{"as_of":"2026-08-08T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d6e9b94d5d3313b42081bef40c260e624ad4d64eee9d26f86a0eeba2a0f8018","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:09:20.285362Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T16:14:53.359413Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.11236","last_updated":"2024-04-25T03:04:14Z","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11236","snapshot_observed_at":"2026-08-07T05:09:20.285362Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08691","last_updated":"2025-06-10T11:02:36Z","snapshot_observed_at":"2026-08-08T00:05:08.877544Z","submitted_at":"2025-06-10T11:02:36Z","title":"VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:09:20.285362Z"},"links":{"cited_paper":"/paper/2403.11236","citing_paper":"/paper/2506.08691"},"observation_digest":"sha256:57b48d9151397ffd7497d3f94ba0665a44ef67f2e8275823e886e6cc642698fa","observation_id":"53f62501-e248-4ba2-b045-4974a4ac66bb","resolution":{"observed_at":"2026-08-07T05:09:20.285362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11236","last_updated":"2024-04-25T03:04:14Z","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","version":2},"cited_work":{"arxiv_id":"2403.11236","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.11236","snapshot_observed_at":"2026-06-30T16:14:53.359413Z","title":"Chartthinker: A contextual chain-of-thought approach to optimized chart summarization","venue":null,"work_id":"b3c732d6-820e-4838-b52f-4878dec1cdd4","year":2024},"citing_paper":{"arxiv_id":"2604.02794","last_updated":"2026-04-03T07:02:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-03T07:02:13Z","title":"CharTool: Tool-Integrated Visual Reasoning for Chart Understanding","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-13T20:07:23.153064Z"},"links":{"cited_paper":"/paper/2403.11236","citing_paper":"/paper/2604.02794"},"observation_digest":"sha256:f286c358b2a970c8aafb32f2998cbb60719519c18a9e69f54c77ba8edd4aeff8","observation_id":"994b84ee-1d7a-4e33-a958-1e3a0f80d0dc","resolution":{"observed_at":"2026-05-13T20:08:12.773616Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11236","last_updated":"2024-04-25T03:04:14Z","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","version":2},"cited_work":{"arxiv_id":"2403.11236","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.11236","snapshot_observed_at":"2026-06-30T16:14:53.359413Z","title":"Chartthinker: A contextual chain-of-thought approach to optimized chart summarization","venue":null,"work_id":"b3c732d6-820e-4838-b52f-4878dec1cdd4","year":2024},"citing_paper":{"arxiv_id":"2605.23694","last_updated":"2026-06-10T14:24:51Z","snapshot_observed_at":"2026-08-07T13:48:22.700762Z","submitted_at":"2026-05-22T14:49:48Z","title":"ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-25T04:13:11.756347Z"},"links":{"cited_paper":"/paper/2403.11236","citing_paper":"/paper/2605.23694"},"observation_digest":"sha256:b17fa371dcbe33db7db0bf5c9ea5d65ddefac997d7beccfb2e6e7a2c1d411865","observation_id":"0a74d9d5-5131-40ba-bd3d-c4993866d207","resolution":{"observed_at":"2026-05-25T04:15:20.075175Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11236","last_updated":"2024-04-25T03:04:14Z","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","version":2},"cited_work":{"arxiv_id":"2403.11236","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.11236","snapshot_observed_at":"2026-06-30T16:14:53.359413Z","title":"Chartthinker: A contextual chain-of-thought approach to optimized chart summarization","venue":null,"work_id":"b3c732d6-820e-4838-b52f-4878dec1cdd4","year":2024},"citing_paper":{"arxiv_id":"2605.23694","last_updated":"2026-06-10T14:24:51Z","snapshot_observed_at":"2026-08-07T13:48:22.700762Z","submitted_at":"2026-05-22T14:49:48Z","title":"ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T16:10:01.774725Z"},"links":{"cited_paper":"/paper/2403.11236","citing_paper":"/paper/2605.23694"},"observation_digest":"sha256:d33183fffb59f2a7dcf161da218f75d58b414cc4291100c81c68650ef58a3750","observation_id":"3fd3a89f-2e4d-4dfd-8645-193aa46a4d7d","resolution":{"observed_at":"2026-06-30T16:14:53.361322Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11236","last_updated":"2024-04-25T03:04:14Z","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11236","snapshot_observed_at":"2026-07-12T01:50:59.184754Z","title":"arXiv preprint arXiv:2403.11236 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03530","last_updated":"2026-07-03T17:59:58Z","snapshot_observed_at":"2026-08-04T18:44:44.436706Z","submitted_at":"2026-07-03T17:59:58Z","title":"MentalThink: Shaping Thoughts in Mental SVG World","version":1},"reference_index":223,"source":"arxiv_source","source_observed_at":"2026-07-12T01:50:59.184754Z"},"links":{"cited_paper":"/paper/2403.11236","citing_paper":"/paper/2607.03530"},"observation_digest":"sha256:e514d3b62f5d57659cec0b1615defaab112e3b578e704c6d423b821304982868","observation_id":"7c7c03ed-f4a2-473d-8300-2c7eb7017a98","resolution":{"observed_at":"2026-07-12T01:50:59.184754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.11236/citation-record","integrity":"/paper/2403.11236/integrity","json":"/paper/2403.11236/citation-record.json","paper":"/paper/2403.11236"},"outbound":[],"paper":{"arxiv_id":"2403.11236","last_updated":"2024-04-25T03:04:14Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T14:49:09Z","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.11236."}