{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:LJLKA22QAFOQLMF54IS2JP3MIK","short_pith_number":"pith:LJLKA22Q","canonical_record":{"source":{"id":"2208.01575","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T16:21:42Z","cross_cats_sorted":[],"title_canon_sha256":"e28e17682a605611957fdcd667bcc25994940b180b8b9909920c01c95fda79ab","abstract_canon_sha256":"9ee40ce9072fa00b771b65f4e882913ee658069a418cd7184ccd217f1a70246d"},"schema_version":"1.0"},"canonical_sha256":"5a56a06b50015d05b0bde225a4bf6c42a013c4f19ca2f4bf7e8e0139ad7e05af","source":{"kind":"arxiv","id":"2208.01575","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.01575","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"arxiv_version","alias_value":"2208.01575v2","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.01575","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"pith_short_12","alias_value":"LJLKA22QAFOQ","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"pith_short_16","alias_value":"LJLKA22QAFOQLMF5","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"pith_short_8","alias_value":"LJLKA22Q","created_at":"2026-07-05T06:52:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:LJLKA22QAFOQLMF54IS2JP3MIK","target":"record","payload":{"canonical_record":{"source":{"id":"2208.01575","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T16:21:42Z","cross_cats_sorted":[],"title_canon_sha256":"e28e17682a605611957fdcd667bcc25994940b180b8b9909920c01c95fda79ab","abstract_canon_sha256":"9ee40ce9072fa00b771b65f4e882913ee658069a418cd7184ccd217f1a70246d"},"schema_version":"1.0"},"canonical_sha256":"5a56a06b50015d05b0bde225a4bf6c42a013c4f19ca2f4bf7e8e0139ad7e05af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:52:20.043006Z","signature_b64":"P8/abq/a+HQa02APxvyRhBK9KI+mlpuAyIThYu1vLOdB6bHlLnylWujDAvYDh4RPnNiwkyVQ491tpghWJc3IDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a56a06b50015d05b0bde225a4bf6c42a013c4f19ca2f4bf7e8e0139ad7e05af","last_reissued_at":"2026-07-05T06:52:20.042595Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:52:20.042595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.01575","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:52:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7tc8d6wttAcfLNMQXNvU3YAnFly2zypzFEbLPu9Cc4tJb+p414zMxnPg8rHwO+F5ZubB+9co+BOS+LNIh5UoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T18:11:40.394440Z"},"content_sha256":"5a6a3f449f131987738bf5b5aa841c7883e07d11cfba79ed8b8cec99abc41671","schema_version":"1.0","event_id":"sha256:5a6a3f449f131987738bf5b5aa841c7883e07d11cfba79ed8b8cec99abc41671"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:LJLKA22QAFOQLMF54IS2JP3MIK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ferret: a Framework for Benchmarking Explainers on Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chiara Di Bonaventura, Debora Nozza, Eliana Pastor, Giuseppe Attanasio","submitted_at":"2022-08-02T16:21:42Z","abstract_excerpt":"As Transformers are increasingly relied upon to solve complex NLP problems, there is an increased need for their decisions to be humanly interpretable. While several explainable AI (XAI) techniques for interpreting the outputs of transformer-based models have been proposed, there is still a lack of easy access to using and comparing them. We introduce ferret, a Python library to simplify the use and comparisons of XAI methods on transformer-based classifiers. With ferret, users can visualize and compare transformers-based models output explanations using state-of-the-art XAI methods on any fre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.01575","kind":"arxiv","version":2},"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/2208.01575/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":"2026-07-05T06:52:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WDEyiirjCkUpwxch4gSKEKqxpDMKXmjdcQJTC96djJzOLAePqRFCf6SoJ0F3TR45As7RfC5K6rmd/nMTFwjdDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T18:11:40.394815Z"},"content_sha256":"c72c74ff7e2b575981fe352e07966846777e12b2a908291ecbfc5d71fb5c1ff8","schema_version":"1.0","event_id":"sha256:c72c74ff7e2b575981fe352e07966846777e12b2a908291ecbfc5d71fb5c1ff8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LJLKA22QAFOQLMF54IS2JP3MIK/bundle.json","state_url":"https://pith.science