{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PH5WMK6DK72MDIB3BWWQ7CMQTX","short_pith_number":"pith:PH5WMK6D","canonical_record":{"source":{"id":"2412.01626","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T15:44:19Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"c6de48b61ba8ae9c7536399adcf57304b9c45eb90c7e8a29d07f1674e6e65760","abstract_canon_sha256":"9e99850f78f0ccb971fc294aec1972ecd12628345178aff3a9f5e90ccf96798d"},"schema_version":"1.0"},"canonical_sha256":"79fb662bc357f4c1a03b0dad0f89909df5f32e6a3c5b2c3c77fc13f1d5a9f5fc","source":{"kind":"arxiv","id":"2412.01626","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01626","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01626v3","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01626","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"PH5WMK6DK72M","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"PH5WMK6DK72MDIB3","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"PH5WMK6D","created_at":"2026-07-05T10:51:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PH5WMK6DK72MDIB3BWWQ7CMQTX","target":"record","payload":{"canonical_record":{"source":{"id":"2412.01626","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T15:44:19Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"c6de48b61ba8ae9c7536399adcf57304b9c45eb90c7e8a29d07f1674e6e65760","abstract_canon_sha256":"9e99850f78f0ccb971fc294aec1972ecd12628345178aff3a9f5e90ccf96798d"},"schema_version":"1.0"},"canonical_sha256":"79fb662bc357f4c1a03b0dad0f89909df5f32e6a3c5b2c3c77fc13f1d5a9f5fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:29.385782Z","signature_b64":"u4TXAMHyllM7vwgWW7ihQTZXZPzJuPWfMALtPYI6xkogdFhykBq2bzhjy1Fb5N3LLG1uAliwf7UERCth/HCVBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79fb662bc357f4c1a03b0dad0f89909df5f32e6a3c5b2c3c77fc13f1d5a9f5fc","last_reissued_at":"2026-07-05T10:51:29.385263Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:29.385263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.01626","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":"2026-07-05T10:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hwnVsH+NRtHxksLUF6OlOUsN6MH36YIlwyglTRWnkGvs55623ZtNHkcibzSJhr+uI+U8x1bz7hmo9tNcfr9tBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:40:31.785368Z"},"content_sha256":"1c80cdcfd054ada4c21fc5c45d51c2c6695c881007a70fd33623271ec83ad1a8","schema_version":"1.0","event_id":"sha256:1c80cdcfd054ada4c21fc5c45d51c2c6695c881007a70fd33623271ec83ad1a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PH5WMK6DK72MDIB3BWWQ7CMQTX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Adam Jatowt, Florian Gerhold, Jamshid Mozafari","submitted_at":"2024-12-02T15:44:19Z","abstract_excerpt":"The use of Large Language Models (LLMs) has increased significantly with users frequently asking questions to chatbots. In the time when information is readily accessible, it is crucial to stimulate and preserve human cognitive abilities and maintain strong reasoning skills. This paper addresses such challenges by promoting the use of hints as an alternative or a supplement to direct answers. We first introduce a manually constructed hint dataset, WikiHint, which is based on Wikipedia and includes 5,000 hints created for 1,000 questions. We then finetune open-source LLMs for hint generation in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01626","kind":"arxiv","version":3},"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/2412.01626/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":"2026-07-05T10:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e6QM4tngUTw/qA72bNwcORpFDxvrYTF9NcRtDoM1a6c2ECuR7kej2duCCsnoShlAdd5FhZzDtJjTBBDnuT3kBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:40:31.785887Z"},"content_sha256":"6b91990a643d796231d207ec43984b4fb2b995411f8ba80702ce3edfc7d975ed","schema_version":"1.0","event_id":"sha256:6b91990a643d796231d207ec43984b4fb2b995411f8ba80702ce3edfc7d975ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX/bundle.json","state_url":"https://pith.science/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX/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":"2026-08-10T10:40:31Z","links":{"resolver":"https://pith.science/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX","bundle":"https://pith.science/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX/bundle.json","state":"https://pith.science/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PH5WMK6DK72MDIB3BWWQ7CMQTX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PH5WMK6DK72MDIB3BWWQ7CMQTX","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":"9e99850f78f0ccb971fc294aec1972ecd12628345178aff3a9f5e90ccf96798d","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T15:44:19Z","title_canon_sha256":"c6de48b61ba8ae9c7536399adcf57304b9c45eb90c7e8a29d07f1674e6e65760"},"schema_version":"1.0","source":{"id":"2412.01626","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01626","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01626v3","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01626","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"PH5WMK6DK72M","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"PH5WMK6DK72MDIB3","created_at":"2026-07-05T10:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"PH5WMK6D","created_at":"2026-07-05T10:51:29Z"}],"graph_snapshots":[{"event_id":"sha256:6b91990a643d796231d207ec43984b4fb2b995411f8ba80702ce3edfc7d975ed","target":"graph","created_at":"2026-07-05T10:51:29Z","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/2412.01626/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The use of Large Language Models (LLMs) has increased significantly with users frequently asking questions to chatbots. In the time when information is readily accessible, it is crucial to stimulate and preserve human cognitive abilities and maintain strong reasoning skills. This paper addresses such challenges by promoting the use of hints as an alternative or a supplement to direct answers. We first introduce a manually constructed hint dataset, WikiHint, which is based on Wikipedia and includes 5,000 hints created for 1,000 questions. We then finetune open-source LLMs for hint generation in","authors_text":"Adam Jatowt, Florian Gerhold, Jamshid Mozafari","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T15:44:19Z","title":"WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01626","kind":"arxiv","version":3},"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":"sha256:1c80cdcfd054ada4c21fc5c45d51c2c6695c881007a70fd33623271ec83ad1a8","target":"record","created_at":"2026-07-05T10:51:29Z","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":"9e99850f78f0ccb971fc294aec1972ecd12628345178aff3a9f5e90ccf96798d","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T15:44:19Z","title_canon_sha256":"c6de48b61ba8ae9c7536399adcf57304b9c45eb90c7e8a29d07f1674e6e65760"},"schema_version":"1.0","source":{"id":"2412.01626","kind":"arxiv","version":3}},"canonical_sha256":"79fb662bc357f4c1a03b0dad0f89909df5f32e6a3c5b2c3c77fc13f1d5a9f5fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79fb662bc357f4c1a03b0dad0f89909df5f32e6a3c5b2c3c77fc13f1d5a9f5fc","first_computed_at":"2026-07-05T10:51:29.385263Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:29.385263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u4TXAMHyllM7vwgWW7ihQTZXZPzJuPWfMALtPYI6xkogdFhykBq2bzhjy1Fb5N3LLG1uAliwf7UERCth/HCVBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:29.385782Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.01626","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c80cdcfd054ada4c21fc5c45d51c2c6695c881007a70fd33623271ec83ad1a8","sha256:6b91990a643d796231d207ec43984b4fb2b995411f8ba80702ce3edfc7d975ed"],"state_sha256":"c8fb9b1f0270b6c9d2c462381c85e32ab160f754572b424387b7ffe9122e233f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XeS9LbKHfzSTmuBOe3+t9HSHqZAXnKX+KNl7MfXx55UwwVq31fmwtaBQaiSa+rQPbOY4XuP1la+f1mAHJViNBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:40:31.791076Z","bundle_sha256":"b451a1317c7c6890f269eff67c3f3e71ca870d2806f4f4e2587a5b547a923a3d"}}