{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HBRWWQCCZM2THP6DGHLMOCNA77","short_pith_number":"pith:HBRWWQCC","canonical_record":{"source":{"id":"2607.27002","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-29T14:58:36Z","cross_cats_sorted":[],"title_canon_sha256":"41bf0bcc2238f4aff7c5cf58ff0feff7063ea9126090aee31b1495c96739aab7","abstract_canon_sha256":"7ac25a2a607729b5ae0bb32be620c181146a43b592657a789828d28de640cb38"},"schema_version":"1.0"},"canonical_sha256":"38636b4042cb3533bfc331d6c709a0fff6bb47202604dd52189bba9e8c32e0b2","source":{"kind":"arxiv","id":"2607.27002","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27002","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27002v1","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27002","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"pith_short_12","alias_value":"HBRWWQCCZM2T","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"pith_short_16","alias_value":"HBRWWQCCZM2THP6D","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"pith_short_8","alias_value":"HBRWWQCC","created_at":"2026-07-30T01:23:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HBRWWQCCZM2THP6DGHLMOCNA77","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27002","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-29T14:58:36Z","cross_cats_sorted":[],"title_canon_sha256":"41bf0bcc2238f4aff7c5cf58ff0feff7063ea9126090aee31b1495c96739aab7","abstract_canon_sha256":"7ac25a2a607729b5ae0bb32be620c181146a43b592657a789828d28de640cb38"},"schema_version":"1.0"},"canonical_sha256":"38636b4042cb3533bfc331d6c709a0fff6bb47202604dd52189bba9e8c32e0b2","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38636b4042cb3533bfc331d6c709a0fff6bb47202604dd52189bba9e8c32e0b2","last_reissued_at":"2026-07-30T01:23:18.356970Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:23:18.356970Z"},"source_kind":"arxiv","source_id":"2607.27002","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":"2026-07-30T01:23:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iRUyiKOKxa37cZjrwlSCNACR/jaZngm+lGJtQMxL4CmSJXjQqk8KSL4R/87PyDkiV/AXGREbcAXIlO7ZU/rIAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:14:20.280470Z"},"content_sha256":"92c068941817e03aeb8104d6d257036d4563d4f2ff277a7965d926298df1459a","schema_version":"1.0","event_id":"sha256:92c068941817e03aeb8104d6d257036d4563d4f2ff277a7965d926298df1459a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HBRWWQCCZM2THP6DGHLMOCNA77","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"(2) Zhengzhou University, (3) University of Science, Bin Wu (2), Can Wang (1), Jian Zhang (3), Jiawei Chen (1) ((1) Zhejiang University, Technology of China), Ye Feng (3), Yu Cui (1), Yuheng Zheng (1)","submitted_at":"2026-07-29T14:58:36Z","abstract_excerpt":"Recent advancements in Large Language Models (LLMs) have significantly enhanced sequential recommendation by encoding rich item textual information into semantic representations. However, existing methods typically rely on the final-layer hidden states of LLMs, overlooking potentially useful semantic signals encoded in other layers. Through empirical analysis, we reveal the limitations of this practice: final-layer representations often suffer from dimensional collapse, whereas intermediate layers preserve complementary, coarse-to-fine semantic knowledge. Furthermore, we observe that different"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27002","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/2607.27002/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":"2026-07-30T01:23:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+jKgHNu8dReddQrxJVN1xqzRgyQXmK4M4WDg8SnPJW4dhxhn/vdRd8q+HT0dxoyZdQ1A0bNxzoyr1maK7NVDBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:14:20.281045Z"},"content_sha256":"3932b765c1ddab8610da60b78b431daa0a30256196e52835f8c3d2dd50c0cf85","schema_version":"1.0","event_id":"sha256:3932b765c1ddab8610da60b78b431daa0a30256196e52835f8c3d2dd50c0cf85"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:HBRWWQCCZM2THP6DGHLMOCNA77","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2022.findings-emnlp.497) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Sishuo Chen, Xiaohan Bi, Rundong Gao, and Xu Sun. 2022. Holistic Sentence Em- beddings for Better Out-of-Distribution Detection. InFindings of the Association for Computational Linguistics: EMNLP. 