{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7Z5VT4N3GL3HAVT55OQQ4WP4RK","short_pith_number":"pith:7Z5VT4N3","canonical_record":{"source":{"id":"2402.02130","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-03T12:19:47Z","cross_cats_sorted":[],"title_canon_sha256":"a6d72f07ec1d80c3c7fdb378431c782fd84f569aa088919cf89f87915800dedf","abstract_canon_sha256":"329aeea9762500ba890a3faf12b931ac858520f31b29ee2ee413ba16e39de3c0"},"schema_version":"1.0"},"canonical_sha256":"fe7b59f1bb32f670567deba10e59fc8aa95867ea60461e1aed0753fd3b5add66","source":{"kind":"arxiv","id":"2402.02130","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02130","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02130v5","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02130","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"pith_short_12","alias_value":"7Z5VT4N3GL3H","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"pith_short_16","alias_value":"7Z5VT4N3GL3HAVT5","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"pith_short_8","alias_value":"7Z5VT4N3","created_at":"2026-07-05T09:28:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7Z5VT4N3GL3HAVT55OQQ4WP4RK","target":"record","payload":{"canonical_record":{"source":{"id":"2402.02130","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-03T12:19:47Z","cross_cats_sorted":[],"title_canon_sha256":"a6d72f07ec1d80c3c7fdb378431c782fd84f569aa088919cf89f87915800dedf","abstract_canon_sha256":"329aeea9762500ba890a3faf12b931ac858520f31b29ee2ee413ba16e39de3c0"},"schema_version":"1.0"},"canonical_sha256":"fe7b59f1bb32f670567deba10e59fc8aa95867ea60461e1aed0753fd3b5add66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:47.412767Z","signature_b64":"ZgERxsifRBAsRFNHURQ1YQIzu94HJ1IGMqZWQNnFwdSmZifPW/xSY2+sKnQm2O8yRvDu1IeDnNy19e3k6YoXDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe7b59f1bb32f670567deba10e59fc8aa95867ea60461e1aed0753fd3b5add66","last_reissued_at":"2026-07-05T09:28:47.412279Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:47.412279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.02130","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:28:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T1mWgfjbcdv0fxlRU2HfqT1b9GMjx7//860H0gvu62uI/jq3Zsm9ptPMmSFMdn5Nor+JumS2w8ofj+5sW71JCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:28:22.938611Z"},"content_sha256":"bedb592eca869b70cd452717b4a39dd56447073b31f004361352579cc6b8a1f8","schema_version":"1.0","event_id":"sha256:bedb592eca869b70cd452717b4a39dd56447073b31f004361352579cc6b8a1f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7Z5VT4N3GL3HAVT55OQQ4WP4RK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"James T. Kwok, Qi Wu, Shuai Fu, Weisen Jiang, Yanbin Wei, Yu Zhang, Zejian Zhang, Zhixiong Zeng","submitted_at":"2024-02-03T12:19:47Z","abstract_excerpt":"Large Language Models (LLMs) are increasingly used for various tasks with graph structures. Though LLMs can process graph information in a textual format, they overlook the rich vision modality, which is an intuitive way for humans to comprehend structural information and conduct general graph reasoning. The potential benefits and capabilities of representing graph structures as visual images (i.e., $\\textit{visual graph}$) are still unexplored. To fill the gap, we innovatively propose an end-to-end framework, called $\\textbf{G}$raph to v$\\textbf{I}$sual and $\\textbf{T}$extual Integr$\\textbf{A"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02130","kind":"arxiv","version":5},"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/2402.02130/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":"2026-07-05T09:28:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YQN8ImuI47rMOuwEmORR4h0Tia8zFitO3hCJjwJKTxxI5AeKyKtv4w27Mtby3TK7b9BXW2WDinxSUq5wFsFVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:28:22.939107Z"},"content_sha256":"cf354443e84b11cefb830196939628e3b6654147ce1f6eafe617866462b988bf","schema_version":"1.0","event_id":"sha256:cf354443e84b11cefb830196939628e3b6654147ce1f6eafe617866462b988bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK/bundle.json","state_url":"https://pith.science