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Paper Citation Record · LEDGER

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.00519.

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

pith.paper-citation-record.v1
2506.00519 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:40.488715Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe42e0ab-fa5b-4aee-a93f-2836e1fe7c69 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-07T12:08:34.094316Z digest=sha256:b6a94f911f65eccfbcbfaa7037c33c44c8957685a779b23c7f67be4b7f20a360

Observation f9091dee-40bd-47e5-9290-b5763c820884 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 2

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source=arxiv_source observed=2026-08-07T12:08:34.216490Z digest=sha256:b1ae8a97af3c8720142a708f687a3194e404d08e6db7896db093dccabceb6c69

Observation b8efce80-85c0-476d-be6f-6a423e590220 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-07T12:08:34.373833Z digest=sha256:e313f22c2b4f02932cdf1e41953b5fe2293a34f97c78ebd385d2c16e8d910604

Observation 252cc8a8-c393-48a0-969c-8308d6c9b4d8 · outbound

This paper cites Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 4

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source=arxiv_source observed=2026-08-07T12:08:34.522580Z digest=sha256:b3a6bfeace1ec48a43934a1d635e86ac95a385da85e6f70ed4a557692449309b

Observation e7def4ed-ad3a-4d4d-a693-deb9126177b3 · outbound

This paper cites Understanding Back-Translation at Scale.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Understanding Back-Translation at Scale

Reference 5

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source=arxiv_source observed=2026-08-07T12:08:34.619959Z digest=sha256:cec05fdc19d541f98594525e8e293f8c98da8988af5730fe0ac0c15115f2f4b5

Observation 3472e7fd-5838-46f2-bd09-0787207b702a · outbound

This paper cites Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models

Reference 6

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source=arxiv_source observed=2026-08-07T12:08:34.742374Z digest=sha256:d5cd1312824a82be89e107b091678511867d0870aba1d1a943832f37e847b90c

Observation 83098c93-e937-4841-a9c7-7573d71f2d69 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 7

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doi, observed 2026-08-07T12:08:40.870363Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:34.925198Z digest=sha256:b065c7f223693c7272f903795fda5a973cd8c16953cb204c646cd799d13e2830

Observation 75ff0598-a823-4546-85f4-50f0748b693e · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-07T12:08:35.078434Z digest=sha256:97f753273c25d3e16254597eb9a5e8b40003dc374bbdcb85cc8ced5559083b02

Observation 89c6de1e-d538-4d2d-b9f4-0310501c3cd7 · outbound

This paper cites Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 9

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source=arxiv_source observed=2026-08-07T12:08:35.212245Z digest=sha256:feef61fb7229afc3ebdc80912573ad14974c006a5aff6e4c08da559bb6cc39c0

Observation b4f4173c-db5e-494c-a2bc-0aec90d9b397 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-07T12:08:35.290881Z digest=sha256:0b00ae7ea2e70e146e14c5d18b46f9a7debad306e844a4cc55fadc6b40800820

Observation 42d003b7-f8a9-4042-b481-648ed01bcea5 · outbound

This paper cites LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model

Reference 11

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source=arxiv_source observed=2026-08-07T12:08:35.380147Z digest=sha256:a4d3607ed40a0209e2fb30778ea5e54c590fc82e95318538712e43dc95765975

Observation 6f3aee98-d16e-43e2-a87c-8018c4d9bd67 · outbound

This paper cites CLadder: Assessing Causal Reasoning in Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention CLadder: Assessing Causal Reasoning in Language Models

Reference 12

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source=arxiv_source observed=2026-08-07T12:08:35.496590Z digest=sha256:86fe7421d4ae22e00ee87d81644efc5751e624c5577a9a5559345fb87eba2219

Observation 8c9ec7cc-d665-4e11-8344-b9bd5a9a645c · outbound

This paper cites Can Large Language Models Infer Causation from Correlation?.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Can Large Language Models Infer Causation from Correlation?

