{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5H2R2DL2NOJRDT7VKINXQDVOPV","short_pith_number":"pith:5H2R2DL2","canonical_record":{"source":{"id":"2608.13545","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T17:56:12Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8ff6c26a14b48dc7034b1f6e16c724b627ab0486676c07666e40c70ec745e776","abstract_canon_sha256":"3ae4c401196637bdc397cca706155543f0245dd6aeebef02da07c9db5af9d2a3"},"schema_version":"1.0"},"canonical_sha256":"e9f51d0d7a6b9311cff5521b780eae7d42d545d05d5c58bef75276d8a8e3929f","source":{"kind":"arxiv","id":"2608.13545","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13545","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13545v1","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13545","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"pith_short_12","alias_value":"5H2R2DL2NOJR","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"pith_short_16","alias_value":"5H2R2DL2NOJRDT7V","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"pith_short_8","alias_value":"5H2R2DL2","created_at":"2026-08-14T01:25:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5H2R2DL2NOJRDT7VKINXQDVOPV","target":"record","payload":{"canonical_record":{"source":{"id":"2608.13545","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T17:56:12Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8ff6c26a14b48dc7034b1f6e16c724b627ab0486676c07666e40c70ec745e776","abstract_canon_sha256":"3ae4c401196637bdc397cca706155543f0245dd6aeebef02da07c9db5af9d2a3"},"schema_version":"1.0"},"canonical_sha256":"e9f51d0d7a6b9311cff5521b780eae7d42d545d05d5c58bef75276d8a8e3929f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T01:25:02.016519Z","signature_b64":"qqTh5JwCzEiOlY4TuUXAZA+1BdHBjF6BILIzSRCzPopE/NVl/blxnS+2RgpxEcwvZLMlgTp7jmoIaNkOVqoFBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9f51d0d7a6b9311cff5521b780eae7d42d545d05d5c58bef75276d8a8e3929f","last_reissued_at":"2026-08-14T01:25:02.014072Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T01:25:02.014072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.13545","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":"2026-08-14T01:25:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GyEGQvTRqJ8KlcNzpIgl9sEHovLzxPJF1a0MbnXTl7bmnBa2xFUoOuHVZooDPLVRvrZhsN8zNQeLEiVmbHA2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T20:19:29.837928Z"},"content_sha256":"d62e038e457216f5be67bc09ac25ff7e750244917d078540afa896785dc24199","schema_version":"1.0","event_id":"sha256:d62e038e457216f5be67bc09ac25ff7e750244917d078540afa896785dc24199"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5H2R2DL2NOJRDT7VKINXQDVOPV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Fanfei Li, Jana Zeller, Manuel Prada-Corral, Prasanna Mayilvahanan, Ryan Cotterell, Thadd\\\"aus Wiedemer, Wieland Brendel","submitted_at":"2026-08-13T17:56:12Z","abstract_excerpt":"Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure to related content is hard to characterize. To address this challenge, we introduce LITTLECURRICULUM, a curated 88B-token pretraining corpus tailored to U.S. elementary school material, explicitly excluding concepts, facts, and vocabulary taught above Grade 5. Training a 5B-parameter LLM from scratch on LITTLECURRICULUM yields LITTLELEARNER, a model with sufficient language competence for open-ended evaluation, yet with clear knowled"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13545","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/2608.13545/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":"2026-08-14T01:25:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3iZWtwy5eg23W1Me9Kn4vdphm1uL/f+TePCrIddltA5ES0ezibSG0OvEiDhedclBeU2OsXWJPCakSkujFxmXCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T20:19:29.838429Z"},"content_sha256":"374cf91dcbabb2232019d5b4a28bef9b51596c21fb3bd261d2943ea87bddaef0","schema_version":"1.0","event_id":"sha256:374cf91dcbabb2232019d5b4a28bef9b51596c21fb3bd261d2943ea87bddaef0"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:5H2R2DL2NOJRDT7VKINXQDVOPV","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1162/tacl_a_00461 