{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HV6C3FA3XTMRLJV3DDZWDX7PDQ","short_pith_number":"pith:HV6C3FA3","canonical_record":{"source":{"id":"2506.17630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-21T08:15:45Z","cross_cats_sorted":[],"title_canon_sha256":"32d514320ed5524a69b7711b85849a078c8e293a352671be8f8deb048303e910","abstract_canon_sha256":"74146a51eaeed703f082d089b313383758c69e83df220437a427eb8f620a90a7"},"schema_version":"1.0"},"canonical_sha256":"3d7c2d941bbcd915a6bb18f361dfef1c14f145dd238b6ef38a2d45a2ebe5d785","source":{"kind":"arxiv","id":"2506.17630","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.17630","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"arxiv_version","alias_value":"2506.17630v1","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.17630","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"pith_short_12","alias_value":"HV6C3FA3XTMR","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"pith_short_16","alias_value":"HV6C3FA3XTMRLJV3","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"pith_short_8","alias_value":"HV6C3FA3","created_at":"2026-07-05T11:25:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HV6C3FA3XTMRLJV3DDZWDX7PDQ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.17630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-21T08:15:45Z","cross_cats_sorted":[],"title_canon_sha256":"32d514320ed5524a69b7711b85849a078c8e293a352671be8f8deb048303e910","abstract_canon_sha256":"74146a51eaeed703f082d089b313383758c69e83df220437a427eb8f620a90a7"},"schema_version":"1.0"},"canonical_sha256":"3d7c2d941bbcd915a6bb18f361dfef1c14f145dd238b6ef38a2d45a2ebe5d785","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:20.738354Z","signature_b64":"4RrOv50KH5rAGjEW80PIHP0kfATCT4NLJJAOAq/bC0kLNGDk4oK1NaEynuBNtAmo1dQUKyAnag2QZZQz/S30BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d7c2d941bbcd915a6bb18f361dfef1c14f145dd238b6ef38a2d45a2ebe5d785","last_reissued_at":"2026-07-05T11:25:20.737873Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:20.737873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.17630","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":"2026-07-05T11:25:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L1tUVMkLJE8faRFOzAwtq0+VKGheZiYnwRC1J0w1BXcLjiDG3xZTzKNrUoo49UbEpr2LKfE9agUMh3JHyKZsBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:36:16.571483Z"},"content_sha256":"6d632808936552cf803753d86cf07673afcdeac0429a8057bee128839133e51a","schema_version":"1.0","event_id":"sha256:6d632808936552cf803753d86cf07673afcdeac0429a8057bee128839133e51a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HV6C3FA3XTMRLJV3DDZWDX7PDQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jian Cheng, Ning Xu, Yang Wu, Yifan Zhang, Yiwei Wang, Yujun Cai, Yuran Wang, Yurong Wu","submitted_at":"2025-06-21T08:15:45Z","abstract_excerpt":"While Large Language Models (LLMs) demonstrate impressive reasoning capabilities, growing evidence suggests much of their success stems from memorized answer-reasoning patterns rather than genuine inference. In this work, we investigate a central question: are LLMs primarily anchored to final answers or to the textual pattern of reasoning chains? We propose a five-level answer-visibility prompt framework that systematically manipulates answer cues and probes model behavior through indirect, behavioral analysis. Experiments across state-of-the-art LLMs reveal a strong and consistent reliance on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.17630","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/2506.17630/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":"2026-07-05T11:25:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mg0fGmUhTOKlKGobTRPtnLLS76vtodoj+20OmPrpVKDuVdr1CwFh3gw2S0H20oHbhn+8CEgFjOGPJ8FD1JVLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:36:16.571966Z"},"content_sha256":"57ae31e835447e625b3d6a27fba66a68e2b4f80163c14d3f3192f4a46d4d7533","schema_version":"1.0","event_id":"sha256:57ae31e835447e625b3d6a27fba66a68e2b4f80163c14d3f3192f4a46d4d7533"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ/bundle.json","state_url":"https://pith.science/