{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2O5MQMYHNPFBYZ26BHRBEBSGRF","short_pith_number":"pith:2O5MQMYH","canonical_record":{"source":{"id":"2605.18257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T11:56:19Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"4e7bf3ed239fcf28781e6a2aa34177dbd75fb80987f22280e616cceb42a7b998","abstract_canon_sha256":"db45c236cd311ab6a275f160738daf58a2cbc1f460744a8b31a15407c67d91a3"},"schema_version":"1.0"},"canonical_sha256":"d3bac833076bca1c675e09e2120646896ef5ea6fc2b80c2b5a88ca5c4fa480bf","source":{"kind":"arxiv","id":"2605.18257","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18257","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18257v1","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18257","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"2O5MQMYHNPFB","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"2O5MQMYHNPFBYZ26","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"2O5MQMYH","created_at":"2026-05-20T00:05:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2O5MQMYHNPFBYZ26BHRBEBSGRF","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T11:56:19Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"4e7bf3ed239fcf28781e6a2aa34177dbd75fb80987f22280e616cceb42a7b998","abstract_canon_sha256":"db45c236cd311ab6a275f160738daf58a2cbc1f460744a8b31a15407c67d91a3"},"schema_version":"1.0"},"canonical_sha256":"d3bac833076bca1c675e09e2120646896ef5ea6fc2b80c2b5a88ca5c4fa480bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:52.418325Z","signature_b64":"tYigRDBIyt7aduDdaxWQtp/k84Fn/OPqbVtAlZ89sIhp12n+BcN13CQs0s6eMihtJa7dAYjTjCLzlyTD+cQwBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3bac833076bca1c675e09e2120646896ef5ea6fc2b80c2b5a88ca5c4fa480bf","last_reissued_at":"2026-05-20T00:05:52.417726Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:52.417726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18257","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":"2026-05-20T00:05:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4k6k+xzFM9v0cCUT3RgxYa9yDRPYwnSiIedXUAhGvS29LZrlzF028ZGweHcsoW0QGguKgR2c+ulkV36lzkxnCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T11:56:38.860117Z"},"content_sha256":"02d6f044c1f8cbf259e317d69b4f1144494afc323ee6745191a764c3a403d777","schema_version":"1.0","event_id":"sha256:02d6f044c1f8cbf259e317d69b4f1144494afc323ee6745191a764c3a403d777"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2O5MQMYHNPFBYZ26BHRBEBSGRF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Jie Li, Kai Han, Zeyu Chen","submitted_at":"2026-05-18T11:56:19Z","abstract_excerpt":"Multimodal representation alignment is pivotal for large language models and robotics. Traditional methods are often hindered by cross-modal information discrepancies and data scarcity, leading to suboptimal alignment spaces that overlook modality-unique features. We propose CodeBind, a framework that optimizes multimodal representation spaces through a modality-shared-specific codebook design. By incrementally aligning target and bridging modalities, CodeBind bypasses the need for fully paired data. Unlike traditional hard alignment, CodeBind decomposes features into shared components for sem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18257","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/2605.18257/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.262300Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T23:21:58.981539Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"31658d0f415e2bbc40c27c575f6d623cd0cee6910c3ee2f224e1bc0813f83d58"},"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":"2026-05-20T00:05:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EDdi2AVOB0t0Lmk0awMV47m4Nh1Mm8ebJtN8WNc5iaBt/E+Tc8kogLaPrfZC9qNK5d4+5zjfCkgH7PTwBpYnBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T11:56:38.860639Z"},"content_sha256":"be0c9b650ac1cd14cff11c9d50c86b2c4c8ecdbee97ad21dc6017d8973346780","schema_version":"1.0","event_id":"sha256:be0c9b650ac1cd14cff11c9d50c86b2c4c8ecdbee97ad21dc6017d8973346780"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF/bundle.json","state_url":"https://pith.science/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF/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":"2026-05-22T11:56:38Z","links":{"resolver":"https://pith.science/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF","bundle":"https://pith.science/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF/bundle.json","state":"https://pith.science/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2O5MQMYHNPFBYZ26BHRBEBSGRF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2O5MQMYHNPFBYZ26BHRBEBSGRF","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":"db45c236cd311ab6a275f160738daf58a2cbc1f460744a8b31a15407c67d91a3","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T11:56:19Z","title_canon_sha256":"4e7bf3ed239fcf28781e6a2aa34177dbd75fb80987f22280e616cceb42a7b998"},"schema_version":"1.0","source":{"id":"2605.18257","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18257","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18257v1","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18257","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"2O5MQMYHNPFB","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"2O5MQMYHNPFBYZ26","created_at":"2026-05-20T00:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"2O5MQMYH","created_at":"2026-05-20T00:05:52Z"}],"graph_snapshots":[{"event_id":"sha256:be0c9b650ac1cd14cff11c9d50c86b2c4c8ecdbee97ad21dc6017d8973346780","target":"graph","created_at":"2026-05-20T00:05:52Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.262300Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T23:21:58.981539Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.18257/integrity.json","findings":[],"snapshot_sha256":"31658d0f415e2bbc40c27c575f6d623cd0cee6910c3ee2f224e1bc0813f83d58","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal representation alignment is pivotal for large language models and robotics. Traditional methods are often hindered by cross-modal information discrepancies and data scarcity, leading to suboptimal alignment spaces that overlook modality-unique features. We propose CodeBind, a framework that optimizes multimodal representation spaces through a modality-shared-specific codebook design. By incrementally aligning target and bridging modalities, CodeBind bypasses the need for fully paired data. Unlike traditional hard alignment, CodeBind decomposes features into shared components for sem","authors_text":"Jie Li, Kai Han, Zeyu Chen","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T11:56:19Z","title":"CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18257","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":"sha256:02d6f044c1f8cbf259e317d69b4f1144494afc323ee6745191a764c3a403d777","target":"record","created_at":"2026-05-20T00:05:52Z","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":"db45c236cd311ab6a275f160738daf58a2cbc1f460744a8b31a15407c67d91a3","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T11:56:19Z","title_canon_sha256":"4e7bf3ed239fcf28781e6a2aa34177dbd75fb80987f22280e616cceb42a7b998"},"schema_version":"1.0","source":{"id":"2605.18257","kind":"arxiv","version":1}},"canonical_sha256":"d3bac833076bca1c675e09e2120646896ef5ea6fc2b80c2b5a88ca5c4fa480bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3bac833076bca1c675e09e2120646896ef5ea6fc2b80c2b5a88ca5c4fa480bf","first_computed_at":"2026-05-20T00:05:52.417726Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:52.417726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tYigRDBIyt7aduDdaxWQtp/k84Fn/OPqbVtAlZ89sIhp12n+BcN13CQs0s6eMihtJa7dAYjTjCLzlyTD+cQwBw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:52.418325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18257","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02d6f044c1f8cbf259e317d69b4f1144494afc323ee6745191a764c3a403d777","sha256:be0c9b650ac1cd14cff11c9d50c86b2c4c8ecdbee97ad21dc6017d8973346780"],"state_sha256":"162db37dba60895bbf5b4ab3cad2b4d09047b7705a82dd01f3e1698468c99b4e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lg6BXGgWo3dtK+U54AYb59R4JDnaw2vRfgr1RS2ZvCC5GtYswpDsyyO8GQLJX88kyi6V1Hnrs/6rR1LFospDBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T11:56:38.863373Z","bundle_sha256":"2bf386722bd53f825dc73e2b604703d90db026eeac71fda4021a33ae51fb45f7"}}