{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2OHSY34GUON3HY7OMJUSDFTONZ","short_pith_number":"pith:2OHSY34G","canonical_record":{"source":{"id":"2305.14864","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-24T08:18:35Z","cross_cats_sorted":[],"title_canon_sha256":"d2d7698d48f870fb692233410c42ab13cbc981c5fe2a7e06f67852f82c4c6e77","abstract_canon_sha256":"fca9dc2df029da3eba3ed0e54ed50ace0d341222c4979913f27106ebd35ebd91"},"schema_version":"1.0"},"canonical_sha256":"d38f2c6f86a39bb3e3ee626921966e6e5b341ea4e9be5b13cd56cbabfecac8cd","source":{"kind":"arxiv","id":"2305.14864","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14864","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14864v3","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14864","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"pith_short_12","alias_value":"2OHSY34GUON3","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"pith_short_16","alias_value":"2OHSY34GUON3HY7O","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"pith_short_8","alias_value":"2OHSY34G","created_at":"2026-07-05T08:41:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2OHSY34GUON3HY7OMJUSDFTONZ","target":"record","payload":{"canonical_record":{"source":{"id":"2305.14864","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-24T08:18:35Z","cross_cats_sorted":[],"title_canon_sha256":"d2d7698d48f870fb692233410c42ab13cbc981c5fe2a7e06f67852f82c4c6e77","abstract_canon_sha256":"fca9dc2df029da3eba3ed0e54ed50ace0d341222c4979913f27106ebd35ebd91"},"schema_version":"1.0"},"canonical_sha256":"d38f2c6f86a39bb3e3ee626921966e6e5b341ea4e9be5b13cd56cbabfecac8cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:41:59.066087Z","signature_b64":"zGNIBlq32yhzEDJGs20TWcyuHEcyEVRzHBA+e5yLNfW9uzOMYZX7NKdmrNMEPKUHBwyVkCD+qAAT2bRz3C8tDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d38f2c6f86a39bb3e3ee626921966e6e5b341ea4e9be5b13cd56cbabfecac8cd","last_reissued_at":"2026-07-05T08:41:59.065676Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:41:59.065676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.14864","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:41:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XMfJG2BXh3WvsHjBNqhpKzDY2f3L09naVa9eIHgGafO92NBr5TyCTpBS1IzWHpwPiGsNnGo2pE53xmuKZsrEDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T20:19:45.581067Z"},"content_sha256":"16b8c2419d00b498739656cb66ad36c01b872a2e42f29063d89b1ae4ecec3c81","schema_version":"1.0","event_id":"sha256:16b8c2419d00b498739656cb66ad36c01b872a2e42f29063d89b1ae4ecec3c81"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2OHSY34GUON3HY7OMJUSDFTONZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Just CHOP: Embarrassingly Simple LLM Compression","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ananya Harsh Jha, Dirk Groeneveld, Emma Strubell, Evan Pete Walsh, Iz Beltagy, Tom Sherborne","submitted_at":"2023-05-24T08:18:35Z","abstract_excerpt":"Large language models (LLMs) enable unparalleled few- and zero-shot reasoning capabilities but at a high computational footprint. A growing assortment of methods for compression promises to reduce the computational burden of LLMs in deployment, but so far, only quantization approaches have been demonstrated to be effective for LLM compression while maintaining zero-shot performance. A critical step in the compression process, the pretrain-then-finetune paradigm, has largely been overlooked when adapting existing pruning strategies to LLMs or proposing new ones. In this work, we show that embar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14864","kind":"arxiv","version":3},"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/2305.14864/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":"2026-07-05T08:41:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bAyhYeBCkKQnI89fjAXiuOA0/0+s3wemibGKKvzrJtNdvzKr/91SY8m5Y8nXtkHEhWu5YD+X/YpqkpjkfYDYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T20:19:45.581571Z"},"content_sha256":"4f6e159534569b429d57d73871ffa67e7d8d29e3735de1f9c18094ac44698068","schema_version":"1.0","event_id":"sha256:4f6e159534569b429d57d73871ffa67e7d8d29e3735de1f9c18094ac44698068"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2OHSY34GUON3HY7OMJUSDFTONZ/bundle.json","state_url":