{"as_of":"2026-08-10T04:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c554ef8c7be2d8b0c0ed395a231b37e8c7431546fcf294942015d3ea493e2635","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":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":29,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T23:02:23.436936Z","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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"reference_index":254,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:95ed6afb0d08f328bece01c4130c67c70a53cd829c8573fa830dbd9f5ee47d4a","observation_id":"ca078fb9-faad-404f-8986-e3a52e6b7170","resolution":{"observed_at":"2026-05-11T23:08:35.709019Z","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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-09T23:02:23.436936Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18578","last_updated":"2025-02-26T18:58:53Z","snapshot_observed_at":"2026-08-09T22:54:35.062212Z","submitted_at":"2025-01-30T18:50:25Z","title":"R.I.P.: Better Models by Survival of the Fittest Prompts","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-09T23:02:23.436936Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2501.18578"},"observation_digest":"sha256:c7d86afc2a0348edd3fa2424e98479cc45091287c25be09ddde6cd108692d1da","observation_id":"1d3e5a2d-2572-493a-8087-6c71dbadafcb","resolution":{"observed_at":"2026-08-09T23:02:23.436936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2502.03387","last_updated":"2025-07-29T16:23:02Z","snapshot_observed_at":"2026-08-08T04:13:22.884923Z","submitted_at":"2025-02-05T17:23:45Z","title":"LIMO: Less is More for Reasoning","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-17T02:11:36.932541Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2502.03387"},"observation_digest":"sha256:7f265a9c36605ac827a4b905da8247863b1e0047874b94f1d61c063271d1aa3e","observation_id":"52402e35-8588-418a-9cd3-f34ca807c882","resolution":{"observed_at":"2026-05-17T02:11:37.211488Z","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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T23:18:40.227467Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08922","last_updated":"2025-02-13T03:15:31Z","snapshot_observed_at":"2026-08-09T00:20:18.332726Z","submitted_at":"2025-02-13T03:15:31Z","title":"Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T23:18:40.227467Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2502.08922"},"observation_digest":"sha256:05db7ebb4c4945db8e7ff61b44e054463c08b4e748a7ea87a0ef541f7587236c","observation_id":"45ba3edd-7f76-45ac-9694-d4a798e03727","resolution":{"observed_at":"2026-08-07T23:18:40.227467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T15:34:53.003907Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge.arXiv preprint arXiv:2407.19594, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14674","last_updated":"2025-05-20T17:58:03Z","snapshot_observed_at":"2026-08-09T23:08:09.834867Z","submitted_at":"2025-05-20T17:58:03Z","title":"Reward Reasoning Model","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T15:34:53.003907Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2505.14674"},"observation_digest":"sha256:6aefad531cbc32cbac2bbfee50d1f7fbf69ef1437fedd7ac7f182db24f792ab1","observation_id":"84ed587f-2345-4098-8b28-592c52a1dbb8","resolution":{"observed_at":"2026-08-07T15:34:53.003907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T14:05:20.983397Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20128","last_updated":"2025-05-26T15:27:55Z","snapshot_observed_at":"2026-08-07T20:40:53.191299Z","submitted_at":"2025-05-26T15:27:55Z","title":"Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T14:05:20.983397Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2505.20128"},"observation_digest":"sha256:8458b7d129367ab533884634ded3d0ea4a01ac12ce1950d65ea52ffeb23eae2d","observation_id":"f60556ac-df75-4b36-bca0-634d49709598","resolution":{"observed_at":"2026-08-07T14:05:20.983397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T13:23:51.799718Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23820","last_updated":"2025-05-28T01:31:54Z","snapshot_observed_at":"2026-08-09T10:08:31.202217Z","submitted_at":"2025-05-28T01:31:54Z","title":"Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T13:23:51.799718Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2505.23820"},"observation_digest":"sha256:dc70cdd8e596c5c4e25b72fc3bb0e6ab7f071fd1f15a4af65ec3cabc3c72f426","observation_id":"a01fedc5-c6b4-4bc9-9208-1279ac3466e3","resolution":{"observed_at":"2026-08-07T13:23:51.799718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T11:48:04.284134Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01484","last_updated":"2025-06-06T06:45:27Z","snapshot_observed_at":"2026-08-07T11:37:50.318818Z","submitted_at":"2025-06-02T09:45:05Z","title":"LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T11:48:04.284134Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.01484"},"observation_digest":"sha256:e94e3f33e235f7c8fe17d54e8aa5a2aa4664ef2cd5626b05cd162ec3a6f78037","observation_id":"5c91b95a-4b68-441d-9198-df6418d1d8a5","resolution":{"observed_at":"2026-08-07T11:48:04.284134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T11:26:06.652545Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02592","last_updated":"2025-06-03T08:12:47Z","snapshot_observed_at":"2026-08-07T15:19:01.070855Z","submitted_at":"2025-06-03T08:12:47Z","title":"Beyond