{"as_of":"2026-08-15T21:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:337ccc87f30ff826407ccc8d88fc2945bd06c0652fa9feb90e93db4d36315bf7","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T22:58:17.807988Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T06:13:56.352402Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.00204","snapshot_observed_at":"2026-08-02T06:13:56.352402Z","title":"Ape: Agentic prompt enhancer for image generation and editing.arXiv preprint arXiv:2606.00204, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13125","last_updated":"2026-07-18T17:28:17Z","snapshot_observed_at":"2026-08-03T17:18:33.842709Z","submitted_at":"2026-07-14T17:52:05Z","title":"Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-02T06:13:56.352402Z"},"links":{"cited_paper":"/paper/2606.00204","citing_paper":"/paper/2607.13125"},"observation_digest":"sha256:48b224e8117e9893168842d391ffb39774485ea7c66855bdd626a1dc77c82ae4","observation_id":"ba063118-0aa2-45fd-a584-c75445c3e781","resolution":{"observed_at":"2026-08-02T06:13:56.352402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2606.00204/citation-record","integrity":"/paper/2606.00204/integrity","json":"/paper/2606.00204/citation-record.json","paper":"/paper/2606.00204"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Improvingimagegenerationwithbettercaptions.ComputerScience.https://cdn","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:1f6278ceb54ef23d63e4e74816b45358d8263c19df5e1964a3c2f708ce3e304b","observation_id":"3b916afa-b70c-405b-89cb-2c078ba30659","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.22699","last_updated":"2026-07-06T06:19:03Z","snapshot_observed_at":"2026-08-13T02:23:40.621810Z","submitted_at":"2025-11-27T18:52:07Z","title":"Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer","version":5},"cited_work":{"arxiv_id":"2511.22699","doi":"10.48550/arxiv.2511.22699","metadata_source":"pith","pith_arxiv_id":"2511.22699","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer","venue":"cs.CV","work_id":"f1080a62-48e1-4255-b023-7556be57370d","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2511.22699","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:23e8e769a231e52065e9155d7d844ef69416803eaa819c29a6b0ce3557c3aad6","observation_id":"6ac07a1a-1c56-4107-af36-6adacb35cd8c","resolution":{"observed_at":"2026-06-28T23:02:46.691177Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T14:08:11.489191+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T14:08:11.489191+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-15T14:08:11.489191+00:00","source":"openalex_status_cache"},{"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:f5a32c5d4cbc8af9a6d2e41bed59ae6eb0616a861a5e47683b79df98e3954140","observation_id":"6a1ad9a3-3fe0-4bbc-b08e-ac3d77968eba","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:bce077cdc131b3cd7dd4e8ed57445fc3b8aa4624e4629b52ebeea1d00362c491","observation_id":"2f0aaa64-f601-4512-a600-741deed42455","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:94d6b17860ebd15d6d19dafd1c57a075a13239aecaf7282652e2b0a4bcc38e81","observation_id":"151d1bcb-64fb-4706-99dd-cd0f59110eb6","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:6e65c57eac5890fdc94dd3733eba069336ee8daf8a4e696095b52dfb5ef1acdf","observation_id":"05ce9dc3-bfe8-4dc4-be7c-28ae01c1372b","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Gemini 3.1 Pro.https://gemini.google.com/, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:f954c49ea40238e2bdb343bee42a88813db3e134978d60c9b0054b681eeb203b","observation_id":"bcf45f96-0b35-4f12-b90f-fc56f5a94766","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Large language model based multi-agents: A survey of progress and challenges","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:c539fe807c02b459dabc2a1620d31c0d5cd128409a9748fd70b38f808868b344","observation_id":"21dd3c2a-9759-4c9d-a549-d7a6ac8b7bda","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2511.06876","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T03:05:55.268531Z","title":"Generating an image from 1,000 words: Enhancing text-to-image with structured captions","venue":null,"work_id":"18689fc3-927f-4561-98f3-7dcc4c1cdb13","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:41278e888868cca3745efbd59956479d74577e4acbbeadd84c10c654c78cce5a","observation_id":"8a2dd28a-215d-4330-824a-2acf8a217375","resolution":{"observed_at":"2026-06-28T23:02:46.711785Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2410.12853","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T03:59:34.285063Z","title":"Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.arXiv