{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XHNGFPYPECLPZJG7WN7FXPIHGP","short_pith_number":"pith:XHNGFPYP","canonical_record":{"source":{"id":"2506.02585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-03T08:05:11Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"aeec557f7c982ba10dbe4b384c978ab668eb74f17cc0058590f0c882db7916c7","abstract_canon_sha256":"fe4c49bc6f1add4857d47d9a70ef247e9e439096506ab1b31e67bb8e2554571a"},"schema_version":"1.0"},"canonical_sha256":"b9da62bf0f2096fca4dfb37e5bbd0733e4219c72a04b1b2ee28ae37b5a676f6e","source":{"kind":"arxiv","id":"2506.02585","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02585","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02585v1","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02585","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"pith_short_12","alias_value":"XHNGFPYPECLP","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"pith_short_16","alias_value":"XHNGFPYPECLPZJG7","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"pith_short_8","alias_value":"XHNGFPYP","created_at":"2026-07-05T11:15:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XHNGFPYPECLPZJG7WN7FXPIHGP","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-03T08:05:11Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"aeec557f7c982ba10dbe4b384c978ab668eb74f17cc0058590f0c882db7916c7","abstract_canon_sha256":"fe4c49bc6f1add4857d47d9a70ef247e9e439096506ab1b31e67bb8e2554571a"},"schema_version":"1.0"},"canonical_sha256":"b9da62bf0f2096fca4dfb37e5bbd0733e4219c72a04b1b2ee28ae37b5a676f6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:04.795583Z","signature_b64":"tN1mJGGuHiufLNQCThiVk9CqOWN35s7Q97fPUReIknSsJR8252yZFl781g+xxdljR+mK5+183GtlTljGlss9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9da62bf0f2096fca4dfb37e5bbd0733e4219c72a04b1b2ee28ae37b5a676f6e","last_reissued_at":"2026-07-05T11:15:04.795034Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:04.795034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02585","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:15:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HiVoRSVC7bizsfwCvcOfV8K+zDGkJ/wsH3O8fMBtlxOrCv9HpbV3V7E2L9HW4v0POo+cgGc3V+SXlKZU+3+uCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:44:17.181079Z"},"content_sha256":"4f2d5969367246c9f3490e4c942a8e28a95899dc8c9f6c6e38458976f0edbf74","schema_version":"1.0","event_id":"sha256:4f2d5969367246c9f3490e4c942a8e28a95899dc8c9f6c6e38458976f0edbf74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XHNGFPYPECLPZJG7WN7FXPIHGP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Tree-guided CNN for image super-resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Bob Zhang, Chunwei Tian, David Zhang, Mingjian Song, Xiangtao Zheng, Xiaopeng Fan","submitted_at":"2025-06-03T08:05:11Z","abstract_excerpt":"Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not easy to find effect of important layers in a single network architecture to decrease performance of super-resolution. In this paper, we design a tree-guided CNN for image super-resolution (TSRNet). It uses a tree architecture to guide a deep network to enhance effect of key nodes to amplify the relation of hierarchical information for improving the ability of recovering images. To prevent insufficiency of the obtaine"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02585","kind":"arxiv","version":1},"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/2506.02585/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":"2026-07-05T11:15:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5CtavYf0J1f0c8/2GnLWZzeDoe9PF/3nL/dDg5BakTw6fxSU7SAmMeHMvWJC6mIkgVXxwwDEBahCAV6ofdEKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:44:17.181592Z"},"content_sha256":"0fd9245be14225457b9cf898250b35e0057f6d88917b81f1253666fb2ffe244b","schema_version":"1.0","event_id":"sha256:0fd9245be14225457b9cf898250b35e0057f6d88917b81f1253666fb2ffe244b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XHNGFPYPECLPZJG7WN7FXPIHGP/bundle.json","state_url":"https://pith.science/pith/XHNGFPYPECLPZJG7WN7FXPIHGP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XHNGFPYPECLPZJG7WN7FXPIHGP/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":"2026-08-07T21:44:17Z","links":{"resolver":"https://pith.science/pith/XHNGFPYPECLPZJG7WN7FXPIHGP","bundle":"https://pith.science/pith/XHNGFPYPECLPZJG7WN7FXPIHGP/bundle.json","state":"https://pith.science/pith/XHNGFPYPECLPZJG7WN7FXPIHGP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XHNGFPYPECLPZJG7WN7FXPIHGP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XHNGFPYPECLPZJG7WN7FXPIHGP","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":"fe4c49bc6f1add4857d47d9a70ef247e9e439096506ab1b31e67bb8e2554571a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-03T08:05:11Z","title_canon_sha256":"aeec557f7c982ba10dbe4b384c978ab668eb74f17cc0058590f0c882db7916c7"},"schema_version":"1.0","source":{"id":"2506.02585","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02585","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02585v1","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02585","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"pith_short_12","alias_value":"XHNGFPYPECLP","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"pith_short_16","alias_value":"XHNGFPYPECLPZJG7","created_at":"2026-07-05T11:15:04Z"},{"alias_kind":"pith_short_8","alias_value":"XHNGFPYP","created_at":"2026-07-05T11:15:04Z"}],"graph_snapshots":[{"event_id":"sha256:0fd9245be14225457b9cf898250b35e0057f6d88917b81f1253666fb2ffe244b","target":"graph","created_at":"2026-07-05T11:15:04Z","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/2506.02585/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not easy to find effect of important layers in a single network architecture to decrease performance of super-resolution. In this paper, we design a tree-guided CNN for image super-resolution (TSRNet). It uses a tree architecture to guide a deep network to enhance effect of key nodes to amplify the relation of hierarchical information for improving the ability of recovering images. To prevent insufficiency of the obtaine","authors_text":"Bob Zhang, Chunwei Tian, David Zhang, Mingjian Song, Xiangtao Zheng, Xiaopeng Fan","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-03T08:05:11Z","title":"A Tree-guided CNN for image super-resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02585","kind":"arxiv","version":1},"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":"sha256:4f2d5969367246c9f3490e4c942a8e28a95899dc8c9f6c6e38458976f0edbf74","target":"record","created_at":"2026-07-05T11:15:04Z","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":"fe4c49bc6f1add4857d47d9a70ef247e9e439096506ab1b31e67bb8e2554571a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-03T08:05:11Z","title_canon_sha256":"aeec557f7c982ba10dbe4b384c978ab668eb74f17cc0058590f0c882db7916c7"},"schema_version":"1.0","source":{"id":"2506.02585","kind":"arxiv","version":1}},"canonical_sha256":"b9da62bf0f2096fca4dfb37e5bbd0733e4219c72a04b1b2ee28ae37b5a676f6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9da62bf0f2096fca4dfb37e5bbd0733e4219c72a04b1b2ee28ae37b5a676f6e","first_computed_at":"2026-07-05T11:15:04.795034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:04.795034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tN1mJGGuHiufLNQCThiVk9CqOWN35s7Q97fPUReIknSsJR8252yZFl781g+xxdljR+mK5+183GtlTljGlss9Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:04.795583Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02585","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f2d5969367246c9f3490e4c942a8e28a95899dc8c9f6c6e38458976f0edbf74","sha256:0fd9245be14225457b9cf898250b35e0057f6d88917b81f1253666fb2ffe244b"],"state_sha256":"57284a83336c64641eecba88d9a964cad5a1c329105a3e4c29b7efe4cb3e1468"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gndtl2oKHTrb4MGoV4xelPmjZJajf3nzUa5ltPeRWlINEX9LCgHJh+LLbk6jAqMTHTOrBLK3oFREVUFkJtL1Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:44:17.185125Z","bundle_sha256":"a5b86e00ed7fcbaeac9fd106b88b6b406fac5348a5d7f4e1adcc4b6a1acc2f29"}}