{"as_of":"2026-08-17T12:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7f1a28c94e20a61c621c7d56f8ec567737c4099dc1e0d0535b1efb6f929486b8","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:16:26.325955Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:28:50.730119Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T15:06:49.900785Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.13787","snapshot_observed_at":"2026-08-16T12:28:50.730119Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15300","last_updated":"2025-04-17T06:41:30Z","snapshot_observed_at":"2026-08-17T01:36:18.098089Z","submitted_at":"2025-04-17T06:41:30Z","title":"Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions","version":1},"reference_index":157,"source":"pdf_text","source_observed_at":"2026-08-16T12:28:50.730119Z"},"links":{"cited_paper":"/paper/2411.13787","citing_paper":"/paper/2504.15300"},"observation_digest":"sha256:a737c4f3360387009778327c50e725dba79ed2223dde391d9861785fb99a9294","observation_id":"a57d7236-ce53-4f05-93ea-318804594605","resolution":{"observed_at":"2026-08-16T12:28:50.730119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"cited_work":{"arxiv_id":"2411.13787","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.13787","snapshot_observed_at":"2026-08-06T15:06:49.900785Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","venue":"cs.CV","work_id":"9eef5c86-bc6e-43b4-939b-a284fd0745a2","year":2024},"citing_paper":{"arxiv_id":"2507.16731","last_updated":"2025-07-22T16:13:43Z","snapshot_observed_at":"2026-08-16T02:08:34.366113Z","submitted_at":"2025-07-22T16:13:43Z","title":"Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges","version":1},"reference_index":165,"source":"pdf_text","source_observed_at":"2026-08-06T15:06:48.464173Z"},"links":{"cited_paper":"/paper/2411.13787","citing_paper":"/paper/2507.16731"},"observation_digest":"sha256:13f0cca3b3be4d955ae1438090cc9b5a2dfb8b1b14ee0dc1e624a84bc19989f4","observation_id":"ac9b0eab-6053-47f8-b5b6-819b394b3637","resolution":{"observed_at":"2026-08-06T15:06:49.905585Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.13787/citation-record","integrity":"/paper/2411.13787/integrity","json":"/paper/2411.13787/citation-record.json","paper":"/paper/2411.13787"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:27.040485Z","title":"https : / / huggingface","venue":null,"work_id":"029b6c52-5a57-493a-936f-a864e47638ee","year":null},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.177348Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:45480ec31145e057e8ff89096b98adea60e57c0d4495f1dda11750df65d48b34","observation_id":"832a96aa-36ab-4e75-b722-9da21ecbcbae","resolution":{"observed_at":"2026-08-12T16:16:27.043637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:27.031184Z","title":"Mixture of tokens: Continuous moe through cross-example aggregation","venue":null,"work_id":"63a054a3-05a8-4d3c-8911-b1fb41977fb1","year":2025},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.181769Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:586aab87485f1d271ffa441061f873508578ff4ea9a150e9ed8889f930548ff0","observation_id":"8e36cc9d-df1c-49db-92c3-72c1a37a7cde","resolution":{"observed_at":"2026-08-12T16:16:27.034337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.185145Z","title":"Imagen 3","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.185145Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:8120c7b49f9236b864d803160fb3f1767747229b397b105c764f0493b26327e3","observation_id":"1260a09d-2e07-4e1a-860d-005f1e91305a","resolution":{"observed_at":"2026-08-12T16:16:26.185145Z","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":"2026-08-12T16:16:27.022065Z","title":"Ld-pruner: Efficient pruning of latent diffu- sion models using task-agnostic insights","venue":null,"work_id":"7006e265-90c7-411f-9d9c-f571920c7994","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.188789Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:cb50775504f616b9fd0ead67e808558b2b1a3829a77d740987555aed61ff99aa","observation_id":"4d25ca0e-b414-46f3-9271-5abfc6dcd011","resolution":{"observed_at":"2026-08-12T16:16:27.025385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00426","last_updated":"2023-12-29T16:42:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-30T16:18:00Z","title":"PixArt-$\\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00426","snapshot_observed_at":"2026-08-12T16:16:26.192155Z","title":"Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.192155Z"},"links":{"cited_paper":"/paper/2310.00426","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:78819eb879e98d14d52650ce128fad584cc92ca8ce2f8f467c44ccb9a6fd43f1","observation_id":"3f8c975e-a461-45ff-8adf-56a47442c81d","resolution":{"observed_at":"2026-08-12T16:16:26.192155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.05176","last_updated":"2023-05-09T05:11:02Z","snapshot_observed_at":"2026-08-10T11:59:11.481480Z","submitted_at":"2023-05-09T05:11:02Z","title":"FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.05176","snapshot_observed_at":"2026-08-12T16:16:26.196949Z","title":"Frugalgpt: