{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4ATR4ENV2D5PIKMBYMB72HCCWW","short_pith_number":"pith:4ATR4ENV","canonical_record":{"source":{"id":"2509.08011","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.quant-gas","submitted_at":"2025-09-08T17:07:40Z","cross_cats_sorted":["cond-mat.str-el","quant-ph"],"title_canon_sha256":"dcb73b6b52baeed43d054302e31e671bce749cac17245a46b7d1202adf0c5f30","abstract_canon_sha256":"2ba6fc2ba5760d908b1b8987e9826912bfc2eaab2d0f85b4099023b84ddbb3c9"},"schema_version":"1.0"},"canonical_sha256":"e0271e11b5d0faf42981c303fd1c42b5b9501ace2d4596290b7cdd323b68acfc","source":{"kind":"arxiv","id":"2509.08011","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08011","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08011v1","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08011","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"pith_short_12","alias_value":"4ATR4ENV2D5P","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"pith_short_16","alias_value":"4ATR4ENV2D5PIKMB","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"pith_short_8","alias_value":"4ATR4ENV","created_at":"2026-07-05T12:08:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4ATR4ENV2D5PIKMBYMB72HCCWW","target":"record","payload":{"canonical_record":{"source":{"id":"2509.08011","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.quant-gas","submitted_at":"2025-09-08T17:07:40Z","cross_cats_sorted":["cond-mat.str-el","quant-ph"],"title_canon_sha256":"dcb73b6b52baeed43d054302e31e671bce749cac17245a46b7d1202adf0c5f30","abstract_canon_sha256":"2ba6fc2ba5760d908b1b8987e9826912bfc2eaab2d0f85b4099023b84ddbb3c9"},"schema_version":"1.0"},"canonical_sha256":"e0271e11b5d0faf42981c303fd1c42b5b9501ace2d4596290b7cdd323b68acfc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:08:09.697057Z","signature_b64":"mt61OYKcGnVhmDMHbTPp9uxT5/L0CqHzE9qd6TFSU8CRfJgrRPCuzeZ08N4nfxDQh5wgBh39YuXq6nHhMIF8CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0271e11b5d0faf42981c303fd1c42b5b9501ace2d4596290b7cdd323b68acfc","last_reissued_at":"2026-07-05T12:08:09.696326Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:08:09.696326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.08011","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":"2026-07-05T12:08:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jZOs9B2VzWmeRUXMnwLyEhQl1Ls+Sr3C2mQC97oOsNfc5A+pxHI9+skW/ZhqmbK1JierstcC1FaFdkpvLO6aAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:22:21.151892Z"},"content_sha256":"774f9d93cf94e7a3b20cc91e11e03fcd866d0be30d3eed1eb085ac8b360d13d1","schema_version":"1.0","event_id":"sha256:774f9d93cf94e7a3b20cc91e11e03fcd866d0be30d3eed1eb085ac8b360d13d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4ATR4ENV2D5PIKMBYMB72HCCWW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine learning applications in cold atom quantum simulators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.str-el","quant-ph"],"primary_cat":"cond-mat.quant-gas","authors_text":"Annabelle Bohrdt, Henning Schl\\\"omer","submitted_at":"2025-09-08T17:07:40Z","abstract_excerpt":"As ultracold atom experiments become highly controlled and scalable quantum simulators, they require sophisticated control over high-dimensional parameter spaces and generate increasingly complex measurement data that need to be analyzed and interpreted efficiently. Machine learning (ML) techniques have been established as versatile tools for addressing these challenges, offering strategies for data interpretation, experimental control, and theoretical modeling. In this review, we provide a perspective on how machine learning is being applied across various aspects of quantum simulation, with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08011","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/2509.08011/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":"2026-07-05T12:08:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qDvZ/DV7JtNONxhROqctDgG5MwqSPJMnafTtGycPI5yRhyt9RzkUzEy4/gPqniJUqzijCl2Fa5H3vsIAF3bWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:22:21.152288Z"},"content_sha256":"db48bfacf4077360ca983de98fa90bfad875880b97568e83cd6b47d3b945956c","schema_version":"1.0","event_id":"sha256:db48bfacf4077360ca983de98fa90bfad875880b97568e83cd6b47d3b945956c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ATR4ENV2D5PIKMBYMB72HCCWW/bundle.json","state_url":"https://pith.science/pith/4ATR4ENV