{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JYXAJXE5JEF4TM7FEAP46ZKQ3A","short_pith_number":"pith:JYXAJXE5","canonical_record":{"source":{"id":"2501.15755","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T03:50:30Z","cross_cats_sorted":[],"title_canon_sha256":"89e4c2a1d61c6aa506259dff81a78b9c6becc1cca88951074edc59b8b7bce9b6","abstract_canon_sha256":"c81bbfe4eea44acc868c16e4928e8c28004d2a669980bbcbb7baabc6ed95096c"},"schema_version":"1.0"},"canonical_sha256":"4e2e04dc9d490bc9b3e5201fcf6550d81e333787046bf8e7dbb4c82fd5c774db","source":{"kind":"arxiv","id":"2501.15755","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15755","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15755v1","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15755","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_12","alias_value":"JYXAJXE5JEF4","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_16","alias_value":"JYXAJXE5JEF4TM7F","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_8","alias_value":"JYXAJXE5","created_at":"2026-07-05T10:05:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JYXAJXE5JEF4TM7FEAP46ZKQ3A","target":"record","payload":{"canonical_record":{"source":{"id":"2501.15755","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T03:50:30Z","cross_cats_sorted":[],"title_canon_sha256":"89e4c2a1d61c6aa506259dff81a78b9c6becc1cca88951074edc59b8b7bce9b6","abstract_canon_sha256":"c81bbfe4eea44acc868c16e4928e8c28004d2a669980bbcbb7baabc6ed95096c"},"schema_version":"1.0"},"canonical_sha256":"4e2e04dc9d490bc9b3e5201fcf6550d81e333787046bf8e7dbb4c82fd5c774db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:50.102638Z","signature_b64":"0j0Yl4FiYTgsosTW40ljAUp1o1Rw8dyUCRQzTxy0c/JZ4x4VhFdj3VeBkrpMCJkDP9KVbHuvtN/UdANcRkuEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e2e04dc9d490bc9b3e5201fcf6550d81e333787046bf8e7dbb4c82fd5c774db","last_reissued_at":"2026-07-05T10:05:50.102167Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:50.102167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.15755","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":"2026-07-05T10:05:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pi4zRXEiUlws/SjR1tcpMGBiXXtwlTfjvL8V+KeI/irkftWG/4nvMDZGDO2wqGupa+fwwPqhGAlfZz6FdZPyCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:16:33.534853Z"},"content_sha256":"391b54acc53a26efebe3a99af2340cb005327bde99915c8dc8d7ea00623ecf6b","schema_version":"1.0","event_id":"sha256:391b54acc53a26efebe3a99af2340cb005327bde99915c8dc8d7ea00623ecf6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JYXAJXE5JEF4TM7FEAP46ZKQ3A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jing Ma, Qiaoyu Tan, Yi Fang, Yuanfu Sun, Zhengnan Ma","submitted_at":"2025-01-27T03:50:30Z","abstract_excerpt":"The growing importance of textual and relational systems has driven interest in enhancing large language models (LLMs) for graph-structured data, particularly Text-Attributed Graphs (TAGs), where samples are represented by textual descriptions interconnected by edges. While research has largely focused on developing specialized graph LLMs through task-specific instruction tuning, a comprehensive benchmark for evaluating LLMs solely through prompt design remains surprisingly absent. Without such a carefully crafted evaluation benchmark, most if not all, tailored graph LLMs are compared against "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15755","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/2501.15755/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":"2026-07-05T10:05:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GIraWFmGe4x2egqKH6cv0LYVcsRsEEIHG9JKj+MBdV5/VkYrwKsJ8FKrWZU4F/5Izh20kuS2JdDOL1d26YOLAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:16:33.535427Z"},"content_sha256":"089a6cb1b35971f9b19c772b1b45658512eeabd198ece0a9610dae8b0b1a4c9b","schema_version":"1.0","event_id":"sha256:089a6cb1b35971f9b19c772b1b45658512eeabd198ece0a9610dae8b0b1a4c9b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A/bundle.json","state_url":"https://pith.science/