{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WSEXPNFONG6NJ5TZUMYQBY6XGZ","short_pith_number":"pith:WSEXPNFO","canonical_record":{"source":{"id":"2412.06845","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-08T02:01:46Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"96e03099636212ac0a81278a933e9457620c897f0ab90fa0d224fdc4b0fd9cdd","abstract_canon_sha256":"5dd16763f8a39a1506edd64b8307cdf2f2b2e4aa4480929c385a6602cfbcdde7"},"schema_version":"1.0"},"canonical_sha256":"b48977b4ae69bcd4f679a33100e3d73647f9961a30462f744e466b4f97da950f","source":{"kind":"arxiv","id":"2412.06845","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06845","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06845v6","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06845","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"WSEXPNFONG6N","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"pith_short_16","alias_value":"WSEXPNFONG6NJ5TZ","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"pith_short_8","alias_value":"WSEXPNFO","created_at":"2026-07-05T11:31:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WSEXPNFONG6NJ5TZUMYQBY6XGZ","target":"record","payload":{"canonical_record":{"source":{"id":"2412.06845","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-08T02:01:46Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"96e03099636212ac0a81278a933e9457620c897f0ab90fa0d224fdc4b0fd9cdd","abstract_canon_sha256":"5dd16763f8a39a1506edd64b8307cdf2f2b2e4aa4480929c385a6602cfbcdde7"},"schema_version":"1.0"},"canonical_sha256":"b48977b4ae69bcd4f679a33100e3d73647f9961a30462f744e466b4f97da950f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:31:41.994822Z","signature_b64":"tm9CZhsfNixXtq2mF2NKAhTxN1dc5m5APRFUcHw6YE3kA8oArqvkNdh5S8N60RsQmGHP76Qm+g+GpgRDBaJxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b48977b4ae69bcd4f679a33100e3d73647f9961a30462f744e466b4f97da950f","last_reissued_at":"2026-07-05T11:31:41.994388Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:31:41.994388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.06845","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"heS0IxGrDUtgKfH7aAmJuJGZNHrL1CMd0nzoLlfdOdTq3bvdI/wSs3LpFiD9oE64IuX2/RTV3IBx+OdNbml5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:23:53.519380Z"},"content_sha256":"56736361942473fc1de75e3d631d04bc0256cc809909767ffa517c33bafa39ea","schema_version":"1.0","event_id":"sha256:56736361942473fc1de75e3d631d04bc0256cc809909767ffa517c33bafa39ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WSEXPNFONG6NJ5TZUMYQBY6XGZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Arash Akbari, Changdi Yang, Enfu Nan, Lei Lu, Pu Zhao, Sung-En Chang, Timothy Rupprecht, Wei Jiang, Wei Wang, Weiyan Shi, Xingchen Xu, Xuan Shen, Yanzhi Wang, Yixin Shen, Yong He, Yue Chen, Yu Huang, Yumei He, Zhenglun Kong","submitted_at":"2024-12-08T02:01:46Z","abstract_excerpt":"Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are proprietary LLMs like GPT-4 and GPT-o1, which have captured widespread attention in the AI community due to their remarkable performance and versatility. Simultaneously, open-source LLMs, such as LLaMA, have made great contributions to the ever-increasing popularity of LLMs due to the ease to customize and deploy the models across diverse applications. Although open-source LLMs present unprecedented opportunities for in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06845","kind":"arxiv","version":6},"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/2412.06845/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":"2026-07-05T11:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yk5V+ghhDcIgtI6862hmK3PpXRL9ggXDetIioJkqXqTAyaWNKtHNMaFArE8lFkdU3ywtO6XT5MOMtcGqnJS4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:23:53.520002Z"},"content_sha256":"64d1bfc5517b8d22e721a962ce011cadd05b4c02f77ce482b8ba4e0dbf8871ab","schema_version":"1.0","event_id":"sha256:64d1bfc5517b8d22e721a962ce011cadd05b4c02f77ce482b8ba4e0dbf8871ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ/bundle.json","state_url":"https://pith.science/