{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VYHR6HU7SKWH7D6AXXGNMC3DVW","short_pith_number":"pith:VYHR6HU7","canonical_record":{"source":{"id":"2504.07158","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-09T11:24:32Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3234fee8fde118ab825ee1a81c8392190dd643e58bb486c4a386c931fc8fdbcf","abstract_canon_sha256":"9c2d4803140e16020b7cd62e328764981b13ad0be8f7fb89d497e9109b81e717"},"schema_version":"1.0"},"canonical_sha256":"ae0f1f1e9f92ac7f8fc0bdccd60b63ad9525bbd473a5951cf1214304b4f6c311","source":{"kind":"arxiv","id":"2504.07158","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.07158","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.07158v2","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.07158","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"pith_short_12","alias_value":"VYHR6HU7SKWH","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"pith_short_16","alias_value":"VYHR6HU7SKWH7D6A","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"pith_short_8","alias_value":"VYHR6HU7","created_at":"2026-07-05T10:47:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VYHR6HU7SKWH7D6AXXGNMC3DVW","target":"record","payload":{"canonical_record":{"source":{"id":"2504.07158","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-09T11:24:32Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3234fee8fde118ab825ee1a81c8392190dd643e58bb486c4a386c931fc8fdbcf","abstract_canon_sha256":"9c2d4803140e16020b7cd62e328764981b13ad0be8f7fb89d497e9109b81e717"},"schema_version":"1.0"},"canonical_sha256":"ae0f1f1e9f92ac7f8fc0bdccd60b63ad9525bbd473a5951cf1214304b4f6c311","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:47:39.575183Z","signature_b64":"F2HIvHylZ/zJL1yUohFTc6MHcfeIkB0XwpUIZr62EOeDXn/r5UPr9Hh6rwgUAp3kfJM4+1cdfJLErgZ/PjYVAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae0f1f1e9f92ac7f8fc0bdccd60b63ad9525bbd473a5951cf1214304b4f6c311","last_reissued_at":"2026-07-05T10:47:39.574619Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:47:39.574619Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.07158","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:47:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ulh3VFe3F+iur9LWVn3MXMBTaSPJJlCbyqVr3P4cBiLmynXqXDLA0q8hyxkKoEs3wLHW1In7H2JH5RftOcYeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:56:53.866632Z"},"content_sha256":"b7e15d605d444d4b7a49abb9256bc1e89d722e2fc9bcecce73ef6f7e40d9bc23","schema_version":"1.0","event_id":"sha256:b7e15d605d444d4b7a49abb9256bc1e89d722e2fc9bcecce73ef6f7e40d9bc23"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VYHR6HU7SKWH7D6AXXGNMC3DVW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Chilin Fu, Chunwei Wu, Jia Guo, Jianwen Wang, Jingyu Hu, Liang Jiang, Ling Team: Caizhi Tang, Meng Li, Peng Jiao, Pingping Liu, Shaomian Zheng, Shiwei Liang, Shuaicheng Li, Yalin Zhang, Yingting Wu, Yongkang Liu, Zhenyu Huang","submitted_at":"2025-04-09T11:24:32Z","abstract_excerpt":"This technical report presents Ring-Lite-Distill, a lightweight reasoning model derived from our open-source Mixture-of-Experts (MoE) Large Language Models (LLMs) Ling-Lite. This study demonstrates that through meticulous high-quality data curation and ingenious training paradigms, the compact MoE model Ling-Lite can be further trained to achieve exceptional reasoning capabilities, while maintaining its parameter-efficient architecture with only 2.75 billion activated parameters, establishing an efficient lightweight reasoning architecture. In particular, in constructing this model, we have no"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.07158","kind":"arxiv","version":2},"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/2504.07158/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":"2026-07-05T10:47:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jsehLZGVrKtEv/wTpNjoWtLchA6favu7GXi4w7QOAbJSaMT0JAzHtr+vw9jBE0JtQRw4hz3TQmy+kdQQM8IbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:56:53.869050Z"},"content_sha256":"e3207f0fa40a4509de4cb6cd0b84f4505b3cc0f68b99179f0ccdd60d11fcd814","schema_version":"1.0","event_id":"sha256:e3207f0fa40a4509de4cb6cd0b84f4505b3cc0f68b99179f0ccdd60d11fcd814"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW/bundle.json","state_url":"https://pith.science/