{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:H3VZQ2E5LKB2AQS7UB7HUKGKUM","short_pith_number":"pith:H3VZQ2E5","canonical_record":{"source":{"id":"2104.06977","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-14T17:01:03Z","cross_cats_sorted":[],"title_canon_sha256":"7ba460ac8fba1173e5c0c603edad88003a59b9b76863947eb60fe12d687df240","abstract_canon_sha256":"15582ee5dffc9116dd708b54cc2556950700bd0db0f9dbb35ae033dc772e2c3c"},"schema_version":"1.0"},"canonical_sha256":"3eeb98689d5a83a0425fa07e7a28caa334d7e9d240883425cfd3d74e54661a8a","source":{"kind":"arxiv","id":"2104.06977","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.06977","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"arxiv_version","alias_value":"2104.06977v3","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.06977","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"pith_short_12","alias_value":"H3VZQ2E5LKB2","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"pith_short_16","alias_value":"H3VZQ2E5LKB2AQS7","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"pith_short_8","alias_value":"H3VZQ2E5","created_at":"2026-07-05T04:16:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:H3VZQ2E5LKB2AQS7UB7HUKGKUM","target":"record","payload":{"canonical_record":{"source":{"id":"2104.06977","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-14T17:01:03Z","cross_cats_sorted":[],"title_canon_sha256":"7ba460ac8fba1173e5c0c603edad88003a59b9b76863947eb60fe12d687df240","abstract_canon_sha256":"15582ee5dffc9116dd708b54cc2556950700bd0db0f9dbb35ae033dc772e2c3c"},"schema_version":"1.0"},"canonical_sha256":"3eeb98689d5a83a0425fa07e7a28caa334d7e9d240883425cfd3d74e54661a8a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:16:35.502035Z","signature_b64":"UB3b75vHoul5CZhJMbaVkiK379nMDNCznRZFN25EHHeXAU1RPIzPqb3/Fnfr8p+H4WNqn7mGhj3YBALBy833Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3eeb98689d5a83a0425fa07e7a28caa334d7e9d240883425cfd3d74e54661a8a","last_reissued_at":"2026-07-05T04:16:35.501510Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:16:35.501510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.06977","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:16:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ldcCJ8WX4k2ZUGUhwUdHzg87Ray69DnCIofwYItmWy3zYNjZLR4AjMbphjVj16++tJMld9lPTZMPQRdEZB4PDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T02:39:30.993826Z"},"content_sha256":"cf8eaae5263c7560cd12848ef428a09287844269c23f0d08d9989311d0a4a66c","schema_version":"1.0","event_id":"sha256:cf8eaae5263c7560cd12848ef428a09287844269c23f0d08d9989311d0a4a66c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:H3VZQ2E5LKB2AQS7UB7HUKGKUM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discrete Cosine Transform Network for Guided Depth Map Super-Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanspeter Pfister, Jiangshe Zhang, Shuang Xu, Zixiang Zhao, Zudi Lin","submitted_at":"2021-04-14T17:01:03Z","abstract_excerpt":"Guided depth super-resolution (GDSR) is an essential topic in multi-modal image processing, which reconstructs high-resolution (HR) depth maps from low-resolution ones collected with suboptimal conditions with the help of HR RGB images of the same scene. To solve the challenges in interpreting the working mechanism, extracting cross-modal features and RGB texture over-transferred, we propose a novel Discrete Cosine Transform Network (DCTNet) to alleviate the problems from three aspects. First, the Discrete Cosine Transform (DCT) module reconstructs the multi-channel HR depth features by using "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.06977","kind":"arxiv","version":3},"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/2104.06977/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":"2026-07-05T04:16:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m3wm2AKIxlMYMcVCfX0loWfi6lH+hfLiKNonEJXDZXIcw44jIsMpjJ1cLZ+0DcgTD/1ZyBQL86m5smbqnP6/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T02:39:30.994743Z"},"content_sha256":"6b4ff4e7a181fa787039fa25d566095f3e40fcf9b358520096e3a4027b0ec231","schema_version":"1.0","event_id":"sha256:6b4ff4e7a181fa787039fa25d566095f3e40fcf9b358520096e3a4027b0ec231"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM/bundle.json","state_url":