{"as_of":"2026-08-08T01:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:309d05545f9fc568e19254b6d630d850446c915a2a511279659e69e25113433e","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":"2026-08-07T12:35:38.089411Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T02:16:42.442964Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-08-07T12:35:38.089411Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24189","last_updated":"2025-07-16T21:38:06Z","snapshot_observed_at":"2026-08-07T12:28:09.814528Z","submitted_at":"2025-05-30T03:59:35Z","title":"Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:38.089411Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2505.24189"},"observation_digest":"sha256:42fb02b7acab989deb02b4c56944d770fe890ca8f74dd3e777df6e1e3c15412c","observation_id":"04881b05-875b-46b1-b652-0e3e14c25525","resolution":{"observed_at":"2026-08-07T12:35:38.089411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-08-06T23:35:23.583752Z","title":"Workflowllm: Enhancing workflow orchestration capability of large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17580","last_updated":"2025-06-21T04:22:34Z","snapshot_observed_at":"2026-08-06T23:28:01.092205Z","submitted_at":"2025-06-21T04:22:34Z","title":"Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:23.583752Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2506.17580"},"observation_digest":"sha256:30810833d5db443bdd8b5df97775374c8a051325ea5696126dac12484abdb6b2","observation_id":"7907fbfd-f69b-4739-a309-c6fedcf752ef","resolution":{"observed_at":"2026-08-06T23:35:23.583752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-08-06T15:34:30.101786Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15501","last_updated":"2025-07-21T11:07:05Z","snapshot_observed_at":"2026-08-06T15:28:09.314982Z","submitted_at":"2025-07-21T11:07:05Z","title":"ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:30.101786Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2507.15501"},"observation_digest":"sha256:22a8e86aff435b86cc06a810f69021754cb8ff53526ffa96273b864ad30c3595","observation_id":"ceee335f-2b95-4684-96d0-711d0138d1b6","resolution":{"observed_at":"2026-08-06T15:34:30.101786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2604.05150","last_updated":"2026-04-06T20:25:20Z","snapshot_observed_at":"2026-07-06T22:53:55.926521Z","submitted_at":"2026-04-06T20:25:20Z","title":"Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T18:57:34.386632Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2604.05150"},"observation_digest":"sha256:4eca5fe9b603212d940141a2417870b173f6431456328afa94215cfbf3f16860","observation_id":"adc8f8b0-b7d7-473e-ae53-14b333f1f138","resolution":{"observed_at":"2026-05-10T23:40:51.514268Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2604.19667","last_updated":"2026-05-26T16:14:10Z","snapshot_observed_at":"2026-08-01T19:03:44.336277Z","submitted_at":"2026-04-21T16:49:11Z","title":"Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T02:56:53.055513Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2604.19667"},"observation_digest":"sha256:dd73d8ab5ebf8038dfeaab4cb410dcbe997d9be58f1229955077f8e1be737074","observation_id":"b43c1534-441a-461f-bbae-36191f77e30e","resolution":{"observed_at":"2026-05-11T12:46:25.468207Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2605.06365","last_updated":"2026-05-07T14:39:37Z","snapshot_observed_at":"2026-08-06T13:04:30.081731Z","submitted_at":"2026-05-07T14:39:37Z","title":"From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T09:50:30.639962Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2605.06365"},"observation_digest":"sha256:f157feed4446791c179f152d0a1d4920b003e21554ac13378632c89f734efd9a","observation_id":"c7ed7a2b-04c2-4159-97a5-087e54829407","resolution":{"observed_at":"2026-05-11T20:16:09.153733Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2605.06992","last_updated":"2026-05-07T22:16:03Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T22:16:03Z","title":"Why Does Agentic Safety Fail to Generalize Across Tasks?","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-11T01:55:38.554161Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2605.06992"},"observation_digest":"sha256:6db7a6af8ba800239328bd18e7429a315baa5a106387c9e1f8d8b3e972d8481c","observation_id":"8deadad7-b803-4541-928a-2a7dda3d6704","resolution":{"observed_at":"2026-05-11T04:06:00.000168Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2605.12087","last_updated":"2026-05-12T13:09:07Z","snapshot_observed_at":"2026-07-06T23:23:48.960874Z","submitted_at":"2026-05-12T13:09:07Z","title":"Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T04:38:38.425043Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2605.12087"},"observation_digest":"sha256:ce07e3624c8dc97ff9c023551430a532f067493241b013f53556b5784cca188a","observation_id":"4ac8e496-964b-41b9-b487-bcf22c42ee19","resolution":{"observed_at":"2026-05-13T04:42:16.146647Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2605.14483","last_updated":"2026-05-14T07:24:09Z","snapshot_observed_at":"2026-07