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ/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":"2026-08-07T19:36:16Z","links":{"resolver":"https://pith.science/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ","bundle":"https://pith.science/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ/bundle.json","state":"https://pith.science/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HV6C3FA3XTMRLJV3DDZWDX7PDQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HV6C3FA3XTMRLJV3DDZWDX7PDQ","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":"74146a51eaeed703f082d089b313383758c69e83df220437a427eb8f620a90a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-21T08:15:45Z","title_canon_sha256":"32d514320ed5524a69b7711b85849a078c8e293a352671be8f8deb048303e910"},"schema_version":"1.0","source":{"id":"2506.17630","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.17630","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"arxiv_version","alias_value":"2506.17630v1","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.17630","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"pith_short_12","alias_value":"HV6C3FA3XTMR","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"pith_short_16","alias_value":"HV6C3FA3XTMRLJV3","created_at":"2026-07-05T11:25:20Z"},{"alias_kind":"pith_short_8","alias_value":"HV6C3FA3","created_at":"2026-07-05T11:25:20Z"}],"graph_snapshots":[{"event_id":"sha256:57ae31e835447e625b3d6a27fba66a68e2b4f80163c14d3f3192f4a46d4d7533","target":"graph","created_at":"2026-07-05T11:25:20Z","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/2506.17630/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Large Language Models (LLMs) demonstrate impressive reasoning capabilities, growing evidence suggests much of their success stems from memorized answer-reasoning patterns rather than genuine inference. In this work, we investigate a central question: are LLMs primarily anchored to final answers or to the textual pattern of reasoning chains? We propose a five-level answer-visibility prompt framework that systematically manipulates answer cues and probes model behavior through indirect, behavioral analysis. Experiments across state-of-the-art LLMs reveal a strong and consistent reliance on","authors_text":"Jian Cheng, Ning Xu, Yang Wu, Yifan Zhang, Yiwei Wang, Yujun Cai, Yuran Wang, Yurong Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-21T08:15:45Z","title":"Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.17630","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":"sha256:6d632808936552cf803753d86cf07673afcdeac0429a8057bee128839133e51a","target":"record","created_at":"2026-07-05T11:25:20Z","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":"74146a51eaeed703f082d089b313383758c69e83df220437a427eb8f620a90a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-21T08:15:45Z","title_canon_sha256":"32d514320ed5524a69b7711b85849a078c8e293a352671be8f8deb048303e910"},"schema_version":"1.0","source":{"id":"2506.17630","kind":"arxiv","version":1}},"canonical_sha256":"3d7c2d941bbcd915a6bb18f361dfef1c14f145dd238b6ef38a2d45a2ebe5d785","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d7c2d941bbcd915a6bb18f361dfef1c14f145dd238b6ef38a2d45a2ebe5d785","first_computed_at":"2026-07-05T11:25:20.737873Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:20.737873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4RrOv50KH5rAGjEW80PIHP0kfATCT4NLJJAOAq/bC0kLNGDk4oK1NaEynuBNtAmo1dQUKyAnag2QZZQz/S30BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:20.738354Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.17630","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d632808936552cf803753d86cf07673afcdeac0429a8057bee128839133e51a","sha256:57ae31e835447e625b3d6a27fba66a68e2b4f80163c14d3f3192f4a46d4d7533"],"state_sha256":"c2be15ee18da503999897240e354794388f8e582baaa1dad5cf53b19ff56ea87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TlI9In17z0kwa7FoaB39AH8DE6cTKZzwgAoyIJiReK3G2a1sUvcOFAF0sBdv9c1HvN0J7CVSAGYMciFEeSofAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:36:16.576209Z","bundle_sha256":"3ffc1b5ae2ee3305912bf9bb4d8795b898a0099a36081967effc664e7457779c"}}