{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:E23HKSJGTHKHKGLD6Y4DEZDXVL","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":"a31907bdf2908aa74216b5b5fef5fe5c8709ed35ce6da1cfc9b9f51460c66c32","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-02T07:52:54Z","title_canon_sha256":"ee8173909c036a9ca41206e17d869777795580d38cb1fa4ec9e06b609a5f14a2"},"schema_version":"1.0","source":{"id":"2606.03290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.03290","created_at":"2026-06-03T01:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.03290v1","created_at":"2026-06-03T01:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03290","created_at":"2026-06-03T01:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"E23HKSJGTHKH","created_at":"2026-06-03T01:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"E23HKSJGTHKHKGLD","created_at":"2026-06-03T01:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"E23HKSJG","created_at":"2026-06-03T01:05:54Z"}],"graph_snapshots":[{"event_id":"sha256:3703ea79c4819e81c9727f564a32f02230a3a70ffded7c735afaf232da6a6340","target":"graph","created_at":"2026-06-03T01:05:54Z","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/2606.03290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Foundation Models (GFMs), built upon the Pre-training and Adaptation paradigm, have emerged as a research hotspot in graph learning. For GNN-based GFMs, graph prompt tuning has become the prevailing adaptation method for downstream tasks. Although recent methods explain why graph prompt tuning works, how to rigorously measure its adaptation capacity remains an open problem. Addressing this problem is critical for understanding the capability limits of graph prompt tuning and for developing more powerful adaptation methods. In this paper, we propose Prismatic Space Theory (PS-Theory), a n","authors_text":"Chuan Zhou, Dun Ma, Shuai Zhang, Wei Chen, Wenguo Yang, Xiangyu Zhao, Xixun Lin, Yancheng Chen, Yang Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-02T07:52:54Z","title":"Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03290","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":"sha256:8f4a17f036db57f0a170649ff033868eda2577887d96a6c6bc4e21aa8f4cf382","target":"record","created_at":"2026-06-03T01:05:54Z","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":"a31907bdf2908aa74216b5b5fef5fe5c8709ed35ce6da1cfc9b9f51460c66c32","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-02T07:52:54Z","title_canon_sha256":"ee8173909c036a9ca41206e17d869777795580d38cb1fa4ec9e06b609a5f14a2"},"schema_version":"1.0","source":{"id":"2606.03290","kind":"arxiv","version":1}},"canonical_sha256":"26b675492699d4751963f638326477aad36606e104df5a037a4c89d3fb5540ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26b675492699d4751963f638326477aad36606e104df5a037a4c89d3fb5540ff","first_computed_at":"2026-06-03T01:05:54.107524Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:54.107524Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zllk/94mnIdWQ74KCzEBd7Kz9OTgFxaAWeDfTmTDOyZibXM2KmnYu6XM9acnCc0kA+Sv6lGL7UXQTVo8FVuIAw==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:54.108052Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.03290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f4a17f036db57f0a170649ff033868eda2577887d96a6c6bc4e21aa8f4cf382","sha256:3703ea79c4819e81c9727f564a32f02230a3a70ffded7c735afaf232da6a6340"],"state_sha256":"12ff72e1f8e3f0b1b821944c32ebe74e1fcd519e9af79851df8f0946d7db7342"}