{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:L4LNKUE526HMQDYWXIRQVFM6SK","short_pith_number":"pith:L4LNKUE5","canonical_record":{"source":{"id":"2607.27704","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-30T05:39:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71919be87d5973b04441e86544ebf10d65bbf9ba43371cf2459571f672841550","abstract_canon_sha256":"a286d4abf769c8e22bc5d4d8a3dfd5a900c947cfe5b6c4c8b1dd4a5b235c1eff"},"schema_version":"1.0"},"canonical_sha256":"5f16d5509dd78ec80f16ba230a959e92baa970eec5ad0460f4020f8a4ae5d401","source":{"kind":"arxiv","id":"2607.27704","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27704","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27704v1","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27704","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"pith_short_12","alias_value":"L4LNKUE526HM","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"L4LNKUE526HMQDYW","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"L4LNKUE5","created_at":"2026-07-31T01:29:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:L4LNKUE526HMQDYWXIRQVFM6SK","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27704","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-30T05:39:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71919be87d5973b04441e86544ebf10d65bbf9ba43371cf2459571f672841550","abstract_canon_sha256":"a286d4abf769c8e22bc5d4d8a3dfd5a900c947cfe5b6c4c8b1dd4a5b235c1eff"},"schema_version":"1.0"},"canonical_sha256":"5f16d5509dd78ec80f16ba230a959e92baa970eec5ad0460f4020f8a4ae5d401","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f16d5509dd78ec80f16ba230a959e92baa970eec5ad0460f4020f8a4ae5d401","last_reissued_at":"2026-07-31T01:29:58.480385Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:29:58.480385Z"},"source_kind":"arxiv","source_id":"2607.27704","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":"2026-07-31T01:29:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ozDBDSXhL94uHSjqx8GT3ThYvhgmw7xCOzG0R8FjJYAfJoIJPAKgILVXOjcH89FzZuHRIxEe3CkdwdZg7TO7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:18:40.193163Z"},"content_sha256":"2392b5bb1c9caf4d4256741ed915ba8baf28f5a1f5d3fff48149dc92218ad3d6","schema_version":"1.0","event_id":"sha256:2392b5bb1c9caf4d4256741ed915ba8baf28f5a1f5d3fff48149dc92218ad3d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:L4LNKUE526HMQDYWXIRQVFM6SK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AR","authors_text":"Byeongcheol Kim, Hoi-Jun Yoo, Jungjun Oh, Sangjin Kim, Yuseon Choi","submitted_at":"2026-07-30T05:39:58Z","abstract_excerpt":"As large language models (LLMs) continue to demonstrate exceptional capabilities across various domains, the challenge of achieving energy-efficient and accurate inference becomes increasingly critical. This work presents LightRot, a lightweight rotation scheme and dedicated hardware accelerator designed for low-bit LLM inference. The proposed architecture integrates Grouped Local Rotation (GLR) and Outlier Direction Aligning (ODA) algorithms with a hierarchical Fast Hadamard Transform (FHT)-based rotation unit to address key challenges in low-bit quantization, including the energy overhead of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27704","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/2607.27704/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":"2026-07-31T01:29:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"787whFmtGKRwRmacTUTaDn5x3vELPT5/vJG+il1yoNBLCEbjSnK89ajuceK75Ztp/zPqwD0D5dTBEpZLC33sAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:18:40.194019Z"},"content_sha256":"a7ba10240a679b590ca3d190a1b893e965a0134e2ef5e8730fa6170bdbb34a4b","schema_version":"1.0","event_id":"sha256:a7ba10240a679b590ca3d190a1b893e965a0134e2ef5e8730fa6170bdbb34a4b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L4LNKUE526HMQDYWXIRQVFM6SK/bundle.json","state_url":"https://pith.science/pith/L4LNKUE526HMQDYWXIRQVFM6SK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L4LNKUE526HMQDYWXIRQVFM6SK/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":"2026-08-04T05:18:40Z","links":{"resolver":"https://pith.science/pith/L4LNKUE526HMQDYWXIRQVFM6SK","bundle":"https://pith.science/pith/L4LNKUE526HMQDYWXIRQVFM6SK/bundle.json","state":"https://pith.science/pith/L4LNKUE526HMQDYWXIRQVFM6SK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L4LNKUE526HMQDYWXIRQVFM6SK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:L4LNKUE526HMQDYWXIRQVFM6SK","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":"a286d4abf769c8e22bc5d4d8a3dfd5a900c947cfe5b6c4c8b1dd4a5b235c1eff","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-30T05:39:58Z","title_canon_sha256":"71919be87d5973b04441e86544ebf10d65bbf9ba43371cf2459571f672841550"},"schema_version":"1.0","source":{"id":"2607.27704","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27704","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27704v1","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27704","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"pith_short_12","alias_value":"L4LNKUE526HM","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"L4LNKUE526HMQDYW","created_at":"2026-07-31T01:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"L4LNKUE5","created_at":"2026-07-31T01:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:a7ba10240a679b590ca3d190a1b893e965a0134e2ef5e8730fa6170bdbb34a4b","target":"graph","created_at":"2026-07-31T01:29:58Z","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/2607.27704/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As large language models (LLMs) continue to demonstrate exceptional capabilities across various domains, the challenge of achieving energy-efficient and accurate inference becomes increasingly critical. This work presents LightRot, a lightweight rotation scheme and dedicated hardware accelerator designed for low-bit LLM inference. The proposed architecture integrates Grouped Local Rotation (GLR) and Outlier Direction Aligning (ODA) algorithms with a hierarchical Fast Hadamard Transform (FHT)-based rotation unit to address key challenges in low-bit quantization, including the energy overhead of","authors_text":"Byeongcheol Kim, Hoi-Jun Yoo, Jungjun Oh, Sangjin Kim, Yuseon Choi","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-30T05:39:58Z","title":"LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27704","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":"sha256:2392b5bb1c9caf4d4256741ed915ba8baf28f5a1f5d3fff48149dc92218ad3d6","target":"record","created_at":"2026-07-31T01:29:58Z","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":"a286d4abf769c8e22bc5d4d8a3dfd5a900c947cfe5b6c4c8b1dd4a5b235c1eff","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-30T05:39:58Z","title_canon_sha256":"71919be87d5973b04441e86544ebf10d65bbf9ba43371cf2459571f672841550"},"schema_version":"1.0","source":{"id":"2607.27704","kind":"arxiv","version":1}},"canonical_sha256":"5f16d5509dd78ec80f16ba230a959e92baa970eec5ad0460f4020f8a4ae5d401","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f16d5509dd78ec80f16ba230a959e92baa970eec5ad0460f4020f8a4ae5d401","first_computed_at":"2026-07-31T01:29:58.480385Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:29:58.480385Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27704","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2392b5bb1c9caf4d4256741ed915ba8baf28f5a1f5d3fff48149dc92218ad3d6","sha256:a7ba10240a679b590ca3d190a1b893e965a0134e2ef5e8730fa6170bdbb34a4b"],"state_sha256":"5d992d603da27fdb6238bb9e95e1c66d2c1bd6a855af27c1644956a4f1f0189e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/x0GZ7mu3j+zYpxA/ao8bo39DNpProWT7aXpwfDI+QtcydYioPVvaKOOMiOQAR7a73DTHnPgvvwNUE6dfI7AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T05:18:40.200921Z","bundle_sha256":"6f102139fd6f43d640becbf6e1895b9a0585a7e5eb03732d37960750581dea47"}}