2D5PIKMBYMB72HCCWW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ATR4ENV2D5PIKMBYMB72HCCWW/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":"2026-08-05T20:22:21Z","links":{"resolver":"https://pith.science/pith/4ATR4ENV2D5PIKMBYMB72HCCWW","bundle":"https://pith.science/pith/4ATR4ENV2D5PIKMBYMB72HCCWW/bundle.json","state":"https://pith.science/pith/4ATR4ENV2D5PIKMBYMB72HCCWW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ATR4ENV2D5PIKMBYMB72HCCWW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4ATR4ENV2D5PIKMBYMB72HCCWW","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":"2ba6fc2ba5760d908b1b8987e9826912bfc2eaab2d0f85b4099023b84ddbb3c9","cross_cats_sorted":["cond-mat.str-el","quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.quant-gas","submitted_at":"2025-09-08T17:07:40Z","title_canon_sha256":"dcb73b6b52baeed43d054302e31e671bce749cac17245a46b7d1202adf0c5f30"},"schema_version":"1.0","source":{"id":"2509.08011","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08011","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08011v1","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08011","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"pith_short_12","alias_value":"4ATR4ENV2D5P","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"pith_short_16","alias_value":"4ATR4ENV2D5PIKMB","created_at":"2026-07-05T12:08:09Z"},{"alias_kind":"pith_short_8","alias_value":"4ATR4ENV","created_at":"2026-07-05T12:08:09Z"}],"graph_snapshots":[{"event_id":"sha256:db48bfacf4077360ca983de98fa90bfad875880b97568e83cd6b47d3b945956c","target":"graph","created_at":"2026-07-05T12:08:09Z","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/2509.08011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As ultracold atom experiments become highly controlled and scalable quantum simulators, they require sophisticated control over high-dimensional parameter spaces and generate increasingly complex measurement data that need to be analyzed and interpreted efficiently. Machine learning (ML) techniques have been established as versatile tools for addressing these challenges, offering strategies for data interpretation, experimental control, and theoretical modeling. In this review, we provide a perspective on how machine learning is being applied across various aspects of quantum simulation, with ","authors_text":"Annabelle Bohrdt, Henning Schl\\\"omer","cross_cats":["cond-mat.str-el","quant-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.quant-gas","submitted_at":"2025-09-08T17:07:40Z","title":"Machine learning applications in cold atom quantum simulators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08011","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":"sha256:774f9d93cf94e7a3b20cc91e11e03fcd866d0be30d3eed1eb085ac8b360d13d1","target":"record","created_at":"2026-07-05T12:08:09Z","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":"2ba6fc2ba5760d908b1b8987e9826912bfc2eaab2d0f85b4099023b84ddbb3c9","cross_cats_sorted":["cond-mat.str-el","quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.quant-gas","submitted_at":"2025-09-08T17:07:40Z","title_canon_sha256":"dcb73b6b52baeed43d054302e31e671bce749cac17245a46b7d1202adf0c5f30"},"schema_version":"1.0","source":{"id":"2509.08011","kind":"arxiv","version":1}},"canonical_sha256":"e0271e11b5d0faf42981c303fd1c42b5b9501ace2d4596290b7cdd323b68acfc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0271e11b5d0faf42981c303fd1c42b5b9501ace2d4596290b7cdd323b68acfc","first_computed_at":"2026-07-05T12:08:09.696326Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:08:09.696326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mt61OYKcGnVhmDMHbTPp9uxT5/L0CqHzE9qd6TFSU8CRfJgrRPCuzeZ08N4nfxDQh5wgBh39YuXq6nHhMIF8CA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:08:09.697057Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.08011","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:774f9d93cf94e7a3b20cc91e11e03fcd866d0be30d3eed1eb085ac8b360d13d1","sha256:db48bfacf4077360ca983de98fa90bfad875880b97568e83cd6b47d3b945956c"],"state_sha256":"961f6467b39ab5f70d7b4d1605d3de147242fee010b1943c8717370aecf5fe24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mutbG9PBomBXW6612CfihpGzsC5/uhQVW1KJ073yD7jpSB/w2HJTRMGOJK53hMkylz+E5NDv5trpCLWQLV3UCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:22:21.155222Z","bundle_sha256":"6de014c691c930fae42adb73d85eb3f17f26b34f4efda666a8989dd736baad23"}}