{"as_of":"2026-08-07T19:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9813d26f555c7d73701b90be25bd4792336e78748c4463f63aef9f56537ffca6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:31:46.201674Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-08T12:34:54.693312Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-08-07T00:31:46.201674Z","title":"Marco Pesavento, Marco Volino, and Adrian Hilton","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.13756","last_updated":"2025-06-16T17:58:29Z","snapshot_observed_at":"2026-08-07T18:30:34.336375Z","submitted_at":"2025-06-16T17:58:29Z","title":"UltraZoom: Generating Gigapixel Images from Regular Photos","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:46.201674Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2506.13756"},"observation_digest":"sha256:0bb43abe9c5f2cb7aebdedba56046c68b9d4a7769ec0ee8b3d72cf557a02f81c","observation_id":"61c9d2ef-5bd1-44ee-96f8-2b0f365d3a23","resolution":{"observed_at":"2026-08-07T00:31:46.201674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-08-06T05:31:24.598934Z","title":", author Wu, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01602","last_updated":"2025-08-06T12:04:27Z","snapshot_observed_at":"2026-08-06T22:07:51.081681Z","submitted_at":"2025-08-03T05:38:14Z","title":"Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment","version":2},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-08-06T05:31:24.598934Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2508.01602"},"observation_digest":"sha256:7326e378da8b6f55e9f33d56127efffa7ac76d9d607f7ee3de148400ae2659b5","observation_id":"03ae71fa-d5d0-4d1f-b30f-1ba70f483f44","resolution":{"observed_at":"2026-08-06T05:31:24.598934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-08-05T12:06:36.180684Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.01964","last_updated":"2025-09-02T05:12:52Z","snapshot_observed_at":"2026-08-06T22:07:10.170377Z","submitted_at":"2025-09-02T05:12:52Z","title":"2D Gaussian Splatting with Semantic Alignment for Image Inpainting","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T12:06:36.180684Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2509.01964"},"observation_digest":"sha256:14a71c04fb74c12c4cf6d188ac8d8bf06aa7f25926ba8d5e61ab505fbff34268","observation_id":"15635a82-eef4-4649-a2a6-604ebcf7984c","resolution":{"observed_at":"2026-08-05T12:06:36.180684Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-08-05T10:39:56.176636Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03872","last_updated":"2025-09-04T04:18:46Z","snapshot_observed_at":"2026-08-06T13:21:38.892660Z","submitted_at":"2025-09-04T04:18:46Z","title":"Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:56.176636Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2509.03872"},"observation_digest":"sha256:c9f06595a9fc04a7feff616de21a9bd8f3d48d92ad2ae8d91de50b9df7cc3da6","observation_id":"735712dc-953b-4f2c-9f0d-f0886cc5f209","resolution":{"observed_at":"2026-08-05T10:39:56.176636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2511.18957","last_updated":"2026-04-13T02:31:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-24T10:19:56Z","title":"Eevee: Towards Close-up High-resolution Video-based Virtual Try-on","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-17T06:34:45.045267Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2511.18957"},"observation_digest":"sha256:a6bc6f92eee88a9319b24ff360099de5389465820ceb9304865ee06f0720ebe4","observation_id":"7b7d6749-fea2-4e36-941c-23e94faa3284","resolution":{"observed_at":"2026-05-17T06:39:10.519864Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2604.17727","last_updated":"2026-04-20T02:21:52Z","snapshot_observed_at":"2026-07-06T23:04:46.497227Z","submitted_at":"2026-04-20T02:21:52Z","title":"Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T05:45:29.560364Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2604.17727"},"observation_digest":"sha256:310ef358caa79d487f5a01ccab409fa92d3b2abe31f7489f85d02e248468da1e","observation_id":"2239454f-9ca1-4b10-af93-701f6f0f8e70","resolution":{"observed_at":"2026-05-10T05:46:10.036133Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2604.18047","last_updated":"2026-04-20T10:11:05Z","snapshot_observed_at":"2026-07-06T23:04:59.629739Z","submitted_at":"2026-04-20T10:11:05Z","title":"GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting","version":1},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-05-10T04:46:39.643664Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2604.18047"},"observation_digest":"sha256:babd00a28727eab40c8d2eeb96b7b756ac04fcd77841aa1395a24036a786042c","observation_id":"20984b6e-ceb9-42d8-b39a-d89840a1cc35","resolution":{"observed_at":"2026-05-10T11:40:19.518366Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2605.22186","last_updated":"2026-05-21T08:55:34Z","snapshot_observed_at":"2026-07-06T23:32:35.159280Z","submitted_at":"2026-05-21T08:55:34Z","title":"Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-22T06:31:48.866346Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2605.22186"},"observation_digest":"sha256:042c7e90d3f35c9a91ce2a7080b79d15aebb5f48a8e9d00d6514738ece35883b","observation_id":"289836c8-4f28-40a6-9c0a-2dd49ab41588","resolution":{"observed_at":"2026-05-22T06:34:41.122642Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:114b951dbc28ac065b9ecedaac9c56ecddb6931982e4dbd48050b33cde54c5e6","observation_id":"1f967c97-4e2b-4285-ab79-9f6f15147a98","resolution":{"observed_at":"2026-07-03T20:18:57.292115Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2606.29453","last_updated":"2026-07-01T22:24:17Z","snapshot_observed_at":"2026-07-07T00:03:27.045821Z","submitted_at":"2026-06-28T15:16:39Z","title":"Resonant Brane Splatting for Arbitrary-Scale Super-Resolution","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T07:36:58.926990Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2606.29453"},"observation_digest":"sha256:682485969fff21045f6862acca3017f63c09ab9b4e526a82d7b6630223897dc2","observation_id":"bd6bccd7-d6d9-444f-9de7-fbc44f675abb","resolution":{"observed_at":"2026-06-30T07:44:22.146913Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2606.29453","last_updated":"2026-07-01T22:24:17Z","snapshot_observed_at":"2026-07-07T00:03:27.045821Z","submitted_at":"2026-06-28T15:16:39Z","title":"Resonant Brane Splatting for Arbitrary-Scale Super-Resolution","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-03T22:44:55.621810Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2606.29453"},"observation_digest":"sha256:6c28fad101e51927f2715556549517de702519a81698d35d6c50fd8b7ec074a9","observation_id":"b1bc79af-415b-4b86-b8a8-92a7c946ed22","resolution":{"observed_at":"2026-07-03T22:49:00.673505Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2606.29535","last_updated":"2026-07-03T16:31:32Z","snapshot_observed_at":"2026-08-06T04:44:04.109177Z","submitted_at":"2026-06-28T17:57:48Z","title":"GarmentZoom: Generating Zoomable Images from Garment Listings","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T07:17:18.670097Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2606.29535"},"observation_digest":"sha256:18326d311c51db95df866aaf3caa8f939f10235b99a057302833f8c87d0f84b1","observation_id":"609b5138-4fa6-48f2-9a83-151bcbee1868","resolution":{"observed_at":"2026-06-30T07:24:21.661785Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-12T10:55:52.080113Z","title":"arXiv preprint arXiv:2503.06617 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.29535","last_updated":"2026-07-03T16:31:32Z","snapshot_observed_at":"2026-08-06T04:44:04.109177Z","submitted_at":"2026-06-28T17:57:48Z","title":"GarmentZoom: Generating Zoomable Images from Garment Listings","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T10:55:52.080113Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2606.29535"},"observation_digest":"sha256:ee95ff61759af0be2c185cc1151d8e9a58a0288c358dae528529425fb465baa7","observation_id":"43b0e1ee-e7d2-4606-97e7-c6b9093aeb74","resolution":{"observed_at":"2026-07-12T10:55:52.080113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2607.06238","last_updated":"2026-07-07T13:06:01Z","snapshot_observed_at":"2026-08-06T18:39:58.649277Z","submitted_at":"2026-07-07T13:06:01Z","title":"PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-08T12:29:12.839276Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2607.06238"},"observation_digest":"sha256:8ec5e2dcdb3a27b79ef47a630810809bccf7b910ef80e58871968f754717b3bd","observation_id":"37924310-99e4-4b8f-a281-e563ce0d12cc","resolution":{"observed_at":"2026-07-08T12:34:54.695028Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-31T06:40:45.563173Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24729","last_updated":"2026-07-27T17:57:00Z","snapshot_observed_at":"2026-08-06T16:48:37.380584Z","submitted_at":"2026-07-27T17:57:00Z","title":"MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-31T06:40:45.563173Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2607.24729"},"observation_digest":"sha256:b519e7d6f819d8fbfd109852145291416923ddfc162157d849523a2bbfdf6050","observation_id":"a22fff5e-2f47-47ca-84a8-30168ff53dce","resolution":{"observed_at":"2026-07-31T06:40:45.563173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.06617/citation-record","integrity":"/paper/2503.06617/integrity","json":"/paper/2503.06617/citation-record.json","paper":"/paper/2503.06617"},"outbound":[],"paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2503.06617."}