{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MM4BKRY7CG7FM2QFGANG5AZI75","short_pith_number":"pith:MM4BKRY7","canonical_record":{"source":{"id":"2506.00249","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:33:03Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"33d40c7e382e2e42e350ab828672b22be32360b256e84b28e877c1a25aedbf57","abstract_canon_sha256":"9022f5291b54eddeec7df59f5d36b829d73dea2a2991a57573d159969d833b39"},"schema_version":"1.0"},"canonical_sha256":"633815471f11be566a05301a6e8328ff6d0ec7a2a10c6167e3e4297428d4edff","source":{"kind":"arxiv","id":"2506.00249","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00249","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00249v1","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00249","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_12","alias_value":"MM4BKRY7CG7F","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_16","alias_value":"MM4BKRY7CG7FM2QF","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_8","alias_value":"MM4BKRY7","created_at":"2026-07-05T11:13:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MM4BKRY7CG7FM2QFGANG5AZI75","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00249","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:33:03Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"33d40c7e382e2e42e350ab828672b22be32360b256e84b28e877c1a25aedbf57","abstract_canon_sha256":"9022f5291b54eddeec7df59f5d36b829d73dea2a2991a57573d159969d833b39"},"schema_version":"1.0"},"canonical_sha256":"633815471f11be566a05301a6e8328ff6d0ec7a2a10c6167e3e4297428d4edff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:31.520948Z","signature_b64":"tAcAkjvGYDzhFSOr2YvisPwtOmRXjKuet3gXyRX0dNM4UV5EhfjxK3H4DZqVnu+YOehpbxK9xFJ4wEKVho3UBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"633815471f11be566a05301a6e8328ff6d0ec7a2a10c6167e3e4297428d4edff","last_reissued_at":"2026-07-05T11:13:31.520499Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:31.520499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00249","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":"2026-07-05T11:13:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qnM7E9+uhH4f3jRaZo80nNWMCI4KCAFYb2NX1pERJw/0Rl4VFJS+MXnC23YHTdEKr3YqbRp3ZuRKdmKt8RvPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:22:55.567503Z"},"content_sha256":"5022bc80c3cee994ed756adf913943ca3dc02b97a461c7ed608766b30753ba70","schema_version":"1.0","event_id":"sha256:5022bc80c3cee994ed756adf913943ca3dc02b97a461c7ed608766b30753ba70"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MM4BKRY7CG7FM2QFGANG5AZI75","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MIR: Methodology Inspiration Retrieval for Scientific Research Problems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Aditya Sanjiv Kanade, Aman Hassan, Aniketh Garikaparthi, Arman Cohan, Lovekesh Vig, Manasi Patwardhan","submitted_at":"2025-05-30T21:33:03Z","abstract_excerpt":"There has been a surge of interest in harnessing the reasoning capabilities of Large Language Models (LLMs) to accelerate scientific discovery. While existing approaches rely on grounding the discovery process within the relevant literature, effectiveness varies significantly with the quality and nature of the retrieved literature. We address the challenge of retrieving prior work whose concepts can inspire solutions for a given research problem, a task we define as Methodology Inspiration Retrieval (MIR). We construct a novel dataset tailored for training and evaluating retrievers on MIR, and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00249","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/2506.00249/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":"2026-07-05T11:13:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U099hZWb/LSq3BJvbQL8zasq9NuDfqa5W/QWUVPmSb55cj+rGRCMHwt5Tc+T2zyI42QuFPWgF0tMI7MHpIhWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:22:55.568361Z"},"content_sha256":"fd1a452fd5f77106cba7372bd95d32ae25434bdf7d6ab6570f0963bdee5906b2","schema_version":"1.0","event_id":"sha256:fd1a452fd5f77106cba7372bd95d32ae25434bdf7d6ab6570f0963bdee5906b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MM4BKRY7CG7FM2QFGANG5AZI75/bundle.json","state_url":"https://pith.science