{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:N6RVWEM5YSFRYRU72264DZLRIA","short_pith_number":"pith:N6RVWEM5","canonical_record":{"source":{"id":"2505.17427","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T03:18:02Z","cross_cats_sorted":[],"title_canon_sha256":"ba0afbd2ace0a562f33f7830a41d2bb1fd4ca9b78bc13c9047bece866a27a1b1","abstract_canon_sha256":"1124d8e7434a0d02a2ec4e640af82ebc2d2578e473696a00fbc4dcd318b45d87"},"schema_version":"1.0"},"canonical_sha256":"6fa35b119dc48b1c469fd6bdc1e571402e27fc48d0fa8fa1add90873156eaf13","source":{"kind":"arxiv","id":"2505.17427","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17427","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17427v2","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17427","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"pith_short_12","alias_value":"N6RVWEM5YSFR","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"pith_short_16","alias_value":"N6RVWEM5YSFRYRU7","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"pith_short_8","alias_value":"N6RVWEM5","created_at":"2026-07-05T11:15:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:N6RVWEM5YSFRYRU72264DZLRIA","target":"record","payload":{"canonical_record":{"source":{"id":"2505.17427","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T03:18:02Z","cross_cats_sorted":[],"title_canon_sha256":"ba0afbd2ace0a562f33f7830a41d2bb1fd4ca9b78bc13c9047bece866a27a1b1","abstract_canon_sha256":"1124d8e7434a0d02a2ec4e640af82ebc2d2578e473696a00fbc4dcd318b45d87"},"schema_version":"1.0"},"canonical_sha256":"6fa35b119dc48b1c469fd6bdc1e571402e27fc48d0fa8fa1add90873156eaf13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:46.965822Z","signature_b64":"E6fTx9x9WfELitvZYw4wrmN5Fkzo7V6a36jCgROhM9YsIybv8e7yEHXJ/bhmbL6Yxf/amCuiC+DzV+wgsJ+qCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fa35b119dc48b1c469fd6bdc1e571402e27fc48d0fa8fa1add90873156eaf13","last_reissued_at":"2026-07-05T11:15:46.965326Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:46.965326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.17427","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":"2026-07-05T11:15:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Z6UucoUubJ5B3oOP17qr0x+xqqhFgfFJYP/YMofQQAhcXjYGJzfGgaxzLhVQ6Bz9GUnV0DjTUDG2hr9QDqCDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:14:14.842591Z"},"content_sha256":"8829ca5ad6ca8f90910634cd0c50411ce8cb73c650b5c25a827471e6e74e47ad","schema_version":"1.0","event_id":"sha256:8829ca5ad6ca8f90910634cd0c50411ce8cb73c650b5c25a827471e6e74e47ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:N6RVWEM5YSFRYRU72264DZLRIA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"T$^2$: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bin Liang, Binyang Li, Huimin Wang, Kam-Fai Wong, Shubo Zhang, Xian Wu, Yefeng Zheng, Yutian Zhao, Zezhong Wang, Zhengyi Zhao","submitted_at":"2025-05-23T03:18:02Z","abstract_excerpt":"Recent advances in Large Language Models (LLMs) have demonstrated remarkable performance in Contextual Question Answering (CQA). However, prior approaches typically employ elaborate reasoning strategies regardless of question complexity, leading to low adaptability. Recent efficient test-time scaling methods introduce budget constraints or early stop mechanisms to avoid overthinking for straightforward questions. But they add human bias to the reasoning process and fail to leverage models' inherent reasoning capabilities. To address these limitations, we present T$^2$: Think-to-Think, a novel "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17427","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/2505.17427/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":"2026-07-05T11:15:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8Fi5fvF7V2ZvBEKW+ZmpklMPIncuW4vLadyhY1y7eDj1pylDdgrufmthAuNNcxYLEOfQymbPVoQuLyAPle/qAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:14:14.843126Z"},"content_sha256":"920cfd766879e72bc487dddc4d5a8e25ac3c2792010981f3d5d8b25a4f74ae89","schema_version":"1.0","event_id":"sha256:920cfd766879e72bc487dddc4d5a8e25ac3c2792010981f3d5d8b25a4f74ae89"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N6RVWEM5YSFRYRU72264DZLRIA/bundle.json","state_url":"https