{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OZSVKF4KH62ZMISABUX3OLTDY3","short_pith_number":"pith:OZSVKF4K","canonical_record":{"source":{"id":"2608.10480","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-11T04:50:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f0cdd939221c57e89d519cc0e94db97e75ba23052f1876998a02d0b76f08854f","abstract_canon_sha256":"18af778cc82a232c173a7e95afb65a64e06ec96a3c8db24edb33cc67ee56a3da"},"schema_version":"1.0"},"canonical_sha256":"766555178a3fb59622400d2fb72e63c6c9d8c74767b2a7970071980e65e4ddbd","source":{"kind":"arxiv","id":"2608.10480","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10480","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10480v1","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10480","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"pith_short_12","alias_value":"OZSVKF4KH62Z","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"pith_short_16","alias_value":"OZSVKF4KH62ZMISA","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"pith_short_8","alias_value":"OZSVKF4K","created_at":"2026-08-12T01:22:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OZSVKF4KH62ZMISABUX3OLTDY3","target":"record","payload":{"canonical_record":{"source":{"id":"2608.10480","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-11T04:50:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f0cdd939221c57e89d519cc0e94db97e75ba23052f1876998a02d0b76f08854f","abstract_canon_sha256":"18af778cc82a232c173a7e95afb65a64e06ec96a3c8db24edb33cc67ee56a3da"},"schema_version":"1.0"},"canonical_sha256":"766555178a3fb59622400d2fb72e63c6c9d8c74767b2a7970071980e65e4ddbd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-12T01:22:34.356231Z","signature_b64":"2AmMarICIqcB690BPMfd8HnbK+mL1sM+krOdmsHt89aGytzXaemVvyWj+g3zdo6Z75HtnF6uu5FFqltmTAGBBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"766555178a3fb59622400d2fb72e63c6c9d8c74767b2a7970071980e65e4ddbd","last_reissued_at":"2026-08-12T01:22:34.354564Z","signature_status":"signed_v1","first_computed_at":"2026-08-12T01:22:34.354564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.10480","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":"2026-08-12T01:22:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8LgO4G2qA8uqG8zU16qMV8Ad3eFyrOMYSYPdh+SBWz4RxErAfiAYvyZssQPXd+rtf4UKV5PrZCHeShSfxh5IDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:20:46.974658Z"},"content_sha256":"df283652a78d86b9ba68849eac731609a23b505eb47d89c6007620a3af8fd3a0","schema_version":"1.0","event_id":"sha256:df283652a78d86b9ba68849eac731609a23b505eb47d89c6007620a3af8fd3a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OZSVKF4KH62ZMISABUX3OLTDY3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Granular Rationale-Guided Molecular LLM for Property Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Cheol Soon Lee, Junwoo Park, Minyoung Shin, Sujee Lee","submitted_at":"2026-08-11T04:50:33Z","abstract_excerpt":"Large language models (LLMs) are widely applied across chemical tasks, such as molecular property prediction, which underpins drug discovery. Molecular LLMs represent a molecule through several modalities, notably a 1D SMILES sequence or a 2D molecular graph. Both encode molecular information implicitly, so the contribution of individual substructures remains opaque. Retrieval and augmentation methods add context, but from external sources. However, the cues chemists reason over are the internal substructures that drive a property up or down. We propose MR-MoL, a multi-granular rationale-guide"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10480","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/2608.10480/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":"2026-08-12T01:22:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c8KAeqnuN0mzlB2aEdtqrlYihj5tjMHoXOgCQbgnQVe76LvuVXpyZ4ev4fxBV7rxXe+1eXnQBdDqiiyIcdXCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:20:46.975271Z"},"content_sha256":"bcf945b77baf22d6334b8df47293a3f715fbdb97cd287893d4a2c2c5188e3107","schema_version":"1.0","event_id":"sha256:bcf945b77baf22d6334b8df47293a3f715fbdb97cd287893d4a2c2c5188e3107"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OZSVKF4KH62ZMISABUX3OLTDY3/bundle.json","state_url