{"as_of":"2026-08-18T10:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36f23af144071bf62a28fb4eed10a2c8dc655a853e8bb12c2a7716a6666ecd12","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:53:52.338248Z","state":"measured"},{"denominator":62,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":62,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:04:55.318883Z","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":"2026-05-12T05:26:24.691404Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.01652","snapshot_observed_at":"2026-08-06T00:01:17.810853Z","title":"traditional East Asian melodies","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04416","last_updated":"2025-09-03T07:11:03Z","snapshot_observed_at":"2026-08-16T19:19:24.035883Z","submitted_at":"2025-08-06T13:03:21Z","title":"Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T00:01:17.810853Z"},"links":{"cited_paper":"/paper/2507.01652","citing_paper":"/paper/2508.04416"},"observation_digest":"sha256:5ee4d5c15c1cb69e104bee66fcc269110b7a8eaefcc4c8fb53628d2ae43e9174","observation_id":"b08d946e-b2e5-4dc2-ace7-5b1c264ee31b","resolution":{"observed_at":"2026-08-06T00:01:17.810853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.01652","snapshot_observed_at":"2026-08-06T00:04:55.318883Z","title":"traditional East Asian melodies","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04418","last_updated":"2025-08-06T13:05:09Z","snapshot_observed_at":"2026-08-14T20:34:44.015787Z","submitted_at":"2025-08-06T13:05:09Z","title":"Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T00:04:55.318883Z"},"links":{"cited_paper":"/paper/2507.01652","citing_paper":"/paper/2508.04418"},"observation_digest":"sha256:09bff245cc1a6410e06d2e991b608b218fd7bacb3e669b594a05c2acc1cce214","observation_id":"53e14b0e-dad7-493c-9f19-f6dbff676719","resolution":{"observed_at":"2026-08-06T00:04:55.318883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"cited_work":{"arxiv_id":"2507.01652","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.01652","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2507.01652 , year =","venue":null,"work_id":"af6ea67e-b367-4f32-914a-5bf2a2f02476","year":null},"citing_paper":{"arxiv_id":"2605.10547","last_updated":"2026-05-11T13:24:15Z","snapshot_observed_at":"2026-08-14T22:28:27.028265Z","submitted_at":"2026-05-11T13:24:15Z","title":"PhysEDA: Physics-Aware Learning Framework for Efficient EDA With Manhattan Distance Decay","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-12T05:23:03.852729Z"},"links":{"cited_paper":"/paper/2507.01652","citing_paper":"/paper/2605.10547"},"observation_digest":"sha256:50a9dc26ebf6869eb360eadf96f6d9353f0989fd3bb7673b53f49831e3c4c09a","observation_id":"58cd5239-ff29-413a-9f10-cc77a2cca64a","resolution":{"observed_at":"2026-05-12T05:26:24.697090Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.01652/citation-record","integrity":"/paper/2507.01652/integrity","json":"/paper/2507.01652/citation-record.json","paper":"/paper/2507.01652"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:53:58.035278Z","title":"Diffusion models beat gans on image synthesis.Conference on Neural Infor- mation Processing Systems (NeurIPS), 34:8780–8794, 2021","venue":null,"work_id":"99805f1d-0814-4c44-8de1-e64454f784ae","year":2021},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:47.809725Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:380f9576743762d78d43da6e932745f415d1b8894a6236f66a9a4000b84dbe8f","observation_id":"20860b13-d022-40a2-845d-a3b7bd7e98cc","resolution":{"observed_at":"2026-08-06T20:53:58.113638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:57.877245Z","title":"Cascaded diffusion models for high fidelity image generation.Journal of Ma- chine Learning Research (JMLR), 23(1):2249–2281, 2022","venue":null,"work_id":"3590ddbf-b261-43e0-915e-7b1ee36e0060","year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:47.867397Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:ea6e1762c941643e202baff64c2f84c6c3c934e16a7c89f6e521a7510e2e3c8a","observation_id":"a4db18ec-b2ff-4bc5-a7cf-9114bd9189ab","resolution":{"observed_at":"2026-08-06T20:53:57.928780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:57.720825Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":"b57fa4fc-bcd4-418f-8dbb-8b223d5f57a9","year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:47.955125Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:e1ecf51d0467994dd8920964063b0a01ab9d065ad16477296371555561e45f95","observation_id":"713ce1ba-2fe7-4ccc-9d2a-a32e9869ca1d","resolution":{"observed_at":"2026-08-06T20:53:57.778160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:57.566629Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":"237e9c36-7739-42f7-a20b-1b9bee0e9ead","year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.077009Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:b5c8e6c12acd4a84f49da72b2024cd4b09f943492a094d80f7adbce9b71f8efc","observation_id":"6730df90-d562-4292-910b-5dd2b8069df8","resolution":{"observed_at":"2026-08-06T20:53:57.637360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:57.432918Z","title":"Tavg- bench: Benchmarking text to audible-video generation","venue":null,"work_id":"fe9134ae-515f-4251-911c-3efd68b66c4b","year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.172909Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:25142b325e781b418e4dba8773553250540d69368b0e92818054c57b28c4f836","observation_id":"59092473-0440-493f-ba67-9efca368794c","resolution":{"observed_at":"2026-08-06T20:53:57.502256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06525","last_updated":"2024-06-10T17:59:52Z","snapshot_observed_at":"2026-08-13T22:05:34.844117Z","submitted_at":"2024-06-10T17:59:52Z","title":"Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06525","snapshot_observed_at":"2026-08-06T20:53:48.265514Z","title":"Autoregressive model beats diffusion: Llama for scalable image generation.arXiv preprint arXiv:2406.06525, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.265514Z"},"links":{"cited_paper":"/paper/2406.06525","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:2831351d9724259a189e689d874e56e60d4c34f3ab069afa3b4f25939611e757","observation_id":"fc43366e-f33a-4e6d-8c35-aa1975925352","resolution":{"observed_at":"2026-08-06T20:53:48.265514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.21022","last_updated":"2024-05-31T17:09:16Z","snapshot_observed_at":"2026-08-16T13:47:20.464354Z","submitted_at":"2024-05-31T17:09:16Z","title":"You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.21022","snapshot_observed_at":"2026-08-06T20:53:48.387966Z","title":"You only scan once: Efficient multi-dimension sequential modeling with lightnet.arXiv preprint arXiv:2405.21022, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.387966Z"},"links":{"cited_paper":"/paper/2405.21022","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:e299c6b1659e6f4d7710c407704bcd923858ae5cc81479073c36a080230a3c99","observation_id":"be2f1aaf-2865-4c2d-9729-362f68ebe5ae","resolution":{"observed_at":"2026-08-06T20:53:48.387966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.11096","last_updated":"2019-02-25T21:32:06Z","snapshot_observed_at":"2026-07-06T07:04:57.275371Z","submitted_at":"2018-09-28T15:38:49Z","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.11096","snapshot_observed_at":"2026-08-06T20:53:48.529907Z","title":"Large scale gan training for high fidelity natural image synthesis","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.529907Z"},"links":{"cited_paper":"/paper/1809.11096","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:1acaeddccf702599ce0fb0245e951d37572ba6235b06ad2871a538dbd1574a28","observation_id":"3ab39326-3430-4716-a016-0925a67bc04f","resolution":{"observed_at":"2026-08-06T20:53:48.529907Z","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":"2026-08-06T20:53:57.313218Z","title":"Scaling up gans for text-to-image synthesis","venue":null,"work_id":"3f51834f-a305-4679-a576-be4737247736","year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.659182Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:ca9914e16ff527a6165a71242a2f85c8215c293e8dc5a389f07eb84a01639b70","observation_id":"8373a724-4999-4a45-94f4-a06ee343b623","resolution":{"observed_at":"2026-08-06T20:53:57.363002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:57.176677Z","title":"Stylegan- xl: Scaling stylegan to large diverse datasets","venue":null,"work_id":"857dc0a6-07cd-4c31-bd3d-40e5f56f54d6","year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.779451Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:4c750e12026249639661dabb284d84410cd5fadfab014e49a2d4b384d4e7f670","observation_id":"418a27cd-3708-4c48-9480-f8a15751f449","resolution":{"observed_at":"2026-08-06T20:53:57.226038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:57.047313Z","title":"Denoising diffu- sion probabilistic models.Conference on Neural Information Processing Systems (NeurIPS), 33:6840–6851, 2020","venue":null,"work_id":"d2e89162-968a-417a-9e91-94b568f11a4f","year":2020},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:48.901276Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:40e6daa685d4eada588f55583c715b46eebd4bc1e3def315f9f0a5b72cc4dea9","observation_id":"e1649975-2636-4397-a9d5-d077606262f6","resolution":{"observed_at":"2026-08-06T20:53:57.113751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T20:53:49.006401Z","title":"Llama: Open and efficient foundation