-06T23:25:54.070869Z","submitted_at":"2026-05-14T07:24:09Z","title":"LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-15T02:13:46.176823Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2605.14483"},"observation_digest":"sha256:471f020f294c8602d34e938102f526e59aa07ef551213ba4b7b655dffda7a702","observation_id":"9c676add-f147-4015-9c32-6a21cbc3c8df","resolution":{"observed_at":"2026-05-15T02:18:31.484562Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2605.19140","last_updated":"2026-05-18T21:48:02Z","snapshot_observed_at":"2026-08-02T02:33:38.613549Z","submitted_at":"2026-05-18T21:48:02Z","title":"Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T10:07:03.605952Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2605.19140"},"observation_digest":"sha256:8b63fc543a2c170528ca776fc0d1aec961b89e690b01dbe770fc1f23c6090cd6","observation_id":"23e55c13-9ce9-4671-bf2c-f840dbd4190b","resolution":{"observed_at":"2026-05-20T10:08:12.129668Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2605.22502","last_updated":"2026-05-21T13:54:11Z","snapshot_observed_at":"2026-07-06T23:32:49.530788Z","submitted_at":"2026-05-21T13:54:11Z","title":"Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-22T06:26:31.841138Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2605.22502"},"observation_digest":"sha256:e7c511590b47f5a2830a6589355b901795cfc3e78af76f4646634a3031aef9ae","observation_id":"d1aee1d6-c5f8-4da4-9358-a73fda7111ee","resolution":{"observed_at":"2026-05-22T06:31:10.419162Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2606.22175","last_updated":"2026-06-20T18:02:59Z","snapshot_observed_at":"2026-08-06T21:50:20.619326Z","submitted_at":"2026-06-20T18:02:59Z","title":"StickyInvoc: Rethinking Task Models for High-throughput Workflows in the LLM Era","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T11:16:53.967397Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2606.22175"},"observation_digest":"sha256:a46a5c351453bbf04d2db01584d167022b125ec501db97263147446985da4211","observation_id":"3fb4b7ad-cf7d-4b40-ac8a-28e6641d504b","resolution":{"observed_at":"2026-07-04T08:39:42.053884Z","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.05451","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-07-10T02:16:42.442964Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":"cs.SE","work_id":"6b8f6f94-0b75-4613-bae7-9074a293dcdd","year":2024},"citing_paper":{"arxiv_id":"2607.08740","last_updated":"2026-07-09T17:40:46Z","snapshot_observed_at":"2026-08-02T00:22:06.208835Z","submitted_at":"2026-07-09T17:40:46Z","title":"Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-10T02:15:50.014951Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2607.08740"},"observation_digest":"sha256:64d22d88615a6d8ccc778d7efe40d7486a8c9c926157297aeffb80c052cfc33c","observation_id":"bb2c3781-2955-4aeb-9dc3-abd179dd2075","resolution":{"observed_at":"2026-07-10T02:16:42.444461Z","resolver_source":"local_arxiv","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":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-08-02T13:17:02.889003Z","title":"arXiv preprint arXiv:2411.05451 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21612","last_updated":"2026-05-23T17:06:02Z","snapshot_observed_at":"2026-08-06T07:32:33.105894Z","submitted_at":"2026-05-23T17:06:02Z","title":"Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-02T13:17:02.889003Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2607.21612"},"observation_digest":"sha256:92fbcee80978df947d67e7469257b5b6f792f9940af931e1a6093dedd2cb1862","observation_id":"78f7060f-63f8-462d-834d-c96833158dd8","resolution":{"observed_at":"2026-08-02T13:17:02.889003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05451","last_updated":"2024-11-08T09:58:02Z","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05451","snapshot_observed_at":"2026-08-06T00:31:56.329166Z","title":"Workflowllm: Enhancing workflow orchestration capability of large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01117","last_updated":"2026-08-02T09:24:08Z","snapshot_observed_at":"2026-08-06T23:25:36.295333Z","submitted_at":"2026-08-02T09:24:08Z","title":"SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:56.329166Z"},"links":{"cited_paper":"/paper/2411.05451","citing_paper":"/paper/2608.01117"},"observation_digest":"sha256:bdfd17c93d91f9abcdd291710b5c8adbcb5c992ce4598b5ef4cd35b035b583a1","observation_id":"a2029bb6-0699-46e5-a514-291b31988b8d","resolution":{"observed_at":"2026-08-06T00:31:56.329166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.05451/citation-record","integrity":"/paper/2411.05451/integrity","json":"/paper/2411.05451/citation-record.json","paper":"/paper/2411.05451"},"outbound":[],"paper":{"arxiv_id":"2411.05451","last_updated":"2024-11-08T09:58:02Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-07-06T19:47:21.547159Z","submitted_at":"2024-11-08T09:58:02Z","title":"WorkflowLLM: Enhancing Workflow Orchestration Capability of 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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.05451."}