{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HLNGPOCUXBTVTKNF5AO2RN63IN","short_pith_number":"pith:HLNGPOCU","canonical_record":{"source":{"id":"2502.19629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-26T23:48:02Z","cross_cats_sorted":[],"title_canon_sha256":"12d9d7de73f6ba5d979c82ab97a0d5e6debd1c383d7d2601ef21f6889fe1d396","abstract_canon_sha256":"6b75d4448847b598c36f9200e2d2e4f07d1495500d1862eb3672f2a3ef46a590"},"schema_version":"1.0"},"canonical_sha256":"3ada67b854b86759a9a5e81da8b7db4371917c5645916d5f37325d7a012aaca5","source":{"kind":"arxiv","id":"2502.19629","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19629","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19629v1","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19629","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"pith_short_12","alias_value":"HLNGPOCUXBTV","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"pith_short_16","alias_value":"HLNGPOCUXBTVTKNF","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"pith_short_8","alias_value":"HLNGPOCU","created_at":"2026-07-05T10:20:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HLNGPOCUXBTVTKNF5AO2RN63IN","target":"record","payload":{"canonical_record":{"source":{"id":"2502.19629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-26T23:48:02Z","cross_cats_sorted":[],"title_canon_sha256":"12d9d7de73f6ba5d979c82ab97a0d5e6debd1c383d7d2601ef21f6889fe1d396","abstract_canon_sha256":"6b75d4448847b598c36f9200e2d2e4f07d1495500d1862eb3672f2a3ef46a590"},"schema_version":"1.0"},"canonical_sha256":"3ada67b854b86759a9a5e81da8b7db4371917c5645916d5f37325d7a012aaca5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:20:50.110011Z","signature_b64":"E9PZlfeHz5N4ANy2PxHV1Nm/eRFlGKLcwR45CsYP9fHfKbnUyGAXfIJ/VNVTeGs9dXwDVoUq+wF1JXr96yr+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ada67b854b86759a9a5e81da8b7db4371917c5645916d5f37325d7a012aaca5","last_reissued_at":"2026-07-05T10:20:50.109511Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:20:50.109511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.19629","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":"2026-07-05T10:20:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ojOklX2ji5GjcAmAsM5ZI824Yfv2VagplRUftVOE98Dag5BOvZ8btgZaLN1yNmY7ti1y1jr0+VDs5HGyovbhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:03:48.732872Z"},"content_sha256":"6db35f356ca098f6ca199f4cb63304a75bd2eb61a59e6f17d38c7c6e00d4df72","schema_version":"1.0","event_id":"sha256:6db35f356ca098f6ca199f4cb63304a75bd2eb61a59e6f17d38c7c6e00d4df72"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HLNGPOCUXBTVTKNF5AO2RN63IN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agentic Mixture-of-Workflows for Multi-Modal Chemical Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Nathaniel H. Park, Sara Capponi, Tiffany J. Callahan","submitted_at":"2025-02-26T23:48:02Z","abstract_excerpt":"The vast and complex materials design space demands innovative strategies to integrate multidisciplinary scientific knowledge and optimize materials discovery. While large language models (LLMs) have demonstrated promising reasoning and automation capabilities across various domains, their application in materials science remains limited due to a lack of benchmarking standards and practical implementation frameworks. To address these challenges, we introduce Mixture-of-Workflows for Self-Corrective Retrieval-Augmented Generation (CRAG-MoW) - a novel paradigm that orchestrates multiple agentic "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19629","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/2502.19629/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":"2026-07-05T10:20:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1bsBizjEOjBePpX2RxMe3UKqPrViIijlnIubAUg6BWcXwMZbQVP+peoc92fOm4bJsADYRR+06P3TrvfDRTR6Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:03:48.733241Z"},"content_sha256":"06af49096efde758a6a02ebd399aaf13019eb6f304a292b8d4836d30434354a9","schema_version":"1.0","event_id":"sha256:06af49096efde758a6a02ebd399aaf13019eb6f304a292b8d4836d30434354a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HLNGPOCUXBTVTKNF5AO2RN63IN/bundle.json","state_url":"https://pith.science