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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=sha256:509fa2d9c264624364ff225b52e82e38fcad3768df7061f4c9d8b7c3338c3f24

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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no resolver link, observed 2026-08-12T19:38:26.319377Z

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source=arxiv_source observed=2026-08-12T19:38:26.319377Z digest=sha256:8a1ce54f6f5f5aeabab2d9d16ff9176dfb5b4124bf829cdb1e2e73cde6f2f807

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=sha256:80e27da7a3906ff0dc6eddf9b3defe457736e250a1fe1fc4d68567b9a6dad10a

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:d1e7788e37d9ce218ae1693abb0e47d779f0401d316efdd039f3ba6c8b30c9d0

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=arxiv_source observed=2026-08-12T19:38:26.367067Z digest=sha256:7a0610b569b040db687a5be26a67e507b9c3189fda1797abe54c2d3099a5c9f7

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.372643Z digest=sha256:f0dac3cae115b98ce71d048d442778b959a1f0ea96af8dc589555a85a1b28733

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=sha256:6d88fcc55d1e43a244409e1b4149cfb6f9a91528c285746aadf3647cba3890c3

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=sha256:68b9c4262f119ae34e11686e8136cd688d555b7eb69994ea1e51f42a2988d396

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=sha256:6bc2163d06c507571745264e7bbb72648dd15d55d8daba01d54ddce73cdb815a

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.571081Z digest=sha256:5a96a2ecc59c6a59520096c9369ad14afc9c7baadbca4f7cd1fb4c3fd3af2cf0

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=sha256:9297c2f4104f5323fa9ce4b8f58da6e1a09f68cc3c596b90ca71eddd663c279d

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=sha256:9be4c64dc36ca27f65207dc8e0114edd49db3e55475c3cb64d86a8e01c6c0eb5

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=sha256:64d2e8998ca7a4712ed1dafe6b6a55b2a545f7af06af7d86ecefb8c04ea8edb5

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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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:dd9e54c2d1dba8a530f8a75ebb50294f44a83c931bf9c4bcb879ae1225a68ab8

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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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=sha256:61a6a0892b7ab11be1977ad1e8f5b756b04a26269dcd729880a575451915aada

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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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=sha256:53a7d29293ba8861b98c8fe293ae3403859499bdf80d84fbf5d03823da64e5b4

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:a4717cfd0b2268909e5f3c27913bceb83bd9b504e77fd42da2e3d9dad43d978f

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=sha256:376abe8a5ced5ac02db0a1fc626bd14f39a446120983ccc2473459ccd5e921cb

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=sha256:0d70f411a5490a8dfc8d3ac1671720bb523f53fd79c10031e6a2f0248c1bf069

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=sha256:765c9ff67ed5e2e4e21a3bc81770f8b9a5cca6f111490ab4dbf7ee7716b95ed7

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:ad3bc9fc49a8857b9b2fb2f4cb4fabadba700c5b30447bdd84db9e8027d80466

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.746856Z digest=sha256:e659d5196dabdf634b7115f74b3322949288231d56af3f1264d1d0d760ab49d4

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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source=arxiv_source observed=2026-08-12T19:38:26.789374Z digest=sha256:40cc40088499f6ae874b5ef2bd5c40d00dc2537091b987d79ceb12174896665d

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.861069Z digest=sha256:0c21858fabb2d1b2b75d99707915ee017c6caf2220725f15419913630da38bb3

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:ba34a0a5dcae87686a5e37a16d374dce9b0aa68cecbec39844995c553ac96fba

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=sha256:7deef34f7ddb2a58f06cdb921ddd4e64a4dfd9cb4d1995cf010eed61037eb414

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.017777Z digest=sha256:7835a153e38b3f7aca56a07a816e776effb1096089a1c1b48c907d1c1c845324

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.040197Z digest=sha256:6ae95fc14add5e36fbc89f9ff87159649098fad07fd0c7bf361d2ce6bca69f22

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.057395Z digest=sha256:7e721ee3d9ee3bb43fee09802504c61a652e24f1c74d0fb19acd056ad1db9473

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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source=arxiv_source observed=2026-08-12T19:38:27.062016Z digest=sha256:9c2ede02f4b0ea68ef3b5df9f84d7a5a7fcbbe53266a1596cba238299e9aa2e9

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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source=arxiv_source observed=2026-08-12T19:38:27.066916Z digest=sha256:2a5b26ad255566b015ae97dbe72cc6c8f674ee2ed841a2bdaee11c8d9dd87581

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:e2487a33ca4e812a55e8f5508dd8625226bc59f72481b69f7a629b6f4476aaf2

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=sha256:8c6a9219a7a436d4a79556c14c8afddd67d87384db234926d1c211bb6fd52cd3

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=sha256:00579c472a8a38516083a6ecabf73ae621e5e96531dbba0c1c0c64e229af54f2

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=sha256:27004f08da10c444ea103bc1e72006b80e7389f35ed01c4d60bd726fc5a75225

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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source=arxiv_source observed=2026-08-12T19:38:27.146182Z digest=sha256:8e5cceea56bb7fcf07bb9666ed07e93f2cdf5d4f6dc2675a97f36ddda4f3fa18

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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no resolver link, observed 2026-08-10T15:02:43.191164Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:43.191164Z digest=sha256:db7db1c9a55ef5abd1a462a9d2e0d923b599a6c495dc99be4110cb603ccd6233

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=sha256:3247559e33a15f2ad6f933a3a098835beabcf076914375078c5c774b80a158df