":"https://pith.science/pith/OZSVKF4KH62ZMISABUX3OLTDY3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OZSVKF4KH62ZMISABUX3OLTDY3/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":"2026-08-19T15:20:46Z","links":{"resolver":"https://pith.science/pith/OZSVKF4KH62ZMISABUX3OLTDY3","bundle":"https://pith.science/pith/OZSVKF4KH62ZMISABUX3OLTDY3/bundle.json","state":"https://pith.science/pith/OZSVKF4KH62ZMISABUX3OLTDY3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OZSVKF4KH62ZMISABUX3OLTDY3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OZSVKF4KH62ZMISABUX3OLTDY3","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":"18af778cc82a232c173a7e95afb65a64e06ec96a3c8db24edb33cc67ee56a3da","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-11T04:50:33Z","title_canon_sha256":"f0cdd939221c57e89d519cc0e94db97e75ba23052f1876998a02d0b76f08854f"},"schema_version":"1.0","source":{"id":"2608.10480","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10480","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10480v1","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10480","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"pith_short_12","alias_value":"OZSVKF4KH62Z","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"pith_short_16","alias_value":"OZSVKF4KH62ZMISA","created_at":"2026-08-12T01:22:34Z"},{"alias_kind":"pith_short_8","alias_value":"OZSVKF4K","created_at":"2026-08-12T01:22:34Z"}],"graph_snapshots":[{"event_id":"sha256:bcf945b77baf22d6334b8df47293a3f715fbdb97cd287893d4a2c2c5188e3107","target":"graph","created_at":"2026-08-12T01:22:34Z","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/2608.10480/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are widely applied across chemical tasks, such as molecular property prediction, which underpins drug discovery. Molecular LLMs represent a molecule through several modalities, notably a 1D SMILES sequence or a 2D molecular graph. Both encode molecular information implicitly, so the contribution of individual substructures remains opaque. Retrieval and augmentation methods add context, but from external sources. However, the cues chemists reason over are the internal substructures that drive a property up or down. We propose MR-MoL, a multi-granular rationale-guide","authors_text":"Cheol Soon Lee, Junwoo Park, Minyoung Shin, Sujee Lee","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-11T04:50:33Z","title":"Multi-Granular Rationale-Guided Molecular LLM for Property Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10480","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:df283652a78d86b9ba68849eac731609a23b505eb47d89c6007620a3af8fd3a0","target":"record","created_at":"2026-08-12T01:22:34Z","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":"18af778cc82a232c173a7e95afb65a64e06ec96a3c8db24edb33cc67ee56a3da","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-11T04:50:33Z","title_canon_sha256":"f0cdd939221c57e89d519cc0e94db97e75ba23052f1876998a02d0b76f08854f"},"schema_version":"1.0","source":{"id":"2608.10480","kind":"arxiv","version":1}},"canonical_sha256":"766555178a3fb59622400d2fb72e63c6c9d8c74767b2a7970071980e65e4ddbd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"766555178a3fb59622400d2fb72e63c6c9d8c74767b2a7970071980e65e4ddbd","first_computed_at":"2026-08-12T01:22:34.354564Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-12T01:22:34.354564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2AmMarICIqcB690BPMfd8HnbK+mL1sM+krOdmsHt89aGytzXaemVvyWj+g3zdo6Z75HtnF6uu5FFqltmTAGBBg==","signature_status":"signed_v1","signed_at":"2026-08-12T01:22:34.356231Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.10480","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df283652a78d86b9ba68849eac731609a23b505eb47d89c6007620a3af8fd3a0","sha256:bcf945b77baf22d6334b8df47293a3f715fbdb97cd287893d4a2c2c5188e3107"],"state_sha256":"5fde477b3bb0c9a768c21cc4df959e561a3f1f1cae3c59f1f0ddd18a6a5c26a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8FeOAJ5X6Q1IYXdd9M2rJZ68i/0umvF8/S3cxSiNZSa1QAZce3pixs/dR3Jz9NmzP+mZFe+v9dtAGOnLE/taDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T15:20:46.979593Z","bundle_sha256":"e091d7401d7349922869e53598ba1af94f098c1d3a9df2e53cb958fcc269f86c"}}