312.01408"},"outbound":[],"paper":{"arxiv_id":"2312.01408","last_updated":"2023-12-03T14:15:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:56:13.538325Z","submitted_at":"2023-12-03T14:15:52Z","title":"Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.01408."}