{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:G4WP3TQ5PNKJLQQWQMLC2NGUAS","short_pith_number":"pith:G4WP3TQ5","canonical_record":{"source":{"id":"2305.12870","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T09:49:16Z","cross_cats_sorted":[],"title_canon_sha256":"14d9a3ff4154effa85f4f57274e3d014f16064c646ffdd7946071cd5f3a68207","abstract_canon_sha256":"56a669680359cbf5f548141ea130cd341d78baf303dd82cc195fa80b8e82b931"},"schema_version":"1.0"},"canonical_sha256":"372cfdce1d7b5495c21683162d34d40496415a4f42f5215281dd3b00a2191124","source":{"kind":"arxiv","id":"2305.12870","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12870","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12870v2","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12870","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"pith_short_12","alias_value":"G4WP3TQ5PNKJ","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"pith_short_16","alias_value":"G4WP3TQ5PNKJLQQW","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"pith_short_8","alias_value":"G4WP3TQ5","created_at":"2026-07-05T07:00:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:G4WP3TQ5PNKJLQQWQMLC2NGUAS","target":"record","payload":{"canonical_record":{"source":{"id":"2305.12870","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T09:49:16Z","cross_cats_sorted":[],"title_canon_sha256":"14d9a3ff4154effa85f4f57274e3d014f16064c646ffdd7946071cd5f3a68207","abstract_canon_sha256":"56a669680359cbf5f548141ea130cd341d78baf303dd82cc195fa80b8e82b931"},"schema_version":"1.0"},"canonical_sha256":"372cfdce1d7b5495c21683162d34d40496415a4f42f5215281dd3b00a2191124","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:44.591746Z","signature_b64":"EBf74sPovXbjaIPNvaf1Fp6IglQ/gZIWN+ek7Y0i3C+B/fKVXZXUiyC4GZYi3QWk8EdkQ5X0QRxUdT1doBv9Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"372cfdce1d7b5495c21683162d34d40496415a4f42f5215281dd3b00a2191124","last_reissued_at":"2026-07-05T07:00:44.591272Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:44.591272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.12870","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":"2026-07-05T07:00:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FSDD7+bDVXVWelWVWI8S3JSU3dkoYGjHtmfHK4QzZ2xvtXWPkCZffVV0kZEaHslVaf+eVMKGbgeHki85STUMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:50:51.520792Z"},"content_sha256":"de41acfb59db3ad23a5c785580555072bd551652db31d0c70e5a43328a5e55a7","schema_version":"1.0","event_id":"sha256:de41acfb59db3ad23a5c785580555072bd551652db31d0c70e5a43328a5e55a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:G4WP3TQ5PNKJLQQWQMLC2NGUAS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lion: Adversarial Distillation of Proprietary Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chunkit Chan, Mingyang Chen, Wei Wang, Yuxin Jiang","submitted_at":"2023-05-22T09:49:16Z","abstract_excerpt":"The practice of transferring knowledge from a sophisticated, proprietary large language model (LLM) to a compact, open-source LLM has garnered considerable attention. Previous works have focused on a unidirectional knowledge distillation way by aligning the responses of the student model with those of the teacher model to a set of instructions. Nevertheless, they overlooked the possibility of incorporating any reciprocal \"feedback\"--identifying challenging instructions where the student model's performance falls short--to boost the student model's proficiency iteratively. To this end, we propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12870","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/2305.12870/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":"2026-07-05T07:00:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DlPvb2a6NPOkSugc5FXr5WOdx1CSnKMwsbBxLr4umFgRJs4j/B8dM0tzU9C3t1fH9murEba9N0cqXu04XJ78Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:50:51.521288Z"},"content_sha256":"19be8e2ef6053d83f183cb0ace2d268f43a62cc1478303fc7982095a07e4bc15","schema_version":"1.0","event_id":"sha256:19be8e2ef6053d83f183cb0ace2d268f43a62cc1478303fc7982095a07e4bc15"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS/bundle.json","state_url":"