{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:M62U253BZBUQU2MSVHFABP7472","short_pith_number":"pith:M62U253B","canonical_record":{"source":{"id":"2505.00290","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-01T04:26:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"be3ca11641c9e06d8e68ddb375b51de5e61e96a1622c8fdf090a45244767adf5","abstract_canon_sha256":"2976113c2634c403fda5e90e7f13021deac33d58339537c89d8508b8e3d3c1b0"},"schema_version":"1.0"},"canonical_sha256":"67b54d7761c8690a6992a9ca00bffcfebe58108ce6fb752122fdce04347dcf22","source":{"kind":"arxiv","id":"2505.00290","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00290","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00290v1","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00290","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"pith_short_12","alias_value":"M62U253BZBUQ","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"pith_short_16","alias_value":"M62U253BZBUQU2MS","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"pith_short_8","alias_value":"M62U253B","created_at":"2026-07-05T10:57:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:M62U253BZBUQU2MSVHFABP7472","target":"record","payload":{"canonical_record":{"source":{"id":"2505.00290","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-01T04:26:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"be3ca11641c9e06d8e68ddb375b51de5e61e96a1622c8fdf090a45244767adf5","abstract_canon_sha256":"2976113c2634c403fda5e90e7f13021deac33d58339537c89d8508b8e3d3c1b0"},"schema_version":"1.0"},"canonical_sha256":"67b54d7761c8690a6992a9ca00bffcfebe58108ce6fb752122fdce04347dcf22","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:11.043741Z","signature_b64":"v248vkUKYgbQX2eOrHbkJw88t+4StS1vEZMIgOyUGamKifZLhUibpzgs5I5PpZa5sQxEaqUHzxocVU5TXmHZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67b54d7761c8690a6992a9ca00bffcfebe58108ce6fb752122fdce04347dcf22","last_reissued_at":"2026-07-05T10:57:11.043244Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:11.043244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.00290","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":"2026-07-05T10:57:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bMf2XMs9aMUcevBusUZcOQ+RYoOXFrBWT90E5SNfKSzCVM+EU1+IbSHVH56cc6WHWHPguu1ByzDtTuSlTgacCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:27:56.401092Z"},"content_sha256":"2b1486ce2f06600c08bfe4918c5f2e76131e6b92e1ded72eb2fac8a5986cb8cb","schema_version":"1.0","event_id":"sha256:2b1486ce2f06600c08bfe4918c5f2e76131e6b92e1ded72eb2fac8a5986cb8cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:M62U253BZBUQU2MSVHFABP7472","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Fan Fu Xue, Hong Xin Xie, Jian De Sun, Qi Chen, Shan Shan Feng, Zi Fei Han","submitted_at":"2025-05-01T04:26:31Z","abstract_excerpt":"Molecular odor prediction is the process of using a molecule's structure to predict its smell. While accurate prediction remains challenging, AI models can suggest potential odors. Existing methods, however, often rely on basic descriptors or handcrafted fingerprints, which lack expressive power and hinder effective learning. Furthermore, these methods suffer from severe class imbalance, limiting the training effectiveness of AI models. To address these challenges, we propose a Feature Contribution-driven Hierarchical Multi-Feature Mapping Network (HMFNet). Specifically, we introduce a fine-gr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00290","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/2505.00290/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":"2026-07-05T10:57:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2IxW7DsjeqVyPHd8THdbUhlS3YPLhBklA2WGStbPlspK2cy8vb552uSKVnst/0x4pWYNvsC74uv+tPpqEStDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:27:56.401441Z"},"content_sha256":"1d06394d89f3fa4d4d9df4fa0d320f5d857775ea02e9c7101ecfd266192c04c4","schema_version":"1.0","event_id":"sha256:1d06394d89f3fa4d4d9df4fa0d320f5d857775ea02e9c7101ecfd266192c04c4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M62U253BZBUQU2MSVHFABP7472/bundle.json","state_url":"https