{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PSDZVHTCMXJOCOCKX3EG6TPVZ3","short_pith_number":"pith:PSDZVHTC","canonical_record":{"source":{"id":"2607.25366","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-28T07:17:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aa2d58d3c930b93e470b7d65d949e22e5f286afd9c982104b074be2522e8d6d0","abstract_canon_sha256":"b449442c70ca0e03cf72981f299adfce4d88e48e20bbc54440a6b7bcd41d2cc8"},"schema_version":"1.0"},"canonical_sha256":"7c879a9e6265d2e1384abec86f4df5cec23efd6a23bb0ca3893035294ec16dc0","source":{"kind":"arxiv","id":"2607.25366","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25366","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25366v1","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25366","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"pith_short_12","alias_value":"PSDZVHTCMXJO","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"pith_short_16","alias_value":"PSDZVHTCMXJOCOCK","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"pith_short_8","alias_value":"PSDZVHTC","created_at":"2026-07-29T01:25:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PSDZVHTCMXJOCOCKX3EG6TPVZ3","target":"record","payload":{"canonical_record":{"source":{"id":"2607.25366","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-28T07:17:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aa2d58d3c930b93e470b7d65d949e22e5f286afd9c982104b074be2522e8d6d0","abstract_canon_sha256":"b449442c70ca0e03cf72981f299adfce4d88e48e20bbc54440a6b7bcd41d2cc8"},"schema_version":"1.0"},"canonical_sha256":"7c879a9e6265d2e1384abec86f4df5cec23efd6a23bb0ca3893035294ec16dc0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:11.803836Z","signature_b64":"v6j4nk+YbJa+wX94fScDaSxZPv1OjB/d5MZ5O7UM2yPCtE0he+gre6U+9ReGL5aiwIq06C5azbjrZHGhYIufAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c879a9e6265d2e1384abec86f4df5cec23efd6a23bb0ca3893035294ec16dc0","last_reissued_at":"2026-07-29T01:25:11.802971Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:11.802971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.25366","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":"2026-07-29T01:25:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y4zoYf0CDcBg+msmm3LabtJCGkvJBnlcmejsV5UxHbjxorvWZ/+qlclojgVQ+CNo5IMogFQTGIGLMGP6o7PMCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:58:56.206840Z"},"content_sha256":"e6f3981d522e20ba6e7ea7f99ed5a5eb874be99cdfb3ca3208d4fcffc35254e4","schema_version":"1.0","event_id":"sha256:e6f3981d522e20ba6e7ea7f99ed5a5eb874be99cdfb3ca3208d4fcffc35254e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PSDZVHTCMXJOCOCKX3EG6TPVZ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Chaochao Chen, Huwei Ji, Jiajie Su, Xiaohua Feng, Yuyuan Li","submitted_at":"2026-07-28T07:17:44Z","abstract_excerpt":"LLM-based Cross-Domain Sequential Recommendation (CDSR) leverages LLMs to enhance target performance via deep semantic reasoning, alleviating the dependency on overlapping users. Among LLM-based paradigms, model merging is particularly promising for multi-domain scenarios due to its superior scalability and flexibility in integrating diverse knowledge sources. However, our empirical investigations reveal two critical bottlenecks: (1) cross-domain knowledge conflict; and (2) performance saturation in multi-domain fusion. Our analysis attributes these phenomena to parameter-level misalignment an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25366","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/2607.25366/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":"2026-07-29T01:25:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RLwdSuOHUDaS4zUpyJkhXe71V6RNNIkNQou5TFL1mhDPhfFwFVC9BSFbV/yP/XfTGJAxF2U34q3b8/JW6HptDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:58:56.207338Z"},"content_sha256":"72a99ff2135fb5713e0c13ef0cce355ec97e5203fd5dbc3f64f1992c28c1ca64","schema_version":"1.0","event_id":"sha256:72a99ff2135fb5713e0c13ef0cce355ec97e5203fd5dbc3f64f1992c28c1ca64"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3/bundle.json","state_url":"https://pith.science/