{"as_of":"2026-08-24T04:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f3b89ca581f3900427aeffee651fef9d7d48ea07de9793a7d0dd2939af08a409","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T09:00:37.321663Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.22958/citation-record","integrity":"/paper/2606.22958/integrity","json":"/paper/2606.22958/citation-record.json","paper":"/paper/2606.22958"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.14017","last_updated":"2024-07-21T11:19:38Z","snapshot_observed_at":"2026-08-17T09:45:33.023567Z","submitted_at":"2024-02-21T18:56:03Z","title":"D-Flow: Differentiating through Flows for Controlled Generation","version":2},"cited_work":{"arxiv_id":"2402.14017","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.14017","snapshot_observed_at":"2026-07-04T10:19:47.274516Z","title":"arXiv preprint arXiv:2402.14017 , year=","venue":null,"work_id":"7d435004-0fe1-41eb-81c9-87edf4ffcabd","year":2024},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2402.14017","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:c458f1744d0aa383fb8c5f36c91b4ac6619b41fc31d0da752aa96e0112f7ebb5","observation_id":"a5fbad6b-6ff8-4400-a321-e0c1ae47f5f7","resolution":{"observed_at":"2026-07-04T10:19:47.276266Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.25845","last_updated":"2026-04-30T11:11:41Z","snapshot_observed_at":"2026-08-15T07:39:45.906473Z","submitted_at":"2025-09-30T06:34:37Z","title":"Training-Free Reward-Guided Image Editing via Trajectory Optimal Control","version":3},"cited_work":{"arxiv_id":"2509.25845","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.25845","snapshot_observed_at":"2026-07-04T10:19:47.280198Z","title":"Training-Free Reward-Guided Image Editing via Trajectory Optimal Control","venue":"cs.CV","work_id":"5a1455cf-7b55-4473-90c7-04abc6836584","year":2025},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2509.25845","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:24cc63b73a73382366d9804b4d9b3aa2c00b011a9e60198c5773eded0bf01b41","observation_id":"23000a88-f119-4415-8dc5-45a6d0922fe3","resolution":{"observed_at":"2026-07-04T10:19:47.281455Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.18547","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T10:19:47.294119Z","title":"Diffusion blend: Inference-time multi-preference alignment for diffusion models","venue":null,"work_id":"457301d9-8bc2-4222-a5e5-8aae0962bdd8","year":2025},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:1bd09f259722304e72e3a433a3bbf89d2efeadd53c8051c7900c51b5d3243e80","observation_id":"b0e0164f-f52b-4133-8460-eae7bde125f5","resolution":{"observed_at":"2026-07-04T10:19:47.296120Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04312","last_updated":"2024-10-31T17:47:54Z","snapshot_observed_at":"2026-08-22T14:38:05.133399Z","submitted_at":"2024-06-06T17:56:40Z","title":"ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization","version":2},"cited_work":{"arxiv_id":"2406.04312","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04312","snapshot_observed_at":"2026-07-04T10:19:47.277474Z","title":"ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization, October 2024","venue":null,"work_id":"3d316262-d40a-4903-8945-1ef0c26b0f5c","year":2024},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2406.04312","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:52bb5f3a03156cc5628bed35838317933ac6000d4dd7cca7012028387b90dc34","observation_id":"b6358be0-3ea4-411e-a7e8-cf6056829c11","resolution":{"observed_at":"2026-07-04T10:19:47.278963Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02150","last_updated":"2025-05-26T17:27:36Z","snapshot_observed_at":"2026-08-15T13:08:30.972877Z","submitted_at":"2025-02-04T09:27:57Z","title":"On the Guidance of Flow Matching","version":3},"cited_work":{"arxiv_id":"2502.02150","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.02150","snapshot_observed_at":"2026-07-04T10:39:45.745439Z","title":"On the guidance of flow