{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:D4GX7OZOOQ6EFCW7JETUHXX3AC","short_pith_number":"pith:D4GX7OZO","canonical_record":{"source":{"id":"2410.13181","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T03:07:37Z","cross_cats_sorted":[],"title_canon_sha256":"2ba1393f070f77fda244c54d9c7f60364fac24af77af6815762f8228472dc43f","abstract_canon_sha256":"252a98468da28336f44422471f01fcd6a3b11ce6b39094110f8d4bb3955419b1"},"schema_version":"1.0"},"canonical_sha256":"1f0d7fbb2e743c428adf492743defb00a0bb59b0b632998473de0c06d089a8eb","source":{"kind":"arxiv","id":"2410.13181","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13181","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13181v3","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13181","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"pith_short_12","alias_value":"D4GX7OZOOQ6E","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"pith_short_16","alias_value":"D4GX7OZOOQ6EFCW7","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"pith_short_8","alias_value":"D4GX7OZO","created_at":"2026-05-20T00:05:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:D4GX7OZOOQ6EFCW7JETUHXX3AC","target":"record","payload":{"canonical_record":{"source":{"id":"2410.13181","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T03:07:37Z","cross_cats_sorted":[],"title_canon_sha256":"2ba1393f070f77fda244c54d9c7f60364fac24af77af6815762f8228472dc43f","abstract_canon_sha256":"252a98468da28336f44422471f01fcd6a3b11ce6b39094110f8d4bb3955419b1"},"schema_version":"1.0"},"canonical_sha256":"1f0d7fbb2e743c428adf492743defb00a0bb59b0b632998473de0c06d089a8eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:26.053797Z","signature_b64":"nr54jgtZxLqA91cZrba2LHjBTqjvx1AmNnRM7fNxqRhXfsqGfdtSBsfHnHGYg0yngDWZeDnMm39x1xVAhN/JBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f0d7fbb2e743c428adf492743defb00a0bb59b0b632998473de0c06d089a8eb","last_reissued_at":"2026-05-20T00:05:26.053013Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:26.053013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.13181","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:05:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t1tP04koNt1XZjtqrAMa3DsS4RqQCfmKGzba6Y2wurNPoNuqGQ6kq6+9+q/+HHw44Hnz2Ur2wZ9mgoHyMSLeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T18:48:35.352037Z"},"content_sha256":"d364b816b1c17f5afddc5976e72ebe3f70374b091cff19e65b2416d831345af0","schema_version":"1.0","event_id":"sha256:d364b816b1c17f5afddc5976e72ebe3f70374b091cff19e65b2416d831345af0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:D4GX7OZOOQ6EFCW7JETUHXX3AC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bo Wang, Dawei Yin, Hao Sun, Hengyi Cai, Jiayi Wu, Shuaiqiang Wang, Xiaochi Wei, Yan Zhang, Yue Feng","submitted_at":"2024-10-17T03:07:37Z","abstract_excerpt":"Recent advancements in large language models (LLMs) have been remarkable. Users face a choice between using cloud-based LLMs for generation quality and deploying local-based LLMs for lower computational cost. The former option is typically costly and inefficient, while the latter usually fails to deliver satisfactory performance for reasoning steps requiring deliberate thought processes. In this work, we propose a novel LLM utilization paradigm that facilitates the collaborative operation of large cloud-based LLMs and smaller local-deployed LLMs. Our framework comprises two primary modules: th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13181","kind":"arxiv","version":3},"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/2410.13181/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":"2026-05-20T00:05:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uw1TOvNd9htUyLnto0m586qlYoKq4/wgriXXTlPTL1tx4tTt/Y5FhmdMYiMwaAqZHAaPjCVnhd7zWeAnDaVvDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T18:48:35.352433Z"},"content_sha256":"e4924f8bb83757fa10ddbab7c0b70a20b3a9866f8e495f09c90213b505a55a66","schema_version":"1.0","event_id":"sha256:e4924f8bb83757fa10ddbab7c0b70a20b3a9866f8e495f09c90213b505a55a66"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC/bundle.json","state_url":"https