/pith/HLNGPOCUXBTVTKNF5AO2RN63IN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HLNGPOCUXBTVTKNF5AO2RN63IN/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":"2026-07-08T16:03:48Z","links":{"resolver":"https://pith.science/pith/HLNGPOCUXBTVTKNF5AO2RN63IN","bundle":"https://pith.science/pith/HLNGPOCUXBTVTKNF5AO2RN63IN/bundle.json","state":"https://pith.science/pith/HLNGPOCUXBTVTKNF5AO2RN63IN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HLNGPOCUXBTVTKNF5AO2RN63IN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HLNGPOCUXBTVTKNF5AO2RN63IN","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":"6b75d4448847b598c36f9200e2d2e4f07d1495500d1862eb3672f2a3ef46a590","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-26T23:48:02Z","title_canon_sha256":"12d9d7de73f6ba5d979c82ab97a0d5e6debd1c383d7d2601ef21f6889fe1d396"},"schema_version":"1.0","source":{"id":"2502.19629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19629","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19629v1","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19629","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"pith_short_12","alias_value":"HLNGPOCUXBTV","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"pith_short_16","alias_value":"HLNGPOCUXBTVTKNF","created_at":"2026-07-05T10:20:50Z"},{"alias_kind":"pith_short_8","alias_value":"HLNGPOCU","created_at":"2026-07-05T10:20:50Z"}],"graph_snapshots":[{"event_id":"sha256:06af49096efde758a6a02ebd399aaf13019eb6f304a292b8d4836d30434354a9","target":"graph","created_at":"2026-07-05T10:20:50Z","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/2502.19629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The vast and complex materials design space demands innovative strategies to integrate multidisciplinary scientific knowledge and optimize materials discovery. While large language models (LLMs) have demonstrated promising reasoning and automation capabilities across various domains, their application in materials science remains limited due to a lack of benchmarking standards and practical implementation frameworks. To address these challenges, we introduce Mixture-of-Workflows for Self-Corrective Retrieval-Augmented Generation (CRAG-MoW) - a novel paradigm that orchestrates multiple agentic ","authors_text":"Nathaniel H. Park, Sara Capponi, Tiffany J. Callahan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-26T23:48:02Z","title":"Agentic Mixture-of-Workflows for Multi-Modal Chemical Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19629","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":"sha256:6db35f356ca098f6ca199f4cb63304a75bd2eb61a59e6f17d38c7c6e00d4df72","target":"record","created_at":"2026-07-05T10:20:50Z","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":"6b75d4448847b598c36f9200e2d2e4f07d1495500d1862eb3672f2a3ef46a590","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-26T23:48:02Z","title_canon_sha256":"12d9d7de73f6ba5d979c82ab97a0d5e6debd1c383d7d2601ef21f6889fe1d396"},"schema_version":"1.0","source":{"id":"2502.19629","kind":"arxiv","version":1}},"canonical_sha256":"3ada67b854b86759a9a5e81da8b7db4371917c5645916d5f37325d7a012aaca5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ada67b854b86759a9a5e81da8b7db4371917c5645916d5f37325d7a012aaca5","first_computed_at":"2026-07-05T10:20:50.109511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:50.109511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E9PZlfeHz5N4ANy2PxHV1Nm/eRFlGKLcwR45CsYP9fHfKbnUyGAXfIJ/VNVTeGs9dXwDVoUq+wF1JXr96yr+BA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:50.110011Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.19629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6db35f356ca098f6ca199f4cb63304a75bd2eb61a59e6f17d38c7c6e00d4df72","sha256:06af49096efde758a6a02ebd399aaf13019eb6f304a292b8d4836d30434354a9"],"state_sha256":"1fc410b1f4a730d2409348e9b520e7c6084a895d3ef131664ad8262adb86d0e0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FPRc4MuplfGa+BO7ti6mhNyN1BaE/jXksHqmwwFT6eKdzi+zE2mdF6JcAYaz+8ZRi5aKJzJaFsuymi9QBg45Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T16:03:48.735361Z","bundle_sha256":"b1d3ea7bf005c4b3de9908d77f2bd0d6239cdcf04b67d7518e183b7347de5b6b"}}