{"as_of":"2026-08-08T08:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:728e0995fb41160e1ea2fdd281361500e342040e6cabd3ec9a8d0beda5d768a7","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:15:43.994742Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-07-11T21:34:44.701020Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T02:36:27.289550Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"cited_work":{"arxiv_id":"2508.02107","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.02107","snapshot_observed_at":"2026-07-02T02:36:27.289550Z","title":"Autolora: Automatic lora retrieval and fine-grained gated fusion for text-to-image generation.arXiv preprint arXiv:2508.02107, 2025","venue":null,"work_id":"d84aefb7-5d85-4dbd-9b8f-bb9e8eaaf4f4","year":2025},"citing_paper":{"arxiv_id":"2606.03792","last_updated":"2026-06-02T15:42:09Z","snapshot_observed_at":"2026-07-06T23:44:00.144689Z","submitted_at":"2026-06-02T15:42:09Z","title":"Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T10:47:33.349484Z"},"links":{"cited_paper":"/paper/2508.02107","citing_paper":"/paper/2606.03792"},"observation_digest":"sha256:6edd876afea4281ffd2e0bb080b475770a53bf344d770c75907bb618c18edd98","observation_id":"9285ca40-34d0-40c4-9c91-794ed7f7c4fd","resolution":{"observed_at":"2026-07-02T02:36:27.291192Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.02107","snapshot_observed_at":"2026-07-11T21:34:44.701020Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04118","last_updated":"2026-07-05T05:11:24Z","snapshot_observed_at":"2026-08-03T10:31:23.728109Z","submitted_at":"2026-07-05T05:11:24Z","title":"Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-11T21:34:44.701020Z"},"links":{"cited_paper":"/paper/2508.02107","citing_paper":"/paper/2607.04118"},"observation_digest":"sha256:307ae263044444f46adfeead7e49c48e5c7ca7258be7f1d00a0233a7cf868b05","observation_id":"175a7558-3377-4e49-9fa9-435118d5ed4f","resolution":{"observed_at":"2026-07-11T21:34:44.701020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.02107/citation-record","integrity":"/paper/2508.02107/integrity","json":"/paper/2508.02107/citation-record.json","paper":"/paper/2508.02107"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:15:43.585327Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.585327Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:fe5a5e259b4943736b189e330186f2ba538ef0c1806790435e851ed3df8ee4ff","observation_id":"4e4f0142-9c30-49f5-b34e-9b9bdbeb9b10","resolution":{"observed_at":"2026-08-06T05:15:43.585327Z","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":"2026-08-06T05:15:43.602736Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.602736Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:397e68f47297e1fe72b6446742a524968502a1f7a0ca31138d080e3ffc182e9d","observation_id":"e82a527f-e261-44b8-a749-1028d359979f","resolution":{"observed_at":"2026-08-06T05:15:43.602736Z","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":"2026-08-06T05:15:44.859097Z","title":"X.; Gao, H.; Chen, D.; Li, J.; Zeng, W.; Yu, X.; Wu, Y.; Xie, Z.; Li, Y","venue":null,"work_id":"530762a9-f917-4b1e-8c01-d1794575a70e","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.621511Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:d02f57ea0238ed2f3f86bf0dd739be8b001073ffb6c386ab1cffb0fecebd3964","observation_id":"46ac754d-6775-4374-af2e-cd5a47770592","resolution":{"observed_at":"2026-08-06T05:15:44.870909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.813805Z","title":"H.; and Khan, F","venue":null,"work_id":"16d3e726-abea-47a3-aae1-cb505322b6c1","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.630331Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:d9d7b73ebb372888d8a01ea27c9b50f7af024380365e4e8050b4ffa8085f0e48","observation_id":"56160c0f-3a6b-4cfd-8b28-5c3a7a74ffd4","resolution":{"observed_at":"2026-08-06T05:15:44.841090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.778405Z","title":null,"venue":null,"work_id":"48ac59cb-fce5-455e-aa1f-51e3fcbdb566","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.645081Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:d4a2197c9e8ccadf535408a46e96ca81b7b8adc14a982bccfdf249505c2e6671","observation_id":"4377bdcc-b2a6-4617-9f5c-d02ec5a96831","resolution":{"observed_at":"2026-08-06T05:15:44.795247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.734233Z","title":null,"venue":null,"work_id":"4a3ede06-fbf7-4fd8-a476-1a4c8e6a6495","year":2022},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.656778Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:ed473c459cb3aad52fcdd888345e67906485f6ce36c10c83ac6d280731c060b6","observation_id":"14306420-9756-4d6e-b373-81bc95505ffc","resolution":{"observed_at":"2026-08-06T05:15:44.754543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-06T05:15:43.670173Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.670173Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:87d020dde6e4622e633a618a7e9432e2cc81f0951ee8812bc76719622a55bb21","observation_id":"0b8f7055-62bf-453f-a70a-705ce207e39b","resolution":{"observed_at":"2026-08-06T05:15:43.670173Z","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":"2026-08-06T05:15:44.701581Z","title":"Z.; Shi, Y.; Chen, Y.; Fan, Z.; Xiao, W.; Zhao, R.; Chang, S.; Wu, W.; Ge, Y.; Shan, Y.; and