{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OSUS25D35MPOO7G3CPIDQ25E2C","short_pith_number":"pith:OSUS25D3","canonical_record":{"source":{"id":"2602.16571","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-18T16:12:46Z","cross_cats_sorted":[],"title_canon_sha256":"6c0fe735db1ebb2c8021ea4d2e7bbfaad8716019d70f5cc649151981d095d7ff","abstract_canon_sha256":"1789351b98581a8fd5b9bdd3fdbde11a57766fd94073bc73af5fa509d59bff69"},"schema_version":"1.0"},"canonical_sha256":"74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2","source":{"kind":"arxiv","id":"2602.16571","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.16571","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"arxiv_version","alias_value":"2602.16571v3","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.16571","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"pith_short_12","alias_value":"OSUS25D35MPO","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"pith_short_16","alias_value":"OSUS25D35MPOO7G3","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"pith_short_8","alias_value":"OSUS25D3","created_at":"2026-06-02T02:04:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OSUS25D35MPOO7G3CPIDQ25E2C","target":"record","payload":{"canonical_record":{"source":{"id":"2602.16571","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-18T16:12:46Z","cross_cats_sorted":[],"title_canon_sha256":"6c0fe735db1ebb2c8021ea4d2e7bbfaad8716019d70f5cc649151981d095d7ff","abstract_canon_sha256":"1789351b98581a8fd5b9bdd3fdbde11a57766fd94073bc73af5fa509d59bff69"},"schema_version":"1.0"},"canonical_sha256":"74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:14.796242Z","signature_b64":"M2og06xBIrW7M680EEOELyVpqcN3cX6VUEn+/YLXNrmZ0vb0ZPqR5k9S7hr66V5pvHHGq62x5CRVBLpxJic8BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2","last_reissued_at":"2026-06-02T02:04:14.795801Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:14.795801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.16571","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T02:04:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wPogvx1JNK9Z9tyr2OANrTN5egDQmEKx3/trdDWRhP5o3MQgiItQyR4PL5zU2K9JH19+Mkajr372nkocXAfyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T03:27:00.863232Z"},"content_sha256":"8ceb6eea392881310818f6e4d90f191d42801d2ed77d54cd0d787aefa0ad16b6","schema_version":"1.0","event_id":"sha256:8ceb6eea392881310818f6e4d90f191d42801d2ed77d54cd0d787aefa0ad16b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OSUS25D35MPOO7G3CPIDQ25E2C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers.","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bakhtawar Ahtisham, Chris Shaw, Daryl Hedley, Doug Pietrzak, Jinsook Lee, Jorge Dias, Kirk Vanacore, Ren\\'e F. Kizilcec, Ruth Sch\\\"afer, Zhuqian Zhou","submitted_at":"2026-02-18T16:12:46Z","abstract_excerpt":"Large-scale sharing of dialogue data is key to advancing the science of teaching and learning, yet rigorous de-identification remains a major barrier. In mathematics tutoring transcripts, numeric expressions frequently resemble structured identifiers (e.g., dates or IDs), leading generic Personally Identifiable Information (PII) detection systems to over-redact core instructional content and reduce data utility. This work asks how to detect PII while preserving educational utility, focusing on this \"numeric ambiguity\" problem. We introduce MathEd-PII, the first benchmark dataset for PII detect"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Domain-aware prompting, including both math-aware (F1: 0.802) and segment-aware versions (F1: 0.821), substantially outperforms the baseline (F1: 0.379) while reducing numeric false positives.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the human-in-the-loop LLM annotation process produces reliable ground-truth PII labels that generalize to unseen math tutoring dialogues without introducing systematic bias toward certain numeric patterns.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"The MathEd-PII benchmark shows that math-aware and segment-aware LLM prompting raises PII detection F1 from 0.379 to 0.821 while cutting false redactions of instructional numbers.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"4263b66280bd753a995280dbc6f5fb7b5d13b58d288e87fa12b3997affb1b238"},"source":{"id":"2602.16571","kind":"arxiv","version":3},"verdict":{"id":"2739c85f-4ef1-4018-8163-80c0628bb2ba","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T21:12:34.060180Z","strongest_claim":"Domain-aware prompting, including both math-aware (F1: 0.802) and segment-aware versions (F1: 0.821), substantially outperforms the baseline (F1: 0.379) while reducing numeric false positives.","one_line_summary":"The MathEd-PII benchmark shows that math-aware and segment-aware LLM prompting raises PII detection F1 from 0.379 to 0.821 while cutting false redactions of instructional numbers.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the human-in-the-loop LLM annotation process produces reliable ground-truth PII labels that generalize to unseen math tutoring dialogues without introducing systematic bias toward certain numeric patterns.","pith_extraction_headline":"Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.16571/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":"2739c85f-4ef1-4018-8163-80c0628bb2ba"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T02:04:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yx09C3RY4r7jF1ZROB7vww5vm8/x+V/I0FWWWzlxd+bOm0T9qz/LieM65a9yKYC7sLbyL/MGIssiTbP0PczSBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T03:27:00.863769Z"},"content_sha256":"2d8c9213c666692af44d1792f01b58d74a71364919f08a665eacd81f39b30f2a","schema_version":"1.0","event_id":"sha256:2d8c9213c666692af44d1792f01b58d74a71364919f08a665eacd81f39b30f2a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OSUS25D35MPOO7G3CPIDQ25E2C/bundle.json","state_url":"https://pith.science/pith/OSUS25D35MPOO7G3CPIDQ25E2C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OSUS25D35MPOO7G3CPIDQ25E2C/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":"2026-06-10T03:27:00Z","links":{"resolver":"https://pith.science/pith/OSUS25D35MPOO7G3CPIDQ25E2C","bundle":"https://pith.science/pith/OSUS25D35MPOO7G3CPIDQ25E2C/bundle.json","state":"https://pith.science/pith/OSUS25D35MPOO7G3CPIDQ25E2C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OSUS25D35MPOO7G3CPIDQ25E2C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OSUS25D35MPOO7G3CPIDQ25E2C","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":"1789351b98581a8fd5b9bdd3fdbde11a57766fd94073bc73af5fa509d59bff69","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-18T16:12:46Z","title_canon_sha256":"6c0fe735db1ebb2c8021ea4d2e7bbfaad8716019d70f5cc649151981d095d7ff"},"schema_version":"1.0","source":{"id":"2602.16571","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.16571","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"arxiv_version","alias_value":"2602.16571v3","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.16571","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"pith_short_12","alias_value":"OSUS25D35MPO","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"pith_short_16","alias_value":"OSUS25D35MPOO7G3","created_at":"2026-06-02T02:04:14Z"},{"alias_kind":"pith_short_8","alias_value":"OSUS25D3","created_at":"2026-06-02T02:04:14Z"}],"graph_snapshots":[{"event_id":"sha256:2d8c9213c666692af44d1792f01b58d74a71364919f08a665eacd81f39b30f2a","target":"graph","created_at":"2026-06-02T02:04:14Z","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":"Domain-aware prompting, including both math-aware (F1: 0.802) and segment-aware versions (F1: 0.821), substantially outperforms the baseline (F1: 0.379) while reducing numeric false positives."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the human-in-the-loop LLM annotation process produces reliable ground-truth PII labels that generalize to unseen math tutoring dialogues without introducing systematic bias toward certain numeric patterns."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"The MathEd-PII benchmark shows that math-aware and segment-aware LLM prompting raises PII detection F1 from 0.379 to 0.821 while cutting false redactions of instructional numbers."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers."}],"snapshot_sha256":"4263b66280bd753a995280dbc6f5fb7b5d13b58d288e87fa12b3997affb1b238"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2602.16571/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale sharing of dialogue data is key to advancing the science of teaching and learning, yet rigorous de-identification remains a major barrier. In mathematics tutoring transcripts, numeric expressions frequently resemble structured identifiers (e.g., dates or IDs), leading generic Personally Identifiable Information (PII) detection systems to over-redact core instructional content and reduce data utility. This work asks how to detect PII while preserving educational utility, focusing on this \"numeric ambiguity\" problem. We introduce MathEd-PII, the first benchmark dataset for PII detect","authors_text":"Bakhtawar Ahtisham, Chris Shaw, Daryl Hedley, Doug Pietrzak, Jinsook Lee, Jorge Dias, Kirk Vanacore, Ren\\'e F. Kizilcec, Ruth Sch\\\"afer, Zhuqian Zhou","cross_cats":[],"headline":"Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-18T16:12:46Z","title":"Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.16571","kind":"arxiv","version":3},"verdict":{"created_at":"2026-05-15T21:12:34.060180Z","id":"2739c85f-4ef1-4018-8163-80c0628bb2ba","model_set":{"reader":"grok-4.3"},"one_line_summary":"The MathEd-PII benchmark shows that math-aware and segment-aware LLM prompting raises PII detection F1 from 0.379 to 0.821 while cutting false redactions of instructional numbers.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers.","strongest_claim":"Domain-aware prompting, including both math-aware (F1: 0.802) and segment-aware versions (F1: 0.821), substantially outperforms the baseline (F1: 0.379) while reducing numeric false positives.","weakest_assumption":"That the human-in-the-loop LLM annotation process produces reliable ground-truth PII labels that generalize to unseen math tutoring dialogues without introducing systematic bias toward certain numeric patterns."}},"verdict_id":"2739c85f-4ef1-4018-8163-80c0628bb2ba"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8ceb6eea392881310818f6e4d90f191d42801d2ed77d54cd0d787aefa0ad16b6","target":"record","created_at":"2026-06-02T02:04:14Z","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":"1789351b98581a8fd5b9bdd3fdbde11a57766fd94073bc73af5fa509d59bff69","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-18T16:12:46Z","title_canon_sha256":"6c0fe735db1ebb2c8021ea4d2e7bbfaad8716019d70f5cc649151981d095d7ff"},"schema_version":"1.0","source":{"id":"2602.16571","kind":"arxiv","version":3}},"canonical_sha256":"74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2","first_computed_at":"2026-06-02T02:04:14.795801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:14.795801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M2og06xBIrW7M680EEOELyVpqcN3cX6VUEn+/YLXNrmZ0vb0ZPqR5k9S7hr66V5pvHHGq62x5CRVBLpxJic8BQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:14.796242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.16571","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ceb6eea392881310818f6e4d90f191d42801d2ed77d54cd0d787aefa0ad16b6","sha256:2d8c9213c666692af44d1792f01b58d74a71364919f08a665eacd81f39b30f2a"],"state_sha256":"66fc9a414deb0abf5c1e252af813d9a9246a48651dba50de8eeae61150ffd4e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"84nKdpN0dkKmTB812RppsTN9yiemErt514W5pUTvSDiA6PXXXVHx18UhZIfNWiqwAsJmnpKMwTEnFG2KpbkODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T03:27:00.866573Z","bundle_sha256":"3d8a1494de26cc03258d5d0a55cbf23fdf520cd88fd4ec836dd2127229b4df5c"}}