{"as_of":"2026-08-08T01:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:08d0fb63f97682874cb9a257749feb2553cb710b9cf4ede1d1307b83c6a25932","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:04:38.204779Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-06T20:04:38.204779Z","title":"Efficient data collection for robotic manipulation via compositional generalization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03930","last_updated":"2025-07-08T01:07:30Z","snapshot_observed_at":"2026-08-07T12:49:17.624180Z","submitted_at":"2025-07-05T07:29:37Z","title":"RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:38.204779Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2507.03930"},"observation_digest":"sha256:d15bfc1a92e6dcf4e98216ed1cfb7712adfe457917096da469effb173cc35d71","observation_id":"40c46352-9aa4-4d12-8793-e66bbb5e7ba2","resolution":{"observed_at":"2026-08-06T20:04:38.204779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-05T22:50:43.837148Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06426","last_updated":"2025-08-08T16:14:01Z","snapshot_observed_at":"2026-08-07T03:09:20.958694Z","submitted_at":"2025-08-08T16:14:01Z","title":"Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T22:50:43.837148Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2508.06426"},"observation_digest":"sha256:5e03494f031dc0869665ba8648e5b0c9454a53d11f1267f4f529ac57d22c3d96","observation_id":"11540d07-e38e-42a7-a3dd-b1563f4b9078","resolution":{"observed_at":"2026-08-05T22:50:43.837148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-05T22:46:47.239655Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06429","last_updated":"2025-08-08T16:16:43Z","snapshot_observed_at":"2026-08-06T08:09:31.684688Z","submitted_at":"2025-08-08T16:16:43Z","title":"SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:47.239655Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2508.06429"},"observation_digest":"sha256:2c4500b7d3ab4b5712bfa715640aacf81c87be1526a21396e1c4ba601088d31d","observation_id":"8d9abaa8-ac07-455f-98ce-871a1db9408e","resolution":{"observed_at":"2026-08-05T22:46:47.239655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-04T21:32:56.853078Z","title":"Efficientdatacollectionforrobotic manipulation via compositional generalization, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07953","last_updated":"2025-09-09T17:41:29Z","snapshot_observed_at":"2026-08-04T21:32:53.985511Z","submitted_at":"2025-09-09T17:41:29Z","title":"RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T21:32:56.853078Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2509.07953"},"observation_digest":"sha256:b2e6187dddb89f9e34eda24e22fd4420952cb32ba10d4aed6eb756c69857dd42","observation_id":"274d4709-821b-4fb9-96a2-49819fce8333","resolution":{"observed_at":"2026-08-04T21:32:56.853078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":"2403.05110","doi":"10.48550/arxiv.2403.05110","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient data collection for robotic manipulation via compositional generalization","venue":"arXiv (Cornell University)","work_id":"2a77d677-e7a1-4227-a36f-297225141b4d","year":2024},"citing_paper":{"arxiv_id":"2512.01773","last_updated":"2026-04-15T17:13:09Z","snapshot_observed_at":"2026-08-03T04:29:49.820139Z","submitted_at":"2025-12-01T15:15:04Z","title":"IGen: Scalable Data Generation for Robot Learning from Open-World Images","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-17T02:58:36.214948Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2512.01773"},"observation_digest":"sha256:7f610aba14bb2fea926414ff36c06fa261c12e563f159928769f49d27c506d11","observation_id":"73ad7153-eb8a-45d6-85a1-a1bcc4b7493e","resolution":{"observed_at":"2026-05-17T02:58:55.009727Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-02T18:56:44.890627Z","title":"Efficient data collection for robotic manipulation via compositional generalization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.04249","last_updated":"2026-07-07T19:14:10Z","snapshot_observed_at":"2026-08-02T18:56:43.868768Z","submitted_at":"2026-03-04T16:37:40Z","title":"RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T18:56:44.890627Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2603.04249"},"observation_digest":"sha256:18f9410b3413b41aaceb826b095942c08f1510ffa232f1aed70582af46482e67","observation_id":"5676884a-bf9b-437a-8296-a34fb48c6bd4","resolution":{"observed_at":"2026-08-02T18:56:44.890627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":"2403.05110","doi":"10.48550/arxiv.2403.05110","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient data collection for robotic manipulation via compositional generalization","venue":"arXiv (Cornell University)","work_id":"2a77d677-e7a1-4227-a36f-297225141b4d","year":2024},"citing_paper":{"arxiv_id":"2604.22551","last_updated":"2026-04-24T13:45:04Z","snapshot_observed_at":"2026-08-03T02:55:51.041095Z","submitted_at":"2026-04-24T13:45:04Z","title":"QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T11:22:38.704101Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2604.22551"},"observation_digest":"sha256:30f0e32ad885fef8d7171218c46955b695b678ee66b01490654cb727ac0435f5","observation_id":"12abfe67-731f-469e-9e6d-39c204dd85af","resolution":{"observed_at":"2026-05-08T21:49:16.224108Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":"2403.05110","doi":"10.48550/arxiv.2403.05110","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient