{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:266S2OMCVSSWCR72T6BC5EH62N","short_pith_number":"pith:266S2OMC","canonical_record":{"source":{"id":"2112.02902","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-06T10:03:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ad0e8691c7b3a8edfe8f546027638099aadd092e188b1c1f6483e295ba40e9c6","abstract_canon_sha256":"51e283f14f1b6ffa20fdf3e33e2abf3cb8a8092ad82fdf973339d7a998aa1e5d"},"schema_version":"1.0"},"canonical_sha256":"d7bd2d3982aca56147fa9f822e90fed3516d62d15ef8b8cce10f521b41cccfc5","source":{"kind":"arxiv","id":"2112.02902","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.02902","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"arxiv_version","alias_value":"2112.02902v2","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02902","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"pith_short_12","alias_value":"266S2OMCVSSW","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"pith_short_16","alias_value":"266S2OMCVSSWCR72","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"pith_short_8","alias_value":"266S2OMC","created_at":"2026-07-05T04:54:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:266S2OMCVSSWCR72T6BC5EH62N","target":"record","payload":{"canonical_record":{"source":{"id":"2112.02902","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-06T10:03:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ad0e8691c7b3a8edfe8f546027638099aadd092e188b1c1f6483e295ba40e9c6","abstract_canon_sha256":"51e283f14f1b6ffa20fdf3e33e2abf3cb8a8092ad82fdf973339d7a998aa1e5d"},"schema_version":"1.0"},"canonical_sha256":"d7bd2d3982aca56147fa9f822e90fed3516d62d15ef8b8cce10f521b41cccfc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:54:17.276970Z","signature_b64":"lmkLp4M+nusDrGjhfhvspR6sPahsHoGczoRO9jPeDkMwUxlaOoK1MMFK7zFX0iH9zCkhpYH1hYikc/dy+hRQDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7bd2d3982aca56147fa9f822e90fed3516d62d15ef8b8cce10f521b41cccfc5","last_reissued_at":"2026-07-05T04:54:17.276518Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:54:17.276518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.02902","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:54:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ngY4Tcnsh97EOguUzcvv65fTBuZOeUWqj5JIx8TxhvREY07LMZWhRfOLLYccilDMf0XK6/VYowSzMubOWHtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T07:57:08.559029Z"},"content_sha256":"c5359cb6e9a6a9a765da637413366fc0a066da00d37936bd61d40742e30a3a9c","schema_version":"1.0","event_id":"sha256:c5359cb6e9a6a9a765da637413366fc0a066da00d37936bd61d40742e30a3a9c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:266S2OMCVSSWCR72T6BC5EH62N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interpretable Image Classification with Differentiable Prototypes Assignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Bartosz Zieli\\'nski, Dawid Rymarczyk, Jacek Tabor, Koryna Lewandowska, {\\L}ukasz Struski, Micha{\\l} G\\'orszczak","submitted_at":"2021-12-06T10:03:32Z","abstract_excerpt":"We introduce ProtoPool, an interpretable image classification model with a pool of prototypes shared by the classes. The training is more straightforward than in the existing methods because it does not require the pruning stage. It is obtained by introducing a fully differentiable assignment of prototypes to particular classes. Moreover, we introduce a novel focal similarity function to focus the model on the rare foreground features. We show that ProtoPool obtains state-of-the-art accuracy on the CUB-200-2011 and the Stanford Cars datasets, substantially reducing the number of prototypes. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02902","kind":"arxiv","version":2},"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/2112.02902/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":"2026-07-05T04:54:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xMVNvBLC3AYJW9SaN3ybEz9kcDntev26LHrFYv/hlHMRHwlrU0+o6Mkm9oG4xsmvkbK97ztOqyNIgc4ZMC3qAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T07:57:08.559407Z"},"content_sha256":"fa7c1e12fa59b2ae688a4fd6d27ade4dd7c9f94455189f1c1363c9c1769b8a23","schema_version":"1.0","event_id":"sha256:fa7c1e12fa59b2ae688a4fd6d27ade4dd7c9f94455189f1c1363c9c1769b8a23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/266S2OMCVSSWCR72T6BC5EH62N/bundle.json","state_url