https://pith.science/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS/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":"2026-08-09T15:50:51Z","links":{"resolver":"https://pith.science/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS","bundle":"https://pith.science/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS/bundle.json","state":"https://pith.science/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G4WP3TQ5PNKJLQQWQMLC2NGUAS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:G4WP3TQ5PNKJLQQWQMLC2NGUAS","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":"56a669680359cbf5f548141ea130cd341d78baf303dd82cc195fa80b8e82b931","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T09:49:16Z","title_canon_sha256":"14d9a3ff4154effa85f4f57274e3d014f16064c646ffdd7946071cd5f3a68207"},"schema_version":"1.0","source":{"id":"2305.12870","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12870","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12870v2","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12870","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"pith_short_12","alias_value":"G4WP3TQ5PNKJ","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"pith_short_16","alias_value":"G4WP3TQ5PNKJLQQW","created_at":"2026-07-05T07:00:44Z"},{"alias_kind":"pith_short_8","alias_value":"G4WP3TQ5","created_at":"2026-07-05T07:00:44Z"}],"graph_snapshots":[{"event_id":"sha256:19be8e2ef6053d83f183cb0ace2d268f43a62cc1478303fc7982095a07e4bc15","target":"graph","created_at":"2026-07-05T07:00:44Z","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/2305.12870/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The practice of transferring knowledge from a sophisticated, proprietary large language model (LLM) to a compact, open-source LLM has garnered considerable attention. Previous works have focused on a unidirectional knowledge distillation way by aligning the responses of the student model with those of the teacher model to a set of instructions. Nevertheless, they overlooked the possibility of incorporating any reciprocal \"feedback\"--identifying challenging instructions where the student model's performance falls short--to boost the student model's proficiency iteratively. To this end, we propo","authors_text":"Chunkit Chan, Mingyang Chen, Wei Wang, Yuxin Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T09:49:16Z","title":"Lion: Adversarial Distillation of Proprietary Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12870","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:de41acfb59db3ad23a5c785580555072bd551652db31d0c70e5a43328a5e55a7","target":"record","created_at":"2026-07-05T07:00:44Z","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":"56a669680359cbf5f548141ea130cd341d78baf303dd82cc195fa80b8e82b931","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T09:49:16Z","title_canon_sha256":"14d9a3ff4154effa85f4f57274e3d014f16064c646ffdd7946071cd5f3a68207"},"schema_version":"1.0","source":{"id":"2305.12870","kind":"arxiv","version":2}},"canonical_sha256":"372cfdce1d7b5495c21683162d34d40496415a4f42f5215281dd3b00a2191124","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"372cfdce1d7b5495c21683162d34d40496415a4f42f5215281dd3b00a2191124","first_computed_at":"2026-07-05T07:00:44.591272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:44.591272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EBf74sPovXbjaIPNvaf1Fp6IglQ/gZIWN+ek7Y0i3C+B/fKVXZXUiyC4GZYi3QWk8EdkQ5X0QRxUdT1doBv9Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:44.591746Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.12870","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de41acfb59db3ad23a5c785580555072bd551652db31d0c70e5a43328a5e55a7","sha256:19be8e2ef6053d83f183cb0ace2d268f43a62cc1478303fc7982095a07e4bc15"],"state_sha256":"ccf879cda3d7120ec8ff424ccc2b4e84c34e7d0caef2407ed2d6e4562921590f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+h8JfIr6de0QgmrtQNceedXaQcddG0XO8DawF3DAhEjb5EW7q5M6KqoMF6cNSqH9fMOeL0j2Oagi2fbB8GWjCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T15:50:51.524767Z","bundle_sha256":"0e8b9cbdbd5dc88c37adbadc30efbb5dc2d2064f1635a3a4d64a2644e2cf7412"}}