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Paper Citation Record · LEDGER

Does Prompt Formatting Have Any Impact on LLM Performance?

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 47 inbound Pith citation observations for arXiv:2411.10541.

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

pith.paper-citation-record.v1
2411.10541 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:38:27.146182Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:02:43.191164Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5744fd68-e4ba-4445-8684-60f14a112cad · outbound

This paper cites GPT-4 Technical Report.

Does Prompt Formatting Have Any Impact on LLM Performance? GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.284361Z digest=sha256:ad8b659bb74f4c8488e476fd8c6a6340dbf7951a5dc3fa817a15cafc799bf8ed

Observation 137ec5c2-3d0a-45cc-a2b4-c92b2731d5fc · outbound

This paper cites June 2023.

Does Prompt Formatting Have Any Impact on LLM Performance? June 2023

Reference 2

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source=arxiv_source observed=2026-08-12T19:38:26.319377Z digest=sha256:8374103ede072d94fecf95e9bf07dc4f64ae81cb40becb9bdbb8839d835b7baf

Observation 267bbb49-5848-4da6-8ed8-f2d7d47cfddb · outbound

This paper cites Language Models are Few-Shot Learners.

Does Prompt Formatting Have Any Impact on LLM Performance? Language Models are Few-Shot Learners

Reference 3

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source=arxiv_source observed=2026-08-12T19:38:26.347769Z digest=sha256:87de60a280a0c851b7876f71f8ae5fd6a9b38177d8d1c1d2c1b9f94836521e0e

Observation 5a5f221c-68f2-498f-9b29-717933e22a00 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Does Prompt Formatting Have Any Impact on LLM Performance? Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 4

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source=arxiv_source observed=2026-08-12T19:38:26.361331Z digest=sha256:24f6d51e328397be8f290819c020be6737df594c551493ab895eba67bee04dc5

Observation c9f6403f-12c6-4879-a935-d77cd372941d · outbound

This paper cites Stealing Part of a Production Language Model.

Does Prompt Formatting Have Any Impact on LLM Performance? Stealing Part of a Production Language Model

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T19:38:26.367067Z digest=sha256:0fbee37bc4c9256f8dcb14a9b968e06ebaf59ea4ad694e28ab9d412204809752

Observation 7b6fb563-6dc2-4e30-a806-4c17abc4eef8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Does Prompt Formatting Have Any Impact on LLM Performance? Evaluating Large Language Models Trained on Code

Reference 6

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source=arxiv_source observed=2026-08-12T19:38:26.372643Z digest=sha256:78c7ad06f721d32935fe22dad46b75fbf096a1d2fc81a348d1ebc07d5a2f69f4

Observation 57d8e1ca-9f63-4699-897b-2970de98de47 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Does Prompt Formatting Have Any Impact on LLM Performance? PaLM: Scaling Language Modeling with Pathways

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.379272Z digest=sha256:1cd6ec4e9f69114f12006563e20db1adaa8f89e83fd539a9a48a9d6c46180ba0

Observation 46477ffa-d97d-45d5-a94f-21a199a0c851 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Does Prompt Formatting Have Any Impact on LLM Performance? Measuring Massive Multitask Language Understanding

Reference 8

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source=arxiv_source observed=2026-08-12T19:38:26.420758Z digest=sha256:9f57dbba397ac7e19c29db66147576539c0e8dda0bdd6fd85b22f2b086d92b2b

Observation e1b02c7e-0727-444f-8291-92fb3b89f17c · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Does Prompt Formatting Have Any Impact on LLM Performance? Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 9

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source=arxiv_source observed=2026-08-12T19:38:26.485589Z digest=sha256:f2f4bb4a0d4202966f3a50efa50d539489962f2c6845e584739c97d0e78a4a18

Observation 8d4f2e14-c169-45be-9152-90cf00e57b2a · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Does Prompt Formatting Have Any Impact on LLM Performance? Textbooks Are All You Need II: phi-1.5 technical report

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T19:38:26.571081Z digest=sha256:d9b9fa8044b9ec5a9b57fe74122e7c0c3cbdf04e29f35d4bba7599f965e3eae0

Observation 9f288c2d-a0f4-450c-98fd-6a995126e4be · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Does Prompt Formatting Have Any Impact on LLM Performance? Lost in the Middle: How Language Models Use Long Contexts

