{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TWYCCWAS7T6UFVINAK6XHRYCGY","short_pith_number":"pith:TWYCCWAS","canonical_record":{"source":{"id":"2311.04142","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-07T17:13:40Z","cross_cats_sorted":[],"title_canon_sha256":"92048cd72d0b5c659067b02277506b9f6074df4831367e8f28ef718a1ba824af","abstract_canon_sha256":"89df8f6d43fad350730438a3974e3110aa533ce168fc7d6896d88d3a71a62e27"},"schema_version":"1.0"},"canonical_sha256":"9db0215812fcfd42d50d02bd73c702361ffbdc4bfa80bb12d40c97b3a5fb06fd","source":{"kind":"arxiv","id":"2311.04142","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.04142","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"arxiv_version","alias_value":"2311.04142v1","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04142","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"pith_short_12","alias_value":"TWYCCWAS7T6U","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"pith_short_16","alias_value":"TWYCCWAS7T6UFVIN","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"pith_short_8","alias_value":"TWYCCWAS","created_at":"2026-07-05T07:10:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TWYCCWAS7T6UFVINAK6XHRYCGY","target":"record","payload":{"canonical_record":{"source":{"id":"2311.04142","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-07T17:13:40Z","cross_cats_sorted":[],"title_canon_sha256":"92048cd72d0b5c659067b02277506b9f6074df4831367e8f28ef718a1ba824af","abstract_canon_sha256":"89df8f6d43fad350730438a3974e3110aa533ce168fc7d6896d88d3a71a62e27"},"schema_version":"1.0"},"canonical_sha256":"9db0215812fcfd42d50d02bd73c702361ffbdc4bfa80bb12d40c97b3a5fb06fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:11.431700Z","signature_b64":"RBxZnnxP6c1Z37SQRHEEsDOAei0Jq8RsiLMKgjiqzGCuCHIVKHGM3ijfg1BJQrz8QgztpRYIb/G49AnWSmT1Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9db0215812fcfd42d50d02bd73c702361ffbdc4bfa80bb12d40c97b3a5fb06fd","last_reissued_at":"2026-07-05T07:10:11.431254Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:11.431254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.04142","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:10:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jrpw7JZ1b0fTSJIbkF4j85JrWyH9rvpbfjkuzdxM+tDYWuhtnxnvgAavLgeO/nbx8WhsXSOcxlUZ46YGdugbDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:48:44.206487Z"},"content_sha256":"e0e1773ff83a1e9f145dd4a37a75948082c910ee9865b4e3339b0250e32491e1","schema_version":"1.0","event_id":"sha256:e0e1773ff83a1e9f145dd4a37a75948082c910ee9865b4e3339b0250e32491e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TWYCCWAS7T6UFVINAK6XHRYCGY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"What is Lost in Knowledge Distillation?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Manas Mohanty, Peyman Passban, Tanya Roosta","submitted_at":"2023-11-07T17:13:40Z","abstract_excerpt":"Deep neural networks (DNNs) have improved NLP tasks significantly, but training and maintaining such networks could be costly. Model compression techniques, such as, knowledge distillation (KD), have been proposed to address the issue; however, the compression process could be lossy. Motivated by this, our work investigates how a distilled student model differs from its teacher, if the distillation process causes any information losses, and if the loss follows a specific pattern. Our experiments aim to shed light on the type of tasks might be less or more sensitive to KD by reporting data poin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04142","kind":"arxiv","version":1},"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/2311.04142/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":"2026-07-05T07:10:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rbsqKLVy+QviXLLlht3WLKJPERCuD3PT5etJR/6T3VkFgJOOaEIss7TqXIVsdmu4U4faGyiupPZuLutbN65bBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:48:44.207125Z"},"content_sha256":"10a62e758717ad6ab36c7f3d0cf39e6c965663e39c64161cf4412e1aac571a94","schema_version":"1.0","event_id":"sha256:10a62e758717ad6ab36c7f3d0cf39e6c965663e39c64161cf4412e1aac571a94"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TWYCCWAS7T6UFVINAK6XHRYCGY/bundle.json","state_url":"https