{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NHQFB4N2IRLV7332GDFE3N5GMA","short_pith_number":"pith:NHQFB4N2","canonical_record":{"source":{"id":"2510.27391","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-31T11:32:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2c73ee6fc16bb5a4954fd9aaa8c10297454b392bd8822b5dbc5257f680abbfe2","abstract_canon_sha256":"0c243addd3a79a3ba9e5d809a65ef7bb57210afb74c33c2a46566f42073c5ed3"},"schema_version":"1.0"},"canonical_sha256":"69e050f1ba44575fef7a30ca4db7a6600c252bcaedc4e3c934a0cf1a3b64053f","source":{"kind":"arxiv","id":"2510.27391","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.27391","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"arxiv_version","alias_value":"2510.27391v2","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.27391","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"pith_short_12","alias_value":"NHQFB4N2IRLV","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"pith_short_16","alias_value":"NHQFB4N2IRLV7332","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"pith_short_8","alias_value":"NHQFB4N2","created_at":"2026-05-29T02:05:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NHQFB4N2IRLV7332GDFE3N5GMA","target":"record","payload":{"canonical_record":{"source":{"id":"2510.27391","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-31T11:32:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2c73ee6fc16bb5a4954fd9aaa8c10297454b392bd8822b5dbc5257f680abbfe2","abstract_canon_sha256":"0c243addd3a79a3ba9e5d809a65ef7bb57210afb74c33c2a46566f42073c5ed3"},"schema_version":"1.0"},"canonical_sha256":"69e050f1ba44575fef7a30ca4db7a6600c252bcaedc4e3c934a0cf1a3b64053f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:05:37.485212Z","signature_b64":"yk1azc9FSkwnZ4sqkdhVDpK6iy0e0ohac8IzxlEHh7vwdSsBUm+0jczRBCJ3K2SdKgDGzBbG9uxuPEcCjeJPBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69e050f1ba44575fef7a30ca4db7a6600c252bcaedc4e3c934a0cf1a3b64053f","last_reissued_at":"2026-05-29T02:05:37.484543Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:05:37.484543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.27391","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":"2026-05-29T02:05:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0BL+U3I6mu8g6ycwruezlV+3LPChhzBoFE8tiZVbxA+NgCU00bGiQ6ZVBlOuQmiRbZA0s1fxsiTp9VbtMB1XAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T23:28:47.383666Z"},"content_sha256":"22a2fccd75f22d3df189fdd3c1838969d1753c57171766861f5042f31db4a4b6","schema_version":"1.0","event_id":"sha256:22a2fccd75f22d3df189fdd3c1838969d1753c57171766861f5042f31db4a4b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NHQFB4N2IRLV7332GDFE3N5GMA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Mehrtash Harandi, Pengxiang Li, Wei Wu, Xiaomeng Fan, Yunde Jia, Yuwei Wu, Zhi Gao","submitted_at":"2025-10-31T11:32:15Z","abstract_excerpt":"Modality alignment is critical for vision-language models (VLMs) to effectively integrate information across modalities. However, existing methods extract hierarchical features from text while representing each image with a single feature, leading to asymmetric and suboptimal alignment. To address this, we propose Alignment across Trees, a method that constructs and aligns tree-like hierarchical features for both image and text modalities. Specifically, we introduce a semantic-aware visual feature extraction framework that applies a cross-attention mechanism to visual class tokens from interme"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.27391","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/2510.27391/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":"2026-05-29T02:05:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qPVSRxQA9NckdQ3Y0mH4S+XfLAnCEsQN/XrKvcel0zmRdUwsXyia1H1h6XDxZgHgQfKoSpClKblRCZsj6akDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T23:28:47.384299Z"},"content_sha256":"6946f713894e754c62148e42d34a12a521495c8958a9f9fd4d859f8ae28b2505","schema_version":"1.0","event_id":"sha256:6946f713894e754c62148e42d34a12a521495c8958a9f9fd4d859f8ae28b2505"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NHQFB4N2IRLV7332GDFE3N5GMA/bundle.json","state_url":"https://pith.science/pith/NHQFB4N2IRLV