How to use large language models while reducing cost and improving performance","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.196949Z"},"links":{"cited_paper":"/paper/2305.05176","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:dcf4ca84e4c73831964586554228407a1410c01d9572021c53446193fe6b6a7f","observation_id":"74286e4c-9c59-442a-b55d-7458087efbf3","resolution":{"observed_at":"2026-08-12T16:16:26.196949Z","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":"2026-08-12T16:16:27.012821Z","title":"Reproducible scal- ing laws for contrastive language-image learning","venue":null,"work_id":"80548ee5-435d-4a7f-9be2-e54fe955abf2","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.200322Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:8fe8faeef599749ea5d7ac128ba4e8f94e583bd9baa9b57e53194d836faf7762","observation_id":"6643db29-d8ec-488c-952f-060c9f089548","resolution":{"observed_at":"2026-08-12T16:16:27.016134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14618","last_updated":"2024-04-22T23:06:42Z","snapshot_observed_at":"2026-08-16T23:10:32.223527Z","submitted_at":"2024-04-22T23:06:42Z","title":"Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14618","snapshot_observed_at":"2026-08-12T16:16:26.203856Z","title":"Hybrid llm: Cost- efficient and quality-aware query routing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.203856Z"},"links":{"cited_paper":"/paper/2404.14618","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:acf697a0eb404ec43a8e3c1b6d6baedcae2ffa665085b3f8c0524054d2e9d250","observation_id":"771beb8d-25aa-4611-8297-56c34aa4a62f","resolution":{"observed_at":"2026-08-12T16:16:26.203856Z","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":"2026-08-12T16:16:27.003170Z","title":"Scaling recti- fied flow transformers for high-resolution image synthesis","venue":null,"work_id":"4c5af346-900a-4abf-839d-7318247878d7","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.208015Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:6bcc68dfcfc3d23113f67def9d22ea3e6dfb27cd097609e2413e9559e93e0b36","observation_id":"621b72f9-26b2-41df-b660-738a6e6ea4c6","resolution":{"observed_at":"2026-08-12T16:16:27.006381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04431","last_updated":"2025-06-17T15:32:20Z","snapshot_observed_at":"2026-08-15T00:31:45.808844Z","submitted_at":"2024-12-05T18:53:02Z","title":"Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04431","snapshot_observed_at":"2026-08-12T16:16:26.211636Z","title":"Infinity: Scaling bit- wise autoregressive modeling for high-resolution image syn- thesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.211636Z"},"links":{"cited_paper":"/paper/2412.04431","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:fd134e519358ec7eecfcae02591892870feba18ce0aa4f049eb499843eedcdab","observation_id":"ae7d3901-2b46-4b28-a3c1-e0ceb90695a8","resolution":{"observed_at":"2026-08-12T16:16:26.211636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12031","last_updated":"2024-03-28T17:56:28Z","snapshot_observed_at":"2026-08-16T16:38:21.205977Z","submitted_at":"2024-03-18T17:59:04Z","title":"RouterBench: A Benchmark for Multi-LLM Routing System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12031","snapshot_observed_at":"2026-08-12T16:16:26.214759Z","title":"Routerbench: A bench- mark for multi-llm routing system","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.214759Z"},"links":{"cited_paper":"/paper/2403.12031","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:9b5bb72ab745f7c3eff1b55a9a7cdeccd75a59fc52d9cd13da0b123f77b30129","observation_id":"3581a645-b16a-4c84-a6ec-575b04f91633","resolution":{"observed_at":"2026-08-12T16:16:26.214759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10498","last_updated":"2025-06-19T13:45:04Z","snapshot_observed_at":"2026-08-16T14:00:31.403700Z","submitted_at":"2024-04-16T12:12:06Z","title":"LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System","version":2},"cited_work":{"arxiv_id":"2404.10498","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.10498","snapshot_observed_at":"2026-08-12T16:16:26.435045Z","title":"LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System","venue":"cs.AI","work_id":"0b06744e-3cb5-45b5-b549-4bab652fc912","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.218172Z"},"links":{"cited_paper":"/paper/2404.10498","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:591859b91980523726d15d5ec731c5dcc135b0d3e6fe521f9aabe70eac892ba8","observation_id":"5e642b47-7fb9-4f0c-9f0a-cc344bed0eb9","resolution":{"observed_at":"2026-08-12T16:16:26.440660Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.993299Z","title":"Efficient