{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WD4EZAFFPXCUWOIXQVFYKORDON","short_pith_number":"pith:WD4EZAFF","canonical_record":{"source":{"id":"2508.06009","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T04:39:16Z","cross_cats_sorted":[],"title_canon_sha256":"5ee70ffb7f4c3fdb814123903170dcac10d15c359d8a193ff4806726c135d462","abstract_canon_sha256":"183573d616368c3977ef7395a0f487baab3c7975cf9e47d787d1782c4e43e398"},"schema_version":"1.0"},"canonical_sha256":"b0f84c80a57dc54b3917854b853a23734e166db76cc48eefef71c75611b746c8","source":{"kind":"arxiv","id":"2508.06009","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06009","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06009v1","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06009","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"pith_short_12","alias_value":"WD4EZAFFPXCU","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"pith_short_16","alias_value":"WD4EZAFFPXCUWOIX","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"pith_short_8","alias_value":"WD4EZAFF","created_at":"2026-07-05T11:50:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WD4EZAFFPXCUWOIXQVFYKORDON","target":"record","payload":{"canonical_record":{"source":{"id":"2508.06009","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T04:39:16Z","cross_cats_sorted":[],"title_canon_sha256":"5ee70ffb7f4c3fdb814123903170dcac10d15c359d8a193ff4806726c135d462","abstract_canon_sha256":"183573d616368c3977ef7395a0f487baab3c7975cf9e47d787d1782c4e43e398"},"schema_version":"1.0"},"canonical_sha256":"b0f84c80a57dc54b3917854b853a23734e166db76cc48eefef71c75611b746c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:47.345877Z","signature_b64":"K+OzTpIuN6F4dR5mfPSJ17F7nU19kxkQLJG0gh03GnSS5wAAEs6b7uXl1M5wIjyAzhMgos+LGoTBj9QfoiVBDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0f84c80a57dc54b3917854b853a23734e166db76cc48eefef71c75611b746c8","last_reissued_at":"2026-07-05T11:50:47.345199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:47.345199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.06009","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":"2026-07-05T11:50:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QjRA9YAMdcyGrX/cB8MDZ+Y+qo87QXWemHmRUdzkQmy4nz4YPEX8aBJjIjQmZyst1reXWz+fXvPAC4DVuYD5Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:29:23.100320Z"},"content_sha256":"b2783200a97766fb70e300d3cdd9b82486c2511ddcf66e81194315472fdd4a46","schema_version":"1.0","event_id":"sha256:b2783200a97766fb70e300d3cdd9b82486c2511ddcf66e81194315472fdd4a46"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WD4EZAFFPXCUWOIXQVFYKORDON","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dawei Yin, Jun Feng, Xiuyi Chen, Yue Guo, Zhentao Zhang, Zhenyang Li, Zhihan Zhou, Zixin Wang","submitted_at":"2025-08-08T04:39:16Z","abstract_excerpt":"Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in visual mathematical reasoning across various existing benchmarks. However, these benchmarks are predominantly based on clean or processed multimodal inputs, without incorporating the images provided by real-world Kindergarten through 12th grade (K-12) educational users. To address this gap, we introduce MathReal, a meticulously curated dataset comprising 2,000 mathematical questions with images captured by handheld mobile devices in authentic scenarios. Each question is an image, containing the question text "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06009","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/2508.06009/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":"2026-07-05T11:50:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V9blkFW7t3uE+K/uvj7vV31/eUlqroPZbLa6/DjWiAFdDFtxunwuuTLpiK+gxDeXeMCA4u1r8QfaXMqiSQ33Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:29:23.100860Z"},"content_sha256":"2a8725ad5aea326939e5216e8802936561e8fb33ef674811352d247076d572fe","schema_version":"1.0","event_id":"sha256:2a8725ad5aea326939e5216e8802936561e8fb33ef674811352d247076d572fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WD4EZAFFPXCUWOIXQVFYKORDON/bundle.json","state_url":"https://