preprint arXiv:2410.12853","venue":null,"work_id":"3dc3475d-de8b-4fdc-9d0a-90fd1feb6244","year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:3a5b5201122b27a20f42309a68b9bec74d16c8afbe4f3c7e464fe82108a611d9","observation_id":"aa13d2d4-b739-4dfb-8747-4f377720ac5e","resolution":{"observed_at":"2026-06-28T23:02:46.709107Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Clipscore: A reference-free evaluation metric for image captioning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:d4c4f946960c0dbd2eb814becaddb76c1ad38f8f7f084211a25cd21b9ff62c45","observation_id":"58b58944-20d9-4a4e-b944-a80787374394","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:54198a6409c9074684863f1b4814e6de05755810c73a713aa3168dd6bb2a3dc5","observation_id":"2431bd87-54d3-45a9-b1eb-9180411a9092","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Metagpt: Meta programming for a multi-agent collaborative framework","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:0ae229fa2c4b4a20fd24d7974ec42bf4b2fb40db093848f4b9c7597e28e228ff","observation_id":"ae4c89fa-1292-4911-8464-775f2062f02f","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2510.12697","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T02:36:26.145288Z","title":"Multi-agent debate for llm judges with adaptive stability detection","venue":null,"work_id":"aaec32b7-9fbd-4a04-b0f4-9de0c7697c65","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:83cc6a8e2d52acb1ed0c17aa40b2c749c308aa8b2f8ec207fe35cf8fe4d188c7","observation_id":"adc306eb-c717-4810-887d-b475b5304034","resolution":{"observed_at":"2026-06-28T23:02:46.719275Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:b8e84c4d9c5623d26e553e4643c603c45224f552fcafa85c685d4a553fae556b","observation_id":"1b7b3feb-4a9a-4794-a90a-17d696057f5d","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in neural information processing systems, 36:36652–36663, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:deee8ad8f8f6a28b44b269e7c36155259a7dd3e1f46772d498b2d70bb7932188","observation_id":"dd1cc319-641a-4e16-b6e4-6506372cfe66","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:db4ce67bc6ddc6270c9906e839ac6705404836f0eb4f5659e685361394875a6c","observation_id":"55e8cf07-1ba8-4b32-b09b-928f1722d64c","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15742","last_updated":"2025-06-24T05:31:03Z","snapshot_observed_at":"2026-08-14T01:48:52.921086Z","submitted_at":"2025-06-17T20:18:23Z","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","version":2},"cited_work":{"arxiv_id":"2506.15742","doi":"10.48550/arxiv.2506.15742","metadata_source":"pith","pith_arxiv_id":"2506.15742","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","venue":"cs.GR","work_id":"5dfe19d5-3541-4803-8fe9-3c8b9e29b281","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2506.15742","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:2fcbcd6d7abca6fd4389c87bc2c6004acc6968de7f3027bb6409bbb4908d458a","observation_id":"336cfcae-4089-4205-ac90-15030cd2d3e6","resolution":{"observed_at":"2026-06-28T23:02:46.698935Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-05-25T00:53:20.581238+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T00:53:20.581238+00:00","source":"openalex_status_cache"},{"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Camel: Communicative agents for\" mind\" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:f0cc83e545e629f8f5b12741125fd47b8613fe85c7f7448f0d6b97ca9b59a663","observation_id":"6a60901c-3407-4ccd-ae3e-d8015797bea8","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:dd532f5c91845ad736163e887a8e2db3f58fc57a8c7e34486cd8562d09229605","observation_id":"2decc8d2-c843-4e2f-98df-a0f1afba0e9f","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Llm-grounded diffusion: Enhancing prompt under- standing of text-to-image diffusion models with large language models.Transactions on Machine Learning Research","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:24728f8d1c96f4fb7dfa1847386ae55185cde0ddb44d5b6e30da98f072a8e678","observation_id":"0749671d-f48e-4c8f-ab58-60a714b101b5","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-02T18:24:58.914589Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":"2210.02747","doi":"10.1038/s41467-024-47656-z","metadata_source":"pith","pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow Matching for Generative