{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KDS6H2YDRX6UABMKKSVZQL3TSP","short_pith_number":"pith:KDS6H2YD","canonical_record":{"source":{"id":"2305.09211","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-05-16T06:40:04Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"9bf71559f1eed7930ca19852c50e97eee8390a2d3c97d1e9bd27994b4f26b761","abstract_canon_sha256":"6783eb3af471bfe8097ada0e106d4c819d8a13527b0975934ccf9a966d7e3aff"},"schema_version":"1.0"},"canonical_sha256":"50e5e3eb038dfd40058a54ab982f7393d6bc46f934b64c0d8084016591e9e69f","source":{"kind":"arxiv","id":"2305.09211","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09211","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09211v3","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09211","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"pith_short_12","alias_value":"KDS6H2YDRX6U","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"pith_short_16","alias_value":"KDS6H2YDRX6UABMK","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"pith_short_8","alias_value":"KDS6H2YD","created_at":"2026-07-05T07:05:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KDS6H2YDRX6UABMKKSVZQL3TSP","target":"record","payload":{"canonical_record":{"source":{"id":"2305.09211","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-05-16T06:40:04Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"9bf71559f1eed7930ca19852c50e97eee8390a2d3c97d1e9bd27994b4f26b761","abstract_canon_sha256":"6783eb3af471bfe8097ada0e106d4c819d8a13527b0975934ccf9a966d7e3aff"},"schema_version":"1.0"},"canonical_sha256":"50e5e3eb038dfd40058a54ab982f7393d6bc46f934b64c0d8084016591e9e69f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:05:42.858023Z","signature_b64":"SgKfriezYY3M/vVDk6fvWAxVlnjklpOkxBQXzIqI7uRHec1tXvAipetKhYhSFxmtyYU2Ojboj0OVXyEd95FOBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50e5e3eb038dfd40058a54ab982f7393d6bc46f934b64c0d8084016591e9e69f","last_reissued_at":"2026-07-05T07:05:42.857457Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:05:42.857457Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.09211","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":"2026-07-05T07:05:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b/V/RKkSmt+mZMzfJ6xRwR70D2/6w7SnBa4a/YBv42FEBXjjJjnz1XXSqfzfZ94J4p3C4akLMppy3FjbjtZmDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T12:00:53.672458Z"},"content_sha256":"075accdf46fe32ebdd26601f2ec6021bb67279f069d44c73f46fc8de7c3339c6","schema_version":"1.0","event_id":"sha256:075accdf46fe32ebdd26601f2ec6021bb67279f069d44c73f46fc8de7c3339c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KDS6H2YDRX6UABMKKSVZQL3TSP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Anabia Sohail, Asifullah Khan, Jeonghwan Gwak, Momina Liaqat Ali, Rafi Ullah, Zunaira Rauf","submitted_at":"2023-05-16T06:40:04Z","abstract_excerpt":"Transformers, due to their ability to learn long range dependencies, have overcome the shortcomings of convolutional neural networks (CNNs) for global perspective learning. Therefore, they have gained the focus of researchers for several vision related tasks including medical diagnosis. However, their multi-head attention module only captures global level feature representations, which is insufficient for medical images. To address this issue, we propose a Channel Boosted Hybrid Vision Transformer (CB HVT) that uses transfer learning to generate boosted channels and employs both transformers a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09211","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/2305.09211/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":"2026-07-05T07:05:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfowmD3whVYmqgh/69PeJ9bvW9rOEFTTQ6tZbyB9o1O+BBcxhGU5TvZF5y2xvvco8WCQcEgg9zuiG+8RptPUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T12:00:53.672828Z"},"content_sha256":"78986a536490b89c692d23e63e9a11cf81b1a16dc3b4280fe6029ee2d8c21d95","schema_version":"1.0","event_id":"sha256:78986a536490b89c692d23e63e9a11cf81b1a16dc3b4280fe6029ee2d8c21d95"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KDS6H2YDRX6UABMKKSVZQL3TSP/bundle.json","state_url":"https://pith.science/pith/KDS6H2YDRX6UABMKKSVZQL3TSP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KDS6H2YDRX6UABMKKSVZQL3TSP/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":"2026-07-24T12:00:53Z","links":{"resolver":"https://pith.science/pith/KDS6H2YDRX6UABMKKSVZQL3TSP","bundle":"https://pith.science/pith/KDS6H2YDRX6UABMKKSVZQL3TSP/bundle.json","state":"https://pith.science/pith/KDS6H2YDRX6UABMKKSVZQL3TSP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KDS6H2YDRX6UABMKKSVZQL3TSP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KDS6H2YDRX6UABMKKSVZQL3TSP","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":"6783eb3af471bfe8097ada0e106d4c819d8a13527b0975934ccf9a966d7e3aff","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-05-16T06:40:04Z","title_canon_sha256":"9bf71559f1eed7930ca19852c50e97eee8390a2d3c97d1e9bd27994b4f26b761"},"schema_version":"1.0","source":{"id":"2305.09211","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09211","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09211v3","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09211","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"pith_short_12","alias_value":"KDS6H2YDRX6U","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"pith_short_16","alias_value":"KDS6H2YDRX6UABMK","created_at":"2026-07-05T07:05:42Z"},{"alias_kind":"pith_short_8","alias_value":"KDS6H2YD","created_at":"2026-07-05T07:05:42Z"}],"graph_snapshots":[{"event_id":"sha256:78986a536490b89c692d23e63e9a11cf81b1a16dc3b4280fe6029ee2d8c21d95","target":"graph","created_at":"2026-07-05T07:05:42Z","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/2305.09211/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers, due to their ability to learn long range dependencies, have overcome the shortcomings of convolutional neural networks (CNNs) for global perspective learning. Therefore, they have gained the focus of researchers for several vision related tasks including medical diagnosis. However, their multi-head attention module only captures global level feature representations, which is insufficient for medical images. To address this issue, we propose a Channel Boosted Hybrid Vision Transformer (CB HVT) that uses transfer learning to generate boosted channels and employs both transformers a","authors_text":"Anabia Sohail, Asifullah Khan, Jeonghwan Gwak, Momina Liaqat Ali, Rafi Ullah, Zunaira Rauf","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-05-16T06:40:04Z","title":"CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09211","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":"sha256:075accdf46fe32ebdd26601f2ec6021bb67279f069d44c73f46fc8de7c3339c6","target":"record","created_at":"2026-07-05T07:05:42Z","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":"6783eb3af471bfe8097ada0e106d4c819d8a13527b0975934ccf9a966d7e3aff","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-05-16T06:40:04Z","title_canon_sha256":"9bf71559f1eed7930ca19852c50e97eee8390a2d3c97d1e9bd27994b4f26b761"},"schema_version":"1.0","source":{"id":"2305.09211","kind":"arxiv","version":3}},"canonical_sha256":"50e5e3eb038dfd40058a54ab982f7393d6bc46f934b64c0d8084016591e9e69f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50e5e3eb038dfd40058a54ab982f7393d6bc46f934b64c0d8084016591e9e69f","first_computed_at":"2026-07-05T07:05:42.857457Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:05:42.857457Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SgKfriezYY3M/vVDk6fvWAxVlnjklpOkxBQXzIqI7uRHec1tXvAipetKhYhSFxmtyYU2Ojboj0OVXyEd95FOBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:05:42.858023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.09211","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:075accdf46fe32ebdd26601f2ec6021bb67279f069d44c73f46fc8de7c3339c6","sha256:78986a536490b89c692d23e63e9a11cf81b1a16dc3b4280fe6029ee2d8c21d95"],"state_sha256":"6121d08079e2968c4d84b30038d96f311a0c3c998fe5191af14365bec4e6f91f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6j+mkl91/j0cDxOfjv8kmzP7mbuTvjbzCI9eksua/ms+gpedDVyoCPnbN9bNXuoD5WFOIHU9L7vhgHUmxYjGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T12:00:53.675099Z","bundle_sha256":"c631f68c6f9f70ae4e6e1ef662d29cb6cb20db565c4e42be7e42f5d1f7d4faeb"}}