edge inference by se- lective query","venue":null,"work_id":"70b4caf1-fd95-427a-9240-8d83e06bb811","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.221574Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:cc84f4c4630491df025eaad65b0761162c344b90f382a39fe1a8a1229a487541","observation_id":"ca2ad42a-3f41-4956-92f0-f9851e846e70","resolution":{"observed_at":"2026-08-12T16:16:26.997382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.983126Z","title":"Holis- tic evaluation of text-to-image models","venue":null,"work_id":"4c22b52d-04a7-43c9-b0eb-03fce1744d53","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.224458Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:3437275847048f34a5d66d5ae3021a9a1864ea90844689d4a7a7d85cfcb08533","observation_id":"33046802-4324-460c-a040-c99024e231ed","resolution":{"observed_at":"2026-08-12T16:16:26.987390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.974065Z","title":"Holis- tic evaluation of text-to-image models","venue":null,"work_id":"facbc667-dee8-4614-98c6-90d496275124","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.227586Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:75dc6d8665f516dbbafc5f0f0408d6089c39d1921973cc80ab586044e7a8d738","observation_id":"195e02c1-2d16-47af-b39a-a2ba00c8b5f6","resolution":{"observed_at":"2026-08-12T16:16:26.977184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.964969Z","title":"Q-diffusion: Quantizing diffusion models","venue":null,"work_id":"1f742095-c684-4958-8f7f-05d9f397b049","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.230486Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:03788bc8d8ad0639aa9428b5a17faaf821cd55a0892470354b47e58a52caf640","observation_id":"d3f11ac8-d322-43ac-815e-3ace18d0ade6","resolution":{"observed_at":"2026-08-12T16:16:26.968181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.233638Z","title":"Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.233638Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:71cb74ded3a58fd706779afb2865bfe75a3507a545d5a68bdbc21e52f57894ee","observation_id":"ac55274c-af5d-4a5b-8df1-3d8b265b3910","resolution":{"observed_at":"2026-08-12T16:16:26.233638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.236523Z","title":"Iterative prompt learning for unsupervised backlit image enhancement","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.236523Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:9368265eca97444fb9d43aaa681123e52ec33aefded9cff9dffff15cc041d449","observation_id":"f49bb406-b2f1-437c-b35b-de9f95b18b30","resolution":{"observed_at":"2026-08-12T16:16:26.236523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.239603Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.239603Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:9b19b0705f6c687dcb9737d3a3b3c4603d9044b9b306d4a5190f32531eec46ec","observation_id":"b25f0fa2-aaf4-4ba8-a03b-d0a960666936","resolution":{"observed_at":"2026-08-12T16:16:26.239603Z","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":"2026-08-12T16:16:26.939639Z","title":"Instaflow: One step is enough for high-quality diffusion- based text-to-image generation","venue":null,"work_id":"a1790570-14c8-4adc-b50b-91ea0e1910d9","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.242994Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:ac8bbe80d0f78256238d8b1daf97b5452222b7402b6d0e13c37f6a7062f210d8","observation_id":"6032303a-d7a5-4b39-9b4b-c80d60520339","resolution":{"observed_at":"2026-08-12T16:16:26.942949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08692","last_updated":"2023-11-15T04:40:43Z","snapshot_observed_at":"2026-08-16T14:43:12.792044Z","submitted_at":"2023-11-15T04:40:43Z","title":"Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08692","snapshot_observed_at":"2026-08-12T16:16:26.246128Z","title":"Routing to the expert: Efficient reward-guided ensemble of