{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:6BQ5O5VNTNKLME7ZWTAPL7O56A","short_pith_number":"pith:6BQ5O5VN","schema_version":"1.0","canonical_sha256":"f061d776ad9b54b613f9b4c0f5fdddf039e9b71fff06c00288edf148f674daae","source":{"kind":"arxiv","id":"1812.04821","version":4},"attestation_state":"computed","paper":{"title":"Efficient Super Resolution For Large-Scale Images Using Attentional GAN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Brooke Cowan, Harsh Nilesh Pathak, Shervin Minaee, Xinxin Li","submitted_at":"2018-12-12T06:11:32Z","abstract_excerpt":"Single Image Super Resolution (SISR) is a well-researched problem with broad commercial relevance. However, most of the SISR literature focuses on small-size images under 500px, whereas business needs can mandate the generation of very high resolution images. At Expedia Group, we were tasked with generating images of at least 2000px for display on the website, four times greater than the sizes typically reported in the literature. This requirement poses a challenge that state-of-the-art models, validated on small images, have not been proven to handle. In this paper, we investigate solutions t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1812.04821","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-12T06:11:32Z","cross_cats_sorted":[],"title_canon_sha256":"b08c1e386379f9e6becf8086055f7d95a9d634efd4bfee10379c443664ad2b20","abstract_canon_sha256":"7c6ec1c0cd2cc536048b47314e2115528deb0dc34c87d0d9e7de1adf4e1a13bf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:27.478552Z","signature_b64":"d/4qDrjpcDbfqp71LsFu55RNZmzmKBHhJYct0DNwNgiJ95LYlPl5HhCGB9aZPKVJQmOjv71OaOtzc5mcu596Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f061d776ad9b54b613f9b4c0f5fdddf039e9b71fff06c00288edf148f674daae","last_reissued_at":"2026-05-17T23:56:27.478099Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:27.478099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Super Resolution For Large-Scale Images Using Attentional GAN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Brooke Cowan, Harsh Nilesh Pathak, Shervin Minaee, Xinxin Li","submitted_at":"2018-12-12T06:11:32Z","abstract_excerpt":"Single Image Super Resolution (SISR) is a well-researched problem with broad commercial relevance. However, most of the SISR literature focuses on small-size images under 500px, whereas business needs can mandate the generation of very high resolution images. At Expedia Group, we were tasked with generating images of at least 2000px for display on the website, four times greater than the sizes typically reported in the literature. This requirement poses a challenge that state-of-the-art models, validated on small images, have not been proven to handle. In this paper, we investigate solutions t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04821","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1812.04821","created_at":"2026-05-17T23:56:27.478169+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.04821v4","created_at":"2026-05-17T23:56:27.478169+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04821","created_at":"2026-05-17T23:56:27.478169+00:00"},{"alias_kind":"pith_short_12","alias_value":"6BQ5O5VNTNKL","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_16","alias_value":"6BQ5O5VNTNKLME7Z","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_8","alias_value":"6BQ5O5VN","created_at":"2026-05-18T12:32:08.215937+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A","json":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A.json","graph_json":"https://pith.science/api/pith-number/6BQ5O5VNTNKLME7ZWTAPL7O56A/graph.json","events_json":"https://pith.science/api/pith-number/6BQ5O5VNTNKLME7ZWTAPL7O56A/events.json","paper":"https://pith.science/paper/6BQ5O5VN"},"agent_actions":{"view_html":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A","download_json":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A.json","view_paper":"https://pith.science/paper/6BQ5O5VN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.04821&json=true","fetch_graph":"https://pith.science/api/pith-number/6BQ5O5VNTNKLME7ZWTAPL7O56A/graph.json","fetch_events":"https://pith.science/api/pith-number/6BQ5O5VNTNKLME7ZWTAPL7O56A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A/action/storage_attestation","attest_author":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A/action/author_attestation","sign_citation":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A/action/citation_signature","submit_replication":"https://pith.science/pith/6BQ5O5VNTNKLME7ZWTAPL7O56A/action/replication_record"}},"created_at":"2026-05-17T23:56:27.478169+00:00","updated_at":"2026-05-17T23:56:27.478169+00:00"}