{"as_of":"2026-08-07T22:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84d6cf434963ec091f3d8bbc0b1f602dfc7dd6cc4741c70b8389911bf13c2006","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:18:39.220697Z","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":"2026-07-03T01:37:30.542430Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":"2410.01257","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-07-03T01:37:30.542430Z","title":"Helpsteer2-preference: Complementing ratings with prefer- ences","venue":null,"work_id":"7c1f79f6-a9a9-41cc-9bfb-524bf82cc24a","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":246,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:09c509dd9bde7a3e7a585ff9de96fdc8ee853efb109bc7e272895d7759b87c68","observation_id":"0f408b60-18da-45ec-990d-743993458d17","resolution":{"observed_at":"2026-05-11T23:08:35.666129Z","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":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-07T12:18:39.220697Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24768","last_updated":"2025-05-30T16:31:05Z","snapshot_observed_at":"2026-08-07T12:11:53.994747Z","submitted_at":"2025-05-30T16:31:05Z","title":"From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:18:39.220697Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2505.24768"},"observation_digest":"sha256:c3cfe46161d37df7655ef4e1606ec7306dc924322e6322fe9ec2bc7346dc6f95","observation_id":"42666668-3a53-487f-97a0-02efe5af086b","resolution":{"observed_at":"2026-08-07T12:18:39.220697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":"2410.01257","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-07-03T01:37:30.542430Z","title":"Helpsteer2-preference: Complementing ratings with prefer- ences","venue":null,"work_id":"7c1f79f6-a9a9-41cc-9bfb-524bf82cc24a","year":2024},"citing_paper":{"arxiv_id":"2506.01937","last_updated":"2026-04-23T14:42:19Z","snapshot_observed_at":"2026-07-06T21:35:12.872021Z","submitted_at":"2025-06-02T17:54:04Z","title":"RewardBench 2: Advancing Reward Model Evaluation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-19T11:18:03.965711Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2506.01937"},"observation_digest":"sha256:7f7e5d5cf754ac23a8ff7778f8c8b42520964375eb7a47242e89aaf5b66d201c","observation_id":"16781b5f-b038-4ecf-9483-0c3d591e4a18","resolution":{"observed_at":"2026-05-19T11:22:16.659478Z","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":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-07T05:41:59.874401Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07434","last_updated":"2025-06-09T05:21:22Z","snapshot_observed_at":"2026-08-07T05:31:43.113253Z","submitted_at":"2025-06-09T05:21:22Z","title":"Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T05:41:59.874401Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2506.07434"},"observation_digest":"sha256:44cce8e3ad0b93774329f42ab739e98ff8620484a57f4f4edd7006e6ea22b04a","observation_id":"38ed5144-7e39-40df-b130-03924ff07c98","resolution":{"observed_at":"2026-08-07T05:41:59.874401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-07T05:41:58.189073Z","title":"Helpsteer2-preference: Complementing ratings with preferences, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07468","last_updated":"2026-07-06T07:31:35Z","snapshot_observed_at":"2026-08-07T05:30:38.669027Z","submitted_at":"2025-06-09T06:35:12Z","title":"Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models","version":4},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T05:41:58.189073Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2506.07468"},"observation_digest":"sha256:f906d6b76fd710bb250d17795af2f2b1f1cace44f28dc367048471ab0af882eb","observation_id":"a39d22f1-4ff5-4198-b742-58d1984e87cb","resolution":{"observed_at":"2026-08-07T05:41:58.189073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":"2410.01257","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-07-03T01:37:30.542430Z","title":"Helpsteer2-preference: Complementing ratings with prefer- ences","venue":null,"work_id":"7c1f79f6-a9a9-41cc-9bfb-524bf82cc24a","year":2024},"citing_paper":{"arxiv_id":"2506.10060","last_updated":"2026-04-17T19:21:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T18:00:00Z","title":"Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-19T09:20:12.827871Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2506.10060"},"observation_digest":"sha256:49ebec4f7bedb200c37e639981c89f31a96dda38a059b045222f94bc6e10d3fb","observation_id":"755f426c-4980-4b25-9170-c6be89aa72b4","resolution":{"observed_at":"2026-05-19T09:22:15.929822Z","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":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-06T18:11:19.287789Z","title":", author Bukharin, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09075","last_updated":"2025-07-11T23:35:54Z","snapshot_observed_at":"2026-08-07T02:35:20.693444Z","submitted_at":"2025-07-11T23:35:54Z","title":"OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T18:11:19.287789Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2507.09075"},"observation_digest":"sha256:67fc935d7b29e538e0a75a481b41e501cd38dc57e65091031583772a9fd656e1","observation_id":"e9bba9b6-ce48-4fcb-83d2-d29a073e870d","resolution":{"observed_at":"2026-08-06T18:11:19.287789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-06T14:13:06.787636Z","title":"Helpsteer2-preference: Complementing ratings with preferences, March 2025 b","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.19672","last_updated":"2025-07-25T20:52:58Z","snapshot_observed_at":"2026-08-07T12:02:14.124506Z","submitted_at":"2025-07-25T20:52:58Z","title":"Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges","version":1},"reference_index":192,"source":"arxiv_source","source_observed_at":"2026-08-06T14:13:06.787636Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2507.19672"},"observation_digest":"sha256:cb921d83a45538f853de24e187ed6b2f48657769c4d35812bcdc689940b40292","observation_id":"0941c192-6f1f-491f-82f9-a7d3820bddc5","resolution":{"observed_at":"2026-08-06T14:13:06.787636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-06T12:54:37.619519Z","title":"Helpsteer2-preference: Complementing ratings with preferences","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21391","last_updated":"2025-07-30T04:49:38Z","snapshot_observed_at":"2026-08-07T17:28:45.754374Z","submitted_at":"2025-07-28T23:52:53Z","title":"Multimodal LLMs as Customized Reward Models for Text-to-Image Generation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T12:54:37.619519Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2507.21391"},"observation_digest":"sha256:39906f1c047ad4acaeeb6edc8a23d3305d45e68d75a6ab42db802fe21b5473cc","observation_id":"0d92521d-7af7-4991-839f-b0e355584ce3","resolution":{"observed_at":"2026-08-06T12:54:37.619519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-05T22:34:14.482448Z","title":"Helpsteer2-preference: Complementing ratings with preferences,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06888","last_updated":"2025-08-09T08:35:40Z","snapshot_observed_at":"2026-08-07T20:00:53.865378Z","submitted_at":"2025-08-09T08:35:40Z","title":"Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T22:34:14.482448Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2508.06888"},"observation_digest":"sha256:b72b754e9d7d287f3828bb7991ba95511c0814681a68c76961501ba01e7e47ce","observation_id":"e57d647d-c45f-4c8d-8daf-a9bf780f2275","resolution":{"observed_at":"2026-08-05T22:34:14.482448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-05T15:25:35.388592Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19922","last_updated":"2025-08-27T14:30:08Z","snapshot_observed_at":"2026-08-07T05:01:09.581541Z","submitted_at":"2025-08-27T14:30:08Z","title":"HEAL: A Hypothesis-Based Preference-Aware Analysis Framework","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T15:25:35.388592Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2508.19922"},"observation_digest":"sha256:f66be2d00d748fcb4ff96143cb449c75c27587ffc962915cf0d1e7aee018cb8d","observation_id":"2a379593-88ca-4d08-bb53-4ebb4da394de","resolution":{"observed_at":"2026-08-05T15:25:35.388592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-04T14:52:23.416543Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.22851","last_updated":"2026-07-02T18:42:52Z","snapshot_observed_at":"2026-08-06T14:54:39.466904Z","submitted_at":"2025-09-26T19:03:24Z","title":"Adaptive Margin RLHF via Preference over Preferences","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T14:52:23.416543Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2509.22851"},"observation_digest":"sha256:c962d0ef8f15374d96bfa3927b24e9ee9c844bbe97ff228685a92770b7d9b935","observation_id":"b4039719-d289-4f68-abe4-e1b8e027db86","resolution":{"observed_at":"2026-08-04T14:52:23.416543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":"2410.01257","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-07-03T01:37:30.542430Z","title":"Helpsteer2-preference: Complementing ratings with prefer- ences","venue":null,"work_id":"7c1f79f6-a9a9-41cc-9bfb-524bf82cc24a","year":2024},"citing_paper":{"arxiv_id":"2605.09863","last_updated":"2026-05-11T01:49:17Z","snapshot_observed_at":"2026-07-06T23:21:54.140120Z","submitted_at":"2026-05-11T01:49:17Z","title":"Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:20.186356Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2605.09863"},"observation_digest":"sha256:f71db14b7cfe18cd324e4a2eacad2373d20a7701430e6c05d9f32710dcb2ea84","observation_id":"49e3ca38-f659-4cf0-8018-470ee97cc75a","resolution":{"observed_at":"2026-05-12T05:46:30.732674Z","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":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":"2410.01257","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-07-03T01:37:30.542430Z","title":"Helpsteer2-preference: Complementing ratings with prefer- ences","venue":null,"work_id":"7c1f79f6-a9a9-41cc-9bfb-524bf82cc24a","year":2024},"citing_paper":{"arxiv_id":"2606.09711","last_updated":"2026-06-08T16:32:54Z","snapshot_observed_at":"2026-07-06T23:49:03.237958Z","submitted_at":"2026-06-08T16:32:54Z","title":"Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-06-27T16:26:34.918099Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2606.09711"},"observation_digest":"sha256:0194bcb10474f9e97b0afbba44337aae24eb3343f77eb724e3ed7791ae35a272","observation_id":"0d6e39b8-e452-49dc-b58d-4e4be105394e","resolution":{"observed_at":"2026-07-03T01:37:30.543769Z","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":"2410.01257","last_updated":"2025-03-06T12:13:14Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01257","snapshot_observed_at":"2026-08-01T10:30:46.777170Z","title":"Preprint arXiv:2410.01257 [cs.LG] (2024).https://doi.org/10.48550/arXiv .2410.01257","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20216","last_updated":"2026-07-22T14:36:10Z","snapshot_observed_at":"2026-08-07T03:02:27.801093Z","submitted_at":"2026-07-22T14:36:10Z","title":"Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-01T10:30:46.777170Z"},"links":{"cited_paper":"/paper/2410.01257","citing_paper":"/paper/2607.20216"},"observation_digest":"sha256:7ee8022f67aaab398237d8fd99bf31e4fb7f2e8a50c425b39212627369d03774","observation_id":"ce7f2b4a-8299-4273-a58c-2adf792cb670","resolution":{"observed_at":"2026-08-01T10:30:46.777170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.01257/citation-record","integrity":"/paper/2410.01257/integrity","json":"/paper/2410.01257/citation-record.json","paper":"/paper/2410.01257"},"outbound":[],"paper":{"arxiv_id":"2410.01257","last_updated":"2025-03-06T12:13:14Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T06:05:52Z","title":"HelpSteer2-Preference: Complementing Ratings with Preferences"},"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 15 inbound Pith citation observations for arXiv:2410.01257."}