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3/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":"2026-08-03T20:58:56Z","links":{"resolver":"https://pith.science/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3","bundle":"https://pith.science/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3/bundle.json","state":"https://pith.science/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PSDZVHTCMXJOCOCKX3EG6TPVZ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PSDZVHTCMXJOCOCKX3EG6TPVZ3","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":"b449442c70ca0e03cf72981f299adfce4d88e48e20bbc54440a6b7bcd41d2cc8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-28T07:17:44Z","title_canon_sha256":"aa2d58d3c930b93e470b7d65d949e22e5f286afd9c982104b074be2522e8d6d0"},"schema_version":"1.0","source":{"id":"2607.25366","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25366","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25366v1","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25366","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"pith_short_12","alias_value":"PSDZVHTCMXJO","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"pith_short_16","alias_value":"PSDZVHTCMXJOCOCK","created_at":"2026-07-29T01:25:11Z"},{"alias_kind":"pith_short_8","alias_value":"PSDZVHTC","created_at":"2026-07-29T01:25:11Z"}],"graph_snapshots":[{"event_id":"sha256:72a99ff2135fb5713e0c13ef0cce355ec97e5203fd5dbc3f64f1992c28c1ca64","target":"graph","created_at":"2026-07-29T01:25:11Z","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/2607.25366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"LLM-based Cross-Domain Sequential Recommendation (CDSR) leverages LLMs to enhance target performance via deep semantic reasoning, alleviating the dependency on overlapping users. Among LLM-based paradigms, model merging is particularly promising for multi-domain scenarios due to its superior scalability and flexibility in integrating diverse knowledge sources. However, our empirical investigations reveal two critical bottlenecks: (1) cross-domain knowledge conflict; and (2) performance saturation in multi-domain fusion. Our analysis attributes these phenomena to parameter-level misalignment an","authors_text":"Chaochao Chen, Huwei Ji, Jiajie Su, Xiaohua Feng, Yuyuan Li","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-28T07:17:44Z","title":"Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25366","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:e6f3981d522e20ba6e7ea7f99ed5a5eb874be99cdfb3ca3208d4fcffc35254e4","target":"record","created_at":"2026-07-29T01:25:11Z","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":"b449442c70ca0e03cf72981f299adfce4d88e48e20bbc54440a6b7bcd41d2cc8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-28T07:17:44Z","title_canon_sha256":"aa2d58d3c930b93e470b7d65d949e22e5f286afd9c982104b074be2522e8d6d0"},"schema_version":"1.0","source":{"id":"2607.25366","kind":"arxiv","version":1}},"canonical_sha256":"7c879a9e6265d2e1384abec86f4df5cec23efd6a23bb0ca3893035294ec16dc0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c879a9e6265d2e1384abec86f4df5cec23efd6a23bb0ca3893035294ec16dc0","first_computed_at":"2026-07-29T01:25:11.802971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:25:11.802971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v6j4nk+YbJa+wX94fScDaSxZPv1OjB/d5MZ5O7UM2yPCtE0he+gre6U+9ReGL5aiwIq06C5azbjrZHGhYIufAw==","signature_status":"signed_v1","signed_at":"2026-07-29T01:25:11.803836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25366","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6f3981d522e20ba6e7ea7f99ed5a5eb874be99cdfb3ca3208d4fcffc35254e4","sha256:72a99ff2135fb5713e0c13ef0cce355ec97e5203fd5dbc3f64f1992c28c1ca64"],"state_sha256":"c8e1c09d5e605796afbe778582439c9d24bc34e62c1cbc26e4a310d556330652"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fhg16dJ2yXTelS7rzmbd3wI4RrxzqguQHVSByVOyIDi1TFM1wEIx5L5ka9Sczn8An80u9G7HNqh7gPajh3+BCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:58:56.212596Z","bundle_sha256":"d8461515abfc454a354b159f15e95f91ba05e6d09c65f4fc6190e56b8eba7b39"}}