the Surface: Measuring Self-Preference in LLM Judgments","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T11:26:06.652545Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.02592"},"observation_digest":"sha256:1d69ff186f4ed783f4b5a4c5f4a66ebbdaa26f66be4e32a3076b590fc9b3dac4","observation_id":"e66676d5-37b4-4900-9a0c-5c695b23be66","resolution":{"observed_at":"2026-08-07T11:26:06.652545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T06:07:02.109745Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06009","last_updated":"2025-06-06T11:54:06Z","snapshot_observed_at":"2026-08-09T20:36:29.484998Z","submitted_at":"2025-06-06T11:54:06Z","title":"Unlocking Recursive Thinking of LLMs: Alignment via Refinement","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T06:07:02.109745Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.06009"},"observation_digest":"sha256:0f70d522e681eaaefd22583b3ce279083a72ad01cba0fecbc99b6c9a924dc31e","observation_id":"922c3bed-baff-4497-b9b8-297001d79be1","resolution":{"observed_at":"2026-08-07T06:07:02.109745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T05:11:49.730548Z","title":"All [religious group]s are terrorists. Deport them all!","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08593","last_updated":"2025-06-10T09:02:55Z","snapshot_observed_at":"2026-08-07T05:04:25.194625Z","submitted_at":"2025-06-10T09:02:55Z","title":"Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:11:49.730548Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.08593"},"observation_digest":"sha256:4745f5d69cc96ec5dbceb2072df7f76b4068468b0ac6f502052c8ae1e05457cc","observation_id":"f95238b0-b2d5-466b-9e29-bdafb150f4d8","resolution":{"observed_at":"2026-08-07T05:11:49.730548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T05:09:45.585513Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta- judge.arXiv preprint arXiv:2407.19594, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08745","last_updated":"2025-06-10T12:40:39Z","snapshot_observed_at":"2026-08-08T00:32:04.126170Z","submitted_at":"2025-06-10T12:40:39Z","title":"Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:09:45.585513Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.08745"},"observation_digest":"sha256:11c74c3bc9b9dbc488236decc442fe3f3100b9c0659845228c630d1a9d1afb4c","observation_id":"1fef196a-87d2-4433-a6a7-37af59368ef7","resolution":{"observed_at":"2026-08-07T05:09:45.585513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-07T04:39:37.395043Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge.arXiv preprint arXiv:2407.19594, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10406","last_updated":"2025-06-12T06:59:35Z","snapshot_observed_at":"2026-08-08T09:07:12.052492Z","submitted_at":"2025-06-12T06:59:35Z","title":"PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T04:39:37.395043Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.10406"},"observation_digest":"sha256:d120f179bb3d02fa32bf2ea95e6c7859f4bfd360edc1be60cf64f3865bf1f6f5","observation_id":"420db723-0bf7-4c3b-83a8-1b5f407f5672","resolution":{"observed_at":"2026-08-07T04:39:37.395043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-06T23:49:47.916012Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16024","last_updated":"2025-06-19T04:44:34Z","snapshot_observed_at":"2026-08-09T12:39:00.788337Z","submitted_at":"2025-06-19T04:44:34Z","title":"From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T23:49:47.916012Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.16024"},"observation_digest":"sha256:61ef481abd496c1786559c4a857b4f2a943b1e889347108c7c7b70229655b882","observation_id":"95be38fa-aece-4e88-8109-e4c96cdb5f47","resolution":{"observed_at":"2026-08-06T23:49:47.916012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-06T22:56:33.549019Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a- Meta-Judge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20274","last_updated":"2025-06-25T09:34:25Z","snapshot_observed_at":"2026-08-07T12:25:51.783364Z","submitted_at":"2025-06-25T09:34:25Z","title":"Enterprise Large Language Model Evaluation