{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3J4U2E5ZNHDSZIESK6WZ2EDOWD","short_pith_number":"pith:3J4U2E5Z","canonical_record":{"source":{"id":"2302.09579","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T14:08:01Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3364c0ad5d79d149936f0d296afe33a7617973855ee5061d42702c32c9bfa8cf","abstract_canon_sha256":"990b8fb9b7ffeec5080eb1a65369085835ee3e9f49287bda2f2bdd0a87f0c8b2"},"schema_version":"1.0"},"canonical_sha256":"da794d13b969c72ca09257ad9d106eb0de1e1950a2b08b29cef8c2da4ce222a7","source":{"kind":"arxiv","id":"2302.09579","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09579","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09579v2","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09579","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"pith_short_12","alias_value":"3J4U2E5ZNHDS","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"pith_short_16","alias_value":"3J4U2E5ZNHDSZIES","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"pith_short_8","alias_value":"3J4U2E5Z","created_at":"2026-07-05T09:36:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3J4U2E5ZNHDSZIESK6WZ2EDOWD","target":"record","payload":{"canonical_record":{"source":{"id":"2302.09579","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T14:08:01Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3364c0ad5d79d149936f0d296afe33a7617973855ee5061d42702c32c9bfa8cf","abstract_canon_sha256":"990b8fb9b7ffeec5080eb1a65369085835ee3e9f49287bda2f2bdd0a87f0c8b2"},"schema_version":"1.0"},"canonical_sha256":"da794d13b969c72ca09257ad9d106eb0de1e1950a2b08b29cef8c2da4ce222a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:36:35.252913Z","signature_b64":"TNffpxwzJnt37Mq1V1lLfptZjl80d0xfbyy+gphVvIT1maMxVMl3MiGtbSPyXO/XLryex3QkHihM0xaSgBQdBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da794d13b969c72ca09257ad9d106eb0de1e1950a2b08b29cef8c2da4ce222a7","last_reissued_at":"2026-07-05T09:36:35.252519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:36:35.252519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.09579","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":"2026-07-05T09:36:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WPCWzXuP2dn01z8kdMxAejO1BoEjKFZb32nDljElFcnwQgz2+gdee86YrckXMWFS20KCysxYhXcpE28h5OFWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:23:41.734223Z"},"content_sha256":"ba7524c9bb88a2aa39fb72167d50bca1f350813fa864c04dd0a0950a72b2d414","schema_version":"1.0","event_id":"sha256:ba7524c9bb88a2aa39fb72167d50bca1f350813fa864c04dd0a0950a72b2d414"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3J4U2E5ZNHDSZIESK6WZ2EDOWD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Representations with Readout Model Switching","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Jorg Bornschein, Marcus Hutter, Yazhe Li","submitted_at":"2023-02-19T14:08:01Z","abstract_excerpt":"Although much of the success of Deep Learning builds on learning good representations, a rigorous method to evaluate their quality is lacking. In this paper, we treat the evaluation of representations as a model selection problem and propose to use the Minimum Description Length (MDL) principle to devise an evaluation metric. Contrary to the established practice of limiting the capacity of the readout model, we design a hybrid discrete and continuous-valued model space for the readout models and employ a switching strategy to combine their predictions. The MDL score takes model complexity, as "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09579","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/2302.09579/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":"2026-07-05T09:36:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZQ/CXVgq2dW7JaZC+9pdCOo4aGBjSSy2uLVMxODbSjyc5tAoE1fdPPxlgGM9bsIwoV69B+SG4vt1aaLJKbfwDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:23:41.734606Z"},"content_sha256":"a4a8c71b95abac10427ad64fa705b9a786d36d5fbced22ae0cbf9e1f38660529","schema_version":"1.0","event_id":"sha256:a4a8c71b95abac10427ad64fa705b9a786d36d5fbced22ae0cbf9e1f38660529"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD/bundle.json","state_url":"https://pith.science/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD/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":"2026-07-07T10:23:41Z","links":{"resolver":"https://pith.science/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD","bundle":"https://pith.science/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD/bundle.json","state":"https://pith.science/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3J4U2E5ZNHDSZIESK6WZ2EDOWD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3J4U2E5ZNHDSZIESK6WZ2EDOWD","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":"990b8fb9b7ffeec5080eb1a65369085835ee3e9f49287bda2f2bdd0a87f0c8b2","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T14:08:01Z","title_canon_sha256":"3364c0ad5d79d149936f0d296afe33a7617973855ee5061d42702c32c9bfa8cf"},"schema_version":"1.0","source":{"id":"2302.09579","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09579","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09579v2","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09579","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"pith_short_12","alias_value":"3J4U2E5ZNHDS","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"pith_short_16","alias_value":"3J4U2E5ZNHDSZIES","created_at":"2026-07-05T09:36:35Z"},{"alias_kind":"pith_short_8","alias_value":"3J4U2E5Z","created_at":"2026-07-05T09:36:35Z"}],"graph_snapshots":[{"event_id":"sha256:a4a8c71b95abac10427ad64fa705b9a786d36d5fbced22ae0cbf9e1f38660529","target":"graph","created_at":"2026-07-05T09:36:35Z","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/2302.09579/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although much of the success of Deep Learning builds on learning good representations, a rigorous method to evaluate their quality is lacking. In this paper, we treat the evaluation of representations as a model selection problem and propose to use the Minimum Description Length (MDL) principle to devise an evaluation metric. Contrary to the established practice of limiting the capacity of the readout model, we design a hybrid discrete and continuous-valued model space for the readout models and employ a switching strategy to combine their predictions. The MDL score takes model complexity, as ","authors_text":"Jorg Bornschein, Marcus Hutter, Yazhe Li","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T14:08:01Z","title":"Evaluating Representations with Readout Model Switching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09579","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:ba7524c9bb88a2aa39fb72167d50bca1f350813fa864c04dd0a0950a72b2d414","target":"record","created_at":"2026-07-05T09:36:35Z","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":"990b8fb9b7ffeec5080eb1a65369085835ee3e9f49287bda2f2bdd0a87f0c8b2","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T14:08:01Z","title_canon_sha256":"3364c0ad5d79d149936f0d296afe33a7617973855ee5061d42702c32c9bfa8cf"},"schema_version":"1.0","source":{"id":"2302.09579","kind":"arxiv","version":2}},"canonical_sha256":"da794d13b969c72ca09257ad9d106eb0de1e1950a2b08b29cef8c2da4ce222a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da794d13b969c72ca09257ad9d106eb0de1e1950a2b08b29cef8c2da4ce222a7","first_computed_at":"2026-07-05T09:36:35.252519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:36:35.252519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TNffpxwzJnt37Mq1V1lLfptZjl80d0xfbyy+gphVvIT1maMxVMl3MiGtbSPyXO/XLryex3QkHihM0xaSgBQdBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:36:35.252913Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.09579","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba7524c9bb88a2aa39fb72167d50bca1f350813fa864c04dd0a0950a72b2d414","sha256:a4a8c71b95abac10427ad64fa705b9a786d36d5fbced22ae0cbf9e1f38660529"],"state_sha256":"27cff7a75302b1d660ca0cba2aa94577f00085e3a382328df787535eaee8abb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SzOFqidiw8xftYaJ2/38+uNkO9JWD1pBdRmxMrRiF3hJ/Vj7eb59EwaVUVFHKzfiro1Zz3Z3snDjAvuGcA4zAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:23:41.736700Z","bundle_sha256":"5ed799fc1496eab919f9a0aa667cdc5091dc5047cd2f2b588b747ea80092fc54"}}