Shou, M","venue":null,"work_id":"5065069d-2974-4b25-816f-2c7ccec882bd","year":2023},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.683120Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:3fee4b9649d4883a4d616b3ef2a711223fd995322aa4359fb39ed090e7626064","observation_id":"a98e425c-deb0-4a33-8ede-635bb0bcc79e","resolution":{"observed_at":"2026-08-06T05:15:44.716545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.667516Z","title":"J.; Shen, Y.; Wallis, P.; Allen - Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W","venue":null,"work_id":"a0e603c0-efd3-4da3-967a-69fc02459d7d","year":2022},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.700514Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:59f0726914377387cf44460fb020439f63565679a4973ae0eb062e683dc7f20a","observation_id":"34da9398-3871-4234-8fa1-b7080933ea15","resolution":{"observed_at":"2026-08-06T05:15:44.679373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.639600Z","title":null,"venue":null,"work_id":"158ffdcf-c951-4a8c-8a2b-2f57f4c0bc0d","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.713346Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:20f23155f0775b35852f496c4146bb8064280be623abe987073a6702dd763e3a","observation_id":"824cfe19-c94d-4c6a-a71e-1232daeea85d","resolution":{"observed_at":"2026-08-06T05:15:44.648454Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.599316Z","title":null,"venue":null,"work_id":"b1a41c84-214f-437a-88f4-89947e9acf67","year":2021},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.732704Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:7b53364d24b304298df927deab872a7dde90516d8817c53a15307af62e1e173a","observation_id":"dafc22a5-30a6-4ca6-8f89-6ebedaa55ad7","resolution":{"observed_at":"2026-08-06T05:15:44.614484Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.565628Z","title":"u ttler, H.; Lewis, M.; Yih, W.; Rockt \\","venue":null,"work_id":"c432dc19-bf02-46a8-b316-dac81e0bdffa","year":2020},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.749744Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:0ee1644f502d40e8c6cc252b618f34a076d532515e96c804ce57405fc0daf4e1","observation_id":"931fb84a-0292-425f-8c03-d20c59c50233","resolution":{"observed_at":"2026-08-06T05:15:44.580290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.535461Z","title":null,"venue":null,"work_id":"7a03b551-618a-4e4b-8751-7b8bbc748708","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.764864Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:d008be9409de03230f90d35ffdc40195e4b3f10fc31403f123a54bcd13116a74","observation_id":"ca558a92-c1b1-4185-8d19-e253c1ea40ee","resolution":{"observed_at":"2026-08-06T05:15:44.545303Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.504911Z","title":null,"venue":null,"work_id":"080b0444-530f-4b66-b167-d7e72ebaadfd","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.776172Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:fe787dfc1abc3ae9a17990174ceb4fdd82fcc78f0b20caed644da7e080474820","observation_id":"1a6559d7-8eb4-4395-a164-aa1ead49e626","resolution":{"observed_at":"2026-08-06T05:15:44.512077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.469225Z","title":null,"venue":null,"work_id":"a551c731-f028-4e6c-974d-58a5eff82a47","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.787825Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:01f7514693a3be49f24a0ee2999194108b5698e1c8dd24801f672a1fc9d09ceb","observation_id":"beeaebbc-f16f-4014-9e56-86d4cb9051bf","resolution":{"observed_at":"2026-08-06T05:15:44.483394Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.438241Z","title":null,"venue":null,"work_id":"1027265a-8871-4981-a7cb-d0c3046bad7b","year":2025},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.799267Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:651f7853d03011ed66de9f738c7b789f4a448967d76fcf2d49a41763975e1157","observation_id":"4de9d751-ae07-42f8-b96c-e06a766e61ce","resolution":{"observed_at":"2026-08-06T05:15:44.451745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.399799Z","title":"B.; H \\\" a renstam - Nielsen, L.; Seg \\` u , M.; Dovesi, P","venue":null,"work_id":"ddf553a9-9d0c-4996-9022-fc10ed8ce38a","year":2025},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.815337Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:d72a9ad7ed5979012e5c0999a2ffa0bd9bb81ff0b365e8ad316951b119dc933b","observation_id":"cc305997-1e28-4cad-83c4-7ad891ca9a1a","resolution":{"observed_at":"2026-08-06T05:15:44.415157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.368333Z","title":"W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I","venue":null,"work_id":"215d29c2-3303-49f1-9c20-588800f1ebdd","year":2021},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.838823Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:391fc5fb77d74896d63a4bc664b94e67f8cd5fc5f81bb5125740ace4420425a5","observation_id":"d4bdf0ed-d454-4140-bfd2-5f7d4956980f","resolution":{"observed_at":"2026-08-06T05:15:44.381497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:43.856436Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.856436Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:256bd933177790db90e1d6dbc5d6893b7c48d2af90ecd0fb9c6ddc460d8e2275","observation_id":"8487a24e-e5dd-42c0-bd43-e1d252ca6d6f","resolution":{"observed_at":"2026-08-06T05:15:43.856436Z","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":"2026-08-06T05:15:44.323240Z","