language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.006401Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:d63590669a79ffe6b2017cd14a9d445e54abc757f752977c426e1aa4bee563d8","observation_id":"97bdcd06-9207-4f69-b87b-967c74080a4c","resolution":{"observed_at":"2026-08-06T20:53:49.006401Z","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":"2026-08-06T20:53:49.072697Z","title":"Improving language understanding by gen- erative pre-training","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.072697Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:c5b925f6befc15fdeddcc4e6032c7f116a9af076a37e8f49709931484a00a9c8","observation_id":"91cca3e4-7f2a-4853-b9b8-0a56ec0ebba0","resolution":{"observed_at":"2026-08-06T20:53:49.072697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-15T17:27:11.980940Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-06T20:53:49.201502Z","title":"Deepseek-v3 technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.201502Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:175e747a9813a3789e7f682b8cc6584196e139a446581120c947bd5cf39fc481","observation_id":"440a119e-717c-40da-85e6-3abf277bd6be","resolution":{"observed_at":"2026-08-06T20:53:49.201502Z","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":"2026-08-06T20:53:56.914094Z","title":"Attention is all you need.Conference on Neural Information Processing Systems (NeurIPS), 30, 2017","venue":null,"work_id":"7fc4cb0e-fb93-496d-899e-ed589f23a444","year":2017},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.264842Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:da1c8689285e717abf0123003f88210b820ee87c2293f8c29b4fe08d49f46dbd","observation_id":"8e9a6f3d-9eef-4fdc-9e0d-56262d72dc0d","resolution":{"observed_at":"2026-08-06T20:53:56.954962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16690","last_updated":"2024-06-24T14:51:31Z","snapshot_observed_at":"2026-08-16T13:40:06.465951Z","submitted_at":"2024-06-24T14:51:31Z","title":"Scaling Laws for Linear Complexity Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16690","snapshot_observed_at":"2026-08-06T20:53:49.345780Z","title":"Scaling laws for linear complexity language models.arXiv preprint arXiv:2406.16690, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.345780Z"},"links":{"cited_paper":"/paper/2406.16690","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:1ad3f1d64a9658977c5d3b72185bf09ffbd27cdbe11bf370f839993bf572370a","observation_id":"432c101f-d92f-4887-b0d2-2eeb22130f23","resolution":{"observed_at":"2026-08-06T20:53:49.345780Z","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":"2026-08-06T20:53:56.772333Z","title":"Various lengths, constant speed: Ef- ficient language modeling with lightning attention","venue":null,"work_id":"e9165fdb-28f9-4c63-9950-b359211607da","year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.431659Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:22a61c9ffdb1173fe66aacdc36f350df78222cf47efdc661eab34401b3afe945","observation_id":"b0ac3d41-214f-40fa-b460-fc46b753bb74","resolution":{"observed_at":"2026-08-06T20:53:56.832953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08313","last_updated":"2025-01-14T18:50:05Z","snapshot_observed_at":"2026-08-13T08:34:05.764059Z","submitted_at":"2025-01-14T18:50:05Z","title":"MiniMax-01: Scaling Foundation Models with Lightning Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.08313","snapshot_observed_at":"2026-08-06T20:53:49.499466Z","title":"Minimax-01: Scaling foundation models with lightning attention.arXiv preprint arXiv:2501.08313, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.499466Z"},"links":{"cited_paper":"/paper/2501.08313","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:a16738a28183e749e1b022319a215d4eeae133e5f63bf6fd1440b89243d754e1","observation_id":"d09ba383-8686-477c-913a-a3c5f3a72e66","resolution":{"observed_at":"2026-08-06T20:53:49.499466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19887","last_updated":"2024-07-03T14:30:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-28T23:55:06Z","title":"Jamba: A Hybrid Transformer-Mamba Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19887","snapshot_observed_at":"2026-08-06T20:53:49.564325Z","title":"Jamba: A hybrid transformer-mamba language model.arXiv preprint arXiv:2403.19887, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.564325Z"},"links":{"cited_paper":"/paper/2403.19887","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:375c98215143476abacbfbfdac56f12f557a4576bf565ec3c3e49e120abaf931","observation_id":"8b651afc-4782-45ac-8eb7-75106f0e50af","resolution":{"observed_at":"2026-08-06T20:53:49.564325Z","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":"2026-08-06T20:53:56.643859Z","title":"Transformers are rnns: Fast autoregres- sive transformers with linear