{"as_of":"2026-08-07T23:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:515a8590f148dcebf2d584350c314c476e13a0ce90aa60e3e9fb1a1e0fa4c21b","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":"2026-08-07T06:34:17.273281+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":"2026-05-21T14:05:37.120262Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T14:10:13.530157Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.00934","last_updated":"2024-04-03T17:04:06Z","snapshot_observed_at":"2026-07-06T17:53:51.988186Z","submitted_at":"2024-04-01T05:39:36Z","title":"ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback","version":2},"cited_work":{"arxiv_id":"2404.00934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00934","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chatglm- rlhf: Practices of aligning large language models with human feedback","venue":null,"work_id":"c9ced531-0d1d-4eb8-88f5-be15e8d55087","year":2024},"citing_paper":{"arxiv_id":"2506.18841","last_updated":"2026-04-08T11:33:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-23T16:59:02Z","title":"LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T07:51:35.381534Z"},"links":{"cited_paper":"/paper/2404.00934","citing_paper":"/paper/2506.18841"},"observation_digest":"sha256:ae01d45e82479efb62205aa26e988c913e1c410d8b79ab4e4477a527e4f30e7c","observation_id":"63471a50-68db-4b43-9256-62cde541a79b","resolution":{"observed_at":"2026-05-19T07:52:09.307226Z","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":"2404.00934","last_updated":"2024-04-03T17:04:06Z","snapshot_observed_at":"2026-07-06T17:53:51.988186Z","submitted_at":"2024-04-01T05:39:36Z","title":"ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback","version":2},"cited_work":{"arxiv_id":"2404.00934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00934","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chatglm- rlhf: Practices of aligning large language models with human feedback","venue":null,"work_id":"c9ced531-0d1d-4eb8-88f5-be15e8d55087","year":2024},"citing_paper":{"arxiv_id":"2510.20129","last_updated":"2026-05-11T03:07:14Z","snapshot_observed_at":"2026-08-06T10:08:56.596804Z","submitted_at":"2025-10-23T02:07:54Z","title":"SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T05:22:30.509147Z"},"links":{"cited_paper":"/paper/2404.00934","citing_paper":"/paper/2510.20129"},"observation_digest":"sha256:2d1d4326da1365406a449a29bd6aad1c82675b1ad1eed11362716ab416615100","observation_id":"5653751b-b50d-4246-aec2-17d7a6739f09","resolution":{"observed_at":"2026-05-18T05:25:54.591261Z","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":"2404.00934","last_updated":"2024-04-03T17:04:06Z","snapshot_observed_at":"2026-07-06T17:53:51.988186Z","submitted_at":"2024-04-01T05:39:36Z","title":"ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback","version":2},"cited_work":{"arxiv_id":"2404.00934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00934","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chatglm- rlhf: Practices of aligning large language models with human feedback","venue":null,"work_id":"c9ced531-0d1d-4eb8-88f5-be15e8d55087","year":2024},"citing_paper":{"arxiv_id":"2511.01014","last_updated":"2026-04-16T03:16:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-02T17:06:49Z","title":"IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T01:27:00.824546Z"},"links":{"cited_paper":"/paper/2404.00934","citing_paper":"/paper/2511.01014"},"observation_digest":"sha256:67925fd225009eab283c4c5544274737be6c99076729daec1fca7dfa1dd83021","observation_id":"355d3f0a-2be2-4bf8-83e9-a6914b4e4ea1","resolution":{"observed_at":"2026-05-18T01:30:35.832619Z","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":"2404.00934","last_updated":"2024-04-03T17:04:06Z","snapshot_observed_at":"2026-07-06T17:53:51.988186Z","submitted_at":"2024-04-01T05:39:36Z","title":"ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback","version":2},"cited_work":{"arxiv_id":"2404.00934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00934","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chatglm- rlhf: Practices of aligning large language models with human feedback","venue":null,"work_id":"c9ced531-0d1d-4eb8-88f5-be15e8d55087","year":2024},"citing_paper":{"arxiv_id":"2601.21484","last_updated":"2026-05-19T09:15:43Z","snapshot_observed_at":"2026-08-03T13:18:34.276013Z","submitted_at":"2026-01-29T10:06:52Z","title":"ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-16T09:37:57.120779Z"},"links":{"cited_paper":"/paper/2404.00934","citing_paper":"/paper/2601.21484"},"observation_digest":"sha256:eb5e5082ddc8b01a1d60bcd4d0f7ed9d690c47875964b301b76ab1fd25a948e9","observation_id":"4df037d2-7431-48e2-951e-3c40693ba311","resolution":{"observed_at":"2026-05-16T09:40:49.066354Z","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":"2404.00934","last_updated":"2024-04-03T17:04:06Z","snapshot_observed_at":"2026-07-06T17:53:51.988186Z","submitted_at":"2024-04-01T05:39:36Z","title":"ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback","version":2},"cited_work":{"arxiv_id":"2404.00934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00934","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chatglm- rlhf: Practices of aligning large language models with human feedback","venue":null,"work_id":"c9ced531-0d1d-4eb8-88f5-be15e8d55087","year":2024},"citing_paper":{"arxiv_id":"2601.21484","last_updated":"2026-05-19T09:15:43Z","snapshot_observed_at":"2026-08-03T13:18:34.276013Z","submitted_at":"2026-01-29T10:06:52Z","title":"ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-21T14:05:37.120262Z"},"links":{"cited_paper":"/paper/2404.00934","citing_paper":"/paper/2601.21484"},"observation_digest":"sha256:d02da4fc4fa882487f962dde745c2763a42109ebe5118ae6c886504ad6963536","observation_id":"6f5bf541-14e5-4ffd-8b3e-1a5725aef206","resolution":{"observed_at":"2026-05-21T14:10:13.533374Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2404.00934/citation-record","integrity":"/paper/2404.00934/integrity","json":"/paper/2404.00934/citation-record.json","paper":"/paper/2404.00934"},"outbound":[],"paper":{"arxiv_id":"2404.00934","last_updated":"2024-04-03T17:04:06Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:53:51.988186Z","submitted_at":"2024-04-01T05:39:36Z","title":"ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback"},"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 5 inbound Pith citation observations for arXiv:2404.00934."}