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Paper Citation Record · LEDGER

LLMs can be easily Confused by Instructional Distractions

As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 5 inbound Pith citation observations for arXiv:2502.04362.

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

pith.paper-citation-record.v1
2502.04362 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:50:12.562956Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:21.440027Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:10:59.646665Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5321d1f0-b718-43c9-9449-a56be0d54f13 · outbound

This paper cites LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.

LLMs can be easily Confused by Instructional Distractions LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.136791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.136791Z digest=sha256:8b11514f16b0ccab14ad7a79f480ba778e8fbd39978010e4dfb0afb3a12d7de7

Observation b0a17df6-9739-47f8-953e-42197bd1585e · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.256577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.164175Z digest=sha256:e14ca714511295baae22dff3b8ce5c80cde29d7afd8065ad2cadb82fe721433c

Observation 26ee394d-b57d-4e9a-b395-e1fda05386b9 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

LLMs can be easily Confused by Instructional Distractions Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 3

Resolution
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no resolver link, observed 2026-08-09T10:50:12.200660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.200660Z digest=sha256:97b127eae83b3b8ac903a6f5c72f46e65b30b8964ef24e5a148ddccc593f2578

Observation 53337b58-d4da-4265-88ed-f97900968c75 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LLMs can be easily Confused by Instructional Distractions Training Verifiers to Solve Math Word Problems

Reference 4

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unresolved
no resolver link, observed 2026-08-09T10:50:12.230419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.230419Z digest=sha256:2704c5aa538a018ff5723a51cbf909018d8f5e0d632b7d5cbebd610cb2beb077

Observation 25cb8e3c-9f4c-449b-947a-3b8c0b175f84 · outbound

This paper cites The Llama 3 Herd of Models.

LLMs can be easily Confused by Instructional Distractions The Llama 3 Herd of Models

Reference 5

Resolution
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no resolver link, observed 2026-08-09T10:50:12.263761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.263761Z digest=sha256:529da9bd7cfa687e59a15228f1b4d5212cd85085d36259f0212eab9bf80ab608

Observation d67fa47e-ff45-4e3b-b306-ec4fde3508d8 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.280120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.280120Z digest=sha256:2cb18e243b0fd62d5526f1a4d5f489049005576a2de8a88c6dfc20be70a4e7b6

Observation c99e0fc0-b269-4dfb-8fdc-3ad90aaca096 · outbound

This paper cites Better Synthetic Data by Retrieving and Transforming Existing Datasets.

LLMs can be easily Confused by Instructional Distractions Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 7

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no resolver link, observed 2026-08-09T10:50:12.296887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.296887Z digest=sha256:331417ebf7fe2d2e45ff0914f2ac0690cf7ce00d43e8162e63f7973de680ea80

Observation 3e3f493f-bbac-4a1a-b886-5270caff5ff1 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.301391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.301391Z digest=sha256:065624424651f83d0086a6bdeb71c9e98c84ffebd9871fcea77efc8d3733c200

Observation 35b137cf-27a8-46c2-85bd-2a480c05b817 · outbound

This paper cites Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.

LLMs can be easily Confused by Instructional Distractions Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Reference 9

Resolution
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no resolver link, observed 2026-08-09T10:50:12.304883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.304883Z digest=sha256:a997a8eea6baeca27e3728b28054bf63dec4e6e5bea42f75c2165f04adb58c69

Observation cd0b2215-6416-4356-bb7a-617c9dad8c06 · outbound

This paper cites From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.

LLMs can be easily Confused by Instructional Distractions From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models

Reference 10

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no resolver link, observed 2026-08-09T10:50:12.308797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.308797Z digest=sha256:f423bf90ee8b3a1e3e8cd3053c3b7997689d3f00530b5a0ac67862dfee4ec0f7

Observation 0dea548c-bda4-4ad6-b387-c6f5739e7503 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.230683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.312935Z digest=sha256:31fd426169836d06cc1b27a35f94313dbce46e842beb76ee85a189b4811bf40f

Observation 45df813b-c0e9-4aab-b41b-c912b4a64524 · outbound

This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

LLMs can be easily Confused by Instructional Distractions AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 12

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unresolved
no resolver link, observed 2026-08-09T10:50:12.316640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.316640Z digest=sha256:f11e6c48d4d2ec9f2ca7263a42bef7b7b45f38c46f5ab4e9ec9f618c13f7461f

Observation 9be3a9b4-087c-4600-bb9b-657530b21811 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

LLMs can be easily Confused by Instructional Distractions Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.320696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.320696Z digest=sha256:d29a1bf454df964e80b65ae183d171fed22eaa235339b0f86f2b7d2f948b8b4f

Observation 96ef60d7-23ab-4c5a-bc0c-e3d7471451ca · outbound

This paper cites MathPrompter: Mathematical Reasoning using Large Language Models.

