{"as_of":"2026-08-07T16:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:11307ba5771c3e2743d217283b6d5e22286c095e7f79003677b0ae673a4df6bc","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":"2026-08-07T14:17:57.414092Z","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":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-07T14:17:57.414092Z","title":"Benchmarking agentic workflow generation.arXiv, abs/2410.07869,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.19433","last_updated":"2025-06-01T13:59:15Z","snapshot_observed_at":"2026-08-07T14:11:55.401752Z","submitted_at":"2025-05-26T02:49:07Z","title":"Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:17:57.414092Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2505.19433"},"observation_digest":"sha256:519561543aeb852569947f3b945e6187b03992e60420eaac2b1cba13c0e8c0d1","observation_id":"f3be9658-980e-4ce6-bd07-9e2786c763eb","resolution":{"observed_at":"2026-08-07T14:17:57.414092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-07T14:12:02.983706Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19683","last_updated":"2025-05-26T08:44:53Z","snapshot_observed_at":"2026-08-07T14:06:07.358887Z","submitted_at":"2025-05-26T08:44:53Z","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","version":1},"reference_index":191,"source":"pdf_text","source_observed_at":"2026-08-07T14:12:02.983706Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2505.19683"},"observation_digest":"sha256:4048bb3a425cded92797fe46dc2dbf51e0ca12b6c1cd9cc5de4c8a0cd76e290e","observation_id":"c864a799-6015-4bb3-99bb-a712c2465412","resolution":{"observed_at":"2026-08-07T14:12:02.983706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-07T12:59:13.875762Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23006","last_updated":"2025-05-29T02:30:27Z","snapshot_observed_at":"2026-08-07T12:53:13.414700Z","submitted_at":"2025-05-29T02:30:27Z","title":"A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:13.875762Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2505.23006"},"observation_digest":"sha256:e87c6e4d87e2fff7d3dae6a9c13b8693db0df07514c0cf4ccb5c7fdbf709e37a","observation_id":"cc304348-09f1-4a50-8446-c92108e6cf3e","resolution":{"observed_at":"2026-08-07T12:59:13.875762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-07T04:34:38.736915Z","title":"Benchmarking agentic workflow generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10264","last_updated":"2025-06-12T01:16:34Z","snapshot_observed_at":"2026-08-07T04:28:19.731087Z","submitted_at":"2025-06-12T01:16:34Z","title":"WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:34:38.736915Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2506.10264"},"observation_digest":"sha256:7791bffed7f07f36fe8ef54b438054f8c5b8f13193bfcd71d2eb0ed48b7633b1","observation_id":"5cc67543-6e4f-4d34-ba79-1051858155a5","resolution":{"observed_at":"2026-08-07T04:34:38.736915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-07T06:00:19.566506Z","title":"Benchmarking agentic workflow generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11102","last_updated":"2025-06-06T17:52:18Z","snapshot_observed_at":"2026-08-07T05:54:56.593167Z","submitted_at":"2025-06-06T17:52:18Z","title":"Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey","version":1},"reference_index":120,"source":"pdf_text","source_observed_at":"2026-08-07T06:00:19.566506Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2506.11102"},"observation_digest":"sha256:4c4805a3d26e007450cc173d7813f254a3cc83895e92111c39d99b5591da099c","observation_id":"dadabf76-307c-4955-9deb-e71606e7ab0b","resolution":{"observed_at":"2026-08-07T06:00:19.566506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-07T00:48:31.741266Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12594","last_updated":"2025-06-14T18:19:05Z","snapshot_observed_at":"2026-08-07T11:53:13.790399Z","submitted_at":"2025-06-14T18:19:05Z","title":"A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications","version":1},"reference_index":227,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:31.741266Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2506.12594"},"observation_digest":"sha256:da4b74bf8f89db85d9edff0b936fd8b465c22dae3b1b0424f751e2eb9af54b79","observation_id":"17e2aa7e-3451-4b6a-95ca-1aa0549cd7f8","resolution":{"observed_at":"2026-08-07T00:48:31.741266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-06T14:57:06.674390Z","title":"Benchmarking agentic workflow generation.arXiv preprint arXiv:2410.07869, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17257","last_updated":"2025-07-23T06:56:15Z","snapshot_observed_at":"2026-08-06T18:04:24.113657Z","submitted_at":"2025-07-23T06:56:15Z","title":"Agent Identity Evals: Measuring Agentic Identity","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T14:57:06.674390Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2507.17257"},"observation_digest":"sha256:1691c11b04486faea4886fd7a16d2ddafbc8507ffb46a6ab9edd5be6bde24462","observation_id":"a9ee71b9-a33c-4ed2-bda6-c1bd3e44cf3c","resolution":{"observed_at":"2026-08-06T14:57:06.674390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":"2410.07869","doi":"10.48550/arxiv.2410.07869","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2410.07869 , year=","venue":"arXiv (Cornell