Modeling","venue":"cs.LG","work_id":"6edb71c4-5d64-40af-a394-9757ea051a36","year":2022},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:68088875ed5caad5dddfbf927b13fdce9f19b739cdfdc85900e85aa134393b2a","observation_id":"338753bc-0da1-4737-a2b8-ce02832b6ecc","resolution":{"observed_at":"2026-06-28T23:02:46.703732Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-06-01T22:57:59.860918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"openalex_status_cache"},{"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Flow-grpo: Training flow matching models via online rl","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:ac6aba40cb9e4d1b45de12615df6c9688f032a09e1041eb80eb2350f5ae0c7ee","observation_id":"0bbeceb7-baef-42be-a40b-b9ac28f640f4","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.05242","last_updated":"2026-01-08T18:59:24Z","snapshot_observed_at":"2026-08-04T04:35:21.359264Z","submitted_at":"2026-01-08T18:59:24Z","title":"GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization","version":1},"cited_work":{"arxiv_id":"2601.05242","doi":"10.48550/arxiv.2601.05242","metadata_source":"pith","pith_arxiv_id":"2601.05242","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization","venue":"cs.CL","work_id":"e60e0bf8-33b8-47c6-8d66-7975f5c121d4","year":2026},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2601.05242","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:86d5982e037adc0c6ce295d14c86e55bcb53c6575ab438089466ad98d28ca93a","observation_id":"d750f5b7-4775-485f-8675-09b1042e36e7","resolution":{"observed_at":"2026-06-28T23:02:46.693518Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Improved denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:1e822d4f5c001c7c72089b7ddd70ee2ba4e136371491b40c2afa24760e96ecb5","observation_id":"cbec6285-5f9a-45fb-b379-d54767b59a93","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Gpt-4.1, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:1a7b7f69fdbf98fe64654ff2a5940a9bb59e227f7e9c0863468b8feebc35722f","observation_id":"cf423438-441c-4c68-8f89-a49a83175402","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Image transformer","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:837609900e0bf0433c24cafa63265f6b8c9929e0a0d97eff8dcd35e50097a145","observation_id":"7835c2ef-c53c-4db1-b334-08378d83e754","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:f4eebfd2e7f0c80ed716dc100d3aa21f40d5fee94c2c0103ac247784c1f3b764","observation_id":"30ac5c99-a63d-45c5-9304-9e3ad6ebfa51","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:47af7e09e7588439dc4d8f96889029cbcb2399cc96b46b71591bd5710fcbedea","observation_id":"f4d278b0-75d2-4889-a049-c59a6a80bfec","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Chatdev: Communicative agents for software development","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:ddedd4230e5e14141577893df1caf410f6d42deb30b24cb02fe2797f8176e143","observation_id":"10166929-54ed-4a69-9aee-226910b0d900","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06434","last_updated":"2016-01-07T23:09:39Z","snapshot_observed_at":"2026-08-12T18:43:14.431633Z","submitted_at":"2015-11-19T22:50:32Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":"1511.06434","doi":"10.48550/arxiv.1511.06434","metadata_source":"pith","pith_arxiv_id":"1511.06434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","venue":"cs.LG","work_id":"fe2c86f4-daa0-4e36-b130-d09d98afa55a","year":2015},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/1511.06434","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:39767d730b1f8cf4ed8b4fe432d4975da5b4ccd46b1b65771cadc29162b44661","observation_id":"be0b6e8d-ba58-4f3a-969d-5daa911bc505","resolution":{"observed_at":"2026-06-28T23:02:46.701281Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:ced7ab6c152486de426a368b787e003c06eff1491a6e130516fd9206c6792578","observation_id":"4b1953c6-4924-4f16-b59d-55eb01ce2c8f","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:8f136371dcdc6b84684b5aee5faeb925179d2d9c1157314320010897401647c6","observation_id":"10c05e49-a757-4203-bedd-e5c856303f4a","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Photorealistic