attention","venue":null,"work_id":"682021fe-86d5-4a7e-97f2-381a8bf63f79","year":2020},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.617261Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:78b20fa8f7eae9d3575e463d407daa5011f45d01828fbdd3eeb3c65052952304","observation_id":"dfdc79ad-b7ff-4ed1-97a0-324df561e2ed","resolution":{"observed_at":"2026-08-06T20:53:56.690420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:56.510373Z","title":"cosformer: Rethinking softmax in attention","venue":null,"work_id":"a8d56a2f-e4d2-4374-807b-84cb57e8a665","year":null},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.685505Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:d6c8e00cb24e6e748469e39d5f28626f568e7ab9ab6017e243f8f57aaa9a7a19","observation_id":"18f3efcb-dce6-421e-a7f1-b5ad54142dec","resolution":{"observed_at":"2026-08-06T20:53:56.564784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06635","last_updated":"2024-08-27T01:27:29Z","snapshot_observed_at":"2026-08-17T21:47:46.144942Z","submitted_at":"2023-12-11T18:51:59Z","title":"Gated Linear Attention Transformers with Hardware-Efficient Training","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06635","snapshot_observed_at":"2026-08-06T20:53:49.744104Z","title":"Gated linear attention trans- formers with hardware-efficient training.arXiv preprint arXiv:2312.06635, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.744104Z"},"links":{"cited_paper":"/paper/2312.06635","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:34cf38dd74a5f1cfab6bb29bfe523bbb308d8ae1167cf781c28d92ddfe036add","observation_id":"c8e7b4e4-ca2e-4fa4-84e8-de1db2da8fdf","resolution":{"observed_at":"2026-08-06T20:53:49.744104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08621","last_updated":"2023-08-09T08:53:08Z","snapshot_observed_at":"2026-08-02T13:21:32.251959Z","submitted_at":"2023-07-17T16:40:01Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.08621","snapshot_observed_at":"2026-08-06T20:53:49.813545Z","title":"Retentive 9 network: A successor to transformer for large language mod- els.arXiv preprint arXiv:2307.08621, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.813545Z"},"links":{"cited_paper":"/paper/2307.08621","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:29f09e6ce149ef910258f66cdce9ec4de67791cf21460b17ba28de7e722f048f","observation_id":"3e9dba9c-218b-4101-8b18-a40041e754f6","resolution":{"observed_at":"2026-08-06T20:53:49.813545Z","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":"2026-08-06T20:53:56.391877Z","title":"Hierarchi- cally gated recurrent neural network for sequence model- ing.Conference on Neural Information Processing Systems (NeurIPS), 36, 2024","venue":null,"work_id":"42753b50-7ff0-420d-af91-30f6008dd215","year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.893409Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:1caec60bf4d8709fd9932987afbc1a8782d31743769ade871108afc5ee0a8a1d","observation_id":"51e4888c-1a75-4931-bf6d-5bc24ea002bf","resolution":{"observed_at":"2026-08-06T20:53:56.453118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07904","last_updated":"2024-08-19T17:16:55Z","snapshot_observed_at":"2026-08-16T14:01:40.481918Z","submitted_at":"2024-04-11T16:43:03Z","title":"HGRN2: Gated Linear RNNs with State Expansion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07904","snapshot_observed_at":"2026-08-06T20:53:49.949048Z","title":"Hgrn2: Gated linear rnns with state expansion.arXiv preprint arXiv:2404.07904,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:49.949048Z"},"links":{"cited_paper":"/paper/2404.07904","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:5f9546ac4da3e17a4f455798f75e74e0f28604b371230f4a1166a1f78ef73a16","observation_id":"573992a7-f2eb-43aa-b04e-c85c2dff66dd","resolution":{"observed_at":"2026-08-06T20:53:49.949048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13585","last_updated":"2025-06-16T15:08:02Z","snapshot_observed_at":"2026-08-13T22:06:45.477681Z","submitted_at":"2025-06-16T15:08:02Z","title":"MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13585","snapshot_observed_at":"2026-08-06T20:53:50.028630Z","title":"Minimax-m1: Scaling test-time com- pute efficiently with lightning attention.arXiv preprint arXiv:2506.13585, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.028630Z"},"links":{"cited_paper":"/paper/2506.13585","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:b93f089cccc72ae218dfdeb7ff8b138ba491fd3f760b1824fd4fbdf6a5279501","observation_id":"43291e7d-ffaf-4d78-9ece-fb7657e46066","resolution":{"observed_at":"2026-08-06T20:53:50.028630Z","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":"2026-08-06T20:53:56.222688Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"f4744473-da37-4b47-abcd-ec8453cf1fc3","year":2009},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.107818Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:d3e5514f5e22056982fd34364f1aeee9cc8c510a9680db665c123e4c073ba8c4","observation_id":"98a97f1e-d66e-4552-8af2-d18991f9ed6d","resolution":{"observed_at":"2026-08-06T20:53:56.291873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:56.049897Z","title":"Maskgit: