{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WSOWQIQPHHO3XZWQXSPXWEEIEN","short_pith_number":"pith:WSOWQIQP","canonical_record":{"source":{"id":"2312.05693","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-09T22:12:52Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"494e2bbcef0499a273624eda184df283fac666eeea9e5bd5bc119a69e85019f7","abstract_canon_sha256":"9928d180b6504a4e73145c233bb35c99dcb4c431cc0fa668a51999752e28360a"},"schema_version":"1.0"},"canonical_sha256":"b49d68220f39ddbbe6d0bc9f7b10882379b98afc1f24a2e653e194729707f74a","source":{"kind":"arxiv","id":"2312.05693","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05693","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05693v2","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05693","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"pith_short_12","alias_value":"WSOWQIQPHHO3","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"pith_short_16","alias_value":"WSOWQIQPHHO3XZWQ","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"pith_short_8","alias_value":"WSOWQIQP","created_at":"2026-07-05T10:51:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WSOWQIQPHHO3XZWQXSPXWEEIEN","target":"record","payload":{"canonical_record":{"source":{"id":"2312.05693","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-09T22:12:52Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"494e2bbcef0499a273624eda184df283fac666eeea9e5bd5bc119a69e85019f7","abstract_canon_sha256":"9928d180b6504a4e73145c233bb35c99dcb4c431cc0fa668a51999752e28360a"},"schema_version":"1.0"},"canonical_sha256":"b49d68220f39ddbbe6d0bc9f7b10882379b98afc1f24a2e653e194729707f74a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:19.602421Z","signature_b64":"MPVTckrkTBGUOCuY/bk80hfkNnHLb9CN8yz89QhFfxZG/kjlAdzyPluwiiRgaqGu7yKiOX9j0MPq7HkAo+//Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b49d68220f39ddbbe6d0bc9f7b10882379b98afc1f24a2e653e194729707f74a","last_reissued_at":"2026-07-05T10:51:19.601919Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:19.601919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.05693","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:51:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Lo8oXUDDd7Z2svtv+YmHLPzzq5EDdqgLGs+KESQPCrBUWKFwnHYzNI+LzQieXFHj6U4//TPIDwBkGvzOs9xAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T10:08:53.844652Z"},"content_sha256":"2a3a994c4a95c8255001c232db6da9f17b4ff3d51375712c89b9e1c661fc8e2c","schema_version":"1.0","event_id":"sha256:2a3a994c4a95c8255001c232db6da9f17b4ff3d51375712c89b9e1c661fc8e2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WSOWQIQPHHO3XZWQXSPXWEEIEN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Chao Wu, Lei Lu, Ming Lin, Peiyan Dong, Xuan Shen, Yanzhi Wang, Zhengang Li, Zhenglun Kong","submitted_at":"2023-12-09T22:12:52Z","abstract_excerpt":"Large Language Models (LLMs) stand out for their impressive performance in intricate language modeling tasks. However, their demanding computational and memory needs pose obstacles for broad use on edge devices. Quantization is then introduced to boost LLMs' on-device efficiency. Recent works show that 8-bit or lower weight quantization is feasible with minimal impact on end-to-end task performance, while the activation is still not quantized. On the other hand, mainstream commodity edge devices still struggle to execute these sub-8-bit quantized networks effectively. In this paper, we propose"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05693","kind":"arxiv","version":2},"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/2312.05693/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":"2026-07-05T10:51:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bmXs3znLPWyfEFmGgAmqECUyWCBTWZAcQ+lK5h2nypOyjo6XojqvgxM1LdZ23FnqwLkNxPMeEP6cAGH0LCgbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T10:08:53.845168Z"},"content_sha256":"c46b89a3a9589da6d2e23c8efaeb9f8028c39bc74c208fca78d611757dfda3fa","schema_version":"1.0","event_id":"sha256:c46b89a3a9589da6d2e23c8efaeb9f8028c39bc74c208fca78d611757dfda3fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN/bundle.json","state_url":"https://pith.science/