{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ASAEAEGZ7UUCW67WOAGJXHBQWJ","short_pith_number":"pith:ASAEAEGZ","canonical_record":{"source":{"id":"2506.15385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T11:59:15Z","cross_cats_sorted":[],"title_canon_sha256":"ffb14fcd79ce837f66f7bde557c36b805511499edfd56af51b52587debb7b109","abstract_canon_sha256":"688c72bfbeff2a01bb5ebb1c0df5544af6bbae695085615b764d8438386f12a1"},"schema_version":"1.0"},"canonical_sha256":"04804010d9fd282b7bf6700c9b9c30b240274c2cf89d0d1e2c4333b59f71cdfd","source":{"kind":"arxiv","id":"2506.15385","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15385","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15385v1","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15385","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"pith_short_12","alias_value":"ASAEAEGZ7UUC","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"pith_short_16","alias_value":"ASAEAEGZ7UUCW67W","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"pith_short_8","alias_value":"ASAEAEGZ","created_at":"2026-07-05T11:23:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ASAEAEGZ7UUCW67WOAGJXHBQWJ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.15385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T11:59:15Z","cross_cats_sorted":[],"title_canon_sha256":"ffb14fcd79ce837f66f7bde557c36b805511499edfd56af51b52587debb7b109","abstract_canon_sha256":"688c72bfbeff2a01bb5ebb1c0df5544af6bbae695085615b764d8438386f12a1"},"schema_version":"1.0"},"canonical_sha256":"04804010d9fd282b7bf6700c9b9c30b240274c2cf89d0d1e2c4333b59f71cdfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:23:42.433559Z","signature_b64":"I/4Y0b2tK3a0CDsxzghRjsTtwrHSThDakwYnKQ6pSVHV9AWin1a4uzOJeZ8vUezNklUQIfAcM6B/3/ZnuZUSDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04804010d9fd282b7bf6700c9b9c30b240274c2cf89d0d1e2c4333b59f71cdfd","last_reissued_at":"2026-07-05T11:23:42.433040Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:23:42.433040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.15385","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":"2026-07-05T11:23:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vv5vxIb0L6wQlmPi3+hXwu7aGFlm1iSjGvpGeCjRuDlv+dMs5alHaz+d8Nn7opjQkoN7OXI2eEphW18tGVklDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T07:52:51.051789Z"},"content_sha256":"3e99ec00c99cc6c835e31115828760211da629996cb8dd424a7312ebde581d14","schema_version":"1.0","event_id":"sha256:3e99ec00c99cc6c835e31115828760211da629996cb8dd424a7312ebde581d14"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ASAEAEGZ7UUCW67WOAGJXHBQWJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Provable Maximum Entropy Manifold Exploration via Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Andreas Krause, Marin Vlastelica, Niao He, Riccardo De Santi, Ya-Ping Hsieh, Zebang Shen","submitted_at":"2025-06-18T11:59:15Z","abstract_excerpt":"Exploration is critical for solving real-world decision-making problems such as scientific discovery, where the objective is to generate truly novel designs rather than mimic existing data distributions. In this work, we address the challenge of leveraging the representational power of generative models for exploration without relying on explicit uncertainty quantification. We introduce a novel framework that casts exploration as entropy maximization over the approximate data manifold implicitly defined by a pre-trained diffusion model. Then, we present a novel principle for exploration based "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15385","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/2506.15385/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":"2026-07-05T11:23:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FZRDHK/DwISAwjD6N4bgKhzSHKcj9+8w88tpBeLAaCMlKeeQH0iiXIhKtja0olvoOz/0TEG8uWmcvBzOSMUSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T07:52:51.052334Z"},"content_sha256":"bddf0bd0b6fd07e1188b7fb89d9d4d3b89ac0eaace3001d8d04dd21609571dd9","schema_version":"1.0","event_id":"sha256:bddf0bd0b6fd07e1188b7fb89d9d4d3b89ac0eaace3001d8d04dd21609571dd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ/bundle.json","state_url":"https://pith.science/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ/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":"2026-08-18T07:52:51Z","links":{"resolver":"https://pith.science/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ","bundle":"https://pith.science/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ/bundle.json","state":"https://pith.science/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ASAEAEGZ7UUCW67WOAGJXHBQWJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ASAEAEGZ7UUCW67WOAGJXHBQWJ","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":"688c72bfbeff2a01bb5ebb1c0df5544af6bbae695085615b764d8438386f12a1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T11:59:15Z","title_canon_sha256":"ffb14fcd79ce837f66f7bde557c36b805511499edfd56af51b52587debb7b109"},"schema_version":"1.0","source":{"id":"2506.15385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15385","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15385v1","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15385","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"pith_short_12","alias_value":"ASAEAEGZ7UUC","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"pith_short_16","alias_value":"ASAEAEGZ7UUCW67W","created_at":"2026-07-05T11:23:42Z"},{"alias_kind":"pith_short_8","alias_value":"ASAEAEGZ","created_at":"2026-07-05T11:23:42Z"}],"graph_snapshots":[{"event_id":"sha256:bddf0bd0b6fd07e1188b7fb89d9d4d3b89ac0eaace3001d8d04dd21609571dd9","target":"graph","created_at":"2026-07-05T11:23:42Z","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/2506.15385/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Exploration is critical for solving real-world decision-making problems such as scientific discovery, where the objective is to generate truly novel designs rather than mimic existing data distributions. In this work, we address the challenge of leveraging the representational power of generative models for exploration without relying on explicit uncertainty quantification. We introduce a novel framework that casts exploration as entropy maximization over the approximate data manifold implicitly defined by a pre-trained diffusion model. Then, we present a novel principle for exploration based ","authors_text":"Andreas Krause, Marin Vlastelica, Niao He, Riccardo De Santi, Ya-Ping Hsieh, Zebang Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T11:59:15Z","title":"Provable Maximum Entropy Manifold Exploration via Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15385","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":"sha256:3e99ec00c99cc6c835e31115828760211da629996cb8dd424a7312ebde581d14","target":"record","created_at":"2026-07-05T11:23:42Z","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":"688c72bfbeff2a01bb5ebb1c0df5544af6bbae695085615b764d8438386f12a1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T11:59:15Z","title_canon_sha256":"ffb14fcd79ce837f66f7bde557c36b805511499edfd56af51b52587debb7b109"},"schema_version":"1.0","source":{"id":"2506.15385","kind":"arxiv","version":1}},"canonical_sha256":"04804010d9fd282b7bf6700c9b9c30b240274c2cf89d0d1e2c4333b59f71cdfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04804010d9fd282b7bf6700c9b9c30b240274c2cf89d0d1e2c4333b59f71cdfd","first_computed_at":"2026-07-05T11:23:42.433040Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:42.433040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I/4Y0b2tK3a0CDsxzghRjsTtwrHSThDakwYnKQ6pSVHV9AWin1a4uzOJeZ8vUezNklUQIfAcM6B/3/ZnuZUSDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:42.433559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e99ec00c99cc6c835e31115828760211da629996cb8dd424a7312ebde581d14","sha256:bddf0bd0b6fd07e1188b7fb89d9d4d3b89ac0eaace3001d8d04dd21609571dd9"],"state_sha256":"a1824f29714ca6f95bc1328f26d52e781a94ab28006c1917df62a05fa9c182dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CbgBTjLFSRMhDqH8luUV/n4YsFjYXmGufrzh/5jggFtqvM9smjGRm43tBIO1UJ3N3A4Eai8hri3pKEXXBpCFCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T07:52:51.057786Z","bundle_sha256":"7d8182f465fceaef68ac59c30fe2de9ec9a08e59aabae9e2f1c494c7296b41f5"}}