{"as_of":"2026-08-09T10:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e7f571a28cd2783131803235eb895146b62e1a20a05943c68d2144176ba0c8c","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:39.211105Z","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":"2026-06-30T06:14:19.277132Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2404.18930","last_updated":"2025-04-01T18:36:08Z","snapshot_observed_at":"2026-08-06T19:08:14.800394Z","submitted_at":"2024-04-29T17:59:41Z","title":"Hallucination of Multimodal Large Language Models: A Survey","version":2},"reference_index":221,"source":"pdf_text","source_observed_at":"2026-05-11T12:33:32.631346Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2404.18930"},"observation_digest":"sha256:5917619181538b82dfea678480574981fc48fccb41dd4f11631a3dc655d34471","observation_id":"fe14f953-bbb1-404b-9ca8-8c6ece7482a9","resolution":{"observed_at":"2026-05-11T12:33:33.447852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2410.04509","last_updated":"2026-04-20T02:03:24Z","snapshot_observed_at":"2026-08-02T21:14:32.237997Z","submitted_at":"2024-10-06T14:59:09Z","title":"ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection","version":3},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-23T20:10:59.264484Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2410.04509"},"observation_digest":"sha256:a614121889615fb2f49cf9e83a845fda12b0c9e36d32dd64c587af51e502bb84","observation_id":"26e69ea4-d823-4e60-88c0-5da7588b24d4","resolution":{"observed_at":"2026-05-23T20:13:24.681459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2502.02871","last_updated":"2026-04-20T02:18:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-05T04:05:27Z","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","version":2},"reference_index":262,"source":"arxiv_source","source_observed_at":"2026-05-23T04:30:38.804702Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2502.02871"},"observation_digest":"sha256:1e241c40058ccc3e916d64182c9332bb58c427bcc12b9387ed4ba86a5e61d1c0","observation_id":"d0956ce7-fe6e-479f-9a1b-770901ad5d0b","resolution":{"observed_at":"2026-05-23T04:32:32.573195Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-08-07T15:42:39.211105Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13965","last_updated":"2025-05-20T06:05:56Z","snapshot_observed_at":"2026-08-09T01:02:45.725414Z","submitted_at":"2025-05-20T06:05:56Z","title":"CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:39.211105Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2505.13965"},"observation_digest":"sha256:57ebd7ecec151edd0616dab0f143065ecb504ce6c8d0da0bbb61dd113bcfce42","observation_id":"039303be-362f-43c2-a3dd-a7334c2e3ae0","resolution":{"observed_at":"2026-08-07T15:42:39.211105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-08-07T15:39:21.868847Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14406","last_updated":"2025-09-09T05:59:48Z","snapshot_observed_at":"2026-08-08T09:33:42.546942Z","submitted_at":"2025-05-20T14:20:30Z","title":"Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis","version":4},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T15:39:21.868847Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2505.14406"},"observation_digest":"sha256:150b08e29e7bf527a14b75ecbef65a84d95cd008eb8c5a28cc64671971a3cec0","observation_id":"1ab64307-bc9c-4e40-bf65-9952f29c3e1a","resolution":{"observed_at":"2026-08-07T15:39:21.868847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-08-06T00:59:54.687764Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04088","last_updated":"2025-08-07T03:52:48Z","snapshot_observed_at":"2026-08-08T12:10:28.774282Z","submitted_at":"2025-08-06T05:10:29Z","title":"GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T00:59:54.687764Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2508.04088"},"observation_digest":"sha256:0087a332cd7a1b09a321c9a2cdd7fa12d86466374ba75c4ef153709b123cbaad","observation_id":"024b687b-ba56-4761-b2c7-6e02fdea8397","resolution":{"observed_at":"2026-08-06T00:59:54.687764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-08-05T11:15:21.804745Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03025","last_updated":"2025-09-05T07:49:47Z","snapshot_observed_at":"2026-08-07T14:57:32.906442Z","submitted_at":"2025-09-03T05:17:25Z","title":"Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T11:15:21.804745Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2509.03025"},"observation_digest":"sha256:d0ad3591e3338f94b4444d383e611c64ddfd521adc156d854302411b4a08be27","observation_id":"aab9b760-309d-4689-8ab9-86a6933752ee","resolution":{"observed_at":"2026-08-05T11:15:21.804745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-08-04T18:49:39.326525Z","title":"arXiv