{"as_of":"2026-08-11T01:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:551e65c9f3ac98dece142315bb70410beed384448c2af112a44ef7b127df5f0c","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":"2026-08-10T06:31:04.303077+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":"2026-05-23T20:50:21.184443Z","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":"2026-05-23T20:53:26.493923Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.00079","last_updated":"2023-11-30T02:33:29Z","snapshot_observed_at":"2026-07-06T16:55:17.192399Z","submitted_at":"2023-11-30T02:33:29Z","title":"HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models","version":1},"cited_work":{"arxiv_id":"2312.00079","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.00079","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9080b50b-7bdf-4c9e-b80f-a33d0909f8a8","year":2023},"citing_paper":{"arxiv_id":"2409.08248","last_updated":"2026-05-19T07:22:47Z","snapshot_observed_at":"2026-08-01T17:09:07.344749Z","submitted_at":"2024-09-12T17:47:51Z","title":"TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-23T20:50:21.184443Z"},"links":{"cited_paper":"/paper/2312.00079","citing_paper":"/paper/2409.08248"},"observation_digest":"sha256:922229427dc6ef09a4b3badf5777d65acf75a93a03feb63472d7b7ffd0a4d3d9","observation_id":"cb3928fa-2eea-4a5c-82ab-2190bcf61dbe","resolution":{"observed_at":"2026-05-23T20:53:26.496696Z","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":"2312.00079","last_updated":"2023-11-30T02:33:29Z","snapshot_observed_at":"2026-07-06T16:55:17.192399Z","submitted_at":"2023-11-30T02:33:29Z","title":"HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models","version":1},"cited_work":{"arxiv_id":"2312.00079","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.00079","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9080b50b-7bdf-4c9e-b80f-a33d0909f8a8","year":2023},"citing_paper":{"arxiv_id":"2604.13863","last_updated":"2026-04-15T13:29:08Z","snapshot_observed_at":"2026-08-02T17:57:41.943762Z","submitted_at":"2026-04-15T13:29:08Z","title":"PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T14:16:40.509571Z"},"links":{"cited_paper":"/paper/2312.00079","citing_paper":"/paper/2604.13863"},"observation_digest":"sha256:a35c9de8452f8627cc69c31765af813a4a4a036eeccf4c62614540b3958e0ba8","observation_id":"71c4edaf-f5dc-498c-a593-c62a46341068","resolution":{"observed_at":"2026-05-10T14:20:30.465027Z","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/2312.00079/citation-record","integrity":"/paper/2312.00079/integrity","json":"/paper/2312.00079/citation-record.json","paper":"/paper/2312.00079"},"outbound":[],"paper":{"arxiv_id":"2312.00079","last_updated":"2023-11-30T02:33:29Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:55:17.192399Z","submitted_at":"2023-11-30T02:33:29Z","title":"HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.00079."}