Reference 11

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source=arxiv_source observed=2026-08-12T19:38:26.600322Z digest=sha256:9403b75d559a6dad3498b65d0887b8d89c8f7a23dd1d6517ab52fe62f0168dac

Observation 044bb79b-65d9-483c-a869-d45924ee7354 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Does Prompt Formatting Have Any Impact on LLM Performance? CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 12

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source=arxiv_source observed=2026-08-12T19:38:26.632560Z digest=sha256:a3085662652c1f84ee7ab56cdf1ed2c6c90a73f689698a8a5b85bfcee3df28b7

Observation 0e20dc1e-713a-479b-bde3-987698ad7953 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Does Prompt Formatting Have Any Impact on LLM Performance? Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 13

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source=arxiv_source observed=2026-08-12T19:38:26.668373Z digest=sha256:b1c7d09324b0d2740843cf06a3ea3c101a52d44f112e754f9f49b25c65cf0d9c

Observation 6bd33771-dd12-4454-89b4-d84241a4f5c6 · outbound

This paper cites guidance.

Does Prompt Formatting Have Any Impact on LLM Performance? guidance

Reference 14

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raw_fallback, observed 2026-08-12T19:38:28.032932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:38:26.690449Z digest=sha256:78a44ab60c3a9cfcf934aff2eabf3e2ee96227c3d15379959978c1971d32092b

Observation cf3be589-e28d-439e-b38e-ded1b1575564 · outbound

This paper cites an unresolved cited work.

Does Prompt Formatting Have Any Impact on LLM Performance? Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:38:26.704308Z digest=sha256:bdec74b1998015cf36fee10d42a4597ffb565f8b30164d9057fcdc2e187171b7

Observation f493b6ed-082c-48b8-b6b5-fd3a51ecd444 · outbound

This paper cites an unresolved cited work.

Does Prompt Formatting Have Any Impact on LLM Performance? Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:38:26.708565Z digest=sha256:f889de6ef605078ec7e967ba88556197a8fb4af60d8f0cd78a79eb4e120e788f

Observation 551c644b-efeb-467e-bd67-8c81ca6e0607 · outbound

This paper cites an unresolved cited work.

Does Prompt Formatting Have Any Impact on LLM Performance? Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:38:26.713485Z digest=sha256:3362eb3d5c5be54f5bbb75dec63740f1b04a98a89656154ae5386da4afa82eff

Observation 8c4fde01-c780-45f2-873e-0310eb7ca1c4 · outbound

This paper cites November 2023.

Does Prompt Formatting Have Any Impact on LLM Performance? November 2023

Reference 18

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raw_fallback, observed 2026-08-12T19:38:27.901791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:38:26.719236Z digest=sha256:88bb58607260169a12cd714fccff04e815cf2567c239dfcbf3c97d2958c0e5e3

Observation e2e8d5dd-d24d-4bb3-88d9-4935adac9763 · outbound

This paper cites Training language models to follow instructions with human feedback.

Does Prompt Formatting Have Any Impact on LLM Performance? Training language models to follow instructions with human feedback

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.723860Z digest=sha256:acdb442dd0227657d97723df6760c9a9916f36408d2eac97f0f3bec349db7fcd

Observation a905d37c-1cbc-4fc8-8186-e356eff90cb7 · outbound

This paper cites an unresolved cited work.

Does Prompt Formatting Have Any Impact on LLM Performance? Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-12T19:38:26.736034Z digest=sha256:b8cae4d1415c38cabf13345677a1e31f99285438abfd367bf63f45d4c5141654

Observation ebfa0603-b794-4678-bc1e-f9de9a375eb9 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Does Prompt Formatting Have Any Impact on LLM Performance? A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 21

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source=arxiv_source observed=2026-08-12T19:38:26.741026Z digest=sha256:49ffc3322ae45ad063a85184dd9d02150515476b9a0961b6155281da87887744

Observation 1e21ac98-9ddd-4c3a-b47c-11598659bb17 · outbound

This paper cites FIND: A Function Description Benchmark for Evaluating Interpretability Methods.

Does Prompt Formatting Have Any Impact on LLM Performance? FIND: A Function Description Benchmark for Evaluating Interpretability Methods

Reference 22

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source=arxiv_source observed=2026-08-12T19:38:26.746856Z digest=sha256:05b87a26eee529d1426cfd7f8004feb8b558c0be40297f3bab903d572985f22d

Observation cf5aaaec-a456-484e-9538-44747de18621 · outbound

This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.

