{"as_of":"2026-08-07T15:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:599cf5c95573d5dfce4714c3fa18d58189b95351e9b179df61296d610f247bb8","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:33:10.940404Z","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":"2026-07-04T09:59:44.890478Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2502.01456","last_updated":"2025-09-26T09:25:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-03T15:43:48Z","title":"Process Reinforcement through Implicit Rewards","version":2},"reference_index":127,"source":"arxiv_source","source_observed_at":"2026-05-11T20:23:30.763794Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2502.01456"},"observation_digest":"sha256:4198a84020ea578c98a83c97909c67976293bba068693e0bebb89963a41ba7c5","observation_id":"03b59bb3-e6c4-428e-bdeb-90f0d24ae605","resolution":{"observed_at":"2026-05-11T20:23:31.015188Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-07T15:33:10.940404Z","title":"Followbench: A multi-level fine-grained constraints following benchmark for large language models.arXiv preprint arXiv:2310.20410, 2023","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14810","last_updated":"2025-05-25T14:52:51Z","snapshot_observed_at":"2026-08-07T15:27:03.992813Z","submitted_at":"2025-05-20T18:18:01Z","title":"Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:33:10.940404Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2505.14810"},"observation_digest":"sha256:eb809748ae73a5c6f881703d822e540b39e23c50d43a3ecd9685af4534e6d46c","observation_id":"6e794753-fe77-449e-8d01-208d32f78d11","resolution":{"observed_at":"2026-08-07T15:33:10.940404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-07T14:56:06.978691Z","title":"Followbench: A multi-level fine-grained constraints following benchmark for large language models.arXiv preprint arXiv:2310.20410, 2023","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16944","last_updated":"2025-05-22T17:31:10Z","snapshot_observed_at":"2026-08-07T14:50:19.691024Z","submitted_at":"2025-05-22T17:31:10Z","title":"AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:56:06.978691Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2505.16944"},"observation_digest":"sha256:73fd18c48b07a308957b0b288f3570f4e6bf802a152d9097fd74da18d8f041a7","observation_id":"78054f9a-c2f4-46be-9c4d-6224a5874124","resolution":{"observed_at":"2026-08-07T14:56:06.978691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-07T11:28:20.709513Z","title":"Followbench: A multi-level fine-grained constraints following benchmark for large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02357","last_updated":"2025-07-10T15:10:23Z","snapshot_observed_at":"2026-08-07T11:23:11.298568Z","submitted_at":"2025-06-03T01:16:34Z","title":"Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:28:20.709513Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2506.02357"},"observation_digest":"sha256:0e267bb9225fc4c89c4f166573462e2508fafc2ee842faab1990b438b2632013","observation_id":"d99caefb-5ec6-40dc-bab6-a222343171bf","resolution":{"observed_at":"2026-08-07T11:28:20.709513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-06T21:16:41.694748Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00699","last_updated":"2025-07-01T11:51:40Z","snapshot_observed_at":"2026-08-06T21:06:45.971799Z","submitted_at":"2025-07-01T11:51:40Z","title":"A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:41.694748Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2507.00699"},"observation_digest":"sha256:cd5e8494227de0470641b9bda749f9b47ea2e9071edcfe6db3cc82918ecc505b","observation_id":"cea143ab-1230-4175-9893-9bb48f9b74f8","resolution":{"observed_at":"2026-08-06T21:16:41.694748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-06T17:13:47.092552Z","title":"Followbench: A multi-level fine-grained constraints following benchmark for large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11538","last_updated":"2025-07-15T17:59:42Z","snapshot_observed_at":"2026-08-06T17:04:02.815574Z","submitted_at":"2025-07-15T17:59:42Z","title":"How Many Instructions Can LLMs Follow at Once?","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T17:13:47.092552Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2507.11538"},"observation_digest":"sha256:0861bc781b03b87a2f7c3b7cce8a4c79982ddeffea96ef7beefdd321cc4d0ec3","observation_id":"3a2b176a-8bcf-4207-b9d0-f2b39abd00f9","resolution":{"observed_at":"2026-08-06T17:13:47.092552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-05T17:39:22.252419Z","title":"Followbench: A multi-level fine-grained constraints following benchmark for