{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2PF36WLILAXGLVQWLAQ2XOS3GL","short_pith_number":"pith:2PF36WLI","canonical_record":{"source":{"id":"2509.25606","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-30T00:01:22Z","cross_cats_sorted":[],"title_canon_sha256":"07bc20d1e77b64f5d695f26b7215deb37254da0267ae03875935a4a8db4e350c","abstract_canon_sha256":"8573739445ae199837e27c014f897a2d8bdc59718e7588b390da12f834ea59aa"},"schema_version":"1.0"},"canonical_sha256":"d3cbbf5968582e65d6165821abba5b32c1641b72cf802141f2cd0f23aa061bc0","source":{"kind":"arxiv","id":"2509.25606","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.25606","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"2509.25606v3","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.25606","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"2PF36WLILAXG","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"pith_short_16","alias_value":"2PF36WLILAXGLVQW","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"pith_short_8","alias_value":"2PF36WLI","created_at":"2026-05-21T01:05:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2PF36WLILAXGLVQWLAQ2XOS3GL","target":"record","payload":{"canonical_record":{"source":{"id":"2509.25606","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-30T00:01:22Z","cross_cats_sorted":[],"title_canon_sha256":"07bc20d1e77b64f5d695f26b7215deb37254da0267ae03875935a4a8db4e350c","abstract_canon_sha256":"8573739445ae199837e27c014f897a2d8bdc59718e7588b390da12f834ea59aa"},"schema_version":"1.0"},"canonical_sha256":"d3cbbf5968582e65d6165821abba5b32c1641b72cf802141f2cd0f23aa061bc0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:05:09.930179Z","signature_b64":"/MLm4WhIBMSyYpHHBE2Jkyckofg89W1fiFTxfc+R2lR2dETykYb0QnA6WEGtmLcztZ73R6rBWjEVbypGFYpBCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3cbbf5968582e65d6165821abba5b32c1641b72cf802141f2cd0f23aa061bc0","last_reissued_at":"2026-05-21T01:05:09.928876Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:05:09.928876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.25606","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":"2026-05-21T01:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mGlWYMkEFXJPTT1J8j+Z7zKEYNlJ8VqB0oMT2bigh9pqAZ1dy/Lt8yiULewI6niujU0fHp5trOsG81Jelz6IAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T18:38:34.247936Z"},"content_sha256":"5f60b1c1bf64f9afb5e3f0d24a41f66a4246d48705e0b9b263f0e8877561b294","schema_version":"1.0","event_id":"sha256:5f60b1c1bf64f9afb5e3f0d24a41f66a4246d48705e0b9b263f0e8877561b294"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2PF36WLILAXGLVQWLAQ2XOS3GL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Effective Model Pruning: Measure The Redundancy of Model Components","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dan P. Guralnik, Saiedeh Akbari, Warren E. Dixon, Yixuan Wang","submitted_at":"2025-09-30T00:01:22Z","abstract_excerpt":"This article initiates the study of a basic question about model pruning. Given a vector $s$ of importance scores assigned to model components, how many of the scored components could be discarded without sacrificing performance? We propose Effective Model Pruning (EMP), which derives the desired sparsity directly from the score distribution using the notion of effective sample size from particle filtering, also known as the inverse Simpson index.\n  Rather than prescribe a pruning criterion, EMP supplies a universal adaptive threshold derived from the distribution of the score $s$ over the mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.25606","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/2509.25606/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":"2026-05-21T01:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aIHIr7e+E/MtfhFOJiWvmKIlwsbBXxjvJuXL1Aq4zJIebtWXKhA5wVWUiOW28H9czqR4tRFfNr6Ln7a1N0z0Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T18:38:34.248681Z"},"content_sha256":"8ed90beff8b758d9c3f3f4b506c5fbd0fe9120686ddab3c6dd814e696b5469f8","schema_version":"1.0","event_id":"sha256:8ed90beff8b758d9c3f3f4b506c5fbd0fe9120686ddab3c6dd814e696b5469f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2PF36WLILAXGLVQWLAQ2XOS3GL/bundle.json","state_url":"https://pith.science