{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4DIVV23I6GL2YJRDQPLMSC2YTB","short_pith_number":"pith:4DIVV23I","canonical_record":{"source":{"id":"2404.00722","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-31T15:34:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6a4418d994bb1b4557e0acc955757efb126324cf3032b589fb7a47e92cc08ea6","abstract_canon_sha256":"86e52817759ec38b1e218fff4173c90aadc6fc002ca097ba29cce3e06f25c5e5"},"schema_version":"1.0"},"canonical_sha256":"e0d15aeb68f197ac262383d6c90b5898688a4c8187c2e364daa79f1e42d8d984","source":{"kind":"arxiv","id":"2404.00722","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00722","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00722v5","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00722","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"pith_short_12","alias_value":"4DIVV23I6GL2","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"pith_short_16","alias_value":"4DIVV23I6GL2YJRD","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"pith_short_8","alias_value":"4DIVV23I","created_at":"2026-07-05T09:39:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4DIVV23I6GL2YJRDQPLMSC2YTB","target":"record","payload":{"canonical_record":{"source":{"id":"2404.00722","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-31T15:34:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6a4418d994bb1b4557e0acc955757efb126324cf3032b589fb7a47e92cc08ea6","abstract_canon_sha256":"86e52817759ec38b1e218fff4173c90aadc6fc002ca097ba29cce3e06f25c5e5"},"schema_version":"1.0"},"canonical_sha256":"e0d15aeb68f197ac262383d6c90b5898688a4c8187c2e364daa79f1e42d8d984","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:22.179342Z","signature_b64":"6eN2XXEmsrsGxr07PGStR/Gt/VCajt2WgVeTIvVh0HczdGdkqmwoEgHn5u+W7lWWgT05/BTOLkdtqd6Z5EE3BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0d15aeb68f197ac262383d6c90b5898688a4c8187c2e364daa79f1e42d8d984","last_reissued_at":"2026-07-05T09:39:22.178880Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:22.178880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.00722","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:39:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7YCniZdQZ3Bt4DJZwI7wUfFYx7Zaa0VNMJigWRp1GVvCR2Js8FV/RBx2ozGNx0OVOuYCkO4/TE3pR7To93UcBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:22:42.928973Z"},"content_sha256":"373d6cb4e3d192bd0b4d79278204b0bbe4675a361f9c5849afcbfcb172ecaf58","schema_version":"1.0","event_id":"sha256:373d6cb4e3d192bd0b4d79278204b0bbe4675a361f9c5849afcbfcb172ecaf58"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4DIVV23I6GL2YJRDQPLMSC2YTB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DRCT: Saving Image Super-resolution away from Information Bottleneck","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chia-Ming Lee, Chih-Chung Hsu, Yi-Shiuan Chou","submitted_at":"2024-03-31T15:34:45Z","abstract_excerpt":"In recent years, Vision Transformer-based approaches for low-level vision tasks have achieved widespread success. Unlike CNN-based models, Transformers are more adept at capturing long-range dependencies, enabling the reconstruction of images utilizing non-local information. In the domain of super-resolution, Swin-transformer-based models have become mainstream due to their capability of global spatial information modeling and their shifting-window attention mechanism that facilitates the interchange of information between different windows. Many researchers have enhanced model performance by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00722","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.00722/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:39:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gy06Bcdinh/4fCfBx/cxwcmEuC7x29gARIqJCngqdjSvBoXMjshwNal4sGLlYozKsD3chv9MIgmaSb0XGq4lDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:22:42.929476Z"},"content_sha256":"5403083284ce1c0d6118b23a1e13939eb2cec02354736b90defaf1c955e9b500","schema_version":"1.0","event_id":"sha256:5403083284ce1c0d6118b23a1e13939eb2cec02354736b90defaf1c955e9b500"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4DIVV23I6GL2YJRDQPLMSC2YTB/bundle.json","state_url":"https://pith.science