{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:S3LDVVL2X2CKL65PE4ECTGXV3G","short_pith_number":"pith:S3LDVVL2","canonical_record":{"source":{"id":"2507.22938","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T07:36:13Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"17527c7998c163bed0dd656c61123c4f16d2df99f9c26b0d4b3347b5b89c4524","abstract_canon_sha256":"dfd4c2532033066eb93b6a77d2d89a01b835df0d970f39664e1f5d46fca01c8d"},"schema_version":"1.0"},"canonical_sha256":"96d63ad57abe84a5fbaf2708299af5d9962a115755adbab147e36093bb9fe7fa","source":{"kind":"arxiv","id":"2507.22938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22938","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22938v1","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22938","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"pith_short_12","alias_value":"S3LDVVL2X2CK","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"pith_short_16","alias_value":"S3LDVVL2X2CKL65P","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"pith_short_8","alias_value":"S3LDVVL2","created_at":"2026-07-05T11:46:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:S3LDVVL2X2CKL65PE4ECTGXV3G","target":"record","payload":{"canonical_record":{"source":{"id":"2507.22938","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T07:36:13Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"17527c7998c163bed0dd656c61123c4f16d2df99f9c26b0d4b3347b5b89c4524","abstract_canon_sha256":"dfd4c2532033066eb93b6a77d2d89a01b835df0d970f39664e1f5d46fca01c8d"},"schema_version":"1.0"},"canonical_sha256":"96d63ad57abe84a5fbaf2708299af5d9962a115755adbab147e36093bb9fe7fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:02.356496Z","signature_b64":"I4xqWI1otVcN7HXd3bWFCbv+h4lLbJBISfZIHZkBCE7G/EoiOf3lxfuc7yCRFhu80o4qzkm6lFXTcZK8pUqTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96d63ad57abe84a5fbaf2708299af5d9962a115755adbab147e36093bb9fe7fa","last_reissued_at":"2026-07-05T11:46:02.355952Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:02.355952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.22938","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":"2026-07-05T11:46:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NkFBvDgp5ylDHQG6Xuknz2ByObgTKtHVrKfJg2TwLShPYKl2qaANZt20yk87r8g+f1oY1tZPyJyau4wdUsU8Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T17:32:26.918733Z"},"content_sha256":"3d9ea486bd7942e0f50fe5c943e4a8412bf4dbddb7eac6595bbdded5fe053189","schema_version":"1.0","event_id":"sha256:3d9ea486bd7942e0f50fe5c943e4a8412bf4dbddb7eac6595bbdded5fe053189"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:S3LDVVL2X2CKL65PE4ECTGXV3G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Akshat Jain, Ayaaz Khan, H. G. Ranjani, Pranav Gangrade, Sujoy Roychowdhury, Sumit Soman, Venkata Dharma Surya Narayana Sastry","submitted_at":"2025-07-25T07:36:13Z","abstract_excerpt":"Question-Answering (QA) from technical documents often involves questions whose answers are present in figures, such as flowcharts or flow diagrams. Text-based Retrieval Augmented Generation (RAG) systems may fail to answer such questions. We leverage graph representations of flowcharts obtained from Visual large Language Models (VLMs) and incorporate them in a text-based RAG system to show that this approach can enable image retrieval for QA in the telecom domain. We present the end-to-end approach from processing technical documents, classifying image types, building graph representations, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22938","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/2507.22938/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":"2026-07-05T11:46:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rq85P23VUTmZx7P+YHGzn/3/FOVAYIT30YQWebEKyOubmczxag73SDLMmGxNw7oqjeiaX1ic9dloi7RAk3+SDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T17:32:26.919108Z"},"content_sha256":"acdceedae88126bae45bfc30b4b7994d075cc9d37690a3e2d8010a4a23790490","schema_version":"1.0","event_id":"sha256:acdceedae88126bae45bfc30b4b7994d075cc9d37690a3e2d8010a4a23790490"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S3LDVVL2X2CKL65PE4ECTGXV3G/bundle.json","state_url":"https://pith.science/pith/S3