{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J7O6NLV26YAJTTCD64H25REPNT","short_pith_number":"pith:J7O6NLV2","canonical_record":{"source":{"id":"2502.17298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T16:32:22Z","cross_cats_sorted":[],"title_canon_sha256":"029f9ef7590f567c4d131dbfea59cebc5743926604ceb917090cd17822532982","abstract_canon_sha256":"606cd5756415e537aab38c7fc74e1f61a5579c759549578909a075297fcc0765"},"schema_version":"1.0"},"canonical_sha256":"4fdde6aebaf60099cc43f70faec48f6cd6ebf0d1fb50efbecf9fc942af361a32","source":{"kind":"arxiv","id":"2502.17298","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17298","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17298v1","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17298","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"J7O6NLV26YAJ","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"pith_short_16","alias_value":"J7O6NLV26YAJTTCD","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"pith_short_8","alias_value":"J7O6NLV2","created_at":"2026-07-05T10:19:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J7O6NLV26YAJTTCD64H25REPNT","target":"record","payload":{"canonical_record":{"source":{"id":"2502.17298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T16:32:22Z","cross_cats_sorted":[],"title_canon_sha256":"029f9ef7590f567c4d131dbfea59cebc5743926604ceb917090cd17822532982","abstract_canon_sha256":"606cd5756415e537aab38c7fc74e1f61a5579c759549578909a075297fcc0765"},"schema_version":"1.0"},"canonical_sha256":"4fdde6aebaf60099cc43f70faec48f6cd6ebf0d1fb50efbecf9fc942af361a32","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:08.412398Z","signature_b64":"tOoxOnY8b5nU87QQHAWNc05rJctHqj427ElOtTfXFlDxBrD6mTn12VrFiEe6LkIUjr9n9WsFjS3F2AuQPxzqDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fdde6aebaf60099cc43f70faec48f6cd6ebf0d1fb50efbecf9fc942af361a32","last_reissued_at":"2026-07-05T10:19:08.411929Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:08.411929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.17298","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":"2026-07-05T10:19:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q14t+A/858K1g0C5Mc14j1llMHsn19/LTXxnVKjHscdr19D4BxOnQSxRcnubcHfd9uWkOcRcQgRl/JFZRQNeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:06:05.777906Z"},"content_sha256":"4864fdebf2f3558bf351a32562402f5e723a41391f4e499f66437153a57b7e01","schema_version":"1.0","event_id":"sha256:4864fdebf2f3558bf351a32562402f5e723a41391f4e499f66437153a57b7e01"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J7O6NLV26YAJTTCD64H25REPNT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Delta Decompression for MoE-based LLMs Compression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hao Gu, Lujun Li, Mark Lee, Qiyuan Zhu, Shengjie Sun, Wei Li, Wei Xue, Yike Guo","submitted_at":"2025-02-24T16:32:22Z","abstract_excerpt":"Mixture-of-Experts (MoE) architectures in large language models (LLMs) achieve exceptional performance, but face prohibitive storage and memory requirements. To address these challenges, we present $D^2$-MoE, a new delta decompression compressor for reducing the parameters of MoE LLMs. Based on observations of expert diversity, we decompose their weights into a shared base weight and unique delta weights. Specifically, our method first merges each expert's weight into the base weight using the Fisher information matrix to capture shared components. Then, we compress delta weights through Singu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17298","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/2502.17298/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":"2026-07-05T10:19:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0mCb7wDtAyxQ15EVH1dauwz/4omrYnr86DsxA3CULErrCe++3bziCkLq4tLZc7XvxM93FNRStZYhvQ6Xb8sbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:06:05.778614Z"},"content_sha256":"573b2db66e485387a1698f5a70fe79e9c56eefb9afcfb1bc018dc1d6aa1a9bbc","schema_version":"1.0","event_id":"sha256:573b2db66e485387a1698f5a70fe79e9c56eefb9afcfb1bc018dc1d6aa1a9bbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J7O6NLV26YAJTTCD64H25REPNT/bundle.json","state_url":"https://pith.science/pith/J7O6NLV26YAJTTCD64H25REPNT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J7O6NLV26YAJTTCD64H25REPNT/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":"2026-08-06T19:06:05Z","links":{"resolver":"https://pith.science/pith/J7O6NLV26YAJTTCD64H25REPNT","bundle":"https://pith.science/pith/J7O6NLV26YAJTTCD64H25REPNT/bundle.json","state":"https://pith.science/pith/J7O6NLV26YAJTTCD64H25REPNT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J7O6NLV26YAJTTCD64H25REPNT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J7O6NLV26YAJTTCD64H25REPNT","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":"606cd5756415e537aab38c7fc74e1f61a5579c759549578909a075297fcc0765","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T16:32:22Z","title_canon_sha256":"029f9ef7590f567c4d131dbfea59cebc5743926604ceb917090cd17822532982"},"schema_version":"1.0","source":{"id":"2502.17298","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17298","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17298v1","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17298","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"J7O6NLV26YAJ","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"pith_short_16","alias_value":"J7O6NLV26YAJTTCD","created_at":"2026-07-05T10:19:08Z"},{"alias_kind":"pith_short_8","alias_value":"J7O6NLV2","created_at":"2026-07-05T10:19:08Z"}],"graph_snapshots":[{"event_id":"sha256:573b2db66e485387a1698f5a70fe79e9c56eefb9afcfb1bc018dc1d6aa1a9bbc","target":"graph","created_at":"2026-07-05T10:19:08Z","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/2502.17298/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mixture-of-Experts (MoE) architectures in large language models (LLMs) achieve exceptional performance, but face prohibitive storage and memory requirements. To address these challenges, we present $D^2$-MoE, a new delta decompression compressor for reducing the parameters of MoE LLMs. Based on observations of expert diversity, we decompose their weights into a shared base weight and unique delta weights. Specifically, our method first merges each expert's weight into the base weight using the Fisher information matrix to capture shared components. Then, we compress delta weights through Singu","authors_text":"Hao Gu, Lujun Li, Mark Lee, Qiyuan Zhu, Shengjie Sun, Wei Li, Wei Xue, Yike Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17298","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":"sha256:4864fdebf2f3558bf351a32562402f5e723a41391f4e499f66437153a57b7e01","target":"record","created_at":"2026-07-05T10:19:08Z","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":"606cd5756415e537aab38c7fc74e1f61a5579c759549578909a075297fcc0765","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T16:32:22Z","title_canon_sha256":"029f9ef7590f567c4d131dbfea59cebc5743926604ceb917090cd17822532982"},"schema_version":"1.0","source":{"id":"2502.17298","kind":"arxiv","version":1}},"canonical_sha256":"4fdde6aebaf60099cc43f70faec48f6cd6ebf0d1fb50efbecf9fc942af361a32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fdde6aebaf60099cc43f70faec48f6cd6ebf0d1fb50efbecf9fc942af361a32","first_computed_at":"2026-07-05T10:19:08.411929Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:08.411929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tOoxOnY8b5nU87QQHAWNc05rJctHqj427ElOtTfXFlDxBrD6mTn12VrFiEe6LkIUjr9n9WsFjS3F2AuQPxzqDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:08.412398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.17298","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4864fdebf2f3558bf351a32562402f5e723a41391f4e499f66437153a57b7e01","sha256:573b2db66e485387a1698f5a70fe79e9c56eefb9afcfb1bc018dc1d6aa1a9bbc"],"state_sha256":"0e73f2615a0ef532be41342dff4dc61bfbed5e5d74d700a73dea77b9d63fedf7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Uy4YuAaw9m0/uG9oZa4sJJKrNkJXSvATY6rugih5nzI9JLVqWPHysCpxKSE1iKWKN0BM5P+ECT47MpCJ4TGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T19:06:05.784190Z","bundle_sha256":"528e72c57fdab627c6f52ca502973a823d067a5a192deeb8cdf1fae0b9e3b22d"}}