{"as_of":"2026-08-15T10:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fecceba49cab82b90d503f9a84de15113f7e901652fc85debfaa90708be11295","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:13:22.109762Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2507.00789/citation-record","integrity":"/paper/2507.00789/integrity","json":"/paper/2507.00789/citation-record.json","paper":"/paper/2507.00789"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.396130Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp","venue":null,"work_id":"b864f384-ab67-4bb9-b4a9-d42b967beb69","year":2022},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.020131Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:a743bdc8b2b6a78d75c828473220091219cf98d1ea3581a5130023887ba3017e","observation_id":"04280ffe-2b7b-409c-b8c2-b5215af8cd81","resolution":{"observed_at":"2026-08-06T21:13:22.399849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-07T21:47:08.589400Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-06T21:13:22.023700Z","title":"https://arxiv.org/abs/2311.15127","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.023700Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:a344a2427973b01866d17a35a8814f7707e4cc9bf7b323beea45a5a8373aea78","observation_id":"ea0e420a-7651-46fe-8e3e-89a19269d895","resolution":{"observed_at":"2026-08-06T21:13:22.023700Z","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":"2026-08-06T21:13:22.386663Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"903739d5-122b-4d71-a8e9-f4d8add3659a","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.027976Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:984fe6471fafea5e4839087007fdbc4e05ac5e0aa29758e595d6a1709033cecf","observation_id":"85b7559d-1549-4b52-90d3-aee6bfaaec65","resolution":{"observed_at":"2026-08-06T21:13:22.389999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.377301Z","title":"Advances in Neural Information Processing Systems 37, 125487–125519 (2024)","venue":null,"work_id":"ae09c5d5-67d1-4cfd-a81d-dd1ccea61604","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.031551Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:cc2eeea0b5d0899591c0200c4b8b3b65e6901bd07f12aee92c0abf855df35429","observation_id":"b671f02f-37fd-45db-9a86-8cde79bc347c","resolution":{"observed_at":"2026-08-06T21:13:22.380718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14828","last_updated":"2025-04-16T20:39:59Z","snapshot_observed_at":"2026-08-12T23:59:32.962823Z","submitted_at":"2024-05-23T17:46:23Z","title":"Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14828","snapshot_observed_at":"2026-08-06T21:13:22.034844Z","title":"https://arxiv.org/abs/2405.14828","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.034844Z"},"links":{"cited_paper":"/paper/2405.14828","citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:4c19ad5b219a33bf4c2f317966de5c8ad3f6b28fc83c3c33ea8d24033a799b50","observation_id":"abc1cef3-41be-49c2-8313-c34920db3000","resolution":{"observed_at":"2026-08-06T21:13:22.034844Z","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":"2026-08-06T21:13:22.366439Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)","venue":null,"work_id":"88eb1a1e-7100-4524-9575-16ee04d3ad48","year":2025},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.039081Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:f233cc81a8ad2e4be4a9922c3f3f3d34143c0c33fed110b2a1e5227567221fc8","observation_id":"21d69d66-505c-4a6a-a5a7-8699bf66ab73","resolution":{"observed_at":"2026-08-06T21:13:22.370553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.356136Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp","venue":null,"work_id":"11e8324a-4135-4296-8fb6-a90e012dd8e5","year":2023},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.042636Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:88d65368b34383d3e1ff88c15e4ab18a7f514b2c588e6e004d81ff4b8e6f4303","observation_id":"bc2bf323-0386-4e1e-86cd-8259fe0250a5","resolution":{"observed_at":"2026-08-06T21:13:22.360267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.346694Z","title":"In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp","venue":null,"work_id":"9f3162f1-5b28-4638-abac-ae80e086ef98","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.046513Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:791c15fd07a0fbc6c376e3a44cf9780276fa29ed280ec8c69edf2e154d2ecb47","observation_id":"52ea48d2-5ea0-49ba-8986-d6cd8c49b7b2","resolution":{"observed_at":"2026-08-06T21:13:22.349970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.337238Z","title":"K., Liu, Y.: Attention-driven training-free efficiency enhancement of diffusion