{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QOC7GUGQUMR4D4TVDHBSPB77S3","short_pith_number":"pith:QOC7GUGQ","canonical_record":{"source":{"id":"2410.23918","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T13:26:11Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"title_canon_sha256":"5e572128d4a864a2e946c5d544ae0ae46fcdd188b652e0a1fdc5a3e75a143280","abstract_canon_sha256":"91f2afda866a91c5cab4ed619dcbf57e9cc2c2676718671d59f5209dd5aa2477"},"schema_version":"1.0"},"canonical_sha256":"8385f350d0a323c1f27519c32787ff96eb4ce61feaa056e55f470882abdc3569","source":{"kind":"arxiv","id":"2410.23918","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23918","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23918v3","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23918","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"pith_short_12","alias_value":"QOC7GUGQUMR4","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"pith_short_16","alias_value":"QOC7GUGQUMR4D4TV","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"pith_short_8","alias_value":"QOC7GUGQ","created_at":"2026-07-05T10:15:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QOC7GUGQUMR4D4TVDHBSPB77S3","target":"record","payload":{"canonical_record":{"source":{"id":"2410.23918","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T13:26:11Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"title_canon_sha256":"5e572128d4a864a2e946c5d544ae0ae46fcdd188b652e0a1fdc5a3e75a143280","abstract_canon_sha256":"91f2afda866a91c5cab4ed619dcbf57e9cc2c2676718671d59f5209dd5aa2477"},"schema_version":"1.0"},"canonical_sha256":"8385f350d0a323c1f27519c32787ff96eb4ce61feaa056e55f470882abdc3569","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:15:21.195130Z","signature_b64":"O/KrU92J6Ib2RMLbI05IC228wKFLeXCAbo/+xTC3FsEjnWw51eR1ZWWWFFSjx9tDvZY/2n4dXeut5bsDkZEgCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8385f350d0a323c1f27519c32787ff96eb4ce61feaa056e55f470882abdc3569","last_reissued_at":"2026-07-05T10:15:21.194656Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:15:21.194656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.23918","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":"2026-07-05T10:15:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bEZ1d3MVZTNks8xXYkfoDSoDquacVmmpnn+1ta3IyWGZ2zGuHEPU6U5q+xK9z6UEdPwX9ooM6APIte95L+U0DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:04.727099Z"},"content_sha256":"7a0d891556ef5cd4bd778e9e78a5b5ced88275c5199fd3f39baeea265e7e5b2b","schema_version":"1.0","event_id":"sha256:7a0d891556ef5cd4bd778e9e78a5b5ced88275c5199fd3f39baeea265e7e5b2b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QOC7GUGQUMR4D4TVDHBSPB77S3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG"],"primary_cat":"cs.CL","authors_text":"Bo Wang, Dong Zhang, Pengyu Wang, Xinghao Wang, Xipeng Qiu, Yunhua Zhou","submitted_at":"2024-10-31T13:26:11Z","abstract_excerpt":"Large language models (LLMs) have revolutionized numerous applications, yet their deployment remains challenged by memory constraints on local devices. While scaling laws have enhanced LLM capabilities, the primary bottleneck has shifted from \\textit{capability} to \\textit{availability}, emphasizing the need for efficient memory management. Traditional compression methods, such as quantization, often require predefined compression ratios and separate compression processes for each setting, complicating deployment in variable memory environments. In this paper, we introduce \\textbf{BitStack}, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23918","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/2410.23918/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":"2026-07-05T10:15:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gd+DwtwAbNP468MJS+veZ5CK1oEdHUEqQB5mbR/eEZo/OnwylGe33oNKQh6ZG5TBMD1ZHUzWk5LyEDd3Ee+uCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:04.727610Z"},"content_sha256":"91bdbdc9005bc887babf7e5fbfc17129425dbed0cc2313598623803d16bda2c3","schema_version":"1.0","event_id":"sha256:91bdbdc9005bc887babf7e5fbfc17129425dbed0cc2313598623803d16bda2c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QOC7GUGQUMR4D4TVDHBSPB77S3/bundle.