{"as_of":"2026-08-12T04:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8253262faa9e1cb4fb870c50aa734c18cb8a1d46ec123e0f4752002389381540","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:48:09.750060Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2506.12633/citation-record","integrity":"/paper/2506.12633/integrity","json":"/paper/2506.12633/citation-record.json","paper":"/paper/2506.12633"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:48:06.539779Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.539779Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:d53498b2e5806d84ed0cdae1f300f5be1610366f06e522cf07ad2d829212f0fa","observation_id":"0b1e86d3-2ea8-4b67-b31f-4783dafa2a09","resolution":{"observed_at":"2026-08-07T00:48:06.539779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T00:48:06.600690Z","title":"L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.600690Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:001b30160fe75bd2f6bf4667857077357ae32649d12e3c7711e4baacd7b7e9a4","observation_id":"101c4e2e-257b-40b8-ad93-3731754e12de","resolution":{"observed_at":"2026-08-07T00:48:06.600690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T00:48:06.677498Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.677498Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:faed8fa51fa49f0c1e536459ba1fce9a29047d4875f19799b4ff0c3089460631","observation_id":"9f996a4a-dabb-4e31-9f75-bd8788e6a025","resolution":{"observed_at":"2026-08-07T00:48:06.677498Z","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":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:48:10.551841Z","title":"Initno: Boosting text-to-image diffusion models via initial noise optimization","venue":null,"work_id":"eb4bc8bb-d4d6-4911-99c0-bcf4aef587c5","year":2024},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.733841Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:12c25283aa401ab3530d1c47fb2eade2e03bb801bd82269a99c822d8e5a59f67","observation_id":"304ca449-c552-4e76-8404-9e8732bf9e7c","resolution":{"observed_at":"2026-08-07T00:48:10.611746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T00:48:06.800052Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.800052Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:d985fa47dcabed3d21739880c87a69975b1c008e4001d179610f6a2380d28a8b","observation_id":"6023936f-557a-432a-949b-1975a1af5a62","resolution":{"observed_at":"2026-08-07T00:48:06.800052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12271","last_updated":"2025-03-15T21:58:12Z","snapshot_observed_at":"2026-08-07T17:01:29.272775Z","submitted_at":"2025-03-15T21:58:12Z","title":"Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12271","snapshot_observed_at":"2026-08-07T00:48:06.881850Z","title":"Reflect-dit: Inference-time scaling for text-to-image diffusion transformers via in-context reflection","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.881850Z"},"links":{"cited_paper":"/paper/2503.12271","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:5e6b3762e0c7404f9482fbee4ee4ce49bd51104e5c1292e1fff89927bef4ae1e","observation_id":"bfbefcd0-384c-45b2-ab6d-eef2e93bb952","resolution":{"observed_at":"2026-08-07T00:48:06.881850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09732","last_updated":"2025-01-16T18:30:37Z","snapshot_observed_at":"2026-07-06T20:22:04.328179Z","submitted_at":"2025-01-16T18:30:37Z","title":"Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09732","snapshot_observed_at":"2026-08-07T00:48:06.959834Z","title":"Inference-time scaling for diffusion models beyond scaling denoising steps","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:06.959834Z"},"links":{"cited_paper":"/paper/2501.09732","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:e436e1aeafec09f35b48dd1f263160be6905f070a3e6f62b94f000079d41713e","observation_id":"c7e8014c-25f2-42af-ba94-1aa729b748c8","resolution":{"observed_at":"2026-08-07T00:48:06.959834Z","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":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:48:10.406020Z","title":null,"venue":null,"work_id":"ba0a1db7-1f52-4d11-a0f0-43b6b51a43db","year":2024},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:07.026919Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:ee55f1541a98d8870a8f4570f62ea1a75f589d72a73a20861eb75e1bd5dd4348","observation_id":"ca672807-22a2-407b-8afa-4235c0b30562","resolution":{"observed_at":"2026-08-07T00:48:10.479150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-07T00:48:07.113856Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:07.113856Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:0851e42380819e4a9afbf75ddebccaee7ddf9c5ac9bb399b1d212698118b3848","observation_id":"ec7bb8c9-4e06-4b5a-86c2-144d77646920","resolution":{"observed_at":"2026-08-07T00:48:07.113856Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:48:07.184686Z","title":"Learning