{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SQOXRBKATWWGWI3YTIBVZ32BG6","short_pith_number":"pith:SQOXRBKA","canonical_record":{"source":{"id":"2608.01437","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T18:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"9ff019840217b7232f937e654123e15f24f57fcd3293b57311fc15bd300e7edb","abstract_canon_sha256":"49bed4797128a23c29d162c4d26b97abcc8f63dd4706b35f457874f4b6a3874a"},"schema_version":"1.0"},"canonical_sha256":"941d7885409dac6b23789a035cef4137919a1df1bc991f8f38bda62aa49be5c6","source":{"kind":"arxiv","id":"2608.01437","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01437","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01437v1","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01437","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"SQOXRBKATWWG","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"SQOXRBKATWWGWI3Y","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"SQOXRBKA","created_at":"2026-08-04T02:05:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SQOXRBKATWWGWI3YTIBVZ32BG6","target":"record","payload":{"canonical_record":{"source":{"id":"2608.01437","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T18:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"9ff019840217b7232f937e654123e15f24f57fcd3293b57311fc15bd300e7edb","abstract_canon_sha256":"49bed4797128a23c29d162c4d26b97abcc8f63dd4706b35f457874f4b6a3874a"},"schema_version":"1.0"},"canonical_sha256":"941d7885409dac6b23789a035cef4137919a1df1bc991f8f38bda62aa49be5c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:05:13.327049Z","signature_b64":"PCePI8o0hHvH2mZG92ugsv0eezG0/4NQXd73I+0SCrsIVFDTkIoONOywKWNIaqma7XgTqVFLq/XczmhdRxThBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"941d7885409dac6b23789a035cef4137919a1df1bc991f8f38bda62aa49be5c6","last_reissued_at":"2026-08-04T02:05:13.325475Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:05:13.325475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.01437","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":"2026-08-04T02:05:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zPXpIPu59MuhlvI4nzCDxdxGRdL0szNNYNjtYLrBQEiSJdeyAaaEGMyoeiC50SGzs/tWoY8W6flaaDBlJvqhCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:37:24.519821Z"},"content_sha256":"2ed52bbe7efbadfef3476f993687afaed68b47712a0609346f750e5b27bff302","schema_version":"1.0","event_id":"sha256:2ed52bbe7efbadfef3476f993687afaed68b47712a0609346f750e5b27bff302"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SQOXRBKATWWGWI3YTIBVZ32BG6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Continual Instruction Tuning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Baile Xu, Bogang Zhang, Dunwei Tu, Furao Shen, Huiyu Yi, Xu Zhiming, Yongqi Xu, Zhen-Hao Xie","submitted_at":"2026-08-02T18:42:16Z","abstract_excerpt":"Multimodal Continual Instruction Tuning (MCIT) enables multimodal large language models to acquire new tasks sequentially while retaining previously learned capabilities. Many recent methods maintain task-specific LoRA experts and route each input to one or more experts at inference. Yet the task-identification problem underlying expert routing remains under-explored. We show that routing is nearly saturated on widely used MCIT benchmarks. Textual fingerprints that leak task identity and short 4--10-task sequences with few competing experts jointly obscure the long-horizon routing problem. To "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01437","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/2608.01437/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":"2026-08-04T02:05:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lUXJYjaYPGpJp9mYFZ/Csh/2Aumxx6wZWjwUf6cWysdP4m9aX2v/hSQF9+UlHzyD5sXH1jyg+RWujCB6jD/KCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:37:24.520753Z"},"content_sha256":"08aedc39f64fc3b07b47d170586ff1f60c143d10ee33cbe5ff792d0e78e63e7c","schema_version":"1.0","event_id":"sha256:08aedc39f64fc3b07b47d170586ff1f60c143d10ee33cbe5ff792d0e78e63e7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SQOXRBKATWWGWI3YTIBVZ32BG6/bundle.json","state_url":"https://pith.science/pith/SQOXRBKATWWGWI3YTIBVZ32