{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:B7NJGVUBEGMPIEQGFMQCKB6E63","short_pith_number":"pith:B7NJGVUB","canonical_record":{"source":{"id":"2507.01872","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-02T16:38:51Z","cross_cats_sorted":[],"title_canon_sha256":"211da45ef967ddeab263ad1c0b81cd9cbbb021006d2a7ed80449773d6b9782cc","abstract_canon_sha256":"c6dd45f34850fd94442247bfee20da25059da4b9fc354776fe32148eedf43741"},"schema_version":"1.0"},"canonical_sha256":"0fda9356812198f412062b202507c4f6e25aa349fae0a532ee8303dc42e4ff39","source":{"kind":"arxiv","id":"2507.01872","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01872","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01872v1","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01872","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"pith_short_12","alias_value":"B7NJGVUBEGMP","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"pith_short_16","alias_value":"B7NJGVUBEGMPIEQG","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"pith_short_8","alias_value":"B7NJGVUB","created_at":"2026-07-05T11:30:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:B7NJGVUBEGMPIEQGFMQCKB6E63","target":"record","payload":{"canonical_record":{"source":{"id":"2507.01872","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-02T16:38:51Z","cross_cats_sorted":[],"title_canon_sha256":"211da45ef967ddeab263ad1c0b81cd9cbbb021006d2a7ed80449773d6b9782cc","abstract_canon_sha256":"c6dd45f34850fd94442247bfee20da25059da4b9fc354776fe32148eedf43741"},"schema_version":"1.0"},"canonical_sha256":"0fda9356812198f412062b202507c4f6e25aa349fae0a532ee8303dc42e4ff39","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:57.245628Z","signature_b64":"AGp8d10O/ed3WYYd4X0Be9wDY9NpjBGuKbCicEPk6tirp8rESIwzSk6aqMO00U/YKrxcFTktuMgWs10d5FsoBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0fda9356812198f412062b202507c4f6e25aa349fae0a532ee8303dc42e4ff39","last_reissued_at":"2026-07-05T11:30:57.245086Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:57.245086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.01872","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":"2026-07-05T11:30:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Vt44DfVV91zRAWAaS/8x511bfA8H0KRPK6dP5Lo+TqTJy2mAEduGJIjS4+eIN3UUXSRwxVeQoW9v7LbL0WcCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:53:06.917790Z"},"content_sha256":"b3444d718ab3517d8497b5e6bc0550ebcd95d5da89af64ccbfeb3b3bcfba8adf","schema_version":"1.0","event_id":"sha256:b3444d718ab3517d8497b5e6bc0550ebcd95d5da89af64ccbfeb3b3bcfba8adf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:B7NJGVUBEGMPIEQGFMQCKB6E63","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DIY-MKG: An LLM-Based Polyglot Language Learning System","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Kenan Tang, Yanhong Li, Yao Qin","submitted_at":"2025-07-02T16:38:51Z","abstract_excerpt":"Existing language learning tools, even those powered by Large Language Models (LLMs), often lack support for polyglot learners to build linguistic connections across vocabularies in multiple languages, provide limited customization for individual learning paces or needs, and suffer from detrimental cognitive offloading. To address these limitations, we design Do-It-Yourself Multilingual Knowledge Graph (DIY-MKG), an open-source system that supports polyglot language learning. DIY-MKG allows the user to build personalized vocabulary knowledge graphs, which are constructed by selective expansion"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01872","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/2507.01872/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":"2026-07-05T11:30:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"daFc8Up8xR4eI0vk+7FuexoZl3T/EzYLvV81Xplf+K7+nChu5erAFn1762bFpZsqHtahGxG7nmAzSzsN3vuXDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:53:06.918454Z"},"content_sha256":"7d7d6978c894e5a51e4ea54af1e08400797a567822c6f87a1e0c07ec7039341c","schema_version":"1.0","event_id":"sha256:7d7d6978c894e5a51e4ea54af1e08400797a567822c6f87a1e0c07ec7039341c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B7NJGVUBEGMPIEQGFMQCKB6E63/bundle.json","state_url":"https