{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:35NKPOAZGKLPYVPXRY5LIKPKBW","short_pith_number":"pith:35NKPOAZ","canonical_record":{"source":{"id":"2406.17697","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T16:33:33Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"da53a2c2f20e7ba97a4131e517762ff776d7986e31c17b33561d185be5727abe","abstract_canon_sha256":"20685ac0f097447f1737b809153ee65c65aad01b9d4196b28c30014e804f65fb"},"schema_version":"1.0"},"canonical_sha256":"df5aa7b8193296fc55f78e3ab429ea0d9c2269d59189fe5cf199acb532bdb73a","source":{"kind":"arxiv","id":"2406.17697","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17697","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17697v1","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17697","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"pith_short_12","alias_value":"35NKPOAZGKLP","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"pith_short_16","alias_value":"35NKPOAZGKLPYVPX","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"pith_short_8","alias_value":"35NKPOAZ","created_at":"2026-07-05T08:36:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:35NKPOAZGKLPYVPXRY5LIKPKBW","target":"record","payload":{"canonical_record":{"source":{"id":"2406.17697","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T16:33:33Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"da53a2c2f20e7ba97a4131e517762ff776d7986e31c17b33561d185be5727abe","abstract_canon_sha256":"20685ac0f097447f1737b809153ee65c65aad01b9d4196b28c30014e804f65fb"},"schema_version":"1.0"},"canonical_sha256":"df5aa7b8193296fc55f78e3ab429ea0d9c2269d59189fe5cf199acb532bdb73a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:36:38.842738Z","signature_b64":"9SPMtzEfvPxSuuUxTnHSD5wJPco3MpKGGB/CTufuJz6gl8zMFjSIdPfsVxxocwDvrNkdytATcjp+nMfe3M/PDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df5aa7b8193296fc55f78e3ab429ea0d9c2269d59189fe5cf199acb532bdb73a","last_reissued_at":"2026-07-05T08:36:38.842250Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:36:38.842250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.17697","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":"2026-07-05T08:36:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xqZknlwieFOwhzTzxUIj7s/sJ0xLIgzDgaEX3VmVpflZWiNCKYuLfdHaEG3/zrVW58wYFiEE8PrCIScWvgDCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:07:52.141143Z"},"content_sha256":"855593f3d5820c6751cfa6a20fbb45e880dbe65837e2ca19e995a9ee88d1961f","schema_version":"1.0","event_id":"sha256:855593f3d5820c6751cfa6a20fbb45e880dbe65837e2ca19e995a9ee88d1961f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:35NKPOAZGKLPYVPXRY5LIKPKBW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Gaofei Chen, Jiacheng Xie, Lijing Zhu, Min Xu, Tianyang Wang, Wentao Wang, Xi Xiao, Zhengji Li","submitted_at":"2024-06-25T16:33:33Z","abstract_excerpt":"Drug target binding affinity (DTA) is a key criterion for drug screening. Existing experimental methods are time-consuming and rely on limited structural and domain information. While learning-based methods can model sequence and structural information, they struggle to integrate contextual data and often lack comprehensive modeling of drug-target interactions. In this study, we propose a novel DTA prediction method, termed HGTDP-DTA, which utilizes dynamic prompts within a hybrid Graph-Transformer framework. Our method generates context-specific prompts for each drug-target pair, enhancing th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17697","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/2406.17697/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":"2026-07-05T08:36:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BXAWJftHd0W3T7r/2ZDRzgUSF4m2JuHOP3//4BpvO1erq+bszbocmN8OYNLNH02xjoIZWb6Wmh/5HS7unttsCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:07:52.141540Z"},"content_sha256":"538bc8a49d2aeb55886dfa3c392e5e7d5a011ae5d0e103ec45ea6fd4cdf06414","schema_version":"1.0","event_id":"sha256:538bc8a49d2aeb55886dfa3c392e5e7d5a011ae5d0e103ec45ea6fd4cdf06414"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/35NKPOAZGKLPYVPXRY5LIKPKBW/bundle.json","state_url":"https://pith.science/pith/35NKPOAZGKLPYVPXRY5LIKPKBW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/35NKPOAZGKLPYVPXRY5LIKPKBW/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":"2026-07-07T11:07:52Z","links":{"resolver":"https://pith.science/pith/35NKPOAZGKLPYVPXRY5LIKPKBW","bundle":"https://pith.science/pith/35NKPOAZGKLPYVPXRY5LIKPKBW/bundle.json","state":"https://pith.science/pith/35NKPOAZGKLPYVPXRY5LIKPKBW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/35NKPOAZGKLPYVPXRY5LIKPKBW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:35NKPOAZGKLPYVPXRY5LIKPKBW","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":"20685ac0f097447f1737b809153ee65c65aad01b9d4196b28c30014e804f65fb","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T16:33:33Z","title_canon_sha256":"da53a2c2f20e7ba97a4131e517762ff776d7986e31c17b33561d185be5727abe"},"schema_version":"1.0","source":{"id":"2406.17697","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17697","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17697v1","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17697","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"pith_short_12","alias_value":"35NKPOAZGKLP","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"pith_short_16","alias_value":"35NKPOAZGKLPYVPX","created_at":"2026-07-05T08:36:38Z"},{"alias_kind":"pith_short_8","alias_value":"35NKPOAZ","created_at":"2026-07-05T08:36:38Z"}],"graph_snapshots":[{"event_id":"sha256:538bc8a49d2aeb55886dfa3c392e5e7d5a011ae5d0e103ec45ea6fd4cdf06414","target":"graph","created_at":"2026-07-05T08:36:38Z","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/2406.17697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Drug target binding affinity (DTA) is a key criterion for drug screening. Existing experimental methods are time-consuming and rely on limited structural and domain information. While learning-based methods can model sequence and structural information, they struggle to integrate contextual data and often lack comprehensive modeling of drug-target interactions. In this study, we propose a novel DTA prediction method, termed HGTDP-DTA, which utilizes dynamic prompts within a hybrid Graph-Transformer framework. Our method generates context-specific prompts for each drug-target pair, enhancing th","authors_text":"Gaofei Chen, Jiacheng Xie, Lijing Zhu, Min Xu, Tianyang Wang, Wentao Wang, Xi Xiao, Zhengji Li","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T16:33:33Z","title":"HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17697","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":"sha256:855593f3d5820c6751cfa6a20fbb45e880dbe65837e2ca19e995a9ee88d1961f","target":"record","created_at":"2026-07-05T08:36:38Z","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":"20685ac0f097447f1737b809153ee65c65aad01b9d4196b28c30014e804f65fb","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T16:33:33Z","title_canon_sha256":"da53a2c2f20e7ba97a4131e517762ff776d7986e31c17b33561d185be5727abe"},"schema_version":"1.0","source":{"id":"2406.17697","kind":"arxiv","version":1}},"canonical_sha256":"df5aa7b8193296fc55f78e3ab429ea0d9c2269d59189fe5cf199acb532bdb73a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df5aa7b8193296fc55f78e3ab429ea0d9c2269d59189fe5cf199acb532bdb73a","first_computed_at":"2026-07-05T08:36:38.842250Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:38.842250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9SPMtzEfvPxSuuUxTnHSD5wJPco3MpKGGB/CTufuJz6gl8zMFjSIdPfsVxxocwDvrNkdytATcjp+nMfe3M/PDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:38.842738Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17697","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:855593f3d5820c6751cfa6a20fbb45e880dbe65837e2ca19e995a9ee88d1961f","sha256:538bc8a49d2aeb55886dfa3c392e5e7d5a011ae5d0e103ec45ea6fd4cdf06414"],"state_sha256":"0ae94668165c766b0ace5c8d16bcf738a6987854ac51234122358bbaa0b142f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jADVITeUl6zAw2epcZE3KtAilfyzmYXGTieQ0JpV0z+xx5z79dyIt4sp3BZSVKhgHXmjgt3Y4xTsw0Dk47AmBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:07:52.143503Z","bundle_sha256":"befe4162b10ef8105dad18f0b4c98105be5dc38a79a68eea93437b1a7f65c420"}}