{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CBYDTD4HWW46ICCBPBKSY2RJRS","short_pith_number":"pith:CBYDTD4H","canonical_record":{"source":{"id":"2407.12315","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T04:49:56Z","cross_cats_sorted":["cs.AI","cs.HC","cs.IR"],"title_canon_sha256":"cd1c822621a6115f6fb6919cbd08a103fbf4cf70b20943a8778e03696e4a3cc0","abstract_canon_sha256":"20d9b30233b9d15f9ac48aa7e47cc4fed41a49a79ab8df9a3edc9f70b91d75bf"},"schema_version":"1.0"},"canonical_sha256":"1070398f87b5b9e4084178552c6a298c87a25db4439b99163e4437db544ac2b6","source":{"kind":"arxiv","id":"2407.12315","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12315","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12315v2","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12315","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"pith_short_12","alias_value":"CBYDTD4HWW46","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"pith_short_16","alias_value":"CBYDTD4HWW46ICCB","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"pith_short_8","alias_value":"CBYDTD4H","created_at":"2026-07-05T09:26:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CBYDTD4HWW46ICCBPBKSY2RJRS","target":"record","payload":{"canonical_record":{"source":{"id":"2407.12315","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T04:49:56Z","cross_cats_sorted":["cs.AI","cs.HC","cs.IR"],"title_canon_sha256":"cd1c822621a6115f6fb6919cbd08a103fbf4cf70b20943a8778e03696e4a3cc0","abstract_canon_sha256":"20d9b30233b9d15f9ac48aa7e47cc4fed41a49a79ab8df9a3edc9f70b91d75bf"},"schema_version":"1.0"},"canonical_sha256":"1070398f87b5b9e4084178552c6a298c87a25db4439b99163e4437db544ac2b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:26:29.128480Z","signature_b64":"PLWBy/feVPq248aSxJ6mg6mSEGX7nAFXI7HxqzjPQHr6X6b+cMZnfljZGns+0g809bVYqMggHRCCMzCBnmMuCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1070398f87b5b9e4084178552c6a298c87a25db4439b99163e4437db544ac2b6","last_reissued_at":"2026-07-05T09:26:29.127991Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:26:29.127991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.12315","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":"2026-07-05T09:26:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jWkBHdRzqRySkm8qpQagYMHF1rjTcIRTzrKV5otbS7DqIeRgKJRyai91jU2ynxPgvt2jOjdOx5sv7CRiGPoACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:20:20.209065Z"},"content_sha256":"a4ceb5771f00ce25702f99b09448265a98051afe8a9d99db7b940e780884a1f1","schema_version":"1.0","event_id":"sha256:a4ceb5771f00ce25702f99b09448265a98051afe8a9d99db7b940e780884a1f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CBYDTD4HWW46ICCBPBKSY2RJRS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion Map","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","cs.IR"],"primary_cat":"cs.CV","authors_text":"Shishi Xiao, Wei Zeng, Xingchen Zeng, Yilin Ye","submitted_at":"2024-07-17T04:49:56Z","abstract_excerpt":"Multi-modal embeddings form the foundation for vision-language models, such as CLIP embeddings, the most widely used text-image embeddings. However, these embeddings are vulnerable to subtle misalignment of cross-modal features, resulting in decreased model performance and diminished generalization. To address this problem, we design ModalChorus, an interactive system for visual probing and alignment of multi-modal embeddings. ModalChorus primarily offers a two-stage process: 1) embedding probing with Modal Fusion Map (MFM), a novel parametric dimensionality reduction method that integrates bo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12315","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/2407.12315/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":"2026-07-05T09:26:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NJrrlTd19H1oJ12v1yRS9z9YDEbe9OhYe2lWrQtix1SRCWPF/PAEFT+bA/sBpho9kIEXiU9tKUsQlw4UH0QNCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:20:20.209586Z"},"content_sha256":"7219364f028014662a9ceb8ddd5e1dee90e8b19d3586be3ddf0ee533b0ee5a9a","schema_version":"1.0","event_id":"sha256:7219364f028014662a9ceb8ddd5e1dee90e8b19d3586be3ddf0ee533b0ee5a9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CBYDTD4HWW46ICCBPBKSY2RJRS/bundle.json","state_url":"https://pith.science/pith/CBYDTD4HWW