preprint arXiv:2408.09429 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09658","last_updated":"2026-05-25T08:56:37Z","snapshot_observed_at":"2026-08-06T16:29:30.122901Z","submitted_at":"2025-09-11T17:54:00Z","title":"Measuring Epistemic Humility in Multimodal Large Language Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T18:49:39.326525Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2509.09658"},"observation_digest":"sha256:3521e116655deaf296eabcb0d582fa81dfe8b1889a3ab9e8e480b2ea93199199","observation_id":"59435987-101f-430d-9c59-ffc0a1f19e2e","resolution":{"observed_at":"2026-08-04T18:49:39.326525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2605.05045","last_updated":"2026-05-10T12:13:49Z","snapshot_observed_at":"2026-07-06T23:17:43.402046Z","submitted_at":"2026-05-06T15:41:24Z","title":"When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T17:40:14.089081Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2605.05045"},"observation_digest":"sha256:1a6c5a05ccb7475fbdd7c2c6b9a9946f3aaa71c7b37806a22cc461f7c0403d47","observation_id":"39cbe1e5-6c6d-4751-8973-71a902410f1a","resolution":{"observed_at":"2026-05-11T17:21:09.174267Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2605.05045","last_updated":"2026-05-10T12:13:49Z","snapshot_observed_at":"2026-07-06T23:17:43.402046Z","submitted_at":"2026-05-06T15:41:24Z","title":"When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T03:52:44.531016Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2605.05045"},"observation_digest":"sha256:a547d47e2cd10de143862ab7f6d37aaeb10f791797ad3fe89dbd973d407f632c","observation_id":"81aed7bf-e75e-49ac-9e86-b3d485180fba","resolution":{"observed_at":"2026-05-12T06:51:29.231277Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2605.11559","last_updated":"2026-05-12T05:42:11Z","snapshot_observed_at":"2026-07-06T23:23:21.034839Z","submitted_at":"2026-05-12T05:42:11Z","title":"When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T01:55:07.172228Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2605.11559"},"observation_digest":"sha256:e3c90455cb0173a90bd780c84ccab7c2ff6827a25d0e1ec11571723bb5e90d24","observation_id":"bb0a3ef7-248e-4e64-bb70-58b88fbb4c71","resolution":{"observed_at":"2026-05-13T01:57:05.278955Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.09429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09429","snapshot_observed_at":"2026-06-30T06:14:19.277132Z","title":"Reefknot: A comprehensive benchmark for relation hallucination evaluation, analysis and mitigation in multimodal large language models","venue":null,"work_id":"c0edd888-0d87-4c8c-b6df-bf7783b979dd","year":2024},"citing_paper":{"arxiv_id":"2606.29812","last_updated":"2026-06-29T05:45:18Z","snapshot_observed_at":"2026-07-07T00:03:45.783349Z","submitted_at":"2026-06-29T05:45:18Z","title":"Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-30T06:10:41.786328Z"},"links":{"cited_paper":"/paper/2408.09429","citing_paper":"/paper/2606.29812"},"observation_digest":"sha256:c5cc7cc01f643a89f1eddd540a858b4be24edf4d7c4abdcadb349788448bb17e","observation_id":"b556ecc5-ea23-4e1f-bc04-b7b5a82ada69","resolution":{"observed_at":"2026-06-30T06:14:19.279010Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.09429/citation-record","integrity":"/paper/2408.09429/integrity","json":"/paper/2408.09429/citation-record.json","paper":"/paper/2408.09429"},"outbound":[],"paper":{"arxiv_id":"2408.09429","last_updated":"2025-05-30T07:27:55Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T05:50:24.482366Z","submitted_at":"2024-08-18T10:07:02Z","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2408.09429."}