json","state_url":"https://pith.science/pith/QOC7GUGQUMR4D4TVDHBSPB77S3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QOC7GUGQUMR4D4TVDHBSPB77S3/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":"2026-08-05T23:58:04Z","links":{"resolver":"https://pith.science/pith/QOC7GUGQUMR4D4TVDHBSPB77S3","bundle":"https://pith.science/pith/QOC7GUGQUMR4D4TVDHBSPB77S3/bundle.json","state":"https://pith.science/pith/QOC7GUGQUMR4D4TVDHBSPB77S3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QOC7GUGQUMR4D4TVDHBSPB77S3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QOC7GUGQUMR4D4TVDHBSPB77S3","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":"91f2afda866a91c5cab4ed619dcbf57e9cc2c2676718671d59f5209dd5aa2477","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T13:26:11Z","title_canon_sha256":"5e572128d4a864a2e946c5d544ae0ae46fcdd188b652e0a1fdc5a3e75a143280"},"schema_version":"1.0","source":{"id":"2410.23918","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23918","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23918v3","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23918","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"pith_short_12","alias_value":"QOC7GUGQUMR4","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"pith_short_16","alias_value":"QOC7GUGQUMR4D4TV","created_at":"2026-07-05T10:15:21Z"},{"alias_kind":"pith_short_8","alias_value":"QOC7GUGQ","created_at":"2026-07-05T10:15:21Z"}],"graph_snapshots":[{"event_id":"sha256:91bdbdc9005bc887babf7e5fbfc17129425dbed0cc2313598623803d16bda2c3","target":"graph","created_at":"2026-07-05T10:15:21Z","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/2410.23918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have revolutionized numerous applications, yet their deployment remains challenged by memory constraints on local devices. While scaling laws have enhanced LLM capabilities, the primary bottleneck has shifted from \\textit{capability} to \\textit{availability}, emphasizing the need for efficient memory management. Traditional compression methods, such as quantization, often require predefined compression ratios and separate compression processes for each setting, complicating deployment in variable memory environments. In this paper, we introduce \\textbf{BitStack}, a","authors_text":"Bo Wang, Dong Zhang, Pengyu Wang, Xinghao Wang, Xipeng Qiu, Yunhua Zhou","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T13:26:11Z","title":"BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23918","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":"sha256:7a0d891556ef5cd4bd778e9e78a5b5ced88275c5199fd3f39baeea265e7e5b2b","target":"record","created_at":"2026-07-05T10:15:21Z","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":"91f2afda866a91c5cab4ed619dcbf57e9cc2c2676718671d59f5209dd5aa2477","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T13:26:11Z","title_canon_sha256":"5e572128d4a864a2e946c5d544ae0ae46fcdd188b652e0a1fdc5a3e75a143280"},"schema_version":"1.0","source":{"id":"2410.23918","kind":"arxiv","version":3}},"canonical_sha256":"8385f350d0a323c1f27519c32787ff96eb4ce61feaa056e55f470882abdc3569","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8385f350d0a323c1f27519c32787ff96eb4ce61feaa056e55f470882abdc3569","first_computed_at":"2026-07-05T10:15:21.194656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:21.194656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O/KrU92J6Ib2RMLbI05IC228wKFLeXCAbo/+xTC3FsEjnWw51eR1ZWWWFFSjx9tDvZY/2n4dXeut5bsDkZEgCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:21.195130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.23918","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a0d891556ef5cd4bd778e9e78a5b5ced88275c5199fd3f39baeea265e7e5b2b","sha256:91bdbdc9005bc887babf7e5fbfc17129425dbed0cc2313598623803d16bda2c3"],"state_sha256":"4f2bc6a787fb45f65dd9b2801ce2ddf6f2006d2d9ad29b075bddefc31d397bfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TiD9yVN5cd2oFZGmS2m4s7UF5erZt8IYVzYz5Fmo7AUo92iTJ/Y8Eq5mAAKrzKJM5ilkV6Tn2T3NVZe32ctxDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T23:58:04.731654Z","bundle_sha256":"5e0b593171126a4d87a7dc92256f2d298cf4010e1f654ea7bbf2266c26fb18a0"}}