{"as_of":"2026-08-08T18:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c92b1d1a459c4c0e3aa0567cac7fd08cce5ff41e618c6ac0b3f2b24a793c7fd","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:15:46.189911Z","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":"2026-07-02T03:16:34.837300Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-08-07T15:15:46.189911Z","title":"From lists to emojis: How format bias affects model alignment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17122","last_updated":"2025-05-21T17:59:02Z","snapshot_observed_at":"2026-08-08T17:27:05.443478Z","submitted_at":"2025-05-21T17:59:02Z","title":"Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:15:46.189911Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2505.17122"},"observation_digest":"sha256:3eb35f1cbef47fac302f5f32080ccf8ef960039fd052ffa10c4b765447a6d2ab","observation_id":"bdd6cb4c-e052-4261-b266-da5ac02872ac","resolution":{"observed_at":"2026-08-07T15:15:46.189911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-08-06T22:24:10.544336Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21817","last_updated":"2025-06-26T23:44:24Z","snapshot_observed_at":"2026-08-06T22:16:12.442534Z","submitted_at":"2025-06-26T23:44:24Z","title":"Exploring the Structure of AI-Induced Language Change in Scientific English","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T22:24:10.544336Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2506.21817"},"observation_digest":"sha256:3425034bc6d38c25b7e2b098071bf0e6753c3161fc7c358de6918d5cb5d2b7d5","observation_id":"b405a927-445f-4e88-ac31-32a2d4f26d79","resolution":{"observed_at":"2026-08-06T22:24:10.544336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-08-06T10:23:58.132116Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00238","last_updated":"2025-08-01T00:47:33Z","snapshot_observed_at":"2026-08-08T07:11:36.323784Z","submitted_at":"2025-08-01T00:47:33Z","title":"Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English","version":1},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-08-06T10:23:58.132116Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2508.00238"},"observation_digest":"sha256:48cce430a45b0aea80a118e85393dbd03d11517c144147a745c118e32345ee5b","observation_id":"c1e67cb1-8e45-4ed8-be97-967ec92461cf","resolution":{"observed_at":"2026-08-06T10:23:58.132116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-08-06T05:23:13.399429Z","title":"arXiv:2409.11704 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01930","last_updated":"2025-08-03T21:45:37Z","snapshot_observed_at":"2026-08-06T05:23:12.826363Z","submitted_at":"2025-08-03T21:45:37Z","title":"Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T05:23:13.399429Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2508.01930"},"observation_digest":"sha256:06e2f8788c21fe6d83e90a2117dd6584a0b2be3fd8239ff351977bf1a8c80964","observation_id":"9e3a5301-9f6f-4d90-9f86-2335af6e0d6d","resolution":{"observed_at":"2026-08-06T05:23:13.399429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":"2409.11704","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-07-02T03:16:34.837300Z","title":"arXiv preprint arXiv:2409.11704 , year =","venue":null,"work_id":"779c60a0-42d3-48df-9a3e-c146b8937766","year":null},"citing_paper":{"arxiv_id":"2606.00334","last_updated":"2026-05-29T20:19:49Z","snapshot_observed_at":"2026-07-06T23:41:01.066075Z","submitted_at":"2026-05-29T20:19:49Z","title":"Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-28T22:04:42.187726Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2606.00334"},"observation_digest":"sha256:d72525359bf9e95d2453f4c8caf262adfb6a483c6be5c7d68c2444356e8e9186","observation_id":"58f98d01-844f-47a9-8ee2-70373e919356","resolution":{"observed_at":"2026-07-01T19:46:10.782987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":"2409.11704","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-07-02T03:16:34.837300Z","title":"arXiv preprint arXiv:2409.11704 , year =","venue":null,"work_id":"779c60a0-42d3-48df-9a3e-c146b8937766","year":null},"citing_paper":{"arxiv_id":"2606.03165","last_updated":"2026-06-02T05:23:45Z","snapshot_observed_at":"2026-07-06T23:43:27.226603Z","submitted_at":"2026-06-02T05:23:45Z","title":"Fully Automated Identification of Lexical Alignment and Preference-Stage Shifts in Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T10:10:05.477340Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2606.03165"},"observation_digest":"sha256:644d6e0f979b20ea95deb02ecdc289e719ed63144197ce3a6d599efd60b2fa2b","observation_id":"c6514743-0aac-47ad-af0d-1df99e37f28c","resolution":{"observed_at":"2026-07-02T03:16:34.839836Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-07-11T13:53:36.775836Z","title":"arXiv preprint arXiv:2409.11704 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04763","last_updated":"2026-07-26T14:17:18Z","snapshot_observed_at":"2026-08-02T10:24:43.977557Z","submitted_at":"2026-07-06T07:56:53Z","title":"Multi-Turn On-Policy Distillation with Prefix Replay","version":1},"reference_index":192,"source":"arxiv_source","source_observed_at":"2026-07-11T13:53:36.775836Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2607.04763"},"observation_digest":"sha256:0553fa8d7a4709ce02e33afb30b58c30471c39b2e7eea55394f3b990a4d4a2f9","observation_id":"06182b54-3b60-44a5-b1ea-7b6b50086b3f","resolution":{"observed_at":"2026-07-11T13:53:36.775836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-08-02T08:40:54.900443Z","title":"arXiv preprint arXiv:2409.11704 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04763","last_updated":"2026-07-26T14:17:18Z","snapshot_observed_at":"2026-08-02T10:24:43.977557Z","submitted_at":"2026-07-06T07:56:53Z","title":"Multi-Turn On-Policy Distillation with Prefix Replay","version":3},"reference_index":193,"source":"arxiv_source","source_observed_at":"2026-08-02T08:40:54.900443Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2607.04763"},"observation_digest":"sha256:09cce76aaf2846d28c58b6866f43d8ea9a97f5babfefa2745bd974e92fa95fe3","observation_id":"de268a51-d72c-482a-ba59-b50356d53973","resolution":{"observed_at":"2026-08-02T08:40:54.900443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11704","snapshot_observed_at":"2026-08-01T07:28:31.183782Z","title":"arXiv preprint arXiv:2409.11704 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21453","last_updated":"2026-07-24T02:14:44Z","snapshot_observed_at":"2026-08-03T14:01:50.133228Z","submitted_at":"2026-07-23T15:55:29Z","title":"Test-Time Scaling via Error Localization","version":2},"reference_index":131,"source":"arxiv_source","source_observed_at":"2026-08-01T07:28:31.183782Z"},"links":{"cited_paper":"/paper/2409.11704","citing_paper":"/paper/2607.21453"},"observation_digest":"sha256:aa21cf8e53154acb03dd0d94cabee8976ef6290ab7ed236202b07f61c3c2b0cd","observation_id":"d41b712c-eb33-4960-845c-fcfc6e961b15","resolution":{"observed_at":"2026-08-01T07:28:31.183782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.11704/citation-record","integrity":"/paper/2409.11704/integrity","json":"/paper/2409.11704/citation-record.json","paper":"/paper/2409.11704"},"outbound":[],"paper":{"arxiv_id":"2409.11704","last_updated":"2025-05-23T16:32:54Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:17:23.847280Z","submitted_at":"2024-09-18T05:13:18Z","title":"From Lists to Emojis: How Format Bias Affects Model Alignment"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.11704."}