{"as_of":"2026-08-10T20:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee6e21efc3c0d5e45238d709f290a5903c2844025b65de9881b726f99e87122f","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:15:36.071405Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2507.22873/citation-record","integrity":"/paper/2507.22873/integrity","json":"/paper/2507.22873/citation-record.json","paper":"/paper/2507.22873"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:15:36.926346Z","title":"Agustsson and R","venue":null,"work_id":"935aa44a-1cc0-4966-bb10-5ca5a35d5224","year":2017},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.861889Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:ef5729b482a8d05592c2e87c17cbe543dd170aed38e01fa4094c149a2f2a50a0","observation_id":"da65fd28-7668-4555-983e-fc03424dd541","resolution":{"observed_at":"2026-08-06T11:15:36.934283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.899566Z","title":null,"venue":null,"work_id":"e3f7aed9-87e7-492c-bf17-db87a4e533a6","year":2022},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.867639Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:64f67797d4a03ddc8188f8c26af4c21647da7ccac1ae2c5140f7bdd5afeb4f3b","observation_id":"8b756415-7f1e-4eef-8590-9383f5820276","resolution":{"observed_at":"2026-08-06T11:15:36.907019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.878032Z","title":"Colbert, A","venue":null,"work_id":"c8a4c359-a527-4e63-931c-1a92155a2061","year":2023},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.873269Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:f5c9750fa4ac18862da0dcb4cc6fd1649be134625396e0ef51b84f69b0f776cb","observation_id":"2b7536a2-4a91-42c4-9522-5fb556b05004","resolution":{"observed_at":"2026-08-06T11:15:36.884137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.855178Z","title":null,"venue":null,"work_id":"f015facb-b27f-434d-808b-333c0ec77665","year":2021},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.878146Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:a23fd467c4385dba34a804f4accdee24fdc0b1aacc34333b7609f3294157a5ca","observation_id":"b5c6873f-2ebf-49a0-8bd2-574e664a79b2","resolution":{"observed_at":"2026-08-06T11:15:36.862336Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.834597Z","title":"Dosovitskiy, G","venue":null,"work_id":"2b66a0df-5a08-4b84-aebc-919d1061c70f","year":2017},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.883608Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:a709c2ba4fab32a6509011f75e633b2dd1a16fa38d201dc6feeace291abd5485","observation_id":"154d6d27-be4a-4632-bab9-c37b2b24e7f4","resolution":{"observed_at":"2026-08-06T11:15:36.840795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.808941Z","title":null,"venue":null,"work_id":"bf08d132-7006-4326-b56e-9bdd88e740a1","year":2022},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.889045Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:0f8af526cf090f17abb927b0d1ac479b872f88430e3b7fd0363f097fb533244f","observation_id":"a6024ef0-1c1e-4637-98df-51adb822f370","resolution":{"observed_at":"2026-08-06T11:15:36.815358Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.787403Z","title":"Elsken, J","venue":null,"work_id":"49d56425-3d2c-4589-a608-8f70828aefd6","year":1997},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.894514Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1b874951b1ebc73cf47d5e4198bfcdb6ad8c52fce0fe86e96be1a0e8b772a0da","observation_id":"deeeb518-b64b-453f-9335-155d8fd6ff4b","resolution":{"observed_at":"2026-08-06T11:15:36.794662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.765866Z","title":"Franco, A","venue":null,"work_id":"93fd7522-f662-4bad-b94b-fabf48f58765","year":2025},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.899734Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:f2a0ab7701caf1794a8fa06d3b563eb77d72dde0b5c10d3d8f2d60a6e8a13b66","observation_id":"830784e2-e1c8-48d2-9c48-76c704267fe0","resolution":{"observed_at":"2026-08-06T11:15:36.772134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.13630","last_updated":"2021-06-21T21:01:12Z","snapshot_observed_at":"2026-07-06T10:53:11.986981Z","submitted_at":"2021-03-25T06:57:11Z","title":"A Survey of Quantization Methods for Efficient Neural Network