{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DQVKR3MB7EQVPLRASKWFPXDC4K","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":"9d729586951f6f18971838dadac2b83657f1d1551dff64acf17b99d73b9b324e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-14T14:12:43Z","title_canon_sha256":"ea4dcd04679fdfc3f319cf9906c10d75e8a85a96d6757b26fd1d3d4e4f72faa1"},"schema_version":"1.0","source":{"id":"2602.13792","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.13792","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"arxiv_version","alias_value":"2602.13792v2","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.13792","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"pith_short_12","alias_value":"DQVKR3MB7EQV","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"pith_short_16","alias_value":"DQVKR3MB7EQVPLRA","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"pith_short_8","alias_value":"DQVKR3MB","created_at":"2026-06-30T02:17:16Z"}],"graph_snapshots":[{"event_id":"sha256:3e0e73028bd9a169d08029f197c5b176d3907059d31accff968b12cc05541e93","target":"graph","created_at":"2026-06-30T02:17:16Z","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/2602.13792/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black-box foundation models is essential for trustworthy intelligent systems, yet no established method exists. Here we show that such coordination can be achieved through a meta-ensemble framework termed StackingNet, which aggregates the output predictions of independent models at inference. StackingNet improves accuracy","authors_text":"Chenhao Liu, Dongrui Wu, Lieyun Ding, Siyang Li, Zhigang Zeng","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-14T14:12:43Z","title":"StackingNet: Collective Inference Across Independent AI Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.13792","kind":"arxiv","version":2},"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":"sha256:2d8b02cccd930c6cc97b4296a49f58574e6bf865285cebbc92ebd2e6890165eb","target":"record","created_at":"2026-06-30T02:17:16Z","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":"9d729586951f6f18971838dadac2b83657f1d1551dff64acf17b99d73b9b324e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-14T14:12:43Z","title_canon_sha256":"ea4dcd04679fdfc3f319cf9906c10d75e8a85a96d6757b26fd1d3d4e4f72faa1"},"schema_version":"1.0","source":{"id":"2602.13792","kind":"arxiv","version":2}},"canonical_sha256":"1c2aa8ed81f92157ae2092ac57dc62e2978e92022114d49068b2f0d8fd451fe8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c2aa8ed81f92157ae2092ac57dc62e2978e92022114d49068b2f0d8fd451fe8","first_computed_at":"2026-06-30T02:17:16.182762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:16.182762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bhsOiiq5Q5LxFbJXaiOSmz2ontXZpQnW0FJKXLuwF+AQzcPusyndY7iNju4NuubX4jO5M6fM3d7m+cghCq4BAQ==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:16.183501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.13792","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d8b02cccd930c6cc97b4296a49f58574e6bf865285cebbc92ebd2e6890165eb","sha256:3e0e73028bd9a169d08029f197c5b176d3907059d31accff968b12cc05541e93"],"state_sha256":"dfa1b962309477c202a3a1080698d261d0a3cc8ecd2cf9bb387d106a15f0e79d"}