Masked generative image transformer","venue":null,"work_id":"3dc18903-51ba-4a72-88cc-bbfbd69f5c19","year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.159773Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:2b64c38da8502124f5ecb2e4786679f0096fd0b26cedb83f811d21c7b195e691","observation_id":"6f183138-0cb0-4b17-b7cd-dd458a7bf05e","resolution":{"observed_at":"2026-08-06T20:53:56.135083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:55.905580Z","title":"Mage: Masked generative encoder to unify representation learning and image synthe- sis","venue":null,"work_id":"f7a17bdd-9c86-4555-894e-3572aa1a3464","year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.231076Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:c6c438387f2b97b93cfcc49f2fcbc8186e07ecc21078c750373731ed045973d3","observation_id":"1653b923-7c5a-41c8-8fbf-955f76b6ab9e","resolution":{"observed_at":"2026-08-06T20:53:55.983438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:55.762397Z","title":"Autoregressive image generation without vec- tor quantization.Conference on Neural Information Process- ing Systems (NeurIPS), 37:56424–56445, 2025","venue":null,"work_id":"eb2221f1-77d8-4366-9fea-545585181cd3","year":2025},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.298048Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:c811ee5f55c7a2f75cdfbd7f3bfc8fc73f86bf870f0f7a473574b5f5fdb15a16","observation_id":"2a5636f9-b8be-443c-8a9a-27c3cdaf561b","resolution":{"observed_at":"2026-08-06T20:53:55.828870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:55.612926Z","title":"Magvit: Masked generative video transformer","venue":null,"work_id":"20191b7c-9134-4514-88cc-d6aa6552a4e6","year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.356867Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:d3b3fd6ce8659d13f0c7a546f2b98a413f5dbe614c9662907d2abd009e3b999f","observation_id":"69d18f33-3ea2-45db-a8bc-744330a8e3eb","resolution":{"observed_at":"2026-08-06T20:53:55.679552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:55.462421Z","title":"Bert: Pre-training of deep bidirectional trans- formers for language understanding","venue":null,"work_id":"8b35952a-b524-4a0d-ab3c-58a6ea8ddf96","year":2019},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.410583Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:da82a640460c53e858612dbc739d1d1ece76e0d13649dc99339c98cd33dd8d43","observation_id":"d871d5e7-2038-4a5b-b170-1b8f5f0485f4","resolution":{"observed_at":"2026-08-06T20:53:55.532155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:55.307828Z","title":"Taming transformers for high-resolution image synthesis","venue":null,"work_id":"2cf85d84-56be-4263-b69f-de3cc9248616","year":2021},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.481269Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:669b0f6dbb195ae2ea798d4952edf87a4dbabbe270adc4caf5b0305e5b16dcec","observation_id":"52c42260-25d3-4676-9ad6-0b22ab95ec51","resolution":{"observed_at":"2026-08-06T20:53:55.386191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04627","last_updated":"2022-06-05T01:57:58Z","snapshot_observed_at":"2026-08-17T22:14:12.219954Z","submitted_at":"2021-10-09T18:36:00Z","title":"Vector-quantized Image Modeling with Improved VQGAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.04627","snapshot_observed_at":"2026-08-06T20:53:50.536909Z","title":"Vector-quantized image modeling with improved vqgan.arXiv preprint arXiv:2110.04627, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.536909Z"},"links":{"cited_paper":"/paper/2110.04627","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:de19d101b106cc12882880cb526d72dac85b2b648d93fdc12f8ff12cbc0af4a5","observation_id":"215b9d88-e3d4-4743-a305-6659cc34e6ab","resolution":{"observed_at":"2026-08-06T20:53:50.536909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-06T20:53:50.597005Z","title":"Auto-encoding varia- tional bayes.arXiv preprint arXiv:1312.6114, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.597005Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:d43682bb24a60cb956f13cdf915b380fdd7c9bfb55f4dc7936c4500e116368ac","observation_id":"557df913-c271-4ba1-9ebc-656c75e99105","resolution":{"observed_at":"2026-08-06T20:53:50.597005Z","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":"2026-08-06T20:53:55.180056Z","title":"Neural discrete representation learning.Conference on Neural Information Processing Systems (NeurIPS), 30, 