{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VG3EIEX43VG2SWZNOAJGCDQAEY","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":"8154a48c511bbe1dd6a7672e2cc3717b1c07d1ac8eb0733fc721ca1846bd7437","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-02T18:09:11Z","title_canon_sha256":"8ad620ddc5af93592834b85fe3511a70cf8693d04085ea0048b47ff40e444ab4"},"schema_version":"1.0","source":{"id":"2106.01401","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.01401","created_at":"2026-07-05T03:23:11Z"},{"alias_kind":"arxiv_version","alias_value":"2106.01401v2","created_at":"2026-07-05T03:23:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.01401","created_at":"2026-07-05T03:23:11Z"},{"alias_kind":"pith_short_12","alias_value":"VG3EIEX43VG2","created_at":"2026-07-05T03:23:11Z"},{"alias_kind":"pith_short_16","alias_value":"VG3EIEX43VG2SWZN","created_at":"2026-07-05T03:23:11Z"},{"alias_kind":"pith_short_8","alias_value":"VG3EIEX4","created_at":"2026-07-05T03:23:11Z"}],"graph_snapshots":[{"event_id":"sha256:fd60d17ff83dc1ba751f71f113aa8fdf7643836117cf481ae0b6c80bab560886","target":"graph","created_at":"2026-07-05T03:23:11Z","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/2106.01401/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations. Recently, Transformers -- originally introduced in natural language processing -- have been increasingly adopted in computer vision. While early adopters continue to employ CNN backbones, the latest networks are end-to-end CNN-free Transformer solutions. A recent surprising finding shows that a simple MLP based solution without any traditional convolutional or Transformer components can produce effective visual representations. While CNNs, Transformers and MLP-Mixers may","authors_text":"Aniruddha Kembhavi, Hongsheng Li, Jiasen Lu, Peng Gao, Roozbeh Mottaghi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-02T18:09:11Z","title":"Container: Context Aggregation Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.01401","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:cbd71d0b577e5968f70a52fa1a3d58dff1fdef98974f3e892965339d684579e3","target":"record","created_at":"2026-07-05T03:23:11Z","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":"8154a48c511bbe1dd6a7672e2cc3717b1c07d1ac8eb0733fc721ca1846bd7437","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-02T18:09:11Z","title_canon_sha256":"8ad620ddc5af93592834b85fe3511a70cf8693d04085ea0048b47ff40e444ab4"},"schema_version":"1.0","source":{"id":"2106.01401","kind":"arxiv","version":2}},"canonical_sha256":"a9b64412fcdd4da95b2d7012610e00261a2df52cef4051b02db63908e1defbff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9b64412fcdd4da95b2d7012610e00261a2df52cef4051b02db63908e1defbff","first_computed_at":"2026-07-05T03:23:11.099790Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:23:11.099790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PcYdctXzeRsHiDqQOnCePmzDSaUGJZWhqvPp6y5yNFc2qR/kJ7Q7HvGf0SIGu3mkDoOxvnZP0ExfieASfLbhAw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:23:11.100139Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.01401","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbd71d0b577e5968f70a52fa1a3d58dff1fdef98974f3e892965339d684579e3","sha256:fd60d17ff83dc1ba751f71f113aa8fdf7643836117cf481ae0b6c80bab560886"],"state_sha256":"005a278521833550489ed53f7ef5811e508054b9d391f5eee5c4dfb9ab231dc6"}