{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OUIENIMN2ALPCUL5WE2M4TDF64","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":"54fea840428159d5fe51d05c3f5de698dbcddce2efb6887c92d51dca64058c1d","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-10T07:13:22Z","title_canon_sha256":"802157a948906afb93827fefd7b17ccfc398d170170095f0c19cdac9769ca5ce"},"schema_version":"1.0","source":{"id":"2507.07485","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07485","created_at":"2026-07-05T11:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07485v2","created_at":"2026-07-05T11:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07485","created_at":"2026-07-05T11:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"OUIENIMN2ALP","created_at":"2026-07-05T11:39:56Z"},{"alias_kind":"pith_short_16","alias_value":"OUIENIMN2ALPCUL5","created_at":"2026-07-05T11:39:56Z"},{"alias_kind":"pith_short_8","alias_value":"OUIENIMN","created_at":"2026-07-05T11:39:56Z"}],"graph_snapshots":[{"event_id":"sha256:be48ca5c3970439abcba1ab12d8a46894353125f3e166a66bcdc70d56493927e","target":"graph","created_at":"2026-07-05T11:39:56Z","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/2507.07485/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-Task Learning (MTL) enables multiple tasks to be learned within a shared network, but differences in objectives across tasks can cause negative transfer, where the learning of one task degrades another task's performance. While pre-trained transformers significantly improve MTL performance, their fixed network capacity and rigid structure limit adaptability. Previous dynamic network architectures attempt to address this but are inefficient as they directly convert shared parameters into task-specific ones. We propose Dynamic Token Modulation and Expansion (DTME-MTL), a framework applicab","authors_text":"Kuk-Jin Yoon, Wooseong Jeong","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-10T07:13:22Z","title":"Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07485","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":"sha256:3ca0bab9de3933e44887f75d2e02b0cd9af3414e45dae6041dd76260bf39c0d8","target":"record","created_at":"2026-07-05T11:39:56Z","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":"54fea840428159d5fe51d05c3f5de698dbcddce2efb6887c92d51dca64058c1d","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-10T07:13:22Z","title_canon_sha256":"802157a948906afb93827fefd7b17ccfc398d170170095f0c19cdac9769ca5ce"},"schema_version":"1.0","source":{"id":"2507.07485","kind":"arxiv","version":2}},"canonical_sha256":"751046a18dd016f1517db134ce4c65f7234ece720bfd30068941fa45a06624ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"751046a18dd016f1517db134ce4c65f7234ece720bfd30068941fa45a06624ef","first_computed_at":"2026-07-05T11:39:56.334634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:56.334634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AakihlWxQdXeAcvv/sQBymF7q1nZdten/bnz2WwatS8NvonFKBrrympBsJ8Y4slx8I6uUUo4vCGLMEIcX3YXAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:56.335131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07485","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ca0bab9de3933e44887f75d2e02b0cd9af3414e45dae6041dd76260bf39c0d8","sha256:be48ca5c3970439abcba1ab12d8a46894353125f3e166a66bcdc70d56493927e"],"state_sha256":"0096ae983d683e3efc96c2971c9862e32b7b805b27c54188189fc26ffacbbb30"}