://pith.science/pith/TWYCCWAS7T6UFVINAK6XHRYCGY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TWYCCWAS7T6UFVINAK6XHRYCGY/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":"2026-08-18T06:48:44Z","links":{"resolver":"https://pith.science/pith/TWYCCWAS7T6UFVINAK6XHRYCGY","bundle":"https://pith.science/pith/TWYCCWAS7T6UFVINAK6XHRYCGY/bundle.json","state":"https://pith.science/pith/TWYCCWAS7T6UFVINAK6XHRYCGY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TWYCCWAS7T6UFVINAK6XHRYCGY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TWYCCWAS7T6UFVINAK6XHRYCGY","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":"89df8f6d43fad350730438a3974e3110aa533ce168fc7d6896d88d3a71a62e27","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-07T17:13:40Z","title_canon_sha256":"92048cd72d0b5c659067b02277506b9f6074df4831367e8f28ef718a1ba824af"},"schema_version":"1.0","source":{"id":"2311.04142","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.04142","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"arxiv_version","alias_value":"2311.04142v1","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04142","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"pith_short_12","alias_value":"TWYCCWAS7T6U","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"pith_short_16","alias_value":"TWYCCWAS7T6UFVIN","created_at":"2026-07-05T07:10:11Z"},{"alias_kind":"pith_short_8","alias_value":"TWYCCWAS","created_at":"2026-07-05T07:10:11Z"}],"graph_snapshots":[{"event_id":"sha256:10a62e758717ad6ab36c7f3d0cf39e6c965663e39c64161cf4412e1aac571a94","target":"graph","created_at":"2026-07-05T07:10:11Z","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/2311.04142/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural networks (DNNs) have improved NLP tasks significantly, but training and maintaining such networks could be costly. Model compression techniques, such as, knowledge distillation (KD), have been proposed to address the issue; however, the compression process could be lossy. Motivated by this, our work investigates how a distilled student model differs from its teacher, if the distillation process causes any information losses, and if the loss follows a specific pattern. Our experiments aim to shed light on the type of tasks might be less or more sensitive to KD by reporting data poin","authors_text":"Manas Mohanty, Peyman Passban, Tanya Roosta","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-07T17:13:40Z","title":"What is Lost in Knowledge Distillation?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04142","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:e0e1773ff83a1e9f145dd4a37a75948082c910ee9865b4e3339b0250e32491e1","target":"record","created_at":"2026-07-05T07:10:11Z","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":"89df8f6d43fad350730438a3974e3110aa533ce168fc7d6896d88d3a71a62e27","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-07T17:13:40Z","title_canon_sha256":"92048cd72d0b5c659067b02277506b9f6074df4831367e8f28ef718a1ba824af"},"schema_version":"1.0","source":{"id":"2311.04142","kind":"arxiv","version":1}},"canonical_sha256":"9db0215812fcfd42d50d02bd73c702361ffbdc4bfa80bb12d40c97b3a5fb06fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9db0215812fcfd42d50d02bd73c702361ffbdc4bfa80bb12d40c97b3a5fb06fd","first_computed_at":"2026-07-05T07:10:11.431254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:11.431254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RBxZnnxP6c1Z37SQRHEEsDOAei0Jq8RsiLMKgjiqzGCuCHIVKHGM3ijfg1BJQrz8QgztpRYIb/G49AnWSmT1Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:11.431700Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.04142","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0e1773ff83a1e9f145dd4a37a75948082c910ee9865b4e3339b0250e32491e1","sha256:10a62e758717ad6ab36c7f3d0cf39e6c965663e39c64161cf4412e1aac571a94"],"state_sha256":"5135ea99c3826c82c6d1b15c23a87815e78206c814e16d25bf486ad6c5ad4603"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"01wTTs9FerEimM+rtPTutIIvRqJrbeup3c/3MNxS2Dzol7E7ZaPFS8832CtQVgorDjHb3nwx6ZJWnIw9FhYWCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:48:44.216374Z","bundle_sha256":"cd659cef06e3a460b4a6ce12d47a86438254948f6473792b667c32ad6781f6ad"}}