{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BLMEEDUREK7ZZJNPJPQBXSP62D","short_pith_number":"pith:BLMEEDUR","canonical_record":{"source":{"id":"2504.06766","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-09T10:42:36Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a56f11e444d4af03faa9f1addd0669c68f01ca1689936c2fda7c1d1cfe6d8ddf","abstract_canon_sha256":"76532038909a47987ff369b088920ae37ace8f14664170d22013e66663109157"},"schema_version":"1.0"},"canonical_sha256":"0ad8420e9122bf9ca5af4be01bc9fed0c2c511eb22ddfdb3cb86b849c9284a95","source":{"kind":"arxiv","id":"2504.06766","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.06766","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2504.06766v2","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.06766","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"BLMEEDUREK7Z","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"BLMEEDUREK7ZZJNP","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"BLMEEDUR","created_at":"2026-07-05T11:09:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BLMEEDUREK7ZZJNPJPQBXSP62D","target":"record","payload":{"canonical_record":{"source":{"id":"2504.06766","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-09T10:42:36Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a56f11e444d4af03faa9f1addd0669c68f01ca1689936c2fda7c1d1cfe6d8ddf","abstract_canon_sha256":"76532038909a47987ff369b088920ae37ace8f14664170d22013e66663109157"},"schema_version":"1.0"},"canonical_sha256":"0ad8420e9122bf9ca5af4be01bc9fed0c2c511eb22ddfdb3cb86b849c9284a95","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:11.138604Z","signature_b64":"aD/Z2UujmdRuSLXxOasSY+k46RJ4J3y3Vsi/m3lZS2fpWYbsjrWGdLkteHukSxJPeXNBbA35nrUVzY6xgqb1Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ad8420e9122bf9ca5af4be01bc9fed0c2c511eb22ddfdb3cb86b849c9284a95","last_reissued_at":"2026-07-05T11:09:11.138118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:11.138118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.06766","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vrSWsJP7VrzKLPMZBFaHi8OPkwenC5rEE1kutf6slkdDQu1B/2GzujN2tjhT4jOC2IlxiyMJVgvWWH4K4Tp4Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:51:31.282558Z"},"content_sha256":"5599e792c69f25a71fefc7f2da79fa69c60460ca87ecc62cb82d7d45a4126cff","schema_version":"1.0","event_id":"sha256:5599e792c69f25a71fefc7f2da79fa69c60460ca87ecc62cb82d7d45a4126cff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BLMEEDUREK7ZZJNPJPQBXSP62D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FamilyTool: A Multi-hop Personalized Tool Use Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Jiajun Chen, Jie Yang, Shuo Chen, Xipeng Qiu, Xuanjing Huang, Yining Zheng, Yiran Guo, Yuan Li, Yuxin Wang, Zhangyue Yin","submitted_at":"2025-04-09T10:42:36Z","abstract_excerpt":"The integration of tool learning with Large Language Models (LLMs) has expanded their capabilities in handling complex tasks by leveraging external tools. However, existing benchmarks for tool learning inadequately address critical real-world personalized scenarios, particularly those requiring multi-hop reasoning and inductive knowledge adaptation in dynamic environments. To bridge this gap, we introduce FamilyTool, a novel benchmark grounded in a family-based knowledge graph (KG) that simulates personalized, multi-hop tool use scenarios. FamilyTool, including base and extended datasets, chal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.06766","kind":"arxiv","version":2},"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/2504.06766/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":"2026-07-05T11:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L6TT8/FHN80bHKgUd43v67QnzR41bN6LaYyHhlYc7wsEAF/LeEKEUsVjWb1TiCkHdsVE46/voKNlEU+ilBX7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:51:31.282977Z"},"content_sha256":"517f9ed867e3244790c629a690c5e8e20840685389268d62e49d092984c13b27","schema_version":"1.0","event_id":"sha256:517f9ed867e3244790c629a690c5e8e20840685389268d62e49d092984c13b27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BLMEEDUREK7ZZJNPJPQBXSP62D/bundle.json","state_url":"https://pith.science/pith/BLMEEDUREK7ZZJNPJPQBXSP62D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BLMEEDUREK7ZZJNPJPQBXSP62D/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":"2026-08-05T18:51:31Z","links":{"resolver":"https://pith.science/pith/BLMEEDUREK7ZZJNPJPQBXSP62D","bundle":"https://pith.science/pith/BLMEEDUREK7ZZJNPJPQBXSP62D/bundle.json","state":"https://pith.science/pith/BLMEEDUREK7ZZJNPJPQBXSP62D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BLMEEDUREK7ZZJNPJPQBXSP62D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BLMEEDUREK7ZZJNPJPQBXSP62D","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":"76532038909a47987ff369b088920ae37ace8f14664170d22013e66663109157","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-09T10:42:36Z","title_canon_sha256":"a56f11e444d4af03faa9f1addd0669c68f01ca1689936c2fda7c1d1cfe6d8ddf"},"schema_version":"1.0","source":{"id":"2504.06766","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.06766","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2504.06766v2","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.06766","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"BLMEEDUREK7Z","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"BLMEEDUREK7ZZJNP","created_at":"2026-07-05T11:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"BLMEEDUR","created_at":"2026-07-05T11:09:11Z"}],"graph_snapshots":[{"event_id":"sha256:517f9ed867e3244790c629a690c5e8e20840685389268d62e49d092984c13b27","target":"graph","created_at":"2026-07-05T11:09:11Z","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/2504.06766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of tool learning with Large Language Models (LLMs) has expanded their capabilities in handling complex tasks by leveraging external tools. However, existing benchmarks for tool learning inadequately address critical real-world personalized scenarios, particularly those requiring multi-hop reasoning and inductive knowledge adaptation in dynamic environments. To bridge this gap, we introduce FamilyTool, a novel benchmark grounded in a family-based knowledge graph (KG) that simulates personalized, multi-hop tool use scenarios. FamilyTool, including base and extended datasets, chal","authors_text":"Jiajun Chen, Jie Yang, Shuo Chen, Xipeng Qiu, Xuanjing Huang, Yining Zheng, Yiran Guo, Yuan Li, Yuxin Wang, Zhangyue Yin","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-09T10:42:36Z","title":"FamilyTool: A Multi-hop Personalized Tool Use Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.06766","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":"sha256:5599e792c69f25a71fefc7f2da79fa69c60460ca87ecc62cb82d7d45a4126cff","target":"record","created_at":"2026-07-05T11:09:11Z","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":"76532038909a47987ff369b088920ae37ace8f14664170d22013e66663109157","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-09T10:42:36Z","title_canon_sha256":"a56f11e444d4af03faa9f1addd0669c68f01ca1689936c2fda7c1d1cfe6d8ddf"},"schema_version":"1.0","source":{"id":"2504.06766","kind":"arxiv","version":2}},"canonical_sha256":"0ad8420e9122bf9ca5af4be01bc9fed0c2c511eb22ddfdb3cb86b849c9284a95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ad8420e9122bf9ca5af4be01bc9fed0c2c511eb22ddfdb3cb86b849c9284a95","first_computed_at":"2026-07-05T11:09:11.138118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:11.138118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aD/Z2UujmdRuSLXxOasSY+k46RJ4J3y3Vsi/m3lZS2fpWYbsjrWGdLkteHukSxJPeXNBbA35nrUVzY6xgqb1Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:11.138604Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.06766","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5599e792c69f25a71fefc7f2da79fa69c60460ca87ecc62cb82d7d45a4126cff","sha256:517f9ed867e3244790c629a690c5e8e20840685389268d62e49d092984c13b27"],"state_sha256":"cf4624d1c6f1e3b65725f253eb06f1cb1e4a24cabc71d17efd7909b1311b02f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"694Q9b+/JGouq7lrWWMwFcUfZHInbzYYzKSWanZP+wS41/Q675Yk1mtJSVlV25JzlIvy9lIqF2uooAZfYJGrBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:51:31.286788Z","bundle_sha256":"312524d84307baac11c730b95fff46473868c2ba8b370eba9341443fd6d843cc"}}