{"as_of":"2026-08-13T13:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:403d3e59eb7caa8a80ed4f23cb4f379522d9e0114902a1391d5b485be6828a08","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":"2026-08-11T20:00:12.268711Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T08:13:42.138653Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06163","snapshot_observed_at":"2026-08-03T08:13:42.138653Z","title":"Asgdiffusion: Parallel high-resolution generation with asynchronous struc- ture guidance.arXiv preprint arXiv:2412.06163, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.17950","last_updated":"2026-07-19T01:16:30Z","snapshot_observed_at":"2026-08-13T04:18:12.269048Z","submitted_at":"2026-01-25T18:59:45Z","title":"UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T08:13:42.138653Z"},"links":{"cited_paper":"/paper/2412.06163","citing_paper":"/paper/2601.17950"},"observation_digest":"sha256:da3e6f4344107565c708deec76ed976445a20b3e2bbd28969fad1b79dd570d9b","observation_id":"51031ae7-78bf-468e-9f1d-a52641c0ef06","resolution":{"observed_at":"2026-08-03T08:13:42.138653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.06163/citation-record","integrity":"/paper/2412.06163/integrity","json":"/paper/2412.06163/citation-record.json","paper":"/paper/2412.06163"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:00:12.852269Z","title":"Multidiffusion: Fusing diffusion paths for controlled image generation","venue":null,"work_id":"81b8cbfa-07e3-4b12-a275-f17e5beb23bc","year":2023},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.103069Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:1ae7c71254d3f5c8589ae6d5eddd9cb8f025a5639880b7d272c7952d606917ec","observation_id":"faaef93f-b9cc-4515-bc24-f95f1a01a9b3","resolution":{"observed_at":"2026-08-11T20:00:12.857913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:00:12.109539Z","title":"Image super-resolution using deep convolutional net- works","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.109539Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:f341ffbe4ef5ccc0411155249da6b99c05ca2498df3f37dbcc4de6614a5d6c4e","observation_id":"d4d1d6bf-b749-4a53-814e-4b020ba632ef","resolution":{"observed_at":"2026-08-11T20:00:12.109539Z","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":"2026-08-11T20:00:12.817315Z","title":"Demofusion: Democratising high- resolution image generation with no $$$","venue":null,"work_id":"b45b80b3-d3c6-4401-8d33-5d2c9a3a6648","year":2024},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.118936Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:01fb3d707a0314483080a15c00bb22e45411fd3f7096a9b4592aa4dd54cb31ea","observation_id":"a938747d-b851-4a4e-9f33-9a1049db3280","resolution":{"observed_at":"2026-08-11T20:00:12.823208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04007","last_updated":"2023-05-22T18:38:27Z","snapshot_observed_at":"2026-08-13T12:29:47.801670Z","submitted_at":"2023-03-07T16:17:42Z","title":"Generalized boundary conditions in closed cosmologies","version":2},"cited_work":{"arxiv_id":"2303.04007","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.04007","snapshot_observed_at":"2026-08-11T20:00:12.528976Z","title":"Generalized boundary conditions in closed cosmologies","venue":"gr-qc","work_id":"42ad382f-c71c-404a-8f0a-7f5ab7432b1c","year":2023},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.126980Z"},"links":{"cited_paper":"/paper/2303.04007","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:d1ad0b7967a3d0793064fd0299fee3cdce056eb8ecabcbdbd1a4b6ffe0ad805e","observation_id":"0943c366-1994-4b76-86d3-3fa4af4251ea","resolution":{"observed_at":"2026-08-11T20:00:12.534384Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07702","last_updated":"2023-10-11T17:52:39Z","snapshot_observed_at":"2026-08-13T05:51:57.165046Z","submitted_at":"2023-10-11T17:52:39Z","title":"ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07702","snapshot_observed_at":"2026-08-11T20:00:12.133140Z","title":"Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.133140Z"},"links":{"cited_paper":"/paper/2310.07702","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:553479a1ca9e139e27c61ca7af039383222ea135aa91403310623cd605405b0b","observation_id":"d9933269-c566-416b-a0d0-8f04cc3e6d93","resolution":{"observed_at":"2026-08-11T20:00:12.133140Z","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":"2026-08-11T20:00:12.796276Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium","venue":null,"work_id":"a7eaa2a0-8b04-4ac0-b096-b4f1dfa006f5","year":2017},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.139314Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:2a6faa89c0d5d2531f3eae418c6f3af0f16f6e03cb288721582445e5ccbf3ea0","observation_id":"df48b638-ad52-4866-a5e2-27a6922d57a4","resolution":{"observed_at":"2026-08-11T20:00:12.802073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-12T19:28:23.372660Z","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":"2026-08-11T20:00:12.145433Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.145433Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:9707dceb3350b6bb43cb30d4eea83455fb2538279707e67acca4f4d42bfdc720","observation_id":"eef05bd8-5e48-473c-86ce-30bfd5a5d835","resolution":{"observed_at":"2026-08-11T20:00:12.145433Z","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":"2026-08-11T20:00:12.776795Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"2be0c0cf-c7ef-46ca-9a97-76a0c79161cb","year":2020},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.151145Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:b72c230dc9809b897bed9b91c0908aa0038f0ce16474431e5cc90c2c17d8b019","observation_id":"14aa1e10-5a17-4442-8d8e-3cb340929bb6","resolution":{"observed_at":"2026-08-11T20:00:12.783326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:00:12.156409Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.156409Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:b23b404d32351be9f6ed8acbec6e6d100943f18fc49175d7b55099d3e493a251","observation_id":"f9644a77-b133-43c1-92ac-4602a72dc08e","resolution":{"observed_at":"2026-08-11T20:00:12.156409Z","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":"2026-08-11T20:00:12.161612Z","title":"Cascaded diffu- sion models for high fidelity image generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.161612Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:e9eb3cc0ca98022ea7ee83e4119cbf2b67bad302f0f9377c4b405c9db214d539","observation_id":"029bbc01-1ec6-4a39-ba88-9dabdb9cb808","resolution":{"observed_at":"2026-08-11T20:00:12.161612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01709","last_updated":"2024-04-02T07:49:08Z","snapshot_observed_at":"2026-08-13T01:14:41.277899Z","submitted_at":"2024-04-02T07:49:08Z","title":"Upsample Guidance: Scale Up Diffusion Models without Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01709","snapshot_observed_at":"2026-08-11T20:00:12.167219Z","title":"Upsample guidance: Scale up diffusion models without training","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.167219Z"},"links":{"cited_paper":"/paper/2404.01709","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:6e0142255cf56913aae222b3c72be6686dbc7f1ec1877adeb791c8ba5871511e","observation_id":"3c6870a2-6124-4486-b9d3-6c9243c7c149","resolution":{"observed_at":"2026-08-11T20:00:12.167219Z","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":"2026-08-11T20:00:12.721142Z","title":"Accurate image super-resolution using very deep convolutional net- works","venue":null,"work_id":"346b96f9-92db-4c4b-8595-c89862c3e90e","year":2016},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.173335Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:70cac8649f899f6f2bc21e8a4a0b975ba56c7e040bb3de05fc21427d02d00575","observation_id":"081e7e60-0d49-47be-acc7-3b64e05925c6","resolution":{"observed_at":"2026-08-11T20:00:12.729050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18459","last_updated":"2024-08-27T05:46:06Z","snapshot_observed_at":"2026-08-13T01:14:42.339002Z","submitted_at":"2024-06-26T16:10:31Z","title":"DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18459","snapshot_observed_at":"2026-08-11T20:00:12.178503Z","title":"Diffusehigh: Training-free progressive high-resolution im- age synthesis through structure guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.178503Z"},"links":{"cited_paper":"/paper/2406.18459","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:d24846dc517a72b303be373e9a1f9e7feb8f29bab2b0aba645f7cb7cf54adc91","observation_id":"19dd8b4f-dd2a-40c1-a0ba-c2b6f085c531","resolution":{"observed_at":"2026-08-11T20:00:12.178503Z","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":"2026-08-11T20:00:12.184226Z","title":"Photo- realistic single image super-resolution using a generative ad- versarial