{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4C4S2KAHDCLYOX2KNAAD7CPDDW","short_pith_number":"pith:4C4S2KAH","canonical_record":{"source":{"id":"2505.19182","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-25T15:05:00Z","cross_cats_sorted":[],"title_canon_sha256":"602a3f5974af133160d8db85691ab7df5a491a14ffed48cf26b0e0454f2a5ccb","abstract_canon_sha256":"d979b37e2f6e374deb2324ffb66ee95f7a84e8244b406c3ae1575d889ab9ca9c"},"schema_version":"1.0"},"canonical_sha256":"e0b92d28071897875f4a68003f89e31db14dfbb24e064c86b9a496c49daa76cb","source":{"kind":"arxiv","id":"2505.19182","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19182","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19182v1","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19182","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"4C4S2KAHDCLY","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"4C4S2KAHDCLYOX2K","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"4C4S2KAH","created_at":"2026-07-05T11:09:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4C4S2KAHDCLYOX2KNAAD7CPDDW","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19182","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-25T15:05:00Z","cross_cats_sorted":[],"title_canon_sha256":"602a3f5974af133160d8db85691ab7df5a491a14ffed48cf26b0e0454f2a5ccb","abstract_canon_sha256":"d979b37e2f6e374deb2324ffb66ee95f7a84e8244b406c3ae1575d889ab9ca9c"},"schema_version":"1.0"},"canonical_sha256":"e0b92d28071897875f4a68003f89e31db14dfbb24e064c86b9a496c49daa76cb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:26.121271Z","signature_b64":"/Za3/RboPxijlcMN5JMiW99UlmttPdg5zxfBesPFsN4RlM5n9tCuixjhguyvbaWO/LFj+FsqqiAwD4KSK6qeDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0b92d28071897875f4a68003f89e31db14dfbb24e064c86b9a496c49daa76cb","last_reissued_at":"2026-07-05T11:09:26.120767Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:26.120767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19182","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":"2026-07-05T11:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S9Gvf24YKMdZEggWFxVLnudNb158qeua8GOvqKV0d6OZy645+efiIZvDFKyv5fwbr+kmvREgLNpywCuy5tJwDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:20:16.354141Z"},"content_sha256":"aad151b8725e16019d9c12491ff028240e24057021110bd725b56018c4510710","schema_version":"1.0","event_id":"sha256:aad151b8725e16019d9c12491ff028240e24057021110bd725b56018c4510710"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4C4S2KAHDCLYOX2KNAAD7CPDDW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Defu Lian, Enhong Chen, Hao Wang, Jianghao Lin, Kefan Wang, Wei Guo, Yong Liu","submitted_at":"2025-05-25T15:05:00Z","abstract_excerpt":"Click-through rate (CTR) prediction is a critical task in online advertising and recommender systems, relying on effective modeling of feature interactions. Explicit interactions capture predefined relationships, such as inner products, but often suffer from data sparsity, while implicit interactions excel at learning complex patterns through non-linear transformations but lack inductive biases for efficient low-order modeling. Existing two-stream architectures integrate these paradigms but face challenges such as limited information sharing, gradient imbalance, and difficulty preserving low-o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19182","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/2505.19182/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":"2026-07-05T11:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DlpdRZSeW76U/iG8MBdD83p3Q0/AnVeTFZy5b9wcATEeSIgYhmnMjeJEZzL+HBj6A96/GoUnQCk/xJ4NbMLoBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:20:16.354570Z"},"content_sha256":"590bb103c6c30d2e4e4c13c7ab90ab23932a6bad36706e4298d6b827334d8885","schema_version":"1.0","event_id":"sha256:590bb103c6c30d2e4e4c13c7ab90ab23932a6bad36706e4298d6b827334d8885"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW/bundle.json","state_url":"https://pith.science/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW/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":"2026-07-08T16:20:16Z","links":{"resolver":"https://pith.science/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW","bundle":"https://pith.science/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW/bundle.json","state":"https://pith.science/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4C4S2KAHDCLYOX2KNAAD7CPDDW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4C4S2KAHDCLYOX2KNAAD7CPDDW","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":"d979b37e2f6e374deb2324ffb66ee95f7a84e8244b406c3ae1575d889ab9ca9c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-25T15:05:00Z","title_canon_sha256":"602a3f5974af133160d8db85691ab7df5a491a14ffed48cf26b0e0454f2a5ccb"},"schema_version":"1.0","source":{"id":"2505.19182","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19182","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19182v1","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19182","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"4C4S2KAHDCLY","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"4C4S2KAHDCLYOX2K","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"4C4S2KAH","created_at":"2026-07-05T11:09:26Z"}],"graph_snapshots":[{"event_id":"sha256:590bb103c6c30d2e4e4c13c7ab90ab23932a6bad36706e4298d6b827334d8885","target":"graph","created_at":"2026-07-05T11:09:26Z","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/2505.19182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Click-through rate (CTR) prediction is a critical task in online advertising and recommender systems, relying on effective modeling of feature interactions. Explicit interactions capture predefined relationships, such as inner products, but often suffer from data sparsity, while implicit interactions excel at learning complex patterns through non-linear transformations but lack inductive biases for efficient low-order modeling. Existing two-stream architectures integrate these paradigms but face challenges such as limited information sharing, gradient imbalance, and difficulty preserving low-o","authors_text":"Defu Lian, Enhong Chen, Hao Wang, Jianghao Lin, Kefan Wang, Wei Guo, Yong Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-25T15:05:00Z","title":"DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19182","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:aad151b8725e16019d9c12491ff028240e24057021110bd725b56018c4510710","target":"record","created_at":"2026-07-05T11:09:26Z","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":"d979b37e2f6e374deb2324ffb66ee95f7a84e8244b406c3ae1575d889ab9ca9c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-25T15:05:00Z","title_canon_sha256":"602a3f5974af133160d8db85691ab7df5a491a14ffed48cf26b0e0454f2a5ccb"},"schema_version":"1.0","source":{"id":"2505.19182","kind":"arxiv","version":1}},"canonical_sha256":"e0b92d28071897875f4a68003f89e31db14dfbb24e064c86b9a496c49daa76cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0b92d28071897875f4a68003f89e31db14dfbb24e064c86b9a496c49daa76cb","first_computed_at":"2026-07-05T11:09:26.120767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:26.120767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/Za3/RboPxijlcMN5JMiW99UlmttPdg5zxfBesPFsN4RlM5n9tCuixjhguyvbaWO/LFj+FsqqiAwD4KSK6qeDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:26.121271Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19182","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aad151b8725e16019d9c12491ff028240e24057021110bd725b56018c4510710","sha256:590bb103c6c30d2e4e4c13c7ab90ab23932a6bad36706e4298d6b827334d8885"],"state_sha256":"4037208c38bf60661a3c4687cdc79d66ba469ad44e74974e2ea9104b04adf92f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5+FBQUK5xgDaP08whDincDJC1PaohjAYq0ivm66AOKJ+iCMGpKV8ttqRrqyO1Lsi6VpxgjMl8c3QhliyS13jCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T16:20:16.356568Z","bundle_sha256":"ff3f24d50725caff613da794e198706628fc7a43775589472931a2674f1ec0c0"}}