Does Prompt Formatting Have Any Impact on LLM Performance? Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Reference 23

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no resolver link, observed 2026-08-12T19:38:26.789374Z

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source=arxiv_source observed=2026-08-12T19:38:26.789374Z digest=sha256:56feff897459fc07abc7f5dfe46b6384cdd69522780d83618b7cb06b05e9ba05

Observation b76bfd8f-aef8-4d20-94b1-be4ab53f88da · outbound

This paper cites You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.

Does Prompt Formatting Have Any Impact on LLM Performance? You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Reference 24

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source=arxiv_source observed=2026-08-12T19:38:26.861069Z digest=sha256:4f37315f17574c72678a298b5b70a1d2fa800ea0ec82737e0dbf0782d40eadea

Observation f3fef87a-ee65-4503-a96b-31cff8e201b6 · outbound

This paper cites an unresolved cited work.

Does Prompt Formatting Have Any Impact on LLM Performance? Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:38:26.942447Z digest=sha256:c2d229d93beeeb456fbdc193e5c3ffeadce7d61a29c1bb3d6acaf04dd837d637

Observation ad907e1a-7551-4de8-ab47-c0f4b22bc895 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Does Prompt Formatting Have Any Impact on LLM Performance? Gemini: A Family of Highly Capable Multimodal Models

Reference 26

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source=arxiv_source observed=2026-08-12T19:38:26.986317Z digest=sha256:7a186d6f7c487e4309afe8549fd38a08dbb0a8a7f0fafe65df193a7d01ffd2f0

Observation a2771637-510b-49b0-92db-c2bf2c81f764 · outbound

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

Does Prompt Formatting Have Any Impact on LLM Performance? LLaMA: Open and Efficient Foundation Language Models

Reference 27

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source=arxiv_source observed=2026-08-12T19:38:27.017777Z digest=sha256:d75d4dddf827e144826a483beb2f7e0e0603aadac739c931f958cc34de63fe22

Observation acfbff11-cc1a-4455-a953-b6690b06a1d3 · outbound

This paper cites Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements.

Does Prompt Formatting Have Any Impact on LLM Performance? Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Reference 28

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no resolver link, observed 2026-08-12T19:38:27.040197Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.040197Z digest=sha256:1d182962c831a51c77400d394518adfbbac61eb08a355bf262344bc0879d4c53

Observation 621a8185-b1d1-4fc0-aca6-c3418bc44833 · outbound

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

Does Prompt Formatting Have Any Impact on LLM Performance? Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 29

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no resolver link, observed 2026-08-12T19:38:27.057395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.057395Z digest=sha256:bcaa3ff72c5b6abfee14acaa0fb321e502b5f31242ddb33b8b071f4ed7a88e30

Observation 6e46cbc9-c2e6-4e61-87a7-5a8fe9b148c7 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Does Prompt Formatting Have Any Impact on LLM Performance? Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.062016Z digest=sha256:d7f5ed549c3413d5bb27f20960c99d1a1adcf3b0bee13c063f0dfb841da27f2d

Observation ffb16315-0ec1-416b-ab40-42e107385191 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Does Prompt Formatting Have Any Impact on LLM Performance? ReAct: Synergizing Reasoning and Acting in Language Models

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.066916Z digest=sha256:10a82d02e9e0bddeee83615214777f1d8df982eefa01751f85ab9992178e851d

Observation ff45f939-abc8-4c1d-82c4-bf2eff5b7c73 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Does Prompt Formatting Have Any Impact on LLM Performance? Automatic Chain of Thought Prompting in Large Language Models

Reference 32

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no resolver link, observed 2026-08-12T19:38:27.072574Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.072574Z digest=sha256:7aa3ec4124a4bceba45e3ca4ac1b79c660c0a8255d8f9d6ce7a18241bdf3e2bd

Observation a53ceb04-acb6-4917-8358-cd36cd6aadf5 · outbound

This paper cites Calibrate Before Use: Improving Few-Shot Performance of Language Models.