2017","venue":null,"work_id":"857693f6-ebe4-4b96-8110-4da464b4615e","year":2017},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.660730Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:d23978c62b670df21e67a94d495f8c4bddd3f83ed52b8b89900110efbc2d2c4b","observation_id":"5a3d153e-4542-4907-b772-e6ed5fb2cf5f","resolution":{"observed_at":"2026-08-06T20:53:55.239288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02905","last_updated":"2024-06-10T17:59:07Z","snapshot_observed_at":"2026-08-16T14:03:52.109479Z","submitted_at":"2024-04-03T17:59:53Z","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02905","snapshot_observed_at":"2026-08-06T20:53:50.735276Z","title":"Visual autoregressive modeling: Scalable im- age generation via next-scale prediction.arXiv preprint arXiv:2404.02905, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.735276Z"},"links":{"cited_paper":"/paper/2404.02905","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:4d51178f9555f88989f6ce64310c52d01f75a90543f93fc2e3c2e17b588c006f","observation_id":"5cdea1a8-c53a-44ee-8b72-d77010d5c024","resolution":{"observed_at":"2026-08-06T20:53:50.735276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15119","last_updated":"2025-04-03T02:34:24Z","snapshot_observed_at":"2026-08-16T08:29:08.547642Z","submitted_at":"2024-12-19T17:59:54Z","title":"Parallelized Autoregressive Visual Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15119","snapshot_observed_at":"2026-08-06T20:53:50.800900Z","title":"Parallelized autoregressive visual generation.arXiv preprint arXiv:2412.15119, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.800900Z"},"links":{"cited_paper":"/paper/2412.15119","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:9255742fdecac4bb47cd3222435ab91d734a105e56b1888be09299f7b06dcb32","observation_id":"9782eed2-17ba-486d-b000-3d39baf17dd3","resolution":{"observed_at":"2026-08-06T20:53:50.800900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15321","last_updated":"2025-03-19T06:16:54Z","snapshot_observed_at":"2026-08-17T04:00:01.334302Z","submitted_at":"2024-12-19T18:59:36Z","title":"Next Patch Prediction for Autoregressive Visual Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15321","snapshot_observed_at":"2026-08-06T20:53:50.885357Z","title":"Next patch prediction for autoregressive visual generation.arXiv preprint arXiv:2412.15321, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.885357Z"},"links":{"cited_paper":"/paper/2412.15321","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:7966df3bad524b4eab56bad572b8ce81f1775f52402d5797fc9d0ea3ebee5676","observation_id":"b1206060-f4c2-4603-a6da-2288fef146a0","resolution":{"observed_at":"2026-08-06T20:53:50.885357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04062","last_updated":"2025-06-29T07:13:36Z","snapshot_observed_at":"2026-08-14T01:36:02.031381Z","submitted_at":"2024-12-05T10:57:08Z","title":"ZipAR: Parallel Auto-regressive Image Generation through Spatial Locality","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04062","snapshot_observed_at":"2026-08-06T20:53:50.949769Z","title":"Zipar: Accelerating au- toregressive image generation through spatial locality.arXiv preprint arXiv:2412.04062, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:50.949769Z"},"links":{"cited_paper":"/paper/2412.04062","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:5bde7d5030e1d5a08bcc321964903012eea57e4a1564032b64d2c05dfb496295","observation_id":"e6f24d10-35e4-40ec-bec7-d55522b0425e","resolution":{"observed_at":"2026-08-06T20:53:50.949769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01756","last_updated":"2024-12-03T20:32:52Z","snapshot_observed_at":"2026-08-16T13:13:16.202764Z","submitted_at":"2024-10-02T17:06:39Z","title":"ImageFolder: Autoregressive Image Generation with Folded Tokens","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01756","snapshot_observed_at":"2026-08-06T20:53:51.001183Z","title":"Imagefolder: Autoregres- sive image generation with folded tokens.arXiv preprint arXiv:2410.01756, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.001183Z"},"links":{"cited_paper":"/paper/2410.01756","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:ed63132c5387b0588199de636bdce3aec3235d6e6708d755e852212a7bdefc70","observation_id":"94441927-3fba-4097-aa24-4d85323b66dd","resolution":{"observed_at":"2026-08-06T20:53:51.001183Z","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":"2026-08-06T20:53:51.053425Z","title":"Scalable autoregressive image generation with mamba.arXiv preprint arXiv:2408.12245,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.053425Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:bc1e3bad1ff856147886d4adad4f321e2349743f71bff75639e3273a57650939","observation_id":"31ce2303-2f6b-4bb5-9450-faac9089c934","resolution":{"observed_at":"2026-08-06T20:53:51.053425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16257","last_updated":"2024-10-21T17:57:04Z","snapshot_observed_at":"2026-08-16T13:07:17.499310Z","submitted_at":"2024-10-21T17:57:04Z","title":"Elucidating