text- to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:b6625f25898733915015fd49501818720dec5b0f65e0a80e4409c7ffe9d5fd85","observation_id":"231487ca-ef94-496b-a899-f9663c6e006d","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":"2402.03300","doi":"10.1016/0004-3702(73)90011-8","metadata_source":"pith","pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","venue":"cs.CL","work_id":"c5006563-f3ec-438a-9e35-b7b484f34828","year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:54b5ac9b099b6bb9eaaba1fb938b0e2a9d7995bcf104b246c925f74b1705402b","observation_id":"9cae6d0d-038e-4d64-90a8-54b7ed79ade5","resolution":{"observed_at":"2026-06-28T23:02:46.688685Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":"2408.03314","doi":"10.18653/v1/2025.acl-long.1486","metadata_source":"pith","pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","venue":"cs.LG","work_id":"a8d50b24-bdf5-46ed-bc4f-2927dfd81f1d","year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:1c07cca3efd87300f3b0dc67b28fb0339bd63c67fadd6788d1d56d00e07aefe4","observation_id":"9b9fabfa-5c58-4e15-a71e-8ae5ca5fe59c","resolution":{"observed_at":"2026-06-28T23:02:46.676775Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":"2011.13456","doi":"10.1088/1748-9326/aae98d","metadata_source":"pith","pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","venue":"cs.LG","work_id":"d9110e53-a5d4-4794-a4c5-a575e91c31ad","year":2020},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:2f991cb3451d898cb366351129d6cb63be07f5acd5251b98f38f671d1af1a7fb","observation_id":"6e6fa907-90ff-4ccd-8237-d5487dac9ac5","resolution":{"observed_at":"2026-06-28T23:02:46.686321Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-06-01T22:58:00.812405+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:58:00.812405+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06322","last_updated":"2025-01-10T19:56:50Z","snapshot_observed_at":"2026-07-30T22:07:13.869232Z","submitted_at":"2025-01-10T19:56:50Z","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","version":1},"cited_work":{"arxiv_id":"2501.06322","doi":"10.48550/arxiv.2501.06322","metadata_source":"pith","pith_arxiv_id":"2501.06322","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","venue":"cs.AI","work_id":"34627f75-81fe-465e-bca5-d2a93270aa1d","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2501.06322","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:dc91f53b1b1602bb0481bba585cc2258e98f5007d881c9e04dcea35f1f17dc66","observation_id":"cde10c8c-005a-421d-b69f-0a1292d842eb","resolution":{"observed_at":"2026-06-28T23:02:46.679091Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-01T08:08:24.614742+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T08:08:24.614742+00:00","source":"openalex_status_cache"},{"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Conditional image generation with pixelcnn decoders.Advances in neural information processing systems, 29, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:c4faa6a8d32fec85380004bca61e0f7bc5d9ac226d2fcd450203f492004a9cdb","observation_id":"8a35aaf0-9bdb-47be-a955-59e769fc95c1","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2509.04545","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T08:16:48.446945Z","title":"arXiv preprint:2509.04545 , year=","venue":null,"work_id":"09a3458b-cde2-4a16-8905-52e9f9c2a0ed","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:8e3ef82ea5503f0e2b46cd22b3d78272c5c7c4eb7f716090dffb745ae2244709","observation_id":"e4c6f414-aa1c-426d-9cac-bcacada8d680","resolution":{"observed_at":"2026-06-28T23:02:46.681657Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2510.18701","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T16:17:08.866109Z","title":"Unigenbench++: A unified semantic evaluation benchmark for text-to-image generation","venue":null,"work_id":"78a1f043-fba5-436c-8931-3398320d9ba0","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:5aa0a4a2b9190c471b81631ddf437b3e5fce2452bf1552c8715094b9e72d0415","observation_id":"f57cd1e7-0859-4d68-8710-b2422bc73005","resolution":{"observed_at":"2026-06-28T23:02:46.674460Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2503.05236","last_updated":"2026-02-25T13:17:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-07T08:36:05Z","title":"Unified Reward Model for Multimodal Understanding and Generation","version":2},"cited_work":{"arxiv_id":"2503.05236","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.05236","snapshot_observed_at":"2026-07-04T16:59:58.010213Z","title":"Unified Reward Model for Multimodal Understanding and