{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XQUQ5OAMQJM25GKNPXS33NRC3O","short_pith_number":"pith:XQUQ5OAM","canonical_record":{"source":{"id":"2605.25541","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2026-05-25T07:58:26Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"eda3dbd1d9ea534039f5fc606e45ba69a8cee3e9491d95587c93d48d4ad46726","abstract_canon_sha256":"d0caf7a8daa4c1cde7435fefe75505b6fa7dba7361357556dbda693ec1c7aaf6"},"schema_version":"1.0"},"canonical_sha256":"bc290eb80c8259ae994d7de5bdb622dbb7ff3d7e9343801de8165e544dc08b35","source":{"kind":"arxiv","id":"2605.25541","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25541","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25541v1","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25541","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"XQUQ5OAMQJM2","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"XQUQ5OAMQJM25GKN","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"XQUQ5OAM","created_at":"2026-05-26T02:04:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XQUQ5OAMQJM25GKNPXS33NRC3O","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25541","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2026-05-25T07:58:26Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"eda3dbd1d9ea534039f5fc606e45ba69a8cee3e9491d95587c93d48d4ad46726","abstract_canon_sha256":"d0caf7a8daa4c1cde7435fefe75505b6fa7dba7361357556dbda693ec1c7aaf6"},"schema_version":"1.0"},"canonical_sha256":"bc290eb80c8259ae994d7de5bdb622dbb7ff3d7e9343801de8165e544dc08b35","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:41.908894Z","signature_b64":"jFGIAFsygDzDn7WxYa6AQ386G0xMX9cg3a6mOPPQscRYXxmpNX0egU0js44HudZnUbQDx02XQuP3W5FpuMEaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc290eb80c8259ae994d7de5bdb622dbb7ff3d7e9343801de8165e544dc08b35","last_reissued_at":"2026-05-26T02:04:41.908040Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:41.908040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25541","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":"2026-05-26T02:04:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1eydiqNYwYxWUQRWj+DrNkIBQ05RmUNl+pFyt8YpwYI6q42Y3vuPkeyda8QtybDRiFKRKY9V9Hz5H5ufUZUHAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:53:30.068630Z"},"content_sha256":"f22873e22d10475b94ee96ffd099f481d195865b8a4cd5c2ff0ab82f1c4b0402","schema_version":"1.0","event_id":"sha256:f22873e22d10475b94ee96ffd099f481d195865b8a4cd5c2ff0ab82f1c4b0402"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XQUQ5OAMQJM25GKNPXS33NRC3O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TopoAlign: Topology-Aware Visual Representation Alignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","cs.LG"],"primary_cat":"cs.CG","authors_text":"Bei Wang, Mennatallah El-Assady, Rita Sevastjanova, Xinyuan Yan","submitted_at":"2026-05-25T07:58:26Z","abstract_excerpt":"Neural networks encode inputs as high-dimensional vectors, known as representations, that capture how models process data by encoding task-relevant structure and semantics. Representation alignment refers to the degree to which different models, layers, or training conditions produce similar representations for the same inputs, with important implications for model interpretation, selection, and robustness analysis. Existing approaches to measure alignment primarily rely on geometric properties, such as neighborhood and cluster similarity, offering limited insight into the global organization "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25541","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/2605.25541/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":"2026-05-26T02:04:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DIH2VKpA8omTkxMjf1umlb3CiK3cVGdfpXSGcD0QXySY38QOi8mYj0YqGBcnNnpWOxaMQiZLS/ZU82nYRFdEBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:53:30.069017Z"},"content_sha256":"7d77e9073b880a6356b915c0b6e387f246cc627d111267b869c62620c0bc3061","schema_version":"1.0","event_id":"sha256:7d77e9073b880a6356b915c0b6e387f246cc627d111267b869c62620c0bc3061"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XQUQ5OAMQJM25GKNPXS33NRC3O/bundle.json","state_url":"https://pith.science