://pith.science/pith/N6RVWEM5YSFRYRU72264DZLRIA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N6RVWEM5YSFRYRU72264DZLRIA/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":"2026-08-08T14:14:14Z","links":{"resolver":"https://pith.science/pith/N6RVWEM5YSFRYRU72264DZLRIA","bundle":"https://pith.science/pith/N6RVWEM5YSFRYRU72264DZLRIA/bundle.json","state":"https://pith.science/pith/N6RVWEM5YSFRYRU72264DZLRIA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N6RVWEM5YSFRYRU72264DZLRIA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:N6RVWEM5YSFRYRU72264DZLRIA","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":"1124d8e7434a0d02a2ec4e640af82ebc2d2578e473696a00fbc4dcd318b45d87","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T03:18:02Z","title_canon_sha256":"ba0afbd2ace0a562f33f7830a41d2bb1fd4ca9b78bc13c9047bece866a27a1b1"},"schema_version":"1.0","source":{"id":"2505.17427","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17427","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17427v2","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17427","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"pith_short_12","alias_value":"N6RVWEM5YSFR","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"pith_short_16","alias_value":"N6RVWEM5YSFRYRU7","created_at":"2026-07-05T11:15:46Z"},{"alias_kind":"pith_short_8","alias_value":"N6RVWEM5","created_at":"2026-07-05T11:15:46Z"}],"graph_snapshots":[{"event_id":"sha256:920cfd766879e72bc487dddc4d5a8e25ac3c2792010981f3d5d8b25a4f74ae89","target":"graph","created_at":"2026-07-05T11:15:46Z","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/2505.17427/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in Large Language Models (LLMs) have demonstrated remarkable performance in Contextual Question Answering (CQA). However, prior approaches typically employ elaborate reasoning strategies regardless of question complexity, leading to low adaptability. Recent efficient test-time scaling methods introduce budget constraints or early stop mechanisms to avoid overthinking for straightforward questions. But they add human bias to the reasoning process and fail to leverage models' inherent reasoning capabilities. To address these limitations, we present T$^2$: Think-to-Think, a novel ","authors_text":"Bin Liang, Binyang Li, Huimin Wang, Kam-Fai Wong, Shubo Zhang, Xian Wu, Yefeng Zheng, Yutian Zhao, Zezhong Wang, Zhengyi Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T03:18:02Z","title":"T$^2$: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17427","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":"sha256:8829ca5ad6ca8f90910634cd0c50411ce8cb73c650b5c25a827471e6e74e47ad","target":"record","created_at":"2026-07-05T11:15:46Z","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":"1124d8e7434a0d02a2ec4e640af82ebc2d2578e473696a00fbc4dcd318b45d87","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T03:18:02Z","title_canon_sha256":"ba0afbd2ace0a562f33f7830a41d2bb1fd4ca9b78bc13c9047bece866a27a1b1"},"schema_version":"1.0","source":{"id":"2505.17427","kind":"arxiv","version":2}},"canonical_sha256":"6fa35b119dc48b1c469fd6bdc1e571402e27fc48d0fa8fa1add90873156eaf13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fa35b119dc48b1c469fd6bdc1e571402e27fc48d0fa8fa1add90873156eaf13","first_computed_at":"2026-07-05T11:15:46.965326Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:46.965326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E6fTx9x9WfELitvZYw4wrmN5Fkzo7V6a36jCgROhM9YsIybv8e7yEHXJ/bhmbL6Yxf/amCuiC+DzV+wgsJ+qCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:46.965822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17427","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8829ca5ad6ca8f90910634cd0c50411ce8cb73c650b5c25a827471e6e74e47ad","sha256:920cfd766879e72bc487dddc4d5a8e25ac3c2792010981f3d5d8b25a4f74ae89"],"state_sha256":"46946df694cecb23a54ce8a68aacc4d52dfec002b313e0bc8e882761d7c6b326"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ueGEXBHmpII3coUhl6bvhRVv6070XnvgMu4zZhK2F8JGI9ZdW3rTzG1ixcAOCf0cpB8wYyQfiDox6jyZ3L/vAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:14:14.848247Z","bundle_sha256":"f879886ecaa622c10c7ed306e48db944e7e71815103482a85784d93f1d0524c1"}}