Reference 13

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source=arxiv_source observed=2026-08-07T12:08:35.648776Z digest=sha256:e73cd8d7159a1ad548b18aee0a16ca802ab4435bc7ce5ca595d29e0590ad619f

Observation b0162685-3f4a-4406-abb2-51e0f4a5ed34 · outbound

This paper cites Language Models (Mostly) Know What They Know.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Language Models (Mostly) Know What They Know

Reference 14

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source=arxiv_source observed=2026-08-07T12:08:35.717937Z digest=sha256:385be224cccc629feaf5b82dac2bbbf3d6a03d73dea01b9f134317b73fc60465

Observation 416a8080-662d-4166-a9ae-ee44ed296ffc · outbound

This paper cites Comparing Hallucination Detection Metrics for Multilingual Generation.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Comparing Hallucination Detection Metrics for Multilingual Generation

Reference 15

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source=arxiv_source observed=2026-08-07T12:08:35.874079Z digest=sha256:320a29b156f73f741c45f1c63399c818f5cadf3da5b1d6268ebc591ff99598c7

Observation ef8aa57d-8de7-400f-af7d-4c11ac658316 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 16

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source=arxiv_source observed=2026-08-07T12:08:36.034247Z digest=sha256:1f636c59970ca6049dd573d1a7f59f7c540a0ba62fc453c1bcd5f90cc83c3b37

Observation 54592258-862b-4b95-b2e7-31c8b7a384aa · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-07T12:08:36.196646Z digest=sha256:babe52cd479692204eaf6ac1c5fb2456dadd0732bc97ebae1d65352e58788c62

Observation 975f6d1a-6772-4d8f-b832-867f0241549b · outbound

This paper cites ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Reference 18

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source=arxiv_source observed=2026-08-07T12:08:36.337710Z digest=sha256:76c201ac2a8a2c32265cb50ee57f43af7654f09966efedd12d54cf6f55631570

Observation fe79e325-7e55-4539-b120-e1ad3e1a14b9 · outbound

This paper cites Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

Reference 19

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source=arxiv_source observed=2026-08-07T12:08:36.518758Z digest=sha256:276129d80354bb57f9220091b8f5df0cff8fac0d4e870fc05886439b94cf6ba8

Observation 1c34290c-345f-4f94-b540-923d624c50cc · outbound

This paper cites CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision

Reference 20

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source=arxiv_source observed=2026-08-07T12:08:36.656685Z digest=sha256:f494a61811407dbff39771e7ceb834174c1d4b9346762971adfeaf1ea44dd6ba

Observation 9f2f18d0-7d72-4c24-adf4-99916826e299 · outbound

This paper cites Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, and Lori Levin.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, and Lori Levin

Reference 21

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source=arxiv_source observed=2026-08-07T12:08:36.771413Z digest=sha256:a957bef2857883ee7eaab70b13d982ddabe0cdb38bb1b1ad4da33098e654392a

Observation bb84e9a1-545e-46b5-a810-f55324a4d361 · outbound

This paper cites Large Language Models and Causal Inference in Collaboration: A Survey.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Large Language Models and Causal Inference in Collaboration: A Survey

Reference 22

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source=arxiv_source observed=2026-08-07T12:08:36.886352Z digest=sha256:10707381bc1be3344aa299824d67964816975126fb892e51a2905a1d62cee954

Observation c94337df-f91b-41f6-a772-ca7e18ecbeb0 · outbound

This paper cites LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses

Reference 23

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source=arxiv_source observed=2026-08-07T12:08:36.971780Z digest=sha256:ae4d8a6a533a6e70aa38e7d6f0cb27da752598e76f0b6c461826ae3af8a2d0cb

Observation ddee5a53-226a-47fc-9163-449121d25e26 · outbound

This paper cites Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models

Reference 24

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source=arxiv_source observed=2026-08-07T12:08:37.100267Z digest=sha256:e181f971dde29b95af3c9a50f5a100fcc0b04f5a50ee5546fa1b27109bd11358