LLMs can be easily Confused by Instructional Distractions MathPrompter: Mathematical Reasoning using Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.324974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.324974Z digest=sha256:9c272b8122315b72cfe7d2e5e2e3ab0e6b46aed2bb3055420398919d846d45a7

Observation 4e7e4ece-aeed-4bc9-b68a-bcab20c887d0 · outbound

This paper cites FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

LLMs can be easily Confused by Instructional Distractions FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Reference 15

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unresolved
no resolver link, observed 2026-08-09T10:50:12.328219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.328219Z digest=sha256:f8187292c9d4e2cf5b7833fed6708247b4301573d206b5fee7298b3a79ff0b07

Observation c292a6c2-8fca-49fd-a366-cf07777e7c82 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.219252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.331502Z digest=sha256:9b87d70b480f50e72c4782917ee2188871e698793038fe10a8a5885193761022

Observation e20b43e2-79db-4a46-999b-9bd2e248323f · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.334510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.334510Z digest=sha256:967fb5a89f54202bbaee18e1fa95217e46af5c8b6b7c1396879da66a9621bd79

Observation 6acbb55f-3aed-4f68-b65f-083e46dd1ea8 · outbound

This paper cites CriticBench: Benchmarking LLMs for Critique-Correct Reasoning.

LLMs can be easily Confused by Instructional Distractions CriticBench: Benchmarking LLMs for Critique-Correct Reasoning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.337684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.337684Z digest=sha256:cd239461a8bba4c838872d6853241df555f5a5f0013923790753ed30148f45ea

Observation 23467e4c-c6a1-4e63-9b70-591e9b7c4178 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

LLMs can be easily Confused by Instructional Distractions G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 19

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unresolved
no resolver link, observed 2026-08-09T10:50:12.341692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.341692Z digest=sha256:13d9a8a2ca23ede34515c8e4225a0ac3211355f8d81f7456d34bfba87e0233af

Observation 23228c18-f2e8-4730-97fe-aa44f885fcff · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

LLMs can be easily Confused by Instructional Distractions On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 20

Resolution
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no resolver link, observed 2026-08-09T10:50:12.345590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.345590Z digest=sha256:e74aba9e640e90a01a5ab9b0c15c125e7d3863e2f63e3d2ef26772156e25bd84

Observation 1f606a3f-8c4e-4cee-bd60-ef4542ce48fd · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.199036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.349107Z digest=sha256:e2469ba3532ca5c495c969168e0d6fd3513026d99f242d6d23e75217dfbdc391

Observation c9b9679b-81cb-40d7-b39c-807c79f16c39 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.186878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.352184Z digest=sha256:4b1534cc3e13436702e6efa10d331e82552cba32a6f5d991f80be82dbcbcb208

Observation 49c57650-e222-4559-b54c-76a9af3a7af2 · outbound

This paper cites Low-resource Languages: A Review of Past Work and Future Challenges.

LLMs can be easily Confused by Instructional Distractions Low-resource Languages: A Review of Past Work and Future Challenges

Reference 23

Resolution
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no resolver link, observed 2026-08-09T10:50:12.355666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.355666Z digest=sha256:d99b178b5c738f7d30ebd7d11b95ffc9b57d1f268aba256225ff2a787e80b46a

Observation 3d9ec9a3-1b96-476d-bce3-a2f09101e56f · outbound

This paper cites Cross-Task Generalization via Natural Language Crowdsourcing Instructions.

LLMs can be easily Confused by Instructional Distractions Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 24

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no resolver link, observed 2026-08-09T10:50:12.359109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.359109Z digest=sha256:84df80072c050d2dbb14a04d0eea97a8536701f5f966bcec70b0b6e377ce8e17

Observation 98247ab9-9dc3-491a-893f-d011b5122c89 · outbound

This paper cites Text Style Transfer: An Introductory Overview.

