{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5NGLLB4AMSBXX5WH2GI5YJGLGI","short_pith_number":"pith:5NGLLB4A","canonical_record":{"source":{"id":"2403.06257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-03-10T16:55:05Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"8c1dca7fdc1b329418a44a911cbba64d4b0420117178de42f44bac05c4422111","abstract_canon_sha256":"8bf19cff6b00abeaebcfe146f439cfc81a1135c61311becce5505581aa6d45bd"},"schema_version":"1.0"},"canonical_sha256":"eb4cb5878064837bf6c7d191dc24cb323613d16eb907827e90fbf485010db098","source":{"kind":"arxiv","id":"2403.06257","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06257","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06257v1","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06257","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"5NGLLB4AMSBX","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_16","alias_value":"5NGLLB4AMSBXX5WH","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_8","alias_value":"5NGLLB4A","created_at":"2026-07-05T07:54:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5NGLLB4AMSBXX5WH2GI5YJGLGI","target":"record","payload":{"canonical_record":{"source":{"id":"2403.06257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-03-10T16:55:05Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"8c1dca7fdc1b329418a44a911cbba64d4b0420117178de42f44bac05c4422111","abstract_canon_sha256":"8bf19cff6b00abeaebcfe146f439cfc81a1135c61311becce5505581aa6d45bd"},"schema_version":"1.0"},"canonical_sha256":"eb4cb5878064837bf6c7d191dc24cb323613d16eb907827e90fbf485010db098","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:21.235014Z","signature_b64":"TebqVhG/V83LKmDJTrAWfyoa0Pl2UGTTk8cH98Be4eN1LXrKOu4jPwQPcgG1/6v+N3stus7mBmQeN58PpKdbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb4cb5878064837bf6c7d191dc24cb323613d16eb907827e90fbf485010db098","last_reissued_at":"2026-07-05T07:54:21.234585Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:21.234585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.06257","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":"2026-07-05T07:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yvzxb1MliN3CrgK9dTGDPkxBMo1XQsE4TTqWRn3lYALtPyCK9DdH3YejJjExDBFLVcaKnf+in1ItXU8RkBwJAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:01:41.222079Z"},"content_sha256":"bbf32d422069b93e0899a31c7476d79ab2087494923784eabab644143461dbf1","schema_version":"1.0","event_id":"sha256:bbf32d422069b93e0899a31c7476d79ab2087494923784eabab644143461dbf1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5NGLLB4AMSBXX5WH2GI5YJGLGI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Control of flow behavior in complex fluids using automatic differentiation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"physics.flu-dyn","authors_text":"Kaylie Hausknecht, Michael Brenner, Mohammed Alhashim","submitted_at":"2024-03-10T16:55:05Z","abstract_excerpt":"Inverse design of complex flows is notoriously challenging because of the high cost of high dimensional optimization. Usually, optimization problems are either restricted to few control parameters, or adjoint-based approaches are used to convert the optimization problem into a boundary value problem. Here, we show that the recent advances in automatic differentiation (AD) provide a generic platform for solving inverse problems in complex fluids. To demonstrate the versatility of the approach, we solve an array of optimization problems related to active matter motion in Newtonian fluids, disper"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06257","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/2403.06257/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":"2026-07-05T07:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WN6rCTdHe4Y5n7pK8IiXb5miiv9I0SwWM54Nc1NPLiX3E4KQ8NA9FTo/W+xcTMV7WBvQuyXYKk0JySNvo96rBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:01:41.222539Z"},"content_sha256":"2617d1b2bd7fd49f2b96a180a7cd13afd682893918818f699e16e7d9263095db","schema_version":"1.0","event_id":"sha256:2617d1b2bd7fd49f2b96a180a7cd13afd682893918818f699e16e7d9263095db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI/bundle.json","state_url":"https://pith.science/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI/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":"2026-07-06T17:01:41Z","links":{"resolver":"https://pith.science/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI","bundle":"https://pith.science/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI/bundle.json","state":"https://pith.science/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5NGLLB4AMSBXX5WH2GI5YJGLGI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5NGLLB4AMSBXX5WH2GI5YJGLGI","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":"8bf19cff6b00abeaebcfe146f439cfc81a1135c61311becce5505581aa6d45bd","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-03-10T16:55:05Z","title_canon_sha256":"8c1dca7fdc1b329418a44a911cbba64d4b0420117178de42f44bac05c4422111"},"schema_version":"1.0","source":{"id":"2403.06257","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06257","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06257v1","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06257","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"5NGLLB4AMSBX","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_16","alias_value":"5NGLLB4AMSBXX5WH","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_8","alias_value":"5NGLLB4A","created_at":"2026-07-05T07:54:21Z"}],"graph_snapshots":[{"event_id":"sha256:2617d1b2bd7fd49f2b96a180a7cd13afd682893918818f699e16e7d9263095db","target":"graph","created_at":"2026-07-05T07:54:21Z","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/2403.06257/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inverse design of complex flows is notoriously challenging because of the high cost of high dimensional optimization. Usually, optimization problems are either restricted to few control parameters, or adjoint-based approaches are used to convert the optimization problem into a boundary value problem. Here, we show that the recent advances in automatic differentiation (AD) provide a generic platform for solving inverse problems in complex fluids. To demonstrate the versatility of the approach, we solve an array of optimization problems related to active matter motion in Newtonian fluids, disper","authors_text":"Kaylie Hausknecht, Michael Brenner, Mohammed Alhashim","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-03-10T16:55:05Z","title":"Control of flow behavior in complex fluids using automatic differentiation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06257","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:bbf32d422069b93e0899a31c7476d79ab2087494923784eabab644143461dbf1","target":"record","created_at":"2026-07-05T07:54:21Z","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":"8bf19cff6b00abeaebcfe146f439cfc81a1135c61311becce5505581aa6d45bd","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-03-10T16:55:05Z","title_canon_sha256":"8c1dca7fdc1b329418a44a911cbba64d4b0420117178de42f44bac05c4422111"},"schema_version":"1.0","source":{"id":"2403.06257","kind":"arxiv","version":1}},"canonical_sha256":"eb4cb5878064837bf6c7d191dc24cb323613d16eb907827e90fbf485010db098","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb4cb5878064837bf6c7d191dc24cb323613d16eb907827e90fbf485010db098","first_computed_at":"2026-07-05T07:54:21.234585Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:21.234585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TebqVhG/V83LKmDJTrAWfyoa0Pl2UGTTk8cH98Be4eN1LXrKOu4jPwQPcgG1/6v+N3stus7mBmQeN58PpKdbBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:21.235014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.06257","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbf32d422069b93e0899a31c7476d79ab2087494923784eabab644143461dbf1","sha256:2617d1b2bd7fd49f2b96a180a7cd13afd682893918818f699e16e7d9263095db"],"state_sha256":"3e5f454490b0c56080fccadc31adb5bd95bbe822b3947b053057997ba7a71088"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JDHIFF8jgeKJorIGFNndcah7EB6gm1eUcsaejutEyPqT6h4Fys0VZAdaxgw166fco8cMvzmSIk4GzGXvxAcwDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:01:41.224975Z","bundle_sha256":"e6388152f80bd3a5570666852fea64b739c00d0dc1a145e4b0b277e15c28a270"}}