{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UCH4LSACUREFSSCSMR2DHGN6ED","short_pith_number":"pith:UCH4LSAC","canonical_record":{"source":{"id":"2505.11581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T16:28:34Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"e20aba47ab9af4d8f18e58b1368f169b43ab54dfff7ecf9495e578eae32e120b","abstract_canon_sha256":"f092e9f5cdcc5474c3c5e456ced33b34ed25841dd83cd568af802ccea4cc1670"},"schema_version":"1.0"},"canonical_sha256":"a08fc5c802a44859485264743399be20f6b0c94dcd8a80b9e60d73c99f6ec29c","source":{"kind":"arxiv","id":"2505.11581","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.11581","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"arxiv_version","alias_value":"2505.11581v1","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11581","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"pith_short_12","alias_value":"UCH4LSACUREF","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"pith_short_16","alias_value":"UCH4LSACUREFSSCS","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"pith_short_8","alias_value":"UCH4LSAC","created_at":"2026-07-05T11:04:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UCH4LSACUREFSSCSMR2DHGN6ED","target":"record","payload":{"canonical_record":{"source":{"id":"2505.11581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T16:28:34Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"e20aba47ab9af4d8f18e58b1368f169b43ab54dfff7ecf9495e578eae32e120b","abstract_canon_sha256":"f092e9f5cdcc5474c3c5e456ced33b34ed25841dd83cd568af802ccea4cc1670"},"schema_version":"1.0"},"canonical_sha256":"a08fc5c802a44859485264743399be20f6b0c94dcd8a80b9e60d73c99f6ec29c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:04:23.987717Z","signature_b64":"YeRcfzNWc6ILbaPk5DL4JIE07pfrh1sfOd5xRlUqg5TA5TsrMlRxjf0hpP3kjr8Xg5LNp68lLB1HrTdn79KmCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a08fc5c802a44859485264743399be20f6b0c94dcd8a80b9e60d73c99f6ec29c","last_reissued_at":"2026-07-05T11:04:23.987206Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:04:23.987206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.11581","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":"2026-07-05T11:04:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C2KIlZ19ZlJi8sWEMRyXcywPbT9+KG4P439M0Wy6lmfipMIKLjOXCNd2C9rFXH79ELYYEVdPTE2i0QlxmVdRBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:40:28.437821Z"},"content_sha256":"e4cb3e83e2fea329b2ee374b607388cd704a6977d58c2759f877ff309a180716","schema_version":"1.0","event_id":"sha256:e4cb3e83e2fea329b2ee374b607388cd704a6977d58c2759f877ff309a180716"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UCH4LSACUREFSSCSMR2DHGN6ED","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.CV","authors_text":"Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley","submitted_at":"2025-05-16T16:28:34Z","abstract_excerpt":"Much of the excitement in modern AI is driven by the observation that scaling up existing systems leads to better performance. But does better performance necessarily imply better internal representations? While the representational optimist assumes it must, this position paper challenges that view. We compare neural networks evolved through an open-ended search process to networks trained via conventional stochastic gradient descent (SGD) on the simple task of generating a single image. This minimal setup offers a unique advantage: each hidden neuron's full functional behavior can be easily v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11581","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/2505.11581/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":"2026-07-05T11:04:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z7kbD4QbLwlrE8wHyvLlhHo8tyfIEtfemQbEtF6k02QnE8gYUCSL0zS658gDUJWm+vER774eVC1NFYvXOYeyCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:40:28.438743Z"},"content_sha256":"e13a9e744a886c655afa02d1ce298016d8faf900ebfa337779d6ac8191a92d10","schema_version":"1.0","event_id":"sha256:e13a9e744a886c655afa02d1ce298016d8faf900ebfa337779d6ac8191a92d10"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UCH4LSACUREFSSCSMR2DHGN6ED/bundle.json","state