Does Prompt Formatting Have Any Impact on LLM Performance? Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.077687Z digest=sha256:76af9fe668c0c01a9d49a6affb847ab8d337923384eb35438caf102eb7e3194c

Observation 9feac7ef-e7c7-442f-a1fc-9120e5447d21 · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

Does Prompt Formatting Have Any Impact on LLM Performance? CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 34

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source=arxiv_source observed=2026-08-12T19:38:27.082228Z digest=sha256:b9b782a9e82d135b582606a75beb40217479cf4ad7903fa27a74e7b9f5c33331

Observation c11ca677-5541-455f-a4ca-a0a23e7a95c7 · outbound

This paper cites online" 'onlinestring :=.

Does Prompt Formatting Have Any Impact on LLM Performance? online" 'onlinestring :=

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.100239Z digest=sha256:5c6b7ae9f905029138dc62fdec2dbbf47e4023754314bef1413361a963b6f263

Observation fe8853bc-d6dc-4aee-8213-4145d7d78b05 · outbound

This paper cites write newline.

Does Prompt Formatting Have Any Impact on LLM Performance? write newline

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.146182Z digest=sha256:71a742c7039a3b489f25afb07bf1d2dac43cd20ac7ccdc6ac983b0891b220236

Pith citing papers

Observation f62d0ab9-a5fa-44a5-94af-b064f3d14fb8 · inbound

Tuning LLM Judge Design Decisions for 1/1000 of the Cost cites this paper.

Tuning LLM Judge Design Decisions for 1/1000 of the Cost Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:43.191164Z digest=sha256:30dcfcad2619d1efc87414831937d27cfe02693453c0e5d7a67cc8c976d3a4e2

Observation 3cb50cfb-bd4f-4f22-bda6-79dc1131fb64 · inbound

Joint Localization and Activation Editing for Low-Resource Fine-Tuning cites this paper.

Joint Localization and Activation Editing for Low-Resource Fine-Tuning Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 16

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no resolver link, observed 2026-08-09T16:20:57.704938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:20:57.704938Z digest=sha256:ff4b5cb04bb6973eb4cbe9399c41ea9de75606b62bea9ed774e470036e989431

Observation b982bc44-7e8b-4abe-a956-ac258d239819 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 60

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metadata mismatch
arxiv_id, observed 2026-05-12T05:42:58.542908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:d7f3c843b10019cbfb098f77408b65785b2f2a0f27f532093b3275ce7527d0a1

Observation eaecaba5-8624-434a-8616-45e223fe0258 · inbound

Visual Compositional Tuning cites this paper.

Visual Compositional Tuning Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T17:41:53.123803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T17:39:09.890605Z digest=sha256:68b3cf0594a8bff0ba6fadef9441b310958cc49f8a35081e730bea2f73b5988e

Observation 5cf0360d-fe30-4af0-801e-713682834ef7 · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:20.912641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:20.912641Z digest=sha256:005582497d22e5e0b8c29e1507dfb424c8784c8b8ba7c9ef7f961c0d26783933

Observation d1e352eb-8516-4d5d-9585-c73cfe3220ab · inbound

Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples cites this paper.

Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:07:29.875050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:07:29.875050Z digest=sha256:f4d56fc03eb830a54c3d495f36136877c7ada8e866aef8b36d8a1279e16c151e

Observation c2dbf4f5-0b16-4863-992b-3b745ee773c4 · inbound

Existing Large Language Model Unlearning Evaluations Are Inconclusive cites this paper.

Existing Large Language Model Unlearning Evaluations Are Inconclusive Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:56.921126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:56.921126Z digest=sha256:cf9a9387667885e41dc99063b968c510f1f652f56557d9f9981ef98674a508c8

Observation 7151bf95-2b4d-4b0c-8b6b-7f3fa6f91683 · inbound

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length cites this paper.

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 6

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unresolved
no resolver link, observed 2026-08-07T05:23:10.935880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:23:10.935880Z digest=sha256:9570211cb6c4979dbd5663215c6038f4f752bd94bf8ee525291a7ff22fddbd1e

Observation 80996026-b4eb-4356-a66e-21d97e62be9b · inbound

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format cites this paper.

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:46.151962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:46.151962Z digest=sha256:062615eeb3ec0a6f4ebec7a4eb4bfe94e017e785aad77bc1ca9090552cbd7dab

Observation 9a2fb4a9-d0b9-401d-bd66-52ba8e377ad2 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:10:04.524128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:04.524128Z digest=sha256:aa6c269eb3790a66dbb8d5a133fa2a949466d4193c4ef27e514cc17439482928

Observation 5cb45521-7f67-4835-b458-ef56df398585 · inbound

LLM-Based Community Surveys for Operational Decision Making in Interconnected Utility Infrastructures cites this paper.