BG6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SQOXRBKATWWGWI3YTIBVZ32BG6/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":"2026-08-10T14:37:24Z","links":{"resolver":"https://pith.science/pith/SQOXRBKATWWGWI3YTIBVZ32BG6","bundle":"https://pith.science/pith/SQOXRBKATWWGWI3YTIBVZ32BG6/bundle.json","state":"https://pith.science/pith/SQOXRBKATWWGWI3YTIBVZ32BG6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SQOXRBKATWWGWI3YTIBVZ32BG6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SQOXRBKATWWGWI3YTIBVZ32BG6","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":"49bed4797128a23c29d162c4d26b97abcc8f63dd4706b35f457874f4b6a3874a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T18:42:16Z","title_canon_sha256":"9ff019840217b7232f937e654123e15f24f57fcd3293b57311fc15bd300e7edb"},"schema_version":"1.0","source":{"id":"2608.01437","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01437","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01437v1","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01437","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"SQOXRBKATWWG","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"SQOXRBKATWWGWI3Y","created_at":"2026-08-04T02:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"SQOXRBKA","created_at":"2026-08-04T02:05:13Z"}],"graph_snapshots":[{"event_id":"sha256:08aedc39f64fc3b07b47d170586ff1f60c143d10ee33cbe5ff792d0e78e63e7c","target":"graph","created_at":"2026-08-04T02:05:13Z","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/2608.01437/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Continual Instruction Tuning (MCIT) enables multimodal large language models to acquire new tasks sequentially while retaining previously learned capabilities. Many recent methods maintain task-specific LoRA experts and route each input to one or more experts at inference. Yet the task-identification problem underlying expert routing remains under-explored. We show that routing is nearly saturated on widely used MCIT benchmarks. Textual fingerprints that leak task identity and short 4--10-task sequences with few competing experts jointly obscure the long-horizon routing problem. To ","authors_text":"Baile Xu, Bogang Zhang, Dunwei Tu, Furao Shen, Huiyu Yi, Xu Zhiming, Yongqi Xu, Zhen-Hao Xie","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T18:42:16Z","title":"Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Continual Instruction Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01437","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":"sha256:2ed52bbe7efbadfef3476f993687afaed68b47712a0609346f750e5b27bff302","target":"record","created_at":"2026-08-04T02:05:13Z","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":"49bed4797128a23c29d162c4d26b97abcc8f63dd4706b35f457874f4b6a3874a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T18:42:16Z","title_canon_sha256":"9ff019840217b7232f937e654123e15f24f57fcd3293b57311fc15bd300e7edb"},"schema_version":"1.0","source":{"id":"2608.01437","kind":"arxiv","version":1}},"canonical_sha256":"941d7885409dac6b23789a035cef4137919a1df1bc991f8f38bda62aa49be5c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"941d7885409dac6b23789a035cef4137919a1df1bc991f8f38bda62aa49be5c6","first_computed_at":"2026-08-04T02:05:13.325475Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:05:13.325475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PCePI8o0hHvH2mZG92ugsv0eezG0/4NQXd73I+0SCrsIVFDTkIoONOywKWNIaqma7XgTqVFLq/XczmhdRxThBA==","signature_status":"signed_v1","signed_at":"2026-08-04T02:05:13.327049Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.01437","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ed52bbe7efbadfef3476f993687afaed68b47712a0609346f750e5b27bff302","sha256:08aedc39f64fc3b07b47d170586ff1f60c143d10ee33cbe5ff792d0e78e63e7c"],"state_sha256":"d132679ee6f4cd6a6deb29b0e0459fcde88de5fe69f8f500b492cfe30d5e540b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R/iiwJIO+0ol8/HjiAjaxPsc0iBhQY3SzDcrqfaHn0B6B0kxD/vYwbUom2AvjVnc3BoepPfb0kRc2WxNU0SOAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T14:37:24.532281Z","bundle_sha256":"a3794ce958240aac8f10b19497fca0b9eec2a0260b5c4bb3d346715c15f98faf"}}