{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RXX4XOOLCM2YVQBG4YLEU4FSIL","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":"002d8b7babe4942791a7b21e459837d8d50fd4c20b2cc7b4df8accd28971e996","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T03:31:47Z","title_canon_sha256":"c341f58eedad7b92f4abdbdbba1e144d440f45354302686093d16aef6abb9ff8"},"schema_version":"1.0","source":{"id":"2311.01689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01689","created_at":"2026-07-05T07:08:33Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01689v1","created_at":"2026-07-05T07:08:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01689","created_at":"2026-07-05T07:08:33Z"},{"alias_kind":"pith_short_12","alias_value":"RXX4XOOLCM2Y","created_at":"2026-07-05T07:08:33Z"},{"alias_kind":"pith_short_16","alias_value":"RXX4XOOLCM2YVQBG","created_at":"2026-07-05T07:08:33Z"},{"alias_kind":"pith_short_8","alias_value":"RXX4XOOL","created_at":"2026-07-05T07:08:33Z"}],"graph_snapshots":[{"event_id":"sha256:4059a516bcaee24454c79661bd4923e2214a9fc40e441656ffdfda98981ec65b","target":"graph","created_at":"2026-07-05T07:08:33Z","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/2311.01689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-Free Knowledge Distillation (DFKD) plays a vital role in compressing the model when original training data is unavailable. Previous works for DFKD in NLP mainly focus on distilling encoder-only structures like BERT on classification tasks, which overlook the notable progress of generative language modeling. In this work, we propose a novel DFKD framework, namely DFKD-T$^{3}$, where the pretrained generative language model can also serve as a controllable data generator for model compression. This novel framework DFKD-T$^{3}$ leads to an end-to-end learnable text-to-text framework to trans","authors_text":"Hailin Hu, Qinghua Zhang, Tianyu Guo, Xinduo Liu, Yunhe Wang, Zheyuan Bai","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T03:31:47Z","title":"Data-Free Distillation of Language Model by Text-to-Text Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01689","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:de673f82e57d688467f556ed1d2eeb9e4f65fca74181e9f8c4ddeb806c983342","target":"record","created_at":"2026-07-05T07:08:33Z","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":"002d8b7babe4942791a7b21e459837d8d50fd4c20b2cc7b4df8accd28971e996","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T03:31:47Z","title_canon_sha256":"c341f58eedad7b92f4abdbdbba1e144d440f45354302686093d16aef6abb9ff8"},"schema_version":"1.0","source":{"id":"2311.01689","kind":"arxiv","version":1}},"canonical_sha256":"8defcbb9cb13358ac026e6164a70b242e9fb2b94d0688ba196e401216e46bd2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8defcbb9cb13358ac026e6164a70b242e9fb2b94d0688ba196e401216e46bd2c","first_computed_at":"2026-07-05T07:08:33.110215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:33.110215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HTUGcik/iped4wtULBqo/6mXE8R58/5GqyvmhMl0/MMITmoV8xvTerYBqZYB/yGpIM7cTkUvoCZCJbLa+moUBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:33.110579Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de673f82e57d688467f556ed1d2eeb9e4f65fca74181e9f8c4ddeb806c983342","sha256:4059a516bcaee24454c79661bd4923e2214a9fc40e441656ffdfda98981ec65b"],"state_sha256":"862341c9808fedfab98b5491ec9a6cb8caf6aaaadbeb6ff03c63ac10ed9f1c83"}