{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MDOWLMNO6OHP4KN5Z36DKW7TAG","short_pith_number":"pith:MDOWLMNO","canonical_record":{"source":{"id":"2412.17754","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-23T18:07:18Z","cross_cats_sorted":[],"title_canon_sha256":"d81319c6daac978c640064703c1994b8fd7a70baaf9d13ccf18107401bea7202","abstract_canon_sha256":"b9bb530566ecc290bca5093a275d397e85a6a2ad53937042bcdc241b868f2aeb"},"schema_version":"1.0"},"canonical_sha256":"60dd65b1aef38efe29bdcefc355bf3018c07fa45251a7d8d5353d38c67dd0a23","source":{"kind":"arxiv","id":"2412.17754","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17754","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17754v2","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17754","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"pith_short_12","alias_value":"MDOWLMNO6OHP","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"pith_short_16","alias_value":"MDOWLMNO6OHP4KN5","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"pith_short_8","alias_value":"MDOWLMNO","created_at":"2026-07-05T09:54:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MDOWLMNO6OHP4KN5Z36DKW7TAG","target":"record","payload":{"canonical_record":{"source":{"id":"2412.17754","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-23T18:07:18Z","cross_cats_sorted":[],"title_canon_sha256":"d81319c6daac978c640064703c1994b8fd7a70baaf9d13ccf18107401bea7202","abstract_canon_sha256":"b9bb530566ecc290bca5093a275d397e85a6a2ad53937042bcdc241b868f2aeb"},"schema_version":"1.0"},"canonical_sha256":"60dd65b1aef38efe29bdcefc355bf3018c07fa45251a7d8d5353d38c67dd0a23","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:07.603062Z","signature_b64":"ir5voM20Km+IixyAcxUSDYFuUheIqMjhy+kgkZPOHI2h9b73n0zCb2x+iW8mVJQFowdatQ/WMkHk5uvxtjUcBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60dd65b1aef38efe29bdcefc355bf3018c07fa45251a7d8d5353d38c67dd0a23","last_reissued_at":"2026-07-05T09:54:07.602614Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:07.602614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.17754","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":"2026-07-05T09:54:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2fR2qtFzqFyjagAlyf+w8m2YzBSNQzMByj8yYQH2qYn1K6l5FPjVL7BrSCDHwPp/U4W4Kcx5yxaXH3HKjRs0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:35:31.337863Z"},"content_sha256":"c1ea08613fb277abf3205015a878d20ebc2fc965d3b9159c5c726930f7329478","schema_version":"1.0","event_id":"sha256:c1ea08613fb277abf3205015a878d20ebc2fc965d3b9159c5c726930f7329478"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MDOWLMNO6OHP4KN5Z36DKW7TAG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Feijun Jiang, Hongcheng Guo, Li Zhu, Mengping Zhou, Qianghuai Jia, Wei Zhang, Yi Zhang, Zhoujun Li","submitted_at":"2024-12-23T18:07:18Z","abstract_excerpt":"Large Language Models (LLMs) have made significant strides in Natural Language Processing and coding, yet they struggle with robustness and accuracy in complex function calls. To tackle these challenges, this paper introduces ADC, an innovative approach that enhances LLMs' ability to follow function formats and match complex parameters. ADC utilizes a high-quality code fine-tuning dataset with line-level execution feedback, providing granular process supervision that fosters strong logical reasoning and adherence to function formats. It also employs an adversarial dataset generation process to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17754","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/2412.17754/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":"2026-07-05T09:54:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LRVOXyVXyqcMfwrIzI+n+0C09nQ4Y0Na2CcQ3c/mLwNc509XEjxmX78wc8wvaI4B7s+daHRvx8UA4C+xgr2AAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:35:31.338392Z"},"content_sha256":"032e811c101bf2b59d48a560d48b7842e39b16bc30907a9c4d7525fbfe7f8817","schema_version":"1.0","event_id":"sha256:032e811c101bf2b59d48a560d48b7842e39b16bc30907a9c4d7525fbfe7f8817"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG/bundle.json","state_url":"https://