Observation aa6f0717-f764-402f-8347-73691611d01f · outbound

This paper cites Fine-grained Hallucination Detection and Editing for Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Fine-grained Hallucination Detection and Editing for Language Models

Reference 25

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source=arxiv_source observed=2026-08-07T12:08:37.209376Z digest=sha256:d732883c9c4e15b5ca36b67d113a645b03a162752230998eba584b1cf242223b

Observation 8e30582a-39f1-4b7a-92a5-3907ccccbc76 · outbound

This paper cites GPT-4 Technical Report.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention GPT-4 Technical Report

Reference 26

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source=arxiv_source observed=2026-08-07T12:08:37.360835Z digest=sha256:e2e9da2a7777e774821bf48d7ebc18a74210782012db4ee76fcac082fc713fb8

Observation 4751f731-b915-4f45-8373-df66ae3b2457 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:37.514449Z digest=sha256:eba71d124327eb9e4584611187c3249b978a797eb42e80c1ccf457cf97670b2e

Observation 823ab4cf-7cc3-485e-b358-6608a3f15843 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-07T12:08:37.626201Z digest=sha256:85c3c5a003aa1616d739503058669b733022bbdc9e106fcb4fa5039a88fd3a00

Observation c7b37bcd-35ed-4497-86ed-50f28b3b5e3f · outbound

This paper cites A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications

Reference 29

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source=arxiv_source observed=2026-08-07T12:08:37.697973Z digest=sha256:0c6919a7b7d563e55d8254f86b646692b58d7def812b5ff9f4471420f7231599

Observation 064ccb46-6d68-40ec-a988-f5263bf664ac · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Language Models are Multilingual Chain-of-Thought Reasoners

Reference 30

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source=arxiv_source observed=2026-08-07T12:08:37.877599Z digest=sha256:b3016e8c7fe6b2b7f1cc3115c4940b0c7e21a4b30fc2c69745360c4fee5477f0

Observation f81dbb52-158b-49ba-b7e5-f1e60974eda6 · outbound

This paper cites Getting MoRE out of Mixture of Language Model Reasoning Experts.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Getting MoRE out of Mixture of Language Model Reasoning Experts

Reference 31

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local_arxiv, observed 2026-08-07T12:08:41.397336Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.044837Z digest=sha256:6a962302cf01d362df8f4607c13f0861736287d12b3b81930070044b94b341fc

Observation ff2985ae-2edc-41ff-90ae-f56ca9d8a506 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-07T12:08:38.260865Z digest=sha256:596267a0ce2e599822875efcd6d22b6a7982743ce1da057acf064e00d417956a

Observation 74129968-0b7d-4199-86d5-aca6780dfc81 · outbound

This paper cites Mortensen.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Mortensen

Reference 33

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doi, observed 2026-08-07T12:08:40.666776Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.384532Z digest=sha256:66fb57c515882fb5738584b426cec722cdc4564ea32268e972de0b2384626f69

Observation c5d503b8-182b-4f63-9bed-ba7f3c6fcaa4 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-07T12:08:38.526131Z digest=sha256:ed73955aafc2205dc2858a128ebe75f09598c56723be41a2fd404dfd2c5102f5

Observation 3abbda89-5266-4ae0-b7d6-af268250ea48 · outbound

This paper cites Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA

Reference 35

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source=arxiv_source observed=2026-08-07T12:08:38.671704Z digest=sha256:ba11bfd066d6eb3bf844b2998cb02f950d374109f6ed47e400c07c982b497f4b

Observation 7a0dbf5e-04b0-40c6-b5b1-6b8e14ca4ccb · outbound

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

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 36

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source=arxiv_source observed=2026-08-07T12:08:38.800152Z digest=sha256:4950465c3ad7e03326808274858c68ebe50658bb456d689760f4f8084b96f613

