{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZFWJLQBYQJODB4CMPUCFTD6MYU","short_pith_number":"pith:ZFWJLQBY","canonical_record":{"source":{"id":"2504.16728","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-23T14:01:36Z","cross_cats_sorted":["cs.CL","cs.HC"],"title_canon_sha256":"a6c778114efe5d8e66f30418e68e0cfd6e41a293af921f35024f5747e8df4f3a","abstract_canon_sha256":"ef21b42b3f77e572c88f369d8b1f8a0c407e131ae67517630b5fc75058691cfd"},"schema_version":"1.0"},"canonical_sha256":"c96c95c038825c30f04c7d04598fccc5269a664079f9bf3fe095799cbff24a86","source":{"kind":"arxiv","id":"2504.16728","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.16728","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2504.16728v2","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16728","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"ZFWJLQBYQJOD","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"ZFWJLQBYQJODB4CM","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"ZFWJLQBY","created_at":"2026-07-05T11:09:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZFWJLQBYQJODB4CMPUCFTD6MYU","target":"record","payload":{"canonical_record":{"source":{"id":"2504.16728","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-23T14:01:36Z","cross_cats_sorted":["cs.CL","cs.HC"],"title_canon_sha256":"a6c778114efe5d8e66f30418e68e0cfd6e41a293af921f35024f5747e8df4f3a","abstract_canon_sha256":"ef21b42b3f77e572c88f369d8b1f8a0c407e131ae67517630b5fc75058691cfd"},"schema_version":"1.0"},"canonical_sha256":"c96c95c038825c30f04c7d04598fccc5269a664079f9bf3fe095799cbff24a86","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:11.869135Z","signature_b64":"juLA+PHj1FIS7e4pL549oBg315szGhsr8IU2v15Ck866L0iBi0VswT4ZVi0n25IEoAsj1Y3hylWhGMfd0Tq3DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c96c95c038825c30f04c7d04598fccc5269a664079f9bf3fe095799cbff24a86","last_reissued_at":"2026-07-05T11:09:11.868539Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:11.868539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.16728","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nLXF3lpkrrd9YeD8KFcTW5rUOZ1ne94+POj1UgOj1mehWGf0Z5J68i+Wp5o5mSI9L+EZPbDohdFqaxCxKlpQDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:25:05.657547Z"},"content_sha256":"776cc6d388f3bd97c092868d15fc8f82b9aa1ffe2a122bb5f41cee0109224ad4","schema_version":"1.0","event_id":"sha256:776cc6d388f3bd97c092868d15fc8f82b9aa1ffe2a122bb5f41cee0109224ad4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZFWJLQBYQJODB4CMPUCFTD6MYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.HC"],"primary_cat":"cs.AI","authors_text":"Aniketh Garikaparthi, Arman Cohan, Lovekesh Vig, Manasi Patwardhan","submitted_at":"2025-04-23T14:01:36Z","abstract_excerpt":"The rapid advancement in capabilities of large language models (LLMs) raises a pivotal question: How can LLMs accelerate scientific discovery? This work tackles the crucial first stage of research, generating novel hypotheses. While recent work on automated hypothesis generation focuses on multi-agent frameworks and extending test-time compute, none of the approaches effectively incorporate transparency and steerability through a synergistic Human-in-the-loop (HITL) approach. To address this gap, we introduce IRIS: Interactive Research Ideation System, an open-source platform designed for rese"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16728","kind":"arxiv","version":2},"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/2504.16728/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":"2026-07-05T11:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"opSNnRY5/cInsd6X7kIC9MfTsGXwGlBsEUPUE7huMJ7Mr9jOvXFTYqf9NW6dUSiJvEny9bh0oxhFDXVtfXq+Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:25:05.658045Z"},"content_sha256":"d201567b99132f823230de71c26e6aa75f3eff6a510e35573ba9891303badf6c","schema_version":"1.0","event_id":"sha256:d201567b99132f823230de71c26e6aa75f3eff6a510e35573ba9891303badf6c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU/bundle.json","state_url":"https://pith.science/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU/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":"2026-08-08T11:25:05Z","links":{"resolver":"https://pith.science/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU","bundle":"https://pith.science/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU/bundle.json","state":"https://pith.science/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZFWJLQBYQJODB4CMPUCFTD6MYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZFWJLQBYQJODB4CMPUCFTD6MYU","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":"ef21b42b3f77e572c88f369d8b1f8a0c407e131ae67517630b5fc75058691cfd","cross_cats_sorted":["cs.CL","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-23T14:01:36Z","title_canon_sha256":"a6c778114efe5d8e66f30418e68e0cfd6e41a293af921f35024f5747e8df4f3a"},"schema_version":"1.0","source":{"id":"2504.16728","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.16728","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2504.16728v2","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16728","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"ZFWJLQBYQJOD","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"ZFWJLQBYQJODB4CM","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"ZFWJLQBY","created_at":"2026-07-05T11:09:11Z"}],"graph_snapshots":[{"event_id":"sha256:d201567b99132f823230de71c26e6aa75f3eff6a510e35573ba9891303badf6c","target":"graph","created_at":"2026-07-05T11:09:11Z","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/2504.16728/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid advancement in capabilities of large language models (LLMs) raises a pivotal question: How can LLMs accelerate scientific discovery? This work tackles the crucial first stage of research, generating novel hypotheses. While recent work on automated hypothesis generation focuses on multi-agent frameworks and extending test-time compute, none of the approaches effectively incorporate transparency and steerability through a synergistic Human-in-the-loop (HITL) approach. To address this gap, we introduce IRIS: Interactive Research Ideation System, an open-source platform designed for rese","authors_text":"Aniketh Garikaparthi, Arman Cohan, Lovekesh Vig, Manasi Patwardhan","cross_cats":["cs.CL","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-23T14:01:36Z","title":"IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16728","kind":"arxiv","version":2},"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":"sha256:776cc6d388f3bd97c092868d15fc8f82b9aa1ffe2a122bb5f41cee0109224ad4","target":"record","created_at":"2026-07-05T11:09:11Z","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":"ef21b42b3f77e572c88f369d8b1f8a0c407e131ae67517630b5fc75058691cfd","cross_cats_sorted":["cs.CL","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-23T14:01:36Z","title_canon_sha256":"a6c778114efe5d8e66f30418e68e0cfd6e41a293af921f35024f5747e8df4f3a"},"schema_version":"1.0","source":{"id":"2504.16728","kind":"arxiv","version":2}},"canonical_sha256":"c96c95c038825c30f04c7d04598fccc5269a664079f9bf3fe095799cbff24a86","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c96c95c038825c30f04c7d04598fccc5269a664079f9bf3fe095799cbff24a86","first_computed_at":"2026-07-05T11:09:11.868539Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:11.868539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"juLA+PHj1FIS7e4pL549oBg315szGhsr8IU2v15Ck866L0iBi0VswT4ZVi0n25IEoAsj1Y3hylWhGMfd0Tq3DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:11.869135Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.16728","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:776cc6d388f3bd97c092868d15fc8f82b9aa1ffe2a122bb5f41cee0109224ad4","sha256:d201567b99132f823230de71c26e6aa75f3eff6a510e35573ba9891303badf6c"],"state_sha256":"60c665741cc4c094fc2911287850b739ab69b9dcaf7eb0a49b83cb7b594e518e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HqwN5azFQMYrtd52B8FWiqpCzebyviG7ofEQnYxbExtt6Rqt/XjRYgwloVRJTME5GW4BaV31xqK28MaLYb5YBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:25:05.663321Z","bundle_sha256":"6f82e0e0211580fa4ce334752bdbcadfdf4950862c47bccdf1032a60071ea660"}}