://pith.science/pith/B7NJGVUBEGMPIEQGFMQCKB6E63/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B7NJGVUBEGMPIEQGFMQCKB6E63/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":"2026-08-07T00:53:06Z","links":{"resolver":"https://pith.science/pith/B7NJGVUBEGMPIEQGFMQCKB6E63","bundle":"https://pith.science/pith/B7NJGVUBEGMPIEQGFMQCKB6E63/bundle.json","state":"https://pith.science/pith/B7NJGVUBEGMPIEQGFMQCKB6E63/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B7NJGVUBEGMPIEQGFMQCKB6E63/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B7NJGVUBEGMPIEQGFMQCKB6E63","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":"c6dd45f34850fd94442247bfee20da25059da4b9fc354776fe32148eedf43741","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-02T16:38:51Z","title_canon_sha256":"211da45ef967ddeab263ad1c0b81cd9cbbb021006d2a7ed80449773d6b9782cc"},"schema_version":"1.0","source":{"id":"2507.01872","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01872","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01872v1","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01872","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"pith_short_12","alias_value":"B7NJGVUBEGMP","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"pith_short_16","alias_value":"B7NJGVUBEGMPIEQG","created_at":"2026-07-05T11:30:57Z"},{"alias_kind":"pith_short_8","alias_value":"B7NJGVUB","created_at":"2026-07-05T11:30:57Z"}],"graph_snapshots":[{"event_id":"sha256:7d7d6978c894e5a51e4ea54af1e08400797a567822c6f87a1e0c07ec7039341c","target":"graph","created_at":"2026-07-05T11:30:57Z","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/2507.01872/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing language learning tools, even those powered by Large Language Models (LLMs), often lack support for polyglot learners to build linguistic connections across vocabularies in multiple languages, provide limited customization for individual learning paces or needs, and suffer from detrimental cognitive offloading. To address these limitations, we design Do-It-Yourself Multilingual Knowledge Graph (DIY-MKG), an open-source system that supports polyglot language learning. DIY-MKG allows the user to build personalized vocabulary knowledge graphs, which are constructed by selective expansion","authors_text":"Kenan Tang, Yanhong Li, Yao Qin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-02T16:38:51Z","title":"DIY-MKG: An LLM-Based Polyglot Language Learning System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01872","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:b3444d718ab3517d8497b5e6bc0550ebcd95d5da89af64ccbfeb3b3bcfba8adf","target":"record","created_at":"2026-07-05T11:30:57Z","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":"c6dd45f34850fd94442247bfee20da25059da4b9fc354776fe32148eedf43741","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-02T16:38:51Z","title_canon_sha256":"211da45ef967ddeab263ad1c0b81cd9cbbb021006d2a7ed80449773d6b9782cc"},"schema_version":"1.0","source":{"id":"2507.01872","kind":"arxiv","version":1}},"canonical_sha256":"0fda9356812198f412062b202507c4f6e25aa349fae0a532ee8303dc42e4ff39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0fda9356812198f412062b202507c4f6e25aa349fae0a532ee8303dc42e4ff39","first_computed_at":"2026-07-05T11:30:57.245086Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:57.245086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AGp8d10O/ed3WYYd4X0Be9wDY9NpjBGuKbCicEPk6tirp8rESIwzSk6aqMO00U/YKrxcFTktuMgWs10d5FsoBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:57.245628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.01872","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3444d718ab3517d8497b5e6bc0550ebcd95d5da89af64ccbfeb3b3bcfba8adf","sha256:7d7d6978c894e5a51e4ea54af1e08400797a567822c6f87a1e0c07ec7039341c"],"state_sha256":"ca5de5576d77b6a0f372ec3bcff58858a7c2aaaa620e913169e69b236b87c1e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m+b1EpVKrXKfgo2cvSZdxLDEEBqkjablKAWb1rS8Po4RbM2p5m4eUM55e4ql3mD16mUCmVyLdsWBjQkmtidsCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T00:53:06.926320Z","bundle_sha256":"9552f101c23f78debc612d3893fd8bb3f28d01e557c73d1b7ff9e7763cba6d15"}}