Inference","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.13630","snapshot_observed_at":"2026-08-06T11:15:35.904337Z","title":"Gholami, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.904337Z"},"links":{"cited_paper":"/paper/2103.13630","citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:71cc37d09f0f0444f6a491209172515f5669e78b4c23bcb81440d4c33fd5ad1c","observation_id":"ff657a65-67a1-40a6-87ef-5581be772dfd","resolution":{"observed_at":"2026-08-06T11:15:35.904337Z","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":"2026-08-06T11:15:36.745415Z","title":null,"venue":null,"work_id":"ef0fe411-98c1-4ded-8b37-dfb643f1719c","year":2014},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.909790Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1e75674550ac6a0ae59639c0f6766443d616a80b616b46b1fb52cc5d2a01f201","observation_id":"81ff43a5-ac6e-4427-af2f-7edc9421c4bd","resolution":{"observed_at":"2026-08-06T11:15:36.751697Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.723654Z","title":null,"venue":null,"work_id":"29684ff9-bda2-4125-b0fb-8c6badfeac8f","year":2015},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.914479Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:bee96e05e2eb6deda45dee1939266bf9c6ebe9fb7f62deba875fb6b9223c7336","observation_id":"57cbc759-0082-4657-a31b-a602ce101fee","resolution":{"observed_at":"2026-08-06T11:15:36.729969Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.698114Z","title":"Hinton, O","venue":null,"work_id":"647851a3-ed6e-46bd-9c7d-6d456c2ba707","year":2015},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.919497Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:ad8435e36c9bbbe4c1a744f2b24eac699b6d1eb049085f38e678038f8a3d0ffc","observation_id":"3f3f9477-9a74-4496-84e0-16c169f2ea88","resolution":{"observed_at":"2026-08-06T11:15:36.704229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.673945Z","title":"Isola, J.-Y","venue":null,"work_id":"cc436f5b-e273-4b6e-ab15-6d3d6d59d9b3","year":2017},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.924859Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:202370d2cc25241446abe1b8c987f594fef9b8404f8f383f0661c9f9be75ccbd","observation_id":"a78a194a-98be-4272-8036-11b6ab721b88","resolution":{"observed_at":"2026-08-06T11:15:36.679916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.649574Z","title":"Johnson, A","venue":null,"work_id":"133f8c02-55f0-4852-94db-71e81b752202","year":2016},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.929734Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:7eeb5e44b629be00a52e04f5cae93df9ff529900367bc3e864c5f1db35c92782","observation_id":"870907de-3818-4fc0-ae77-027de1d75585","resolution":{"observed_at":"2026-08-06T11:15:36.654140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.00734","last_updated":"2018-09-10T17:11:59Z","snapshot_observed_at":"2026-08-10T10:19:34.611184Z","submitted_at":"2018-07-02T15:11:23Z","title":"The relativistic discriminator: a key element missing from standard GAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.00734","snapshot_observed_at":"2026-08-06T11:15:35.934439Z","title":"Jolicoeur-Martineau","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.934439Z"},"links":{"cited_paper":"/paper/1807.00734","citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1134b9406e6254dcd868cd5bd625a60a6662299d60848b7965bcd0936f826fa2","observation_id":"44e3a1a8-6f28-4704-9ae1-cc3f9717245c","resolution":{"observed_at":"2026-08-06T11:15:35.934439Z","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":"2026-08-06T11:15:36.629640Z","title":null,"venue":null,"work_id":"4df44951-79b9-49f3-914b-850c3b7cde76","year":2015},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.939824Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:09514be3eb77e604566220a6ccbe7dcac9178eda81274ca383c35bc48d3e3812","observation_id":"f33bd0b4-5bfa-44ea-a7d6-2a9eda780adb","resolution":{"observed_at":"2026-08-06T11:15:36.635761Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.612130Z","title":null,"venue":null,"work_id":"b84bcaf9-b9f1-4247-8e31-0ab9b998889b","year":2022},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.944467Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:b54999025cd0f34d32794cbb6a034217f669c274e68543b0178bf87386167a70","observation_id":"a16f58dd-b1fe-4acd-bcb2-973ff8d9ecb8","resolution":{"observed_at":"2026-08-06T11:15:36.617894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.592551Z","title":"LeCun, J","venue":null,"work_id":"45e8ae6b-9e2e-45e3-be70-cc141e29eb27","year":1989},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.949145Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:e96b1c821a7f8c52eeb0ed74632d5bce32fb807fc41b0c27b0fe51b0c030ae7f","observation_id":"9f8f69e2-c646-4820-b8df-5eaa4f23d768","resolution":{"observed_at":"2026-08-06T11:15:36.598707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.571673Z","title":null,"venue":null,"work_id":"489ca005-9a1c-4273-a83f-a1a66b0fa283","year":2017},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.953696Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1938b31ed206817222a9e3a247907838545ddd1a59a7e35b9526129c79c7e5b3","observation_id":"22fefbc1-dc74-42ab-b24c-e026d9bdfb17","resolution":{"observed_at":"2026-08-06T11:15:36.577241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.554106Z","title":null,"venue":null,"work_id":"e8355040-5972-4bdf-aff1-7d5fe6f215fb","year":2023},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.958449Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:10d0d61c71e211593d8ee6b6d2e84bd64b17e9e10f968c0137e248f4cb81d367","observation_id":"36d685b7-facb-4d3a-86ad-df7f00065721","resolution":{"observed_at":"2026-08-06T11:15:36.559345Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.537483Z","title":null,"venue":null,"work_id":"1c35c949-04da-4152-9b76-824ac06c42dd","year":2022},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.963221Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:c52b0cf7760dc68f4223fa3057a8298558fdc486ba5e89212f9483f22f8a1f25","observation_id":"436e06b0-a58d-49c0-bf77-784004bab8df","resolution":{"observed_at":"2026-08-06T11:15:36.542364Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.518425Z","title":null,"venue":null,"work_id":"9ea63623-78d1-4495-a570-e4d1515c103f","year":2023},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.968128Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:05270ecf096c2ff182869857b9929cfabae56b2d0e816ac59a4cb98547c50d69","observation_id":"0fe2f5bc-8282-43aa-8956-83b0655688a6","resolution":{"observed_at":"2026-08-06T11:15:36.524938Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.495731Z","title":null,"venue":null,"work_id":"fcb00ce2-8c4b-4d90-b492-3fcc525e5b28","year":2020},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.972918Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:6202d56090bb650b69044767b8c81e1eab8a4597f9b981e705b39d8cb52adcd6","observation_id":"c57026d5-c849-4fa1-8a40-43d42bace7ab","resolution":{"observed_at":"2026-08-06T11:15:36.501495Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.473878Z","title":null,"venue":null,"work_id":"84234643-0862-4270-9ef5-3986df0994e2","year":2020},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.977834Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:d01ad95574200bca035d0f43d70de26a7df0195eb608f801f30216b032ea0cf7","observation_id":"15779cda-b5be-4830-9819-2b20972a3e99","resolution":{"observed_at":"2026-08-06T11:15:36.480180Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.455598Z","title":null,"venue":null,"work_id":"d2105f62-a325-4d9d-b836-2773e1914562","year":2019},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.983872Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:8a0d5b746ec10e599c9c58a246e4579252ab2a270ee2cbcd704a7703ace580bf","observation_id":"9bc39853-6afc-4d7e-a744-80d33c7d89db","resolution":{"observed_at":"2026-08-06T11:15:36.461030Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.437000Z","title":null,"venue":null,"work_id":"5228fc52-ad7e-4ebb-843a-1dba06fcc518","year":2024},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.989760Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:250dadbf5016d15208aad4a72acea70a3037858e7aedaff27ea6626333959ca9","observation_id":"67ad6cf0-a49f-49f2-ad43-f9fe38e91be9","resolution":{"observed_at":"2026-08-06T11:15:36.442113Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.415737Z","title":"completely blind","venue":null,"work_id":"d47d3f01-82eb-4601-9702-0c6f6089d99f","year":2013},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.994703Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:293f0c46784acf3ed76e3892672810ce6812d65ab2a88f26e45c4e2bc19719f0","observation_id":"24a3a3ef-9923-486d-88d0-93f85b9075d9","resolution":{"observed_at":"2026-08-06T11:15:36.423626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.393696Z","title":"Pathak, P","venue":null,"work_id":"1d3be934-8580-49ec-bb06-3b6285801425","year":2016},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:35.999456Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:9e55810278e353f742e70ce238807caf20795bbaf538148d6acbfb6ef92d2056","observation_id":"d262e82b-3b33-493c-bba8-26c1c11d3fb6","resolution":{"observed_at":"2026-08-06T11:15:36.399603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.375977Z","title":null,"venue":null,"work_id":"130a1428-2f6c-4eba-880f-0ea527afb15a","year":2025},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.005668Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:aeb6cec45280155d2325c9cdd342376430b9f48fc4940df36ff3f7ad50e9190d","observation_id":"39f42991-35fe-47f2-939a-52aa2b2da387","resolution":{"observed_at":"2026-08-06T11:15:36.380766Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.358646Z","title":null,"venue":null,"work_id":"390076e7-0c43-4189-866b-185b1f66cde3","year":2024},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.010151Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1a3a3a3d1871838123057a594ec0526f347f3fa30f5fd8e3ee8faee3023843ff","observation_id":"0b8e1245-66f8-4a7d-9a01-61883ac5b7ca","resolution":{"observed_at":"2026-08-06T11:15:36.364009Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.339979Z","title":"Romero, N","venue":null,"work_id":"9fe8fee7-e2d8-4784-9dba-35a7617419e4","year":2015},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.014988Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:079edac3ea3b922833e18cf6514116f7bf7c77cb0c4268e9514e47e3a1e069e8","observation_id":"2ade68a9-562b-448a-b21b-9279ad7b0a54","resolution":{"observed_at":"2026-08-06T11:15:36.345729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.323544Z","title":null,"venue":null,"work_id":"5c9e40cd-f7d8-4ba6-8a85-1559dda3da39","year":2016},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.019982Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:aeb09b52c13237a5cb1a5fde172db2185ea6545a768538529a4592f3cd27dc81","observation_id":"af688290-f311-4f33-9731-9df84f61437a","resolution":{"observed_at":"2026-08-06T11:15:36.328282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.306542Z","title":"Simonyan