/pith/2PF36WLILAXGLVQWLAQ2XOS3GL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2PF36WLILAXGLVQWLAQ2XOS3GL/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":"2026-05-23T18:38:34Z","links":{"resolver":"https://pith.science/pith/2PF36WLILAXGLVQWLAQ2XOS3GL","bundle":"https://pith.science/pith/2PF36WLILAXGLVQWLAQ2XOS3GL/bundle.json","state":"https://pith.science/pith/2PF36WLILAXGLVQWLAQ2XOS3GL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2PF36WLILAXGLVQWLAQ2XOS3GL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2PF36WLILAXGLVQWLAQ2XOS3GL","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":"8573739445ae199837e27c014f897a2d8bdc59718e7588b390da12f834ea59aa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-30T00:01:22Z","title_canon_sha256":"07bc20d1e77b64f5d695f26b7215deb37254da0267ae03875935a4a8db4e350c"},"schema_version":"1.0","source":{"id":"2509.25606","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.25606","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"2509.25606v3","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.25606","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"2PF36WLILAXG","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"pith_short_16","alias_value":"2PF36WLILAXGLVQW","created_at":"2026-05-21T01:05:09Z"},{"alias_kind":"pith_short_8","alias_value":"2PF36WLI","created_at":"2026-05-21T01:05:09Z"}],"graph_snapshots":[{"event_id":"sha256:8ed90beff8b758d9c3f3f4b506c5fbd0fe9120686ddab3c6dd814e696b5469f8","target":"graph","created_at":"2026-05-21T01:05:09Z","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/2509.25606/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This article initiates the study of a basic question about model pruning. Given a vector $s$ of importance scores assigned to model components, how many of the scored components could be discarded without sacrificing performance? We propose Effective Model Pruning (EMP), which derives the desired sparsity directly from the score distribution using the notion of effective sample size from particle filtering, also known as the inverse Simpson index.\n  Rather than prescribe a pruning criterion, EMP supplies a universal adaptive threshold derived from the distribution of the score $s$ over the mod","authors_text":"Dan P. Guralnik, Saiedeh Akbari, Warren E. Dixon, Yixuan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-30T00:01:22Z","title":"Effective Model Pruning: Measure The Redundancy of Model Components"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.25606","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":"sha256:5f60b1c1bf64f9afb5e3f0d24a41f66a4246d48705e0b9b263f0e8877561b294","target":"record","created_at":"2026-05-21T01:05:09Z","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":"8573739445ae199837e27c014f897a2d8bdc59718e7588b390da12f834ea59aa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-30T00:01:22Z","title_canon_sha256":"07bc20d1e77b64f5d695f26b7215deb37254da0267ae03875935a4a8db4e350c"},"schema_version":"1.0","source":{"id":"2509.25606","kind":"arxiv","version":3}},"canonical_sha256":"d3cbbf5968582e65d6165821abba5b32c1641b72cf802141f2cd0f23aa061bc0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3cbbf5968582e65d6165821abba5b32c1641b72cf802141f2cd0f23aa061bc0","first_computed_at":"2026-05-21T01:05:09.928876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:05:09.928876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/MLm4WhIBMSyYpHHBE2Jkyckofg89W1fiFTxfc+R2lR2dETykYb0QnA6WEGtmLcztZ73R6rBWjEVbypGFYpBCA==","signature_status":"signed_v1","signed_at":"2026-05-21T01:05:09.930179Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.25606","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f60b1c1bf64f9afb5e3f0d24a41f66a4246d48705e0b9b263f0e8877561b294","sha256:8ed90beff8b758d9c3f3f4b506c5fbd0fe9120686ddab3c6dd814e696b5469f8"],"state_sha256":"1f257cc67308b6d215840998750332cb2fe2eae71ffce5dfa90aef0a117f6188"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e4CRVv8URQQKdtzoEMlLVks+Q4RLT1B7sjdOSQ+tyVCGLyVZqk6j444v/XKwTccbzAxmMruYLxQvWQ0wa3q3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T18:38:34.252600Z","bundle_sha256":"dac87ec22f523a852b346fa5794987dd18210203f120022a369e08ee068eac6d"}}