LLMs can be easily Confused by Instructional Distractions Text Style Transfer: An Introductory Overview

Reference 25

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no resolver link, observed 2026-08-09T10:50:12.369956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.369956Z digest=sha256:bd78ea19138b7230002b1a85358559882aeb13af731fb3acfc9aa3be5e5eca0f

Observation e410af63-401f-4f92-89ad-cfe90f7477b4 · outbound

This paper cites INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models.

LLMs can be easily Confused by Instructional Distractions INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models

Reference 26

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no resolver link, observed 2026-08-09T10:50:12.392675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.392675Z digest=sha256:63cb95782430480cb984bd47494917f1aa2ea14b73114c46f9e9ba4edc733b37

Observation 97290847-eaec-4e04-92a7-a5dbb7b19dd2 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.174813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.420881Z digest=sha256:f80a8ca339d9a63e9e245278e0ab015ecf4c9021a9f77daf6902c052be07cc7d

Observation 57aead78-5cdd-49d3-b0f1-3e0896ad2ff3 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-09T10:50:12.444853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.444853Z digest=sha256:4f10367e59f651f94ebc7bb038664e0bd254c50b99d59ab02e1a81d91b573110

Observation 5ad79c81-a93d-42c6-8123-06599fa87108 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 29

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unresolved
no resolver link, observed 2026-08-09T10:50:12.447979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.447979Z digest=sha256:04d321b28bccca6fe4dd30bfe761209dbf4098aefad779e201c1f885443edc61

Observation 97e21808-a72a-40bf-b88f-f1951b0c5288 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.450893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.450893Z digest=sha256:667e737acf3f57e22665c433caffdc07a004f15ed78201c9851cd1bfb8dba875

Observation f34c3dc2-d511-43d5-a706-54f134dfdb8d · outbound

This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

LLMs can be easily Confused by Instructional Distractions BBQ: A Hand-Built Bias Benchmark for Question Answering

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.453603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.453603Z digest=sha256:0e451c093f0c430fbbad39676714ccdcbd8c14777421d4784bd3c44eca489883

Observation 1cdd079b-9d52-4a0f-8508-4a4a57a6cc9c · outbound

This paper cites DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows.

LLMs can be easily Confused by Instructional Distractions DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Reference 32

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unresolved
no resolver link, observed 2026-08-09T10:50:12.456777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.456777Z digest=sha256:10bcd309d221f304a4005a288095723956187acb090845316d3b0aead209a3b5

Observation ba37fdde-fd39-4356-9883-9df8ca32b1c8 · outbound

This paper cites Instruction Tuning with GPT-4.

LLMs can be easily Confused by Instructional Distractions Instruction Tuning with GPT-4

Reference 33

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no resolver link, observed 2026-08-09T10:50:12.460035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.460035Z digest=sha256:89eb55f82c1c073e4de0de19f8d0950ce6dcae599f3db771afa8266c54b1cd6b

Observation 5a2c937c-c775-4abb-b282-826e32733246 · outbound

This paper cites InFoBench: Evaluating Instruction Following Ability in Large Language Models.

LLMs can be easily Confused by Instructional Distractions InFoBench: Evaluating Instruction Following Ability in Large Language Models

Reference 34

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unresolved
no resolver link, observed 2026-08-09T10:50:12.464076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.464076Z digest=sha256:a82f33ffc81426c982d82e9ce1933d6989f27d2e7f5637eafafa7fb179f6565d

Observation fa6e48eb-8397-4e51-96a5-1595553b1159 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 35

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unresolved
no resolver link, observed 2026-08-09T10:50:12.468372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.468372Z digest=sha256:22c3e60e86b9a256d06736f2fa72ba86f825fb4f20c1d5fc3fb5afc1bb93e016

Observation 77444394-0211-44eb-8321-6dadf01f9942 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-09T10:50:12.472258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.472258Z digest=sha256:b909a06136d67986d8261dc03b70d8e357945d4d8d1277c91841a6cb6850b907

Observation 6acedd09-ccc2-4777-b5ba-1b998aa65e55 · outbound

This paper cites How Much Knowledge Can You Pack Into the Parameters of a Language Model?.