large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16697","last_updated":"2025-08-22T01:41:49Z","snapshot_observed_at":"2026-08-07T06:55:27.159609Z","submitted_at":"2025-08-22T01:41:49Z","title":"QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T17:39:22.252419Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2508.16697"},"observation_digest":"sha256:f94d8513ad8a29908d24466730b0c2d4d750576235dae2d6d22b22d15611769d","observation_id":"a50026f2-3946-4563-a8c4-4e0bca440f0f","resolution":{"observed_at":"2026-08-05T17:39:22.252419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2511.15408","last_updated":"2026-05-14T06:10:01Z","snapshot_observed_at":"2026-07-06T22:36:24.466921Z","submitted_at":"2025-11-19T13:05:25Z","title":"Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-17T20:50:53.673037Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2511.15408"},"observation_digest":"sha256:cf831bc8e5f2af998290e3909567d7a24c491f8253da94e4cc73519ece3233b1","observation_id":"e5b2b43c-60c3-4bcc-b384-4614c96dfddc","resolution":{"observed_at":"2026-05-17T20:52:06.021759Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2604.12312","last_updated":"2026-04-14T05:42:41Z","snapshot_observed_at":"2026-08-02T05:56:57.097541Z","submitted_at":"2026-04-14T05:42:41Z","title":"CompliBench: Benchmarking LLM Judges for Compliance Violation Detection in Dialogue Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T14:56:00.449776Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2604.12312"},"observation_digest":"sha256:ddc6cefae02c503dd235c808558d1d1c1a1f87e6de9f0af37325345beda18158","observation_id":"7b785a7e-2495-4583-9e12-2a48d583ac09","resolution":{"observed_at":"2026-05-11T11:26:02.499731Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2606.09118","last_updated":"2026-07-04T02:42:19Z","snapshot_observed_at":"2026-07-12T14:38:16.755331Z","submitted_at":"2026-06-08T07:11:56Z","title":"ComplexConstraints and Beyond: Expert Rubrics for RLVR","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T16:37:11.141846Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2606.09118"},"observation_digest":"sha256:82db6d0f37106dd4c8e8ae9cfe6085ccb2fffbc369c781b04cd0b01ebe9aff9a","observation_id":"d863c62e-c4c5-4539-932c-7380e5556d66","resolution":{"observed_at":"2026-07-03T01:17:31.354635Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2606.15874","last_updated":"2026-06-22T08:52:52Z","snapshot_observed_at":"2026-08-01T14:35:02.573121Z","submitted_at":"2026-06-14T15:47:27Z","title":"LLM-as-Code: Agentic Programming for Agent Harness","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T04:16:58.964046Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2606.15874"},"observation_digest":"sha256:06db77fcf6ffc4991e1da616b14628afb48f65a4e1c821afba978bb5609216e0","observation_id":"776a9f8e-bbe3-420f-8cb0-85c8cf6d1e8c","resolution":{"observed_at":"2026-07-03T17:18:44.164149Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2606.22873","last_updated":"2026-06-25T18:44:01Z","snapshot_observed_at":"2026-08-02T23:29:21.699637Z","submitted_at":"2026-06-22T05:37:43Z","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","version":2},"reference_index":232,"source":"arxiv_source","source_observed_at":"2026-06-26T09:19:50.623741Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2606.22873"},"observation_digest":"sha256:bf5185c33b0d6164ff8abb0aa9f1ac0e767ff1686decb018ae6519ee0e157699","observation_id":"a1f6e6a3-bd3a-4068-8ad4-f8288a904160","resolution":{"observed_at":"2026-07-04T09:59:44.891870Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.20410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-07-04T09:59:44.890478Z","title":"Followbench: A multi-level fine- grained constraints following benchmark for large language models","venue":null,"work_id":"f92977b1-3032-4714-818e-cea18170b890","year":2024},"citing_paper":{"arxiv_id":"2606.22873","last_updated":"2026-06-25T18:44:01Z","snapshot_observed_at":"2026-08-02T23:29:21.699637Z","submitted_at":"2026-06-22T05:37:43Z","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","version":3},"reference_index":231,"source":"arxiv_source","source_observed_at":"2026-06-29T01:18:19.195007Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2606.22873"},"observation_digest":"sha256:7eba831edbaec54b6e9d022a2ea76bebf87c7d9ca929c2f53c00f53c7b828058","observation_id":"008130e9-02a3-4996-b4dc-c1ed6818f878","resolution":{"observed_at":"2026-07-01T18:55:59.626380Z","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":"2310.20410","last_updated":"2024-06-05T15:39:26Z","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20410","snapshot_observed_at":"2026-08-01T02:36:07.970657Z","title":"Jiang, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25398","last_updated":"2026-08-03T20:36:31Z","snapshot_observed_at":"2026-08-07T15:14:21.522557Z","submitted_at":"2026-07-28T07:58:07Z","title":"HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction Following","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T02:36:07.970657Z"},"links":{"cited_paper":"/paper/2310.20410","citing_paper":"/paper/2607.25398"},"observation_digest":"sha256:050db7ebffe909ac9691ffd717160d37b413d9a086c534a6cec4e53e58e80b9c","observation_id":"e08387bd-acb7-4937-b3e6-d36ba320e29e","resolution":{"observed_at":"2026-08-01T02:36:07.970657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.20410/citation-record","integrity":"/paper/2310.20410/integrity","json":"/paper/2310.20410/citation-record.json","paper":"/paper/2310.20410"},"outbound":[],"paper":{"arxiv_id":"2310.20410","last_updated":"2024-06-05T15:39:26Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T16:41:07.373710Z","submitted_at":"2023-10-31T12:32:38Z","title":"FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models"},"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 14 inbound Pith citation observations for arXiv:2310.20410."}