large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.246128Z"},"links":{"cited_paper":"/paper/2311.08692","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:7fd094e838979de0a32c6c39e307e30047df8e06542c54ec0c68b7ed036938ed","observation_id":"e9272aee-7acf-4ea7-9ca8-1c6e9ba74364","resolution":{"observed_at":"2026-08-12T16:16:26.246128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04378","last_updated":"2023-10-06T17:11:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-06T17:11:58Z","title":"Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04378","snapshot_observed_at":"2026-08-12T16:16:26.249497Z","title":"Latent consistency models: Synthesizing high- resolution images with few-step inference","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.249497Z"},"links":{"cited_paper":"/paper/2310.04378","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:7b81f0389f330c839a8248c23c29e8c5782b42a64eb1c1e7b0b5f25b04f31724","observation_id":"1f004f15-5679-4c27-9c41-c738245f0c5a","resolution":{"observed_at":"2026-08-12T16:16:26.249497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18665","last_updated":"2025-02-23T08:50:33Z","snapshot_observed_at":"2026-08-16T00:08:23.767909Z","submitted_at":"2024-06-26T18:10:22Z","title":"RouteLLM: Learning to Route LLMs with Preference Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18665","snapshot_observed_at":"2026-08-12T16:16:26.252775Z","title":"Routellm: Learning to route llms with preference data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.252775Z"},"links":{"cited_paper":"/paper/2406.18665","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:55a277b36bff975e96225c28156f9f33e2e0552f4a84912ce5d98b66bc2d371d","observation_id":"65fe60ce-cf4d-4f86-b5d6-550f048ebcb9","resolution":{"observed_at":"2026-08-12T16:16:26.252775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-08-14T22:54:08.184266Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-12T16:16:26.255938Z","title":"Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.255938Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:b7cfc58f3f862fa56c0d946b53152c8faeda79cac1388f5209fddcd852b9e22d","observation_id":"4ac80c6c-7706-4417-9872-7085216a986a","resolution":{"observed_at":"2026-08-12T16:16:26.255938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.259171Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.259171Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:731e82e0b9157b34c8b567d7bd6e44cd292cbf486a70e12b8af7ae23056937e0","observation_id":"6a042203-0985-4ed3-8b75-33e0cdfa9b1e","resolution":{"observed_at":"2026-08-12T16:16:26.259171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.262876Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.262876Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:6a15601da897433b9861c621e1dc666834157c3edaf7dcddead24822a2fa4ae0","observation_id":"02ae24ef-7d91-4e35-8a57-4def54a41ddf","resolution":{"observed_at":"2026-08-12T16:16:26.262876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.265752Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.265752Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:a63c3da1b7b2d75e49d36c4dfe31dc188d74f4af2f00dba583c6cf6ffc993560","observation_id":"2776753e-f47e-484f-b5f0-ade1c9919f36","resolution":{"observed_at":"2026-08-12T16:16:26.265752Z","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":"2026-08-12T16:16:26.913486Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"6d1d33ab-b4dc-4867-8970-19ed61118c37","year":2022},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.269015Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:4f3dc65141a2520668e50a3086f001f0ff280d0515da06e5236d026dc535e207","observation_id":"e7f258ed-b406-4056-b005-a6bf68b1808f","resolution":{"observed_at":"2026-08-12T16:16:26.916688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.272056Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.272056Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:372e9216a7a48df3fc5c0948f2720b761ce5bf9ab2906a351d67a6a28b8413e6","observation_id":"e729cdeb-0713-4d4b-be4e-01cf8a9e1199","resolution":{"observed_at":"2026-08-12T16:16:26.272056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.275261Z","title":"Adversarial diffusion distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.275261Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:d32c007300fb3fcd18e34d4422172b80c6e8ad930d6ed089d9026fce53d54dd2","observation_id":"769e0ff0-8d0f-47b3-85b1-234ad35656ab","resolution":{"observed_at":"2026-08-12T16:16:26.275261Z","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":"2026-08-12T16:16:26.893730Z","title":"Laion-5b: An open large-scale