LLMs can be easily Confused by Instructional Distractions How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Reference 37

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no resolver link, observed 2026-08-09T10:50:12.476114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.476114Z digest=sha256:fb9ea9fa388aac223566d3b32000f0f231cca6108beeca638eda7a476cc62d98

Observation d372e6dd-dd9e-4807-9ccd-bd5376678775 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.126096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.480084Z digest=sha256:867e664fd54f23e920ee959f4829810930031a1c2d4caf8fcf78f6712e3807e5

Observation 2957bce5-2342-4b0d-b755-bf63fd216b50 · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

LLMs can be easily Confused by Instructional Distractions Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.483673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.483673Z digest=sha256:7de18d07f43e5aa786a8fe5da34351b40d8f482d3f3d3d86cabe4688b3dccbc3

Observation 13e491d9-92a3-4ebd-969c-7a9f3620a9ad · outbound

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

LLMs can be easily Confused by Instructional Distractions LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.487457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.487457Z digest=sha256:30f92b81e271103bd11650c54d61db4e5b55452ef19cd4ce1a08c071165eff31

Observation 848ad83d-c3e8-4f52-bf38-e95bac97420a · outbound

This paper cites Prompting PaLM for Translation: Assessing Strategies and Performance.

LLMs can be easily Confused by Instructional Distractions Prompting PaLM for Translation: Assessing Strategies and Performance

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.491441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.491441Z digest=sha256:b32a0ddaca40f8383c8ca8908631959d20d899616540d3ffbfdafef022628fb6

Observation 667e977e-34f4-42bb-a62c-21c77a944afa · outbound

This paper cites The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions.

LLMs can be easily Confused by Instructional Distractions The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.495566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.495566Z digest=sha256:5d36dad2dc1963fd8907af983866c712e0e5862ca34aeae5237277979f9b0c48

Observation 2ce9f9e8-910d-4211-83fe-b707cfe50a7c · outbound

This paper cites A Survey on Data Selection for LLM Instruction Tuning.

LLMs can be easily Confused by Instructional Distractions A Survey on Data Selection for LLM Instruction Tuning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.499614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.499614Z digest=sha256:e1ed6af9718e2220860e1417884d5d8adde3260406bed7f7dd3b0433beb5fc54

Observation f504303c-518c-43e5-b2a5-4894e9068c27 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:50:13.113458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.503600Z digest=sha256:e7672ff756d5c7e49369b4f76355aa2918a204c9eae3e031239dc9cee6ee7f06

Observation d47b3262-8b02-40b8-9cf3-457e7d085124 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

LLMs can be easily Confused by Instructional Distractions Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.507130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.507130Z digest=sha256:e24406bb1b28ad0baf9c78585aeb3d330f3a3d1f0a67cdd4160f0769c1e18ebb

Observation 7b62c1cc-dda2-4c2d-b822-d4c87dd3408f · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

LLMs can be easily Confused by Instructional Distractions Aligning Large Language Models with Human: A Survey

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.510955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.510955Z digest=sha256:91e56548a7dd3101e2fe3be7748c17ae05583284de960c2d89468e3ba4b12241

Observation c9c946fe-5772-4994-8eb3-d85cd64840c8 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

LLMs can be easily Confused by Instructional Distractions Finetuned Language Models Are Zero-Shot Learners

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.514880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.514880Z digest=sha256:192e5e4576c9d4fcfee0e58dfa3cd0f01805223db317a53cb14ef12df0b361bb

Observation 08ec788c-a908-4009-a300-bca8f640954a · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.519023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.519023Z digest=sha256:f94274ef4e1f3a637445c7c61b277f4bcc083fb36fc0232b87bd06530461fc8c

Observation c2918419-36fc-4c20-af8b-2a827dba5473 · outbound

This paper cites Benchmarking Complex Instruction-Following with Multiple Constraints Composition.

LLMs can be easily Confused by Instructional Distractions Benchmarking Complex Instruction-Following with Multiple Constraints Composition

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.522971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.522971Z digest=sha256:52efea8ba198924e601736d4b28c99d0dbb5350ab17f4e5411642cd0be1c31e8

Observation ed9d780e-a807-440b-8721-8974742cf017 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

LLMs can be easily Confused by Instructional Distractions WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.527058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.527058Z digest=sha256:c9159d87e0955fbffaceb78f42b189684818cf513c750b7d0b9b63b275bd6d71

Observation 6b98b7a4-afde-4f84-aa72-53bfc53aad1b · outbound

This paper cites BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages.

