{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7VJSBYOFD4VUCNQQDZLVMTZBQA","short_pith_number":"pith:7VJSBYOF","canonical_record":{"source":{"id":"2605.28389","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T12:26:34Z","cross_cats_sorted":[],"title_canon_sha256":"960a53b0a71124f5f9562c502da0a1d5be4c64c99f6a40b20e42789f47ad4830","abstract_canon_sha256":"ef9caa950e6d69b0afb1218ef462fa211ab9aaac534ae1630d400a81f2b9e525"},"schema_version":"1.0"},"canonical_sha256":"fd5320e1c51f2b4136101e57564f21802d7b994d3813936c4f12b36e9739ffba","source":{"kind":"arxiv","id":"2605.28389","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28389","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28389v1","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28389","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"pith_short_12","alias_value":"7VJSBYOFD4VU","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"pith_short_16","alias_value":"7VJSBYOFD4VUCNQQ","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"pith_short_8","alias_value":"7VJSBYOF","created_at":"2026-05-28T01:05:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7VJSBYOFD4VUCNQQDZLVMTZBQA","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28389","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T12:26:34Z","cross_cats_sorted":[],"title_canon_sha256":"960a53b0a71124f5f9562c502da0a1d5be4c64c99f6a40b20e42789f47ad4830","abstract_canon_sha256":"ef9caa950e6d69b0afb1218ef462fa211ab9aaac534ae1630d400a81f2b9e525"},"schema_version":"1.0"},"canonical_sha256":"fd5320e1c51f2b4136101e57564f21802d7b994d3813936c4f12b36e9739ffba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:16.829921Z","signature_b64":"YmsyzZLP7df9TL3KI7CVPkZ16mcy9PdbhO6+IJT5/i3+lYZoz5lr4fHshmFPARRCXORgf+uqBGPP0BT2dT9ZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd5320e1c51f2b4136101e57564f21802d7b994d3813936c4f12b36e9739ffba","last_reissued_at":"2026-05-28T01:05:16.829521Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:16.829521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28389","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":"2026-05-28T01:05:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gK31ZXguPml8tlSDrf/k+Me6RXxBfZIjOh2u5W/eEeV0tHh16T872CcL/ndUWeg8NvCCGVL7MHdMANZ2EuNOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T19:56:50.258980Z"},"content_sha256":"f99e9b500b92622322ace8b84db493d2dcc5c83067c959ee529b34d0b9141639","schema_version":"1.0","event_id":"sha256:f99e9b500b92622322ace8b84db493d2dcc5c83067c959ee529b34d0b9141639"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7VJSBYOFD4VUCNQQDZLVMTZBQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Haihui Pan, Hongfei Jiang, Junwei Bao, Yang Song","submitted_at":"2026-05-27T12:26:34Z","abstract_excerpt":"While large language models have made significant progress in mathematical reasoning, they remain unreliable at judging the correctness of their own solutions. Existing approaches that equip models with self-verification typically treat solution generation and verification as two separate tasks, leading to substantially increased training time. In this paper, we propose FABSVer, which fuses these two tasks into a single generation pass, dramatically reducing training overhead while jointly optimizing both capabilities. We further identify a convergence bottleneck both theoretically and empiric"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28389","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/2605.28389/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":"2026-05-28T01:05:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tBnas5yI0pGQeQhglryA/P7GVxU9T3w+mu7cGUNCJegfgFNA9+TYniuuuNpLFAhUmni5x4zQ5dTpblFLFprLBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T19:56:50.259382Z"},"content_sha256":"74181f3ce6ca902fcb61232e2c7bc99676170b670b71ca64b6af0a2cde75b9fe","schema_version":"1.0","event_id":"sha256:74181f3ce6ca902fcb61232e2c7bc99676170b670b71ca64b6af0a2cde75b9fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA/bundle.json","state_url":"https://pith.science/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA/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":"2026-06-04T19:56:50Z","links":{"resolver":"https://pith.science/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA","bundle":"https://pith.science/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA/bundle.json","state":"https://pith.science/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7VJSBYOFD4VUCNQQDZLVMTZBQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7VJSBYOFD4VUCNQQDZLVMTZBQA","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":"ef9caa950e6d69b0afb1218ef462fa211ab9aaac534ae1630d400a81f2b9e525","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T12:26:34Z","title_canon_sha256":"960a53b0a71124f5f9562c502da0a1d5be4c64c99f6a40b20e42789f47ad4830"},"schema_version":"1.0","source":{"id":"2605.28389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28389","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28389v1","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28389","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"pith_short_12","alias_value":"7VJSBYOFD4VU","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"pith_short_16","alias_value":"7VJSBYOFD4VUCNQQ","created_at":"2026-05-28T01:05:16Z"},{"alias_kind":"pith_short_8","alias_value":"7VJSBYOF","created_at":"2026-05-28T01:05:16Z"}],"graph_snapshots":[{"event_id":"sha256:74181f3ce6ca902fcb61232e2c7bc99676170b670b71ca64b6af0a2cde75b9fe","target":"graph","created_at":"2026-05-28T01:05:16Z","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/2605.28389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While large language models have made significant progress in mathematical reasoning, they remain unreliable at judging the correctness of their own solutions. Existing approaches that equip models with self-verification typically treat solution generation and verification as two separate tasks, leading to substantially increased training time. In this paper, we propose FABSVer, which fuses these two tasks into a single generation pass, dramatically reducing training overhead while jointly optimizing both capabilities. We further identify a convergence bottleneck both theoretically and empiric","authors_text":"Haihui Pan, Hongfei Jiang, Junwei Bao, Yang Song","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T12:26:34Z","title":"FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28389","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:f99e9b500b92622322ace8b84db493d2dcc5c83067c959ee529b34d0b9141639","target":"record","created_at":"2026-05-28T01:05:16Z","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":"ef9caa950e6d69b0afb1218ef462fa211ab9aaac534ae1630d400a81f2b9e525","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T12:26:34Z","title_canon_sha256":"960a53b0a71124f5f9562c502da0a1d5be4c64c99f6a40b20e42789f47ad4830"},"schema_version":"1.0","source":{"id":"2605.28389","kind":"arxiv","version":1}},"canonical_sha256":"fd5320e1c51f2b4136101e57564f21802d7b994d3813936c4f12b36e9739ffba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd5320e1c51f2b4136101e57564f21802d7b994d3813936c4f12b36e9739ffba","first_computed_at":"2026-05-28T01:05:16.829521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:16.829521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YmsyzZLP7df9TL3KI7CVPkZ16mcy9PdbhO6+IJT5/i3+lYZoz5lr4fHshmFPARRCXORgf+uqBGPP0BT2dT9ZDQ==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:16.829921Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f99e9b500b92622322ace8b84db493d2dcc5c83067c959ee529b34d0b9141639","sha256:74181f3ce6ca902fcb61232e2c7bc99676170b670b71ca64b6af0a2cde75b9fe"],"state_sha256":"59711812cd06ff0830ca6bcc6240cca326672c2b86af20b4f67ca0b6ff385e89"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"unbzS0ffyd4kj9inWwctQp0ci/kwMpwx/n4qbmJjppYEscGTktx4eRq5izrnLZNzNV7RSiBRPIem62J/eJ74Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T19:56:50.263907Z","bundle_sha256":"a6804656690d68775b60b32f39e99ce334be3b82d17564169399508227a1d542"}}