{"as_of":"2026-08-07T14:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:691fcfd2566c6155b22a38aaff5c80fe87d3ca5f46ab4a7d605f6c463781352c","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T20:35:52.518144Z","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":"2026-05-20T12:28:17.014921Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.11739","last_updated":"2024-01-22T07:34:06Z","snapshot_observed_at":"2026-08-05T19:36:32.752147Z","submitted_at":"2024-01-22T07:34:06Z","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11739","snapshot_observed_at":"2026-08-06T20:35:52.518144Z","title":"Emerdiff: Emerg- ing pixel-level semantic knowledge in diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02321","last_updated":"2025-07-03T05:25:53Z","snapshot_observed_at":"2026-08-06T20:29:55.056541Z","submitted_at":"2025-07-03T05:25:53Z","title":"Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:35:52.518144Z"},"links":{"cited_paper":"/paper/2401.11739","citing_paper":"/paper/2507.02321"},"observation_digest":"sha256:da341aac9ecdc978896a89e983a5b707faabf31332a21423109060f262afe711","observation_id":"ef7cd397-221e-46ab-bc58-3da91cf42e11","resolution":{"observed_at":"2026-08-06T20:35:52.518144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11739","last_updated":"2024-01-22T07:34:06Z","snapshot_observed_at":"2026-08-05T19:36:32.752147Z","submitted_at":"2024-01-22T07:34:06Z","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11739","snapshot_observed_at":"2026-08-05T20:34:34.822638Z","title":"Emerdiff: Emerging pixel-level se- mantic knowledge in diffusion models.arXiv preprint arXiv:2401.11739, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10407","last_updated":"2025-08-18T06:07:34Z","snapshot_observed_at":"2026-08-05T20:34:29.124492Z","submitted_at":"2025-08-14T07:25:48Z","title":"Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T20:34:34.822638Z"},"links":{"cited_paper":"/paper/2401.11739","citing_paper":"/paper/2508.10407"},"observation_digest":"sha256:9ac921389a54f4952b8d056dd02c1dec9a9e62b2119f3b7905e93eb7ee114b55","observation_id":"147103e5-9808-4e98-b17b-f9a02f02d89b","resolution":{"observed_at":"2026-08-05T20:34:34.822638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11739","last_updated":"2024-01-22T07:34:06Z","snapshot_observed_at":"2026-08-05T19:36:32.752147Z","submitted_at":"2024-01-22T07:34:06Z","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models","version":1},"cited_work":{"arxiv_id":"2401.11739","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.11739","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2401.11739 , year=","venue":null,"work_id":"db61d449-9c23-46fc-ab87-283a1f6818b5","year":null},"citing_paper":{"arxiv_id":"2605.18010","last_updated":"2026-05-18T08:05:07Z","snapshot_observed_at":"2026-08-02T12:16:21.427153Z","submitted_at":"2026-05-18T08:05:07Z","title":"Functionalization via Structure Completion and Motion Rectification","version":1},"reference_index":159,"source":"arxiv_source","source_observed_at":"2026-05-20T12:25:07.157086Z"},"links":{"cited_paper":"/paper/2401.11739","citing_paper":"/paper/2605.18010"},"observation_digest":"sha256:f46f142de1e098cb9e856dbb8aa937d4bfa63f63ad3b39ada7637aecc0aa3767","observation_id":"6f699422-024a-428b-922e-0f65898770e7","resolution":{"observed_at":"2026-05-20T12:28:17.016524Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11739","last_updated":"2024-01-22T07:34:06Z","snapshot_observed_at":"2026-08-05T19:36:32.752147Z","submitted_at":"2024-01-22T07:34:06Z","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11739","snapshot_observed_at":"2026-08-01T07:02:54.810179Z","title":"arXiv preprint arXiv:2401.11739 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21594","last_updated":"2026-07-23T17:59:58Z","snapshot_observed_at":"2026-08-07T01:32:12.278950Z","submitted_at":"2026-07-23T17:59:58Z","title":"Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers","version":1},"reference_index":182,"source":"arxiv_source","source_observed_at":"2026-08-01T07:02:54.810179Z"},"links":{"cited_paper":"/paper/2401.11739","citing_paper":"/paper/2607.21594"},"observation_digest":"sha256:c3506e65f05f9558a6942eaf212d16367cdf236b41bbcdc64aadf6b5c056cd73","observation_id":"b431f28a-5245-4f4c-9c1c-6af1bdfb3aa6","resolution":{"observed_at":"2026-08-01T07:02:54.810179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.11739/citation-record","integrity":"/paper/2401.11739/integrity","json":"/paper/2401.11739/citation-record.json","paper":"/paper/2401.11739"},"outbound":[],"paper":{"arxiv_id":"2401.11739","last_updated":"2024-01-22T07:34:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T19:36:32.752147Z","submitted_at":"2024-01-22T07:34:06Z","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.11739."}