{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:5MKRCYXIEOW2HLKOQ3SUZ5PO2O","short_pith_number":"pith:5MKRCYXI","canonical_record":{"source":{"id":"2206.01772","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T18:29:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dd4cf8d3d918b076729ca782b27983461e2d699862e9aeb4239345d9d6c9f158","abstract_canon_sha256":"07f613c5f5af595a9e6cc2b9113a0be226f9818543f4a84f5c38d5fbc387a33b"},"schema_version":"1.0"},"canonical_sha256":"eb151162e823ada3ad4e86e54cf5eed3abf00325c5e5a1e7335e63118aff0c67","source":{"kind":"arxiv","id":"2206.01772","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.01772","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2206.01772v1","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.01772","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"5MKRCYXIEOW2","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"5MKRCYXIEOW2HLKO","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"5MKRCYXI","created_at":"2026-07-05T05:04:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:5MKRCYXIEOW2HLKOQ3SUZ5PO2O","target":"record","payload":{"canonical_record":{"source":{"id":"2206.01772","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T18:29:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dd4cf8d3d918b076729ca782b27983461e2d699862e9aeb4239345d9d6c9f158","abstract_canon_sha256":"07f613c5f5af595a9e6cc2b9113a0be226f9818543f4a84f5c38d5fbc387a33b"},"schema_version":"1.0"},"canonical_sha256":"eb151162e823ada3ad4e86e54cf5eed3abf00325c5e5a1e7335e63118aff0c67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:13.490305Z","signature_b64":"umvD3gzHBzyp4s/i+0oKRYfz1fvJJin//c7YPugUzg1MprEt1RoIU8Q+UmEwY7UXe7RT/dhduCim/nUEe03iDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb151162e823ada3ad4e86e54cf5eed3abf00325c5e5a1e7335e63118aff0c67","last_reissued_at":"2026-07-05T05:04:13.489860Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:13.489860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.01772","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":"2026-07-05T05:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Q6Gvc5k/XDWcGfA86wO/xLoujIaAeCnU3FHwv3TjwXKoU+gPt7G9+OHfU5xc+K0I5cR4755xr6KPBvaUqN/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T13:16:07.588927Z"},"content_sha256":"7401fd894089cdd81f2d615db8cd24ea0070eeaa47307cbebc1e7a0925070748","schema_version":"1.0","event_id":"sha256:7401fd894089cdd81f2d615db8cd24ea0070eeaa47307cbebc1e7a0925070748"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:5MKRCYXIEOW2HLKOQ3SUZ5PO2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hemant Kumawat, Saibal Mukhopadhyay","submitted_at":"2022-06-03T18:29:55Z","abstract_excerpt":"An autonomous system's perception engine must provide an accurate understanding of the environment for it to make decisions. Deep learning based object detection networks experience degradation in the performance and robustness for small and far away objects due to a reduction in object's feature map as we move to higher layers of the network. In this work, we propose a novel radar-guided spatial attention for RGB images to improve the perception quality of autonomous vehicles operating in a dynamic environment. In particular, our method improves the perception of small and long range objects,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.01772","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/2206.01772/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":"2026-07-05T05:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UoK0lBq54ZW2ThsaoLxk2/bWKJx+tddBliuTaauFqUDProM87Xv47lp6tj/biY+w+LbA0r9pVLqlrZpBryGfDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T13:16:07.589477Z"},"content_sha256":"411833f48e509d32dd923b8047224d5a2823514f0e91bb9ade16ec4b12f85a2b","schema_version":"1.0","event_id":"sha256:411833f48e509d32dd923b8047224d5a2823514f0e91bb9ade16ec4b12f85a2b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O/bundle.json","state_url":"https://pith.science/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O/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":"2026-08-20T13:16:07Z","links":{"resolver":"https://pith.science/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O","bundle":"https://pith.science/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O/bundle.json","state":"https://pith.science/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5MKRCYXIEOW2HLKOQ3SUZ5PO2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5MKRCYXIEOW2HLKOQ3SUZ5PO2O","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":"07f613c5f5af595a9e6cc2b9113a0be226f9818543f4a84f5c38d5fbc387a33b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T18:29:55Z","title_canon_sha256":"dd4cf8d3d918b076729ca782b27983461e2d699862e9aeb4239345d9d6c9f158"},"schema_version":"1.0","source":{"id":"2206.01772","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.01772","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2206.01772v1","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.01772","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"5MKRCYXIEOW2","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"5MKRCYXIEOW2HLKO","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"5MKRCYXI","created_at":"2026-07-05T05:04:13Z"}],"graph_snapshots":[{"event_id":"sha256:411833f48e509d32dd923b8047224d5a2823514f0e91bb9ade16ec4b12f85a2b","target":"graph","created_at":"2026-07-05T05:04:13Z","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/2206.01772/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An autonomous system's perception engine must provide an accurate understanding of the environment for it to make decisions. Deep learning based object detection networks experience degradation in the performance and robustness for small and far away objects due to a reduction in object's feature map as we move to higher layers of the network. In this work, we propose a novel radar-guided spatial attention for RGB images to improve the perception quality of autonomous vehicles operating in a dynamic environment. In particular, our method improves the perception of small and long range objects,","authors_text":"Hemant Kumawat, Saibal Mukhopadhyay","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T18:29:55Z","title":"Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.01772","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":"sha256:7401fd894089cdd81f2d615db8cd24ea0070eeaa47307cbebc1e7a0925070748","target":"record","created_at":"2026-07-05T05:04:13Z","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":"07f613c5f5af595a9e6cc2b9113a0be226f9818543f4a84f5c38d5fbc387a33b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T18:29:55Z","title_canon_sha256":"dd4cf8d3d918b076729ca782b27983461e2d699862e9aeb4239345d9d6c9f158"},"schema_version":"1.0","source":{"id":"2206.01772","kind":"arxiv","version":1}},"canonical_sha256":"eb151162e823ada3ad4e86e54cf5eed3abf00325c5e5a1e7335e63118aff0c67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb151162e823ada3ad4e86e54cf5eed3abf00325c5e5a1e7335e63118aff0c67","first_computed_at":"2026-07-05T05:04:13.489860Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:13.489860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"umvD3gzHBzyp4s/i+0oKRYfz1fvJJin//c7YPugUzg1MprEt1RoIU8Q+UmEwY7UXe7RT/dhduCim/nUEe03iDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:13.490305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.01772","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7401fd894089cdd81f2d615db8cd24ea0070eeaa47307cbebc1e7a0925070748","sha256:411833f48e509d32dd923b8047224d5a2823514f0e91bb9ade16ec4b12f85a2b"],"state_sha256":"271b339969928e7dda558eefb6e8be65dc3c3e3363379669b4996af9025e520f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ibBQc6W2BjnbYxC/3XTBgGq4alFc2FDaDOuMpohF+CV1Xsc8VpASx2oakHMLZTcim0ZGe/edGM6o7ib/E0yDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T13:16:07.594102Z","bundle_sha256":"a8e9e6aa2e75a251b3c7050050478e5f2c6a47b891493929d483f6388cd0d3fa"}}