Paper Citation Record · LEDGER

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training

As of 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2506.09433.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.09433 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:55:42.790390Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:20:55.917080Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact4
verified fuzzy9
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ed45c00-0b3e-470f-8b0b-6b1b48ec6afd · outbound

This paper cites Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.036022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a4929f-3690-4f86-a960-6ba499652381 · outbound

This paper cites Transformers as Soft Reasoners over Language.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Transformers as Soft Reasoners over Language

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.136542Z

Source-reported events for the cited work

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Observation 807422d9-58f3-4cb3-a287-3acec30ea7da · outbound

This paper cites Large language models as commonsense knowledge for large-scale task planning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Large language models as commonsense knowledge for large-scale task planning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.451036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d54675c-7808-48f6-8490-14f21a60502a · outbound

This paper cites Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.407619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3aee9da-d10f-4ff1-ab4e-d9a1559b4dc1 · outbound

This paper cites Spurious correlations in machine learning: A survey.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Spurious correlations in machine learning: A survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.618437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ffadb2a-c55b-4cb4-9910-e0de9a10bab2 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.708836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ddc70d2-f597-4535-8ed5-35830d61d33b · outbound

This paper cites Diab, and Bernhard Sch \"o lkopf.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Diab, and Bernhard Sch \"o lkopf

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.440254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86859aa8-13cf-49d4-a799-25a51dcb978b · outbound

This paper cites A Causal View of Entity Bias in (Large) Language Models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training A Causal View of Entity Bias in (Large) Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.849980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d27c738-9f60-47d1-b289-4bb920464350 · outbound

This paper cites Entity-Based Knowledge Conflicts in Question Answering.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Entity-Based Knowledge Conflicts in Question Answering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.935911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2841933c-a075-4f8b-b189-db491acfe206 · outbound

This paper cites Counterfactual inference for text classification debiasing.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Counterfactual inference for text classification debiasing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.429435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3cb2b9e3-da2c-437e-83de-2ed5534c3b30 · outbound

This paper cites Cladder: Assessing causal reasoning in language models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Cladder: Assessing causal reasoning in language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.418177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36030903-62ee-480d-a24d-521272b167a5 · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.284502Z

Source-reported events for the cited work

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Observation e6526ad7-8cd4-4085-bca8-4551edfd4cbf · outbound

This paper cites Efficient Tool Use with Chain-of-Abstraction Reasoning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Efficient Tool Use with Chain-of-Abstraction Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.330182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d489eb0-fb50-44c5-9e6e-e69a11401232 · outbound

This paper cites Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:43.142860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3ace923-f2a8-439a-94cd-c43743a5198e · outbound

This paper cites Causal inference by using invariant prediction: identification and confidence intervals.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Causal inference by using invariant prediction: identification and confidence intervals

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.462885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a8b6f8-1c09-42d8-822f-ccf354594623 · outbound

This paper cites Invariant Risk Minimization.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Invariant Risk Minimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.531110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf52f8ac-9cc2-4a04-a76d-2332837ba695 · outbound

This paper cites Language models are greedy reasoners: A systematic formal analysis of chain-of-thought.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Language models are greedy reasoners: A systematic formal analysis of chain-of-thought

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.398470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 746c1e53-87ef-4f18-83da-dba0d8894513 · outbound

This paper cites Improving language understanding by generative pre-training.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Improving language understanding by generative pre-training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.670887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3184c190-975f-4838-98f5-45952dfdb584 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training LLaMA: Open and Efficient Foundation Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.704512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b644b313-1b43-4690-81df-4fd988099415 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.707916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea55586-cf92-4758-92bb-a9e938a6d3cd · outbound

This paper cites Qwen2.5 Technical Report.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Qwen2.5 Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.711641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a4ab4b-2784-47b6-b19f-bc9daac3b89e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Training Verifiers to Solve Math Word Problems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.714622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9429981a-8f4f-45a3-b996-ecfc2fb4a61b · outbound

This paper cites Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.718143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a511f378-6952-4b88-a4ad-6700f82c7933 · outbound

This paper cites Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.721339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38d03dc-c81f-469f-8e8d-06e1f110b0b2 · outbound

This paper cites Annotation Inconsistency and Entity Bias in MultiWOZ.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Annotation Inconsistency and Entity Bias in MultiWOZ