LLMs can be easily Confused by Instructional Distractions BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.534153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.534153Z digest=sha256:5d8f572c0a8ca7fca15251b824e9982838e1d6fe7fe5d5f6edc8f8b13d3a0828

Observation 6fe15baa-9cd0-4726-9e61-fd238fe6bb0d · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.537774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.537774Z digest=sha256:ee023495f95575526151ba60aaff3d38217cb26a8bad7827313a9394f586586e

Observation fb0042af-2738-4b76-82b8-95fc8f111ea4 · outbound

This paper cites BSTC: A Large-Scale Chinese-English Speech Translation Dataset.

LLMs can be easily Confused by Instructional Distractions BSTC: A Large-Scale Chinese-English Speech Translation Dataset

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:50:12.683899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-09T10:50:12.540992Z digest=sha256:dd431125a558224b99ce682f1e59c720137f386ab11439f6e5e75934a1c8ca74

Observation 1f7ffbdd-96b7-432b-8e27-d7eab068c380 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.544303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.544303Z digest=sha256:c2ca25c7c42029c77a50e1a762f9bb310450be51dbb1eb80dfafd3fcc7b4c08f

Observation 7f24a12e-5781-4dd8-a938-654d0e91da3c · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.547578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.547578Z digest=sha256:4458ad0807ec281e7de213a2bba568562ce9442774a52a6e23b2d23c233c4912

Observation 19c85f61-ecd1-42d9-8bfd-2faa54a7ee26 · outbound

This paper cites an unresolved cited work.

LLMs can be easily Confused by Instructional Distractions Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.550835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.550835Z digest=sha256:9b20bbd119302325ade596b0057c8a86326d799b2f2b9f5c73732f0bcc2119ac

Observation 62daec72-e239-4c11-87c8-0e6b666a3948 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

LLMs can be easily Confused by Instructional Distractions Instruction-Following Evaluation for Large Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.553830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.553830Z digest=sha256:5d7c99e4023ed6b1cc19a711ae33ea4e86ebd35a855ac0c2e027660a387c154b

Observation c72e40e8-2a75-44a3-a97b-b15e8a168ebe · outbound

This paper cites URL: " 'urlintro :=.

LLMs can be easily Confused by Instructional Distractions URL: " 'urlintro :=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.558097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.558097Z digest=sha256:9b5b024500c00aa1e08341ed3b3e042c1aa5396f8ec5ade2d0d8b043908723f1

Observation 7270e7cc-5d87-4ad3-899b-4d7613e27983 · outbound

This paper cites write newline.

LLMs can be easily Confused by Instructional Distractions write newline

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.562956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.562956Z digest=sha256:af01ecc3142bf52a260ba0575230920beb9bc4f3861b968252fd16e3037f4327

Pith citing papers

Observation 31957ffe-76cf-4433-a147-387c1e4d259b · inbound

Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets cites this paper.

Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets LLMs can be easily Confused by Instructional Distractions

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:21.440027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:21.440027Z digest=sha256:677916a3a01d2e841bf1a446f30c32ad218a69666cdf6e3cdaa583d5ea57f35a

Observation 84259146-93c7-4e8b-bdc9-33d72c10d5b9 · inbound

How Many Instructions Can LLMs Follow at Once? cites this paper.

How Many Instructions Can LLMs Follow at Once? LLMs can be easily Confused by Instructional Distractions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:46.971726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:13:46.971726Z digest=sha256:a26a0e8f9b6b6b7f12e15bebc0cc8720e1b0f6fe6e076e540a6f4b1e48c77600

Observation b72f6d4b-c40e-48ce-a66f-36205a9b4458 · inbound

Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming cites this paper.

Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming LLMs can be easily Confused by Instructional Distractions

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:41.091522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:45:41.091522Z digest=sha256:afbe34429a0f87dfe5a8054cd368d3f4c6d868a6108264626f448987876b2d2e

Observation fdbced04-2017-41a1-b08a-759ee9589829 · inbound

Can You Trick the Grader? Adversarial Persuasion of LLM Judges cites this paper.

Can You Trick the Grader? Adversarial Persuasion of LLM Judges LLMs can be easily Confused by Instructional Distractions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T21:55:58.045916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:55:58.045916Z digest=sha256:d7dfe2ec0e5e1fd71666855299d59cb1a418991f41d42dbc7a61ead40069c71a

Observation 60564746-0f7a-4ffd-a1d6-3221cd23fdda · inbound

TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation cites this paper.

TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation LLMs can be easily Confused by Instructional Distractions

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:10:59.653102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:16:35.875601Z digest=sha256:ecefa1d081b416ed21cdd0fd08647ab94a81d5faac7c443e6b366a7125c1d7e3