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW/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":"2026-08-23T15:56:53Z","links":{"resolver":"https://pith.science/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW","bundle":"https://pith.science/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW/bundle.json","state":"https://pith.science/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VYHR6HU7SKWH7D6AXXGNMC3DVW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VYHR6HU7SKWH7D6AXXGNMC3DVW","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":"9c2d4803140e16020b7cd62e328764981b13ad0be8f7fb89d497e9109b81e717","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-09T11:24:32Z","title_canon_sha256":"3234fee8fde118ab825ee1a81c8392190dd643e58bb486c4a386c931fc8fdbcf"},"schema_version":"1.0","source":{"id":"2504.07158","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.07158","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.07158v2","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.07158","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"pith_short_12","alias_value":"VYHR6HU7SKWH","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"pith_short_16","alias_value":"VYHR6HU7SKWH7D6A","created_at":"2026-07-05T10:47:39Z"},{"alias_kind":"pith_short_8","alias_value":"VYHR6HU7","created_at":"2026-07-05T10:47:39Z"}],"graph_snapshots":[{"event_id":"sha256:e3207f0fa40a4509de4cb6cd0b84f4505b3cc0f68b99179f0ccdd60d11fcd814","target":"graph","created_at":"2026-07-05T10:47:39Z","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/2504.07158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This technical report presents Ring-Lite-Distill, a lightweight reasoning model derived from our open-source Mixture-of-Experts (MoE) Large Language Models (LLMs) Ling-Lite. This study demonstrates that through meticulous high-quality data curation and ingenious training paradigms, the compact MoE model Ling-Lite can be further trained to achieve exceptional reasoning capabilities, while maintaining its parameter-efficient architecture with only 2.75 billion activated parameters, establishing an efficient lightweight reasoning architecture. In particular, in constructing this model, we have no","authors_text":"Chilin Fu, Chunwei Wu, Jia Guo, Jianwen Wang, Jingyu Hu, Liang Jiang, Ling Team: Caizhi Tang, Meng Li, Peng Jiao, Pingping Liu, Shaomian Zheng, Shiwei Liang, Shuaicheng Li, Yalin Zhang, Yingting Wu, Yongkang Liu, Zhenyu Huang","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-09T11:24:32Z","title":"Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.07158","kind":"arxiv","version":2},"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:b7e15d605d444d4b7a49abb9256bc1e89d722e2fc9bcecce73ef6f7e40d9bc23","target":"record","created_at":"2026-07-05T10:47:39Z","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":"9c2d4803140e16020b7cd62e328764981b13ad0be8f7fb89d497e9109b81e717","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-09T11:24:32Z","title_canon_sha256":"3234fee8fde118ab825ee1a81c8392190dd643e58bb486c4a386c931fc8fdbcf"},"schema_version":"1.0","source":{"id":"2504.07158","kind":"arxiv","version":2}},"canonical_sha256":"ae0f1f1e9f92ac7f8fc0bdccd60b63ad9525bbd473a5951cf1214304b4f6c311","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae0f1f1e9f92ac7f8fc0bdccd60b63ad9525bbd473a5951cf1214304b4f6c311","first_computed_at":"2026-07-05T10:47:39.574619Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:47:39.574619Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F2HIvHylZ/zJL1yUohFTc6MHcfeIkB0XwpUIZr62EOeDXn/r5UPr9Hh6rwgUAp3kfJM4+1cdfJLErgZ/PjYVAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:47:39.575183Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.07158","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7e15d605d444d4b7a49abb9256bc1e89d722e2fc9bcecce73ef6f7e40d9bc23","sha256:e3207f0fa40a4509de4cb6cd0b84f4505b3cc0f68b99179f0ccdd60d11fcd814"],"state_sha256":"ee817bb4735fa3bb0d30d2b1ce639177cdea84e5dd95f9a580bb2e61841ee387"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VsoBnGMXqadx9jPjBgGzlIpptMMbjXtp1GOoLNVcWP8ILBOPLtaKW5v8iyzPsuAAvz29kAHRGdsMEZyCnUayAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T15:56:53.873738Z","bundle_sha256":"b8a34297bf227e7d5fe54a1d5420dae35edbac659938a09f174312f89cf881a8"}}