{"as_of":"2026-08-17T05:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:46e3228b8f4aa9fd7683ca7671c87441b4fa779359d9ed98cffcf340a2b23095","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":"2026-08-16T06:30:59.297886+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":"2026-08-16T11:24:11.979641Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T18:04:54.988044Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.14660","last_updated":"2024-10-18T17:51:51Z","snapshot_observed_at":"2026-08-16T13:07:56.834281Z","submitted_at":"2024-10-18T17:51:51Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2410.14660","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.14660","snapshot_observed_at":"2026-08-10T18:04:54.988044Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","venue":"cs.LG","work_id":"5214d224-b0bc-45b6-a7b9-15c2fbd52855","year":2024},"citing_paper":{"arxiv_id":"2501.13120","last_updated":"2025-01-20T18:14:37Z","snapshot_observed_at":"2026-08-17T04:38:15.097478Z","submitted_at":"2025-01-20T18:14:37Z","title":"Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T18:04:54.878403Z"},"links":{"cited_paper":"/paper/2410.14660","citing_paper":"/paper/2501.13120"},"observation_digest":"sha256:46da65646d03df172c510fbfd5605a5e1964244558a24cc1442c2a6569b7dc27","observation_id":"98d21493-d420-40fa-8fe8-5fc8504dadd3","resolution":{"observed_at":"2026-08-10T18:04:54.996891Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14660","last_updated":"2024-10-18T17:51:51Z","snapshot_observed_at":"2026-08-16T13:07:56.834281Z","submitted_at":"2024-10-18T17:51:51Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14660","snapshot_observed_at":"2026-08-16T11:24:11.979641Z","title":"A large language model-driven reward design framework via dynamic feedback for reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15585","last_updated":"2025-06-09T02:36:20Z","snapshot_observed_at":"2026-08-16T13:11:23.928524Z","submitted_at":"2025-04-22T05:02:49Z","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:24:11.979641Z"},"links":{"cited_paper":"/paper/2410.14660","citing_paper":"/paper/2504.15585"},"observation_digest":"sha256:6bdd741f76275c7da320e1540d8b3086981242fb535310e3b6293fd1bcb6fae5","observation_id":"382710c0-f2f4-448e-ae0f-bbe7b49ba0dd","resolution":{"observed_at":"2026-08-16T11:24:11.979641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14660","last_updated":"2024-10-18T17:51:51Z","snapshot_observed_at":"2026-08-16T13:07:56.834281Z","submitted_at":"2024-10-18T17:51:51Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14660","snapshot_observed_at":"2026-08-16T05:58:10.047295Z","title":"A large language model-driven reward design framework via dynamic feedback for reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19480","last_updated":"2025-04-28T04:41:15Z","snapshot_observed_at":"2026-08-16T18:36:51.438167Z","submitted_at":"2025-04-28T04:41:15Z","title":"An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:10.047295Z"},"links":{"cited_paper":"/paper/2410.14660","citing_paper":"/paper/2504.19480"},"observation_digest":"sha256:0612e9e7f8caca28318f100f22b3cdfc3abb656eb8bb462f4ea2233c2652a51d","observation_id":"2d94f594-0ac8-4c2a-aff3-c1d81d109122","resolution":{"observed_at":"2026-08-16T05:58:10.047295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14660","last_updated":"2024-10-18T17:51:51Z","snapshot_observed_at":"2026-08-16T13:07:56.834281Z","submitted_at":"2024-10-18T17:51:51Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14660","snapshot_observed_at":"2026-08-15T23:16:15.861536Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.05108","last_updated":"2025-06-21T18:06:15Z","snapshot_observed_at":"2026-08-16T02:42:25.344531Z","submitted_at":"2025-05-08T10:13:53Z","title":"Multi-agent Embodied AI: Advances and Future Directions","version":2},"reference_index":174,"source":"pdf_text","source_observed_at":"2026-08-15T23:16:15.861536Z"},"links":{"cited_paper":"/paper/2410.14660","citing_paper":"/paper/2505.05108"},"observation_digest":"sha256:3d4bac2ce54df879324b217d23147f5cdb49392c93ea9cf67bbfd4b8a1676ebd","observation_id":"ed849146-9d4a-4fb2-9ae2-8ed25d91f3eb","resolution":{"observed_at":"2026-08-15T23:16:15.861536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14660","last_updated":"2024-10-18T17:51:51Z","snapshot_observed_at":"2026-08-16T13:07:56.834281Z","submitted_at":"2024-10-18T17:51:51Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14660","snapshot_observed_at":"2026-08-04T16:06:58.678063Z","title":"A large lan- guage model-driven reward design framework via dynamic feedback for reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.16136","last_updated":"2026-06-06T20:56:22Z","snapshot_observed_at":"2026-08-10T20:19:51.572441Z","submitted_at":"2025-09-19T16:35:27Z","title":"Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning","version":5},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T16:06:58.678063Z"},"links":{"cited_paper":"/paper/2410.14660","citing_paper":"/paper/2509.16136"},"observation_digest":"sha256:8fd7d756165db51fd67315f53d680295329659141cca51ba36f4764a2791aa47","observation_id":"c6d2f380-04e8-4134-b4b2-84c078c371a5","resolution":{"observed_at":"2026-08-04T16:06:58.678063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.14660/citation-record","integrity":"/paper/2410.14660/integrity","json":"/paper/2410.14660/citation-record.json","paper":"/paper/2410.14660"},"outbound":[],"paper":{"arxiv_id":"2410.14660","last_updated":"2024-10-18T17:51:51Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:07:56.834281Z","submitted_at":"2024-10-18T17:51:51Z","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.14660."}