{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SGE7DMG7OACMJIE6AMLTD3LOUN","short_pith_number":"pith:SGE7DMG7","canonical_record":{"source":{"id":"2508.17180","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T01:24:56Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"5fd3cfa4e3fe43d07d82ee959ab5b41d729d01eb9728a41d112cf51b72debc4b","abstract_canon_sha256":"4afe6747688b015d91f25229821aa2c6455c85ece8a5af51c55e93777ca9a68d"},"schema_version":"1.0"},"canonical_sha256":"9189f1b0df7004c4a09e031731ed6ea35e446dcef4e9766008a7d3956cf44bfe","source":{"kind":"arxiv","id":"2508.17180","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17180","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17180v2","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17180","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"pith_short_12","alias_value":"SGE7DMG7OACM","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"pith_short_16","alias_value":"SGE7DMG7OACMJIE6","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"pith_short_8","alias_value":"SGE7DMG7","created_at":"2026-07-05T12:07:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SGE7DMG7OACMJIE6AMLTD3LOUN","target":"record","payload":{"canonical_record":{"source":{"id":"2508.17180","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T01:24:56Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"5fd3cfa4e3fe43d07d82ee959ab5b41d729d01eb9728a41d112cf51b72debc4b","abstract_canon_sha256":"4afe6747688b015d91f25229821aa2c6455c85ece8a5af51c55e93777ca9a68d"},"schema_version":"1.0"},"canonical_sha256":"9189f1b0df7004c4a09e031731ed6ea35e446dcef4e9766008a7d3956cf44bfe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:07:40.625237Z","signature_b64":"ejce1/rW3Dz/WwHJ1bT/JNbTJckUWBjBXQjOWPd2dLZIs0X6U5vAi0+Ci4uIw90oMIZXfIDW40IPclgW43FvBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9189f1b0df7004c4a09e031731ed6ea35e446dcef4e9766008a7d3956cf44bfe","last_reissued_at":"2026-07-05T12:07:40.624755Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:07:40.624755Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.17180","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":"2026-07-05T12:07:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i/TzlVxlNmpwQXvnB87tzgHbl4nE053ERe5wuN1UsdGIhgbb67IhLkNcxxJIWsPP8POnXYWhfXHU/j47TpfeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:53:08.213012Z"},"content_sha256":"1861d406632e757957af6c85e72bde1df0938b9d5c175335a37594753d298165","schema_version":"1.0","event_id":"sha256:1861d406632e757957af6c85e72bde1df0938b9d5c175335a37594753d298165"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SGE7DMG7OACMJIE6AMLTD3LOUN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Jayant Sravan Tamarapalli, Nilay Pande, Rynaa Grover, Sahiti Yerramilli","submitted_at":"2025-08-24T01:24:56Z","abstract_excerpt":"A key frontier for Multimodal Large Language Models (MLLMs) is the ability to perform deep mathematical and spatial reasoning directly from images, moving beyond their established success in semantic description. Mathematical surface plots provide a rigorous testbed for this capability, as they isolate the task of reasoning from the semantic noise common in natural images. To measure progress on this frontier, we introduce MaRVL-QA (Mathematical Reasoning over Visual Landscapes), a new benchmark designed to quantitatively evaluate these core reasoning skills. The benchmark comprises two novel "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17180","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/2508.17180/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":"2026-07-05T12:07:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UuNEQCooCocJTdijbaqLpX/ugTc5j7/En3+nTF4FcCz4UVPY6Z0t+c3Qvg11FrEEZmggAabQYecvhANNiGtWAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:53:08.213555Z"},"content_sha256":"2b7454fd129cef670f42c8059ecb7a7e718ca0e3838e6504ee4af57d3df15ff8","schema_version":"1.0","event_id":"sha256:2b7454fd129cef670f42c8059ecb7a7e718ca0e3838e6504ee4af57d3df15ff8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SGE7DMG7OACMJIE6AMLTD3LOUN/bundle.json","state_url":"https://pith.science/pith/SGE7DMG7OACMJIE6AMLTD3LOUN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SGE7DMG7OACMJIE6AMLTD3LOUN/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":"2026-08-05T20:53:08Z","links":{"resolver":"https://pith.science/pith/SGE7DMG7OACMJIE6AMLTD3LOUN","bundle":"https://pith.science/pith/SGE7DMG7OACMJIE6AMLTD3LOUN/bundle.json","state":"https://pith.science/pith/SGE7DMG7OACMJIE6AMLTD3LOUN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SGE7DMG7OACMJIE6AMLTD3LOUN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SGE7DMG7OACMJIE6AMLTD3LOUN","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":"4afe6747688b015d91f25229821aa2c6455c85ece8a5af51c55e93777ca9a68d","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T01:24:56Z","title_canon_sha256":"5fd3cfa4e3fe43d07d82ee959ab5b41d729d01eb9728a41d112cf51b72debc4b"},"schema_version":"1.0","source":{"id":"2508.17180","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17180","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17180v2","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17180","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"pith_short_12","alias_value":"SGE7DMG7OACM","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"pith_short_16","alias_value":"SGE7DMG7OACMJIE6","created_at":"2026-07-05T12:07:40Z"},{"alias_kind":"pith_short_8","alias_value":"SGE7DMG7","created_at":"2026-07-05T12:07:40Z"}],"graph_snapshots":[{"event_id":"sha256:2b7454fd129cef670f42c8059ecb7a7e718ca0e3838e6504ee4af57d3df15ff8","target":"graph","created_at":"2026-07-05T12:07:40Z","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/2508.17180/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A key frontier for Multimodal Large Language Models (MLLMs) is the ability to perform deep mathematical and spatial reasoning directly from images, moving beyond their established success in semantic description. Mathematical surface plots provide a rigorous testbed for this capability, as they isolate the task of reasoning from the semantic noise common in natural images. To measure progress on this frontier, we introduce MaRVL-QA (Mathematical Reasoning over Visual Landscapes), a new benchmark designed to quantitatively evaluate these core reasoning skills. The benchmark comprises two novel ","authors_text":"Jayant Sravan Tamarapalli, Nilay Pande, Rynaa Grover, Sahiti Yerramilli","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T01:24:56Z","title":"MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17180","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":"sha256:1861d406632e757957af6c85e72bde1df0938b9d5c175335a37594753d298165","target":"record","created_at":"2026-07-05T12:07:40Z","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":"4afe6747688b015d91f25229821aa2c6455c85ece8a5af51c55e93777ca9a68d","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T01:24:56Z","title_canon_sha256":"5fd3cfa4e3fe43d07d82ee959ab5b41d729d01eb9728a41d112cf51b72debc4b"},"schema_version":"1.0","source":{"id":"2508.17180","kind":"arxiv","version":2}},"canonical_sha256":"9189f1b0df7004c4a09e031731ed6ea35e446dcef4e9766008a7d3956cf44bfe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9189f1b0df7004c4a09e031731ed6ea35e446dcef4e9766008a7d3956cf44bfe","first_computed_at":"2026-07-05T12:07:40.624755Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:07:40.624755Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ejce1/rW3Dz/WwHJ1bT/JNbTJckUWBjBXQjOWPd2dLZIs0X6U5vAi0+Ci4uIw90oMIZXfIDW40IPclgW43FvBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:07:40.625237Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.17180","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1861d406632e757957af6c85e72bde1df0938b9d5c175335a37594753d298165","sha256:2b7454fd129cef670f42c8059ecb7a7e718ca0e3838e6504ee4af57d3df15ff8"],"state_sha256":"9878e47303d6902599f1ea2a3fee6f6a7f4160a9c1a34ad0067501fe901a5325"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XnoDNpK/Magx5w71LVzTFEmbobkkHaoJYqrB3o9o9fPimQWb43s7lF1gTb4Hn459RtpXPqdxGBAFvMukJQn/Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:53:08.219212Z","bundle_sha256":"bcab6d247384aee7ee51115dc867a6ab87cd5f9db6d4be94c85a2975831ad314"}}