{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5MIKJOQNN3DVNHZZBQ4P6NVJUP","short_pith_number":"pith:5MIKJOQN","canonical_record":{"source":{"id":"2407.02283","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T14:12:21Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e9e62d64603cbe3a2c4541855ed08cb920efb0dd4685d93137ad89b971c5bf2a","abstract_canon_sha256":"56371738ec96d74f5aeb771915af72007d3bf1d6260bebf42a9d5dc47bce0f91"},"schema_version":"1.0"},"canonical_sha256":"eb10a4ba0d6ec7569f390c38ff36a9a3cde32c6148cd17ce3fcff7cfa89c515e","source":{"kind":"arxiv","id":"2407.02283","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.02283","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"arxiv_version","alias_value":"2407.02283v2","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.02283","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"pith_short_12","alias_value":"5MIKJOQNN3DV","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"pith_short_16","alias_value":"5MIKJOQNN3DVNHZZ","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"pith_short_8","alias_value":"5MIKJOQN","created_at":"2026-07-05T10:11:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5MIKJOQNN3DVNHZZBQ4P6NVJUP","target":"record","payload":{"canonical_record":{"source":{"id":"2407.02283","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T14:12:21Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e9e62d64603cbe3a2c4541855ed08cb920efb0dd4685d93137ad89b971c5bf2a","abstract_canon_sha256":"56371738ec96d74f5aeb771915af72007d3bf1d6260bebf42a9d5dc47bce0f91"},"schema_version":"1.0"},"canonical_sha256":"eb10a4ba0d6ec7569f390c38ff36a9a3cde32c6148cd17ce3fcff7cfa89c515e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:21.556588Z","signature_b64":"gyciw29+jnRgEG3MdlF+NZshpKpiHkucE+clwy5SM7rPAwfVdBD2DeDgZBof9sA6m2s060wZgG314v7x6ZgJAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb10a4ba0d6ec7569f390c38ff36a9a3cde32c6148cd17ce3fcff7cfa89c515e","last_reissued_at":"2026-07-05T10:11:21.556069Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:21.556069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.02283","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:11:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ihC8prdDkNmLZCM4BZVD5+M3YoKo5PQsygQ5o67Wf/Kau4rJe2baCeE+kLDWHfwRF90Tj55x1miwJddcwfeUBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:23:03.925542Z"},"content_sha256":"533c8e4c11e1457427fea2a6623923abd35328b10c9d734d35f451a306a413f1","schema_version":"1.0","event_id":"sha256:533c8e4c11e1457427fea2a6623923abd35328b10c9d734d35f451a306a413f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5MIKJOQNN3DVNHZZBQ4P6NVJUP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Deyu Meng, Hong Wang, Minghao Zhou, Yefeng Zheng","submitted_at":"2024-07-02T14:12:21Z","abstract_excerpt":"Feature upsampling is a fundamental and indispensable ingredient of almost all current network structures for dense prediction tasks. Recently, a popular similarity-based feature upsampling pipeline has been proposed, which utilizes a high-resolution feature as guidance to help upsample the low-resolution deep feature based on their local similarity. Albeit achieving promising performance, this pipeline has specific limitations: 1) HR query and LR key features are not well aligned; 2) the similarity between query-key features is computed based on the fixed inner product form; 3) neighbor selec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.02283","kind":"arxiv","version":2},"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/2407.02283/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":"2026-07-05T10:11:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bTIL22bxZlSpGuYM/IzTOr2dQ+UuZeFf+p5Zox8Ye1CvRqKPXoCy9LaNrbXvYy4XYWU2wYzKwXAOtOfC9mMVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:23:03.926124Z"},"content_sha256":"b4d00765763ac7f67fec9550856dda5a4e88f558b2777870f6abb901471418f1","schema_version":"1.0","event_id":"sha256:b4d00765763ac7f67fec9550856dda5a4e88f558b2777870f6abb901471418f1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP/bundle.json","state_url":"https://pith.science/