"https://pith.science/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM/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":"2026-08-17T02:39:30Z","links":{"resolver":"https://pith.science/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM","bundle":"https://pith.science/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM/bundle.json","state":"https://pith.science/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H3VZQ2E5LKB2AQS7UB7HUKGKUM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:H3VZQ2E5LKB2AQS7UB7HUKGKUM","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":"15582ee5dffc9116dd708b54cc2556950700bd0db0f9dbb35ae033dc772e2c3c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-14T17:01:03Z","title_canon_sha256":"7ba460ac8fba1173e5c0c603edad88003a59b9b76863947eb60fe12d687df240"},"schema_version":"1.0","source":{"id":"2104.06977","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.06977","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"arxiv_version","alias_value":"2104.06977v3","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.06977","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"pith_short_12","alias_value":"H3VZQ2E5LKB2","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"pith_short_16","alias_value":"H3VZQ2E5LKB2AQS7","created_at":"2026-07-05T04:16:35Z"},{"alias_kind":"pith_short_8","alias_value":"H3VZQ2E5","created_at":"2026-07-05T04:16:35Z"}],"graph_snapshots":[{"event_id":"sha256:6b4ff4e7a181fa787039fa25d566095f3e40fcf9b358520096e3a4027b0ec231","target":"graph","created_at":"2026-07-05T04:16:35Z","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/2104.06977/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Guided depth super-resolution (GDSR) is an essential topic in multi-modal image processing, which reconstructs high-resolution (HR) depth maps from low-resolution ones collected with suboptimal conditions with the help of HR RGB images of the same scene. To solve the challenges in interpreting the working mechanism, extracting cross-modal features and RGB texture over-transferred, we propose a novel Discrete Cosine Transform Network (DCTNet) to alleviate the problems from three aspects. First, the Discrete Cosine Transform (DCT) module reconstructs the multi-channel HR depth features by using ","authors_text":"Hanspeter Pfister, Jiangshe Zhang, Shuang Xu, Zixiang Zhao, Zudi Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-14T17:01:03Z","title":"Discrete Cosine Transform Network for Guided Depth Map Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.06977","kind":"arxiv","version":3},"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:cf8eaae5263c7560cd12848ef428a09287844269c23f0d08d9989311d0a4a66c","target":"record","created_at":"2026-07-05T04:16:35Z","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":"15582ee5dffc9116dd708b54cc2556950700bd0db0f9dbb35ae033dc772e2c3c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-14T17:01:03Z","title_canon_sha256":"7ba460ac8fba1173e5c0c603edad88003a59b9b76863947eb60fe12d687df240"},"schema_version":"1.0","source":{"id":"2104.06977","kind":"arxiv","version":3}},"canonical_sha256":"3eeb98689d5a83a0425fa07e7a28caa334d7e9d240883425cfd3d74e54661a8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3eeb98689d5a83a0425fa07e7a28caa334d7e9d240883425cfd3d74e54661a8a","first_computed_at":"2026-07-05T04:16:35.501510Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:16:35.501510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UB3b75vHoul5CZhJMbaVkiK379nMDNCznRZFN25EHHeXAU1RPIzPqb3/Fnfr8p+H4WNqn7mGhj3YBALBy833Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:16:35.502035Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.06977","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf8eaae5263c7560cd12848ef428a09287844269c23f0d08d9989311d0a4a66c","sha256:6b4ff4e7a181fa787039fa25d566095f3e40fcf9b358520096e3a4027b0ec231"],"state_sha256":"4964bdea7cdf895099b522a0304a524ceb1867b3f211887595108ae5e0eb50a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zE0X58/aXAh9R/ca11fJ1s4Xjz+PhZ9zRGvgShNlYo6Clhe2FeCSg71QabAFynZJSISf94gk4a+lkw7BvDaNCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T02:39:31.001087Z","bundle_sha256":"313c2cafd7b02bbf956c98cd93d4cac8ad42edaa6f73353cf063f2203dc3ce84"}}