6676–6686. doi:10.18653/v1/2022.findings- e","arxiv_id":"2607.27002","detector":"doi_compliance","evidence":{"ref_index":5,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2022.findings-","reconstructed_doi":"10.18653/v1/2022.findings-emnlp.497"},"severity":"advisory","ref_index":5,"audited_at":"2026-07-30T14:31:37.642523Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2022.findings-emnlp.497","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"c8ae8e48a830274da112a27f9dd468bcd8fac8b0529321390d29b5b196e5f631","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13947,"payload_sha256":"087e153e743565485c4d1c7e369a6d050079695a785c8a6eef751bd1ca257381","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T14:36:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NgQ1zl2f8gYbxkI6MeAvbhsvJjQ7H9ojTqz86NsX8t6bqxwt29+LPRnpeehivV2O3vTzfTNubL2iu8t/Wg/HDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:14:20.284703Z"},"content_sha256":"4e3c869e4bb11d11652d7d2c61794cd1ee3e3e936f4a2d002a94c81f0ae99069","schema_version":"1.0","event_id":"sha256:4e3c869e4bb11d11652d7d2c61794cd1ee3e3e936f4a2d002a94c81f0ae99069"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HBRWWQCCZM2THP6DGHLMOCNA77/bundle.json","state_url":"https://pith.science/pith/HBRWWQCCZM2THP6DGHLMOCNA77/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HBRWWQCCZM2THP6DGHLMOCNA77/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":"2026-08-08T13:14:20Z","links":{"resolver":"https://pith.science/pith/HBRWWQCCZM2THP6DGHLMOCNA77","bundle":"https://pith.science/pith/HBRWWQCCZM2THP6DGHLMOCNA77/bundle.json","state":"https://pith.science/pith/HBRWWQCCZM2THP6DGHLMOCNA77/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HBRWWQCCZM2THP6DGHLMOCNA77/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HBRWWQCCZM2THP6DGHLMOCNA77","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7ac25a2a607729b5ae0bb32be620c181146a43b592657a789828d28de640cb38","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-29T14:58:36Z","title_canon_sha256":"41bf0bcc2238f4aff7c5cf58ff0feff7063ea9126090aee31b1495c96739aab7"},"schema_version":"1.0","source":{"id":"2607.27002","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27002","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27002v1","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27002","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"pith_short_12","alias_value":"HBRWWQCCZM2T","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"pith_short_16","alias_value":"HBRWWQCCZM2THP6D","created_at":"2026-07-30T01:23:18Z"},{"alias_kind":"pith_short_8","alias_value":"HBRWWQCC","created_at":"2026-07-30T01:23:18Z"}],"graph_snapshots":[{"event_id":"sha256:3932b765c1ddab8610da60b78b431daa0a30256196e52835f8c3d2dd50c0cf85","target":"graph","created_at":"2026-07-30T01:23:18Z","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/2607.27002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in Large Language Models (LLMs) have significantly enhanced sequential recommendation by encoding rich item textual information into semantic representations. However, existing methods typically rely on the final-layer hidden states of LLMs, overlooking potentially useful semantic signals encoded in other layers. Through empirical analysis, we reveal the limitations of this practice: final-layer representations often suffer from dimensional collapse, whereas intermediate layers preserve complementary, coarse-to-fine semantic knowledge. Furthermore, we observe that different","authors_text":"(2) Zhengzhou University, (3) University of Science, Bin Wu (2), Can Wang (1), Jian Zhang (3), Jiawei Chen (1) ((1) Zhejiang University, Technology of China), Ye Feng (3), Yu Cui (1), Yuheng Zheng (1)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-29T14:58:36Z","title":"IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27002","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":"sha256:92c068941817e03aeb8104d6d257036d4563d4f2ff277a7965d926298df1459a","target":"record","created_at":"2026-07-30T01:23:18Z","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":"7ac25a2a607729b5ae0bb32be620c181146a43b592657a789828d28de640cb38","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-29T14:58:36Z","title_canon_sha256":"41bf0bcc2238f4aff7c5cf58ff0feff7063ea9126090aee31b1495c96739aab7"},"schema_version":"1.0","source":{"id":"2607.27002","kind":"arxiv","version":1}},"canonical_sha256":"38636b4042cb3533bfc331d6c709a0fff6bb47202604dd52189bba9e8c32e0b2","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38636b4042cb3533bfc331d6c709a0fff6bb47202604dd52189bba9e8c32e0b2","first_computed_at":"2026-07-30T01:23:18.356970Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:23:18.356970Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27002","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:92c068941817e03aeb8104d6d257036d4563d4f2ff277a7965d926298df1459a","sha256:3932b765c1ddab8610da60b78b431daa0a30256196e52835f8c3d2dd50c0cf85","sha256:4e3c869e4bb11d11652d7d2c61794cd1ee3e3e936f4a2d002a94c81f0ae99069"],"state_sha256":"ecfeb5aa25b8e63a696fef0ff2de292352903244c8c63e3fe98267a0f4263125"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HN2/eMgE/aZ1n3ONrHBejD7FW3uEWHPHV8d9O9TBAXBjUve+Z9STq5qVBSei4cfIoMb5UP42ZqBzscEB0V/uCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:14:20.286770Z","bundle_sha256":"aaeeb4a3c07fd30d79c54bf161528442d3f3bd01aba6e9a8a6989d7dcb868036"}}