://pith.science/pith/M62U253BZBUQU2MSVHFABP7472/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M62U253BZBUQU2MSVHFABP7472/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":"2026-08-21T03:27:56Z","links":{"resolver":"https://pith.science/pith/M62U253BZBUQU2MSVHFABP7472","bundle":"https://pith.science/pith/M62U253BZBUQU2MSVHFABP7472/bundle.json","state":"https://pith.science/pith/M62U253BZBUQU2MSVHFABP7472/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M62U253BZBUQU2MSVHFABP7472/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:M62U253BZBUQU2MSVHFABP7472","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":"2976113c2634c403fda5e90e7f13021deac33d58339537c89d8508b8e3d3c1b0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-01T04:26:31Z","title_canon_sha256":"be3ca11641c9e06d8e68ddb375b51de5e61e96a1622c8fdf090a45244767adf5"},"schema_version":"1.0","source":{"id":"2505.00290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00290","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00290v1","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00290","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"pith_short_12","alias_value":"M62U253BZBUQ","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"pith_short_16","alias_value":"M62U253BZBUQU2MS","created_at":"2026-07-05T10:57:11Z"},{"alias_kind":"pith_short_8","alias_value":"M62U253B","created_at":"2026-07-05T10:57:11Z"}],"graph_snapshots":[{"event_id":"sha256:1d06394d89f3fa4d4d9df4fa0d320f5d857775ea02e9c7101ecfd266192c04c4","target":"graph","created_at":"2026-07-05T10:57:11Z","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/2505.00290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Molecular odor prediction is the process of using a molecule's structure to predict its smell. While accurate prediction remains challenging, AI models can suggest potential odors. Existing methods, however, often rely on basic descriptors or handcrafted fingerprints, which lack expressive power and hinder effective learning. Furthermore, these methods suffer from severe class imbalance, limiting the training effectiveness of AI models. To address these challenges, we propose a Feature Contribution-driven Hierarchical Multi-Feature Mapping Network (HMFNet). Specifically, we introduce a fine-gr","authors_text":"Fan Fu Xue, Hong Xin Xie, Jian De Sun, Qi Chen, Shan Shan Feng, Zi Fei Han","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-01T04:26:31Z","title":"Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00290","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":"sha256:2b1486ce2f06600c08bfe4918c5f2e76131e6b92e1ded72eb2fac8a5986cb8cb","target":"record","created_at":"2026-07-05T10:57:11Z","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":"2976113c2634c403fda5e90e7f13021deac33d58339537c89d8508b8e3d3c1b0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-01T04:26:31Z","title_canon_sha256":"be3ca11641c9e06d8e68ddb375b51de5e61e96a1622c8fdf090a45244767adf5"},"schema_version":"1.0","source":{"id":"2505.00290","kind":"arxiv","version":1}},"canonical_sha256":"67b54d7761c8690a6992a9ca00bffcfebe58108ce6fb752122fdce04347dcf22","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67b54d7761c8690a6992a9ca00bffcfebe58108ce6fb752122fdce04347dcf22","first_computed_at":"2026-07-05T10:57:11.043244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:11.043244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v248vkUKYgbQX2eOrHbkJw88t+4StS1vEZMIgOyUGamKifZLhUibpzgs5I5PpZa5sQxEaqUHzxocVU5TXmHZDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:11.043741Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b1486ce2f06600c08bfe4918c5f2e76131e6b92e1ded72eb2fac8a5986cb8cb","sha256:1d06394d89f3fa4d4d9df4fa0d320f5d857775ea02e9c7101ecfd266192c04c4"],"state_sha256":"233a9405735cdf6ad56fb956328461f68175993026038774f3fb8d1933055a20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"csfDXCELgWJZHx5dHFXTR9yo2rcxnTOPDR9PGDi1tILcwn3QOROOtw4OEtNUWuGjE8CAwAe6V6l/nzgFwg48Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:27:56.405386Z","bundle_sha256":"6f0cd6daf7d0cab1765eba4fddee538401ae137a0977a48da2ae04a6f202352f"}}