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ/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":"2026-08-12T12:23:53Z","links":{"resolver":"https://pith.science/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ","bundle":"https://pith.science/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ/bundle.json","state":"https://pith.science/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WSEXPNFONG6NJ5TZUMYQBY6XGZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WSEXPNFONG6NJ5TZUMYQBY6XGZ","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":"5dd16763f8a39a1506edd64b8307cdf2f2b2e4aa4480929c385a6602cfbcdde7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-08T02:01:46Z","title_canon_sha256":"96e03099636212ac0a81278a933e9457620c897f0ab90fa0d224fdc4b0fd9cdd"},"schema_version":"1.0","source":{"id":"2412.06845","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06845","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06845v6","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06845","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"WSEXPNFONG6N","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"pith_short_16","alias_value":"WSEXPNFONG6NJ5TZ","created_at":"2026-07-05T11:31:41Z"},{"alias_kind":"pith_short_8","alias_value":"WSEXPNFO","created_at":"2026-07-05T11:31:41Z"}],"graph_snapshots":[{"event_id":"sha256:64d1bfc5517b8d22e721a962ce011cadd05b4c02f77ce482b8ba4e0dbf8871ab","target":"graph","created_at":"2026-07-05T11:31:41Z","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/2412.06845/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are proprietary LLMs like GPT-4 and GPT-o1, which have captured widespread attention in the AI community due to their remarkable performance and versatility. Simultaneously, open-source LLMs, such as LLaMA, have made great contributions to the ever-increasing popularity of LLMs due to the ease to customize and deploy the models across diverse applications. Although open-source LLMs present unprecedented opportunities for in","authors_text":"Arash Akbari, Changdi Yang, Enfu Nan, Lei Lu, Pu Zhao, Sung-En Chang, Timothy Rupprecht, Wei Jiang, Wei Wang, Weiyan Shi, Xingchen Xu, Xuan Shen, Yanzhi Wang, Yixin Shen, Yong He, Yue Chen, Yu Huang, Yumei He, Zhenglun Kong","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-08T02:01:46Z","title":"7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06845","kind":"arxiv","version":6},"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":"sha256:56736361942473fc1de75e3d631d04bc0256cc809909767ffa517c33bafa39ea","target":"record","created_at":"2026-07-05T11:31:41Z","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":"5dd16763f8a39a1506edd64b8307cdf2f2b2e4aa4480929c385a6602cfbcdde7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-08T02:01:46Z","title_canon_sha256":"96e03099636212ac0a81278a933e9457620c897f0ab90fa0d224fdc4b0fd9cdd"},"schema_version":"1.0","source":{"id":"2412.06845","kind":"arxiv","version":6}},"canonical_sha256":"b48977b4ae69bcd4f679a33100e3d73647f9961a30462f744e466b4f97da950f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b48977b4ae69bcd4f679a33100e3d73647f9961a30462f744e466b4f97da950f","first_computed_at":"2026-07-05T11:31:41.994388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:31:41.994388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tm9CZhsfNixXtq2mF2NKAhTxN1dc5m5APRFUcHw6YE3kA8oArqvkNdh5S8N60RsQmGHP76Qm+g+GpgRDBaJxBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:31:41.994822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06845","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56736361942473fc1de75e3d631d04bc0256cc809909767ffa517c33bafa39ea","sha256:64d1bfc5517b8d22e721a962ce011cadd05b4c02f77ce482b8ba4e0dbf8871ab"],"state_sha256":"809b2b1d8ab541ed72f52b64c2daed8ad0ea88e546efbade3a0733f8ccf36167"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZP61cOOC7NXyNCNqdLSgB/YCEBCDEJGfO8pMv1AkSl5/T/EebEWmPId4aESUjxUpmoJHBkqDFFUw99/KTZynDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T12:23:53.524320Z","bundle_sha256":"449c396a585a2c2bd5b81ebeccba5fb96c6c7b0b16fbb7a851dfaac9225c9926"}}