/pith/MM4BKRY7CG7FM2QFGANG5AZI75/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MM4BKRY7CG7FM2QFGANG5AZI75/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":"2026-08-08T16:22:55Z","links":{"resolver":"https://pith.science/pith/MM4BKRY7CG7FM2QFGANG5AZI75","bundle":"https://pith.science/pith/MM4BKRY7CG7FM2QFGANG5AZI75/bundle.json","state":"https://pith.science/pith/MM4BKRY7CG7FM2QFGANG5AZI75/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MM4BKRY7CG7FM2QFGANG5AZI75/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MM4BKRY7CG7FM2QFGANG5AZI75","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":"9022f5291b54eddeec7df59f5d36b829d73dea2a2991a57573d159969d833b39","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:33:03Z","title_canon_sha256":"33d40c7e382e2e42e350ab828672b22be32360b256e84b28e877c1a25aedbf57"},"schema_version":"1.0","source":{"id":"2506.00249","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00249","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00249v1","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00249","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_12","alias_value":"MM4BKRY7CG7F","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_16","alias_value":"MM4BKRY7CG7FM2QF","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_8","alias_value":"MM4BKRY7","created_at":"2026-07-05T11:13:31Z"}],"graph_snapshots":[{"event_id":"sha256:fd1a452fd5f77106cba7372bd95d32ae25434bdf7d6ab6570f0963bdee5906b2","target":"graph","created_at":"2026-07-05T11:13:31Z","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/2506.00249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There has been a surge of interest in harnessing the reasoning capabilities of Large Language Models (LLMs) to accelerate scientific discovery. While existing approaches rely on grounding the discovery process within the relevant literature, effectiveness varies significantly with the quality and nature of the retrieved literature. We address the challenge of retrieving prior work whose concepts can inspire solutions for a given research problem, a task we define as Methodology Inspiration Retrieval (MIR). We construct a novel dataset tailored for training and evaluating retrievers on MIR, and","authors_text":"Aditya Sanjiv Kanade, Aman Hassan, Aniketh Garikaparthi, Arman Cohan, Lovekesh Vig, Manasi Patwardhan","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:33:03Z","title":"MIR: Methodology Inspiration Retrieval for Scientific Research Problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00249","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":"sha256:5022bc80c3cee994ed756adf913943ca3dc02b97a461c7ed608766b30753ba70","target":"record","created_at":"2026-07-05T11:13:31Z","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":"9022f5291b54eddeec7df59f5d36b829d73dea2a2991a57573d159969d833b39","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:33:03Z","title_canon_sha256":"33d40c7e382e2e42e350ab828672b22be32360b256e84b28e877c1a25aedbf57"},"schema_version":"1.0","source":{"id":"2506.00249","kind":"arxiv","version":1}},"canonical_sha256":"633815471f11be566a05301a6e8328ff6d0ec7a2a10c6167e3e4297428d4edff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"633815471f11be566a05301a6e8328ff6d0ec7a2a10c6167e3e4297428d4edff","first_computed_at":"2026-07-05T11:13:31.520499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:31.520499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tAcAkjvGYDzhFSOr2YvisPwtOmRXjKuet3gXyRX0dNM4UV5EhfjxK3H4DZqVnu+YOehpbxK9xFJ4wEKVho3UBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:31.520948Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00249","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5022bc80c3cee994ed756adf913943ca3dc02b97a461c7ed608766b30753ba70","sha256:fd1a452fd5f77106cba7372bd95d32ae25434bdf7d6ab6570f0963bdee5906b2"],"state_sha256":"b65af1fbaeb8840d9f47c85983aaab1949fc8b7e392ef53d1c1b19f0eeae0abd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K575MK5XlDD0KD7vxPUEykZ9FUAV2OOwzKlIHyjnyuOOOi3ap0rmn3DtGWdI8r21MZpc53XiHmklXx1vPstDAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:22:55.573850Z","bundle_sha256":"46d7b7909579e90d8900cfeee604282c554dd2ee7e39e20701e64721af8a7314"}}