"https://pith.science/pith/2OHSY34GUON3HY7OMJUSDFTONZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2OHSY34GUON3HY7OMJUSDFTONZ/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":"2026-08-23T20:19:45Z","links":{"resolver":"https://pith.science/pith/2OHSY34GUON3HY7OMJUSDFTONZ","bundle":"https://pith.science/pith/2OHSY34GUON3HY7OMJUSDFTONZ/bundle.json","state":"https://pith.science/pith/2OHSY34GUON3HY7OMJUSDFTONZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2OHSY34GUON3HY7OMJUSDFTONZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2OHSY34GUON3HY7OMJUSDFTONZ","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":"fca9dc2df029da3eba3ed0e54ed50ace0d341222c4979913f27106ebd35ebd91","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-24T08:18:35Z","title_canon_sha256":"d2d7698d48f870fb692233410c42ab13cbc981c5fe2a7e06f67852f82c4c6e77"},"schema_version":"1.0","source":{"id":"2305.14864","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14864","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14864v3","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14864","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"pith_short_12","alias_value":"2OHSY34GUON3","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"pith_short_16","alias_value":"2OHSY34GUON3HY7O","created_at":"2026-07-05T08:41:59Z"},{"alias_kind":"pith_short_8","alias_value":"2OHSY34G","created_at":"2026-07-05T08:41:59Z"}],"graph_snapshots":[{"event_id":"sha256:4f6e159534569b429d57d73871ffa67e7d8d29e3735de1f9c18094ac44698068","target":"graph","created_at":"2026-07-05T08:41:59Z","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/2305.14864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) enable unparalleled few- and zero-shot reasoning capabilities but at a high computational footprint. A growing assortment of methods for compression promises to reduce the computational burden of LLMs in deployment, but so far, only quantization approaches have been demonstrated to be effective for LLM compression while maintaining zero-shot performance. A critical step in the compression process, the pretrain-then-finetune paradigm, has largely been overlooked when adapting existing pruning strategies to LLMs or proposing new ones. In this work, we show that embar","authors_text":"Ananya Harsh Jha, Dirk Groeneveld, Emma Strubell, Evan Pete Walsh, Iz Beltagy, Tom Sherborne","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-24T08:18:35Z","title":"Just CHOP: Embarrassingly Simple LLM Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14864","kind":"arxiv","version":3},"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":"sha256:16b8c2419d00b498739656cb66ad36c01b872a2e42f29063d89b1ae4ecec3c81","target":"record","created_at":"2026-07-05T08:41:59Z","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":"fca9dc2df029da3eba3ed0e54ed50ace0d341222c4979913f27106ebd35ebd91","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-24T08:18:35Z","title_canon_sha256":"d2d7698d48f870fb692233410c42ab13cbc981c5fe2a7e06f67852f82c4c6e77"},"schema_version":"1.0","source":{"id":"2305.14864","kind":"arxiv","version":3}},"canonical_sha256":"d38f2c6f86a39bb3e3ee626921966e6e5b341ea4e9be5b13cd56cbabfecac8cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d38f2c6f86a39bb3e3ee626921966e6e5b341ea4e9be5b13cd56cbabfecac8cd","first_computed_at":"2026-07-05T08:41:59.065676Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:59.065676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zGNIBlq32yhzEDJGs20TWcyuHEcyEVRzHBA+e5yLNfW9uzOMYZX7NKdmrNMEPKUHBwyVkCD+qAAT2bRz3C8tDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:59.066087Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.14864","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16b8c2419d00b498739656cb66ad36c01b872a2e42f29063d89b1ae4ecec3c81","sha256:4f6e159534569b429d57d73871ffa67e7d8d29e3735de1f9c18094ac44698068"],"state_sha256":"46a02ceb9d134ef82d7dbfc1e2ecdc1d925219d397c9195062b2c5e37d88894e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mfISg+v+9bpt0jzASEX8vHdr9ZpmpbUvxWBNXVyipPH5OaTovIGGQfQ73cJRBio9GinNMdcYmUUFaG+V0apuBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T20:19:45.585666Z","bundle_sha256":"fbc641f93fd5e3829f9298d15825824e3bf130854b79d428dba94d9e85606226"}}