LLM-Based Community Surveys for Operational Decision Making in Interconnected Utility Infrastructures Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T16:26:35.088222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:35.088222Z digest=sha256:0ae5016a8bec36d7c056be7ee5bf07c7847dafa4d6e24434e25679d13b010970

Observation 5e7aed1c-a2a7-43bd-b6f3-d7e3c7508252 · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:53:04.452317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:53:04.452317Z digest=sha256:bdf98f857308ed02959685116f74735971e37a7c88d8e9265464a3d4f55f36bd

Observation 3abf5ea6-9b20-49be-a756-7971851d4cd3 · inbound

PDLogger: Automated Logging Framework for Practical Software Development cites this paper.

PDLogger: Automated Logging Framework for Practical Software Development Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:49.433560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:49.433560Z digest=sha256:5f1e3265123dc486cde61f0bd1b8b69d43de8ea555ec898bd1cd7f72205b1224

Observation edce00f9-5856-4c78-8176-a869ed7919fb · inbound

Prompt Orchestration Markup Language cites this paper.

Prompt Orchestration Markup Language Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T18:53:49.140514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:53:49.140514Z digest=sha256:f0f65076898e81d6857da40ed3c7ff771840dd8618888e8a46945b2f91a1ee34

Observation 3c02faab-946d-4e47-ad8c-a081d3c7c8b1 · inbound

AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume cites this paper.

AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T14:23:36.867999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:23:36.867999Z digest=sha256:86d74730b74df9acc6ee94c00c924e0d1989179328fc15924c3e37e4638af267

Observation 7e568103-5dd1-4c85-963f-234afb0830e0 · inbound

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics cites this paper.

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T14:21:52.524764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:21:52.524764Z digest=sha256:34d6a4ca7463e0e07bd20588a02c7f24b563f775abe234c4f0b82c5383b13137

Observation 6861b88c-3610-4746-9590-f1c52d8534ed · inbound

Scaling Truth: The Confidence Paradox in AI Fact-Checking cites this paper.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.223582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.223582Z digest=sha256:1a36a3518e67e1e8b69296386733345902f0807202a0a090f2e72a4c93e09b67

Observation ee23a11b-da0a-4c66-aa04-737828cbb71e · inbound

Decoupling Task-Solving and Output Formatting in LLM Generation cites this paper.

Decoupling Task-Solving and Output Formatting in LLM Generation Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T12:12:57.512443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:12:57.512443Z digest=sha256:1494fe0e89d378303c6f73106a53b9f28c9b902e25eb63020162cfbf7918793a

Observation 9fdb906e-a7f2-4b8d-8506-5886521ffa86 · inbound

Psychological Imagination Networks Show Cross-Population Centrality and Clustering Alignment in Humans That Large Language Models Fail to Replicate cites this paper.

Psychological Imagination Networks Show Cross-Population Centrality and Clustering Alignment in Humans That Large Language Models Fail to Replicate Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T11:34:39.069488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:34:39.069488Z digest=sha256:ab16c1943b8c75aefcf4b7b5ed58768de72a728adf540d488dae13dc0980cc72

Observation 176f5e06-66f8-4ca6-b949-b3cdb15ae1f0 · inbound

Auditing LLM Editorial Bias in News Media Exposure cites this paper.

Auditing LLM Editorial Bias in News Media Exposure Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T07:01:32.180462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:01:32.180462Z digest=sha256:f45b2a6a8eacb336445dffa7a91212453034b8a390b2ac2cf75cf33899cca0e7

Observation b75902e3-0159-436b-ad22-24717125134d · inbound

Can LLMs Make (Personalized) Access Control Decisions? cites this paper.

Can LLMs Make (Personalized) Access Control Decisions? Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T05:34:04.972248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T05:33:18.457421Z digest=sha256:d45f41ec115517acab546dfeb75fddd100052d6a3046232968525d0fe5fa9fa0

Observation 24d92e6f-8da0-4249-a68e-ee9886909f1f · inbound

AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems cites this paper.

AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T07:16:37.050911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:16:37.050911Z digest=sha256:ae355d7729f390616f74149a08d40c8fb8a23791d11f4dd88bdb9fcc190e5957

Observation ba86a030-70c9-4e5d-96aa-b3083e15d86c · inbound

IE as Cache: Information Extraction Enhanced Agentic Reasoning cites this paper.