network","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.184226Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:a9faa6ce0693b60b8dda2d4b92d88fe495ec5b7ec7de246f835de45b281a7b60","observation_id":"98762a62-d5c5-4e98-bd2d-7fa48f30933c","resolution":{"observed_at":"2026-08-11T20:00:12.184226Z","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":"2026-08-11T20:00:12.189946Z","title":"Enhanced deep residual networks for single image super-resolution","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.189946Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:1e6479ad9872691e2b7a66f1806b67d8a6a6af47674ee1464a0738e506e4f4b9","observation_id":"b2ec30df-aa2f-45da-be92-5a475db36aaf","resolution":{"observed_at":"2026-08-11T20:00:12.189946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03003","last_updated":"2024-06-23T01:24:33Z","snapshot_observed_at":"2026-08-13T04:48:37.395199Z","submitted_at":"2024-01-05T06:51:08Z","title":"AST-T5: Structure-Aware Pretraining for Code Generation and Understanding","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03003","snapshot_observed_at":"2026-08-11T20:00:12.195172Z","title":"Cutdiffusion: A simple, fast, cheap, and strong diffusion model for image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.195172Z"},"links":{"cited_paper":"/paper/2401.03003","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:8883b0ed540566a0553e9f7dd94b776e0a4c75a86c0414a758e2800e75024cb2","observation_id":"c087610a-236d-4965-9eef-743e7a575d6a","resolution":{"observed_at":"2026-08-11T20:00:12.195172Z","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":"2026-08-11T20:00:12.675238Z","title":"Mostaque","venue":null,"work_id":"92a199f8-6fe1-4eed-bbbb-f190d01cefd2","year":2022},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.201381Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:4c8238302ba4398b944c4ddc9e9bc5b19d7fbf86875e000417d5a55a919c4861","observation_id":"1b3d5e18-8fb4-4938-b17f-39ad6fadde1e","resolution":{"observed_at":"2026-08-11T20:00:12.681183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:00:12.657790Z","title":"Benchmark for image synthesis in medical imag- ing","venue":null,"work_id":"eded2fdb-d1da-44d8-a984-e2319278f592","year":2021},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.207126Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:c7554784999f76f867277c923a3cc2df7f87229f2ffcab6ff34e009bd1ae83d0","observation_id":"7c17d80b-52cd-4e95-968d-c56f13deb02f","resolution":{"observed_at":"2026-08-11T20:00:12.663527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08934","last_updated":"2023-03-15T21:01:31Z","snapshot_observed_at":"2026-08-13T12:23:48.762330Z","submitted_at":"2023-03-15T21:01:31Z","title":"PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages","version":1},"cited_work":{"arxiv_id":"2303.08934","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.08934","snapshot_observed_at":"2026-08-11T20:00:12.399783Z","title":"PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages","venue":"cs.SE","work_id":"189a7d91-5c42-4112-b7cb-a311996a83db","year":2023},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.212767Z"},"links":{"cited_paper":"/paper/2303.08934","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:120eed7234dfbc539e9eafd4dc8244af25cd3aeee1c00237225023f556f11e36","observation_id":"ec44315f-d5bf-4cbc-9a6c-f44f07ae9390","resolution":{"observed_at":"2026-08-11T20:00:12.407804Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:00:12.218084Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.218084Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:b27f6753643b4b20698af0eebac81698ac9a4302b6f7917eaffe0f600b66d422","observation_id":"483f7446-6a1d-472d-9e9d-5ec6d0c9c527","resolution":{"observed_at":"2026-08-11T20:00:12.218084Z","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":"2026-08-11T20:00:12.223447Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.223447Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:7831d02d9cfb63ef6f5c34cc8401c12bc05398243bec34145c9df120b594bd73","observation_id":"87c3ccfb-061d-47c4-b409-7388608f984c","resolution":{"observed_at":"2026-08-11T20:00:12.223447Z","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":"2026-08-11T20:00:12.609638Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"a9031c9a-cb4f-4023-9870-899d59edc29f","year":null},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.228922Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:6154d75d9efc4a18f1b60959d2133435ad5795f24fbdb3044353e02c4382c79d","observation_id":"bafd84f2-9004-42ca-9519-8ef69d0bdd94","resolution":{"observed_at":"2026-08-11T20:00:12.615873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:00:12.590037Z","title":"Improved