Benchmark","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:56:33.549019Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.20274"},"observation_digest":"sha256:bbf5845daf28d863a0a3d88eb2e27e48c29aae36c336af1266a6f47e24365b4d","observation_id":"c95bc744-5fe4-4afd-8009-e645732914b9","resolution":{"observed_at":"2026-08-06T22:56:33.549019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-06T22:28:09.310079Z","title":"Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21495","last_updated":"2025-06-26T17:25:49Z","snapshot_observed_at":"2026-08-10T02:51:29.455972Z","submitted_at":"2025-06-26T17:25:49Z","title":"Bridging Offline and Online Reinforcement Learning for LLMs","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T22:28:09.310079Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2506.21495"},"observation_digest":"sha256:72ef203e4ef70711509636f929f8a7485f88cbc83c7845e33d4a999d5ebee14b","observation_id":"baeaa4fb-5bd9-4b9f-84da-61c5d5ffab84","resolution":{"observed_at":"2026-08-06T22:28:09.310079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-06T20:29:54.062777Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02593","last_updated":"2025-07-03T12:59:28Z","snapshot_observed_at":"2026-08-07T23:24:03.792449Z","submitted_at":"2025-07-03T12:59:28Z","title":"Revisiting Active Learning under (Human) Label Variation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T20:29:54.062777Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2507.02593"},"observation_digest":"sha256:959e3b58f010dbe5b73d71b926eb6191cac24926593d436535df5abf76fe7460","observation_id":"bfd9e083-b3fe-4b12-94e5-8e64088cc42f","resolution":{"observed_at":"2026-08-06T20:29:54.062777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-06T13:49:12.374832Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20181","last_updated":"2025-07-27T08:55:40Z","snapshot_observed_at":"2026-08-06T13:49:07.681314Z","submitted_at":"2025-07-27T08:55:40Z","title":"SGPO: Self-Generated Preference Optimization based on Self-Improver","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T13:49:12.374832Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2507.20181"},"observation_digest":"sha256:485ee3a3f08491c7e12a92cf411b20b6a984eeb45a622bbcdb620d85177ed30c","observation_id":"5cf96810-b462-4a32-874d-ae31e45beba5","resolution":{"observed_at":"2026-08-06T13:49:12.374832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-06T13:22:25.167291Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20752","last_updated":"2025-07-28T12:01:59Z","snapshot_observed_at":"2026-08-08T20:43:55.354749Z","submitted_at":"2025-07-28T12:01:59Z","title":"Multilingual Self-Taught Faithfulness Evaluators","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T13:22:25.167291Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2507.20752"},"observation_digest":"sha256:49e370426fbfe81257211de5a074c445ed88960fe81b3cbf8700333026dd2c56","observation_id":"c7ec67a3-c7ed-4663-9d70-ceb9de936158","resolution":{"observed_at":"2026-08-06T13:22:25.167291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T23:06:49.698152Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06026","last_updated":"2025-08-08T05:25:54Z","snapshot_observed_at":"2026-08-08T09:51:41.415322Z","submitted_at":"2025-08-08T05:25:54Z","title":"Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T23:06:49.698152Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2508.06026"},"observation_digest":"sha256:c1b5cddc84f0030399b8cc5a138e65565d4ca04868de547fd9d69f490c3f9995","observation_id":"71b2bf67-f471-482f-ba00-5427082fa2ee","resolution":{"observed_at":"2026-08-05T23:06:49.698152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T22:54:25.666027Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06225","last_updated":"2025-08-18T12:00:32Z","snapshot_observed_at":"2026-08-08T19:02:29.037600Z","submitted_at":"2025-08-08T11:11:22Z","title":"Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T22:54:25.666027Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2508.06225"},"observation_digest":"sha256:5f7c05ac073865e632a8bccd345eb8d4940137f78d12c526eaff8857dd03f67f","observation_id":"c4ab6dcc-ad00-4bb4-8283-79b3df2fef12","resolution":{"observed_at":"2026-08-05T22:54:25.666027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2512.23213","last_updated":"2026-04-25T15:41:44Z","snapshot_observed_at":"2026-08-02T22:41:07.172721Z","submitted_at":"2025-12-29T05:25:49Z","title":"Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process","version":3},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-16T19:57:03.999154Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2512.23213"},"observation_digest":"sha256:7f58d826d30bac1c137a7e1dc1f2f73fdd7f410262da7356fab997d7c3f7e4b5","observation_id":"388d9b6e-b63c-45f9-90f4-387e4da831d4","resolution":{"observed_at":"2026-05-16T19:58:22.687864Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2604.03993","last_updated":"2026-04-05T06:30:50Z","snapshot_observed_at":"2026-07-06T22:53:01.835843Z","submitted_at":"2026-04-05T06:30:50Z","title":"Can LLMs Learn