IE as Cache: Information Extraction Enhanced Agentic Reasoning Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:49:55.931690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T10:49:50.177400Z digest=sha256:66d2e39db2b1bf3ffbc0a9a3cf03bf002944030b615a1dd9afaab8e1ba56a27b

Observation c181dba3-e11a-4900-838d-3f24bf8d42ac · inbound

Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution cites this paper.

Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:03:08.629593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T18:58:46.374476Z digest=sha256:cf9c26dc8a39b0b2fb5e9af1ec19161e958649bb3b1c4b3e9ae6c3a357b5899a

Observation 678c08d9-d072-496b-a20e-95b623cf4075 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 138

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.705324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:f29621841fc728a182889ef4461addef4f4364ab0e706e45f7dc7438fbcfe986

Observation 1eeadf0d-8f03-4fd7-95ca-eb519fefb0e0 · inbound

Generative AI Technologies, Techniques & Tensions: A Primer cites this paper.

Generative AI Technologies, Techniques & Tensions: A Primer Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:41:01.359287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T05:39:12.226558Z digest=sha256:407a3e0f0a67ab1b7d3205c849ead2c405d0adbbab20ff0c80ba0a7a8d80f0b7

Observation 262ff1a5-0616-4758-a9b0-18b58c976985 · inbound

MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks cites this paper.

MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:14:22.757837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T06:32:57.198044Z digest=sha256:f15bac01745135c6b710b5d213ed513c35cde6fd04b55cebded8d96918fdc589

Observation 55837b3c-3a7a-414d-9644-4b161be5d09a · inbound

Benchmarking Local Language Models for Social Robots using Edge Devices cites this paper.

Benchmarking Local Language Models for Social Robots using Edge Devices Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:46:30.944729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:4ad6fdff04ffa6de570778d48067c35e59b937f542ba9f2913362f5c31bf0533

Observation aaafe2c8-a998-4e1a-8f97-8fcab9b755bc · inbound

Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity cites this paper.

Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T22:04:18.057808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T10:23:02.697982Z digest=sha256:3eebbea2059a18660ef0f4a6616785d1ea3a80d8b33050ecf29ab814683f65a2

Observation 88099512-5af7-4d09-a27d-ec38c8d21894 · inbound

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models cites this paper.

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:09.060530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:15f8b14c6b98b7cf1414df7821def1cbc5a9778640458c1147863239008e5858

Observation dcc0b25d-bde2-432b-8780-93518cf488f0 · inbound

LPDS: Evaluating LLM Robustness Through Logic-Preserving Difficulty Scaling cites this paper.

LPDS: Evaluating LLM Robustness Through Logic-Preserving Difficulty Scaling Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T16:37:40.232601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-19T16:33:30.850113Z digest=sha256:b2ca6ef0c60d9dcb83c27ed69835b5a933f25c2075a6797083ee99cc8e2d2816

Observation 7a950c64-89e0-42c0-97f9-f5427c7c2646 · inbound

Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation cites this paper.

Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T05:29:39.521627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T05:27:57.800080Z digest=sha256:f0a649fe294ad4438709a158af6ca3d8834cc6916dbc57e7c51e5e89c266780f

Observation c323fe17-c3f2-4e60-9804-d1b3fb3a0985 · inbound

Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation cites this paper.

Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:54:58.056071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T17:49:46.502337Z digest=sha256:3f2ea8697cd31bf2d61588358a7763201be80f3dc06376a3aab13cbc316c93f2

Observation e7b7cc58-f0a0-4318-96cc-0638a108a2b0 · inbound

Empirical Bayes Conformal Prediction for Vision and Language Models cites this paper.

Empirical Bayes Conformal Prediction for Vision and Language Models Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:19.866520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T04:45:11.816420Z digest=sha256:d2985f0024fda7bc4934cd7ffbe256084499288840606a109c96033cb712bd5d

Observation e2b9edda-bfb1-4dae-820a-c49e4ea54159 · inbound

Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs cites this paper.

Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:23:13.265160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T07:14:22.444020Z digest=sha256:28af0ba3a8d0e49befbd120da4441fa38be2a4bf62ccd01df55a7a8d364db4b0

Observation d1a4b6a0-405e-4761-ab97-cd18c19fa94e · inbound

Rosetta Memory: Adaptive Memory for Cross-LLM Agents cites this paper.

