{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GKYFRXTQJB7WKU4TSKI7P3GQQA","short_pith_number":"pith:GKYFRXTQ","canonical_record":{"source":{"id":"2311.09278","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-15T18:59:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2fb474d1c8f5766db74a798dbe687af4f4d0da13dd4fd580d0134f5097afbbc0","abstract_canon_sha256":"cb960e53e7f24f4f63c95b6df9edbf28838576a1d030d6112eab1db78f8c108b"},"schema_version":"1.0"},"canonical_sha256":"32b058de70487f6553939291f7ecd08025918c97b8a2689439f9a0bd0f0c94ed","source":{"kind":"arxiv","id":"2311.09278","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.09278","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"arxiv_version","alias_value":"2311.09278v2","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09278","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"pith_short_12","alias_value":"GKYFRXTQJB7W","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"pith_short_16","alias_value":"GKYFRXTQJB7WKU4T","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"pith_short_8","alias_value":"GKYFRXTQ","created_at":"2026-07-05T07:46:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GKYFRXTQJB7WKU4TSKI7P3GQQA","target":"record","payload":{"canonical_record":{"source":{"id":"2311.09278","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-15T18:59:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2fb474d1c8f5766db74a798dbe687af4f4d0da13dd4fd580d0134f5097afbbc0","abstract_canon_sha256":"cb960e53e7f24f4f63c95b6df9edbf28838576a1d030d6112eab1db78f8c108b"},"schema_version":"1.0"},"canonical_sha256":"32b058de70487f6553939291f7ecd08025918c97b8a2689439f9a0bd0f0c94ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:46:26.627834Z","signature_b64":"mAzsRi5jI7sMy7/K5Ojw7FVjDlUf/QQD+RlJnj6OLpyFD6cWORyF1qeM6qLZ4cnbKi7ADnU6HqANCiZGEqCsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32b058de70487f6553939291f7ecd08025918c97b8a2689439f9a0bd0f0c94ed","last_reissued_at":"2026-07-05T07:46:26.627119Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:46:26.627119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.09278","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":"2026-07-05T07:46:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OUIFgjIPcHjhc3av3/QXc97BGZ27JYkaTG96Equba6deNhr7zAly+LFdRE4ZRDKZnsVryOspYysaF8K+qwo8Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:55:00.254399Z"},"content_sha256":"1de8e4a5dd47c4b3cd21de1492edacbcb109a2d27ad29968bab77a700b8e3ea8","schema_version":"1.0","event_id":"sha256:1de8e4a5dd47c4b3cd21de1492edacbcb109a2d27ad29968bab77a700b8e3ea8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GKYFRXTQJB7WKU4TSKI7P3GQQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fangzhi Xu, Fei Yuan, Jun Liu, Qika Lin, Qiushi Sun, Shuai Yuan, Siyu Ren, Yu Qiao, Zhiyong Wu","submitted_at":"2023-11-15T18:59:56Z","abstract_excerpt":"Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expressing world knowledge that extends beyond the boundaries of natural language(e.g., chemical molecular formula). Injecting a collection of symbolic data directly into the training of LLMs can be problematic, as it disregards the synergies among different symbolic families and overlooks the need for a balanced mixture of natural and symbolic data. In this work, we tackle these challenges from both a data and framework "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09278","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/2311.09278/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":"2026-07-05T07:46:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/rj8sRJpVQRbIuxnMtOuh+TD1IrBi7xj9Z/qS69ifb2sBuW02pLiRCw3AqWWlP5I/ypep4Po4/Kguyexj/meBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:55:00.254929Z"},"content_sha256":"8639f37f41aec129a910cc1fea4b39700620ded105280d213a6c168db4cb50ab","schema_version":"1.0","event_id":"sha256:8639f37f41aec129a910cc1fea4b39700620ded105280d213a6c168db4cb50ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA/bundle.json","state_url":"https://pith.science/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA/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":"2026-08-06T21:55:00Z","links":{"resolver":"https://pith.science/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA","bundle":"https://pith.science/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA/bundle.json","state":"https://pith.science/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GKYFRXTQJB7WKU4TSKI7P3GQQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GKYFRXTQJB7WKU4TSKI7P3GQQA","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":"cb960e53e7f24f4f63c95b6df9edbf28838576a1d030d6112eab1db78f8c108b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-15T18:59:56Z","title_canon_sha256":"2fb474d1c8f5766db74a798dbe687af4f4d0da13dd4fd580d0134f5097afbbc0"},"schema_version":"1.0","source":{"id":"2311.09278","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.09278","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"arxiv_version","alias_value":"2311.09278v2","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09278","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"pith_short_12","alias_value":"GKYFRXTQJB7W","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"pith_short_16","alias_value":"GKYFRXTQJB7WKU4T","created_at":"2026-07-05T07:46:26Z"},{"alias_kind":"pith_short_8","alias_value":"GKYFRXTQ","created_at":"2026-07-05T07:46:26Z"}],"graph_snapshots":[{"event_id":"sha256:8639f37f41aec129a910cc1fea4b39700620ded105280d213a6c168db4cb50ab","target":"graph","created_at":"2026-07-05T07:46:26Z","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/2311.09278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expressing world knowledge that extends beyond the boundaries of natural language(e.g., chemical molecular formula). Injecting a collection of symbolic data directly into the training of LLMs can be problematic, as it disregards the synergies among different symbolic families and overlooks the need for a balanced mixture of natural and symbolic data. In this work, we tackle these challenges from both a data and framework ","authors_text":"Fangzhi Xu, Fei Yuan, Jun Liu, Qika Lin, Qiushi Sun, Shuai Yuan, Siyu Ren, Yu Qiao, Zhiyong Wu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-15T18:59:56Z","title":"Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09278","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":"sha256:1de8e4a5dd47c4b3cd21de1492edacbcb109a2d27ad29968bab77a700b8e3ea8","target":"record","created_at":"2026-07-05T07:46:26Z","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":"cb960e53e7f24f4f63c95b6df9edbf28838576a1d030d6112eab1db78f8c108b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-15T18:59:56Z","title_canon_sha256":"2fb474d1c8f5766db74a798dbe687af4f4d0da13dd4fd580d0134f5097afbbc0"},"schema_version":"1.0","source":{"id":"2311.09278","kind":"arxiv","version":2}},"canonical_sha256":"32b058de70487f6553939291f7ecd08025918c97b8a2689439f9a0bd0f0c94ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32b058de70487f6553939291f7ecd08025918c97b8a2689439f9a0bd0f0c94ed","first_computed_at":"2026-07-05T07:46:26.627119Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:46:26.627119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mAzsRi5jI7sMy7/K5Ojw7FVjDlUf/QQD+RlJnj6OLpyFD6cWORyF1qeM6qLZ4cnbKi7ADnU6HqANCiZGEqCsAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:46:26.627834Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.09278","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1de8e4a5dd47c4b3cd21de1492edacbcb109a2d27ad29968bab77a700b8e3ea8","sha256:8639f37f41aec129a910cc1fea4b39700620ded105280d213a6c168db4cb50ab"],"state_sha256":"0e24a9edf6277d30754cc2f05f85ce3c90ec8c4746cd03bbcde8f0a94db4ffcc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3x9o+NYjZjneyej/MXF//xsRx4/165dTVCDliiqIGWvDC1cfbcsbYIhvEA7AzKG++Ge3Xf1HNh/QUUUa46+dAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:55:00.260658Z","bundle_sha256":"2b45334f4de9c2d68b5c46ee07ca7758260e5d1f927b4e2c24dcf2e01f7bc2b9"}}