and A","venue":null,"work_id":"500c7b65-0b98-4066-a64b-6557996f0b9f","year":2015},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.024397Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:dfa108c6beb8e3dd22bfa2c41121470a4f00cd07489e47d24f92afd7f722f9cc","observation_id":"e0cfb24a-84ce-4f7b-8682-1db12f704866","resolution":{"observed_at":"2026-08-06T11:15:36.312093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.289018Z","title":"Timofte, E","venue":null,"work_id":"fb3496d9-63b7-4347-8774-c22880f31442","year":2017},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.029462Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:c4d8d2af5b11dbf62812ab3d911e1449722f583aa125b48b6bc3796d43d00455","observation_id":"333fe642-803b-489b-a20b-1c8158efd9cf","resolution":{"observed_at":"2026-08-06T11:15:36.293548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.269367Z","title":null,"venue":null,"work_id":"18302f3d-1774-4e8c-9501-2ab6dfed409e","year":2018},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.034523Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:98f0561362b0556ee6518fa0f6239064319514a5e13adf0c69a9690e368fe37f","observation_id":"a9cfbed2-fbff-4b10-b55e-91219bfc729c","resolution":{"observed_at":"2026-08-06T11:15:36.275099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.248299Z","title":null,"venue":null,"work_id":"27b71e19-a96c-4293-80b4-d45f6e41b5b7","year":2004},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.040343Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1cd567ffcdf53f0b874b0b69ca297e488a6a6f8d33d394d89089c38dd7d48e1e","observation_id":"9c430de0-0e2f-4c3c-8726-32b87bf502e8","resolution":{"observed_at":"2026-08-06T11:15:36.255346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08727","last_updated":"2023-01-25T08:01:55Z","snapshot_observed_at":"2026-08-10T14:48:15.826802Z","submitted_at":"2023-01-20T18:47:24Z","title":"Neural Architecture Search: Insights from 1000 Papers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.08727","snapshot_observed_at":"2026-08-06T11:15:36.049539Z","title":"White, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.049539Z"},"links":{"cited_paper":"/paper/2301.08727","citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:125ba39f3b2b5c5d9f80abdf45b6827daa761adf296fd293213a4d9c5195f8c6","observation_id":"e11e65bc-8779-4efd-b9f5-87a5a5dafa2a","resolution":{"observed_at":"2026-08-06T11:15:36.049539Z","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":"2026-08-06T11:15:36.228175Z","title":null,"venue":null,"work_id":"80573826-b48c-46be-882a-83c8dc38925c","year":2023},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.055478Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:73aa4fd85d616cc78a33f01d0d4c2178c1a3e28cde9d93f05339f62cb2d5240f","observation_id":"e4a8a13e-954e-40ef-a022-8e0ee6318964","resolution":{"observed_at":"2026-08-06T11:15:36.233033Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.209621Z","title":"Zamfir, M","venue":null,"work_id":"ba1f5a0c-8caf-438f-bbda-2cad1d509355","year":2023},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.060464Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:80c8c8e11f6894718c8fd626b63c482837c4788f1e0267f751edae8a5f605052","observation_id":"f498683e-147f-486d-a26f-8dbac91df837","resolution":{"observed_at":"2026-08-06T11:15:36.215352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.190605Z","title":"Zhang, P","venue":null,"work_id":"c45f1303-85c1-4243-add8-7ac20e9b1199","year":2018},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.065801Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:700ccd6e79e02093d0ee7bfd268e68edc59ef4ff72191b1a679fda588ea86922","observation_id":"d41a72e6-29ac-4840-a30e-f822b76a8641","resolution":{"observed_at":"2026-08-06T11:15:36.195430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T11:15:36.172145Z","title":null,"venue":null,"work_id":"c6d4f8e3-5593-413a-b1e4-950abfdd53cc","year":2024},"citing_paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:36.071405Z"},"links":{"citing_paper":"/paper/2507.22873"},"observation_digest":"sha256:1c70cf68f1b0716f6c24c8701cc17ade631a799961caa4e0765f64178ce7cc8f","observation_id":"ff297a76-a819-4308-98e4-ad61504ff81c","resolution":{"observed_at":"2026-08-06T11:15:36.178173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.22873","last_updated":"2025-07-30T17:47:25Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T09:27:38.438054Z","submitted_at":"2025-07-30T17:47:25Z","title":"LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":41},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.22873."}