matching","venue":null,"work_id":"06d9c9cc-e9ea-4685-b637-23481a8aabb6","year":2025},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2502.02150","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:20828bdbfef6c6ac69281cffd8d36bdd400d41d389976c1001b23454117f08b2","observation_id":"ae1de94c-536c-4585-a644-a1ed5e589ca4","resolution":{"observed_at":"2026-07-04T10:19:47.290012Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01626","last_updated":"2022-08-02T17:55:41Z","snapshot_observed_at":"2026-08-17T00:44:11.103098Z","submitted_at":"2022-08-02T17:55:41Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","version":1},"cited_work":{"arxiv_id":"2208.01626","doi":"10.48500/arxiv.2208.01626","metadata_source":"pith","pith_arxiv_id":"2208.01626","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","venue":"cs.CV","work_id":"196f7eef-d65a-47e4-b815-9a188f6aedcf","year":2022},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2208.01626","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:c62221658975317938bb56d41715a1dea63bd33e0f419f28f504585abaff6ed6","observation_id":"b7e176f5-1232-4687-90b6-4484707e8d9d","resolution":{"observed_at":"2026-07-04T10:19:47.284338Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":"2207.12598","doi":"10.1109/cvpr52733.2024.02494","metadata_source":"pith","pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Classifier-Free Diffusion Guidance","venue":"cs.LG","work_id":"acf2c588-c088-4a6c-938e-150ad7c666d7","year":2022},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:90ee8b3a6b103f8e9f89fbcca3a2cda519eb71bfe1248bd421b3025260bf238b","observation_id":"db8701df-af34-4552-9fc4-2eac9b784d61","resolution":{"observed_at":"2026-07-04T10:19:47.304376Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.25170","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T10:19:47.305669Z","title":"arXiv preprint arXiv:2509.25170 , year=","venue":null,"work_id":"599c4d2a-d8ea-4d22-a03b-fb762d07b845","year":2025},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:ceef16e74344551498cbac554d12ad29cfe5682ab5655e1fe54e2720f379b8e4","observation_id":"6fdd235d-f0aa-4842-999a-ebb0e436cbc8","resolution":{"observed_at":"2026-07-04T10:19:47.307189Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.23974","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T10:19:47.271886Z","title":"J., Kang, W., and Moon, I.-C","venue":null,"work_id":"60490aaa-33ab-4555-8347-f565004842fd","year":2025},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:1ffc9ed25f4fa0d538907866f80b3a058a303235a8a2aa0479c24359c653578a","observation_id":"aa23502f-bb1b-4a26-a28b-cecf9a2caaf3","resolution":{"observed_at":"2026-07-04T10:19:47.273291Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00100","last_updated":"2024-11-27T19:04:40Z","snapshot_observed_at":"2026-08-17T02:54:37.905738Z","submitted_at":"2024-11-27T19:04:40Z","title":"Steering Rectified Flow Models in the Vector Field for Controlled Image Generation","version":1},"cited_work":{"arxiv_id":"2412.00100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.00100","snapshot_observed_at":"2026-07-04T10:19:47.269095Z","title":"Metaxas, and Yezhou Yang","venue":null,"work_id":"8cbfb975-8a5f-4bf1-a286-87288adc3e49","year":2024},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2412.00100","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:ee4cee408081dadcef97b23f1cf5d033bcf302c6c3d035a7d21e254ba7e90ac9","observation_id":"e4cd099a-e823-433c-b8e2-6adc3031a5a6","resolution":{"observed_at":"2026-07-04T10:19:47.270629Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.12242","last_updated":"2023-03-15T17:52:27Z","snapshot_observed_at":"2026-08-16T16:36:51.160261Z","submitted_at":"2022-08-25T17:45:49Z","title":"DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation","version":2},"cited_work":{"arxiv_id":"2208.12242","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.12242","snapshot_observed_at":"2026-07-09T18:36:27.290071Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject- driven generation","venue":"cs.CV","work_id":"a531ae3d-a7d0-4cda-a38f-7ccb769014c3","year":2022},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2208.12242","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:87b173d7a98a45795a6e0fc78b9dd2e4aae2c9d6d24f32a23646ca7b5f1ad983","observation_id":"750ab94a-e22c-410b-92e9-4fe0230ac636","resolution":{"observed_at":"2026-07-04T10:19:47.292922Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18881","last_updated":"2024-10-02T05:22:07Z","snapshot_observed_at":"2026-08-16T13:48:17.878399Z","submitted_at":"2024-05-29T08:39:39Z","title":"Inference-Time Alignment of Diffusion Models with Direct Noise Optimization","version":3},"cited_work":{"arxiv_id":"2405.18881","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18881","snapshot_observed_at":"2026-07-04T13:29:52.088515Z","title":"Inference-time