{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DP6WSNYSFKXRTSR6PYMET73IPC","short_pith_number":"pith:DP6WSNYS","canonical_record":{"source":{"id":"2307.06235","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-12T15:27:06Z","cross_cats_sorted":["q-bio.BM"],"title_canon_sha256":"1831dd47d8695662933a905728ef1fba1a88200d3618a1b95aa781f6a4fe57e8","abstract_canon_sha256":"b9f24a2c05cf599cb2715e4fc4b5f6054684dcf7c0df2e237dc6d7e0fae657e6"},"schema_version":"1.0"},"canonical_sha256":"1bfd6937122aaf19ca3e7e1849ff6878b7e5012244e8212413c0092e8987c519","source":{"kind":"arxiv","id":"2307.06235","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.06235","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"arxiv_version","alias_value":"2307.06235v2","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.06235","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"pith_short_12","alias_value":"DP6WSNYSFKXR","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"pith_short_16","alias_value":"DP6WSNYSFKXRTSR6","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"pith_short_8","alias_value":"DP6WSNYS","created_at":"2026-07-05T06:58:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DP6WSNYSFKXRTSR6PYMET73IPC","target":"record","payload":{"canonical_record":{"source":{"id":"2307.06235","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-12T15:27:06Z","cross_cats_sorted":["q-bio.BM"],"title_canon_sha256":"1831dd47d8695662933a905728ef1fba1a88200d3618a1b95aa781f6a4fe57e8","abstract_canon_sha256":"b9f24a2c05cf599cb2715e4fc4b5f6054684dcf7c0df2e237dc6d7e0fae657e6"},"schema_version":"1.0"},"canonical_sha256":"1bfd6937122aaf19ca3e7e1849ff6878b7e5012244e8212413c0092e8987c519","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:58:11.743948Z","signature_b64":"bPSjrjVIUsrX5X/ihzBAr/Kixjg7/4iH55w82JSKKJ8qWjUoW9Ywvy0+9uM+fFucgjSLUYzz0pjn9ew6TyFiAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bfd6937122aaf19ca3e7e1849ff6878b7e5012244e8212413c0092e8987c519","last_reissued_at":"2026-07-05T06:58:11.743411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:58:11.743411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.06235","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":"2026-07-05T06:58:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vJZtgE7bo7csMmq/jk6KagVY9++95Ol+hoHVw94hTUf2PvrZ6AZHHLMrqDg91Mcq+nMCN5q2x2KPSdMo/BW/Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T08:34:51.396019Z"},"content_sha256":"d4d088a27247477811bcdc43db79740f52b2224e20e060001c324a728475e713","schema_version":"1.0","event_id":"sha256:d4d088a27247477811bcdc43db79740f52b2224e20e060001c324a728475e713"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DP6WSNYSFKXRTSR6PYMET73IPC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal Molecular Pretraining via Modality Blending","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.BM"],"primary_cat":"cs.LG","authors_text":"Hao Zhou, Jingjing Liu, Qiying Yu, Shikun Feng, Yanyan Lan, Yudi Zhang, Yuyan Ni","submitted_at":"2023-07-12T15:27:06Z","abstract_excerpt":"Self-supervised learning has recently gained growing interest in molecular modeling for scientific tasks such as AI-assisted drug discovery. Current studies consider leveraging both 2D and 3D molecular structures for representation learning. However, relying on straightforward alignment strategies that treat each modality separately, these methods fail to exploit the intrinsic correlation between 2D and 3D representations that reflect the underlying structural characteristics of molecules, and only perform coarse-grained molecule-level alignment. To derive fine-grained alignment and promote st"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.06235","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/2307.06235/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":"2026-07-05T06:58:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x9s4umKf9XtRfSXnjBrUuPqkC5jteksjarFCKrBRtNL9mPtrEskqe0YRwdfdH/OQXmTZUyB9wbuFP64PBs8yBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T08:34:51.396403Z"},"content_sha256":"f87be8b50c39518d7a3176c0b468087bce503809a754fc75950d5a01295b5fe8","schema_version":"1.0","event_id":"sha256:f87be8b50c39518d7a3176c0b468087bce503809a754fc75950d5a01295b5fe8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DP6WSNYSFKXRTSR6PYMET73IPC/bundle.json","state_url":"https://pith