://pith.science/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC/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":"2026-06-03T18:48:35Z","links":{"resolver":"https://pith.science/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC","bundle":"https://pith.science/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC/bundle.json","state":"https://pith.science/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D4GX7OZOOQ6EFCW7JETUHXX3AC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:D4GX7OZOOQ6EFCW7JETUHXX3AC","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":"252a98468da28336f44422471f01fcd6a3b11ce6b39094110f8d4bb3955419b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T03:07:37Z","title_canon_sha256":"2ba1393f070f77fda244c54d9c7f60364fac24af77af6815762f8228472dc43f"},"schema_version":"1.0","source":{"id":"2410.13181","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13181","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13181v3","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13181","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"pith_short_12","alias_value":"D4GX7OZOOQ6E","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"pith_short_16","alias_value":"D4GX7OZOOQ6EFCW7","created_at":"2026-05-20T00:05:26Z"},{"alias_kind":"pith_short_8","alias_value":"D4GX7OZO","created_at":"2026-05-20T00:05:26Z"}],"graph_snapshots":[{"event_id":"sha256:e4924f8bb83757fa10ddbab7c0b70a20b3a9866f8e495f09c90213b505a55a66","target":"graph","created_at":"2026-05-20T00:05:26Z","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/2410.13181/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 been remarkable. Users face a choice between using cloud-based LLMs for generation quality and deploying local-based LLMs for lower computational cost. The former option is typically costly and inefficient, while the latter usually fails to deliver satisfactory performance for reasoning steps requiring deliberate thought processes. In this work, we propose a novel LLM utilization paradigm that facilitates the collaborative operation of large cloud-based LLMs and smaller local-deployed LLMs. Our framework comprises two primary modules: th","authors_text":"Bo Wang, Dawei Yin, Hao Sun, Hengyi Cai, Jiayi Wu, Shuaiqiang Wang, Xiaochi Wei, Yan Zhang, Yue Feng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T03:07:37Z","title":"AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13181","kind":"arxiv","version":3},"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:d364b816b1c17f5afddc5976e72ebe3f70374b091cff19e65b2416d831345af0","target":"record","created_at":"2026-05-20T00:05:26Z","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":"252a98468da28336f44422471f01fcd6a3b11ce6b39094110f8d4bb3955419b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T03:07:37Z","title_canon_sha256":"2ba1393f070f77fda244c54d9c7f60364fac24af77af6815762f8228472dc43f"},"schema_version":"1.0","source":{"id":"2410.13181","kind":"arxiv","version":3}},"canonical_sha256":"1f0d7fbb2e743c428adf492743defb00a0bb59b0b632998473de0c06d089a8eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f0d7fbb2e743c428adf492743defb00a0bb59b0b632998473de0c06d089a8eb","first_computed_at":"2026-05-20T00:05:26.053013Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:26.053013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nr54jgtZxLqA91cZrba2LHjBTqjvx1AmNnRM7fNxqRhXfsqGfdtSBsfHnHGYg0yngDWZeDnMm39x1xVAhN/JBg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:26.053797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.13181","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d364b816b1c17f5afddc5976e72ebe3f70374b091cff19e65b2416d831345af0","sha256:e4924f8bb83757fa10ddbab7c0b70a20b3a9866f8e495f09c90213b505a55a66"],"state_sha256":"bb1e4886b8dac46b9ab238e0aa3cf9cc282a45dc940d136c334e07fd15fd4cca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s3vUmidRfCBs7zULE1vR6Fc6wl9zNsuA9ugVDON+mVgcpf6rkfCLgeBOEaGTNlpSja4CM9yffXrl6XICaS31Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T18:48:35.354979Z","bundle_sha256":"560c24aa10564b83b38fe762ee54cf55485aa199f7d597dc2fb615be30a8a33a"}}