{"as_of":"2026-08-17T05:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:165dbd1d7312809f4dfc4ecf4092c68ace2696065c57269b911505ad6197d501","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":"2026-08-07T13:45:53.369052Z","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":"2026-05-20T11:34:37.642372Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.00530","last_updated":"2025-01-07T20:36:35Z","snapshot_observed_at":"2026-08-16T14:04:55.814003Z","submitted_at":"2024-03-31T02:05:40Z","title":"Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization","version":2},"cited_work":{"arxiv_id":"2404.00530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00530","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Comparing bad apples to good oranges: Aligning large language models via joint preference optimization","venue":null,"work_id":"700b8caf-999a-4917-a6e3-02bcc6c6e609","year":2024},"citing_paper":{"arxiv_id":"2406.03520","last_updated":"2024-10-03T17:24:40Z","snapshot_observed_at":"2026-08-16T12:54:37.000371Z","submitted_at":"2024-06-05T17:53:55Z","title":"VideoPhy: Evaluating Physical Commonsense for Video Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T11:34:37.599691Z"},"links":{"cited_paper":"/paper/2404.00530","citing_paper":"/paper/2406.03520"},"observation_digest":"sha256:ced5585026a7c0d32c42d709b35fb75d5214ada264044951e58f08906536724a","observation_id":"5de64fa7-ae93-4790-9b7f-15defa714977","resolution":{"observed_at":"2026-05-20T11:34:37.644735Z","resolver_source":"arxiv_id","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":"2404.00530","last_updated":"2025-01-07T20:36:35Z","snapshot_observed_at":"2026-08-16T14:04:55.814003Z","submitted_at":"2024-03-31T02:05:40Z","title":"Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization","version":2},"cited_work":{"arxiv_id":"2404.00530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00530","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Comparing bad apples to good oranges: Aligning large language models via joint preference optimization","venue":null,"work_id":"700b8caf-999a-4917-a6e3-02bcc6c6e609","year":2024},"citing_paper":{"arxiv_id":"2406.11794","last_updated":"2025-04-21T17:48:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-17T17:42:57Z","title":"DataComp-LM: In search of the next generation of training sets for language models","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-17T22:58:16.523267Z"},"links":{"cited_paper":"/paper/2404.00530","citing_paper":"/paper/2406.11794"},"observation_digest":"sha256:3d29546ac09f7052072eabeff388e13763fdd79ec1d8477cd97fe7d3716a1709","observation_id":"1b4fa864-262f-400c-bf5c-9b14710afb6a","resolution":{"observed_at":"2026-05-17T22:58:16.880176Z","resolver_source":"arxiv_id","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":"2404.00530","last_updated":"2025-01-07T20:36:35Z","snapshot_observed_at":"2026-08-16T14:04:55.814003Z","submitted_at":"2024-03-31T02:05:40Z","title":"Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00530","snapshot_observed_at":"2026-08-07T13:45:53.369052Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21061","last_updated":"2025-05-27T11:47:28Z","snapshot_observed_at":"2026-08-16T21:04:06.257131Z","submitted_at":"2025-05-27T11:47:28Z","title":"LPOI: Listwise Preference Optimization for Vision Language Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:45:53.369052Z"},"links":{"cited_paper":"/paper/2404.00530","citing_paper":"/paper/2505.21061"},"observation_digest":"sha256:65a823ad798efc7e3613586bd254c1186e4508a93c824933971fdba613090271","observation_id":"a5bbb1e9-fe0f-4198-ac77-325b3bf4948c","resolution":{"observed_at":"2026-08-07T13:45:53.369052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00530","last_updated":"2025-01-07T20:36:35Z","snapshot_observed_at":"2026-08-16T14:04:55.814003Z","submitted_at":"2024-03-31T02:05:40Z","title":"Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00530","snapshot_observed_at":"2026-08-06T19:30:59.347541Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.05455","last_updated":"2025-07-09T02:57:34Z","snapshot_observed_at":"2026-08-16T15:36:59.550996Z","submitted_at":"2025-07-07T20:15:18Z","title":"ModelCitizens: Representing Community Voices in Online Safety","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T19:30:59.347541Z"},"links":{"cited_paper":"/paper/2404.00530","citing_paper":"/paper/2507.05455"},"observation_digest":"sha256:44d78afb3a6e58ffbe43cdcfccb693f6f86b6bf84ac00e55d65694e20b129181","observation_id":"219936f0-9862-473b-a218-c42eedd1b96d","resolution":{"observed_at":"2026-08-06T19:30:59.347541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00530","last_updated":"2025-01-07T20:36:35Z","snapshot_observed_at":"2026-08-16T14:04:55.814003Z","submitted_at":"2024-03-31T02:05:40Z","title":"Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization","version":2},"cited_work":{"arxiv_id":"2404.00530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00530","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Comparing bad apples to good oranges: Aligning large language models via joint preference optimization","venue":null,"work_id":"700b8caf-999a-4917-a6e3-02bcc6c6e609","year":2024},"citing_paper":{"arxiv_id":"2604.16654","last_updated":"2026-04-21T17:02:41Z","snapshot_observed_at":"2026-08-17T05:08:07.993832Z","submitted_at":"2026-04-17T19:19:57Z","title":"IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T08:19:50.909364Z"},"links":{"cited_paper":"/paper/2404.00530","citing_paper":"/paper/2604.16654"},"observation_digest":"sha256:df93ad393362a93f46e4cb2a3470aa382577e62b7e44bf6837ea102abc6c9ed1","observation_id":"35e8cd9f-309d-4843-a6f4-0924f5a0de98","resolution":{"observed_at":"2026-05-10T08:22:37.113625Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2404.00530/citation-record","integrity":"/paper/2404.00530/integrity","json":"/paper/2404.00530/citation-record.json","paper":"/paper/2404.00530"},"outbound":[],"paper":{"arxiv_id":"2404.00530","last_updated":"2025-01-07T20:36:35Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:04:55.814003Z","submitted_at":"2024-03-31T02:05:40Z","title":"Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization"},"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:2404.00530."}