Observation 25b58668-0928-4977-a9b5-9f2fd9a36996 · outbound

This paper cites COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:08:41.125415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.911006Z digest=sha256:1c070a46faff7bdf32cf42066c590c6307613ab2fa4f131d8275c60fe0eb6908

Observation 6c55a250-fb4f-421d-ad09-82dfb08273a7 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.018569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.018569Z digest=sha256:bb0d29accde05cf06cf72dc967a6ba81cae31e49de39336c7be1a4d99ec7af5b

Observation f9ccaf4f-f604-4fdf-a22a-4d1b628e8d9f · outbound

This paper cites Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.145736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.145736Z digest=sha256:32a7097c5a2d45044f43ff6c0e7a36fea4d5f003b9461fb3062ba3556b3fc3fb

Observation 2739ad72-d65c-4af3-929f-a820d460d304 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:08:42.723879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.250159Z digest=sha256:5baa4a513bcc2e81db9ddfca725d82df612bdfbb08746354eb3c564f76caf637

Observation d376e2d6-adee-4cb6-bcf8-a493c3f597c8 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:08:42.522882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.317749Z digest=sha256:9b2fbd19cc5bec456f86f941353ca5bcdcc6214c3e6624cfe97c3e17a380ccf6

Observation 60424d8b-c3d9-46d7-ac69-8b3cb0a4924b · outbound

This paper cites Alignment for Honesty.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Alignment for Honesty

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.427843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.427843Z digest=sha256:5b50a10357d65ab2e8c2a7831a0f7cc141750e3dd2ca00936ffc0f398cdfa015

Observation f47e1112-4a58-48e2-a977-d74ce20440d7 · outbound

This paper cites KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.494783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.494783Z digest=sha256:c143987f538a5b41cd27238c959df95561189abba89d2e2e083511192c4bba78

Observation c951cb3c-db98-4780-97e6-67923d0797a1 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:08:42.226004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.619736Z digest=sha256:7fe5e2779725a73ac3f182e3b5d6d8984902cf8d9cff75bc484438d0156d56a1

Observation 3d94d7c2-a8d8-4db9-9a88-6ade3105ac3a · outbound

This paper cites The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.720854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.720854Z digest=sha256:bcbdf98e9efecc8872d2891202e5db06b3a3a875c908ed4caedf8a1aca7cabd3

Observation 5d324545-81d0-4455-a6c9-6c15af9d4f68 · outbound

This paper cites an unresolved cited work.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.809232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.809232Z digest=sha256:a971455867e3a4a4702e902e38cff8414e71141089cd85345031523e9a5e7e7e

Observation 569b910f-1d93-44b4-9642-ad50771657d6 · outbound

This paper cites Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:39.915622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:39.915622Z digest=sha256:0ed7926a984238ee07484083618440181e5b3cfa74741eba06b0595478bffbeb

Observation 1d9534ec-e192-4284-833e-5b1dad4754d1 · outbound

This paper cites Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:40.046274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:40.046274Z digest=sha256:aad39963dd9f8ae0d8666062d7113d512e8a0e98582c45909cf48186721127ae

Observation a67835a9-ec3e-43ae-8b8e-adb283d06fbb · outbound

This paper cites Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:40.291059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:40.291059Z digest=sha256:a1a2ed23e74061c328721c988313bfaee9be812ab9cf14a825c82d5f0e14412b

Observation 038f348b-37c7-441f-b8ba-028f85366c2f · outbound

This paper cites online" 'onlinestring :=.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention online" 'onlinestring :=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:40.404130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:40.404130Z digest=sha256:ea75ed17a45a7f263d480a7e7b11d2d7d17051b2ee054085f78cbdd1674ddccf

Observation ee8e6efe-a87f-4a9b-8789-3c0c2c5d89c5 · outbound

This paper cites write newline.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention write newline

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:40.488715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:40.488715Z digest=sha256:023c827c6bc47e29a6f3f073ea1a5508fc3e973e738504ed15bfcf30593adebb

Pith citing papers

No inbound Pith citation observations are available.