University)","work_id":"98e60122-76e3-4edc-88a7-ec88e2c1cbdf","year":2024},"citing_paper":{"arxiv_id":"2511.23379","last_updated":"2026-04-27T16:40:13Z","snapshot_observed_at":"2026-08-01T19:05:09.057501Z","submitted_at":"2025-11-28T17:22:43Z","title":"TaskLens: Generating Task-Conditioned Scaffolded Interfaces for Learning Professional Creative Software","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-17T04:28:14.791359Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2511.23379"},"observation_digest":"sha256:497143ad180811cd34b46cb0fe0fda168bb1b09823a1044713b8e6f9f87dd50a","observation_id":"85befd52-cc21-4f78-a098-6c81eea92ce1","resolution":{"observed_at":"2026-05-17T04:29:01.554267Z","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":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":"2410.07869","doi":"10.48550/arxiv.2410.07869","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2410.07869 , year=","venue":"arXiv (Cornell University)","work_id":"98e60122-76e3-4edc-88a7-ec88e2c1cbdf","year":2024},"citing_paper":{"arxiv_id":"2604.08603","last_updated":"2026-04-08T06:07:48Z","snapshot_observed_at":"2026-08-03T09:06:40.497418Z","submitted_at":"2026-04-08T06:07:48Z","title":"From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T18:26:16.639817Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2604.08603"},"observation_digest":"sha256:7dfe18610b4e2e9f5342f31c179782c08980f255d78b2ab9c711845174cc4e98","observation_id":"cf7348f1-73de-4b06-a4c4-7bdcf715b840","resolution":{"observed_at":"2026-05-11T00:35:51.147487Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":"2410.07869","doi":"10.48550/arxiv.2410.07869","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2410.07869 , year=","venue":"arXiv (Cornell University)","work_id":"98e60122-76e3-4edc-88a7-ec88e2c1cbdf","year":2024},"citing_paper":{"arxiv_id":"2604.19820","last_updated":"2026-04-19T07:09:42Z","snapshot_observed_at":"2026-07-06T23:06:21.774788Z","submitted_at":"2026-04-19T07:09:42Z","title":"KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T06:15:44.360621Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2604.19820"},"observation_digest":"sha256:df5f0ad83715604b06a8c2645aa85a1c671b2f01ce850a34f9b41280471f890d","observation_id":"916b602e-aac7-4db5-a1ef-3dd8262a014e","resolution":{"observed_at":"2026-05-10T06:16:20.751265Z","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":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":"2410.07869","doi":"10.48550/arxiv.2410.07869","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2410.07869 , year=","venue":"arXiv (Cornell University)","work_id":"98e60122-76e3-4edc-88a7-ec88e2c1cbdf","year":2024},"citing_paper":{"arxiv_id":"2605.07462","last_updated":"2026-05-08T09:10:17Z","snapshot_observed_at":"2026-07-06T23:19:51.414344Z","submitted_at":"2026-05-08T09:10:17Z","title":"The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment","version":1},"reference_index":112,"source":"arxiv_source","source_observed_at":"2026-05-11T01:54:49.131461Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2605.07462"},"observation_digest":"sha256:ce1203524ccba45d51335e4f600a4838dee62ca21ffca58268f7b8b4cdc01243","observation_id":"3708edb2-6a39-45e9-b35b-b1e21ab43566","resolution":{"observed_at":"2026-05-11T01:55:50.856298Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":"2410.07869","doi":"10.48550/arxiv.2410.07869","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2410.07869 , year=","venue":"arXiv (Cornell University)","work_id":"98e60122-76e3-4edc-88a7-ec88e2c1cbdf","year":2024},"citing_paper":{"arxiv_id":"2605.13848","last_updated":"2026-03-08T18:32:28Z","snapshot_observed_at":"2026-07-06T23:25:21.032938Z","submitted_at":"2026-03-08T18:32:28Z","title":"GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-15T14:33:51.477306Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2605.13848"},"observation_digest":"sha256:b7915c750c637039d3430b56a66cdd0edd6bcb69eb1ce7f76dbd1b1b8ae89698","observation_id":"34d02e36-260b-45bd-82cb-02fa6978c8aa","resolution":{"observed_at":"2026-05-15T14:35:55.759258Z","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":"2410.07869","last_updated":"2025-02-23T15:16:14Z","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07869","snapshot_observed_at":"2026-08-02T13:37:08.201001Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21609","last_updated":"2026-05-20T01:56:11Z","snapshot_observed_at":"2026-08-07T13:25:12.238053Z","submitted_at":"2026-05-20T01:56:11Z","title":"Coupled Hierarchical Search over Topology and Execution for Agentic Workflow Synthesis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T13:37:08.201001Z"},"links":{"cited_paper":"/paper/2410.07869","citing_paper":"/paper/2607.21609"},"observation_digest":"sha256:8c5afbd13710dd2968aa4fe22f8e1cd9e558db08e329eae76416c09e158c3cf7","observation_id":"d39009ef-b948-468b-b4f3-74f1839855ea","resolution":{"observed_at":"2026-08-02T13:37:08.201001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.07869/citation-record","integrity":"/paper/2410.07869/integrity","json":"/paper/2410.07869/citation-record.json","paper":"/paper/2410.07869"},"outbound":[],"paper":{"arxiv_id":"2410.07869","last_updated":"2025-02-23T15:16:14Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T02:45:25.114808Z","submitted_at":"2024-10-10T12:41:19Z","title":"Benchmarking Agentic Workflow Generation"},"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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.07869."}