dataset for training next generation image-text models","venue":null,"work_id":"ee73a7e3-c65f-4161-b89f-a049a3b16067","year":2022},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.278530Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:519530a00c988b990f23680f27d034edcd858590431ae67a9be6ee5c7be0651d","observation_id":"8ea0972d-c6e3-4106-9dab-15c9f6d1c0db","resolution":{"observed_at":"2026-08-12T16:16:26.897213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06538","last_updated":"2017-01-23T18:10:00Z","snapshot_observed_at":"2026-08-13T11:35:07.866136Z","submitted_at":"2017-01-23T18:10:00Z","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06538","snapshot_observed_at":"2026-08-12T16:16:26.282161Z","title":"Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.282161Z"},"links":{"cited_paper":"/paper/1701.06538","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:a3eaa166d0ce6f48ef1075a792f79144b8c4adc37d05161f46f4d0e683aa66ce","observation_id":"073601b5-d316-4429-a383-845aec27ae1c","resolution":{"observed_at":"2026-08-12T16:16:26.282161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15789","last_updated":"2023-09-27T17:08:40Z","snapshot_observed_at":"2026-08-16T14:57:08.067521Z","submitted_at":"2023-09-27T17:08:40Z","title":"Large Language Model Routing with Benchmark Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15789","snapshot_observed_at":"2026-08-12T16:16:26.285312Z","title":"Large language model routing with benchmark datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.285312Z"},"links":{"cited_paper":"/paper/2309.15789","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:6945f0ce90849046c2070868a26d0cc010f42714c950ce93a6d9cd7109c389cc","observation_id":"a52b7294-7e76-4cd7-88fe-e41f15149a60","resolution":{"observed_at":"2026-08-12T16:16:26.285312Z","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":"2026-08-12T16:16:26.884405Z","title":"Temporal dynamic quantization for dif- fusion models","venue":null,"work_id":"1e3e7d35-b6d6-459b-a18d-d3fe253d3f94","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.288517Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:74388cb600c73fd3da963ea51c89bd0f3724cc8c80c3b84fd047e487dec684f3","observation_id":"7d7b32f1-b5f7-419d-80d4-a989e3e37563","resolution":{"observed_at":"2026-08-12T16:16:26.887655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.874613Z","title":"Ex- ploring clip for assessing the look and feel of images","venue":null,"work_id":"3dcbe415-74d8-46ab-bd35-43f323b125cc","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.291995Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:0f40e828d3d51984bb42c5adf80dde74d22d6f44e4167ecbf3c0830fcd952fab","observation_id":"e4c17e9f-5d47-4423-9db2-4e2fca75a145","resolution":{"observed_at":"2026-08-12T16:16:26.878651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.864618Z","title":"Tabi: An efficient multi-level inference system for large language models","venue":null,"work_id":"787b1e63-5b79-4135-9d0f-ff3121f83f35","year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.295427Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:128ed7ccfcf704eff0b1f68255e07defb75fbe48c2e094e4a9bf41bda1e1eb47","observation_id":"a164147c-7458-4524-8383-ea269f227c5f","resolution":{"observed_at":"2026-08-12T16:16:26.868591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-12T16:16:26.855310Z","title":"T2i-scorer: Quantitative evaluation on text-to-image generation via fine-tuned large multi-modal models","venue":null,"work_id":"e13b4cf8-e09a-43ac-ab19-94203f1d7f7f","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.298512Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:afba480cd0726c9007baced21f8db9354a5bd62e5672c3560e402df4dc15c5d5","observation_id":"682abd8d-f7de-46cc-b022-1da77c91d0da","resolution":{"observed_at":"2026-08-12T16:16:26.858681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09341","last_updated":"2023-09-25T08:19:23Z","snapshot_observed_at":"2026-08-14T02:46:25.655503Z","submitted_at":"2023-06-15T17:59:31Z","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09341","snapshot_observed_at":"2026-08-12T16:16:26.301406Z","title":"Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.301406Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:44130b97ab26192cbd881508965b5a54fa6eb868d7411e2f5a79af53af9a98ea","observation_id":"ad6cee64-4b11-4772-95ff-e1ca9b3a3fe3","resolution":{"observed_at":"2026-08-12T16:16:26.301406Z","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":"2026-08-12T16:16:26.845795Z","title":"Multimodal large language