pith.science/pith/WD4EZAFFPXCUWOIXQVFYKORDON/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WD4EZAFFPXCUWOIXQVFYKORDON/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":"2026-08-06T15:29:23Z","links":{"resolver":"https://pith.science/pith/WD4EZAFFPXCUWOIXQVFYKORDON","bundle":"https://pith.science/pith/WD4EZAFFPXCUWOIXQVFYKORDON/bundle.json","state":"https://pith.science/pith/WD4EZAFFPXCUWOIXQVFYKORDON/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WD4EZAFFPXCUWOIXQVFYKORDON/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WD4EZAFFPXCUWOIXQVFYKORDON","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":"183573d616368c3977ef7395a0f487baab3c7975cf9e47d787d1782c4e43e398","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T04:39:16Z","title_canon_sha256":"5ee70ffb7f4c3fdb814123903170dcac10d15c359d8a193ff4806726c135d462"},"schema_version":"1.0","source":{"id":"2508.06009","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06009","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06009v1","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06009","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"pith_short_12","alias_value":"WD4EZAFFPXCU","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"pith_short_16","alias_value":"WD4EZAFFPXCUWOIX","created_at":"2026-07-05T11:50:47Z"},{"alias_kind":"pith_short_8","alias_value":"WD4EZAFF","created_at":"2026-07-05T11:50:47Z"}],"graph_snapshots":[{"event_id":"sha256:2a8725ad5aea326939e5216e8802936561e8fb33ef674811352d247076d572fe","target":"graph","created_at":"2026-07-05T11:50:47Z","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/2508.06009/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in visual mathematical reasoning across various existing benchmarks. However, these benchmarks are predominantly based on clean or processed multimodal inputs, without incorporating the images provided by real-world Kindergarten through 12th grade (K-12) educational users. To address this gap, we introduce MathReal, a meticulously curated dataset comprising 2,000 mathematical questions with images captured by handheld mobile devices in authentic scenarios. Each question is an image, containing the question text ","authors_text":"Dawei Yin, Jun Feng, Xiuyi Chen, Yue Guo, Zhentao Zhang, Zhenyang Li, Zhihan Zhou, Zixin Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T04:39:16Z","title":"MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06009","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:b2783200a97766fb70e300d3cdd9b82486c2511ddcf66e81194315472fdd4a46","target":"record","created_at":"2026-07-05T11:50:47Z","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":"183573d616368c3977ef7395a0f487baab3c7975cf9e47d787d1782c4e43e398","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T04:39:16Z","title_canon_sha256":"5ee70ffb7f4c3fdb814123903170dcac10d15c359d8a193ff4806726c135d462"},"schema_version":"1.0","source":{"id":"2508.06009","kind":"arxiv","version":1}},"canonical_sha256":"b0f84c80a57dc54b3917854b853a23734e166db76cc48eefef71c75611b746c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0f84c80a57dc54b3917854b853a23734e166db76cc48eefef71c75611b746c8","first_computed_at":"2026-07-05T11:50:47.345199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:47.345199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K+OzTpIuN6F4dR5mfPSJ17F7nU19kxkQLJG0gh03GnSS5wAAEs6b7uXl1M5wIjyAzhMgos+LGoTBj9QfoiVBDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:47.345877Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.06009","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2783200a97766fb70e300d3cdd9b82486c2511ddcf66e81194315472fdd4a46","sha256:2a8725ad5aea326939e5216e8802936561e8fb33ef674811352d247076d572fe"],"state_sha256":"085397c0259e3525aa94146d82797d585e33eba9e48414ef0ccae6359d14a007"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+XYvmf9yJbg1JydapcMo6l4KRKXdtNdhJxDitY4fu7btdJM1BVFA5uPm6OPFowxsoIvGK4a3exrgKY3DpwUwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:29:23.104691Z","bundle_sha256":"b875239d89552a2dbd9dbe22dd86d5b9a47b4718312ee2e0bd898d422c3fb940"}}