{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LAD3KW4LJNQT22KL6P35QHZYIY","short_pith_number":"pith:LAD3KW4L","canonical_record":{"source":{"id":"2308.05872","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-10T22:57:31Z","cross_cats_sorted":[],"title_canon_sha256":"2d759f0519e8ba835f62b7c945d80952fccb76da23459c1ab78c0021921bd0f5","abstract_canon_sha256":"46c11960f5ea4cd0a0d0cd70ed62613d8fb468010de2ad53e3bec760e3f513f6"},"schema_version":"1.0"},"canonical_sha256":"5807b55b8b4b613d694bf3f7d81f384628738add6e83dd96b7abf0008119a054","source":{"kind":"arxiv","id":"2308.05872","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.05872","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"arxiv_version","alias_value":"2308.05872v2","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.05872","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"pith_short_12","alias_value":"LAD3KW4LJNQT","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"pith_short_16","alias_value":"LAD3KW4LJNQT22KL","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"pith_short_8","alias_value":"LAD3KW4L","created_at":"2026-07-05T06:41:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LAD3KW4LJNQT22KL6P35QHZYIY","target":"record","payload":{"canonical_record":{"source":{"id":"2308.05872","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-10T22:57:31Z","cross_cats_sorted":[],"title_canon_sha256":"2d759f0519e8ba835f62b7c945d80952fccb76da23459c1ab78c0021921bd0f5","abstract_canon_sha256":"46c11960f5ea4cd0a0d0cd70ed62613d8fb468010de2ad53e3bec760e3f513f6"},"schema_version":"1.0"},"canonical_sha256":"5807b55b8b4b613d694bf3f7d81f384628738add6e83dd96b7abf0008119a054","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:22.746677Z","signature_b64":"bRxaV6HcMRyuA7aqVSxnekdUtl6lwUBnHj5v0FL0I0TryW0uq3yjbzlmRP+9x/yrqdfVtfNzcGzcKjLlhYpbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5807b55b8b4b613d694bf3f7d81f384628738add6e83dd96b7abf0008119a054","last_reissued_at":"2026-07-05T06:41:22.746112Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:22.746112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.05872","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":"2026-07-05T06:41:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Qssx5ofaKwLRpV+TZUnewZjpoPkrO4rZue/7eIRZy8D6hOWov3FB28ycz0+mqIJB58CiUCAJxk0Iftlwpr5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:50:18.934938Z"},"content_sha256":"e19cba3a5f683fd7044a70f5caa1c59bbaa3a61b1014f481be9d8b892bb35594","schema_version":"1.0","event_id":"sha256:e19cba3a5f683fd7044a70f5caa1c59bbaa3a61b1014f481be9d8b892bb35594"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LAD3KW4LJNQT22KL6P35QHZYIY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bochen Guan, Liang Shang, Nagesh Adluru, Shuxue Quan, William A. Sethares, Yanli Liu, Zhengyang Lou","submitted_at":"2023-08-10T22:57:31Z","abstract_excerpt":"Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks. However, many architectures do not consider interactions between feature maps from different stages and scales, which may limit their performance. In this work, we propose a simple add-on attention module to overcome these limitations via multi-stage and cross-scale interactions. Specifically, the proposed Multi-Stage Cross-Scale Attention (MSCSA) module takes feature maps from different stages to enable multi-stage interactions and achieves cross-scale interactions by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.05872","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/2308.05872/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":"2026-07-05T06:41:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zP6AQVvEs5vYNPguf2K2ZgMJdEqfXqwyokuhPrFdEK6liNNabe8nPlDDjfe8N5Q8JaagP49p4/+ZpZAyeRlAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:50:18.935504Z"},"content_sha256":"2b8a27f60a772749ede47481c8a6e7d0b29a9086edd259b09ae81e620c62bb4d","schema_version":"1.0","event_id":"sha256:2b8a27f60a772749ede47481c8a6e7d0b29a9086edd259b09ae81e620c62bb4d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LAD3KW4LJNQT22KL6P35QHZYIY/bundle.json","state_url":"https://