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP/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":"2026-08-10T01:23:03Z","links":{"resolver":"https://pith.science/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP","bundle":"https://pith.science/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP/bundle.json","state":"https://pith.science/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5MIKJOQNN3DVNHZZBQ4P6NVJUP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5MIKJOQNN3DVNHZZBQ4P6NVJUP","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":"56371738ec96d74f5aeb771915af72007d3bf1d6260bebf42a9d5dc47bce0f91","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T14:12:21Z","title_canon_sha256":"e9e62d64603cbe3a2c4541855ed08cb920efb0dd4685d93137ad89b971c5bf2a"},"schema_version":"1.0","source":{"id":"2407.02283","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.02283","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"arxiv_version","alias_value":"2407.02283v2","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.02283","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"pith_short_12","alias_value":"5MIKJOQNN3DV","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"pith_short_16","alias_value":"5MIKJOQNN3DVNHZZ","created_at":"2026-07-05T10:11:21Z"},{"alias_kind":"pith_short_8","alias_value":"5MIKJOQN","created_at":"2026-07-05T10:11:21Z"}],"graph_snapshots":[{"event_id":"sha256:b4d00765763ac7f67fec9550856dda5a4e88f558b2777870f6abb901471418f1","target":"graph","created_at":"2026-07-05T10:11:21Z","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/2407.02283/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature upsampling is a fundamental and indispensable ingredient of almost all current network structures for dense prediction tasks. Recently, a popular similarity-based feature upsampling pipeline has been proposed, which utilizes a high-resolution feature as guidance to help upsample the low-resolution deep feature based on their local similarity. Albeit achieving promising performance, this pipeline has specific limitations: 1) HR query and LR key features are not well aligned; 2) the similarity between query-key features is computed based on the fixed inner product form; 3) neighbor selec","authors_text":"Deyu Meng, Hong Wang, Minghao Zhou, Yefeng Zheng","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T14:12:21Z","title":"A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.02283","kind":"arxiv","version":2},"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":"sha256:533c8e4c11e1457427fea2a6623923abd35328b10c9d734d35f451a306a413f1","target":"record","created_at":"2026-07-05T10:11:21Z","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":"56371738ec96d74f5aeb771915af72007d3bf1d6260bebf42a9d5dc47bce0f91","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T14:12:21Z","title_canon_sha256":"e9e62d64603cbe3a2c4541855ed08cb920efb0dd4685d93137ad89b971c5bf2a"},"schema_version":"1.0","source":{"id":"2407.02283","kind":"arxiv","version":2}},"canonical_sha256":"eb10a4ba0d6ec7569f390c38ff36a9a3cde32c6148cd17ce3fcff7cfa89c515e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb10a4ba0d6ec7569f390c38ff36a9a3cde32c6148cd17ce3fcff7cfa89c515e","first_computed_at":"2026-07-05T10:11:21.556069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:21.556069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gyciw29+jnRgEG3MdlF+NZshpKpiHkucE+clwy5SM7rPAwfVdBD2DeDgZBof9sA6m2s060wZgG314v7x6ZgJAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:21.556588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.02283","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:533c8e4c11e1457427fea2a6623923abd35328b10c9d734d35f451a306a413f1","sha256:b4d00765763ac7f67fec9550856dda5a4e88f558b2777870f6abb901471418f1"],"state_sha256":"5a7778480c0dce97ecde0ef0c5b71774d2dabb81d8b8557f606a365f6627394f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WHJBaeoy60WsEwviUURUz6igG5Fd+zP1F0QaWxn79p7QYmCgvJgO96ovFTectetkvhs7CN+k/vXM4esPW8MuAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T01:23:03.931847Z","bundle_sha256":"a7d0bcba16556f359e5be9668037070c1bff62726f5764636c3f9f87be0c75c2"}}