46ICCBPBKSY2RJRS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CBYDTD4HWW46ICCBPBKSY2RJRS/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":"2026-08-15T09:20:20Z","links":{"resolver":"https://pith.science/pith/CBYDTD4HWW46ICCBPBKSY2RJRS","bundle":"https://pith.science/pith/CBYDTD4HWW46ICCBPBKSY2RJRS/bundle.json","state":"https://pith.science/pith/CBYDTD4HWW46ICCBPBKSY2RJRS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CBYDTD4HWW46ICCBPBKSY2RJRS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CBYDTD4HWW46ICCBPBKSY2RJRS","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":"20d9b30233b9d15f9ac48aa7e47cc4fed41a49a79ab8df9a3edc9f70b91d75bf","cross_cats_sorted":["cs.AI","cs.HC","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T04:49:56Z","title_canon_sha256":"cd1c822621a6115f6fb6919cbd08a103fbf4cf70b20943a8778e03696e4a3cc0"},"schema_version":"1.0","source":{"id":"2407.12315","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12315","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12315v2","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12315","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"pith_short_12","alias_value":"CBYDTD4HWW46","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"pith_short_16","alias_value":"CBYDTD4HWW46ICCB","created_at":"2026-07-05T09:26:29Z"},{"alias_kind":"pith_short_8","alias_value":"CBYDTD4H","created_at":"2026-07-05T09:26:29Z"}],"graph_snapshots":[{"event_id":"sha256:7219364f028014662a9ceb8ddd5e1dee90e8b19d3586be3ddf0ee533b0ee5a9a","target":"graph","created_at":"2026-07-05T09:26:29Z","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/2407.12315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-modal embeddings form the foundation for vision-language models, such as CLIP embeddings, the most widely used text-image embeddings. However, these embeddings are vulnerable to subtle misalignment of cross-modal features, resulting in decreased model performance and diminished generalization. To address this problem, we design ModalChorus, an interactive system for visual probing and alignment of multi-modal embeddings. ModalChorus primarily offers a two-stage process: 1) embedding probing with Modal Fusion Map (MFM), a novel parametric dimensionality reduction method that integrates bo","authors_text":"Shishi Xiao, Wei Zeng, Xingchen Zeng, Yilin Ye","cross_cats":["cs.AI","cs.HC","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T04:49:56Z","title":"ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion Map"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12315","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:a4ceb5771f00ce25702f99b09448265a98051afe8a9d99db7b940e780884a1f1","target":"record","created_at":"2026-07-05T09:26:29Z","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":"20d9b30233b9d15f9ac48aa7e47cc4fed41a49a79ab8df9a3edc9f70b91d75bf","cross_cats_sorted":["cs.AI","cs.HC","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T04:49:56Z","title_canon_sha256":"cd1c822621a6115f6fb6919cbd08a103fbf4cf70b20943a8778e03696e4a3cc0"},"schema_version":"1.0","source":{"id":"2407.12315","kind":"arxiv","version":2}},"canonical_sha256":"1070398f87b5b9e4084178552c6a298c87a25db4439b99163e4437db544ac2b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1070398f87b5b9e4084178552c6a298c87a25db4439b99163e4437db544ac2b6","first_computed_at":"2026-07-05T09:26:29.127991Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:29.127991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PLWBy/feVPq248aSxJ6mg6mSEGX7nAFXI7HxqzjPQHr6X6b+cMZnfljZGns+0g809bVYqMggHRCCMzCBnmMuCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:29.128480Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.12315","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4ceb5771f00ce25702f99b09448265a98051afe8a9d99db7b940e780884a1f1","sha256:7219364f028014662a9ceb8ddd5e1dee90e8b19d3586be3ddf0ee533b0ee5a9a"],"state_sha256":"d1065dadbf3ec0ddb15d741d2feaff912342aafac3042b108309d9c918d6283f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kJk0oBsTA6jWu6jRe2yRxVrOq4rZeM/3Tbh1alai40R1ngv6QF+Zk7KAScSnDPFi+7lt7RCH/Q8k4npFqmyiAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T09:20:20.214677Z","bundle_sha256":"81015b746f6a9cd4d66c7b7b6fd92557da815b6870fc3fb84e2b387edd58f7d5"}}