pith.science/pith/LAD3KW4LJNQT22KL6P35QHZYIY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LAD3KW4LJNQT22KL6P35QHZYIY/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":"2026-08-05T11:50:18Z","links":{"resolver":"https://pith.science/pith/LAD3KW4LJNQT22KL6P35QHZYIY","bundle":"https://pith.science/pith/LAD3KW4LJNQT22KL6P35QHZYIY/bundle.json","state":"https://pith.science/pith/LAD3KW4LJNQT22KL6P35QHZYIY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LAD3KW4LJNQT22KL6P35QHZYIY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LAD3KW4LJNQT22KL6P35QHZYIY","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":"46c11960f5ea4cd0a0d0cd70ed62613d8fb468010de2ad53e3bec760e3f513f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-10T22:57:31Z","title_canon_sha256":"2d759f0519e8ba835f62b7c945d80952fccb76da23459c1ab78c0021921bd0f5"},"schema_version":"1.0","source":{"id":"2308.05872","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.05872","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"arxiv_version","alias_value":"2308.05872v2","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.05872","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"pith_short_12","alias_value":"LAD3KW4LJNQT","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"pith_short_16","alias_value":"LAD3KW4LJNQT22KL","created_at":"2026-07-05T06:41:22Z"},{"alias_kind":"pith_short_8","alias_value":"LAD3KW4L","created_at":"2026-07-05T06:41:22Z"}],"graph_snapshots":[{"event_id":"sha256:2b8a27f60a772749ede47481c8a6e7d0b29a9086edd259b09ae81e620c62bb4d","target":"graph","created_at":"2026-07-05T06:41:22Z","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/2308.05872/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks. However, many architectures do not consider interactions between feature maps from different stages and scales, which may limit their performance. In this work, we propose a simple add-on attention module to overcome these limitations via multi-stage and cross-scale interactions. Specifically, the proposed Multi-Stage Cross-Scale Attention (MSCSA) module takes feature maps from different stages to enable multi-stage interactions and achieves cross-scale interactions by ","authors_text":"Bochen Guan, Liang Shang, Nagesh Adluru, Shuxue Quan, William A. Sethares, Yanli Liu, Zhengyang Lou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-10T22:57:31Z","title":"Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.05872","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:e19cba3a5f683fd7044a70f5caa1c59bbaa3a61b1014f481be9d8b892bb35594","target":"record","created_at":"2026-07-05T06:41:22Z","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":"46c11960f5ea4cd0a0d0cd70ed62613d8fb468010de2ad53e3bec760e3f513f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-10T22:57:31Z","title_canon_sha256":"2d759f0519e8ba835f62b7c945d80952fccb76da23459c1ab78c0021921bd0f5"},"schema_version":"1.0","source":{"id":"2308.05872","kind":"arxiv","version":2}},"canonical_sha256":"5807b55b8b4b613d694bf3f7d81f384628738add6e83dd96b7abf0008119a054","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5807b55b8b4b613d694bf3f7d81f384628738add6e83dd96b7abf0008119a054","first_computed_at":"2026-07-05T06:41:22.746112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:22.746112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bRxaV6HcMRyuA7aqVSxnekdUtl6lwUBnHj5v0FL0I0TryW0uq3yjbzlmRP+9x/yrqdfVtfNzcGzcKjLlhYpbBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:22.746677Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.05872","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e19cba3a5f683fd7044a70f5caa1c59bbaa3a61b1014f481be9d8b892bb35594","sha256:2b8a27f60a772749ede47481c8a6e7d0b29a9086edd259b09ae81e620c62bb4d"],"state_sha256":"e95c839e5f38a04d8d0356ee0be45cf27a0e3ffe4f6c1c994deb32412d2012f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ULLzI8k+S4Ts55VHcitSZA9+3dL/8Bbn0OrGzD3vydZ8OTNx4aNb61PAWlAKwmUWAY0H5zKe/oHviPdoWrQnBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:50:18.939522Z","bundle_sha256":"922bec8158d70bdfbfb94cc9b0b8e391ccccb7241b6da36706d25d1f09ba3e18"}}