Rosetta Memory: Adaptive Memory for Cross-LLM Agents Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:27:09.187540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T22:42:33.581068Z digest=sha256:be7636140eea96e22df8db6833d016d2cd31f7c1961074fddd93daa028480906

Observation e558dba4-199f-4246-9359-0dfca5d6351c · inbound

Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations cites this paper.

Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.503598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T13:10:55.969499Z digest=sha256:88e2393b4518595635cc285acf533768b14500cd6a56fbfc6bfa2919478f54f1

Observation 7525eaf8-22c0-40ac-a349-8b2e3864b0f2 · inbound

AI Conversational Interviewing: Scaling Up Semi-Structured and In-depth Interviews cites this paper.

AI Conversational Interviewing: Scaling Up Semi-Structured and In-depth Interviews Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T17:09:36.259781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T15:52:24.912044Z digest=sha256:344a57d751668630f829daffc9c9cf800c2a05f083347e1d47ca0c32b9900f91

Observation 4ee5470b-ae22-469f-9bda-7d9e7c4f3c5b · inbound

How Should Agents Read Demonstrations? Hierarchical Structure Beats Flat Action Logs cites this paper.

How Should Agents Read Demonstrations? Hierarchical Structure Beats Flat Action Logs Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:39:35.051018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T16:50:31.233744Z digest=sha256:3fc8bae6d3ded6a9fe3a46872df4b56f0649e0c5686d3966ef8d85774c47a9a2

Observation 6653ecc8-a06e-4af0-84cd-ded82b6f3226 · inbound

GRAIN: Group Aggregation via Min-Norm Objective cites this paper.

GRAIN: Group Aggregation via Min-Norm Objective Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 82

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.321467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T09:18:55.049767Z digest=sha256:36d3e977a9e4f0caa61eafddb4b72d85dc96342026a892d37e3181bb91ac0eac

Observation dad08b86-1d6f-4140-832a-84d5682a2265 · inbound

Less is More: Quality-Aware Training Data Selection for Scientific Summarization cites this paper.

Less is More: Quality-Aware Training Data Selection for Scientific Summarization Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:30:00.082103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T23:42:24.557235Z digest=sha256:fb752955d6fa97a3075aebbc290f03c4f4b08a16f2c7c32ba50977f8a82fa2b2

Observation 95528467-b921-4ef4-a258-aeb7f84a849d · inbound

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions cites this paper.

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:06:58.434109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-02T13:06:28.163476Z digest=sha256:a44a83338bc51a808645884d4c5804f6b94e08ebce9957a7d6d2914175cda1d6

Observation 2cac8b94-520a-4357-b191-e07c96772684 · inbound

Compression, structure, and executor capability: a controlled real-cost decomposition of language-model agent skill optimisation cites this paper.

Compression, structure, and executor capability: a controlled real-cost decomposition of language-model agent skill optimisation Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-12T05:14:41.315225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:14:41.315225Z digest=sha256:90571c539be391dcbda06b2e5b5c37bfbc0f96eedc3c132aabd6bd5cf9e782d1

Observation 6bdd4d66-184a-4456-a589-19273f872a44 · inbound

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? cites this paper.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:28:33.393520Z digest=sha256:c27ea3d7d715bbf8a11ed2f6b4dc6c759c67f0731f059232543f595cb4bb2604

Observation ebc593d1-0bb8-45b7-b291-d2cb003a23c5 · inbound

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models cites this paper.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T13:01:00.903193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:01:00.903193Z digest=sha256:0e388f0125c5c9872532b18c1fdb64daf8449d1d564cc2c5b69f397842708a9c

Observation 40a49e55-b116-4dba-b1fd-0b598563fc13 · inbound

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction cites this paper.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T13:59:21.456669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:21.456669Z digest=sha256:98a195a0ccb4d1bc9b4798d515e2b50a1cd5b8128d0295f424298f968ff7395f

Observation d1aaddfc-fc52-457d-8797-90af08972dd5 · inbound

CARE-MH: Towards Unified, Reproducible, and Comparable Evaluation of Mental Health LLMs cites this paper.

CARE-MH: Towards Unified, Reproducible, and Comparable Evaluation of Mental Health LLMs Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-02T13:06:41.790740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:06:41.790740Z digest=sha256:be87fa4394742cfc934108b55fc83233de019dc78eff530392fed116c5f9a1d0