{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:W7XHY5LLZSDAVVWYZDVJ47GGLM","short_pith_number":"pith:W7XHY5LL","canonical_record":{"source":{"id":"2203.11910","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-22T17:27:22Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"2562574576e4016cbf491ec1ac6b3a8f4a03dbc1ed3fa9ca6729cb51da3794b7","abstract_canon_sha256":"2203e06f0f6cca27ee42cf31a67d1ae24b51f13aa1c2ac979625daf0d8206286"},"schema_version":"1.0"},"canonical_sha256":"b7ee7c756bcc860ad6d8c8ea9e7cc65b1dada751d9050e1b04ef38c2a8c28859","source":{"kind":"arxiv","id":"2203.11910","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.11910","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"arxiv_version","alias_value":"2203.11910v1","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.11910","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"pith_short_12","alias_value":"W7XHY5LLZSDA","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"pith_short_16","alias_value":"W7XHY5LLZSDAVVWY","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"pith_short_8","alias_value":"W7XHY5LL","created_at":"2026-07-05T04:07:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:W7XHY5LLZSDAVVWYZDVJ47GGLM","target":"record","payload":{"canonical_record":{"source":{"id":"2203.11910","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-22T17:27:22Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"2562574576e4016cbf491ec1ac6b3a8f4a03dbc1ed3fa9ca6729cb51da3794b7","abstract_canon_sha256":"2203e06f0f6cca27ee42cf31a67d1ae24b51f13aa1c2ac979625daf0d8206286"},"schema_version":"1.0"},"canonical_sha256":"b7ee7c756bcc860ad6d8c8ea9e7cc65b1dada751d9050e1b04ef38c2a8c28859","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:07:34.186651Z","signature_b64":"8M9o4SOSiHuJ2QkYRjN5Pg8Y72zh5J9VrId3j54GWhQ8aX/+SRN+47LyfQ2oeGuxe4fAIuoAUGG7+zmalUAtBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7ee7c756bcc860ad6d8c8ea9e7cc65b1dada751d9050e1b04ef38c2a8c28859","last_reissued_at":"2026-07-05T04:07:34.186270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:07:34.186270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.11910","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":"2026-07-05T04:07:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uJkuqpBYGA8MAG6WlT/5ELuOHB/rI75YAWAphUynJmpW7nkSB4mo55dmT5J3ydJrb+eHGUi3h2qOYd2YJsr3Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:46:22.381929Z"},"content_sha256":"627ad6ea67e8e9b7910fd86d6429e497d17e3c54aef5d16c3adf12a15baf6db6","schema_version":"1.0","event_id":"sha256:627ad6ea67e8e9b7910fd86d6429e497d17e3c54aef5d16c3adf12a15baf6db6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:W7XHY5LLZSDAVVWYZDVJ47GGLM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.CV","authors_text":"Luca Savant Aira, Marco Nurisso, Simone Azeglio, Simone Poetto","submitted_at":"2022-03-22T17:27:22Z","abstract_excerpt":"Computational models of vision have traditionally been developed in a bottom-up fashion, by hierarchically composing a series of straightforward operations - i.e. convolution and pooling - with the aim of emulating simple and complex cells in the visual cortex, resulting in the introduction of deep convolutional neural networks (CNNs). Nevertheless, data obtained with recent neuronal recording techniques support that the nature of the computations carried out in the ventral visual stream is not completely captured by current deep CNN models. To fill the gap between the ventral visual stream an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.11910","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/2203.11910/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":"2026-07-05T04:07:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bj2gNhS7uGUNzuqEpidy3qKZA9TZlVrvs1RmvCHuHhSXoZWLHWtQVzPvYBpPK7L3aM9f6cmFaEW8rr1l0cdQAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:46:22.382416Z"},"content_sha256":"46f226547816fdc92730fa923bbe650df8e3fff9cbdda95e3e135c7565c99280","schema_version":"1.0","event_id":"sha256:46f226547816fdc92730fa923bbe650df8e3fff9cbdda95e3e135c7565c99280"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM/bundle.json","state_url":"https://pith.science/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM/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":"2026-08-11T00:46:22Z","links":{"resolver":"https://pith.science/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM","bundle":"https://pith.science/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM/bundle.json","state":"https://pith.science/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W7XHY5LLZSDAVVWYZDVJ47GGLM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:W7XHY5LLZSDAVVWYZDVJ47GGLM","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":"2203e06f0f6cca27ee42cf31a67d1ae24b51f13aa1c2ac979625daf0d8206286","cross_cats_sorted":["q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-22T17:27:22Z","title_canon_sha256":"2562574576e4016cbf491ec1ac6b3a8f4a03dbc1ed3fa9ca6729cb51da3794b7"},"schema_version":"1.0","source":{"id":"2203.11910","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.11910","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"arxiv_version","alias_value":"2203.11910v1","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.11910","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"pith_short_12","alias_value":"W7XHY5LLZSDA","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"pith_short_16","alias_value":"W7XHY5LLZSDAVVWY","created_at":"2026-07-05T04:07:34Z"},{"alias_kind":"pith_short_8","alias_value":"W7XHY5LL","created_at":"2026-07-05T04:07:34Z"}],"graph_snapshots":[{"event_id":"sha256:46f226547816fdc92730fa923bbe650df8e3fff9cbdda95e3e135c7565c99280","target":"graph","created_at":"2026-07-05T04:07:34Z","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/2203.11910/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computational models of vision have traditionally been developed in a bottom-up fashion, by hierarchically composing a series of straightforward operations - i.e. convolution and pooling - with the aim of emulating simple and complex cells in the visual cortex, resulting in the introduction of deep convolutional neural networks (CNNs). Nevertheless, data obtained with recent neuronal recording techniques support that the nature of the computations carried out in the ventral visual stream is not completely captured by current deep CNN models. To fill the gap between the ventral visual stream an","authors_text":"Luca Savant Aira, Marco Nurisso, Simone Azeglio, Simone Poetto","cross_cats":["q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-22T17:27:22Z","title":"Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.11910","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":"sha256:627ad6ea67e8e9b7910fd86d6429e497d17e3c54aef5d16c3adf12a15baf6db6","target":"record","created_at":"2026-07-05T04:07:34Z","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":"2203e06f0f6cca27ee42cf31a67d1ae24b51f13aa1c2ac979625daf0d8206286","cross_cats_sorted":["q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-22T17:27:22Z","title_canon_sha256":"2562574576e4016cbf491ec1ac6b3a8f4a03dbc1ed3fa9ca6729cb51da3794b7"},"schema_version":"1.0","source":{"id":"2203.11910","kind":"arxiv","version":1}},"canonical_sha256":"b7ee7c756bcc860ad6d8c8ea9e7cc65b1dada751d9050e1b04ef38c2a8c28859","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7ee7c756bcc860ad6d8c8ea9e7cc65b1dada751d9050e1b04ef38c2a8c28859","first_computed_at":"2026-07-05T04:07:34.186270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:07:34.186270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8M9o4SOSiHuJ2QkYRjN5Pg8Y72zh5J9VrId3j54GWhQ8aX/+SRN+47LyfQ2oeGuxe4fAIuoAUGG7+zmalUAtBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:07:34.186651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.11910","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:627ad6ea67e8e9b7910fd86d6429e497d17e3c54aef5d16c3adf12a15baf6db6","sha256:46f226547816fdc92730fa923bbe650df8e3fff9cbdda95e3e135c7565c99280"],"state_sha256":"a815e31889a86d193dab5ecf9fa69a89c6838c0de0dd3061c7ac26b406ca0471"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7HodFjsmxtpznSv64iwOdKYgybWRYWQbKApKXqgfA++V/nxk7DNJjnkFIGopmG7PMZqsA/lZPPaLpBX2peMaDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:46:22.387669Z","bundle_sha256":"71664ec5bdbc574b21c9bdee4563d3007adba91a041418e75dca07203821e5e2"}}