to Reason Robustly under Noisy Supervision?","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-13T16:58:42.129870Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2604.03993"},"observation_digest":"sha256:d5706c1200001d30c8498f9b5647ec6420d8bfe0076d36bfab37dec5992abf54","observation_id":"03b422e5-c77a-4319-b3bd-13d999609f2d","resolution":{"observed_at":"2026-05-13T17:08:01.288616Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2604.22597","last_updated":"2026-04-24T14:25:01Z","snapshot_observed_at":"2026-07-06T23:08:56.419589Z","submitted_at":"2026-04-24T14:25:01Z","title":"Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-08T11:45:54.181019Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2604.22597"},"observation_digest":"sha256:65742ed5ee3ad723e9721c8b30a02bf0a2ccd7f1c76a298f82aaf42f8945383a","observation_id":"fcf5096a-b107-46f8-ab63-0b466d348d59","resolution":{"observed_at":"2026-05-11T19:31:09.407696Z","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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2606.00424","last_updated":"2026-05-29T23:21:48Z","snapshot_observed_at":"2026-08-02T07:23:01.039858Z","submitted_at":"2026-05-29T23:21:48Z","title":"Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T21:55:58.645062Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2606.00424"},"observation_digest":"sha256:ba2e001e757763326ad0894a4768258c6bf59eb3a15cdc8628e9c9fb6a6bd66f","observation_id":"8da6dbac-c112-4210-853b-3ca4df8d9d87","resolution":{"observed_at":"2026-07-01T19:56:10.972571Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2606.01249","last_updated":"2026-06-17T04:44:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-31T14:04:51Z","title":"Trust Region On-Policy Distillation","version":3},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-06-28T17:38:50.313305Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2606.01249"},"observation_digest":"sha256:cc3c34f0ea4b69b259e71046fe60d32f98f601f142b3bba473d526f8f914e6d2","observation_id":"3efc4b0a-cf2d-4b52-9170-587accd10d67","resolution":{"observed_at":"2026-07-01T20:56:13.295277Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2606.11470","last_updated":"2026-06-09T21:59:37Z","snapshot_observed_at":"2026-07-06T23:50:35.052764Z","submitted_at":"2026-06-09T21:59:37Z","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","version":1},"reference_index":264,"source":"arxiv_source","source_observed_at":"2026-06-27T12:59:51.091008Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2606.11470"},"observation_digest":"sha256:f2f02e0061f495b57e48b98db5ac4c8291c490455de86895610b9d54d695ac91","observation_id":"2f98913a-87b1-4de3-8e53-0b135e21af01","resolution":{"observed_at":"2026-07-03T05:57:41.551756Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2606.22873","last_updated":"2026-06-25T18:44:01Z","snapshot_observed_at":"2026-08-02T23:29:21.699637Z","submitted_at":"2026-06-22T05:37:43Z","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","version":2},"reference_index":218,"source":"arxiv_source","source_observed_at":"2026-06-26T09:19:50.623741Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2606.22873"},"observation_digest":"sha256:d3ed968e5be360e2e9aa56ddaf17aab44951e3309cd46aa0ba8dd21ba1c6a418","observation_id":"103da097-1211-4c59-961f-d31d121ebf1d","resolution":{"observed_at":"2026-07-04T09:59:44.789963Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2407.19594","last_updated":"2024-07-30T01:38:06Z","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge","version":2},"cited_work":{"arxiv_id":"2407.19594","doi":"10.48550/arxiv.2407.19594","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"arXiv (Cornell University)","work_id":"39d1c338-cf2d-4782-ac04-5fa28470bef1","year":2024},"citing_paper":{"arxiv_id":"2606.22873","last_updated":"2026-06-25T18:44:01Z","snapshot_observed_at":"2026-08-02T23:29:21.699637Z","submitted_at":"2026-06-22T05:37:43Z","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","version":3},"reference_index":217,"source":"arxiv_source","source_observed_at":"2026-06-29T01:18:19.195007Z"},"links":{"cited_paper":"/paper/2407.19594","citing_paper":"/paper/2606.22873"},"observation_digest":"sha256:77647b4a255aae66bfb0ecbad8144458668368b9507d5620b7c3d0136652eb6a","observation_id":"99a6daa6-1d24-418e-b7ff-d2b1e72ebef6","resolution":{"observed_at":"2026-07-01T18:55:59.731218Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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/2407.19594/citation-record","integrity":"/paper/2407.19594/integrity","json":"/paper/2407.19594/citation-record.json","paper":"/paper/2407.19594"},"outbound":[],"paper":{"arxiv_id":"2407.19594","last_updated":"2024-07-30T01:38:06Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:53:00.965448Z","submitted_at":"2024-07-28T21:58:28Z","title":"Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2407.19594."}