{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ANSF2ROZFWKXJSV336ZMUSMKSC","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":"a8d90ccedf63c4093c3321ff924140755152daa7264956e80aea55791a134b22","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-02T09:12:23Z","title_canon_sha256":"02973f5464c6483b9a48c906c065191d462f86d20583b322421b0903e2d2bced"},"schema_version":"1.0","source":{"id":"2006.01469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.01469","created_at":"2026-07-05T01:07:17Z"},{"alias_kind":"arxiv_version","alias_value":"2006.01469v1","created_at":"2026-07-05T01:07:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.01469","created_at":"2026-07-05T01:07:17Z"},{"alias_kind":"pith_short_12","alias_value":"ANSF2ROZFWKX","created_at":"2026-07-05T01:07:17Z"},{"alias_kind":"pith_short_16","alias_value":"ANSF2ROZFWKXJSV3","created_at":"2026-07-05T01:07:17Z"},{"alias_kind":"pith_short_8","alias_value":"ANSF2ROZ","created_at":"2026-07-05T01:07:17Z"}],"graph_snapshots":[{"event_id":"sha256:490be4a3505b7b41ed1d8216f1eb730c32e84132ef867cbf6fb346e240b6c5c4","target":"graph","created_at":"2026-07-05T01:07:17Z","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/2006.01469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the remarkable progresses made in deep-learning based depth map super-resolution (DSR), how to tackle real-world degradation in low-resolution (LR) depth maps remains a major challenge. Existing DSR model is generally trained and tested on synthetic dataset, which is very different from what would get from a real depth sensor. In this paper, we argue that DSR models trained under this setting are restrictive and not effective in dealing with real-world DSR tasks. We make two contributions in tackling real-world degradation of different depth sensors. First, we propose to classify the g","authors_text":"Dingfu Zhou, Hongdng Li, Liu Liu, Ruigang Yang, Wei Li, Xibin Song, Yuchao Dai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-02T09:12:23Z","title":"Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.01469","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:c8a0378b3694f90f0a7062ac0fffe2e462bf1fa0b81b59488ae3197bccef985e","target":"record","created_at":"2026-07-05T01:07:17Z","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":"a8d90ccedf63c4093c3321ff924140755152daa7264956e80aea55791a134b22","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-02T09:12:23Z","title_canon_sha256":"02973f5464c6483b9a48c906c065191d462f86d20583b322421b0903e2d2bced"},"schema_version":"1.0","source":{"id":"2006.01469","kind":"arxiv","version":1}},"canonical_sha256":"03645d45d92d9574cabbdfb2ca498a90aa22036d589af221d2fb938b7d66b021","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03645d45d92d9574cabbdfb2ca498a90aa22036d589af221d2fb938b7d66b021","first_computed_at":"2026-07-05T01:07:17.830324Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:07:17.830324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uYgBqjDpyAjyqJl2Dr+LDRuaNXsnql5Z0ZgZ433oYQtsrOgF3rg+g3OvRGklF8Af8MDbruv8jDsaaj0qi+/7Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:07:17.830749Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.01469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8a0378b3694f90f0a7062ac0fffe2e462bf1fa0b81b59488ae3197bccef985e","sha256:490be4a3505b7b41ed1d8216f1eb730c32e84132ef867cbf6fb346e240b6c5c4"],"state_sha256":"7031e786803cdec1a29df9cb264aaf2b6f5d8033d5a55f0006b1c41e8ca6f0c8"}