resolves to 'ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models'. A reader following the printed text alone cannot reach it.","snippet":"Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, and Colin Raffel. Byt5: Towards a token-free future with pre-trained byte-to-byte models.Transactions of the Association for Computational Ling","arxiv_id":"2608.13545","detector":"doi_compliance","evidence":{"ref_index":46,"verdict_class":"incontrovertible","resolved_title":"ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models","printed_excerpt":"10.1162/tacl_a_","reconstructed_doi":"10.1162/tacl_a_00461"},"severity":"advisory","ref_index":46,"audited_at":"2026-08-14T04:38:06.306390Z","event_type":"pith.integrity.v1","detected_doi":"10.1162/tacl_a_00461","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"6966d61f263f9987b229c20b0bb2f98c5f3296ba10c3a03f30a5e693c531991c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19502,"payload_sha256":"8315aef4f60c94cf1259cc1dac741ff8fd7558ef81bb0e754335233568e42ec0","signature_b64":"D52BvAY0Zm5Xm7NLeqCee0QNUsysno+dSaVH8Y1x+F/wp6oPID7I2d1ON6YVMQ7LStUSYuTZoEikLrzu7E07DQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T04:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eWeFkLUDLp9MKOvKK7EgSG9VoTWsZ6wYcskSx3axI1yVcQNqTb0I55U1Mw8yGHshTYKNzmiyAkmvvSfYoEmUAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T20:19:29.841853Z"},"content_sha256":"52937bfca87b86cff45f0766a37c369b831a655a37486bb64f5518c9d29eaf5f","schema_version":"1.0","event_id":"sha256:52937bfca87b86cff45f0766a37c369b831a655a37486bb64f5518c9d29eaf5f"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:5H2R2DL2NOJRDT7VKINXQDVOPV","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2024.naacl-long.102) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, and Yoon Kim. Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks. InProc","arxiv_id":"2608.13545","detector":"doi_compliance","evidence":{"ref_index":16,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2024.naacl-lon","reconstructed_doi":"10.18653/v1/2024.naacl-long.102"},"severity":"advisory","ref_index":16,"audited_at":"2026-08-14T04:38:06.306390Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2024.naacl-long.102","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"3cdb4703a8c25e1aba88566e1afebc118e2ac1dd6badaeffb97e7a3d116e4569","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19501,"payload_sha256":"abaec0b651a014394cd5b5685422589a868ca477293ff9d3160ab55bf1d52193","signature_b64":"6iwlNoqqnNP0cT1zLjfsn5dde/kylRJHHHC7ILzf/1azcSZMaLzGyTH0q+SLElyyPB0wlOiy+kFB2mqDMAHgDA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T04:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gK8sL/MRNQQ/Khqmf4H5uxI8Z80gtpjCVbT5tu6auKuOlVvHvjlaGqprrnqU5vxrMez2eZ+rnVdyCwvtMO4GAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T20:19:29.842248Z"},"content_sha256":"e1595fa4ada85d94dceeb4accec71945ea30b7a13480e5f6579253d95e1851d0","schema_version":"1.0","event_id":"sha256:e1595fa4ada85d94dceeb4accec71945ea30b7a13480e5f6579253d95e1851d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5H2R2DL2NOJRDT7VKINXQDVOPV/bundle.json","state_url":"https://pith.science/pith/5H2R2DL2NOJRDT7VKINXQDVOPV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5H2R2DL2NOJRDT7VKINXQDVOPV/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":"2026-08-14T20:19:29Z","links":{"resolver":"https://pith.science/pith/5H2R2DL2NOJRDT7VKINXQDVOPV","bundle":"https://pith.science/pith/5H2R2DL2NOJRDT7VKINXQDVOPV/bundle.json","state":"https://pith.science/pith/5H2R2DL2NOJRDT7VKINXQDVOPV