{"as_of":"2026-08-18T19:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:052376777aaa24401a154a81b88816febe8e3c79aadb3568cbfdbd1059ba1971","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:18:45.311287Z","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":"2026-05-20T11:45:17.546354Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.01863","last_updated":"2024-04-02T11:40:38Z","snapshot_observed_at":"2026-08-16T14:04:20.571690Z","submitted_at":"2024-04-02T11:40:38Z","title":"Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models","version":1},"cited_work":{"arxiv_id":"2404.01863","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01863","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Confidence-aware reward optimiza- tion for fine-tuning text-to-image models","venue":null,"work_id":"bb5ce7c3-5fa9-48c2-a705-006d97387e24","year":2024},"citing_paper":{"arxiv_id":"2501.09732","last_updated":"2025-01-16T18:30:37Z","snapshot_observed_at":"2026-08-16T15:15:38.321253Z","submitted_at":"2025-01-16T18:30:37Z","title":"Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-20T11:45:17.473970Z"},"links":{"cited_paper":"/paper/2404.01863","citing_paper":"/paper/2501.09732"},"observation_digest":"sha256:c79f76414b42b77458b39a7f806f29c673be47ac127e0b48e04e2cbd6b347d52","observation_id":"cccc5a1d-5808-4246-ba85-82752ee982d5","resolution":{"observed_at":"2026-05-20T11:45:17.548374Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01863","last_updated":"2024-04-02T11:40:38Z","snapshot_observed_at":"2026-08-16T14:04:20.571690Z","submitted_at":"2024-04-02T11:40:38Z","title":"Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models","version":1},"cited_work":{"arxiv_id":"2404.01863","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01863","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Confidence-aware reward optimiza- tion for fine-tuning text-to-image models","venue":null,"work_id":"bb5ce7c3-5fa9-48c2-a705-006d97387e24","year":2024},"citing_paper":{"arxiv_id":"2604.13305","last_updated":"2026-04-14T21:20:47Z","snapshot_observed_at":"2026-08-13T08:24:31.104137Z","submitted_at":"2026-04-14T21:20:47Z","title":"Bias at the End of the Score","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T15:36:38.278484Z"},"links":{"cited_paper":"/paper/2404.01863","citing_paper":"/paper/2604.13305"},"observation_digest":"sha256:372e3c048adf404a641643c6d7f4ccb7d75f093d5fb278ad0b86db344e071a68","observation_id":"3e6447ad-5a7a-40b2-a014-9a7e6ee5c728","resolution":{"observed_at":"2026-05-11T10:11:03.135530Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01863","last_updated":"2024-04-02T11:40:38Z","snapshot_observed_at":"2026-08-16T14:04:20.571690Z","submitted_at":"2024-04-02T11:40:38Z","title":"Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01863","snapshot_observed_at":"2026-08-07T14:30:32.316738Z","title":"The Twelfth International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06125","last_updated":"2026-08-06T14:55:42Z","snapshot_observed_at":"2026-08-15T03:50:38.211687Z","submitted_at":"2026-08-06T14:55:42Z","title":"Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T14:30:32.316738Z"},"links":{"cited_paper":"/paper/2404.01863","citing_paper":"/paper/2608.06125"},"observation_digest":"sha256:83a383c4fdb5d608e9d60f267dfa02e0265bcb30c0e9136b9b6917655d7f0f6e","observation_id":"0687ee4e-06d9-49bd-992a-aaf42d1bc6a1","resolution":{"observed_at":"2026-08-07T14:30:32.316738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01863","last_updated":"2024-04-02T11:40:38Z","snapshot_observed_at":"2026-08-16T14:04:20.571690Z","submitted_at":"2024-04-02T11:40:38Z","title":"Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01863","snapshot_observed_at":"2026-08-15T14:18:45.311287Z","title":"Confidence-aware reward optimization for fine-tuning text-to-image models.arXiv preprint arXiv:2404.01863,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11205","last_updated":"2026-08-11T17:59:56Z","snapshot_observed_at":"2026-08-18T06:44:17.953998Z","submitted_at":"2026-08-11T17:59:56Z","title":"AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T14:18:45.311287Z"},"links":{"cited_paper":"/paper/2404.01863","citing_paper":"/paper/2608.11205"},"observation_digest":"sha256:7800b72c03e5236fe43f596157a0a66528892016f647a038aad465780b8fdc96","observation_id":"2e0fba82-322f-43f8-9b0e-bf1617f720a9","resolution":{"observed_at":"2026-08-15T14:18:45.311287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.01863/citation-record","integrity":"/paper/2404.01863/integrity","json":"/paper/2404.01863/citation-record.json","paper":"/paper/2404.01863"},"outbound":[],"paper":{"arxiv_id":"2404.01863","last_updated":"2024-04-02T11:40:38Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:04:20.571690Z","submitted_at":"2024-04-02T11:40:38Z","title":"Confidence-aware Reward Optimization for Fine-tuning Text-to-Image 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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.01863."}