{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IEXJWL5P72J5FWE5RSGCO5YIKX","short_pith_number":"pith:IEXJWL5P","canonical_record":{"source":{"id":"2403.15747","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-23T07:29:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e28f0abf0690609597799aea6b4a19766246d9ed7c96d08e98084e42a14fdd68","abstract_canon_sha256":"3448419a1a8ff51091dcf0bf140e4474e1081e7aa8f7a19eb31ea84ee0bbdecc"},"schema_version":"1.0"},"canonical_sha256":"412e9b2faffe93d2d89d8c8c27770855fd2188c372452d3c4d7982c68524cb2b","source":{"kind":"arxiv","id":"2403.15747","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15747","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15747v1","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15747","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"pith_short_12","alias_value":"IEXJWL5P72J5","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"pith_short_16","alias_value":"IEXJWL5P72J5FWE5","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"pith_short_8","alias_value":"IEXJWL5P","created_at":"2026-07-05T08:00:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IEXJWL5P72J5FWE5RSGCO5YIKX","target":"record","payload":{"canonical_record":{"source":{"id":"2403.15747","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-23T07:29:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e28f0abf0690609597799aea6b4a19766246d9ed7c96d08e98084e42a14fdd68","abstract_canon_sha256":"3448419a1a8ff51091dcf0bf140e4474e1081e7aa8f7a19eb31ea84ee0bbdecc"},"schema_version":"1.0"},"canonical_sha256":"412e9b2faffe93d2d89d8c8c27770855fd2188c372452d3c4d7982c68524cb2b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:00:05.688134Z","signature_b64":"+5Q3XrriqEqXpiN84ULX3cIxw11cEGMbI+QVRODNO2fiz9zcsm1RAaPVikud/NJTC1/DmeWhzfPCXNMh0tZuCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"412e9b2faffe93d2d89d8c8c27770855fd2188c372452d3c4d7982c68524cb2b","last_reissued_at":"2026-07-05T08:00:05.687725Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:00:05.687725Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.15747","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":"2026-07-05T08:00:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s1chKAa4ZcZ+KWoOL6Z7KZdca3ivPp0Zr3ziy0o2+AE0Wzs3c9S41qpk+FKV+r7qtzoA37SqbBMAgRnBaOVPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:11:00.934296Z"},"content_sha256":"905c3ad493fb13fafe058f7d87d0266319200d99a971687b707472f434f8ba0d","schema_version":"1.0","event_id":"sha256:905c3ad493fb13fafe058f7d87d0266319200d99a971687b707472f434f8ba0d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IEXJWL5P72J5FWE5RSGCO5YIKX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CodeShell Technical Report","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Chang Gao, Rui Xie, Shikun Zhang, Wei Ye, Zhengran Zeng, Zhuohao Yu","submitted_at":"2024-03-23T07:29:41Z","abstract_excerpt":"Code large language models mark a pivotal breakthrough in artificial intelligence. They are specifically crafted to understand and generate programming languages, significantly boosting the efficiency of coding development workflows. In this technical report, we present CodeShell-Base, a seven billion-parameter foundation model with 8K context length, showcasing exceptional proficiency in code comprehension. By incorporating Grouped-Query Attention and Rotary Positional Embedding into GPT-2, CodeShell-Base integrates the structural merits of StarCoder and CodeLlama and forms its unique archite"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15747","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/2403.15747/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":"2026-07-05T08:00:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/wg/d72YZx4g0sqkIEnXL4PQ5ttkxEk7PWCMUL+QRqgl2Yqso671exsJzNmCJEDjwqxrIcXR7ReLNP7eH8cQAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:11:00.934895Z"},"content_sha256":"6f58745b8b53e345478dbc3777d0e03bd8622dd7e0d24c0917ee4f5f02cbaa8e","schema_version":"1.0","event_id":"sha256:6f58745b8b53e345478dbc3777d0e03bd8622dd7e0d24c0917ee4f5f02cbaa8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IEXJWL5P72J5FWE5RSGCO5YIKX/bundle.json","state_url":"https://pith.science/pith/IEXJWL5P72J5FWE5RSGCO5YIKX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IEXJWL5P72J5FWE5RSGCO5YIKX/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":"2026-08-19T05:11:00Z","links":{"resolver":"https://pith.science/pith/IEXJWL5P72J5FWE5RSGCO5YIKX","bundle":"https://pith.science/pith/IEXJWL5P72J5FWE5RSGCO5YIKX/bundle.json","state":"https://pith.science/pith/IEXJWL5P72J5FWE5RSGCO5YIKX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IEXJWL5P72J5FWE5RSGCO5YIKX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IEXJWL5P72J5FWE5RSGCO5YIKX","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":"3448419a1a8ff51091dcf0bf140e4474e1081e7aa8f7a19eb31ea84ee0bbdecc","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-23T07:29:41Z","title_canon_sha256":"e28f0abf0690609597799aea6b4a19766246d9ed7c96d08e98084e42a14fdd68"},"schema_version":"1.0","source":{"id":"2403.15747","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15747","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15747v1","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15747","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"pith_short_12","alias_value":"IEXJWL5P72J5","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"pith_short_16","alias_value":"IEXJWL5P72J5FWE5","created_at":"2026-07-05T08:00:05Z"},{"alias_kind":"pith_short_8","alias_value":"IEXJWL5P","created_at":"2026-07-05T08:00:05Z"}],"graph_snapshots":[{"event_id":"sha256:6f58745b8b53e345478dbc3777d0e03bd8622dd7e0d24c0917ee4f5f02cbaa8e","target":"graph","created_at":"2026-07-05T08:00:05Z","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/2403.15747/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code large language models mark a pivotal breakthrough in artificial intelligence. They are specifically crafted to understand and generate programming languages, significantly boosting the efficiency of coding development workflows. In this technical report, we present CodeShell-Base, a seven billion-parameter foundation model with 8K context length, showcasing exceptional proficiency in code comprehension. By incorporating Grouped-Query Attention and Rotary Positional Embedding into GPT-2, CodeShell-Base integrates the structural merits of StarCoder and CodeLlama and forms its unique archite","authors_text":"Chang Gao, Rui Xie, Shikun Zhang, Wei Ye, Zhengran Zeng, Zhuohao Yu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15747","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":"sha256:905c3ad493fb13fafe058f7d87d0266319200d99a971687b707472f434f8ba0d","target":"record","created_at":"2026-07-05T08:00:05Z","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":"3448419a1a8ff51091dcf0bf140e4474e1081e7aa8f7a19eb31ea84ee0bbdecc","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-23T07:29:41Z","title_canon_sha256":"e28f0abf0690609597799aea6b4a19766246d9ed7c96d08e98084e42a14fdd68"},"schema_version":"1.0","source":{"id":"2403.15747","kind":"arxiv","version":1}},"canonical_sha256":"412e9b2faffe93d2d89d8c8c27770855fd2188c372452d3c4d7982c68524cb2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"412e9b2faffe93d2d89d8c8c27770855fd2188c372452d3c4d7982c68524cb2b","first_computed_at":"2026-07-05T08:00:05.687725Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:00:05.687725Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+5Q3XrriqEqXpiN84ULX3cIxw11cEGMbI+QVRODNO2fiz9zcsm1RAaPVikud/NJTC1/DmeWhzfPCXNMh0tZuCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:00:05.688134Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.15747","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:905c3ad493fb13fafe058f7d87d0266319200d99a971687b707472f434f8ba0d","sha256:6f58745b8b53e345478dbc3777d0e03bd8622dd7e0d24c0917ee4f5f02cbaa8e"],"state_sha256":"b8d50c5957112b4c4aaca023d6ec41ef2d67bdf025483927dcfefa98fed6f1e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZBdwktd9o2EFNA20MgCSN0KmdLOaOEJDzLOUl6jH4vJD1kDB3vHqnghuh/cmSfVTcsxPtNjS/lBt6PZlP4c9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T05:11:00.939514Z","bundle_sha256":"1cea8a0b6319668729f1a7f5265090c33db06474f54a2944e1eb16ac9fffa880"}}