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5H2R2DL2NOJRDT7VKINXQDVOPV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5H2R2DL2NOJRDT7VKINXQDVOPV","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3ae4c401196637bdc397cca706155543f0245dd6aeebef02da07c9db5af9d2a3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T17:56:12Z","title_canon_sha256":"8ff6c26a14b48dc7034b1f6e16c724b627ab0486676c07666e40c70ec745e776"},"schema_version":"1.0","source":{"id":"2608.13545","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13545","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13545v1","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13545","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"pith_short_12","alias_value":"5H2R2DL2NOJR","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"pith_short_16","alias_value":"5H2R2DL2NOJRDT7V","created_at":"2026-08-14T01:25:02Z"},{"alias_kind":"pith_short_8","alias_value":"5H2R2DL2","created_at":"2026-08-14T01:25:02Z"}],"graph_snapshots":[{"event_id":"sha256:374cf91dcbabb2232019d5b4a28bef9b51596c21fb3bd261d2943ea87bddaef0","target":"graph","created_at":"2026-08-14T01:25:02Z","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/2608.13545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure to related content is hard to characterize. To address this challenge, we introduce LITTLECURRICULUM, a curated 88B-token pretraining corpus tailored to U.S. elementary school material, explicitly excluding concepts, facts, and vocabulary taught above Grade 5. Training a 5B-parameter LLM from scratch on LITTLECURRICULUM yields LITTLELEARNER, a model with sufficient language competence for open-ended evaluation, yet with clear knowled","authors_text":"Fanfei Li, Jana Zeller, Manuel Prada-Corral, Prasanna Mayilvahanan, Ryan Cotterell, Thadd\\\"aus Wiedemer, Wieland Brendel","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T17:56:12Z","title":"LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13545","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:d62e038e457216f5be67bc09ac25ff7e750244917d078540afa896785dc24199","target":"record","created_at":"2026-08-14T01:25:02Z","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":"3ae4c401196637bdc397cca706155543f0245dd6aeebef02da07c9db5af9d2a3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T17:56:12Z","title_canon_sha256":"8ff6c26a14b48dc7034b1f6e16c724b627ab0486676c07666e40c70ec745e776"},"schema_version":"1.0","source":{"id":"2608.13545","kind":"arxiv","version":1}},"canonical_sha256":"e9f51d0d7a6b9311cff5521b780eae7d42d545d05d5c58bef75276d8a8e3929f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9f51d0d7a6b9311cff5521b780eae7d42d545d05d5c58bef75276d8a8e3929f","first_computed_at":"2026-08-14T01:25:02.014072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-14T01:25:02.014072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qqTh5JwCzEiOlY4TuUXAZA+1BdHBjF6BILIzSRCzPopE/NVl/blxnS+2RgpxEcwvZLMlgTp7jmoIaNkOVqoFBg==","signature_status":"signed_v1","signed_at":"2026-08-14T01:25:02.016519Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.13545","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:52937bfca87b86cff45f0766a37c369b831a655a37486bb64f5518c9d29eaf5f","sha256:e1595fa4ada85d94dceeb4accec71945ea30b7a13480e5f6579253d95e1851d0"]}],"invalid_events":[],"applied_event_ids":["sha256:d62e038e457216f5be67bc09ac25ff7e750244917d078540afa896785dc24199","sha256:374cf91dcbabb2232019d5b4a28bef9b51596c21fb3bd261d2943ea87bddaef0"],"state_sha256":"705f89f1fba15d63ab75c25d1e2022db4c6a252624f52e8a4c358c51765f3785"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P+lDMhaiNozqwwXpEjw9ois9nOaQxoZUQQRP0yiqIxTZ7h5bsGIN8rxvuPZdIvbMWXowHDEjd7vaQfs6e9ccDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T20:19:29.844821Z","bundle_sha256":"88fad2f4335a4234f3c677eb238250373dbd6fba1d4d64f048fbb455673c3754"}}