to reason with llms, September 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:07.184686Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:ba49cb13b2b8c8ac0d6567d9c9c221402653709ce75ff33989094939651ab349","observation_id":"b9cf3692-29de-46c5-bcf8-530561512d52","resolution":{"observed_at":"2026-08-07T00:48:07.184686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18936","last_updated":"2025-03-24T19:58:03Z","snapshot_observed_at":"2026-08-10T18:08:32.285387Z","submitted_at":"2024-11-28T05:58:03Z","title":"Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects","version":2},"cited_work":{"arxiv_id":"2411.18936","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.18936","snapshot_observed_at":"2026-08-07T00:48:09.935086Z","title":"Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects","venue":"cs.CV","work_id":"d522338b-5589-495b-ae08-9ccbf5250420","year":2024},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:07.360602Z"},"links":{"cited_paper":"/paper/2411.18936","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:a516306cbba7107852c0f88162ec99362f7a69211fd0c417d096f361453c343d","observation_id":"8e26f502-36de-45d3-84c9-5f0333ae9fb3","resolution":{"observed_at":"2026-08-07T00:48:10.022788Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T00:48:07.801284Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:07.801284Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:af6b7c2080bdf8c2278fb95d6998e2c0add116184324692a403c8721a84e695f","observation_id":"bcde785b-1c43-455d-8df7-d33f7bba67e7","resolution":{"observed_at":"2026-08-07T00:48:07.801284Z","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":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:48:10.257813Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"04b8e5dd-e319-4886-82bc-32b8ddb470d9","year":2015},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:08.934175Z"},"links":{"citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:2b844b6dc7a435ca29a7c09f6963a4ac2d0a43aa5936a4323e1cb66fcd2c9588","observation_id":"bdbe362f-4659-4e98-b635-0f0faf634b17","resolution":{"observed_at":"2026-08-07T00:48:10.320953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.24235","last_updated":"2025-05-04T15:48:08Z","snapshot_observed_at":"2026-08-11T13:17:40.816545Z","submitted_at":"2025-03-31T15:46:15Z","title":"A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.24235","snapshot_observed_at":"2026-08-07T00:48:09.598965Z","title":"What, how, where, and how well? a survey on test-time scaling in large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:09.598965Z"},"links":{"cited_paper":"/paper/2503.24235","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:87617c88ccca7277b1356aee1f25ed7000111ced4c6833172071bdc57126f2fe","observation_id":"57d86e5a-f324-4cbd-81af-fe8beac1a887","resolution":{"observed_at":"2026-08-07T00:48:09.598965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.16080","last_updated":"2025-04-22T17:58:07Z","snapshot_observed_at":"2026-08-07T16:00:10.854906Z","submitted_at":"2025-04-22T17:58:07Z","title":"From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.16080","snapshot_observed_at":"2026-08-07T00:48:09.750060Z","title":"From reflection to perfection: Scaling inference-time optimization for text-to-image diffusion models via reflection tuning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:09.750060Z"},"links":{"cited_paper":"/paper/2504.16080","citing_paper":"/paper/2506.12633"},"observation_digest":"sha256:8cbafeea618798e95c3bd31408e5dade2875aaa7f3cc1de5b2bc37578089f59d","observation_id":"e4707503-ed7d-45d1-a0b6-f909836be134","resolution":{"observed_at":"2026-08-07T00:48:09.750060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.12633","last_updated":"2025-06-14T21:25:08Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T17:39:22.551329Z","submitted_at":"2025-06-14T21:25:08Z","title":"Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":1,"verified_fuzzy":2},"total_outbound_references":15},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.12633."}