models","venue":null,"work_id":"5c68364c-01b6-4725-8ded-880b59ba1e91","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.049674Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:9df487b94f65d1ede6f7c56ec05d11712d98a829ac79329531e7fc192d33661f","observation_id":"7d0e2848-672b-4b1c-a669-7b6acae2531d","resolution":{"observed_at":"2026-08-06T21:13:22.340491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.327636Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, pp","venue":null,"work_id":"a000a047-407b-4ca6-ae53-739f0751a0db","year":2025},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.053268Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:5b5a33db1fc28fd51bfa29df493221c0bf2e9132e99c6d4615bcff58ec4e74aa","observation_id":"06256301-0bf1-4140-a323-3a13c9f36a5d","resolution":{"observed_at":"2026-08-06T21:13:22.331650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.317788Z","title":"Advances in neural information processing systems 33, 6840–6851 (2020) Abbreviated paper title 13","venue":null,"work_id":"96d9ddf8-a95c-4d8e-bf7e-ee0f433fdda6","year":2020},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.056590Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:315197227e38a968653c43b2c3db1ad9fc706e7729932b48342f1540dd652427","observation_id":"9cc0b613-655d-44b9-8049-f3fb14206745","resolution":{"observed_at":"2026-08-06T21:13:22.320976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-06T21:13:22.060018Z","title":"https://arxiv.org/abs/2010.02502","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.060018Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:ac7c0bfa1a13291937b78cedc4e69d78146ca2ab33bce5eca0cb2587bfa0d710","observation_id":"f26787a0-165d-4a01-98a5-98d6d6ee8207","resolution":{"observed_at":"2026-08-06T21:13:22.060018Z","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":"2026-08-06T21:13:22.308738Z","title":"Advances in neural information processing systems 34, 11287–11302 (2021)","venue":null,"work_id":"5118ee4d-6c54-4f3b-aeaf-891e7506c28f","year":2021},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.063476Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:e6fa9e96c6027edd611c5c59bcfac0090a1d861a71e76f59d9d93a8a74713c1b","observation_id":"d9f734f2-19b5-457d-9ffe-e71d5c7b109e","resolution":{"observed_at":"2026-08-06T21:13:22.311975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.299441Z","title":"In: Advances in Neural Information Processing Systems, vol","venue":null,"work_id":"3444734d-99c6-4e6e-a9c5-c6d6fa5f475a","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.067355Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:d81faab93b94ee056debabbe9cd041d2673191e3950a3c83147454d58ca85827","observation_id":"63407cda-cda4-4dcb-9244-0bf56cdbf6f1","resolution":{"observed_at":"2026-08-06T21:13:22.302685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.288865Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)","venue":null,"work_id":"ac3af345-376d-4395-bd03-4cc8fef9613c","year":2025},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.070677Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:d84739883973ee1393df48a2ca49d45a892a513770fe2e4061e5a531e5d1831e","observation_id":"0763be89-3448-4e14-b416-7bafb43912b1","resolution":{"observed_at":"2026-08-06T21:13:22.292583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.278708Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)","venue":null,"work_id":"91e4b30d-98be-4bf2-8243-819f9ca942a5","year":2025},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.073740Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:0af979809a2853b9b028701ab263e6fe9deed313774d6056f036fca6c55b5a40","observation_id":"58b8ab86-f2ce-42c6-9642-d995e20829df","resolution":{"observed_at":"2026-08-06T21:13:22.282931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09461","last_updated":"2023-03-01T19:45:11Z","snapshot_observed_at":"2026-08-13T04:00:22.647615Z","submitted_at":"2022-10-17T22:23:40Z","title":"Token Merging: Your ViT But Faster","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.09461","snapshot_observed_at":"2026-08-06T21:13:22.077714Z","title":"https://arxiv.org/abs/2210.09461","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.077714Z"},"links":{"cited_paper":"/paper/2210.09461","citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:c58e5f7b82b85224e3dbf5153c1f926f6470445c77fbf30097c487220f970abd","observation_id":"f0e58a8e-eb50-44bf-9d47-434bb5873d70","resolution":{"observed_at":"2026-08-06T21:13:22.077714Z","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":"2026-08-06T21:13:22.268141Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"9ab39ee5-6805-4ff1-a36c-f72f3de3e89c","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.081065Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:b5e169a9207d79ec85b6aadde15cc41f6363568895379ddbb36af77bdab15f13","observation_id":"19cf8509-af47-4bad-920e-0752fe01f569","resolution":{"observed_at":"2026-08-06T21:13:22.272082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.258746Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"6da3a6ba-d2ce-4ab6-b3de-8ecf6abe8bc6","year":2024},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.084684Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:522637e7a293ccd804b85af74e59d07c91c201ea68116391287f6b57688963fd","observation_id":"99007ae0-4a1a-43ee-91dc-8ebb03633d1a","resolution":{"observed_at":"2026-08-06T21:13:22.262183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.247872Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, vol","venue":null,"work_id":"b88aa61a-3ede-44db-bc86-3441bfad0659","year":2025},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.087888Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:c87e03a6edf28b16fa45e97935c93fd8fde889ac55ccb6b816f20e000a45026f","observation_id":"7c5ffd3c-66a7-4f51-882d-f5ccdab71fa1","resolution":{"observed_at":"2026-08-06T21:13:22.251680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.236419Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, vol","venue":null,"work_id":"e36c08f8-d43c-42e3-a469-35a617007f2f","year":2025},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.090834Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:7b07677f192e8b6929f8f96a46a48be8fc1ccd487d23e5e524320f5894ed1d56","observation_id":"fb0285b0-cd6a-4888-8312-269fca7c1d0f","resolution":{"observed_at":"2026-08-06T21:13:22.240289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.226256Z","title":"ACM Trans- actions on Graphics (TOG) 42(4), 1–10 (2023)","venue":null,"work_id":"64d4ff71-4476-49ed-9d3c-e2abf05d7c81","year":2023},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.093875Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:324e5bbfdbde5fa00007078e2207133cfea13eb6d0366c6155a23547f14e3b96","observation_id":"7a1af300-872f-4958-b6ad-102e2877ddca","resolution":{"observed_at":"2026-08-06T21:13:22.229462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.215538Z","title":"In: International Conference on Machine Learning, pp","venue":null,"work_id":"78834e2d-2dbb-4faa-bab3-7299cafebe7b","year":2022},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.096932Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:53444475000bf9f714495934c11c13cf7cdd92722a0f9c9b4a72b8630bb09fff","observation_id":"2868d84c-c8e6-4b1e-a8e2-2784f426bbd7","resolution":{"observed_at":"2026-08-06T21:13:22.219245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:13:22.205350Z","title":"B.: Compositional visual gen- eration with composable diffusion models","venue":null,"work_id":"dd284d31-572e-4b36-bdaf-d58870763ab6","year":2022},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.099881Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:321a11bf733e3d3a3a39ff25daaefe1695869e27e0c96c929d123580085ddce8","observation_id":"12a5a48c-1879-49e4-8b81-2a25c8cf0f1e","resolution":{"observed_at":"2026-08-06T21:13:22.208910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05032","last_updated":"2023-02-28T23:46:24Z","snapshot_observed_at":"2026-08-13T13:24:31.977894Z","submitted_at":"2022-12-09T18:30:24Z","title":"Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.05032","snapshot_observed_at":"2026-08-06T21:13:22.102907Z","title":"E., Wang, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.102907Z"},"links":{"cited_paper":"/paper/2212.05032","citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:357fb35890f245e2da84a6e11e146998ec6170405b1ff22401d018a314867e6d","observation_id":"254b1dfa-35f1-42af-af37-2c3e8e2818c2","resolution":{"observed_at":"2026-08-06T21:13:22.102907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.10864","last_updated":"2024-07-14T16:20:19Z","snapshot_observed_at":"2026-08-13T10:51:51.092702Z","submitted_at":"2023-07-20T13:33:28Z","title":"Divide & Bind Your Attention for Improved Generative Semantic Nursing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.10864","snapshot_observed_at":"2026-08-06T21:13:22.106323Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.106323Z"},"links":{"cited_paper":"/paper/2307.10864","citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:984509f1875bb956a542a675921acd5117a0d760b74571570ce532b4b5039117","observation_id":"8608f32c-3726-469b-bad5-91fa20b3dce5","resolution":{"observed_at":"2026-08-06T21:13:22.106323Z","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":"2026-08-06T21:13:22.191967Z","title":"V.: A-star: Test-time attention segregation and retention for text-to-image synthesis","venue":null,"work_id":"26225c91-1149-4940-887d-e373bee62a59","year":2023},"citing_paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:22.109762Z"},"links":{"citing_paper":"/paper/2507.00789"},"observation_digest":"sha256:55a252226bc6fff7d5c82dbe84238c9f5acc28648cd47558155b687250686f14","observation_id":"4656743e-3e40-4623-b5fa-8c0aee38da11","resolution":{"observed_at":"2026-08-06T21:13:22.197194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00789","last_updated":"2025-07-01T14:24:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T15:00:38.866151Z","submitted_at":"2025-07-01T14:24:40Z","title":"OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":27},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.00789."}