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=sha256:27da12d251e277163a7544b7aaa60e48ecde908b3917df06b65cdc0d24683430

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=sha256:3dbc0ea461ee668c06ef93525625bdc30dac8a2b2653d8429940cf7339b05fe4

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

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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=sha256:6d8a677eea77bd90794b6e7c1209e7d5dc7872ea5e65cf30b25fd9be88beb71d

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:e41a4c07e5c5f00add261d73e0fc4e0df309dbf960184374ffec0a7b59402dfb

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=sha256:9e3599170c8464fd940dc06a8a0c1cead7c19bd1c7241f857647162067d07f2d

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

Resolution
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:c67691a90054b647df1bc5cbc2b03b94b91f9812451f8933f068536e02e32911

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=sha256:6184d6841f1f06b0e4ba826a6ca1069e32836f2024bbc9a4a1b75e679c8af17e

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:ab2bb3e35f15e097b041b71d68109a849f15cda67eea0efdfb2856caf43ff1d6

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=sha256:2b2811f4605518dee0e62ae5926c1eb0a8fdc6b7843842fa32cf1e09772336bf

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:f8c1116c623d8c22b8ac56ef9cdedbc927b29e57843ddecae10ce1f89cf10975

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=sha256:008c8f7471c149de0939c4bc54dc8ce6a4c68fb7e3e84d3edca67267bb642151

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

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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=sha256:382df5a04051e19adbc021705d35c38e3489185fdaa57a9dd95ad832905cda11

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:f86b817f959d6e9a6b4079f623ba5fe7a260c27c29d56f4141e232b3100a5852

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=sha256:25625005944f190a8997911c324f6eb4f1ae22f8b145b7b621a0c6d708bac855

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=sha256:4445eda01a7871d4c996e9c05360f0de08978f50a38e99b5bb17db11a4f23df6

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=sha256:58b2ff7852baa3a2d24ffef6d5cc1941f8468d577490e5dda7dcb0b15189ab8c

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

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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=sha256:4af270937e274b1cfd5e075c338ecb4d7fc421b27c7309396065e7449a51ca42

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=sha256:28d52d352d9e8f0271e2312a404f4bccb5baa01b1854cd597951aaa6cf9f01e7

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=sha256:0e081c3d593a5abf1e8be1f4b8c61eec7206c5772878f52ca11ec100cc5c55cb

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=sha256:110fadc9806cb49a54f0d7dc25c3c4b54887f5b2a30c35e44f4d1293f6409db3

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:ef92d17b6da93342aaeb3ba84d743e460240bd924117cba919c7612d207775f5

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=sha256:2ddfb1e1dbe75779a3e813d14492d061907602c79ced3a96407d6a8b88ffd8c9

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=sha256:64d0c7e862e13ac493dfeac1a6dba93c9b614da3ce183c6bfaf31e0fe5378a61

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:a1008dfff182e0890b8f1573b4236f79c976ea0cde0ecb46b1d799db7082212e

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=sha256:8d98faf22dcb607c48f9a80dce8b864b649e336b96fcdcb2eae0dc41f8e6e72d

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=sha256:6e2fef8dba20ce32012499f8cfcb266a39833bc7ba154981ba89dbf82cafd17b

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:ad56bfdb59cdbc3975d5a917706996dc125348139310190223b9fc6fd35cb388

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:cd1cd49312d54aadabc5cbbf59e9b4692602da404f802be8b6b01dbd3a49070b

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=sha256:02de75016070361247543c91bf2c3de852f3603daf4606adf7a305eb264b7a70

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=sha256:881efade1085f8f060d852ac9c0889f2d7cb61782775114e592771e8ccb1e9d2

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=sha256:5cb8cf33d69bb110cf1cad825df4cd153bbf73ac4ea46d36c6e1ca1a0ecd45ea

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=sha256:6a17bfd7f30da33fd9825fe7b7f6a3129abae73c574fc902c54cf290786fe632

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=sha256:0cbb29fb5d733a3b6a7f4eefe12a5563c31cbaf2b14d6fe5663a25a10021d7bb

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=sha256:09f8e96140143ab6f71a9a418f832ebf0c2f748b7232388515ecc4eb66723a7d

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:e25a72c5aa09280471c8b9dac11e8afdfd710a7d5b568e6f5c18adaf309c9115

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=sha256:637d4b58aec730bfd2353019c6fb143e266a56ef3d4d616c9e64fa0fab122784

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=sha256:94da64ba991859c758ee0063cfce2a7767498c5cc163b53a30be0ef119b356d3

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:d2ee80e5cc10c15ca0b8f7da365d2bd52ef689018820ca7c1536a51a60030c93

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:ea5566b5d7c32e5b2a248bf54febc1772d4b16a436a5e9e3e7bc1047f92081ee

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=sha256:193c194e8c2efedf1c0a9f08948e3bd4224dee579809b948c290f2e8a7bc31d3

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:d3df8cd0f0a7e2db025a3e3133ba38333b63ea6c75d89b460bab5cbe177ab37c

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=sha256:34e28007cc6ea9ad8439d445e0e3da02d4976ea23f3359a1302b2e6d4d74f95d

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=sha256:74778b15fef413e10f374d07c79d910e65d553ef4c35435930c582728fab6389

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:f8a73e6b272797d4caeae539965b589363652ac480a327d1ebc9850c7c54d29a

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:ac85eb56f15b242fb297e9dc364eb2fea5cb2506a94081672bb218edd57ddc0c