{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:W3U5GC4D35JT25Y23URRINCZZC","short_pith_number":"pith:W3U5GC4D","canonical_record":{"source":{"id":"2508.00260","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T02:08:09Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"343d605301e3ad00ab191dd65b377f25f8d0177cef3f285ab527686b052f313b","abstract_canon_sha256":"74e4d0f9baeb5b8fc8835af5fa1dcf5724b118e06b04722c4a9be4d3238e9c17"},"schema_version":"1.0"},"canonical_sha256":"b6e9d30b83df533d771add23143459c8b0b410080e0e7ed5b79ecb9fc3764ea1","source":{"kind":"arxiv","id":"2508.00260","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00260","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00260v1","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00260","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"pith_short_12","alias_value":"W3U5GC4D35JT","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"pith_short_16","alias_value":"W3U5GC4D35JT25Y2","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"pith_short_8","alias_value":"W3U5GC4D","created_at":"2026-07-05T11:46:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:W3U5GC4D35JT25Y23URRINCZZC","target":"record","payload":{"canonical_record":{"source":{"id":"2508.00260","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T02:08:09Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"343d605301e3ad00ab191dd65b377f25f8d0177cef3f285ab527686b052f313b","abstract_canon_sha256":"74e4d0f9baeb5b8fc8835af5fa1dcf5724b118e06b04722c4a9be4d3238e9c17"},"schema_version":"1.0"},"canonical_sha256":"b6e9d30b83df533d771add23143459c8b0b410080e0e7ed5b79ecb9fc3764ea1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:52.195959Z","signature_b64":"dJw1AhtnFvI7sBVTJIYS4WejZRrGGtYG+0VEwQQBof7hR+NpFm9y2zmyE+sy6NGfMJdjh/uQDDV0y8G3DNnkBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6e9d30b83df533d771add23143459c8b0b410080e0e7ed5b79ecb9fc3764ea1","last_reissued_at":"2026-07-05T11:46:52.195487Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:52.195487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.00260","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":"2026-07-05T11:46:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iYwGnhC/joDFi2VGnSbx2MrV9YicAxcbsofDiiNc2T9qeJVpAnOj+pWzuXpFx9jhk2SPXXtMLZPMbkfoNo19Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:40:58.360104Z"},"content_sha256":"1df944e95862253bd74d47af5de0ba1651ff8af8c8e9103165840a1ea671621b","schema_version":"1.0","event_id":"sha256:1df944e95862253bd74d47af5de0ba1651ff8af8c8e9103165840a1ea671621b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:W3U5GC4D35JT25Y23URRINCZZC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Eunwoo Kim, Hyundong Jin, Hyung Jin Chang","submitted_at":"2025-08-01T02:08:09Z","abstract_excerpt":"Continual learning enables pre-trained generative vision-language models (VLMs) to incorporate knowledge from new tasks without retraining data from previous ones. Recent methods update a visual projector to translate visual information for new tasks, connecting pre-trained vision encoders with large language models. However, such adjustments may cause the models to prioritize visual inputs over language instructions, particularly learning tasks with repetitive types of textual instructions. To address the neglect of language instructions, we propose a novel framework that grounds the translat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00260","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/2508.00260/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":"2026-07-05T11:46:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5zJet5SruUmCRVxsA/px1bKMuMI/SLLs6lj4PHfBixx9xEuyt+od1ncA8ROKN8v4E7mciy70/S2AiLspUvypCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:40:58.360716Z"},"content_sha256":"fd7497f914ff05c7005cd912f2d5f229bdabd285ba1737fbd7a7100eca0087c6","schema_version":"1.0","event_id":"sha256:fd7497f914ff05c7005cd912f2d5f229bdabd285ba1737fbd7a7100eca0087c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W3U5GC4D35JT25Y23URRINCZZC/bundle.json","state_url":"https://pith.science/pith/W3U5GC4D35JT25Y23URRINCZZC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W3U5GC4D35JT25Y23URRINCZZC/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":"2026-08-08T17:40:58Z","links":{"resolver":"https://pith.science/pith/W3U5GC4D35JT25Y23URRINCZZC","bundle":"https://pith.science/pith/W3U5GC4D35JT25Y23URRINCZZC/bundle.json","state":"https://pith.science/pith/W3U5GC4D35JT25Y23URRINCZZC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W3U5GC4D35JT25Y23URRINCZZC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W3U5GC4D35JT25Y23URRINCZZC","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":"74e4d0f9baeb5b8fc8835af5fa1dcf5724b118e06b04722c4a9be4d3238e9c17","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T02:08:09Z","title_canon_sha256":"343d605301e3ad00ab191dd65b377f25f8d0177cef3f285ab527686b052f313b"},"schema_version":"1.0","source":{"id":"2508.00260","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00260","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00260v1","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00260","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"pith_short_12","alias_value":"W3U5GC4D35JT","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"pith_short_16","alias_value":"W3U5GC4D35JT25Y2","created_at":"2026-07-05T11:46:52Z"},{"alias_kind":"pith_short_8","alias_value":"W3U5GC4D","created_at":"2026-07-05T11:46:52Z"}],"graph_snapshots":[{"event_id":"sha256:fd7497f914ff05c7005cd912f2d5f229bdabd285ba1737fbd7a7100eca0087c6","target":"graph","created_at":"2026-07-05T11:46:52Z","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":[],"endpoint":"/pith/2508.00260/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning enables pre-trained generative vision-language models (VLMs) to incorporate knowledge from new tasks without retraining data from previous ones. Recent methods update a visual projector to translate visual information for new tasks, connecting pre-trained vision encoders with large language models. However, such adjustments may cause the models to prioritize visual inputs over language instructions, particularly learning tasks with repetitive types of textual instructions. To address the neglect of language instructions, we propose a novel framework that grounds the translat","authors_text":"Eunwoo Kim, Hyundong Jin, Hyung Jin Chang","cross_cats":["cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T02:08:09Z","title":"Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00260","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":"sha256:1df944e95862253bd74d47af5de0ba1651ff8af8c8e9103165840a1ea671621b","target":"record","created_at":"2026-07-05T11:46:52Z","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":"74e4d0f9baeb5b8fc8835af5fa1dcf5724b118e06b04722c4a9be4d3238e9c17","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T02:08:09Z","title_canon_sha256":"343d605301e3ad00ab191dd65b377f25f8d0177cef3f285ab527686b052f313b"},"schema_version":"1.0","source":{"id":"2508.00260","kind":"arxiv","version":1}},"canonical_sha256":"b6e9d30b83df533d771add23143459c8b0b410080e0e7ed5b79ecb9fc3764ea1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6e9d30b83df533d771add23143459c8b0b410080e0e7ed5b79ecb9fc3764ea1","first_computed_at":"2026-07-05T11:46:52.195487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:52.195487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dJw1AhtnFvI7sBVTJIYS4WejZRrGGtYG+0VEwQQBof7hR+NpFm9y2zmyE+sy6NGfMJdjh/uQDDV0y8G3DNnkBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:52.195959Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.00260","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1df944e95862253bd74d47af5de0ba1651ff8af8c8e9103165840a1ea671621b","sha256:fd7497f914ff05c7005cd912f2d5f229bdabd285ba1737fbd7a7100eca0087c6"],"state_sha256":"fce0b9f284a639c832e7434fec247384d40d1a523e1f056ba5b78cc4f8e2ecbf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cilnLJGGhRiDAU6T9x1OL7X+3ktSXRnP7Umi3+oXuFXkLWRxq+4GerYEA7LQ2unmij90Rvmdqrfto+2UJa71DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:40:58.364828Z","bundle_sha256":"9f3375471c380f59e8b40b0e3427cf9016e03c1afa982413103b552eb094f4ee"}}