Generation","venue":"cs.CV","work_id":"bf9fcf9a-1781-4008-960e-2bec1a717e4e","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2503.05236","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:5c29f4b7f843b05297c4cb1c08f0fd28c462bfcc518061dff37f140522e723e4","observation_id":"b0dea0a6-3d2b-4198-b76b-fa0f3ad699f8","resolution":{"observed_at":"2026-06-28T23:02:46.683974Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2508.02324","last_updated":"2025-08-04T11:49:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-04T11:49:20Z","title":"Qwen-Image Technical Report","version":1},"cited_work":{"arxiv_id":"2508.02324","doi":"10.48550/arxiv.2508.02324","metadata_source":"pith","pith_arxiv_id":"2508.02324","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen-Image Technical Report","venue":"cs.CV","work_id":"d06d7ecc-7579-4f89-a60b-4278a0f3c562","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2508.02324","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:396865fbe8580f33506b51fcef25f314b53bb451857d4a901bddf3ae66e47170","observation_id":"8229f901-fb24-4995-8e6d-694aae4d4e40","resolution":{"observed_at":"2026-06-28T23:02:46.706287Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-05-21T15:23:05.016381+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T15:23:05.016381+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.04290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T16:51:14.264005Z","title":"Alvarez, Jun Gao, Sanja Fidler, Zian Wang, and Huan Ling","venue":null,"work_id":"70deb140-a916-4cc7-9132-914c8c61ebc7","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:5f1a085167c8d9944435c3ba205e58c5aef6199dd1404fda7a48e34f21fc88ea","observation_id":"3f083a94-e5ca-4a11-85fc-865a636325d1","resolution":{"observed_at":"2026-06-28T23:02:46.696477Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Autogen: Enablingnext-genllmapplicationsviamulti-agentconversations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:d14178f4f1026477c16bf3bed118b0273566f74be9731d49a24ab1486913d61a","observation_id":"04be67ae-347c-401f-886c-a279f24648c9","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:1ad563f22feb436c60dcdc79030cd60ff296c20ad1b11b0279b261069fabc91d","observation_id":"0dee506b-8b36-4f86-81a0-38b0b1a748df","resolution":{"observed_at":"2026-06-28T23:02:46.714199Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T14:08:11.306027+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+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":"2026-08-15T06:32:39.529945+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":"2026-06-28T22:58:17.807988Z","title":"Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:15903–15935, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:bd933cb86793ba0bc0bcea902b13a4d77a327ad78196e579f524a433adebce64","observation_id":"9e642931-e7cb-4f8a-b984-377e2a407ca5","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:63af2de4028f97589dd381524034d69eb72c16a9ef4186a01b067aba9f14f0dd","observation_id":"f321493d-7f0c-42a7-b0d5-cf63ffd8edbf","resolution":{"observed_at":"2026-06-28T23:02:46.716766Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T22:58:17.807988Z","title":"Imgedit: A unified image editing dataset and benchmark","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:622040a3d8d943361addfac4a475f56bbed4716ac9d6bcd795d25275fe4b0000","observation_id":"1d672f18-1eb1-4e97-8459-f8abcc15e974","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"DiffusionNFT: Online diffusion reinforcement with forward process","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:23b935fe1f07548dd6eeaea8e80181cfef7d566cbd3d9f777500514414abdf2b","observation_id":"068f5d23-654e-4bbe-b77d-ff1bc246c45d","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","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":"2026-06-28T22:58:17.807988Z","title":"Large language models are human-level prompt engineers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:17.807988Z"},"links":{"citing_paper":"/paper/2606.00204"},"observation_digest":"sha256:5cbb165c4e66346a49b6b8a1fb72cd6e327d86ff934394246ff477ccb08d2ba5","observation_id":"f22f5602-1afb-46b2-a777-9dba9267dddb","resolution":{"observed_at":"2026-06-28T22:58:17.807988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.00204","last_updated":"2026-05-29T17:59:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T22:04:11.187534Z","submitted_at":"2026-05-29T17:59:31Z","title":"APE: Agentic Prompt Enhancer for Image Generation and Editing"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":32,"verified_exact":17,"verified_fuzzy":0},"total_outbound_references":51},"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 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2606.00204."}