/pith/4DIVV23I6GL2YJRDQPLMSC2YTB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4DIVV23I6GL2YJRDQPLMSC2YTB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T10:22:42Z","links":{"resolver":"https://pith.science/pith/4DIVV23I6GL2YJRDQPLMSC2YTB","bundle":"https://pith.science/pith/4DIVV23I6GL2YJRDQPLMSC2YTB/bundle.json","state":"https://pith.science/pith/4DIVV23I6GL2YJRDQPLMSC2YTB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4DIVV23I6GL2YJRDQPLMSC2YTB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4DIVV23I6GL2YJRDQPLMSC2YTB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"86e52817759ec38b1e218fff4173c90aadc6fc002ca097ba29cce3e06f25c5e5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-31T15:34:45Z","title_canon_sha256":"6a4418d994bb1b4557e0acc955757efb126324cf3032b589fb7a47e92cc08ea6"},"schema_version":"1.0","source":{"id":"2404.00722","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00722","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00722v5","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00722","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"pith_short_12","alias_value":"4DIVV23I6GL2","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"pith_short_16","alias_value":"4DIVV23I6GL2YJRD","created_at":"2026-07-05T09:39:22Z"},{"alias_kind":"pith_short_8","alias_value":"4DIVV23I","created_at":"2026-07-05T09:39:22Z"}],"graph_snapshots":[{"event_id":"sha256:5403083284ce1c0d6118b23a1e13939eb2cec02354736b90defaf1c955e9b500","target":"graph","created_at":"2026-07-05T09:39:22Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2404.00722/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, Vision Transformer-based approaches for low-level vision tasks have achieved widespread success. Unlike CNN-based models, Transformers are more adept at capturing long-range dependencies, enabling the reconstruction of images utilizing non-local information. In the domain of super-resolution, Swin-transformer-based models have become mainstream due to their capability of global spatial information modeling and their shifting-window attention mechanism that facilitates the interchange of information between different windows. Many researchers have enhanced model performance by ","authors_text":"Chia-Ming Lee, Chih-Chung Hsu, Yi-Shiuan Chou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-31T15:34:45Z","title":"DRCT: Saving Image Super-resolution away from Information Bottleneck"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00722","kind":"arxiv","version":5},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:373d6cb4e3d192bd0b4d79278204b0bbe4675a361f9c5849afcbfcb172ecaf58","target":"record","created_at":"2026-07-05T09:39:22Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"86e52817759ec38b1e218fff4173c90aadc6fc002ca097ba29cce3e06f25c5e5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-31T15:34:45Z","title_canon_sha256":"6a4418d994bb1b4557e0acc955757efb126324cf3032b589fb7a47e92cc08ea6"},"schema_version":"1.0","source":{"id":"2404.00722","kind":"arxiv","version":5}},"canonical_sha256":"e0d15aeb68f197ac262383d6c90b5898688a4c8187c2e364daa79f1e42d8d984","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0d15aeb68f197ac262383d6c90b5898688a4c8187c2e364daa79f1e42d8d984","first_computed_at":"2026-07-05T09:39:22.178880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:22.178880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6eN2XXEmsrsGxr07PGStR/Gt/VCajt2WgVeTIvVh0HczdGdkqmwoEgHn5u+W7lWWgT05/BTOLkdtqd6Z5EE3BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:22.179342Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.00722","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:373d6cb4e3d192bd0b4d79278204b0bbe4675a361f9c5849afcbfcb172ecaf58","sha256:5403083284ce1c0d6118b23a1e13939eb2cec02354736b90defaf1c955e9b500"],"state_sha256":"76123c9cb0bf3c440348e27c99319c76eaef2d35cf8281c9c2401f13fa0d9eb9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+NNiCDcTEHm9pDVWyQE0SYreARknb2KPQFVeWmnYfnVw8k0AzmiqN1gTnPxqf+i5bV5r83jzD6FzmQsCMV5JDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T10:22:42.933930Z","bundle_sha256":"f626c574b28a5ceb68655222837e7d6088c97d722c463960b02d82d7ff0fe1bf"}}