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A/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":"2026-08-11T06:16:33Z","links":{"resolver":"https://pith.science/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A","bundle":"https://pith.science/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A/bundle.json","state":"https://pith.science/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JYXAJXE5JEF4TM7FEAP46ZKQ3A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JYXAJXE5JEF4TM7FEAP46ZKQ3A","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":"c81bbfe4eea44acc868c16e4928e8c28004d2a669980bbcbb7baabc6ed95096c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T03:50:30Z","title_canon_sha256":"89e4c2a1d61c6aa506259dff81a78b9c6becc1cca88951074edc59b8b7bce9b6"},"schema_version":"1.0","source":{"id":"2501.15755","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15755","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15755v1","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15755","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_12","alias_value":"JYXAJXE5JEF4","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_16","alias_value":"JYXAJXE5JEF4TM7F","created_at":"2026-07-05T10:05:50Z"},{"alias_kind":"pith_short_8","alias_value":"JYXAJXE5","created_at":"2026-07-05T10:05:50Z"}],"graph_snapshots":[{"event_id":"sha256:089a6cb1b35971f9b19c772b1b45658512eeabd198ece0a9610dae8b0b1a4c9b","target":"graph","created_at":"2026-07-05T10:05:50Z","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/2501.15755/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing importance of textual and relational systems has driven interest in enhancing large language models (LLMs) for graph-structured data, particularly Text-Attributed Graphs (TAGs), where samples are represented by textual descriptions interconnected by edges. While research has largely focused on developing specialized graph LLMs through task-specific instruction tuning, a comprehensive benchmark for evaluating LLMs solely through prompt design remains surprisingly absent. Without such a carefully crafted evaluation benchmark, most if not all, tailored graph LLMs are compared against ","authors_text":"Jing Ma, Qiaoyu Tan, Yi Fang, Yuanfu Sun, Zhengnan Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T03:50:30Z","title":"GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15755","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":"sha256:391b54acc53a26efebe3a99af2340cb005327bde99915c8dc8d7ea00623ecf6b","target":"record","created_at":"2026-07-05T10:05:50Z","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":"c81bbfe4eea44acc868c16e4928e8c28004d2a669980bbcbb7baabc6ed95096c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T03:50:30Z","title_canon_sha256":"89e4c2a1d61c6aa506259dff81a78b9c6becc1cca88951074edc59b8b7bce9b6"},"schema_version":"1.0","source":{"id":"2501.15755","kind":"arxiv","version":1}},"canonical_sha256":"4e2e04dc9d490bc9b3e5201fcf6550d81e333787046bf8e7dbb4c82fd5c774db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e2e04dc9d490bc9b3e5201fcf6550d81e333787046bf8e7dbb4c82fd5c774db","first_computed_at":"2026-07-05T10:05:50.102167Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:50.102167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0j0Yl4FiYTgsosTW40ljAUp1o1Rw8dyUCRQzTxy0c/JZ4x4VhFdj3VeBkrpMCJkDP9KVbHuvtN/UdANcRkuEDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:50.102638Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.15755","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:391b54acc53a26efebe3a99af2340cb005327bde99915c8dc8d7ea00623ecf6b","sha256:089a6cb1b35971f9b19c772b1b45658512eeabd198ece0a9610dae8b0b1a4c9b"],"state_sha256":"d84e166f049ba216c07ecd5c6aed3ed4b91ab45d88fe3934585965e98e77f836"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C2SKSpsv6qCbi4Jj6yfVDGy2jOWP6o1dzJUVUFAn/lsnXH6WhAInkNDKvMMzSH4YT4hXu8SZn9FD5fUwJBDnAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:16:33.540421Z","bundle_sha256":"26f2bed4487ada8fad3914d65baa5b34b62a8262add88e2064e1df32872a9d08"}}