techniques for training gans","venue":null,"work_id":"a4ce5e70-b424-437a-bcd1-00af5000f8ed","year":2016},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.234824Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:4e781c927902db50ba240dd268653c8ed855a14a42337c3519697499723452c6","observation_id":"6defd140-9d92-46ee-b5c9-c90153eded34","resolution":{"observed_at":"2026-08-11T20:00:12.596104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-11T20:00:12.240367Z","title":"Laion-5b: An open large-scale dataset for train- ing next generation image-text models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.240367Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:ef0524f5cd3cf88d6e26e36c570e44f132aafa7907adce3993e3d79f0c2575d9","observation_id":"4fed5931-a3ba-469d-b7a3-0cc7f2120537","resolution":{"observed_at":"2026-08-11T20:00:12.240367Z","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":"2026-08-11T20:00:12.568456Z","title":"Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network","venue":null,"work_id":"00485ebe-d2bf-4051-8bfe-213004b99fbb","year":2016},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.246101Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:7e79fd811a5255a9add1deebe2ebbcee4d2646f4edaa27ed5fec44e6eeedaeca","observation_id":"2252c887-b309-4d95-9a77-c33d8cf652e0","resolution":{"observed_at":"2026-08-11T20:00:12.574116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-11T20:00:12.251961Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.251961Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:721cd3402911a693c6f6c560d3582b1ca2cfb6b40e19a16818030469b6a7a686","observation_id":"0c63cd5f-2566-4fc2-a23b-fe5cdc91a511","resolution":{"observed_at":"2026-08-11T20:00:12.251961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03350","last_updated":"2023-09-04T15:00:33Z","snapshot_observed_at":"2026-08-13T10:20:43.902297Z","submitted_at":"2023-09-04T15:00:33Z","title":"Relay Diffusion: Unifying diffusion process across resolutions for image synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03350","snapshot_observed_at":"2026-08-11T20:00:12.257554Z","title":"Relay diffusion: Unifying diffusion process across resolutions for image syn- thesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.257554Z"},"links":{"cited_paper":"/paper/2309.03350","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:a146ac3c5d55d7a55a082dedc05d630118b2e4ba483a5dc0bb7a7c2a8b92d21f","observation_id":"3ba88733-ba6b-41ff-9b53-8b5f5903fe3f","resolution":{"observed_at":"2026-08-11T20:00:12.257554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.14006","last_updated":"2021-09-30T13:07:58Z","snapshot_observed_at":"2026-08-13T01:12:56.653368Z","submitted_at":"2021-03-25T17:40:53Z","title":"Designing a Practical Degradation Model for Deep Blind Image Super-Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.14006","snapshot_observed_at":"2026-08-11T20:00:12.262810Z","title":"Designing a practical degradation model for deep blind 9 image super-resolution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.262810Z"},"links":{"cited_paper":"/paper/2103.14006","citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:d778206fba9f36406a977b65054f644251beb603e11ab4ebdf06e6b7435f8193","observation_id":"a14cddde-10be-41cf-a3f0-cd3afba29fd2","resolution":{"observed_at":"2026-08-11T20:00:12.262810Z","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":"2026-08-11T20:00:12.549528Z","title":"• Additional visualization results – High-resolution outputs generated by ASGDiffusion","venue":null,"work_id":"d338f686-d181-43a6-9ed1-16674d717e68","year":null},"citing_paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-11T20:00:12.268711Z"},"links":{"citing_paper":"/paper/2412.06163"},"observation_digest":"sha256:b8b95d305225f1cc97d19acef588a580a6aa081a7273d6a52fef35e268991c38","observation_id":"d63b78d8-f7f2-4b16-a876-f0916de473a1","resolution":{"observed_at":"2026-08-11T20:00:12.555915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.06163","last_updated":"2024-12-09T02:51:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T01:14:25.896928Z","submitted_at":"2024-12-09T02:51:24Z","title":"ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":11},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2412.06163."}