{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SVWHTSU35ATXBPUXTPUUTKOUAO","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":"1965f8848ba69b2a19472cbc9ce04e0133e73fcd25d3ee8657419654e446c724","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-27T23:42:05Z","title_canon_sha256":"9667958a24fce05c02dff7d8c05a6a0c43f83aecf796a87d700169a6e62169d4"},"schema_version":"1.0","source":{"id":"2203.14415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14415","created_at":"2026-07-05T04:09:04Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14415v1","created_at":"2026-07-05T04:09:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14415","created_at":"2026-07-05T04:09:04Z"},{"alias_kind":"pith_short_12","alias_value":"SVWHTSU35ATX","created_at":"2026-07-05T04:09:04Z"},{"alias_kind":"pith_short_16","alias_value":"SVWHTSU35ATXBPUX","created_at":"2026-07-05T04:09:04Z"},{"alias_kind":"pith_short_8","alias_value":"SVWHTSU3","created_at":"2026-07-05T04:09:04Z"}],"graph_snapshots":[{"event_id":"sha256:710195d9bb8b7131226b46c941011321ace58248e76133c1ae464ca8ebe823e5","target":"graph","created_at":"2026-07-05T04:09:04Z","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/2203.14415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In self-supervised learning, multi-granular features are heavily desired though rarely investigated, as different downstream tasks (e.g., general and fine-grained classification) often require different or multi-granular features, e.g.~fine- or coarse-grained one or their mixture. In this work, for the first time, we propose an effective MUlti-Granular Self-supervised learning (Mugs) framework to explicitly learn multi-granular visual features. Mugs has three complementary granular supervisions: 1) an instance discrimination supervision (IDS), 2) a novel local-group discrimination supervision ","authors_text":"Chenyang Si, Pan Zhou, Shuicheng Yan, Teck Khim Ng, Weihao Yu, Yichen Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-27T23:42:05Z","title":"Mugs: A Multi-Granular Self-Supervised Learning Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14415","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":"sha256:5579690942bd6f729df8b947b65b3dd28f7da5e7dbf5c81346f63793c3d69056","target":"record","created_at":"2026-07-05T04:09:04Z","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":"1965f8848ba69b2a19472cbc9ce04e0133e73fcd25d3ee8657419654e446c724","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-27T23:42:05Z","title_canon_sha256":"9667958a24fce05c02dff7d8c05a6a0c43f83aecf796a87d700169a6e62169d4"},"schema_version":"1.0","source":{"id":"2203.14415","kind":"arxiv","version":1}},"canonical_sha256":"956c79ca9be82770be979be949a9d40381f5a5819c811319edc3a232c77d517c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"956c79ca9be82770be979be949a9d40381f5a5819c811319edc3a232c77d517c","first_computed_at":"2026-07-05T04:09:04.699961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:04.699961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FhDmQ5uPyqoaxreYPyTE3mxa04l6tGDmz1nYWfrpEXZGVst6ti3Ty3FtkoIitkcLm39bylbR4qcJO4RlhnS8AA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:04.700383Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.14415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5579690942bd6f729df8b947b65b3dd28f7da5e7dbf5c81346f63793c3d69056","sha256:710195d9bb8b7131226b46c941011321ace58248e76133c1ae464ca8ebe823e5"],"state_sha256":"64becb4eaf45195a67bc29d70ccb6dc5c00ad8bce707cd0281e972b60e2820c2"}