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Paper Citation Record · LEDGER

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:80c3ad48c89adb975ed1e2198756d97aa9751b9ed6372f566b5559f137d3af24

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=sha256:94c5452a1fa40d16e9c3190899878ad3caad2d180c7b7259dea6023e9cb28054

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:34.373833Z digest=sha256:dc93b59a40fc6964bb90d88fd4fd2b69b5f413481bd22a3564feeca8fe39534f

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=sha256:22c64fda23f313fd5a47f4275dfe075a4ca5765609c29cd2eec0e660acb4076c

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=sha256:9ca2562118424e38e1e6837092368013bacc4b7f2bbb8ce4685125f15479c8b4

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:cbf94328438ee183399c4fdd9172d2d9343f2ec47ee0cc4858689471d331ba10

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:34.925198Z digest=sha256:075168330d2d96fbd4b0e1ade226dbf40b425687b5cf100e50f5772fadf3171f

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=sha256:0335becc26d4c990336e06a2abbf1f5aa3c525b673a05d13ff99970d1be62bbc

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:ddecfb0f9578687228c63e4502dd0a042f84c9ec39c4eb82e762b7171adbdab7

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=sha256:4b81907d7a545d44190726a4279ba8b32f57c9b605d8601394661014ab32c9ba

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=sha256:8e550e2a4b8f3ca268a0794c196ca574ff930248b3894c8b3061056df872bd83

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:c1d8c314409a621be4941187a8d6f3973ee4f16411425a21e050eb51de70a2c3

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=sha256:108bddfedca8b7860d526b0294d5a2284d9e005adb46eb8713c87d41a0d61bb4

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:bc373a94a7aac5c702aaf8fca3d87d708043b5702a7db4bc5b03edb90793cf62

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:35.874079Z digest=sha256:db928b749a1cc2a8a2d2dc746649eb2921c94dd19a61f21d7b52befc9a249167

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=sha256:080dd114d3b5382ba3c71f891b46d657b2a6bacd635d76124cc9fd4563abd969

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=sha256:23f5c87e70a5a0c4e34eec6707a1fc072f0b2aa2a6b4a1981b1e28d70664890e

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=sha256:99d6a88949f2f774f8466f5de5ebe3c598f18b137bec9ede6a26640f415e482c

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=sha256:696a16e1c6404c5bf079d08bb38c40579f8d3f00e2d324f211a527ab578cb113

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=sha256:704c71578be7ae57034b233d62cc7eb93f9b521c3f5f92cd15f1edb55655fcfe

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:b444ca94c587f25b52096882cb65d1a63bc2e82ae1fb351c20d48764f2a77c44

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=sha256:47e39f655f4d2e56179f8cc37caac1f5526e2fb585bb6c58e171e82312c23709

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=sha256:60c2861b0ce2b8eee668fe9982d190fabfd925bd10159eefbf8b200c3dfaa1f1

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=sha256:819878d83941d606ed317facb28a66a0c77b6a98f895d3bffb9608b55863af52

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=sha256:60459d1828e08750a9631ff9a8a72aefbb59628c1244616bc1ce22e4b05272ea

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=sha256:21c446d28d8b95bb943eba45899445095d8495ac495f87d5eababa2b59bfe07e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:37.514449Z digest=sha256:4a536bbb9640f98d6176623f62b16729861cc4b329b07839753880df317b7bc4

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=sha256:9afd9332cbc4fe5a6e5844266c00338d3d2b912f0a688f25e16ca75ce6d78187

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:e3c26f592417629e85fd877ac83cc06e51a6419dc3fa0ebc6109ac78abda4ee3

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:d8da33aa4ca968b615c293207295d9806fa2f82ba879ee3fbdccf834025b9161

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.044837Z digest=sha256:5ec4c9679db75b401e6087a337d1811b07fc0d6b19d4670cdaf5a711eacc9b04

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:dac3e22b4980d21f5f21b755f3195b4494a14c769c952cd7a6ca9de22929aa1f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.384532Z digest=sha256:58adf9a84ac9832488c46b98092abfee49ebd186535993b5ef664c1fbbe8777e

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=sha256:20380866c993c0f9fa66cefa260f4ee4329fae8775f3be919a070a0b44d69f96

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:b7c5629c2e57f34409a6c12712a38dde8e6bc61f356a6d1d9ea56ad23a17d4f8

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:38.800152Z digest=sha256:c7aaa4b0000cb7112ffa619201130b9f88c6d7ab07fbd7f4561854578456374c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.911006Z digest=sha256:085ea6ea91cffbff5edd6e110423e5bf31e2b7455ab5f5497f8e66c759570cf3

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

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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=sha256:09ea7e5b65d448f807f3988cc5b9e828681f075c2d72220731937ca398650355

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:d79bdbec07e8c86f1f9064bd3669e489d15b57acd78dfb33dd43f9893611c39c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.250159Z digest=sha256:ba845f26f7ac8d270daaa447b1c5f2c5f497066f0708cbf3343c0e0b99764f3d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.317749Z digest=sha256:8aabaded80e7bf251e67f40aa39aeba780e48cf83659c76d79114796529d104a

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:e62dd6d978db2527d44a010caa542591c86d289ccaf68b801bb294e7ac5840f1

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:bfecf3fc54e49184803d1316677e31d14a5014d90bcfc6814080c7f1bb9c41f2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.619736Z digest=sha256:e4914e1eddf3a1a51ec151f943cf62abc65a5bac989fdf8f1fa29979b5359feb

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:d3cdbb5aca1fd6a3d7ba74315d566c29ff2056773bcf82725fb7cac87cf964cc

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:db337aca5abd82ed8791a929a2b72416d51e08114a14e60b08f8ff699742e702

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:a80e91018523cbdbca688b1f765bd2026d57b2877772b43f90ede6827b004822

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:dac64907a2a54e3a398b7a37c4fd4bacc6639afa8c3fbb63eca03edb5c8b8cc3

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=sha256:9987134e16766cae75757377d63a2201ce59767e0cd84739923cfa51a0329662

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=sha256:32c5185fd19e82adc65a8bad3fae2a2bbe4da1e848beab2d5ab6e2f8f2c598be

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

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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=sha256:1d4b576c3673889e529187e4fae5554e55600dd20a88a6e1e5638bf91e39c28d

Pith citing papers

No inbound Pith citation observations are available.