/pith/XQUQ5OAMQJM25GKNPXS33NRC3O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XQUQ5OAMQJM25GKNPXS33NRC3O/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":"2026-05-28T12:53:30Z","links":{"resolver":"https://pith.science/pith/XQUQ5OAMQJM25GKNPXS33NRC3O","bundle":"https://pith.science/pith/XQUQ5OAMQJM25GKNPXS33NRC3O/bundle.json","state":"https://pith.science/pith/XQUQ5OAMQJM25GKNPXS33NRC3O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XQUQ5OAMQJM25GKNPXS33NRC3O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XQUQ5OAMQJM25GKNPXS33NRC3O","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":"d0caf7a8daa4c1cde7435fefe75505b6fa7dba7361357556dbda693ec1c7aaf6","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2026-05-25T07:58:26Z","title_canon_sha256":"eda3dbd1d9ea534039f5fc606e45ba69a8cee3e9491d95587c93d48d4ad46726"},"schema_version":"1.0","source":{"id":"2605.25541","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25541","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25541v1","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25541","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"XQUQ5OAMQJM2","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"XQUQ5OAMQJM25GKN","created_at":"2026-05-26T02:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"XQUQ5OAM","created_at":"2026-05-26T02:04:41Z"}],"graph_snapshots":[{"event_id":"sha256:7d77e9073b880a6356b915c0b6e387f246cc627d111267b869c62620c0bc3061","target":"graph","created_at":"2026-05-26T02:04:41Z","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/2605.25541/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural networks encode inputs as high-dimensional vectors, known as representations, that capture how models process data by encoding task-relevant structure and semantics. Representation alignment refers to the degree to which different models, layers, or training conditions produce similar representations for the same inputs, with important implications for model interpretation, selection, and robustness analysis. Existing approaches to measure alignment primarily rely on geometric properties, such as neighborhood and cluster similarity, offering limited insight into the global organization ","authors_text":"Bei Wang, Mennatallah El-Assady, Rita Sevastjanova, Xinyuan Yan","cross_cats":["cs.AI","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2026-05-25T07:58:26Z","title":"TopoAlign: Topology-Aware Visual Representation Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25541","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:f22873e22d10475b94ee96ffd099f481d195865b8a4cd5c2ff0ab82f1c4b0402","target":"record","created_at":"2026-05-26T02:04:41Z","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":"d0caf7a8daa4c1cde7435fefe75505b6fa7dba7361357556dbda693ec1c7aaf6","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2026-05-25T07:58:26Z","title_canon_sha256":"eda3dbd1d9ea534039f5fc606e45ba69a8cee3e9491d95587c93d48d4ad46726"},"schema_version":"1.0","source":{"id":"2605.25541","kind":"arxiv","version":1}},"canonical_sha256":"bc290eb80c8259ae994d7de5bdb622dbb7ff3d7e9343801de8165e544dc08b35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc290eb80c8259ae994d7de5bdb622dbb7ff3d7e9343801de8165e544dc08b35","first_computed_at":"2026-05-26T02:04:41.908040Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:41.908040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jFGIAFsygDzDn7WxYa6AQ386G0xMX9cg3a6mOPPQscRYXxmpNX0egU0js44HudZnUbQDx02XQuP3W5FpuMEaAA==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:41.908894Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25541","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f22873e22d10475b94ee96ffd099f481d195865b8a4cd5c2ff0ab82f1c4b0402","sha256:7d77e9073b880a6356b915c0b6e387f246cc627d111267b869c62620c0bc3061"],"state_sha256":"589cf00b8b30fdd46f044ad18a44048602d1fd216f6737aa49566e81194f2132"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EzTcZb8+qAtAtWZHCtsOggcIADhJC9JxaYYg/gn9AgifgmQTpLVHVj8HTWKi6iX67xqa43Fiem3YjBmPiLiIBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:53:30.071125Z","bundle_sha256":"109ec36a21442b5ff5acd7b809088c0f4be045f0a880ce7a47726d162689dc19"}}