_url":"https://pith.science/pith/UCH4LSACUREFSSCSMR2DHGN6ED/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UCH4LSACUREFSSCSMR2DHGN6ED/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":"2026-08-09T19:40:28Z","links":{"resolver":"https://pith.science/pith/UCH4LSACUREFSSCSMR2DHGN6ED","bundle":"https://pith.science/pith/UCH4LSACUREFSSCSMR2DHGN6ED/bundle.json","state":"https://pith.science/pith/UCH4LSACUREFSSCSMR2DHGN6ED/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UCH4LSACUREFSSCSMR2DHGN6ED/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UCH4LSACUREFSSCSMR2DHGN6ED","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":"f092e9f5cdcc5474c3c5e456ced33b34ed25841dd83cd568af802ccea4cc1670","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T16:28:34Z","title_canon_sha256":"e20aba47ab9af4d8f18e58b1368f169b43ab54dfff7ecf9495e578eae32e120b"},"schema_version":"1.0","source":{"id":"2505.11581","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.11581","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"arxiv_version","alias_value":"2505.11581v1","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11581","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"pith_short_12","alias_value":"UCH4LSACUREF","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"pith_short_16","alias_value":"UCH4LSACUREFSSCS","created_at":"2026-07-05T11:04:23Z"},{"alias_kind":"pith_short_8","alias_value":"UCH4LSAC","created_at":"2026-07-05T11:04:23Z"}],"graph_snapshots":[{"event_id":"sha256:e13a9e744a886c655afa02d1ce298016d8faf900ebfa337779d6ac8191a92d10","target":"graph","created_at":"2026-07-05T11:04:23Z","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/2505.11581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Much of the excitement in modern AI is driven by the observation that scaling up existing systems leads to better performance. But does better performance necessarily imply better internal representations? While the representational optimist assumes it must, this position paper challenges that view. We compare neural networks evolved through an open-ended search process to networks trained via conventional stochastic gradient descent (SGD) on the simple task of generating a single image. This minimal setup offers a unique advantage: each hidden neuron's full functional behavior can be easily v","authors_text":"Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T16:28:34Z","title":"Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11581","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:e4cb3e83e2fea329b2ee374b607388cd704a6977d58c2759f877ff309a180716","target":"record","created_at":"2026-07-05T11:04:23Z","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":"f092e9f5cdcc5474c3c5e456ced33b34ed25841dd83cd568af802ccea4cc1670","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T16:28:34Z","title_canon_sha256":"e20aba47ab9af4d8f18e58b1368f169b43ab54dfff7ecf9495e578eae32e120b"},"schema_version":"1.0","source":{"id":"2505.11581","kind":"arxiv","version":1}},"canonical_sha256":"a08fc5c802a44859485264743399be20f6b0c94dcd8a80b9e60d73c99f6ec29c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a08fc5c802a44859485264743399be20f6b0c94dcd8a80b9e60d73c99f6ec29c","first_computed_at":"2026-07-05T11:04:23.987206Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:23.987206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YeRcfzNWc6ILbaPk5DL4JIE07pfrh1sfOd5xRlUqg5TA5TsrMlRxjf0hpP3kjr8Xg5LNp68lLB1HrTdn79KmCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:23.987717Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.11581","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4cb3e83e2fea329b2ee374b607388cd704a6977d58c2759f877ff309a180716","sha256:e13a9e744a886c655afa02d1ce298016d8faf900ebfa337779d6ac8191a92d10"],"state_sha256":"75ae6f28e78722dfdc6ea7c839ae5f14a6805af1952e87f1bd30da47ca0fc2ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OtUTwiQmD+k/tdFnHLcgaVxPp3308qB6hRsuiuxmGl1Bwc1PQjtiv8RIjRq5NTSQpK0DoTAdzczq76Vl8f3iCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T19:40:28.445286Z","bundle_sha256":"38ebced4da922668dffbf4b0b4aa3c37fb184bc1ba8ce66d075dde856cc54261"}}