pith.science/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG/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":"2026-08-11T19:35:31Z","links":{"resolver":"https://pith.science/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG","bundle":"https://pith.science/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG/bundle.json","state":"https://pith.science/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MDOWLMNO6OHP4KN5Z36DKW7TAG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MDOWLMNO6OHP4KN5Z36DKW7TAG","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":"b9bb530566ecc290bca5093a275d397e85a6a2ad53937042bcdc241b868f2aeb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-23T18:07:18Z","title_canon_sha256":"d81319c6daac978c640064703c1994b8fd7a70baaf9d13ccf18107401bea7202"},"schema_version":"1.0","source":{"id":"2412.17754","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17754","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17754v2","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17754","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"pith_short_12","alias_value":"MDOWLMNO6OHP","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"pith_short_16","alias_value":"MDOWLMNO6OHP4KN5","created_at":"2026-07-05T09:54:07Z"},{"alias_kind":"pith_short_8","alias_value":"MDOWLMNO","created_at":"2026-07-05T09:54:07Z"}],"graph_snapshots":[{"event_id":"sha256:032e811c101bf2b59d48a560d48b7842e39b16bc30907a9c4d7525fbfe7f8817","target":"graph","created_at":"2026-07-05T09:54:07Z","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/2412.17754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have made significant strides in Natural Language Processing and coding, yet they struggle with robustness and accuracy in complex function calls. To tackle these challenges, this paper introduces ADC, an innovative approach that enhances LLMs' ability to follow function formats and match complex parameters. ADC utilizes a high-quality code fine-tuning dataset with line-level execution feedback, providing granular process supervision that fosters strong logical reasoning and adherence to function formats. It also employs an adversarial dataset generation process to","authors_text":"Feijun Jiang, Hongcheng Guo, Li Zhu, Mengping Zhou, Qianghuai Jia, Wei Zhang, Yi Zhang, Zhoujun Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-23T18:07:18Z","title":"ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17754","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:c1ea08613fb277abf3205015a878d20ebc2fc965d3b9159c5c726930f7329478","target":"record","created_at":"2026-07-05T09:54:07Z","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":"b9bb530566ecc290bca5093a275d397e85a6a2ad53937042bcdc241b868f2aeb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-23T18:07:18Z","title_canon_sha256":"d81319c6daac978c640064703c1994b8fd7a70baaf9d13ccf18107401bea7202"},"schema_version":"1.0","source":{"id":"2412.17754","kind":"arxiv","version":2}},"canonical_sha256":"60dd65b1aef38efe29bdcefc355bf3018c07fa45251a7d8d5353d38c67dd0a23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60dd65b1aef38efe29bdcefc355bf3018c07fa45251a7d8d5353d38c67dd0a23","first_computed_at":"2026-07-05T09:54:07.602614Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:07.602614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ir5voM20Km+IixyAcxUSDYFuUheIqMjhy+kgkZPOHI2h9b73n0zCb2x+iW8mVJQFowdatQ/WMkHk5uvxtjUcBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:07.603062Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17754","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1ea08613fb277abf3205015a878d20ebc2fc965d3b9159c5c726930f7329478","sha256:032e811c101bf2b59d48a560d48b7842e39b16bc30907a9c4d7525fbfe7f8817"],"state_sha256":"1335fd420fcea425addbbd99d6f09ed9ad56d990ed8982526ae8d0580363c350"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yeadaPLdzvGuaKFliVZTaNRz96CcEZktvabNFt5sxDjwFHJjD4QIduI3sACRI6MgGavsVroWremEfq8QvdPdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T19:35:31.344123Z","bundle_sha256":"18fbb50b085b91d39ed9e7f75388c349075f1a79498651afed7de9b9a8b9897b"}}