{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UPY2NWDH6Q5JHWT54SJ72S6BIF","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":"9d631ac0a4e5ce23a4887281f1e82071427cade95bf263bc7946f6cc0f92b263","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-26T05:19:24Z","title_canon_sha256":"782a67002e67759557bd45bc7fc2968ed2c718113e4de45a9b0c65bbac3511ec"},"schema_version":"1.0","source":{"id":"2305.16635","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.16635","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"arxiv_version","alias_value":"2305.16635v4","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.16635","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"pith_short_12","alias_value":"UPY2NWDH6Q5J","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"pith_short_16","alias_value":"UPY2NWDH6Q5JHWT5","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"pith_short_8","alias_value":"UPY2NWDH","created_at":"2026-07-05T08:56:56Z"}],"graph_snapshots":[{"event_id":"sha256:d87e2934fe9bf23fc7e98f28c07792544df73f718778e8de3bae6c1d3cae9ff8","target":"graph","created_at":"2026-07-05T08:56:56Z","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/2305.16635/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Impossible Distillation, a novel framework for paraphrasing and sentence summarization, that distills a high-quality dataset and model from a low-quality teacher that itself cannot perform these tasks. Unlike prior works that rely on an extreme-scale teacher model (e.g., GPT3) or task-specific architecture, we hypothesize and verify the paraphrastic proximity intrinsic to pre-trained LMs (e.g., GPT2), where paraphrases occupy a proximal subspace in the LM distribution. By identifying and distilling generations from these subspaces, Impossible Distillation produces a high-quality dat","authors_text":"Faeze Brahman, Jaehun Jung, Jillian Fisher, Liwei Jiang, Peter West, Taylor Sorensen, Ximing Lu, Yejin Choi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-26T05:19:24Z","title":"Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.16635","kind":"arxiv","version":4},"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:ed507e0c59984f181f01a01eb997db50472166ebb45c6d55f5056d2e76458661","target":"record","created_at":"2026-07-05T08:56:56Z","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":"9d631ac0a4e5ce23a4887281f1e82071427cade95bf263bc7946f6cc0f92b263","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-26T05:19:24Z","title_canon_sha256":"782a67002e67759557bd45bc7fc2968ed2c718113e4de45a9b0c65bbac3511ec"},"schema_version":"1.0","source":{"id":"2305.16635","kind":"arxiv","version":4}},"canonical_sha256":"a3f1a6d867f43a93da7de493fd4bc141709bb06ce249ec3c79773f260973c87a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3f1a6d867f43a93da7de493fd4bc141709bb06ce249ec3c79773f260973c87a","first_computed_at":"2026-07-05T08:56:56.057224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:56.057224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QJifDRNcZ9S9K+Tbk6kn+IG93tW7OZ7gwDdx/7Fn9D2PZaeioSGGWpejCgfpD1Mc+PbVUl70/buVq8BaH9TsCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:56.057649Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.16635","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed507e0c59984f181f01a01eb997db50472166ebb45c6d55f5056d2e76458661","sha256:d87e2934fe9bf23fc7e98f28c07792544df73f718778e8de3bae6c1d3cae9ff8"],"state_sha256":"96e7368ba4bdf4f528f8bce6636e740b95e2c487ebd0706eb69d2814c3f44b85"}