{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FLZVW5NAIYOAXWHF7RLNLKKZA4","short_pith_number":"pith:FLZVW5NA","canonical_record":{"source":{"id":"2403.11236","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T14:49:09Z","cross_cats_sorted":[],"title_canon_sha256":"6e50c4de44ce614401f321527840a11a822b2d6db39daf2551f2c74f7391c0a2","abstract_canon_sha256":"9e5811ea3da49a81de3e8c418e6e0075a2bbad6399d2920fdc13b5473ca7790a"},"schema_version":"1.0"},"canonical_sha256":"2af35b75a0461c0bd8e5fc56d5a95907335b989ed017bffdecae2451701b3126","source":{"kind":"arxiv","id":"2403.11236","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11236","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11236v2","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11236","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"pith_short_12","alias_value":"FLZVW5NAIYOA","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"pith_short_16","alias_value":"FLZVW5NAIYOAXWHF","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"pith_short_8","alias_value":"FLZVW5NA","created_at":"2026-07-05T08:11:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FLZVW5NAIYOAXWHF7RLNLKKZA4","target":"record","payload":{"canonical_record":{"source":{"id":"2403.11236","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T14:49:09Z","cross_cats_sorted":[],"title_canon_sha256":"6e50c4de44ce614401f321527840a11a822b2d6db39daf2551f2c74f7391c0a2","abstract_canon_sha256":"9e5811ea3da49a81de3e8c418e6e0075a2bbad6399d2920fdc13b5473ca7790a"},"schema_version":"1.0"},"canonical_sha256":"2af35b75a0461c0bd8e5fc56d5a95907335b989ed017bffdecae2451701b3126","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:11:58.542934Z","signature_b64":"8tcDqU8nYFQMO58Ww4PBaYMQ0qI85lAUkkCayy1ZhL6WgVGUWdYcYhD2w8c7SHX3PzXDuuTXPALftDv42yp9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2af35b75a0461c0bd8e5fc56d5a95907335b989ed017bffdecae2451701b3126","last_reissued_at":"2026-07-05T08:11:58.542465Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:11:58.542465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.11236","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":"2026-07-05T08:11:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AKaiuEeZlo07kie0IYtMO8xp9VhlShLLyWgIpDE5QmHColhcuBln65u82848YZnLgu/SSx4qxhMKkZXAkc7NAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T22:53:02.418638Z"},"content_sha256":"d39cdd577aeb5750f9ea680ce89496fe450200e7f2e19e041c3c17b049f716c0","schema_version":"1.0","event_id":"sha256:d39cdd577aeb5750f9ea680ce89496fe450200e7f2e19e041c3c17b049f716c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FLZVW5NAIYOAXWHF7RLNLKKZA4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Daoyuan Chen, Guian Fang, Mengsha Liu, Yaliang Li, Ying Shen","submitted_at":"2024-03-17T14:49:09Z","abstract_excerpt":"Data visualization serves as a critical means for presenting data and mining its valuable insights. The task of chart summarization, through natural language processing techniques, facilitates in-depth data analysis of charts. However, there still are notable deficiencies in terms of visual-language matching and reasoning ability for existing approaches. To address these limitations, this study constructs a large-scale dataset of comprehensive chart-caption pairs and fine-tuning instructions on each chart. Thanks to the broad coverage of various topics and visual styles within this dataset, be"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11236","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/2403.11236/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":"2026-07-05T08:11:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GCX4hWFvLeqvbjXDll7iPu721mggppqndSWgbLu+QIfSbvASkEUPskKIwhBaF/CX2Z2DRXegVesvjYlK3HQoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T22:53:02.419282Z"},"content_sha256":"16935e811c686d514faae801a20ecc9f8b878babeb95becb8dff23489f01894b","schema_version":"1.0","event_id":"sha256:16935e811c686d514faae801a20ecc9f8b878babeb95becb8dff23489f01894b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4/bundle.json","state_url":"https://pith.science/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4/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":"2026-08-13T22:53:02Z","links":{"resolver":"https://pith.science/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4","bundle":"https://pith.science/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4/bundle.json","state":"https://pith.science/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FLZVW5NAIYOAXWHF7RLNLKKZA4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FLZVW5NAIYOAXWHF7RLNLKKZA4","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":"9e5811ea3da49a81de3e8c418e6e0075a2bbad6399d2920fdc13b5473ca7790a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T14:49:09Z","title_canon_sha256":"6e50c4de44ce614401f321527840a11a822b2d6db39daf2551f2c74f7391c0a2"},"schema_version":"1.0","source":{"id":"2403.11236","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11236","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11236v2","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11236","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"pith_short_12","alias_value":"FLZVW5NAIYOA","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"pith_short_16","alias_value":"FLZVW5NAIYOAXWHF","created_at":"2026-07-05T08:11:58Z"},{"alias_kind":"pith_short_8","alias_value":"FLZVW5NA","created_at":"2026-07-05T08:11:58Z"}],"graph_snapshots":[{"event_id":"sha256:16935e811c686d514faae801a20ecc9f8b878babeb95becb8dff23489f01894b","target":"graph","created_at":"2026-07-05T08:11:58Z","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/2403.11236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data visualization serves as a critical means for presenting data and mining its valuable insights. The task of chart summarization, through natural language processing techniques, facilitates in-depth data analysis of charts. However, there still are notable deficiencies in terms of visual-language matching and reasoning ability for existing approaches. To address these limitations, this study constructs a large-scale dataset of comprehensive chart-caption pairs and fine-tuning instructions on each chart. Thanks to the broad coverage of various topics and visual styles within this dataset, be","authors_text":"Daoyuan Chen, Guian Fang, Mengsha Liu, Yaliang Li, Ying Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11236","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:d39cdd577aeb5750f9ea680ce89496fe450200e7f2e19e041c3c17b049f716c0","target":"record","created_at":"2026-07-05T08:11:58Z","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":"9e5811ea3da49a81de3e8c418e6e0075a2bbad6399d2920fdc13b5473ca7790a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T14:49:09Z","title_canon_sha256":"6e50c4de44ce614401f321527840a11a822b2d6db39daf2551f2c74f7391c0a2"},"schema_version":"1.0","source":{"id":"2403.11236","kind":"arxiv","version":2}},"canonical_sha256":"2af35b75a0461c0bd8e5fc56d5a95907335b989ed017bffdecae2451701b3126","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2af35b75a0461c0bd8e5fc56d5a95907335b989ed017bffdecae2451701b3126","first_computed_at":"2026-07-05T08:11:58.542465Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:58.542465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8tcDqU8nYFQMO58Ww4PBaYMQ0qI85lAUkkCayy1ZhL6WgVGUWdYcYhD2w8c7SHX3PzXDuuTXPALftDv42yp9Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:58.542934Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.11236","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d39cdd577aeb5750f9ea680ce89496fe450200e7f2e19e041c3c17b049f716c0","sha256:16935e811c686d514faae801a20ecc9f8b878babeb95becb8dff23489f01894b"],"state_sha256":"3b7f71a71d9ad94db2fda535c431414f7758f98a66df9a0897098fb981be9c39"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jkf3pzc/6fl47DhA/jIq3OtMD4SAyPb6fQmSC3mckJfzrcCSXGyY+eDAxQUZuLiynwrdGDMU19ym0ZyVZUrdBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T22:53:02.434358Z","bundle_sha256":"dbf785f40c31424bf2a4b8ce0d9eba75d4edd1424c40797a497294845416576a"}}