":"https://pith.science/pith/266S2OMCVSSWCR72T6BC5EH62N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/266S2OMCVSSWCR72T6BC5EH62N/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":"2026-07-24T07:57:08Z","links":{"resolver":"https://pith.science/pith/266S2OMCVSSWCR72T6BC5EH62N","bundle":"https://pith.science/pith/266S2OMCVSSWCR72T6BC5EH62N/bundle.json","state":"https://pith.science/pith/266S2OMCVSSWCR72T6BC5EH62N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/266S2OMCVSSWCR72T6BC5EH62N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:266S2OMCVSSWCR72T6BC5EH62N","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":"51e283f14f1b6ffa20fdf3e33e2abf3cb8a8092ad82fdf973339d7a998aa1e5d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-06T10:03:32Z","title_canon_sha256":"ad0e8691c7b3a8edfe8f546027638099aadd092e188b1c1f6483e295ba40e9c6"},"schema_version":"1.0","source":{"id":"2112.02902","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.02902","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"arxiv_version","alias_value":"2112.02902v2","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02902","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"pith_short_12","alias_value":"266S2OMCVSSW","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"pith_short_16","alias_value":"266S2OMCVSSWCR72","created_at":"2026-07-05T04:54:17Z"},{"alias_kind":"pith_short_8","alias_value":"266S2OMC","created_at":"2026-07-05T04:54:17Z"}],"graph_snapshots":[{"event_id":"sha256:fa7c1e12fa59b2ae688a4fd6d27ade4dd7c9f94455189f1c1363c9c1769b8a23","target":"graph","created_at":"2026-07-05T04:54:17Z","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/2112.02902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce ProtoPool, an interpretable image classification model with a pool of prototypes shared by the classes. The training is more straightforward than in the existing methods because it does not require the pruning stage. It is obtained by introducing a fully differentiable assignment of prototypes to particular classes. Moreover, we introduce a novel focal similarity function to focus the model on the rare foreground features. We show that ProtoPool obtains state-of-the-art accuracy on the CUB-200-2011 and the Stanford Cars datasets, substantially reducing the number of prototypes. We","authors_text":"Bartosz Zieli\\'nski, Dawid Rymarczyk, Jacek Tabor, Koryna Lewandowska, {\\L}ukasz Struski, Micha{\\l} G\\'orszczak","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-06T10:03:32Z","title":"Interpretable Image Classification with Differentiable Prototypes Assignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02902","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:c5359cb6e9a6a9a765da637413366fc0a066da00d37936bd61d40742e30a3a9c","target":"record","created_at":"2026-07-05T04:54:17Z","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":"51e283f14f1b6ffa20fdf3e33e2abf3cb8a8092ad82fdf973339d7a998aa1e5d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-06T10:03:32Z","title_canon_sha256":"ad0e8691c7b3a8edfe8f546027638099aadd092e188b1c1f6483e295ba40e9c6"},"schema_version":"1.0","source":{"id":"2112.02902","kind":"arxiv","version":2}},"canonical_sha256":"d7bd2d3982aca56147fa9f822e90fed3516d62d15ef8b8cce10f521b41cccfc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7bd2d3982aca56147fa9f822e90fed3516d62d15ef8b8cce10f521b41cccfc5","first_computed_at":"2026-07-05T04:54:17.276518Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:54:17.276518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lmkLp4M+nusDrGjhfhvspR6sPahsHoGczoRO9jPeDkMwUxlaOoK1MMFK7zFX0iH9zCkhpYH1hYikc/dy+hRQDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:54:17.276970Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.02902","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5359cb6e9a6a9a765da637413366fc0a066da00d37936bd61d40742e30a3a9c","sha256:fa7c1e12fa59b2ae688a4fd6d27ade4dd7c9f94455189f1c1363c9c1769b8a23"],"state_sha256":"1b6bf45a47e3b4df1200dc2b8be31842239a15717a8f290dbd9304a5362b774e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AfGO9SzPYQ5FeVZArkD+8ERnq0jNoyP2C+Z6XQMPSjRSLHu/PjsJ9INVMl2pWP2S4QaQ7TaBUIoYXi0SSoG7BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T07:57:08.561493Z","bundle_sha256":"4a429ed95cf5c3a5eb854722070957d3341bdb8d83009516fe89183edde932fd"}}