the design space of language models for image generation","version":1},"cited_work":{"arxiv_id":"2410.16257","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.16257","snapshot_observed_at":"2026-08-06T20:53:52.517205Z","title":"Elucidating the design space of language models for image generation","venue":"cs.CV","work_id":"5b552331-e260-4e69-b540-e3c576c9360c","year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.142879Z"},"links":{"cited_paper":"/paper/2410.16257","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:65ba893f595bb42042e0d1ed539ae998af6152a83eebc27af6633c2a9e2cdbf5","observation_id":"d0c06f97-3046-41d1-ad39-e1e7fea46258","resolution":{"observed_at":"2026-08-06T20:53:52.571526Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:55.004100Z","title":"Random feature atten- tion","venue":null,"work_id":"43b089d4-d536-4711-aa96-1d22f5243939","year":2020},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.216791Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:16dd93abce7c1e253d481c81393f4744407015bc70bb7f506885f412ae689c7c","observation_id":"156fee4c-55c2-4d2f-866b-6dc7d2aa454f","resolution":{"observed_at":"2026-08-06T20:53:55.097129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:54.833157Z","title":"Rethinking attention with perform- ers","venue":null,"work_id":"064d44eb-cc85-4b4e-9b1a-f0aabcf325a6","year":2020},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.277217Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:baedceaf9866d8955dba953ea9afaa60512cc0f92117cd780ee4e80e37d45a18","observation_id":"28e5e51f-bc0b-4a4a-9526-76b9c1b90d02","resolution":{"observed_at":"2026-08-06T20:53:54.907326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:54.616846Z","title":"The devil in linear transformer","venue":null,"work_id":"803d3503-a34f-47cd-8185-572ce6ef591f","year":null},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.355091Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:009b8dd66e6a8df0a63c5ce13d38569539b5f4dd3b52738d444eaaece14038e4","observation_id":"82e5f3c3-e3d2-47ba-af54-3422b96291bf","resolution":{"observed_at":"2026-08-06T20:53:54.716031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.14995","last_updated":"2024-01-19T07:47:01Z","snapshot_observed_at":"2026-08-16T15:12:45.594763Z","submitted_at":"2023-07-27T16:45:33Z","title":"TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.14995","snapshot_observed_at":"2026-08-06T20:53:51.424146Z","title":"Transnormerllm: A faster and better large language model with improved transnormer","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.424146Z"},"links":{"cited_paper":"/paper/2307.14995","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:714e1fd766e1d1a21b128d2f34c7d32742e92b76acff55a96c119a3fe532d32c","observation_id":"de10f394-71f8-4b84-abee-5b99a3ced245","resolution":{"observed_at":"2026-08-06T20:53:51.424146Z","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":"2026-08-06T20:53:54.443138Z","title":"Improving the gating mechanism of re- current neural networks, 2020","venue":null,"work_id":"ab04b11d-7c66-4308-b602-efc3890823c8","year":2020},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.480635Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:38acf4af1e68a622ebdbccebbef1ad15d65405757571bb9f4cc9f9a2c9799c8a","observation_id":"fcf79186-e80e-4991-924b-ff205854cdb5","resolution":{"observed_at":"2026-08-06T20:53:54.505043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-08-17T20:47:46.242385Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-06T20:53:51.565972Z","title":"Mamba: Linear-time sequence modeling with selective state spaces.arXiv preprint arXiv:2312.00752, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.565972Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:5bd91a5240ddcc442e277738e769633553a8044e30c01ccb369b8d044fc84531","observation_id":"166313c5-33ed-4ad3-91d1-80e29bbac9bd","resolution":{"observed_at":"2026-08-06T20:53:51.565972Z","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":"2026-08-06T20:53:54.297684Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Conference on Neural Information Processing Systems (NeurIPS), 30, 2017","venue":null,"work_id":"539dd41f-ec40-4e25-a02d-d1ab23cd77de","year":2017},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.653501Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:25440afac5eeddd9c79fd5ac4501ace800c04485112b46bbf94013821d6dad81","observation_id":"d75e2aa7-6134-4d99-a86b-85c530fb4df4","resolution":{"observed_at":"2026-08-06T20:53:54.358010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:54.168233Z","title":"Improved techniques for training gans.Conference on Neural Information Pro- cessing Systems (NeurIPS), 29, 