LDVVL2X2CKL65PE4ECTGXV3G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S3LDVVL2X2CKL65PE4ECTGXV3G/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":"2026-08-22T17:32:26Z","links":{"resolver":"https://pith.science/pith/S3LDVVL2X2CKL65PE4ECTGXV3G","bundle":"https://pith.science/pith/S3LDVVL2X2CKL65PE4ECTGXV3G/bundle.json","state":"https://pith.science/pith/S3LDVVL2X2CKL65PE4ECTGXV3G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S3LDVVL2X2CKL65PE4ECTGXV3G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S3LDVVL2X2CKL65PE4ECTGXV3G","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":"dfd4c2532033066eb93b6a77d2d89a01b835df0d970f39664e1f5d46fca01c8d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T07:36:13Z","title_canon_sha256":"17527c7998c163bed0dd656c61123c4f16d2df99f9c26b0d4b3347b5b89c4524"},"schema_version":"1.0","source":{"id":"2507.22938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22938","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22938v1","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22938","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"pith_short_12","alias_value":"S3LDVVL2X2CK","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"pith_short_16","alias_value":"S3LDVVL2X2CKL65P","created_at":"2026-07-05T11:46:02Z"},{"alias_kind":"pith_short_8","alias_value":"S3LDVVL2","created_at":"2026-07-05T11:46:02Z"}],"graph_snapshots":[{"event_id":"sha256:acdceedae88126bae45bfc30b4b7994d075cc9d37690a3e2d8010a4a23790490","target":"graph","created_at":"2026-07-05T11:46:02Z","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/2507.22938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Question-Answering (QA) from technical documents often involves questions whose answers are present in figures, such as flowcharts or flow diagrams. Text-based Retrieval Augmented Generation (RAG) systems may fail to answer such questions. We leverage graph representations of flowcharts obtained from Visual large Language Models (VLMs) and incorporate them in a text-based RAG system to show that this approach can enable image retrieval for QA in the telecom domain. We present the end-to-end approach from processing technical documents, classifying image types, building graph representations, a","authors_text":"Akshat Jain, Ayaaz Khan, H. G. Ranjani, Pranav Gangrade, Sujoy Roychowdhury, Sumit Soman, Venkata Dharma Surya Narayana Sastry","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T07:36:13Z","title":"A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22938","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":"sha256:3d9ea486bd7942e0f50fe5c943e4a8412bf4dbddb7eac6595bbdded5fe053189","target":"record","created_at":"2026-07-05T11:46:02Z","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":"dfd4c2532033066eb93b6a77d2d89a01b835df0d970f39664e1f5d46fca01c8d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T07:36:13Z","title_canon_sha256":"17527c7998c163bed0dd656c61123c4f16d2df99f9c26b0d4b3347b5b89c4524"},"schema_version":"1.0","source":{"id":"2507.22938","kind":"arxiv","version":1}},"canonical_sha256":"96d63ad57abe84a5fbaf2708299af5d9962a115755adbab147e36093bb9fe7fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96d63ad57abe84a5fbaf2708299af5d9962a115755adbab147e36093bb9fe7fa","first_computed_at":"2026-07-05T11:46:02.355952Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:02.355952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I4xqWI1otVcN7HXd3bWFCbv+h4lLbJBISfZIHZkBCE7G/EoiOf3lxfuc7yCRFhu80o4qzkm6lFXTcZK8pUqTAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:02.356496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.22938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d9ea486bd7942e0f50fe5c943e4a8412bf4dbddb7eac6595bbdded5fe053189","sha256:acdceedae88126bae45bfc30b4b7994d075cc9d37690a3e2d8010a4a23790490"],"state_sha256":"313f7a125782db04d9f80aa28efe27b0b4f858eeac6a6cb63089b4e94cd45d6a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GVrZXmJZL9KSQSOjhTu/ZiUGCDmOpeuN0PmfXdK26/1NPBzuDd09s3ho51lIK7IyyuLlKy1BrGRAal2Lj49CCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T17:32:26.921742Z","bundle_sha256":"39aadac94bf1fbc4dbdd85dc723046245fcfbfeaaca46c104edcf1b86f6482cc"}}