{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7MWEPOGIC55GLQUL4FNTIWXRF5","short_pith_number":"pith:7MWEPOGI","canonical_record":{"source":{"id":"2502.00922","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-02T21:23:42Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"08035ab0fcee0032f11fdb8fca9834ae0b502a834bb5d056932c8caeee63b4f9","abstract_canon_sha256":"02fd16dd4a2a7d810fb218f35c0295727cc75834adc6756587620a5be0ad8270"},"schema_version":"1.0"},"canonical_sha256":"fb2c47b8c8177a65c28be15b345af12f58ab4ca1b643398073592a4ed824eb1f","source":{"kind":"arxiv","id":"2502.00922","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00922","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00922v1","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00922","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"pith_short_12","alias_value":"7MWEPOGIC55G","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"pith_short_16","alias_value":"7MWEPOGIC55GLQUL","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"pith_short_8","alias_value":"7MWEPOGI","created_at":"2026-07-05T10:08:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7MWEPOGIC55GLQUL4FNTIWXRF5","target":"record","payload":{"canonical_record":{"source":{"id":"2502.00922","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-02T21:23:42Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"08035ab0fcee0032f11fdb8fca9834ae0b502a834bb5d056932c8caeee63b4f9","abstract_canon_sha256":"02fd16dd4a2a7d810fb218f35c0295727cc75834adc6756587620a5be0ad8270"},"schema_version":"1.0"},"canonical_sha256":"fb2c47b8c8177a65c28be15b345af12f58ab4ca1b643398073592a4ed824eb1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:40.183238Z","signature_b64":"+0HpGM3T3iiOBTFnG2knbjr4yT0r8OvRhLkjiaC4DkmsjfOBHI5/qgXz+PjjqdGcqQ7/sCEvxT+1US7sMlqZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb2c47b8c8177a65c28be15b345af12f58ab4ca1b643398073592a4ed824eb1f","last_reissued_at":"2026-07-05T10:08:40.182766Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:40.182766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.00922","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":"2026-07-05T10:08:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6an2e49CvzL/3KcHjfvS9T6EJe7WA80VqB7GVUyfJxqRq8boxwn2x5DVR/uotuBUBNdoobsI7/HtpE9uxs8ZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:29:57.038955Z"},"content_sha256":"b6eeaa6bdab0e1a3a6e699b8437e4c3daa6b169343ade2463700347549891859","schema_version":"1.0","event_id":"sha256:b6eeaa6bdab0e1a3a6e699b8437e4c3daa6b169343ade2463700347549891859"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7MWEPOGIC55GLQUL4FNTIWXRF5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.LG","authors_text":"Arun George, Chinmay Hegde, Patrick Yubeaton, Pooria Taheri, Sai Qian Zhang, Shehab Naga, Siddharth Garg, Siddharth Joshi, Tareq Mahmoud, Tianhua Xia, Yasmein Khalil","submitted_at":"2025-02-02T21:23:42Z","abstract_excerpt":"As they become more capable, large language models (LLMs) have continued to rapidly increase in size. This has exacerbated the difficulty in running state of the art LLMs on small, edge devices. Standard techniques advocate solving this problem through lossy compression techniques such as quantization or pruning. However, such compression techniques are lossy, and have been shown to change model behavior in unpredictable manners. We propose Huff-LLM, an \\emph{end-to-end, lossless} model compression method that lets users store LLM weights in compressed format \\emph{everywhere} -- cloud, disk, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00922","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/2502.00922/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":"2026-07-05T10:08:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FK9WrRffc4HGXg8N36OjriZ3uu9DwnYDG/8NhxWt6YBJTvRz16SRJDqCdoLAPasOsNc5B9iWmw8r748oweFIDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:29:57.039548Z"},"content_sha256":"a6a1f606f7c21943f3780a8936f32b5d60e6be9671282ce4fa41b795a188d048","schema_version":"1.0","event_id":"sha256:a6a1f606f7c21943f3780a8936f32b5d60e6be9671282ce4fa41b795a188d048"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7MWEPOGIC55GLQUL4FNTIWXRF5/bundle.json","state_url":"https://pith.science/pith/7MWEPOGIC55GLQUL4FNTIWXRF5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7MWEPOGIC55GLQUL4FNTIWXRF5/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":"2026-08-10T05:29:57Z","links":{"resolver":"https://pith.science/pith/7MWEPOGIC55GLQUL4FNTIWXRF5","bundle":"https://pith.science/pith/7MWEPOGIC55GLQUL4FNTIWXRF5/bundle.json","state":"https://pith.science/pith/7MWEPOGIC55GLQUL4FNTIWXRF5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7MWEPOGIC55GLQUL4FNTIWXRF5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7MWEPOGIC55GLQUL4FNTIWXRF5","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":"02fd16dd4a2a7d810fb218f35c0295727cc75834adc6756587620a5be0ad8270","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-02T21:23:42Z","title_canon_sha256":"08035ab0fcee0032f11fdb8fca9834ae0b502a834bb5d056932c8caeee63b4f9"},"schema_version":"1.0","source":{"id":"2502.00922","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00922","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00922v1","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00922","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"pith_short_12","alias_value":"7MWEPOGIC55G","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"pith_short_16","alias_value":"7MWEPOGIC55GLQUL","created_at":"2026-07-05T10:08:40Z"},{"alias_kind":"pith_short_8","alias_value":"7MWEPOGI","created_at":"2026-07-05T10:08:40Z"}],"graph_snapshots":[{"event_id":"sha256:a6a1f606f7c21943f3780a8936f32b5d60e6be9671282ce4fa41b795a188d048","target":"graph","created_at":"2026-07-05T10:08:40Z","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/2502.00922/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As they become more capable, large language models (LLMs) have continued to rapidly increase in size. This has exacerbated the difficulty in running state of the art LLMs on small, edge devices. Standard techniques advocate solving this problem through lossy compression techniques such as quantization or pruning. However, such compression techniques are lossy, and have been shown to change model behavior in unpredictable manners. We propose Huff-LLM, an \\emph{end-to-end, lossless} model compression method that lets users store LLM weights in compressed format \\emph{everywhere} -- cloud, disk, ","authors_text":"Arun George, Chinmay Hegde, Patrick Yubeaton, Pooria Taheri, Sai Qian Zhang, Shehab Naga, Siddharth Garg, Siddharth Joshi, Tareq Mahmoud, Tianhua Xia, Yasmein Khalil","cross_cats":["cs.AR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-02T21:23:42Z","title":"Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00922","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:b6eeaa6bdab0e1a3a6e699b8437e4c3daa6b169343ade2463700347549891859","target":"record","created_at":"2026-07-05T10:08:40Z","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":"02fd16dd4a2a7d810fb218f35c0295727cc75834adc6756587620a5be0ad8270","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-02T21:23:42Z","title_canon_sha256":"08035ab0fcee0032f11fdb8fca9834ae0b502a834bb5d056932c8caeee63b4f9"},"schema_version":"1.0","source":{"id":"2502.00922","kind":"arxiv","version":1}},"canonical_sha256":"fb2c47b8c8177a65c28be15b345af12f58ab4ca1b643398073592a4ed824eb1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb2c47b8c8177a65c28be15b345af12f58ab4ca1b643398073592a4ed824eb1f","first_computed_at":"2026-07-05T10:08:40.182766Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:40.182766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+0HpGM3T3iiOBTFnG2knbjr4yT0r8OvRhLkjiaC4DkmsjfOBHI5/qgXz+PjjqdGcqQ7/sCEvxT+1US7sMlqZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:40.183238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00922","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6eeaa6bdab0e1a3a6e699b8437e4c3daa6b169343ade2463700347549891859","sha256:a6a1f606f7c21943f3780a8936f32b5d60e6be9671282ce4fa41b795a188d048"],"state_sha256":"c8956a269ca4b36cdc1a6f9a87991d1a6b3019ce7c3e5adda8212d6374093571"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"44e3yJFo5sYlH5E95f42mvEwHid3rsulBTocP3eoD8wnnlshrVFKTl+lwMr1Za9AaJI5b02k9rY391uPHaN+Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T05:29:57.111134Z","bundle_sha256":"6cb31b162afd7eb4f988f696e247918125624d520194f3966b04cb482a987927"}}