{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RT2NMQEKJJGMQZNE4OA7PXH2BG","short_pith_number":"pith:RT2NMQEK","canonical_record":{"source":{"id":"2509.10245","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-12T13:43:16Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"293f7d7726721ff1489345fcfb6465a527ccf4c1bffd62a4d42027d740434dae","abstract_canon_sha256":"1231380553286d03bc46a1f680b1053e515c562d5167c3b31eddb31e8eb3c021"},"schema_version":"1.0"},"canonical_sha256":"8cf4d6408a4a4cc865a4e381f7dcfa09bd7f972245505c76ba465e52bc9d46ab","source":{"kind":"arxiv","id":"2509.10245","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10245","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10245v1","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10245","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"RT2NMQEKJJGM","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"RT2NMQEKJJGMQZNE","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"RT2NMQEK","created_at":"2026-07-05T12:11:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RT2NMQEKJJGMQZNE4OA7PXH2BG","target":"record","payload":{"canonical_record":{"source":{"id":"2509.10245","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-12T13:43:16Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"293f7d7726721ff1489345fcfb6465a527ccf4c1bffd62a4d42027d740434dae","abstract_canon_sha256":"1231380553286d03bc46a1f680b1053e515c562d5167c3b31eddb31e8eb3c021"},"schema_version":"1.0"},"canonical_sha256":"8cf4d6408a4a4cc865a4e381f7dcfa09bd7f972245505c76ba465e52bc9d46ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:05.603517Z","signature_b64":"hnC5Gr1tk0iMFHXnm4nlihVBlntPCe2A55to2fH98ivWtbWFcjB99LkqQ3LgsvBluomrh3qadx/8I5vEeWPJDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cf4d6408a4a4cc865a4e381f7dcfa09bd7f972245505c76ba465e52bc9d46ab","last_reissued_at":"2026-07-05T12:11:05.603012Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:05.603012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.10245","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":"2026-07-05T12:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ColnWVLMAcIYMComdOfkkF5jIGyLMEBxkwyrZGeqCJBxeuNPMKxyBXKI8eMR65H3LO5y6z1d22/QmKWsIimCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:36:17.646591Z"},"content_sha256":"f3478add0eb395db29d7fe82c79505f8b72a7d80415db1b4c9aa37c0ca8fa337","schema_version":"1.0","event_id":"sha256:f3478add0eb395db29d7fe82c79505f8b72a7d80415db1b4c9aa37c0ca8fa337"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RT2NMQEKJJGMQZNE4OA7PXH2BG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model-agnostic post-hoc explainability for recommender systems","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Irina Ar\\'evalo, Jose L Salmeron","submitted_at":"2025-09-12T13:43:16Z","abstract_excerpt":"Recommender systems often benefit from complex feature embeddings and deep learning algorithms, which deliver sophisticated recommendations that enhance user experience, engagement, and revenue. However, these methods frequently reduce the interpretability and transparency of the system. In this research, we develop a systematic application, adaptation, and evaluation of deletion diagnostics in the recommender setting. The method compares the performance of a model to that of a similar model trained without a specific user or item, allowing us to quantify how that observation influences the re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10245","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/2509.10245/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":"2026-07-05T12:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j7PdbII7qFcxqzFLSPdCMBqmCp3AJymZqPn6pTRt/Gq2DbSLZfuXl3aqJazSVSwlCit7Pvqe7U8faqPt6ClwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:36:17.647979Z"},"content_sha256":"a789879c512ce4acf23ff1d2e99c577e85294d084ebb1ad99ec3debe4bc23df1","schema_version":"1.0","event_id":"sha256:a789879c512ce4acf23ff1d2e99c577e85294d084ebb1ad99ec3debe4bc23df1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG/bundle.json","state_url":"https://pith.science/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG/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":"2026-08-17T04:36:17Z","links":{"resolver":"https://pith.science/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG","bundle":"https://pith.science/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG/bundle.json","state":"https://pith.science/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RT2NMQEKJJGMQZNE4OA7PXH2BG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RT2NMQEKJJGMQZNE4OA7PXH2BG","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":"1231380553286d03bc46a1f680b1053e515c562d5167c3b31eddb31e8eb3c021","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-12T13:43:16Z","title_canon_sha256":"293f7d7726721ff1489345fcfb6465a527ccf4c1bffd62a4d42027d740434dae"},"schema_version":"1.0","source":{"id":"2509.10245","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10245","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10245v1","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10245","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"RT2NMQEKJJGM","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"RT2NMQEKJJGMQZNE","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"RT2NMQEK","created_at":"2026-07-05T12:11:05Z"}],"graph_snapshots":[{"event_id":"sha256:a789879c512ce4acf23ff1d2e99c577e85294d084ebb1ad99ec3debe4bc23df1","target":"graph","created_at":"2026-07-05T12:11:05Z","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/2509.10245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems often benefit from complex feature embeddings and deep learning algorithms, which deliver sophisticated recommendations that enhance user experience, engagement, and revenue. However, these methods frequently reduce the interpretability and transparency of the system. In this research, we develop a systematic application, adaptation, and evaluation of deletion diagnostics in the recommender setting. The method compares the performance of a model to that of a similar model trained without a specific user or item, allowing us to quantify how that observation influences the re","authors_text":"Irina Ar\\'evalo, Jose L Salmeron","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-12T13:43:16Z","title":"Model-agnostic post-hoc explainability for recommender systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10245","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:f3478add0eb395db29d7fe82c79505f8b72a7d80415db1b4c9aa37c0ca8fa337","target":"record","created_at":"2026-07-05T12:11:05Z","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":"1231380553286d03bc46a1f680b1053e515c562d5167c3b31eddb31e8eb3c021","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-12T13:43:16Z","title_canon_sha256":"293f7d7726721ff1489345fcfb6465a527ccf4c1bffd62a4d42027d740434dae"},"schema_version":"1.0","source":{"id":"2509.10245","kind":"arxiv","version":1}},"canonical_sha256":"8cf4d6408a4a4cc865a4e381f7dcfa09bd7f972245505c76ba465e52bc9d46ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cf4d6408a4a4cc865a4e381f7dcfa09bd7f972245505c76ba465e52bc9d46ab","first_computed_at":"2026-07-05T12:11:05.603012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:05.603012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hnC5Gr1tk0iMFHXnm4nlihVBlntPCe2A55to2fH98ivWtbWFcjB99LkqQ3LgsvBluomrh3qadx/8I5vEeWPJDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:05.603517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10245","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3478add0eb395db29d7fe82c79505f8b72a7d80415db1b4c9aa37c0ca8fa337","sha256:a789879c512ce4acf23ff1d2e99c577e85294d084ebb1ad99ec3debe4bc23df1"],"state_sha256":"099a879da341874f00a935aff47361ff1b456a688b9c4d70900a309f6d89805f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mt9xXn/PmRJEWnMZ5a3WKewQsfVgGa/rYbkz2II5V0WeYy9Oz2RqJWXVvQ1tW4gqJS0K4U6oZeBqHLh8u0opDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T04:36:17.668427Z","bundle_sha256":"bc811b0a84e2b553430b32b4d25f7280bd686a7b5996faaaad5a950ceced96ae"}}