{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZLKOZMDDUWCGQ3XQ6HW3BJFSHA","short_pith_number":"pith:ZLKOZMDD","canonical_record":{"source":{"id":"2509.04606","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:41:59Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"4cd507ebd4ec32851db586f26eee06584827d611f581784dfe9f353ef32d8b47","abstract_canon_sha256":"fcd3f1ead158ce66f9ac22460a674b904eb586a2834ef4d581d3b21986d4bb8e"},"schema_version":"1.0"},"canonical_sha256":"cad4ecb063a584686ef0f1edb0a4b2380eb0a6c2404f33d981f7cf7470287b8e","source":{"kind":"arxiv","id":"2509.04606","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04606","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04606v1","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04606","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_12","alias_value":"ZLKOZMDDUWCG","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_16","alias_value":"ZLKOZMDDUWCGQ3XQ","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_8","alias_value":"ZLKOZMDD","created_at":"2026-07-05T12:05:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZLKOZMDDUWCGQ3XQ6HW3BJFSHA","target":"record","payload":{"canonical_record":{"source":{"id":"2509.04606","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:41:59Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"4cd507ebd4ec32851db586f26eee06584827d611f581784dfe9f353ef32d8b47","abstract_canon_sha256":"fcd3f1ead158ce66f9ac22460a674b904eb586a2834ef4d581d3b21986d4bb8e"},"schema_version":"1.0"},"canonical_sha256":"cad4ecb063a584686ef0f1edb0a4b2380eb0a6c2404f33d981f7cf7470287b8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:26.137486Z","signature_b64":"+Qt30Ca28Jki2WUXltNjtfSpkmABn2Q50yg6k9zpMz8eF6U/lw6Fiy3ZUJ5JTGc360iLcT1ICcOUPoRJgoCnAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cad4ecb063a584686ef0f1edb0a4b2380eb0a6c2404f33d981f7cf7470287b8e","last_reissued_at":"2026-07-05T12:05:26.136822Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:26.136822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.04606","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":"2026-07-05T12:05:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cXrfXzCQhFi8g3ILtKRhYkJabYbkDBt7GeYQ9n77aVb/10Je8CRMP4WnzY8Kml5f6wABqr9rzfJHpJypdAIjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:28:14.518247Z"},"content_sha256":"027834dc2e92ca8b444e2246aa6103f1b2a9d8c583c649f5a9f7c3c523d5d3c4","schema_version":"1.0","event_id":"sha256:027834dc2e92ca8b444e2246aa6103f1b2a9d8c583c649f5a9f7c3c523d5d3c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZLKOZMDDUWCGQ3XQ6HW3BJFSHA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sample-efficient Integration of New Modalities into Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CL","authors_text":"Andr\\'e F. T. Martins, Edoardo M. Ponti, Oisin Mac Aodha, Osman Batur \\.Ince","submitted_at":"2025-09-04T18:41:59Z","abstract_excerpt":"Multimodal foundation models can process several modalities. However, since the space of possible modalities is large and evolving over time, training a model from scratch to encompass all modalities is unfeasible. Moreover, integrating a modality into a pre-existing foundation model currently requires a significant amount of paired data, which is often not available for low-resource modalities. In this paper, we introduce a method for sample-efficient modality integration (SEMI) into Large Language Models (LLMs). To this end, we devise a hypernetwork that can adapt a shared projector -- place"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04606","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/2509.04606/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":"2026-07-05T12:05:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lEq2a1VaognudexnMIq7pwjGGFdHMPjme/v5INGTfFzcr8/5+sAiYiMdoVFZAW2Ggnn6NfBH+KlKzLjOsXH4AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:28:14.518831Z"},"content_sha256":"d186137d52fccfc9467ceb60fe835580df43982f7fdda6dcbb1276403ca2fd7c","schema_version":"1.0","event_id":"sha256:d186137d52fccfc9467ceb60fe835580df43982f7fdda6dcbb1276403ca2fd7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA/bundle.json","state_url":"https://pith.science/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA/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":"2026-08-06T13:28:14Z","links":{"resolver":"https://pith.science/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA","bundle":"https://pith.science/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA/bundle.json","state":"https://pith.science/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZLKOZMDDUWCGQ3XQ6HW3BJFSHA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZLKOZMDDUWCGQ3XQ6HW3BJFSHA","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":"fcd3f1ead158ce66f9ac22460a674b904eb586a2834ef4d581d3b21986d4bb8e","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:41:59Z","title_canon_sha256":"4cd507ebd4ec32851db586f26eee06584827d611f581784dfe9f353ef32d8b47"},"schema_version":"1.0","source":{"id":"2509.04606","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04606","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04606v1","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04606","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_12","alias_value":"ZLKOZMDDUWCG","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_16","alias_value":"ZLKOZMDDUWCGQ3XQ","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_8","alias_value":"ZLKOZMDD","created_at":"2026-07-05T12:05:26Z"}],"graph_snapshots":[{"event_id":"sha256:d186137d52fccfc9467ceb60fe835580df43982f7fdda6dcbb1276403ca2fd7c","target":"graph","created_at":"2026-07-05T12:05:26Z","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/2509.04606/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal foundation models can process several modalities. However, since the space of possible modalities is large and evolving over time, training a model from scratch to encompass all modalities is unfeasible. Moreover, integrating a modality into a pre-existing foundation model currently requires a significant amount of paired data, which is often not available for low-resource modalities. In this paper, we introduce a method for sample-efficient modality integration (SEMI) into Large Language Models (LLMs). To this end, we devise a hypernetwork that can adapt a shared projector -- place","authors_text":"Andr\\'e F. T. Martins, Edoardo M. Ponti, Oisin Mac Aodha, Osman Batur \\.Ince","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:41:59Z","title":"Sample-efficient Integration of New Modalities into Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04606","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":"sha256:027834dc2e92ca8b444e2246aa6103f1b2a9d8c583c649f5a9f7c3c523d5d3c4","target":"record","created_at":"2026-07-05T12:05:26Z","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":"fcd3f1ead158ce66f9ac22460a674b904eb586a2834ef4d581d3b21986d4bb8e","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:41:59Z","title_canon_sha256":"4cd507ebd4ec32851db586f26eee06584827d611f581784dfe9f353ef32d8b47"},"schema_version":"1.0","source":{"id":"2509.04606","kind":"arxiv","version":1}},"canonical_sha256":"cad4ecb063a584686ef0f1edb0a4b2380eb0a6c2404f33d981f7cf7470287b8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cad4ecb063a584686ef0f1edb0a4b2380eb0a6c2404f33d981f7cf7470287b8e","first_computed_at":"2026-07-05T12:05:26.136822Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:26.136822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Qt30Ca28Jki2WUXltNjtfSpkmABn2Q50yg6k9zpMz8eF6U/lw6Fiy3ZUJ5JTGc360iLcT1ICcOUPoRJgoCnAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:26.137486Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04606","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:027834dc2e92ca8b444e2246aa6103f1b2a9d8c583c649f5a9f7c3c523d5d3c4","sha256:d186137d52fccfc9467ceb60fe835580df43982f7fdda6dcbb1276403ca2fd7c"],"state_sha256":"a3aad8c993f770d5f014fecc699d4f16b2f525d666c403d781fdbe2de5ca8b90"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qlkHt1v/5WarHPykjLL8ZRQ6djeve8IONN6cXRlNSKn014mK1kqNV7lLVNzL7cN2gbmADuArHqQ5qpViXUoHCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:28:14.523382Z","bundle_sha256":"f55bdb4b892086479fd0f4c420d24bccd33904f6c9a7b5a21331b1fb32f0ea4f"}}