models make text-to- image generative models align better","venue":null,"work_id":"7c53e86d-b89b-48e1-9c56-cfb778741064","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.305046Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:fcdb4c5ee879c8b141bd0bde38e7cb74ff0da8581fa5dafdc050d1b130fb3936","observation_id":"a1a23e0d-67ce-449a-866d-b1a0d498ac46","resolution":{"observed_at":"2026-08-12T16:16:26.849121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:16:26.308938Z","title":"Imagere- ward: Learning and evaluating human preferences for text- to-image generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.308938Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:15b482038673463bfc3f26c3674d9992312df8649094c3df241b6ca25e2b227b","observation_id":"688226f0-0554-46c3-83ba-9bc77782b209","resolution":{"observed_at":"2026-08-12T16:16:26.308938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03094","last_updated":"2024-02-08T22:02:22Z","snapshot_observed_at":"2026-08-16T14:55:00.404595Z","submitted_at":"2023-10-04T18:21:17Z","title":"Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03094","snapshot_observed_at":"2026-08-12T16:16:26.312423Z","title":"Large language model cascades with mixture of thoughts representations for cost-efficient reasoning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.312423Z"},"links":{"cited_paper":"/paper/2310.03094","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:8679908548b11e23267b2c2a34b44965a68ff850e895997769ec0f6640b86404","observation_id":"3c2a4795-43a4-4ff6-b1e9-d5fe82358eb2","resolution":{"observed_at":"2026-08-12T16:16:26.312423Z","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":"2026-08-12T16:16:26.831150Z","title":"Learning multi- dimensional human preference for text-to-image generation","venue":null,"work_id":"e22a34b1-d200-43bb-ba8c-5594b832f5f9","year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.315531Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:9cab2cd3e9ad673e0284d9e6d4b94ef59243e988aab449550c7c12b90612bf38","observation_id":"5597195e-9b4c-4a96-9ec6-14f2601a7a53","resolution":{"observed_at":"2026-08-12T16:16:26.834396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17873","last_updated":"2024-05-30T01:51:10Z","snapshot_observed_at":"2026-08-16T13:48:46.119775Z","submitted_at":"2024-05-28T06:50:58Z","title":"MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17873","snapshot_observed_at":"2026-08-12T16:16:26.318406Z","title":"Mixdq: Memory-efficient few-step text-to-image dif- fusion models with metric-decoupled mixed precision quan- tization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.318406Z"},"links":{"cited_paper":"/paper/2405.17873","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:31e0666fb108c5771c24c236b8d5644202e4fbbc0c0da66f3a0c029fd476b33e","observation_id":"a1c1490e-c7a0-4e41-a352-43014e1ae1d5","resolution":{"observed_at":"2026-08-12T16:16:26.318406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16567","last_updated":"2024-06-12T07:16:21Z","snapshot_observed_at":"2026-08-16T14:39:45.640109Z","submitted_at":"2023-11-28T07:14:41Z","title":"MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16567","snapshot_observed_at":"2026-08-12T16:16:26.322532Z","title":"Mobilediffusion: Subsecond text-to-image generation on mobile devices","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.322532Z"},"links":{"cited_paper":"/paper/2311.16567","citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:80aef8034a4af8fec7f463955e86ae6d61cd0626daddda4743e2c03e858ae175","observation_id":"21fd2b15-5290-4a82-9a29-1545af9728fc","resolution":{"observed_at":"2026-08-12T16:16:26.322532Z","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":"2026-08-12T16:16:26.822079Z","title":"High definition photo","venue":null,"work_id":"715826dd-70e5-4632-9a03-1d875fe7eb7e","year":2022},"citing_paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T16:16:26.325955Z"},"links":{"citing_paper":"/paper/2411.13787"},"observation_digest":"sha256:1b674894c7e3c91562f3921004ffcd712da515fe173808fe47df30a159b84be4","observation_id":"4ad48d31-7d78-49d7-9114-02dd1f0b82c2","resolution":{"observed_at":"2026-08-12T16:16:26.825448Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.13787","last_updated":"2025-08-21T05:25:55Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T05:11:21.146599Z","submitted_at":"2024-11-21T02:18:06Z","title":"Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":1,"verified_fuzzy":18},"total_outbound_references":45},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2411.13787."}