{"as_of":"2026-08-10T07:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42864e306251cdccd60813ffbd0b0a3eec6787716a327f6fccc81b779bd892df","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:06:33.794774Z","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":"2026-07-03T15:48:34.982964Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-08-06T22:06:33.794774Z","title":"Robust clas- sification via a single diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22637","last_updated":"2025-07-09T03:21:09Z","snapshot_observed_at":"2026-08-06T21:59:18.540067Z","submitted_at":"2025-06-27T21:02:05Z","title":"CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:06:33.794774Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2506.22637"},"observation_digest":"sha256:88d51ba3d4cfbd26ecdeb5471d17d0ab549bd5af438ea494393cff2914953f99","observation_id":"df3bb2c5-c865-42b9-8fa0-6b1d6af776ee","resolution":{"observed_at":"2026-08-06T22:06:33.794774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-08-06T12:15:04.382570Z","title":"Robust clas- sification via a single diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21985","last_updated":"2025-07-29T16:36:01Z","snapshot_observed_at":"2026-08-09T08:29:54.951303Z","submitted_at":"2025-07-29T16:36:01Z","title":"ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:15:04.382570Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2507.21985"},"observation_digest":"sha256:505e76305b747dab18e8e27cd146f890f4b9aaa51e1e8667970d1a7dc810d307","observation_id":"3acac144-f0c9-42ef-bf78-426f66ebd064","resolution":{"observed_at":"2026-08-06T12:15:04.382570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-08-05T14:53:58.008985Z","title":"Yang, Chen-Dong Duan, Hang Su, and Jun Zhu","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20783","last_updated":"2025-08-28T13:45:04Z","snapshot_observed_at":"2026-08-09T18:53:54.880682Z","submitted_at":"2025-08-28T13:45:04Z","title":"Evaluating Compositional Generalisation in VLMs and Diffusion Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T14:53:58.008985Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2508.20783"},"observation_digest":"sha256:db44655556d6d24b2898ec9e88c41f9ca2022c58e674b27ca9391c86cb3dcfa9","observation_id":"8d7b0b8b-68af-40fb-9515-efbedfab94e5","resolution":{"observed_at":"2026-08-05T14:53:58.008985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-08-04T09:44:14.664271Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.14025","last_updated":"2026-05-31T12:35:23Z","snapshot_observed_at":"2026-08-09T09:53:04.681319Z","submitted_at":"2025-10-15T19:05:59Z","title":"NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T09:44:14.664271Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2510.14025"},"observation_digest":"sha256:0a3da62e9fcbffce276dee6e2f5a78f369e6c0291a1d22ea073a654fecd39341","observation_id":"6379ebf8-b973-4dbf-8a72-ff717f843822","resolution":{"observed_at":"2026-08-04T09:44:14.664271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-07-13T22:10:29.821610Z","title":"arXiv preprint arXiv:2305.15241 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.19122","last_updated":"2026-07-01T11:37:46Z","snapshot_observed_at":"2026-08-06T04:48:31.545769Z","submitted_at":"2026-03-19T16:44:23Z","title":"Revisiting Autoregressive Models for Generative Image Classification","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-13T22:10:29.821610Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2603.19122"},"observation_digest":"sha256:135765140a151d20ae115796d4469ef95f66860c2ce27e4123638ff7b865b08c","observation_id":"64f819cb-a95a-431a-bc5a-639073364b63","resolution":{"observed_at":"2026-07-13T22:10:29.821610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":"2305.15241","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-07-03T15:48:34.982964Z","title":"Robust classification via a single diffusion