{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZX4LCNNBPMM7KTJX5KEVLRLLBD","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7a82e490e5ec65047113eefab395c41d5d81de227ccad0c8c964e067d90dfe72","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-04-28T22:05:57Z","title_canon_sha256":"4ba3ad451811049a1eb4384fe644ca2e1dd7df86f1ff4d9cb90bb9ba23c0cf75"},"schema_version":"1.0","source":{"id":"2604.26145","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2604.26145","created_at":"2026-05-25T02:02:15Z"},{"alias_kind":"arxiv_version","alias_value":"2604.26145v2","created_at":"2026-05-25T02:02:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2604.26145","created_at":"2026-05-25T02:02:15Z"},{"alias_kind":"pith_short_12","alias_value":"ZX4LCNNBPMM7","created_at":"2026-05-25T02:02:15Z"},{"alias_kind":"pith_short_16","alias_value":"ZX4LCNNBPMM7KTJX","created_at":"2026-05-25T02:02:15Z"},{"alias_kind":"pith_short_8","alias_value":"ZX4LCNNB","created_at":"2026-05-25T02:02:15Z"}],"graph_snapshots":[{"event_id":"sha256:0e453c309ab2a9ef78ebd9b0305b98857877ae6a8cca59b99bee8e4f25665abe","target":"graph","created_at":"2026-05-25T02:02:15Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"AI-generated explanations that appear helpful on the surface but are fundamentally flawed, increasing the risk of attainment, human-AI interaction, and socioaffective harms."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the six listed dimensions capture the critical failure modes and that the resulting pitfalls actually produce the claimed harms in real learner interactions."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"AI explanations in language learning often fail across six dimensions like diagnostic accuracy and self-regulation support, creating hidden risks that demand better evaluation frameworks such as L2-Bench."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"AI explanations in language learning tools often look helpful but contain flaws that can reinforce errors and erode trust."}],"snapshot_sha256":"df0a42c108a59b7b047251f0a6874af7356749724b1f00fcc9b7dd34af37dab4"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":false,"detectors_run":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-21T03:34:18.519966Z","status":"completed","version":"1.0.0"},{"findings_count":1,"name":"doi_compliance","ran_at":"2026-05-19T20:26:45.548676Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2604.26145/integrity.json","findings":[{"audited_at":"2026-05-19T20:26:45.548676Z","detected_arxiv_id":null,"detected_doi":"10.1007/s00146-023-01753-4","detector":"doi_compliance","finding_type":"unresolvable_identifier","note":"Identifier '10.1007/s00146-023-01753-4' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","ref_index":31,"severity":"critical","verdict_class":"cross_source"}],"snapshot_sha256":"8580a2a05a20619e57efcf17217b415a22daa23f944bcca0e61cc20d777e3b65","summary":{"advisory":0,"by_detector":{"doi_compliance":{"advisory":0,"critical":1,"informational":0,"total":1}},"critical":1,"informational":0}},"paper":{"abstract_excerpt":"AI-powered language learning tools increasingly provide instant, personalised feedback to millions of learners worldwide. However, this feedback can fail in ways that are difficult for learners--and even teachers--to detect, potentially reinforcing misconceptions and eroding learning outcomes over extended use. We present a portion of L2-Bench, a benchmark for evaluating AI systems in language education that includes (but is not limited to) six critical dimensions of effective feedback: diagnostic accuracy, awareness of appropriacy, causes of error, prioritisation, guidance for improvement, an","authors_text":"Ben Knight, Danielle Carvalho, Isaac Pattis, James Edgell, Wm. Matthew Kennedy","cross_cats":["cs.AI"],"headline":"AI explanations in language learning tools often look helpful but contain flaws that can reinforce errors and erode trust.","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-04-28T22:05:57Z","title":"Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2604.26145","kind":"arxiv","version":2},"verdict":{"created_at":"2026-05-07T15:05:15.251367Z","id":"38193017-0bed-43c4-bf79-af4c2e3a4a00","model_set":{"reader":"grok-4.3"},"one_line_summary":"AI explanations in language learning often fail across six dimensions like diagnostic accuracy and self-regulation support, creating hidden risks that demand better evaluation frameworks such as L2-Bench.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"AI explanations in language learning tools often look helpful but contain flaws that can reinforce errors and erode trust.","strongest_claim":"AI-generated explanations that appear helpful on the surface but are fundamentally flawed, increasing the risk of attainment, human-AI interaction, and socioaffective harms.","weakest_assumption":"That the six listed dimensions capture the critical failure modes and that the resulting pitfalls actually produce the claimed harms in real learner interactions."}},"verdict_id":"38193017-0bed-43c4-bf79-af4c2e3a4a00"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fe025fce5a337a345560cb1a1e6805a6d194afcab40b1b2f2ab7f1a7886aef08","target":"record","created_at":"2026-05-25T02:02:15Z","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":"7a82e490e5ec65047113eefab395c41d5d81de227ccad0c8c964e067d90dfe72","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-04-28T22:05:57Z","title_canon_sha256":"4ba3ad451811049a1eb4384fe644ca2e1dd7df86f1ff4d9cb90bb9ba23c0cf75"},"schema_version":"1.0","source":{"id":"2604.26145","kind":"arxiv","version":2}},"canonical_sha256":"cdf8b135a17b19f54d37ea8955c56b08e2cc6c52fc25fac564ce38fdb88ba9e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdf8b135a17b19f54d37ea8955c56b08e2cc6c52fc25fac564ce38fdb88ba9e2","first_computed_at":"2026-05-25T02:02:15.860230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:02:15.860230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ju+g4HnJYCmIDBU3wjauE76EvRQ1tqShFTBhLiDbC9ZKdmXnyEUIQ0Q1cbd6uLSDYwQxvGyRQt5f080X0zAeCQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:02:15.860996Z","signed_message":"canonical_sha256_bytes"},"source_id":"2604.26145","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6954ea78aaf48a72f24bf3f1021269513c04b38ba4617eb2235f830f1af2481f","sha256:fe025fce5a337a345560cb1a1e6805a6d194afcab40b1b2f2ab7f1a7886aef08","sha256:0e453c309ab2a9ef78ebd9b0305b98857877ae6a8cca59b99bee8e4f25665abe"],"state_sha256":"72417f5e2595d7ace07962d6fc4da711cff9e15d93e4b35a10bee133829ca6bf"}