{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MM2NUDEU74THZCIZCG4AHNFORN","short_pith_number":"pith:MM2NUDEU","schema_version":"1.0","canonical_sha256":"6334da0c94ff267c891911b803b4ae8b7af8ec69143aad878e700511d51a0bd3","source":{"kind":"arxiv","id":"2605.18831","version":1},"attestation_state":"computed","paper":{"title":"Towards Discovery of Polymers for Insulin Delivery via Physics-Grounded Agentic Workflows","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.QM","authors_text":"Martins Otun","submitted_at":"2026-05-12T22:16:00Z","abstract_excerpt":"Cold-chain storage limits access to insulin for hundreds of millions of people; a thermally protective patch polymer could help, but the design space is too large for exhaustive experiment. Starting from that problem, we narrow to an agentic workflow: a large language model (LLM) calls physics-based tools through the Model Context Protocol (MCP), searching the discrete PSMILES space under a budget of OpenMM Packmol-matrix evaluations. The LLM acts as an implicit acquisition function conditioned on a persistent \"discovery world\": hypotheses, literature claims, and simulation outcomes updated ea"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.18831","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2026-05-12T22:16:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8569c116100dcf90790c5169f7425d307709d127d70eba6cfcef7db84acda133","abstract_canon_sha256":"603142c1e9093f6430e852b619fcbd877d3a3773950a33de547807df1aedcb38"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:24.848769Z","signature_b64":"oBEhl1nGu5negNztFOPFPERc4K9V2GX/79Rn1sBwN2gBkScyBh/eMQ9v1uXxNMOKpWZrG8TuDte6MFzT408eBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6334da0c94ff267c891911b803b4ae8b7af8ec69143aad878e700511d51a0bd3","last_reissued_at":"2026-05-20T00:06:24.848065Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:24.848065Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Discovery of Polymers for Insulin Delivery via Physics-Grounded Agentic Workflows","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.QM","authors_text":"Martins Otun","submitted_at":"2026-05-12T22:16:00Z","abstract_excerpt":"Cold-chain storage limits access to insulin for hundreds of millions of people; a thermally protective patch polymer could help, but the design space is too large for exhaustive experiment. Starting from that problem, we narrow to an agentic workflow: a large language model (LLM) calls physics-based tools through the Model Context Protocol (MCP), searching the discrete PSMILES space under a budget of OpenMM Packmol-matrix evaluations. The LLM acts as an implicit acquisition function conditioned on a persistent \"discovery world\": hypotheses, literature claims, and simulation outcomes updated ea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18831","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/2605.18831/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.18831","created_at":"2026-05-20T00:06:24.848172+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.18831v1","created_at":"2026-05-20T00:06:24.848172+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18831","created_at":"2026-05-20T00:06:24.848172+00:00"},{"alias_kind":"pith_short_12","alias_value":"MM2NUDEU74TH","created_at":"2026-05-20T00:06:24.848172+00:00"},{"alias_kind":"pith_short_16","alias_value":"MM2NUDEU74THZCIZ","created_at":"2026-05-20T00:06:24.848172+00:00"},{"alias_kind":"pith_short_8","alias_value":"MM2NUDEU","created_at":"2026-05-20T00:06:24.848172+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN","json":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN.json","graph_json":"https://pith.science/api/pith-number/MM2NUDEU74THZCIZCG4AHNFORN/graph.json","events_json":"https://pith.science/api/pith-number/MM2NUDEU74THZCIZCG4AHNFORN/events.json","paper":"https://pith.science/paper/MM2NUDEU"},"agent_actions":{"view_html":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN","download_json":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN.json","view_paper":"https://pith.science/paper/MM2NUDEU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.18831&json=true","fetch_graph":"https://pith.science/api/pith-number/MM2NUDEU74THZCIZCG4AHNFORN/graph.json","fetch_events":"https://pith.science/api/pith-number/MM2NUDEU74THZCIZCG4AHNFORN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN/action/storage_attestation","attest_author":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN/action/author_attestation","sign_citation":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN/action/citation_signature","submit_replication":"https://pith.science/pith/MM2NUDEU74THZCIZCG4AHNFORN/action/replication_record"}},"created_at":"2026-05-20T00:06:24.848172+00:00","updated_at":"2026-05-20T00:06:24.848172+00:00"}