.science/pith/DP6WSNYSFKXRTSR6PYMET73IPC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DP6WSNYSFKXRTSR6PYMET73IPC/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":"2026-07-10T08:34:51Z","links":{"resolver":"https://pith.science/pith/DP6WSNYSFKXRTSR6PYMET73IPC","bundle":"https://pith.science/pith/DP6WSNYSFKXRTSR6PYMET73IPC/bundle.json","state":"https://pith.science/pith/DP6WSNYSFKXRTSR6PYMET73IPC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DP6WSNYSFKXRTSR6PYMET73IPC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DP6WSNYSFKXRTSR6PYMET73IPC","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":"b9f24a2c05cf599cb2715e4fc4b5f6054684dcf7c0df2e237dc6d7e0fae657e6","cross_cats_sorted":["q-bio.BM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-12T15:27:06Z","title_canon_sha256":"1831dd47d8695662933a905728ef1fba1a88200d3618a1b95aa781f6a4fe57e8"},"schema_version":"1.0","source":{"id":"2307.06235","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.06235","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"arxiv_version","alias_value":"2307.06235v2","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.06235","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"pith_short_12","alias_value":"DP6WSNYSFKXR","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"pith_short_16","alias_value":"DP6WSNYSFKXRTSR6","created_at":"2026-07-05T06:58:11Z"},{"alias_kind":"pith_short_8","alias_value":"DP6WSNYS","created_at":"2026-07-05T06:58:11Z"}],"graph_snapshots":[{"event_id":"sha256:f87be8b50c39518d7a3176c0b468087bce503809a754fc75950d5a01295b5fe8","target":"graph","created_at":"2026-07-05T06:58:11Z","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/2307.06235/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning has recently gained growing interest in molecular modeling for scientific tasks such as AI-assisted drug discovery. Current studies consider leveraging both 2D and 3D molecular structures for representation learning. However, relying on straightforward alignment strategies that treat each modality separately, these methods fail to exploit the intrinsic correlation between 2D and 3D representations that reflect the underlying structural characteristics of molecules, and only perform coarse-grained molecule-level alignment. To derive fine-grained alignment and promote st","authors_text":"Hao Zhou, Jingjing Liu, Qiying Yu, Shikun Feng, Yanyan Lan, Yudi Zhang, Yuyan Ni","cross_cats":["q-bio.BM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-12T15:27:06Z","title":"Multimodal Molecular Pretraining via Modality Blending"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.06235","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:d4d088a27247477811bcdc43db79740f52b2224e20e060001c324a728475e713","target":"record","created_at":"2026-07-05T06:58:11Z","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":"b9f24a2c05cf599cb2715e4fc4b5f6054684dcf7c0df2e237dc6d7e0fae657e6","cross_cats_sorted":["q-bio.BM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-12T15:27:06Z","title_canon_sha256":"1831dd47d8695662933a905728ef1fba1a88200d3618a1b95aa781f6a4fe57e8"},"schema_version":"1.0","source":{"id":"2307.06235","kind":"arxiv","version":2}},"canonical_sha256":"1bfd6937122aaf19ca3e7e1849ff6878b7e5012244e8212413c0092e8987c519","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bfd6937122aaf19ca3e7e1849ff6878b7e5012244e8212413c0092e8987c519","first_computed_at":"2026-07-05T06:58:11.743411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:58:11.743411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bPSjrjVIUsrX5X/ihzBAr/Kixjg7/4iH55w82JSKKJ8qWjUoW9Ywvy0+9uM+fFucgjSLUYzz0pjn9ew6TyFiAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:58:11.743948Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.06235","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4d088a27247477811bcdc43db79740f52b2224e20e060001c324a728475e713","sha256:f87be8b50c39518d7a3176c0b468087bce503809a754fc75950d5a01295b5fe8"],"state_sha256":"7ea00c149bc29d49c1fce663bbcfa31972c26b4bdab50b54c8965002dabb6415"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6RymTO7jIuwwzvpej4O73nCZ/SEjTTh81ecjCr7RxVnSvnG0+4+Ugj1ssFK6svEqoFNX8GojLF41fursdM36Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T08:34:51.398387Z","bundle_sha256":"cfe4d0194f0d89bfa015590794d7c5fa16a61387c3367f0735ee7bcd39b6847f"}}