{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3CIWFXIFMXKU3YDBPGQ7PV5JKJ","short_pith_number":"pith:3CIWFXIF","canonical_record":{"source":{"id":"2505.07460","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-12T11:48:42Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"68b5d685e31233b20a826220deb762e68cb2bcb646235453edc0d13afb6d7342","abstract_canon_sha256":"426e7ff0997119016f4e035323850d45382436dada78c31b329d804be35666b0"},"schema_version":"1.0"},"canonical_sha256":"d89162dd0565d54de06179a1f7d7a9527d55f7a286a5221e1226441316a3e4b7","source":{"kind":"arxiv","id":"2505.07460","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07460","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07460v1","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07460","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"pith_short_12","alias_value":"3CIWFXIFMXKU","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"pith_short_16","alias_value":"3CIWFXIFMXKU3YDB","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"pith_short_8","alias_value":"3CIWFXIF","created_at":"2026-07-05T11:01:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3CIWFXIFMXKU3YDBPGQ7PV5JKJ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07460","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-12T11:48:42Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"68b5d685e31233b20a826220deb762e68cb2bcb646235453edc0d13afb6d7342","abstract_canon_sha256":"426e7ff0997119016f4e035323850d45382436dada78c31b329d804be35666b0"},"schema_version":"1.0"},"canonical_sha256":"d89162dd0565d54de06179a1f7d7a9527d55f7a286a5221e1226441316a3e4b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:48.050659Z","signature_b64":"w3WFoSIK+0Ch8mcBMBF+q4O8HAGBiDf+lXVlQCGRrw19LzFxRDYVQ8nAxEtfzvMQbMQYVL9fxJPe26QRBlL4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d89162dd0565d54de06179a1f7d7a9527d55f7a286a5221e1226441316a3e4b7","last_reissued_at":"2026-07-05T11:01:48.050194Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:48.050194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07460","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":"2026-07-05T11:01:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DGpogDtsYczWCC3KI0jZJdHxiH+uBpgsIGeN1XHg8D3B/2M5GouWVHfJhCPpNAwAdl6WhFtsMTcV7MOAb0AaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T19:33:31.435356Z"},"content_sha256":"53e8ec0badaa931920f09e7a876057998653cb01f13f65a99e3a07e882ac7788","schema_version":"1.0","event_id":"sha256:53e8ec0badaa931920f09e7a876057998653cb01f13f65a99e3a07e882ac7788"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3CIWFXIFMXKU3YDBPGQ7PV5JKJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Collaborative Mechanisms Between Large and Small Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"HaoHao Han, Jiahao Zhao, Yi Chen","submitted_at":"2025-05-12T11:48:42Z","abstract_excerpt":"Large Language Models (LLMs) deliver powerful AI capabilities but face deployment challenges due to high resource costs and latency, whereas Small Language Models (SLMs) offer efficiency and deployability at the cost of reduced performance. Collaboration between LLMs and SLMs emerges as a crucial paradigm to synergistically balance these trade-offs, enabling advanced AI applications, especially on resource-constrained edge devices. This survey provides a comprehensive overview of LLM-SLM collaboration, detailing various interaction mechanisms (pipeline, routing, auxiliary, distillation, fusion"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07460","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/2505.07460/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":"2026-07-05T11:01:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4GQYYscyGJ6gVvyQGKZbmCUtqJ9Jf+yFL67wyIXDWwkBKSUqigB0y+kPErsCCma4qZPKmtCYK+TSvEB8FcxLAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T19:33:31.436298Z"},"content_sha256":"7557ab88fbb0a926bbb4c995280be3bcf071edb4e033105f9a3d0fd285da4516","schema_version":"1.0","event_id":"sha256:7557ab88fbb0a926bbb4c995280be3bcf071edb4e033105f9a3d0fd285da4516"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ/bundle.json","state_url":"https://pith.science/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ/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":"2026-08-10T19:33:31Z","links":{"resolver":"https://pith.science/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ","bundle":"https://pith.science/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ/bundle.json","state":"https://pith.science/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3CIWFXIFMXKU3YDBPGQ7PV5JKJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3CIWFXIFMXKU3YDBPGQ7PV5JKJ","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":"426e7ff0997119016f4e035323850d45382436dada78c31b329d804be35666b0","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-12T11:48:42Z","title_canon_sha256":"68b5d685e31233b20a826220deb762e68cb2bcb646235453edc0d13afb6d7342"},"schema_version":"1.0","source":{"id":"2505.07460","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07460","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07460v1","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07460","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"pith_short_12","alias_value":"3CIWFXIFMXKU","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"pith_short_16","alias_value":"3CIWFXIFMXKU3YDB","created_at":"2026-07-05T11:01:48Z"},{"alias_kind":"pith_short_8","alias_value":"3CIWFXIF","created_at":"2026-07-05T11:01:48Z"}],"graph_snapshots":[{"event_id":"sha256:7557ab88fbb0a926bbb4c995280be3bcf071edb4e033105f9a3d0fd285da4516","target":"graph","created_at":"2026-07-05T11:01:48Z","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/2505.07460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) deliver powerful AI capabilities but face deployment challenges due to high resource costs and latency, whereas Small Language Models (SLMs) offer efficiency and deployability at the cost of reduced performance. Collaboration between LLMs and SLMs emerges as a crucial paradigm to synergistically balance these trade-offs, enabling advanced AI applications, especially on resource-constrained edge devices. This survey provides a comprehensive overview of LLM-SLM collaboration, detailing various interaction mechanisms (pipeline, routing, auxiliary, distillation, fusion","authors_text":"HaoHao Han, Jiahao Zhao, Yi Chen","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-12T11:48:42Z","title":"A Survey on Collaborative Mechanisms Between Large and Small Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07460","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":"sha256:53e8ec0badaa931920f09e7a876057998653cb01f13f65a99e3a07e882ac7788","target":"record","created_at":"2026-07-05T11:01:48Z","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":"426e7ff0997119016f4e035323850d45382436dada78c31b329d804be35666b0","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-12T11:48:42Z","title_canon_sha256":"68b5d685e31233b20a826220deb762e68cb2bcb646235453edc0d13afb6d7342"},"schema_version":"1.0","source":{"id":"2505.07460","kind":"arxiv","version":1}},"canonical_sha256":"d89162dd0565d54de06179a1f7d7a9527d55f7a286a5221e1226441316a3e4b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d89162dd0565d54de06179a1f7d7a9527d55f7a286a5221e1226441316a3e4b7","first_computed_at":"2026-07-05T11:01:48.050194Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:48.050194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w3WFoSIK+0Ch8mcBMBF+q4O8HAGBiDf+lXVlQCGRrw19LzFxRDYVQ8nAxEtfzvMQbMQYVL9fxJPe26QRBlL4Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:48.050659Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07460","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53e8ec0badaa931920f09e7a876057998653cb01f13f65a99e3a07e882ac7788","sha256:7557ab88fbb0a926bbb4c995280be3bcf071edb4e033105f9a3d0fd285da4516"],"state_sha256":"e39433835c71689bc8cf0e1131644c86a79a274510381a5eef309099c9dcea95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v31X18ITNPzXN8/yvYwxBGz8RstFoWr6zpKefuZGExIrbvVdiIAjJLXlilCUUxbeFB9vu9luF7X3BtkWqHBKAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T19:33:31.442807Z","bundle_sha256":"37fe00efeb49107a96b7d54da0d9505f4de64d59640ff0c691b920fca5d527ef"}}