data collection for robotic manipulation via compositional generalization","venue":"arXiv (Cornell University)","work_id":"2a77d677-e7a1-4227-a36f-297225141b4d","year":2024},"citing_paper":{"arxiv_id":"2605.16054","last_updated":"2026-05-15T15:21:25Z","snapshot_observed_at":"2026-08-03T10:16:57.496693Z","submitted_at":"2026-05-15T15:21:25Z","title":"Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making","version":1},"reference_index":292,"source":"arxiv_source","source_observed_at":"2026-05-20T20:54:31.025488Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2605.16054"},"observation_digest":"sha256:f186f7604a8f671481eb8768ea7f89a6494f3befbff7ec37c227e952dc8f1611","observation_id":"7d9951b6-51d7-4f53-aa09-81d09a55d82d","resolution":{"observed_at":"2026-05-20T20:59:02.192725Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":"2403.05110","doi":"10.48550/arxiv.2403.05110","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient data collection for robotic manipulation via compositional generalization","venue":"arXiv (Cornell University)","work_id":"2a77d677-e7a1-4227-a36f-297225141b4d","year":2024},"citing_paper":{"arxiv_id":"2606.02313","last_updated":"2026-06-01T14:31:35Z","snapshot_observed_at":"2026-08-06T08:39:50.187649Z","submitted_at":"2026-06-01T14:31:35Z","title":"Towards Precise Intent-Aligned VLA Aerial Navigation via Expert-Guided GRPO","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T14:28:23.759920Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2606.02313"},"observation_digest":"sha256:34748e86cf1eeda224493bf29007c358648853627859c9d2e13478fc2f9ee47e","observation_id":"8809de1a-2b8b-4f5d-889b-49d69e7a09dd","resolution":{"observed_at":"2026-07-01T23:16:24.734407Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-07-11T19:24:48.899301Z","title":"arXiv preprint arXiv:2403.05110 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04409","last_updated":"2026-07-05T17:02:40Z","snapshot_observed_at":"2026-08-06T10:55:43.771421Z","submitted_at":"2026-07-05T17:02:40Z","title":"Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-11T19:24:48.899301Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2607.04409"},"observation_digest":"sha256:ed877936ee679fddc9359df33a672654392deb566f4e54855915f8c736864d4c","observation_id":"9820bdb9-7415-4edb-bab2-b5932fac17f6","resolution":{"observed_at":"2026-07-11T19:24:48.899301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-02T02:10:20.632060Z","title":"Available: https://arxiv.org/abs/2403.05110","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14439","last_updated":"2026-07-16T00:21:54Z","snapshot_observed_at":"2026-08-06T22:53:48.616757Z","submitted_at":"2026-07-16T00:21:54Z","title":"Active Real-World Factor-Based Evaluation for Generalist Robot Policies","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T02:10:20.632060Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2607.14439"},"observation_digest":"sha256:4668604e8b2c51640efe8aa110d44b61c4b09b2cef0cc6743cfdb5d3441c6bcd","observation_id":"2ec2dc9b-aecc-4e25-9b42-8519e0b9d16d","resolution":{"observed_at":"2026-08-02T02:10:20.632060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-01T07:04:09.459463Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21582","last_updated":"2026-07-23T17:57:09Z","snapshot_observed_at":"2026-08-07T09:20:48.342221Z","submitted_at":"2026-07-23T17:57:09Z","title":"Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T07:04:09.459463Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2607.21582"},"observation_digest":"sha256:a6e9628d1a35a98cd4d1ab830d8e6e9bf9ca47806e51e9a2759c8669d6d7282c","observation_id":"8e6ebed9-6e9f-48a3-b87d-7b372f06798f","resolution":{"observed_at":"2026-08-01T07:04:09.459463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05110","snapshot_observed_at":"2026-08-03T01:49:43.126692Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29687","last_updated":"2026-07-31T17:59:59Z","snapshot_observed_at":"2026-08-07T13:44:51.480620Z","submitted_at":"2026-07-31T17:59:59Z","title":"Diagnosing Compositional Generalization in Sequential Robot Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T01:49:43.126692Z"},"links":{"cited_paper":"/paper/2403.05110","citing_paper":"/paper/2607.29687"},"observation_digest":"sha256:6c65ae05d51594910c2d5537c747dc645097664b36c5c18bd54c756b3e001a2b","observation_id":"8bd81d50-741d-4158-b5ce-c505d20c3e0f","resolution":{"observed_at":"2026-08-03T01:49:43.126692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.05110/citation-record","integrity":"/paper/2403.05110/integrity","json":"/paper/2403.05110/citation-record.json","paper":"/paper/2403.05110"},"outbound":[],"paper":{"arxiv_id":"2403.05110","last_updated":"2024-05-21T14:18:47Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-01T20:44:26.657112Z","submitted_at":"2024-03-08T07:15:38Z","title":"Efficient Data Collection for Robotic Manipulation via Compositional Generalization"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.05110."}