{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SPJ37QLZD7OWYCLVDEXU6AYQLA","short_pith_number":"pith:SPJ37QLZ","canonical_record":{"source":{"id":"2412.17197","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T00:20:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"437914b4d9f92716bb8aa5893ab35713a68d7af5d2190c84232cad7f3fe1c84d","abstract_canon_sha256":"2994bbbfd64bfbea51f50986a4291ef96b331b1f7439d2becf1dedb1df00e079"},"schema_version":"1.0"},"canonical_sha256":"93d3bfc1791fdd6c0975192f4f031058092b2f27fe8355ecca8b84d1729f71be","source":{"kind":"arxiv","id":"2412.17197","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17197","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17197v1","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17197","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"SPJ37QLZD7OW","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"pith_short_16","alias_value":"SPJ37QLZD7OWYCLV","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"pith_short_8","alias_value":"SPJ37QLZ","created_at":"2026-07-05T09:53:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SPJ37QLZD7OWYCLVDEXU6AYQLA","target":"record","payload":{"canonical_record":{"source":{"id":"2412.17197","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T00:20:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"437914b4d9f92716bb8aa5893ab35713a68d7af5d2190c84232cad7f3fe1c84d","abstract_canon_sha256":"2994bbbfd64bfbea51f50986a4291ef96b331b1f7439d2becf1dedb1df00e079"},"schema_version":"1.0"},"canonical_sha256":"93d3bfc1791fdd6c0975192f4f031058092b2f27fe8355ecca8b84d1729f71be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:18.819698Z","signature_b64":"kvSPrLMYSWTAiGsGSQSPBGwMKiCCA05QDCHmcl5LGEUS/MrxIs/Y/JZAi+PIMSAK8xmB6pNuf6hPcPzd+FFjCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93d3bfc1791fdd6c0975192f4f031058092b2f27fe8355ecca8b84d1729f71be","last_reissued_at":"2026-07-05T09:53:18.819202Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:18.819202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.17197","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":"2026-07-05T09:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D79iFXwVgCVuuuw5wHtmQMecHY4afeYE1HxRXg/yrA11ETiomDe2iLFJ5jDv13Whge/+dsQ/yF1UDPTLuoVYDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:52:50.888278Z"},"content_sha256":"137bd1c4506204bda3ffc3f45fc9348f644e76231804cd2e01673d56efa397ec","schema_version":"1.0","event_id":"sha256:137bd1c4506204bda3ffc3f45fc9348f644e76231804cd2e01673d56efa397ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SPJ37QLZD7OWYCLVDEXU6AYQLA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Q-LIME $\\pi$: A Quantum-Inspired Extension to LIME","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Nelson Col\\'on Vargas","submitted_at":"2024-12-23T00:20:11Z","abstract_excerpt":"Machine learning models offer powerful predictive capabilities but often lack transparency. Local Interpretable Model-agnostic Explanations (LIME) addresses this by perturbing features and measuring their impact on a model's output. In text-based tasks, LIME typically removes present words (bits set to 1) to identify high-impact tokens. We propose \\textbf{Q-LIME $\\pi$} (Quantum LIME $\\pi$), a quantum-inspired extension of LIME that encodes a binary feature vector in a quantum state, leveraging superposition and interference to explore local neighborhoods more efficiently. Our method focuses on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17197","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/2412.17197/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":"2026-07-05T09:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lm3K3oPW3vtoC64tMlyje6DdDEb+fNHcp/RMT6ZjD6EmfUKyH1K5aNY/Jav/rpAe1llQQAWFAHMPe5F2XS6qDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:52:50.889187Z"},"content_sha256":"b717f960ee3209de7f6973c40017419364e49ef05293e831685f533661d9c604","schema_version":"1.0","event_id":"sha256:b717f960ee3209de7f6973c40017419364e49ef05293e831685f533661d9c604"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA/bundle.json","state_url":"https://pith.science/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA/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":"2026-08-16T04:52:50Z","links":{"resolver":"https://pith.science/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA","bundle":"https://pith.science/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA/bundle.json","state":"https://pith.science/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SPJ37QLZD7OWYCLVDEXU6AYQLA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SPJ37QLZD7OWYCLVDEXU6AYQLA","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":"2994bbbfd64bfbea51f50986a4291ef96b331b1f7439d2becf1dedb1df00e079","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T00:20:11Z","title_canon_sha256":"437914b4d9f92716bb8aa5893ab35713a68d7af5d2190c84232cad7f3fe1c84d"},"schema_version":"1.0","source":{"id":"2412.17197","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17197","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17197v1","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17197","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"SPJ37QLZD7OW","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"pith_short_16","alias_value":"SPJ37QLZD7OWYCLV","created_at":"2026-07-05T09:53:18Z"},{"alias_kind":"pith_short_8","alias_value":"SPJ37QLZ","created_at":"2026-07-05T09:53:18Z"}],"graph_snapshots":[{"event_id":"sha256:b717f960ee3209de7f6973c40017419364e49ef05293e831685f533661d9c604","target":"graph","created_at":"2026-07-05T09:53:18Z","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/2412.17197/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning models offer powerful predictive capabilities but often lack transparency. Local Interpretable Model-agnostic Explanations (LIME) addresses this by perturbing features and measuring their impact on a model's output. In text-based tasks, LIME typically removes present words (bits set to 1) to identify high-impact tokens. We propose \\textbf{Q-LIME $\\pi$} (Quantum LIME $\\pi$), a quantum-inspired extension of LIME that encodes a binary feature vector in a quantum state, leveraging superposition and interference to explore local neighborhoods more efficiently. Our method focuses on","authors_text":"Nelson Col\\'on Vargas","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T00:20:11Z","title":"Q-LIME $\\pi$: A Quantum-Inspired Extension to LIME"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17197","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":"sha256:137bd1c4506204bda3ffc3f45fc9348f644e76231804cd2e01673d56efa397ec","target":"record","created_at":"2026-07-05T09:53:18Z","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":"2994bbbfd64bfbea51f50986a4291ef96b331b1f7439d2becf1dedb1df00e079","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T00:20:11Z","title_canon_sha256":"437914b4d9f92716bb8aa5893ab35713a68d7af5d2190c84232cad7f3fe1c84d"},"schema_version":"1.0","source":{"id":"2412.17197","kind":"arxiv","version":1}},"canonical_sha256":"93d3bfc1791fdd6c0975192f4f031058092b2f27fe8355ecca8b84d1729f71be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93d3bfc1791fdd6c0975192f4f031058092b2f27fe8355ecca8b84d1729f71be","first_computed_at":"2026-07-05T09:53:18.819202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:18.819202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kvSPrLMYSWTAiGsGSQSPBGwMKiCCA05QDCHmcl5LGEUS/MrxIs/Y/JZAi+PIMSAK8xmB6pNuf6hPcPzd+FFjCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:18.819698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17197","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:137bd1c4506204bda3ffc3f45fc9348f644e76231804cd2e01673d56efa397ec","sha256:b717f960ee3209de7f6973c40017419364e49ef05293e831685f533661d9c604"],"state_sha256":"2bd2f924a62030be4d8bec4d3e0b1ee2b623ecfe0b0dece5fc9947adce898d27"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kxCR8mqr2+wAoD0R1yl6hlM/HiKlnh8Hms5pB7l0368ODJdQsleQ16GHiyXSdDgzlLb7LU7Y3sK2RCh+MkH2Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T04:52:50.894227Z","bundle_sha256":"2312e879b90db38ce7ac61a6af7d71efbb3abb45ae2d9c70f708318d478bf0d7"}}