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN/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":"2026-08-19T10:08:53Z","links":{"resolver":"https://pith.science/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN","bundle":"https://pith.science/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN/bundle.json","state":"https://pith.science/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WSOWQIQPHHO3XZWQXSPXWEEIEN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WSOWQIQPHHO3XZWQXSPXWEEIEN","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":"9928d180b6504a4e73145c233bb35c99dcb4c431cc0fa668a51999752e28360a","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-09T22:12:52Z","title_canon_sha256":"494e2bbcef0499a273624eda184df283fac666eeea9e5bd5bc119a69e85019f7"},"schema_version":"1.0","source":{"id":"2312.05693","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05693","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05693v2","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05693","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"pith_short_12","alias_value":"WSOWQIQPHHO3","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"pith_short_16","alias_value":"WSOWQIQPHHO3XZWQ","created_at":"2026-07-05T10:51:19Z"},{"alias_kind":"pith_short_8","alias_value":"WSOWQIQP","created_at":"2026-07-05T10:51:19Z"}],"graph_snapshots":[{"event_id":"sha256:c46b89a3a9589da6d2e23c8efaeb9f8028c39bc74c208fca78d611757dfda3fa","target":"graph","created_at":"2026-07-05T10:51:19Z","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/2312.05693/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) stand out for their impressive performance in intricate language modeling tasks. However, their demanding computational and memory needs pose obstacles for broad use on edge devices. Quantization is then introduced to boost LLMs' on-device efficiency. Recent works show that 8-bit or lower weight quantization is feasible with minimal impact on end-to-end task performance, while the activation is still not quantized. On the other hand, mainstream commodity edge devices still struggle to execute these sub-8-bit quantized networks effectively. In this paper, we propose","authors_text":"Chao Wu, Lei Lu, Ming Lin, Peiyan Dong, Xuan Shen, Yanzhi Wang, Zhengang Li, Zhenglun Kong","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-09T22:12:52Z","title":"Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05693","kind":"arxiv","version":2},"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":"sha256:2a3a994c4a95c8255001c232db6da9f17b4ff3d51375712c89b9e1c661fc8e2c","target":"record","created_at":"2026-07-05T10:51:19Z","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":"9928d180b6504a4e73145c233bb35c99dcb4c431cc0fa668a51999752e28360a","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-09T22:12:52Z","title_canon_sha256":"494e2bbcef0499a273624eda184df283fac666eeea9e5bd5bc119a69e85019f7"},"schema_version":"1.0","source":{"id":"2312.05693","kind":"arxiv","version":2}},"canonical_sha256":"b49d68220f39ddbbe6d0bc9f7b10882379b98afc1f24a2e653e194729707f74a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b49d68220f39ddbbe6d0bc9f7b10882379b98afc1f24a2e653e194729707f74a","first_computed_at":"2026-07-05T10:51:19.601919Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:19.601919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MPVTckrkTBGUOCuY/bk80hfkNnHLb9CN8yz89QhFfxZG/kjlAdzyPluwiiRgaqGu7yKiOX9j0MPq7HkAo+//Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:19.602421Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05693","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a3a994c4a95c8255001c232db6da9f17b4ff3d51375712c89b9e1c661fc8e2c","sha256:c46b89a3a9589da6d2e23c8efaeb9f8028c39bc74c208fca78d611757dfda3fa"],"state_sha256":"0f27368bdbf6f51f33fcbdece0cafbe937ec99113368597a64cbe17f560f551c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qYatungWQ0E6vd5T7yoMgA7m7o/Ngf4JrUFx2WyAaVandc5kKlw/KCgQN7XrQWKZoXaYrSBEZ4djkkyn95rcAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T10:08:53.850335Z","bundle_sha256":"f268b92d9ea8e1620078e83db732867abcc873b37b5aa3876f53cbe3efc22541"}}