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Paper Citation Record · LEDGER

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention

As of 10 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 2026-08-09T06:31:02.800959+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=sha256:6ada2579e1355975981cf70efb73143723e9724c6affb7d7b9e5adf37640ec0f

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=sha256:1db50531e42e200b48289a0d8601310383f5214b35968514aa7cf4bf7413d042

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:34.373833Z digest=sha256:ab71e36891eb6fc259b5349d748d79b5bccedf6424d78e32e7bce3ccf2d4fd8f

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:b1cfd7a98d99f1a233a5f57b8d2579347412a767049f2f047c141daef69902fc

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=sha256:34317e696de5abd69d76c8091850379362a0344ab19efc571cf2f02b5203beed

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:bf15014cb8a1878d425dd490c84c12686b67370fe6a015de224a66ebc9834dd9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:34.925198Z digest=sha256:3292f4f2e2f2c258073f47a4eb2fa600b62c2d404fa6e9068508a366c57e65b3

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=sha256:3825816317ff68d3b05bdcdaacfcf48d471214d86fcb345d1eb848f78ae4c876

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=sha256:6fbe409efe559115230de0f427e1b2ef53b6d50331d378959b0952b60aa77ef6

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:e19aa0022149571f83f7acbdd08576432f4aba6f3ea7005c178359ddae18d370

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=sha256:0ffa1a5c60bd641d6a87ee1180fdb5c449c01f01259aa747ff212dade9b6e134

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=sha256:1e127082380a05df34e4d76dae08af0c07866c2642f0e406dc8e2b721d9d4d94

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=sha256:84c70d0bb9cb23be8aa88910197a97fd1f2102b33e7ccd613a50c728afce5c85

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:a4e451514dc69af40e65da8f18e91426fc6c2f0c7438a91e58fffa92f0c47bf6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:35.874079Z digest=sha256:d0956a1484829588aab72110f07bf362f123b9a38cf0daa5c784434a74f6eb67

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=sha256:46f9a29c98f07805827131f02f9c8ad08c70aa76d1682c6511be88433cd0ee39

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:ddaa73bb737563a65a405cdb9ee8f67d45e43700aa891ec449de60fa457aabdd

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=sha256:6c0efe0b0c90f849d6a65fed6d7a68d44435cc7783930f4cd1dd9f0427e845bc

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:ae7829f7dc4f345ccaaaacebbdb51049d0bbd57bae7e47a288a3a72d96a2a197

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=sha256:296d3f0994bf63d1363a8ccecd9ef8c47130e554e60acf64628520db63379fb4

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=sha256:8556532e0e6db43f311b168f1117484f9525ce331bf079e2b00385a9334d0f5b

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=sha256:04a25f0743bb1e18ee9aa3e8d68584a10e12aeba9b04b48f6a9b0a338f242ca4

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:b8edaf2c5f8b97b6d894d6e175232d3d3bfcfa318e9f718084bbd5ae1729996d

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=sha256:960b16f001739deae68e672f14b892d580ad879357dc343a724f76a608f90cc0

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=sha256:899a2c7133c05fe70cdbb3495d5c767d4ee546171bbc6ed525f07efa8cb7ca22

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=sha256:15670bc7bf0616407380869f81621627acb177737c41e66c1c3c0354130e09b1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:37.514449Z digest=sha256:76d23b372fbf27c57a6c048b34c9254e0ee8198e23964a4d662db1f1b76aa578

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=sha256:3cca30795735d2a35cc96aed2ef460f81eb0177ff909dde653c0a8e1730a46e1

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=sha256:0c360a19edf44b23fff5d130e176b3c1f40836bdf81321a536b600c880503c1d

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=sha256:813cd79fe98321e2343282e90d7168c8b9e908b88cced11753fce7a17eae9d4d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.044837Z digest=sha256:584f7a52267c2d43f383b1e7c81a26eb49a0c68df21cbee8e6361b61728dcaac

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=sha256:356780f097d10e12756f7957c785ded53831130fe402c93ad84d0733c9004b55

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.384532Z digest=sha256:54af3f0a1b88a9c894dacf97d8d46a8a2fa800acff0cddb4b7fd8b0174052136

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=sha256:1e8aa65f5f39ed2d80c53306970f8efe4cd46361c1c74be3ac2302bbe6354698

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=sha256:54124677836630d7bb8832da251976f74f4e100571fe65c7647333e8a2328616

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:c37a53a68cdd8a6ddb5a81787bb516e077f0802fc81f50331b7959ebb8d9dc8c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:38.911006Z digest=sha256:1d0de5da4c1f8186fa6adb35aa1f96779aa7079c0fd70a10db934f25b05a8bb8

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=sha256:49c9c6728a8f4e36c0be75ed2eb74c673914d44a97cece8f4ef4a2a6741cfbfb

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=sha256:3a008cbb32cf9868955483b0eaff0bf7ce84ba9527975fa577c8ea2235990540

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.250159Z digest=sha256:e0d775c7dd3ceeac0ffc97e740c8f1d7837b10b4f58c0e92c7d539ff9385ce47

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.317749Z digest=sha256:8d00cb92b4e95e4eadd688cf510613ef5231f0d1db173e147fa9a533c9ed05fb

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:d8dea47de2aa2197fbe0aefe8533e21fd9f077b8d6e8b58a4c44be6d64f7a14b

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:e05f886471b599a10c48bcb0675cf374fb416d7e545a54347c2964ee7981a7fd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:08:39.619736Z digest=sha256:bd484211f863dfed9cd6feadd8dbfeb03d9f617214cbf47b6afd53bd36000533

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:e9d9c7dbc71e6666da4fd6b1f74ac1141067f0c27e9da31fabc4e793ddc1ee14

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:bc0594d228249b6b007c8ee8364e5cc34fec25df4b76ae343b0e6eaff8bd7c2a

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=sha256:554bf37b05b4ccf81550f4463c8d40e78c70b72b67e94440d1e33c2d4780fb51

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:e6c101c03bff3b2c6c174c823e079bc40c7a7a3584bf1509aa401e4c7774e775

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=sha256:0100dfad0b1f8d9ee4ea797b15a7456a22c1d751c85f5ba7bc8f366be744d3b8

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:d46af4911e2dfdbe6896994f5b1f6cf39b3e1f7625beb6f64d6a90a995558564

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:f5a1ac2a0269caa1e5558cd38ccd38a50c547bf12eb4e43c1a1ec6134180e217

Pith citing papers

No inbound Pith citation observations are available.