{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CK6OYEQ5UMSPI3BBJIEHPAC5JR","short_pith_number":"pith:CK6OYEQ5","canonical_record":{"source":{"id":"2505.07289","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T07:23:19Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b65728d322950d99b3e991ca7cd3486670efc5d8ff7c24eebaf8e9455d206202","abstract_canon_sha256":"080f273c556e2ca0a84349f109e0f6a0b9fbbab175164f9735eedbf8a14d3cd8"},"schema_version":"1.0"},"canonical_sha256":"12bcec121da324f46c214a0877805d4c5a3f48053ca46fd48ad424b232ccb2d7","source":{"kind":"arxiv","id":"2505.07289","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07289","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07289v1","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07289","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"CK6OYEQ5UMSP","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"CK6OYEQ5UMSPI3BB","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"CK6OYEQ5","created_at":"2026-07-05T11:01:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CK6OYEQ5UMSPI3BBJIEHPAC5JR","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07289","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T07:23:19Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b65728d322950d99b3e991ca7cd3486670efc5d8ff7c24eebaf8e9455d206202","abstract_canon_sha256":"080f273c556e2ca0a84349f109e0f6a0b9fbbab175164f9735eedbf8a14d3cd8"},"schema_version":"1.0"},"canonical_sha256":"12bcec121da324f46c214a0877805d4c5a3f48053ca46fd48ad424b232ccb2d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:45.562029Z","signature_b64":"sBTEiJCOByHLsjrOMi7HUSe0lvBqwhnzDlnXEMx4pPtzSK8pgjBSRr34C0Xwj09pfT4vANkMNROXIAS7C/wyDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12bcec121da324f46c214a0877805d4c5a3f48053ca46fd48ad424b232ccb2d7","last_reissued_at":"2026-07-05T11:01:45.561535Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:45.561535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07289","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":"2026-07-05T11:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V15m/UhQglo7dLV0xRVGcPp2K3e4jQuQkPYQSBg4dJANdbpWLDXgqmiLnakquT9Rlbtgnp1b/Q1ladUp7TrABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:03:38.194754Z"},"content_sha256":"9ab8fc8bf952e0028ead78073490369611aeb90827d158e3ebec96aa0e393ed8","schema_version":"1.0","event_id":"sha256:9ab8fc8bf952e0028ead78073490369611aeb90827d158e3ebec96aa0e393ed8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CK6OYEQ5UMSPI3BBJIEHPAC5JR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic Retention and Extreme Compression in LLMs: Can We Have Both?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Antoun Yaacoub, Lionel Prevost, Martin Cousseau, Stanislas Laborde","submitted_at":"2025-05-12T07:23:19Z","abstract_excerpt":"The exponential growth in Large Language Model (LLM) deployment has intensified the need for efficient model compression techniques to reduce computational and memory costs. While pruning and quantization have shown promise, their combined potential remains largely unexplored. In this paper, we examine joint compression and how strategically combining pruning and quantization could yield superior performance-to-compression ratios compared to single-method approaches. Recognizing the challenges in accurately assessing LLM performance, we address key limitations of previous evaluation frameworks"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07289","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/2505.07289/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":"2026-07-05T11:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aEBiSDcims4uYC8lQogKplmyVB5t4mZVAKQIJp7Mj2/asIYh93WApez56MofkxUh8bINXy5xRNQmlRcuaVT/DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:03:38.195276Z"},"content_sha256":"ee8ad7ebcf59e045079e38a1dfaa9e1c8ccaf033e93062ffe108574d15a50fce","schema_version":"1.0","event_id":"sha256:ee8ad7ebcf59e045079e38a1dfaa9e1c8ccaf033e93062ffe108574d15a50fce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR/bundle.json","state_url":"https://pith.science/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR/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":"2026-08-10T06:03:38Z","links":{"resolver":"https://pith.science/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR","bundle":"https://pith.science/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR/bundle.json","state":"https://pith.science/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CK6OYEQ5UMSPI3BBJIEHPAC5JR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CK6OYEQ5UMSPI3BBJIEHPAC5JR","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":"080f273c556e2ca0a84349f109e0f6a0b9fbbab175164f9735eedbf8a14d3cd8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T07:23:19Z","title_canon_sha256":"b65728d322950d99b3e991ca7cd3486670efc5d8ff7c24eebaf8e9455d206202"},"schema_version":"1.0","source":{"id":"2505.07289","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07289","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07289v1","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07289","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"CK6OYEQ5UMSP","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"CK6OYEQ5UMSPI3BB","created_at":"2026-07-05T11:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"CK6OYEQ5","created_at":"2026-07-05T11:01:45Z"}],"graph_snapshots":[{"event_id":"sha256:ee8ad7ebcf59e045079e38a1dfaa9e1c8ccaf033e93062ffe108574d15a50fce","target":"graph","created_at":"2026-07-05T11:01:45Z","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/2505.07289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The exponential growth in Large Language Model (LLM) deployment has intensified the need for efficient model compression techniques to reduce computational and memory costs. While pruning and quantization have shown promise, their combined potential remains largely unexplored. In this paper, we examine joint compression and how strategically combining pruning and quantization could yield superior performance-to-compression ratios compared to single-method approaches. Recognizing the challenges in accurately assessing LLM performance, we address key limitations of previous evaluation frameworks","authors_text":"Antoun Yaacoub, Lionel Prevost, Martin Cousseau, Stanislas Laborde","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T07:23:19Z","title":"Semantic Retention and Extreme Compression in LLMs: Can We Have Both?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07289","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":"sha256:9ab8fc8bf952e0028ead78073490369611aeb90827d158e3ebec96aa0e393ed8","target":"record","created_at":"2026-07-05T11:01:45Z","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":"080f273c556e2ca0a84349f109e0f6a0b9fbbab175164f9735eedbf8a14d3cd8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T07:23:19Z","title_canon_sha256":"b65728d322950d99b3e991ca7cd3486670efc5d8ff7c24eebaf8e9455d206202"},"schema_version":"1.0","source":{"id":"2505.07289","kind":"arxiv","version":1}},"canonical_sha256":"12bcec121da324f46c214a0877805d4c5a3f48053ca46fd48ad424b232ccb2d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12bcec121da324f46c214a0877805d4c5a3f48053ca46fd48ad424b232ccb2d7","first_computed_at":"2026-07-05T11:01:45.561535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:45.561535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sBTEiJCOByHLsjrOMi7HUSe0lvBqwhnzDlnXEMx4pPtzSK8pgjBSRr34C0Xwj09pfT4vANkMNROXIAS7C/wyDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:45.562029Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07289","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ab8fc8bf952e0028ead78073490369611aeb90827d158e3ebec96aa0e393ed8","sha256:ee8ad7ebcf59e045079e38a1dfaa9e1c8ccaf033e93062ffe108574d15a50fce"],"state_sha256":"8e78f6e5ea19e6143721e2b2ebd063eef69e0d10afb3627e858e1c921cb95afb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iM367R7OAWvaqYbFZqs2nRrtrndvhOTQS+EjrhK5S3rKcIfBs7VQ24vfCMJPOCnHXKupseTZUpdl4a9HSZXQCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:03:38.199053Z","bundle_sha256":"eb46c84614e3ac0113f14c0d3a4f0ad39701d09e04ee104f3c3f1c611af921c7"}}