{"as_of":"2026-08-10T07:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d4fdeefc1c55b786e25e604cada2c308da4afeec147ee61b27d09012bf78aa27","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T18:29:43.439935Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.01676/citation-record","integrity":"/paper/2502.01676/integrity","json":"/paper/2502.01676/citation-record.json","paper":"/paper/2502.01676"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.05335","last_updated":"2023-04-11T16:53:54Z","snapshot_observed_at":"2026-08-08T22:33:30.357597Z","submitted_at":"2023-04-11T16:53:54Z","title":"Toxicity in ChatGPT: Analyzing Persona-assigned Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.05335","snapshot_observed_at":"2026-08-09T18:29:43.385459Z","title":"arXiv preprint arXiv:2304.05335","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.385459Z"},"links":{"cited_paper":"/paper/2304.05335","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:c198ba946c49aed920a1e59388537c2f08604eb07df31699838ab9846b8f16e6","observation_id":"dd1dad92-56d5-4453-916b-6b9c423e243d","resolution":{"observed_at":"2026-08-09T18:29:43.385459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-09T18:29:43.402944Z","title":"arXiv preprint arXiv:2310.06825","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.402944Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:767042d5ef1cf11335d092dd3c4232368d949bceccdf140951c456468bd226cb","observation_id":"cc0e11a6-af43-4027-b028-8ab755c3301f","resolution":{"observed_at":"2026-08-09T18:29:43.402944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-09T18:29:43.433366Z","title":"arXiv preprint arXiv:2403.08295","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.433366Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:ecb8c161e01f45df25ed1b50175eba07247005b7266779426fe3f991522c5ca9","observation_id":"076792d7-93df-4805-a030-1e41039c13a7","resolution":{"observed_at":"2026-08-09T18:29:43.433366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-09T18:29:43.436663Z","title":"arXiv preprint arXiv:2307.09288","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.436663Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:f0a039ecd8d4c6919c8650d683b0327c9770538403df7ff3c0c673555061f90b","observation_id":"689f9041-e49d-4847-95c8-de27a5f38e90","resolution":{"observed_at":"2026-08-09T18:29:43.436663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17391","last_updated":"2023-11-29T06:42:36Z","snapshot_observed_at":"2026-08-09T19:32:35.322669Z","submitted_at":"2023-11-29T06:42:36Z","title":"Unveiling the Implicit Toxicity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17391","snapshot_observed_at":"2026-08-09T18:29:43.439935Z","title":"arXiv preprint arXiv:2311.17391","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.439935Z"},"links":{"cited_paper":"/paper/2311.17391","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:72a8f557680f8d8d163ec539cd0f7e271b13abc36dc55b910a0a4e1ab765d1da","observation_id":"0990e204-8544-4426-beac-9ef0fda5340c","resolution":{"observed_at":"2026-08-09T18:29:43.439935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T18:29:43.565620Z","title":"In Proceedings of the 2013 conference on empirical methods in natural language processing, 1631–1642","venue":null,"work_id":"0dea6e7a-3b0f-466c-bfff-54e770a70cec","year":2013},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.430358Z"},"links":{"citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:6af42b176ed895fb8d361a45b9796c5093da9aa2ca5ba932d562f62d3815902c","observation_id":"a419e761-decb-496e-8703-ad30b5c1054f","resolution":{"observed_at":"2026-08-09T18:29:43.571387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.03909","last_updated":"2015-03-12T22:35:06Z","snapshot_observed_at":"2026-08-09T19:33:08.325693Z","submitted_at":"2015-03-12T22:35:06Z","title":"Detection of Cyberbullying Incidents on the Instagram Social Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.03909","snapshot_observed_at":"2026-08-09T18:29:43.394219Z","title":"arXiv preprint arXiv:1503.03909","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.394219Z"},"links":{"cited_paper":"/paper/1503.03909","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:2a3a6cc64c8245697551a68b90e9e3561e0fd7d0c30f2e6d26f863c22eb9b38c","observation_id":"d6ae0d91-4c4a-48c4-b313-200fcedc6003","resolution":{"observed_at":"2026-08-09T18:29:43.394219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-09T18:29:43.426824Z","title":"arXiv preprint arXiv:1910.01108","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.426824Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:8af91d2bb2afc5e1bacd2e579678bca32549776709cc248e4f8d43763288ccbb","observation_id":"6f855806-a3f6-4d8a-9538-7b39b014fbdf","resolution":{"observed_at":"2026-08-09T18:29:43.426824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T18:29:43.579145Z","title":null,"venue":null,"work_id":"f6fcba70-627f-49cf-ac66-8091ddf72cc0","year":2020},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.407273Z"},"links":{"citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:a128dc5c18f4b2e9bbc8ea400c8e5fc5b224d787e7c1c32f298ef08a0c694af3","observation_id":"f3f9e4a2-2b64-4c8a-b312-4e82ef67ab41","resolution":{"observed_at":"2026-08-09T18:29:43.582878Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.07592","last_updated":"2022-04-04T14:16:04Z","snapshot_observed_at":"2026-08-02T01:08:10.684988Z","submitted_at":"2021-10-14T17:51:04Z","title":"DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.07592","snapshot_observed_at":"2026-08-09T18:29:43.389642Z","title":"arXiv preprint arXiv:2110.07592","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.389642Z"},"links":{"cited_paper":"/paper/2110.07592","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:0acd128b9a4f8d4f3821e4728b0de6dee621ee25a2ceeeabdd688d6300c42771","observation_id":"d73a47ed-590c-49ab-8e36-087710d564be","resolution":{"observed_at":"2026-08-09T18:29:43.389642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-08-09T21:25:20.369782Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-09T18:29:43.380274Z","title":"arXiv preprint arXiv:2309.16609","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.380274Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:7d4bae466879c0a642ee1e87d3738e4a8a2a2b820c18f76ddc329b06ce292ff0","observation_id":"eee29355-af61-42c0-836f-6f58f2b3ad29","resolution":{"observed_at":"2026-08-09T18:29:43.380274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20152","last_updated":"2025-04-30T17:07:07Z","snapshot_observed_at":"2026-08-09T23:56:48.419339Z","submitted_at":"2024-05-30T15:27:56Z","title":"Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20152","snapshot_observed_at":"2026-08-09T18:29:43.398431Z","title":"arXiv preprint arXiv:2405.20152","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T18:29:43.398431Z"},"links":{"cited_paper":"/paper/2405.20152","citing_paper":"/paper/2502.01676"},"observation_digest":"sha256:1f6052af9abc57d71445d37dbbc71c67427b89d8c9a0de6e31dcba9c1bd6755e","observation_id":"5e6561e8-0f2d-4cb3-97ca-aede02cb943f","resolution":{"observed_at":"2026-08-09T18:29:43.398431Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.01676","last_updated":"2025-02-01T23:01:39Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T19:32:42.198885Z","submitted_at":"2025-02-01T23:01:39Z","title":"Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":12},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2502.01676."}