model","venue":null,"work_id":"b0f91cba-1051-4723-8c80-e4707f57e63c","year":2023},"citing_paper":{"arxiv_id":"2605.06357","last_updated":"2026-05-07T14:35:04Z","snapshot_observed_at":"2026-08-08T14:20:01.894187Z","submitted_at":"2026-05-07T14:35:04Z","title":"Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T12:53:11.185208Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2605.06357"},"observation_digest":"sha256:6bc62e72b802210669a37003f73bd018978442bc924895b1ed57a8e4b6aa74a5","observation_id":"1327a968-c3e8-494d-bd75-08fd24439c45","resolution":{"observed_at":"2026-05-11T19:01:18.290122Z","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":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":"2305.15241","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-07-03T15:48:34.982964Z","title":"Robust classification via a single diffusion model","venue":null,"work_id":"b0f91cba-1051-4723-8c80-e4707f57e63c","year":2023},"citing_paper":{"arxiv_id":"2606.07599","last_updated":"2026-05-29T07:38:39Z","snapshot_observed_at":"2026-08-09T13:16:45.925135Z","submitted_at":"2026-05-29T07:38:39Z","title":"DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T23:38:17.403918Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2606.07599"},"observation_digest":"sha256:6e4f97296580e8f75e57335c118a3d842a4189105cb0531b72157b35ead1717a","observation_id":"1f59a93f-91e0-4759-bc95-1497840f27bd","resolution":{"observed_at":"2026-06-28T23:42:49.633305Z","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":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":"2305.15241","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-07-03T15:48:34.982964Z","title":"Robust classification via a single diffusion model","venue":null,"work_id":"b0f91cba-1051-4723-8c80-e4707f57e63c","year":2023},"citing_paper":{"arxiv_id":"2607.02284","last_updated":"2026-07-02T15:02:45Z","snapshot_observed_at":"2026-07-07T00:07:42.752664Z","submitted_at":"2026-07-02T15:02:45Z","title":"FlowCIR: Semantic Transport via Flow Matching for Zero-Shot Composed Image Retrieval","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-03T15:41:05.166452Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2607.02284"},"observation_digest":"sha256:0cb6127ce787146ec86ba971970b048a4e5442ad205c01f5348613bc31f7902e","observation_id":"4f1c8fa4-9305-4802-a37d-833cea79eec5","resolution":{"observed_at":"2026-07-03T15:48:34.984775Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-07-12T00:04:25.954963Z","title":"arXiv preprint arXiv:2305.15241 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03770","last_updated":"2026-07-04T08:42:08Z","snapshot_observed_at":"2026-08-02T04:46:19.588602Z","submitted_at":"2026-07-04T08:42:08Z","title":"Self-Improving Diffusion Classifiers with Minority Preference Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T00:04:25.954963Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2607.03770"},"observation_digest":"sha256:651d0e8b79dc990bbd7bb077b8e90fc765969f86189da2b12df33f452e313db4","observation_id":"ca3683cc-ee06-417e-9c47-c40abbc26484","resolution":{"observed_at":"2026-07-12T00:04:25.954963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15241","snapshot_observed_at":"2026-07-14T04:56:11.857547Z","title":"Robust classification via a single diffusion model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11533","last_updated":"2026-07-13T13:18:21Z","snapshot_observed_at":"2026-08-10T01:26:45.366495Z","submitted_at":"2026-07-13T13:18:21Z","title":"Adaptive Routing for Efficient Diffusion Transformer-Based PNI Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T04:56:11.857547Z"},"links":{"cited_paper":"/paper/2305.15241","citing_paper":"/paper/2607.11533"},"observation_digest":"sha256:63c6e8538e382eac4acc54fdbb03a14cdd713ccaf18100197252d67f535b1914","observation_id":"7e6f0f63-5e24-435e-8865-a9ebc0e08a2b","resolution":{"observed_at":"2026-07-14T04:56:11.857547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.15241/citation-record","integrity":"/paper/2305.15241/integrity","json":"/paper/2305.15241/citation-record.json","paper":"/paper/2305.15241"},"outbound":[],"paper":{"arxiv_id":"2305.15241","last_updated":"2024-05-21T11:07:58Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T04:16:08.176028Z","submitted_at":"2023-05-24T15:25:19Z","title":"Robust Classification via a Single Diffusion Model"},"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 10 inbound Pith citation observations for arXiv:2305.15241."}