/pith/LJLKA22QAFOQLMF54IS2JP3MIK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LJLKA22QAFOQLMF54IS2JP3MIK/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":"2026-07-11T18:11:40Z","links":{"resolver":"https://pith.science/pith/LJLKA22QAFOQLMF54IS2JP3MIK","bundle":"https://pith.science/pith/LJLKA22QAFOQLMF54IS2JP3MIK/bundle.json","state":"https://pith.science/pith/LJLKA22QAFOQLMF54IS2JP3MIK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LJLKA22QAFOQLMF54IS2JP3MIK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LJLKA22QAFOQLMF54IS2JP3MIK","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":"9ee40ce9072fa00b771b65f4e882913ee658069a418cd7184ccd217f1a70246d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T16:21:42Z","title_canon_sha256":"e28e17682a605611957fdcd667bcc25994940b180b8b9909920c01c95fda79ab"},"schema_version":"1.0","source":{"id":"2208.01575","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.01575","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"arxiv_version","alias_value":"2208.01575v2","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.01575","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"pith_short_12","alias_value":"LJLKA22QAFOQ","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"pith_short_16","alias_value":"LJLKA22QAFOQLMF5","created_at":"2026-07-05T06:52:20Z"},{"alias_kind":"pith_short_8","alias_value":"LJLKA22Q","created_at":"2026-07-05T06:52:20Z"}],"graph_snapshots":[{"event_id":"sha256:c72c74ff7e2b575981fe352e07966846777e12b2a908291ecbfc5d71fb5c1ff8","target":"graph","created_at":"2026-07-05T06:52:20Z","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/2208.01575/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Transformers are increasingly relied upon to solve complex NLP problems, there is an increased need for their decisions to be humanly interpretable. While several explainable AI (XAI) techniques for interpreting the outputs of transformer-based models have been proposed, there is still a lack of easy access to using and comparing them. We introduce ferret, a Python library to simplify the use and comparisons of XAI methods on transformer-based classifiers. With ferret, users can visualize and compare transformers-based models output explanations using state-of-the-art XAI methods on any fre","authors_text":"Chiara Di Bonaventura, Debora Nozza, Eliana Pastor, Giuseppe Attanasio","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T16:21:42Z","title":"ferret: a Framework for Benchmarking Explainers on Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.01575","kind":"arxiv","version":2},"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":"sha256:5a6a3f449f131987738bf5b5aa841c7883e07d11cfba79ed8b8cec99abc41671","target":"record","created_at":"2026-07-05T06:52:20Z","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":"9ee40ce9072fa00b771b65f4e882913ee658069a418cd7184ccd217f1a70246d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T16:21:42Z","title_canon_sha256":"e28e17682a605611957fdcd667bcc25994940b180b8b9909920c01c95fda79ab"},"schema_version":"1.0","source":{"id":"2208.01575","kind":"arxiv","version":2}},"canonical_sha256":"5a56a06b50015d05b0bde225a4bf6c42a013c4f19ca2f4bf7e8e0139ad7e05af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a56a06b50015d05b0bde225a4bf6c42a013c4f19ca2f4bf7e8e0139ad7e05af","first_computed_at":"2026-07-05T06:52:20.042595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:52:20.042595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P8/abq/a+HQa02APxvyRhBK9KI+mlpuAyIThYu1vLOdB6bHlLnylWujDAvYDh4RPnNiwkyVQ491tpghWJc3IDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:52:20.043006Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.01575","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a6a3f449f131987738bf5b5aa841c7883e07d11cfba79ed8b8cec99abc41671","sha256:c72c74ff7e2b575981fe352e07966846777e12b2a908291ecbfc5d71fb5c1ff8"],"state_sha256":"f10f34b97c64048bb12a05924703bc9bb46ca37b68dea4495a9b7f8739c663cf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"giDHB0ZQnHypybqiJJGJyVy7iVU9wZrhmt2QKycQ/P/wgum+6wDt1X+k7b3KsbLeEO7Mwqmn0+iDx2Qft6OWBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T18:11:40.396968Z","bundle_sha256":"649e1059bb121ff50daa2f98fbb3e7aadb0d0074faef04252a5e1041d5c0b62e"}}