{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:URSGRVM5QVKVYKKI24EWS5GLXR","short_pith_number":"pith:URSGRVM5","canonical_record":{"source":{"id":"2503.22389","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T12:48:12Z","cross_cats_sorted":[],"title_canon_sha256":"9a935db9f234a10a4cab239f0bca8ccbd8b67c4ce263057437236379016c9792","abstract_canon_sha256":"2beb2bff379b15963e64efa8917f93a89b4ca0aab5a00a1c19fd35c19e05f2bd"},"schema_version":"1.0"},"canonical_sha256":"a46468d59d85555c2948d7096974cbbc762c704cd000b595513509b4e9b8e8f2","source":{"kind":"arxiv","id":"2503.22389","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.22389","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"arxiv_version","alias_value":"2503.22389v1","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22389","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"pith_short_12","alias_value":"URSGRVM5QVKV","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"pith_short_16","alias_value":"URSGRVM5QVKVYKKI","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"pith_short_8","alias_value":"URSGRVM5","created_at":"2026-07-05T10:41:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:URSGRVM5QVKVYKKI24EWS5GLXR","target":"record","payload":{"canonical_record":{"source":{"id":"2503.22389","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T12:48:12Z","cross_cats_sorted":[],"title_canon_sha256":"9a935db9f234a10a4cab239f0bca8ccbd8b67c4ce263057437236379016c9792","abstract_canon_sha256":"2beb2bff379b15963e64efa8917f93a89b4ca0aab5a00a1c19fd35c19e05f2bd"},"schema_version":"1.0"},"canonical_sha256":"a46468d59d85555c2948d7096974cbbc762c704cd000b595513509b4e9b8e8f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:41:04.069735Z","signature_b64":"Cl3a/pUqsAE2CBxzTQaktz8qgUp629xXAJrptUyM/Kud2Wvz2SKohV2gd6koeYd/2PrlZTRloKMMBsfDOELYAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a46468d59d85555c2948d7096974cbbc762c704cd000b595513509b4e9b8e8f2","last_reissued_at":"2026-07-05T10:41:04.069207Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:41:04.069207Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.22389","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":"2026-07-05T10:41:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"18Na6c1w6hvXrSFzDVqp/dnjkau6NbDq2rr4YjLyO0BGvfJLDGMI4cFrk4JF5MBUmnDALZFHCb42n29rrRksBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:15:48.495856Z"},"content_sha256":"a4ce7e674866492d6945ba8285ffe9ce3d13f80012fc79a111df801cd4b8bb5a","schema_version":"1.0","event_id":"sha256:a4ce7e674866492d6945ba8285ffe9ce3d13f80012fc79a111df801cd4b8bb5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:URSGRVM5QVKVYKKI24EWS5GLXR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dawid P{\\l}udowski, Evridiki Vasileia Ntagiou, Francesco Spinnato, Krzysztof Kotowski, Piotr Wilczy\\'nski, Przemys{\\l}aw Biecek, Riccardo Guidotti","submitted_at":"2025-03-28T12:48:12Z","abstract_excerpt":"Counterfactual explanations provide an intuitive way to understand model decisions by identifying minimal changes required to alter an outcome. However, applying counterfactual methods to time series models remains challenging due to temporal dependencies, high dimensionality, and the lack of an intuitive human-interpretable representation. We introduce MASCOTS, a method that leverages the Bag-of-Receptive-Fields representation alongside symbolic transformations inspired by Symbolic Aggregate Approximation. By operating in a symbolic feature space, it enhances interpretability while preserving"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22389","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/2503.22389/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":"2026-07-05T10:41:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pdl032BVMIxHEHYH4NnvaaCIrBBUSEGVsQLtARToFY5URfiyPk1iNYFL+x/oPl+IrLJ23E1Ckhk8tpRow4MtDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:15:48.496426Z"},"content_sha256":"77bc7b3c61ba85775181442852ed509ad5e2fd6ff24533911471368c935d493d","schema_version":"1.0","event_id":"sha256:77bc7b3c61ba85775181442852ed509ad5e2fd6ff24533911471368c935d493d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/URSGRVM5QVKVYKKI24EWS5GLXR/bundle.json","state_url":"https://pith.science/pith/URSGRVM5QVKVYKKI24EWS5GLXR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/URSGRVM5QVKVYKKI24EWS5GLXR/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":"2026-08-06T09:15:48Z","links":{"resolver":"https://pith.science/pith/URSGRVM5QVKVYKKI24EWS5GLXR","bundle":"https://pith.science/pith/URSGRVM5QVKVYKKI24EWS5GLXR/bundle.json","state":"https://pith.science/pith/URSGRVM5QVKVYKKI24EWS5GLXR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/URSGRVM5QVKVYKKI24EWS5GLXR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:URSGRVM5QVKVYKKI24EWS5GLXR","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":"2beb2bff379b15963e64efa8917f93a89b4ca0aab5a00a1c19fd35c19e05f2bd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T12:48:12Z","title_canon_sha256":"9a935db9f234a10a4cab239f0bca8ccbd8b67c4ce263057437236379016c9792"},"schema_version":"1.0","source":{"id":"2503.22389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.22389","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"arxiv_version","alias_value":"2503.22389v1","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22389","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"pith_short_12","alias_value":"URSGRVM5QVKV","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"pith_short_16","alias_value":"URSGRVM5QVKVYKKI","created_at":"2026-07-05T10:41:04Z"},{"alias_kind":"pith_short_8","alias_value":"URSGRVM5","created_at":"2026-07-05T10:41:04Z"}],"graph_snapshots":[{"event_id":"sha256:77bc7b3c61ba85775181442852ed509ad5e2fd6ff24533911471368c935d493d","target":"graph","created_at":"2026-07-05T10:41:04Z","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/2503.22389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Counterfactual explanations provide an intuitive way to understand model decisions by identifying minimal changes required to alter an outcome. However, applying counterfactual methods to time series models remains challenging due to temporal dependencies, high dimensionality, and the lack of an intuitive human-interpretable representation. We introduce MASCOTS, a method that leverages the Bag-of-Receptive-Fields representation alongside symbolic transformations inspired by Symbolic Aggregate Approximation. By operating in a symbolic feature space, it enhances interpretability while preserving","authors_text":"Dawid P{\\l}udowski, Evridiki Vasileia Ntagiou, Francesco Spinnato, Krzysztof Kotowski, Piotr Wilczy\\'nski, Przemys{\\l}aw Biecek, Riccardo Guidotti","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T12:48:12Z","title":"MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22389","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:a4ce7e674866492d6945ba8285ffe9ce3d13f80012fc79a111df801cd4b8bb5a","target":"record","created_at":"2026-07-05T10:41:04Z","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":"2beb2bff379b15963e64efa8917f93a89b4ca0aab5a00a1c19fd35c19e05f2bd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T12:48:12Z","title_canon_sha256":"9a935db9f234a10a4cab239f0bca8ccbd8b67c4ce263057437236379016c9792"},"schema_version":"1.0","source":{"id":"2503.22389","kind":"arxiv","version":1}},"canonical_sha256":"a46468d59d85555c2948d7096974cbbc762c704cd000b595513509b4e9b8e8f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a46468d59d85555c2948d7096974cbbc762c704cd000b595513509b4e9b8e8f2","first_computed_at":"2026-07-05T10:41:04.069207Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:41:04.069207Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cl3a/pUqsAE2CBxzTQaktz8qgUp629xXAJrptUyM/Kud2Wvz2SKohV2gd6koeYd/2PrlZTRloKMMBsfDOELYAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:41:04.069735Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.22389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4ce7e674866492d6945ba8285ffe9ce3d13f80012fc79a111df801cd4b8bb5a","sha256:77bc7b3c61ba85775181442852ed509ad5e2fd6ff24533911471368c935d493d"],"state_sha256":"3582d3ecd6664997c4d207703d241fa185e76dbb690c79f35e00df44294723d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ux3HFJy3rWBTbkZBzqa5yRdKlBM5FCLlWqARrsZeVoDUQ0JCp33X/BaL3mHRvvvVxj2syK3sAIqM2ZYuLMs/DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T09:15:48.499847Z","bundle_sha256":"d486dfc493ba364919b4e3c35d1f2f40006c88f559f3ad1375c26d50f4110c0c"}}