{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OGK4TIGEVXZ5DTEUKWTIUV32FX","short_pith_number":"pith:OGK4TIGE","canonical_record":{"source":{"id":"2608.04454","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T05:09:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d1d874ca16cbd2489405166b09eec3ab2084ff0b3e36715b7f450e2fa239180b","abstract_canon_sha256":"93802f25eaad373c49ee425ccccc0f812410dccf39480b46c6d37bc42903286d"},"schema_version":"1.0"},"canonical_sha256":"7195c9a0c4adf3d1cc9455a68a577a2df205c6d36c0fb6526e5fffead90e2844","source":{"kind":"arxiv","id":"2608.04454","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04454","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04454v1","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04454","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"pith_short_12","alias_value":"OGK4TIGEVXZ5","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"pith_short_16","alias_value":"OGK4TIGEVXZ5DTEU","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"pith_short_8","alias_value":"OGK4TIGE","created_at":"2026-08-06T01:35:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OGK4TIGEVXZ5DTEUKWTIUV32FX","target":"record","payload":{"canonical_record":{"source":{"id":"2608.04454","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T05:09:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d1d874ca16cbd2489405166b09eec3ab2084ff0b3e36715b7f450e2fa239180b","abstract_canon_sha256":"93802f25eaad373c49ee425ccccc0f812410dccf39480b46c6d37bc42903286d"},"schema_version":"1.0"},"canonical_sha256":"7195c9a0c4adf3d1cc9455a68a577a2df205c6d36c0fb6526e5fffead90e2844","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:35:30.750756Z","signature_b64":"V1T7Kx1JEXpCAUo+SPVk1NllonwKdmhNtkwZIsFzO2G4QYExQA+h60kHdQVq3kAiMLCrlj4qO9BzEKhtM60jDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7195c9a0c4adf3d1cc9455a68a577a2df205c6d36c0fb6526e5fffead90e2844","last_reissued_at":"2026-08-06T01:35:30.749248Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:35:30.749248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.04454","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":"2026-08-06T01:35:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7TrauaD4eRIlljnhsnnSemqYNQN8VXBPgrVq+TuT3YeL1tvC0nKSwAsWkS5c01K58Hc9nfQzef/QpsUTy29pDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:00:05.356533Z"},"content_sha256":"05e29480f9d25e289cf66c18691373b1abf5a9dbc95edf0c9523c4d531f16fe0","schema_version":"1.0","event_id":"sha256:05e29480f9d25e289cf66c18691373b1abf5a9dbc95edf0c9523c4d531f16fe0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OGK4TIGEVXZ5DTEUKWTIUV32FX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Cheng Yan, Hongyu Zhang, Wuyang Zhang, Xiang Xia","submitted_at":"2026-08-05T05:09:20Z","abstract_excerpt":"Mixture-of-experts vision-language models (MoE-VLMs) increase model capacity with sparse expert activation, yet deployment requires storing the full expert pool. Training-free expert merging reduces this burden, and many routing-based methods aggregate routing statistics across all tokens to determine merge compatibility. However, MoE-VLM inference is phase-structured: image-context tokens carry visual content, question tokens specify the query, and answer tokens produce the output, with different counts and routing distributions. Because image-context tokens are far more numerous, global aggr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04454","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/2608.04454/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":"2026-08-06T01:35:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8NoCDl4er4C2+a4WOQwLGuPCZlZzYqT3MeUQKR9Z712ynAtNpHLch0B1r6xRpumncby8yy4nGdvddszvJ1ytAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:00:05.357455Z"},"content_sha256":"e95420dc3b51d2d72fbc1e4249d9222024e19f831e4f5e34e0e636da799d4865","schema_version":"1.0","event_id":"sha256:e95420dc3b51d2d72fbc1e4249d9222024e19f831e4f5e34e0e636da799d4865"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX/bundle.json","state_url":"https://pith.science/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX/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":"2026-08-08T21:00:05Z","links":{"resolver":"https://pith.science/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX","bundle":"https://pith.science/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX/bundle.json","state":"https://pith.science/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OGK4TIGEVXZ5DTEUKWTIUV32FX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OGK4TIGEVXZ5DTEUKWTIUV32FX","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":"93802f25eaad373c49ee425ccccc0f812410dccf39480b46c6d37bc42903286d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T05:09:20Z","title_canon_sha256":"d1d874ca16cbd2489405166b09eec3ab2084ff0b3e36715b7f450e2fa239180b"},"schema_version":"1.0","source":{"id":"2608.04454","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04454","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04454v1","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04454","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"pith_short_12","alias_value":"OGK4TIGEVXZ5","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"pith_short_16","alias_value":"OGK4TIGEVXZ5DTEU","created_at":"2026-08-06T01:35:30Z"},{"alias_kind":"pith_short_8","alias_value":"OGK4TIGE","created_at":"2026-08-06T01:35:30Z"}],"graph_snapshots":[{"event_id":"sha256:e95420dc3b51d2d72fbc1e4249d9222024e19f831e4f5e34e0e636da799d4865","target":"graph","created_at":"2026-08-06T01:35:30Z","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/2608.04454/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mixture-of-experts vision-language models (MoE-VLMs) increase model capacity with sparse expert activation, yet deployment requires storing the full expert pool. Training-free expert merging reduces this burden, and many routing-based methods aggregate routing statistics across all tokens to determine merge compatibility. However, MoE-VLM inference is phase-structured: image-context tokens carry visual content, question tokens specify the query, and answer tokens produce the output, with different counts and routing distributions. Because image-context tokens are far more numerous, global aggr","authors_text":"Cheng Yan, Hongyu Zhang, Wuyang Zhang, Xiang Xia","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T05:09:20Z","title":"Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04454","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":"sha256:05e29480f9d25e289cf66c18691373b1abf5a9dbc95edf0c9523c4d531f16fe0","target":"record","created_at":"2026-08-06T01:35:30Z","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":"93802f25eaad373c49ee425ccccc0f812410dccf39480b46c6d37bc42903286d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T05:09:20Z","title_canon_sha256":"d1d874ca16cbd2489405166b09eec3ab2084ff0b3e36715b7f450e2fa239180b"},"schema_version":"1.0","source":{"id":"2608.04454","kind":"arxiv","version":1}},"canonical_sha256":"7195c9a0c4adf3d1cc9455a68a577a2df205c6d36c0fb6526e5fffead90e2844","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7195c9a0c4adf3d1cc9455a68a577a2df205c6d36c0fb6526e5fffead90e2844","first_computed_at":"2026-08-06T01:35:30.749248Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:35:30.749248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V1T7Kx1JEXpCAUo+SPVk1NllonwKdmhNtkwZIsFzO2G4QYExQA+h60kHdQVq3kAiMLCrlj4qO9BzEKhtM60jDA==","signature_status":"signed_v1","signed_at":"2026-08-06T01:35:30.750756Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04454","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05e29480f9d25e289cf66c18691373b1abf5a9dbc95edf0c9523c4d531f16fe0","sha256:e95420dc3b51d2d72fbc1e4249d9222024e19f831e4f5e34e0e636da799d4865"],"state_sha256":"587ec9da75a8f6ade42b59faac1656cfdab1c95b41dd234ad45e1b54e9a2a13b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V1bfiXP7nZ/yZh4HZgOVL3RQM9SmCOXkceEoRzrLRELweJ+ns51Aw+l0bL1k7n1VgNNCVT1hCBHQ5sderEfUBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:00:05.364015Z","bundle_sha256":"8226f20555addc6e53e39443da510c6c270576a049b89012ee270b4b9c2de444"}}