{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IH25KMSADK2GREY5CIMEZ332LI","short_pith_number":"pith:IH25KMSA","canonical_record":{"source":{"id":"2501.17549","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T10:35:41Z","cross_cats_sorted":[],"title_canon_sha256":"4aefa8a0174789283d09c6665fceea2be5e998024b41a1d5d74406db89702da7","abstract_canon_sha256":"87b0af2baad1d734b9fff35d68270a2d86b801bb3f6bdedda03111bb7de33e74"},"schema_version":"1.0"},"canonical_sha256":"41f5d532401ab468931d12184cef7a5a3f6e3149b1f5c4d587769fe27c93391e","source":{"kind":"arxiv","id":"2501.17549","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17549","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17549v2","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17549","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"IH25KMSADK2G","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"pith_short_16","alias_value":"IH25KMSADK2GREY5","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"pith_short_8","alias_value":"IH25KMSA","created_at":"2026-05-20T00:04:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IH25KMSADK2GREY5CIMEZ332LI","target":"record","payload":{"canonical_record":{"source":{"id":"2501.17549","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T10:35:41Z","cross_cats_sorted":[],"title_canon_sha256":"4aefa8a0174789283d09c6665fceea2be5e998024b41a1d5d74406db89702da7","abstract_canon_sha256":"87b0af2baad1d734b9fff35d68270a2d86b801bb3f6bdedda03111bb7de33e74"},"schema_version":"1.0"},"canonical_sha256":"41f5d532401ab468931d12184cef7a5a3f6e3149b1f5c4d587769fe27c93391e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:07.603251Z","signature_b64":"pR3/iJ2zmb+k8ROZDsBnFtnieUBizkU7FDCAPBLqKwJEkrxNrAjj9YK+/R1Ij8mtnsye1Lqo82HkvV4ntMy+CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41f5d532401ab468931d12184cef7a5a3f6e3149b1f5c4d587769fe27c93391e","last_reissued_at":"2026-05-20T00:04:07.602496Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:07.602496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.17549","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":"2026-05-20T00:04:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cfPexTJ3hBp1q4Lmj0b3V/NgLTRBI9PgJujlD421URlGaSeJqOU2hAx6MF94auW9wmryxsA+ja0ac9o9UvIEAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T13:08:16.673563Z"},"content_sha256":"d3b538d231821ae5fecad444b868adc6c33abd45a5c58e570c65ab2d5e77071f","schema_version":"1.0","event_id":"sha256:d3b538d231821ae5fecad444b868adc6c33abd45a5c58e570c65ab2d5e77071f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IH25KMSADK2GREY5CIMEZ332LI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Byungyoon Park, Wooju Kim, Wooyoung Kim","submitted_at":"2025-01-29T10:35:41Z","abstract_excerpt":"Graph-structured data plays a vital role in numerous domains, such as social networks, citation networks, commonsense reasoning graphs and knowledge graphs. While graph neural networks have been employed for graph processing, recent advancements have explored integrating large language models for graph-based tasks. In this paper, we propose a novel approach named Learnable Graph Pooling Token (LGPT), which addresses the limitations of the scalability issues in node-level projection and information loss in graph-level projection. LGPT enables flexible and efficient graph representation by intro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17549","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/2501.17549/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":"2026-05-20T00:04:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RE0enay0LYmttVZMxJDDnC/A2n9ecgsoihuVB6RUfrR9JG0nNk6hOCpiseFVEnS27ug/FaddcABAQdvHgzw3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T13:08:16.674308Z"},"content_sha256":"7f00fb7b3e9222d865c9ede0a70cb6e43c6fb9264e00ede4dbc891d3d9141c14","schema_version":"1.0","event_id":"sha256:7f00fb7b3e9222d865c9ede0a70cb6e43c6fb9264e00ede4dbc891d3d9141c14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IH25KMSADK2GREY5CIMEZ332LI/bundle.json","state_url":"https://pith.science/pith/IH25KMSADK2GREY5CIMEZ332LI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IH25KMSADK2GREY5CIMEZ332LI/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":"2026-05-23T13:08:16Z","links":{"resolver":"https://pith.science/pith/IH25KMSADK2GREY5CIMEZ332LI","bundle":"https://pith.science/pith/IH25KMSADK2GREY5CIMEZ332LI/bundle.json","state":"https://pith.science/pith/IH25KMSADK2GREY5CIMEZ332LI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IH25KMSADK2GREY5CIMEZ332LI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IH25KMSADK2GREY5CIMEZ332LI","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":"87b0af2baad1d734b9fff35d68270a2d86b801bb3f6bdedda03111bb7de33e74","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T10:35:41Z","title_canon_sha256":"4aefa8a0174789283d09c6665fceea2be5e998024b41a1d5d74406db89702da7"},"schema_version":"1.0","source":{"id":"2501.17549","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17549","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17549v2","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17549","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"IH25KMSADK2G","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"pith_short_16","alias_value":"IH25KMSADK2GREY5","created_at":"2026-05-20T00:04:07Z"},{"alias_kind":"pith_short_8","alias_value":"IH25KMSA","created_at":"2026-05-20T00:04:07Z"}],"graph_snapshots":[{"event_id":"sha256:7f00fb7b3e9222d865c9ede0a70cb6e43c6fb9264e00ede4dbc891d3d9141c14","target":"graph","created_at":"2026-05-20T00:04:07Z","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/2501.17549/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph-structured data plays a vital role in numerous domains, such as social networks, citation networks, commonsense reasoning graphs and knowledge graphs. While graph neural networks have been employed for graph processing, recent advancements have explored integrating large language models for graph-based tasks. In this paper, we propose a novel approach named Learnable Graph Pooling Token (LGPT), which addresses the limitations of the scalability issues in node-level projection and information loss in graph-level projection. LGPT enables flexible and efficient graph representation by intro","authors_text":"Byungyoon Park, Wooju Kim, Wooyoung Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T10:35:41Z","title":"Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17549","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:d3b538d231821ae5fecad444b868adc6c33abd45a5c58e570c65ab2d5e77071f","target":"record","created_at":"2026-05-20T00:04:07Z","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":"87b0af2baad1d734b9fff35d68270a2d86b801bb3f6bdedda03111bb7de33e74","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T10:35:41Z","title_canon_sha256":"4aefa8a0174789283d09c6665fceea2be5e998024b41a1d5d74406db89702da7"},"schema_version":"1.0","source":{"id":"2501.17549","kind":"arxiv","version":2}},"canonical_sha256":"41f5d532401ab468931d12184cef7a5a3f6e3149b1f5c4d587769fe27c93391e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41f5d532401ab468931d12184cef7a5a3f6e3149b1f5c4d587769fe27c93391e","first_computed_at":"2026-05-20T00:04:07.602496Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:07.602496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pR3/iJ2zmb+k8ROZDsBnFtnieUBizkU7FDCAPBLqKwJEkrxNrAjj9YK+/R1Ij8mtnsye1Lqo82HkvV4ntMy+CA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:07.603251Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.17549","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3b538d231821ae5fecad444b868adc6c33abd45a5c58e570c65ab2d5e77071f","sha256:7f00fb7b3e9222d865c9ede0a70cb6e43c6fb9264e00ede4dbc891d3d9141c14"],"state_sha256":"6846cb7eb39657ae185839b9606ea6365b04c4ff7f6d236ecac995efd1b455f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IznSoIGbb4h3XClKTj48m4Y7dnxfSU9F6oEshL/hjYDTso9ia360g5OboEMRFcZ3uEB1Twqo4SUROqCNhl7kAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T13:08:16.679105Z","bundle_sha256":"14a9941560b2c17ce7c6e12584b7d001cff9aac52904802ded9ff92692886b5d"}}