title":null,"venue":null,"work_id":"c742e2ec-295a-4d4b-a1e3-2115db6bec96","year":2022},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.873002Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:29ce6b6e640a2459421f6d4b182d8d6efb6718ac2824d7adb2e3eafd27abe302","observation_id":"3d47cb1f-e3b3-4f66-ab1f-a98c759c4ef7","resolution":{"observed_at":"2026-08-06T05:15:44.336274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.295781Z","title":null,"venue":null,"work_id":"a63f9c65-3140-4ae2-9c3b-39e66062d800","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.887758Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:370bdfe0f28b4ecee6609f7fc4d017d6f9877bdb53cdf5975ab8c190ba58b51f","observation_id":"d1104607-efc3-4efa-9bd1-2d30f2d54971","resolution":{"observed_at":"2026-08-06T05:15:44.308584Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.255774Z","title":null,"venue":null,"work_id":"ea30a132-0b11-4f49-be75-718c42a95873","year":2025},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.902074Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:c3328dfcba13f2da616dc7d252f3622243ac76bcc1e7b24d21f5b42775c166df","observation_id":"3d9da501-7533-41a3-a27c-119244c88eb4","resolution":{"observed_at":"2026-08-06T05:15:44.271761Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.221992Z","title":"J.; Montoya, E.; Munechika, D.; Yang, H.; Hoover, B.; and Chau, D","venue":null,"work_id":"f2234bb3-c9c8-4286-b6de-2dca8076c014","year":2023},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.916676Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:3e65adae5f10cad4a536eeab585b6879db8002412b8d9e2cc191613ace42811e","observation_id":"5265f7eb-f723-40b1-8ec7-475ad00d1fe2","resolution":{"observed_at":"2026-08-06T05:15:44.235620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09341","last_updated":"2023-09-25T08:19:23Z","snapshot_observed_at":"2026-07-06T15:43:07.989730Z","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":"2026-08-06T05:15:43.928739Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.928739Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:fd765bfc8adaea8fa1b2ef835e91e25b581bbe52399bfd7e2c5fcdae1a22620c","observation_id":"c5aa545c-b544-44e6-a236-78a040e18819","resolution":{"observed_at":"2026-08-06T05:15:43.928739Z","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":"2026-08-06T05:15:44.187033Z","title":null,"venue":null,"work_id":"89d9d149-32ef-4da3-8854-400e1a6b64be","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.940400Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:9a208774b4f7b258bb2c8581f4cec8e7738a61a3ea1c00b6ab0cf7ad3026a17e","observation_id":"450a4542-4fec-45d9-b0af-7d2327601650","resolution":{"observed_at":"2026-08-06T05:15:44.202198Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11627","last_updated":"2024-07-11T02:30:02Z","snapshot_observed_at":"2026-07-06T17:46:11.859512Z","submitted_at":"2024-03-18T09:58:52Z","title":"LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11627","snapshot_observed_at":"2026-08-06T05:15:43.951598Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.951598Z"},"links":{"cited_paper":"/paper/2403.11627","citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:9909c04666895b0bb18ec4115e275a51a4ef2186e616ea712246175dd3bbb317","observation_id":"a9a6211b-c32d-486e-86b9-5b31c201d81a","resolution":{"observed_at":"2026-08-06T05:15:43.951598Z","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":"2026-08-06T05:15:44.155761Z","title":null,"venue":null,"work_id":"fdb7cd7b-995b-4845-a18f-38e9b74d7706","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.965148Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:388276037dca9fe8b11570f1bf0bc626790f7b58348c0b0b26107fc36504c33b","observation_id":"8076ea4d-ccd4-4c83-8ef8-6e36c664af49","resolution":{"observed_at":"2026-08-06T05:15:44.168480Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T05:15:44.111274Z","title":null,"venue":null,"work_id":"78a043dc-1457-4e47-a316-2d0adbc4af9b","year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.976037Z"},"links":{"citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:f33bff4f420a8e3a0bd7f105a464eb984ab995296a3e98d0184665982e4bac65","observation_id":"a0600ca4-e8c9-4974-9a3f-50a25552f13a","resolution":{"observed_at":"2026-08-06T05:15:44.129130Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16989","last_updated":"2024-07-16T05:59:06Z","snapshot_observed_at":"2026-08-07T11:02:42.163743Z","submitted_at":"2024-06-24T05:24:41Z","title":"Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16989","snapshot_observed_at":"2026-08-06T05:15:43.994742Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T05:15:43.994742Z"},"links":{"cited_paper":"/paper/2406.16989","citing_paper":"/paper/2508.02107"},"observation_digest":"sha256:fe5639fe3e811284b4b309db7570b05d9447e42a0a9e673f0457adc7364211ba","observation_id":"66c9a4f9-85d7-4d04-a9d6-6a1d024b191c","resolution":{"observed_at":"2026-08-06T05:15:43.994742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.02107","last_updated":"2025-08-04T06:36:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T05:15:41.501689Z","submitted_at":"2025-08-04T06:36:00Z","title":"AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":20,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":29},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2508.02107."}