/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK/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":"2026-08-10T10:28:22Z","links":{"resolver":"https://pith.science/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK","bundle":"https://pith.science/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK/bundle.json","state":"https://pith.science/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7Z5VT4N3GL3HAVT55OQQ4WP4RK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7Z5VT4N3GL3HAVT55OQQ4WP4RK","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":"329aeea9762500ba890a3faf12b931ac858520f31b29ee2ee413ba16e39de3c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-03T12:19:47Z","title_canon_sha256":"a6d72f07ec1d80c3c7fdb378431c782fd84f569aa088919cf89f87915800dedf"},"schema_version":"1.0","source":{"id":"2402.02130","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02130","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02130v5","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02130","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"pith_short_12","alias_value":"7Z5VT4N3GL3H","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"pith_short_16","alias_value":"7Z5VT4N3GL3HAVT5","created_at":"2026-07-05T09:28:47Z"},{"alias_kind":"pith_short_8","alias_value":"7Z5VT4N3","created_at":"2026-07-05T09:28:47Z"}],"graph_snapshots":[{"event_id":"sha256:cf354443e84b11cefb830196939628e3b6654147ce1f6eafe617866462b988bf","target":"graph","created_at":"2026-07-05T09:28:47Z","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/2402.02130/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are increasingly used for various tasks with graph structures. Though LLMs can process graph information in a textual format, they overlook the rich vision modality, which is an intuitive way for humans to comprehend structural information and conduct general graph reasoning. The potential benefits and capabilities of representing graph structures as visual images (i.e., $\\textit{visual graph}$) are still unexplored. To fill the gap, we innovatively propose an end-to-end framework, called $\\textbf{G}$raph to v$\\textbf{I}$sual and $\\textbf{T}$extual Integr$\\textbf{A","authors_text":"James T. Kwok, Qi Wu, Shuai Fu, Weisen Jiang, Yanbin Wei, Yu Zhang, Zejian Zhang, Zhixiong Zeng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-03T12:19:47Z","title":"GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02130","kind":"arxiv","version":5},"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:bedb592eca869b70cd452717b4a39dd56447073b31f004361352579cc6b8a1f8","target":"record","created_at":"2026-07-05T09:28:47Z","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":"329aeea9762500ba890a3faf12b931ac858520f31b29ee2ee413ba16e39de3c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-03T12:19:47Z","title_canon_sha256":"a6d72f07ec1d80c3c7fdb378431c782fd84f569aa088919cf89f87915800dedf"},"schema_version":"1.0","source":{"id":"2402.02130","kind":"arxiv","version":5}},"canonical_sha256":"fe7b59f1bb32f670567deba10e59fc8aa95867ea60461e1aed0753fd3b5add66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe7b59f1bb32f670567deba10e59fc8aa95867ea60461e1aed0753fd3b5add66","first_computed_at":"2026-07-05T09:28:47.412279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:47.412279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZgERxsifRBAsRFNHURQ1YQIzu94HJ1IGMqZWQNnFwdSmZifPW/xSY2+sKnQm2O8yRvDu1IeDnNy19e3k6YoXDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:47.412767Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.02130","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bedb592eca869b70cd452717b4a39dd56447073b31f004361352579cc6b8a1f8","sha256:cf354443e84b11cefb830196939628e3b6654147ce1f6eafe617866462b988bf"],"state_sha256":"2a76accb40a41b2143c97d302de29fd92893b61e5873a9b97a57b268be880c17"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cdYqq7NFj5YGE8O3WfLM6cMK4Uva3+5Soi9Ui4IjXkElPCMnogphg52ed0FMGXWipI1Bn4c7KHnAN2MY5wtsDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:28:22.942499Z","bundle_sha256":"9a52e9a58920d132e30d5b9fac80479c652f46ab7713b4a0a82852988de56a5c"}}