alignment of diffusion models with direct noise optimization","venue":null,"work_id":"a2a9b9c8-9d83-4c22-825a-431387340136","year":2024},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2405.18881","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:6f7c5d6afb784626937e26dbbd78a1745c88592797c7a3a99dd99bb816717e6a","observation_id":"963af9f7-ecfc-4152-8c2b-cbda37d227b1","resolution":{"observed_at":"2026-07-04T10:19:47.301762Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09341","last_updated":"2023-09-25T08:19:23Z","snapshot_observed_at":"2026-08-14T02:46:25.655503Z","submitted_at":"2023-06-15T17:59:31Z","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","version":2},"cited_work":{"arxiv_id":"2306.09341","doi":"10.48550/arxiv.2306.09341","metadata_source":"pith","pith_arxiv_id":"2306.09341","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","venue":"cs.CV","work_id":"40702548-f094-4c67-a5db-a62f426f852e","year":2023},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:90c1e34fb945d2cf3e5ba77dcf191d0f9a9c65ed86f85922cc26ff1b56fc07f3","observation_id":"a1a27ddb-7c76-42ca-a0e2-f265e10ac75e","resolution":{"observed_at":"2026-07-04T10:19:47.287055Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-15T14:08:11.306027+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-15T14:08:11.306027+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09833","last_updated":"2023-03-17T08:38:33Z","snapshot_observed_at":"2026-08-20T16:52:32.786465Z","submitted_at":"2023-03-17T08:38:33Z","title":"FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model","version":1},"cited_work":{"arxiv_id":"2303.09833","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.09833","snapshot_observed_at":"2026-07-04T10:19:47.297392Z","title":null,"venue":null,"work_id":"5c662daa-287c-4033-a4e0-1526069b836b","year":2023},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"cited_paper":"/paper/2303.09833","citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:bfb1d9cd60b64cee3596356c77af67fba0a19e98bdb22f45d0e24ba760a01f9d","observation_id":"b4ec10c3-097d-4bb9-b548-3d891fc83f03","resolution":{"observed_at":"2026-07-04T10:19:47.298805Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T09:00:37.321663Z","title":"forward-consistency residual","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:43b5d1551fb8a171eddb20d8845e83d004c9183f6df4bf2bbf5b3da0f01b9892","observation_id":"a6105531-d512-4e33-9367-400e20234979","resolution":{"observed_at":"2026-06-26T09:00:37.321663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1460.27655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T10:19:47.266429Z","title":"Suppose at this point ∥Jc∥op ≤L c, ∥Jz∥op ≤L z, ∥rt∥ ≤R t, ∥∇cQ∥ ≤G Q c , ∥∇zt Q∥ ≤G Q z","venue":null,"work_id":"849a1ce2-2ce1-4012-acf3-38f9130b17a2","year":2088},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:2d56882baa1322b318ff33cec974de05caf5dc330605e7474b7e6752ab57120a","observation_id":"28bf8568-205b-4175-8046-27b7b25a011d","resolution":{"observed_at":"2026-07-04T10:19:47.267931Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2250.28041","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T10:19:47.263756Z","title":"Robustness on HPDv2","venue":null,"work_id":"7f02365c-6175-4916-9d92-40912e1ac2ef","year":2024},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:734ade835b26405f80ba6ff0899475451b84b330a8a71d917a8478b2dc6566aa","observation_id":"a2ca893f-6fbf-4830-92c3-f9a32174a4fe","resolution":{"observed_at":"2026-07-04T10:19:47.265109Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T09:00:37.321663Z","title":"The Statue of Liberty in Minecraft","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T09:00:37.321663Z"},"links":{"citing_paper":"/paper/2606.22958"},"observation_digest":"sha256:e5d33211399cc8e9d56412a3fc17db4c349913c9ad82414013c020665fe0f97c","observation_id":"4f68aa7d-1687-4e77-a6f0-796dfb140667","resolution":{"observed_at":"2026-06-26T09:00:37.321663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.22958","last_updated":"2026-06-22T07:36:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T18:26:57.466336Z","submitted_at":"2026-06-22T07:36:36Z","title":"PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":2,"metadata_mismatch":6,"parse_uncertain":0,"unresolved":2,"verified_exact":8,"verified_fuzzy":0},"total_outbound_references":18},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2606.22958."}