7332GDFE3N5GMA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NHQFB4N2IRLV7332GDFE3N5GMA/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":"2026-07-01T23:28:47Z","links":{"resolver":"https://pith.science/pith/NHQFB4N2IRLV7332GDFE3N5GMA","bundle":"https://pith.science/pith/NHQFB4N2IRLV7332GDFE3N5GMA/bundle.json","state":"https://pith.science/pith/NHQFB4N2IRLV7332GDFE3N5GMA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NHQFB4N2IRLV7332GDFE3N5GMA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NHQFB4N2IRLV7332GDFE3N5GMA","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":"0c243addd3a79a3ba9e5d809a65ef7bb57210afb74c33c2a46566f42073c5ed3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-31T11:32:15Z","title_canon_sha256":"2c73ee6fc16bb5a4954fd9aaa8c10297454b392bd8822b5dbc5257f680abbfe2"},"schema_version":"1.0","source":{"id":"2510.27391","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.27391","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"arxiv_version","alias_value":"2510.27391v2","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.27391","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"pith_short_12","alias_value":"NHQFB4N2IRLV","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"pith_short_16","alias_value":"NHQFB4N2IRLV7332","created_at":"2026-05-29T02:05:37Z"},{"alias_kind":"pith_short_8","alias_value":"NHQFB4N2","created_at":"2026-05-29T02:05:37Z"}],"graph_snapshots":[{"event_id":"sha256:6946f713894e754c62148e42d34a12a521495c8958a9f9fd4d859f8ae28b2505","target":"graph","created_at":"2026-05-29T02:05:37Z","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/2510.27391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modality alignment is critical for vision-language models (VLMs) to effectively integrate information across modalities. However, existing methods extract hierarchical features from text while representing each image with a single feature, leading to asymmetric and suboptimal alignment. To address this, we propose Alignment across Trees, a method that constructs and aligns tree-like hierarchical features for both image and text modalities. Specifically, we introduce a semantic-aware visual feature extraction framework that applies a cross-attention mechanism to visual class tokens from interme","authors_text":"Mehrtash Harandi, Pengxiang Li, Wei Wu, Xiaomeng Fan, Yunde Jia, Yuwei Wu, Zhi Gao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-31T11:32:15Z","title":"Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.27391","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":"sha256:22a2fccd75f22d3df189fdd3c1838969d1753c57171766861f5042f31db4a4b6","target":"record","created_at":"2026-05-29T02:05:37Z","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":"0c243addd3a79a3ba9e5d809a65ef7bb57210afb74c33c2a46566f42073c5ed3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-31T11:32:15Z","title_canon_sha256":"2c73ee6fc16bb5a4954fd9aaa8c10297454b392bd8822b5dbc5257f680abbfe2"},"schema_version":"1.0","source":{"id":"2510.27391","kind":"arxiv","version":2}},"canonical_sha256":"69e050f1ba44575fef7a30ca4db7a6600c252bcaedc4e3c934a0cf1a3b64053f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69e050f1ba44575fef7a30ca4db7a6600c252bcaedc4e3c934a0cf1a3b64053f","first_computed_at":"2026-05-29T02:05:37.484543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:05:37.484543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yk1azc9FSkwnZ4sqkdhVDpK6iy0e0ohac8IzxlEHh7vwdSsBUm+0jczRBCJ3K2SdKgDGzBbG9uxuPEcCjeJPBw==","signature_status":"signed_v1","signed_at":"2026-05-29T02:05:37.485212Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.27391","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22a2fccd75f22d3df189fdd3c1838969d1753c57171766861f5042f31db4a4b6","sha256:6946f713894e754c62148e42d34a12a521495c8958a9f9fd4d859f8ae28b2505"],"state_sha256":"1384939d1eb58ac14087dad4ded907c1f9d273ebabac3e97eb0cad010fa88ab6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"83l79XCo3fhVl5CGyzjK7IxiWMLkUxuG4GAlh6wltjHhpzwEyjm5NXOvHjLBcKV1SxZJcE77PpZfoPYui4yBDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T23:28:47.387739Z","bundle_sha256":"9ba38df8090a3359943e4f773e88dfea9eb9dcc6cd88345df19fe1bbfe096257"}}