{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QWMW4KAYPTMLH6AHO2LCJEI3OP","short_pith_number":"pith:QWMW4KAY","canonical_record":{"source":{"id":"2412.14033","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T16:52:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"fc7d2530048148e3cd4f7b3042e9b2ca20aeb80ef4a60761b0228ef42d3e463a","abstract_canon_sha256":"fb7b022af97757952c407cee310fda204fc6d8b5e65c07cf98dea81dfdadf044"},"schema_version":"1.0"},"canonical_sha256":"85996e28187cd8b3f807769624911b73d37c2b3128d522fcd7e20c4055c9e912","source":{"kind":"arxiv","id":"2412.14033","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14033","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14033v1","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14033","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"pith_short_12","alias_value":"QWMW4KAYPTML","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"pith_short_16","alias_value":"QWMW4KAYPTMLH6AH","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"pith_short_8","alias_value":"QWMW4KAY","created_at":"2026-07-05T09:51:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QWMW4KAYPTMLH6AHO2LCJEI3OP","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14033","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T16:52:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"fc7d2530048148e3cd4f7b3042e9b2ca20aeb80ef4a60761b0228ef42d3e463a","abstract_canon_sha256":"fb7b022af97757952c407cee310fda204fc6d8b5e65c07cf98dea81dfdadf044"},"schema_version":"1.0"},"canonical_sha256":"85996e28187cd8b3f807769624911b73d37c2b3128d522fcd7e20c4055c9e912","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:12.589149Z","signature_b64":"+0XMLujB59BJKQkfCVRWqv/BpH5VTjndF59/+8uHyLeUMcQJMKogpKNYRbpqoyAbujh4Els8f8BVXiWqBWa5Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85996e28187cd8b3f807769624911b73d37c2b3128d522fcd7e20c4055c9e912","last_reissued_at":"2026-07-05T09:51:12.588637Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:12.588637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14033","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":"2026-07-05T09:51:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DpC4+u+FAlNBtcFcWbMOM325Y8Jw6iAWhH7t1p6RHkfFmwapgy4Cv81/B/d3bU1PJyW+kpKlCs2GZsvtOsjaAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:08:37.258987Z"},"content_sha256":"52bda66e59eaee09709d694e98189c3322bd536d4cc27f4ce9908eb4edd5f9b4","schema_version":"1.0","event_id":"sha256:52bda66e59eaee09709d694e98189c3322bd536d4cc27f4ce9908eb4edd5f9b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QWMW4KAYPTMLH6AHO2LCJEI3OP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hansel: Output Length Controlling Framework for Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Hyeonmok Ko, Junhyun Lee, Seoha Song","submitted_at":"2024-12-18T16:52:38Z","abstract_excerpt":"Despite the great success of large language models (LLMs), efficiently controlling the length of the output sequence still remains a challenge. In this paper, we propose Hansel, an efficient framework for length control in LLMs without affecting its generation ability. Hansel utilizes periodically outputted hidden special tokens to keep track of the remaining target length of the output sequence. Together with techniques to avoid abrupt termination of the output, this seemingly simple method proved to be efficient and versatile, while not harming the coherency and fluency of the generated text"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14033","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/2412.14033/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":"2026-07-05T09:51:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ro4WQw/2R9W39VFo/zM76Wnkgb+L6icj++TpgHuEM+IxI7WntsvuAAaGG+QDsVhY8whdN17ylgTXL1N0r2GMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:08:37.259374Z"},"content_sha256":"e593a4cfa7600f06455b54a08b80676ae9ca175650f60fbe55168f1df7840edc","schema_version":"1.0","event_id":"sha256:e593a4cfa7600f06455b54a08b80676ae9ca175650f60fbe55168f1df7840edc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP/bundle.json","state_url":"https://pith.science/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP/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":"2026-07-07T12:08:37Z","links":{"resolver":"https://pith.science/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP","bundle":"https://pith.science/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP/bundle.json","state":"https://pith.science/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QWMW4KAYPTMLH6AHO2LCJEI3OP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QWMW4KAYPTMLH6AHO2LCJEI3OP","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":"fb7b022af97757952c407cee310fda204fc6d8b5e65c07cf98dea81dfdadf044","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T16:52:38Z","title_canon_sha256":"fc7d2530048148e3cd4f7b3042e9b2ca20aeb80ef4a60761b0228ef42d3e463a"},"schema_version":"1.0","source":{"id":"2412.14033","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14033","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14033v1","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14033","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"pith_short_12","alias_value":"QWMW4KAYPTML","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"pith_short_16","alias_value":"QWMW4KAYPTMLH6AH","created_at":"2026-07-05T09:51:12Z"},{"alias_kind":"pith_short_8","alias_value":"QWMW4KAY","created_at":"2026-07-05T09:51:12Z"}],"graph_snapshots":[{"event_id":"sha256:e593a4cfa7600f06455b54a08b80676ae9ca175650f60fbe55168f1df7840edc","target":"graph","created_at":"2026-07-05T09:51:12Z","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/2412.14033/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the great success of large language models (LLMs), efficiently controlling the length of the output sequence still remains a challenge. In this paper, we propose Hansel, an efficient framework for length control in LLMs without affecting its generation ability. Hansel utilizes periodically outputted hidden special tokens to keep track of the remaining target length of the output sequence. Together with techniques to avoid abrupt termination of the output, this seemingly simple method proved to be efficient and versatile, while not harming the coherency and fluency of the generated text","authors_text":"Hyeonmok Ko, Junhyun Lee, Seoha Song","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T16:52:38Z","title":"Hansel: Output Length Controlling Framework for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14033","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":"sha256:52bda66e59eaee09709d694e98189c3322bd536d4cc27f4ce9908eb4edd5f9b4","target":"record","created_at":"2026-07-05T09:51:12Z","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":"fb7b022af97757952c407cee310fda204fc6d8b5e65c07cf98dea81dfdadf044","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T16:52:38Z","title_canon_sha256":"fc7d2530048148e3cd4f7b3042e9b2ca20aeb80ef4a60761b0228ef42d3e463a"},"schema_version":"1.0","source":{"id":"2412.14033","kind":"arxiv","version":1}},"canonical_sha256":"85996e28187cd8b3f807769624911b73d37c2b3128d522fcd7e20c4055c9e912","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85996e28187cd8b3f807769624911b73d37c2b3128d522fcd7e20c4055c9e912","first_computed_at":"2026-07-05T09:51:12.588637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:12.588637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+0XMLujB59BJKQkfCVRWqv/BpH5VTjndF59/+8uHyLeUMcQJMKogpKNYRbpqoyAbujh4Els8f8BVXiWqBWa5Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:12.589149Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14033","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52bda66e59eaee09709d694e98189c3322bd536d4cc27f4ce9908eb4edd5f9b4","sha256:e593a4cfa7600f06455b54a08b80676ae9ca175650f60fbe55168f1df7840edc"],"state_sha256":"cbc249d8aed0416e8caea446ec3559706e334c9bcbfd755c0d1b8eeaa1e808fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KP50kmY+0FbBJalE1b9ISpWWy8tmzK51HQApPWDIrRcOef0Rna8xTqntchLYYjlD9n8r/Q3aDztSOPZZu8KPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:08:37.261684Z","bundle_sha256":"90b26ef886ee8c263c685803237b11c359a63cf8224047c0075a3d2eec06a41a"}}