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.724577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08626ab-b9dc-46a6-95be-0db309399855 · outbound

This paper cites Scaling Laws for Neural Language Models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Scaling Laws for Neural Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.727261Z

Source-reported events for the cited work

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Observation 413ea2db-7e24-49a9-a394-2dcd1d65f9a6 · outbound

This paper cites Scaling laws of synthetic data for language models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Scaling laws of synthetic data for language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.730487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b4b161-032e-41cf-bcc1-dafd47853b90 · outbound

This paper cites Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.733135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507ec57b-0930-4689-99bf-3cef7966b4b1 · outbound

This paper cites Causal inference in statistics: A primer.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Causal inference in statistics: A primer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.736113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24c5e6d-7751-4a42-8855-172f87fee381 · outbound

This paper cites Bias and fairness in large language models: A survey.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Bias and fairness in large language models: A survey

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.371814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6cab5e95-c8b7-4a4c-9032-452273fe4661 · outbound

This paper cites Some philosophical problems from the standpoint of artificial intelligence.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Some philosophical problems from the standpoint of artificial intelligence

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.360123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d5573e3-924f-47ca-9236-5a33c2842747 · outbound

This paper cites Inductive logic programming.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Inductive logic programming

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.349242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a84bb19-2fb6-4943-b0ec-3a1ed6a17a32 · outbound

This paper cites Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:42.921278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c29186a1-27e2-462b-a324-8892bdcc0edc · outbound

This paper cites Generating Natural Language Proofs with Verifier-Guided Search.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Generating Natural Language Proofs with Verifier-Guided Search

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:42.906986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9702fdb7-329d-4636-999e-041da5718753 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Chain-of-thought prompting elicits reasoning in large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.754631Z

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Observation b2fc6966-f48e-46a7-ac13-5f3a7581ce2b · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.757389Z

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Observation 67619092-df70-44c0-b895-3063f98c542f · outbound

This paper cites Datasets for Large Language Models: A Comprehensive Survey.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Datasets for Large Language Models: A Comprehensive Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.760418Z

Source-reported events for the cited work

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Observation 36423451-de26-45d6-a1c1-f0747dee2e8a · outbound

This paper cites Do LLMs Have the Generalization Ability in Conducting Causal Inference?.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Do LLMs Have the Generalization Ability in Conducting Causal Inference?

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:42.874103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ce8841c-397f-47c6-a2a6-2b2c828ef852 · outbound

This paper cites Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Causal Parrots: Large Language Models May Talk Causality But Are Not Causal

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.766358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a5c81be-8912-44ee-a373-64bd4adc89a8 · outbound

This paper cites The book of why: the new science of cause and effect.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training The book of why: the new science of cause and effect

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.769427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b4a0133-1c26-4383-82a0-f85bcfb27b57 · outbound

This paper cites Zin: When and how to learn invariance without environment partition? Advances in Neural Information Processing Systems, 35: 0 24529--24542, 2022.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Zin: When and how to learn invariance without environment partition? Advances in Neural Information Processing Systems, 35: 0 24529--24542, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:43.322907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2550a337-a156-4cbd-addc-274a48e6c69a · outbound

This paper cites GPT-4 Technical Report.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training GPT-4 Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.775512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a374efc8-3b1d-4231-b541-cb205caf8b02 · outbound

This paper cites ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.778568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625eeb89-d441-417a-a1a8-add8febd28ee · outbound

This paper cites FOLIO: Natural Language Reasoning with First-Order Logic.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training FOLIO: Natural Language Reasoning with First-Order Logic

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.781612Z

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Observation e961a336-f6d8-43ee-8df1-8ef5f66990f8 · outbound

This paper cites On the Paradox of Learning to Reason from Data.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training On the Paradox of Learning to Reason from Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.784696Z

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Observation 5ba9b4fa-45ab-494f-987f-b000b0333f67 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Pytorch: An imperative style, high-performance deep learning library

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.787497Z

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Observation 23b7b8bd-9230-4857-94f0-b75a365519c7 · outbound

This paper cites Scikit-learn: Machine learning in python.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Scikit-learn: Machine learning in python

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.790390Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation bc9ca300-234b-4505-ab4d-b5be327efc7c · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T10:20:55.917080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.