2016","venue":null,"work_id":"1ce84d8a-1bf1-4092-9101-f9eba1eb853e","year":2016},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.727336Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:24712ee94224bcca772b185a9c4bd4084130b9b9ed8ecb5476d376000fc05a47","observation_id":"3f77c835-85cf-499a-9d9d-c48d213d60b6","resolution":{"observed_at":"2026-08-06T20:53:54.232101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:54.032617Z","title":"Improved precision and recall met- ric for assessing generative models.Conference on Neural Information Processing Systems (NeurIPS), 32, 2019","venue":null,"work_id":"73846e33-e1e4-4bad-9e1c-af3fc1055471","year":2019},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.788925Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:734b8b3f9a953edf714388916c25c0c07c04550d437c66c58ed27fb5bc5a18f1","observation_id":"f9b9c877-bd90-4699-a344-950465f151d4","resolution":{"observed_at":"2026-08-06T20:53:54.094675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:53.843123Z","title":"Diffusion models beat gans on image synthesis.Conference on Neural Infor- mation Processing Systems (NeurIPS), 34:8780–8794, 2021","venue":null,"work_id":"a98e2045-1d04-452a-824c-5b70a44e7274","year":2021},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.868759Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:fc3d3dcd5551dc43344496247399ad6cc23ead820f8131c17de40241bca1ec01","observation_id":"7767b5a7-eb76-4de7-b539-110ceb7cd6fe","resolution":{"observed_at":"2026-08-06T20:53:53.925848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-06T20:53:51.932955Z","title":"Classifier-free diffusion guidance.arXiv preprint arXiv:2207.12598, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:51.932955Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:f817f328975badccd82fabf8963aa2781e57a2fea745ac0a09d21162818cb757","observation_id":"4989efe2-218c-48d0-b02b-76e1e3e46b4b","resolution":{"observed_at":"2026-08-06T20:53:51.932955Z","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":"2026-08-06T20:53:53.671255Z","title":"Fla: A triton-based library for hardware-efficient implementations of linear attention mech- anism, January 2024","venue":null,"work_id":"c157344e-67e7-4410-bbed-6f6219649a58","year":2024},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:52.007505Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:367488155dac0e9438f44b09f3fdc4c30849837c27b8d1199644c85c457f7f42","observation_id":"025c2251-894b-4587-9c97-3f2353803260","resolution":{"observed_at":"2026-08-06T20:53:53.732039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:52.090642Z","title":"Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:52.090642Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:125a5d5b45695e9779c04c3d420620a621c3f3aba3a21dd91b6c175665fceaaf","observation_id":"11db7111-ef47-43ef-a494-2b3b85b04650","resolution":{"observed_at":"2026-08-06T20:53:52.090642Z","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":"2026-08-06T20:53:53.482232Z","title":"Taming transformers for high-resolution image synthesis","venue":null,"work_id":"2c19bb4a-c7f9-404e-8a4c-876ec47cbb4a","year":2021},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:52.158725Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:5d9614ad5ad28afc64d8471f3964deab943d270e61a7cce72d0005380434b354","observation_id":"199bdc8a-b96f-4619-adbf-e47434abffd9","resolution":{"observed_at":"2026-08-06T20:53:53.546553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:53.322575Z","title":"Vector-quantized image modeling with im- proved VQGAN","venue":null,"work_id":"a03190d9-c11a-4ab4-9406-6cdc3807c30e","year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:52.227752Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:b84b039ee857d9181bfce6e0006d8fe46ae3de998d9c545c2d0fe45104f6163b","observation_id":"92b95f62-d3dc-4467-87e2-e49ed9335924","resolution":{"observed_at":"2026-08-06T20:53:53.403275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T20:53:53.075224Z","title":"Autoregressive image generation using residual quantization","venue":null,"work_id":"5b0e44b1-8f06-403a-a3a2-7f12f3b144f5","year":2022},"citing_paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:53:52.338248Z"},"links":{"citing_paper":"/paper/2507.01652"},"observation_digest":"sha256:4b0a4b4747e374f348bdb247ec50564266528c6f082114e9e51cdeadabfa19f8","observation_id":"b3056cfb-797c-482f-bef2-0c749ce1fed3","resolution":{"observed_at":"2026-08-06T20:53:53.210586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01652","last_updated":"2025-07-02T12:27:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T15:07:04.185058Z","submitted_at":"2025-07-02T12:27:06Z","title":"Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":1,"verified_fuzzy":33},"total_outbound_references":59},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2507.01652."}