Paper Citation Record · LEDGER

Decoupling Task-Solving and Output Formatting in LLM Generation

As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 4 inbound Pith citation observations for arXiv:2510.03595.

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

pith.paper-citation-record.v1
2510.03595 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:12:57.629384Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:54:14.683758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.258941Z

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56f64bf6-f2ec-4698-a102-8bb352facc5f · outbound

This paper cites write newline.

Decoupling Task-Solving and Output Formatting in LLM Generation write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.465173Z

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Observation 5dba85e7-6548-4f04-889b-6734eef2fc33 · outbound

This paper cites Director: Generator-classifiers for supervised language modeling.

Decoupling Task-Solving and Output Formatting in LLM Generation Director: Generator-classifiers for supervised language modeling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.469783Z

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Observation 4e4bf919-aaff-4223-aac0-5a65180e50b0 · outbound

This paper cites An inequality and associated maximization technique in statistical estimation for probabilistic functions of markov processes.

Decoupling Task-Solving and Output Formatting in LLM Generation An inequality and associated maximization technique in statistical estimation for probabilistic functions of markov processes

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.473830Z

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Observation 5351c236-834f-4396-8aa1-317654aca9b7 · outbound

This paper cites Guiding LLM s the right way: Fast, non-invasive constrained generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Guiding LLM s the right way: Fast, non-invasive constrained generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.477250Z

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Observation cc891da9-98af-4730-9ed3-586c1ccd0416 · outbound

This paper cites Scaling instruction-finetuned language models.

Decoupling Task-Solving and Output Formatting in LLM Generation Scaling instruction-finetuned language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.480637Z

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Observation b7df2cd1-19aa-4ea2-a78d-3e0637127227 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Decoupling Task-Solving and Output Formatting in LLM Generation Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.483872Z

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Observation 7fbfad13-7d85-4857-a744-7d6ca2583d27 · outbound

This paper cites Safe rlhf: Safe reinforcement learning from human feedback.

Decoupling Task-Solving and Output Formatting in LLM Generation Safe rlhf: Safe reinforcement learning from human feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.487651Z

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Observation 4102c34e-7877-4f2d-84be-dc7e750eeeab · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.491094Z

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Observation 0cd69955-dd0a-468d-a62e-64a3aa3a3409 · outbound

This paper cites Reward-augmented decoding: Efficient controlled text generation with a unidirectional reward model.

Decoupling Task-Solving and Output Formatting in LLM Generation Reward-augmented decoding: Efficient controlled text generation with a unidirectional reward model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.494631Z

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Observation 658d7b16-13b9-4cb8-aa03-3c29f4ab29fd · outbound

This paper cites The automatic content extraction (ace) program-tasks, data, and evaluation.

Decoupling Task-Solving and Output Formatting in LLM Generation The automatic content extraction (ace) program-tasks, data, and evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.498807Z

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Observation d712e0ce-29ed-4866-9af3-aba11998be35 · outbound

This paper cites Summeval: Re-evaluating summarization evaluation.

Decoupling Task-Solving and Output Formatting in LLM Generation Summeval: Re-evaluating summarization evaluation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.502577Z

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Observation 79cd83bc-7afb-4408-84e6-d29cdfc8037b · outbound

This paper cites The Llama 3 Herd of Models.

Decoupling Task-Solving and Output Formatting in LLM Generation The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.505727Z

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Observation 8bd62f29-cac4-4cd7-8625-3c87f1424b4f · outbound

This paper cites Guidance: A guidance language for controlling large language models.

Decoupling Task-Solving and Output Formatting in LLM Generation Guidance: A guidance language for controlling large language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.509349Z

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

This paper cites Does Prompt Formatting Have Any Impact on LLM Performance?.

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

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Observation 5a73bf13-f86b-4dc1-955c-98e400f3c079 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Decoupling Task-Solving and Output Formatting in LLM Generation Measuring Massive Multitask Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.515724Z

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Observation 42bdd24c-bd7a-420c-971e-4527eb3f4ae3 · outbound

This paper cites Scaling Laws for Neural Language Models.

Decoupling Task-Solving and Output Formatting in LLM Generation Scaling Laws for Neural Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.520128Z

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Observation c8cac24c-3557-4a7d-82e0-7342c09392b3 · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

Decoupling Task-Solving and Output Formatting in LLM Generation CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.524491Z

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Observation a3eebc08-bab5-4028-af25-05f41ba234ad · outbound

This paper cites Generalization through memorization: Nearest neighbor language models.

Decoupling Task-Solving and Output Formatting in LLM Generation Generalization through memorization: Nearest neighbor language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.528098Z

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Observation 49babf6b-ce29-4669-8d64-915d774559d5 · outbound

This paper cites Gedi: Generative discriminator guided sequence generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Gedi: Generative discriminator guided sequence generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.531512Z

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Observation 787bb5b9-441e-4240-87f0-83b270f928df · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Decoupling Task-Solving and Output Formatting in LLM Generation The power of scale for parameter-efficient prompt tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.535216Z

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Observation 2b90f7b8-f47f-41e0-9b54-d96b425ed5f6 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Prefix-tuning: Optimizing continuous prompts for generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.538406Z

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Observation 261a9179-0f9b-4164-b7c9-f103525a32d6 · outbound

This paper cites Dexperts: Decoding-time controlled text generation with experts and anti-experts.

Decoupling Task-Solving and Output Formatting in LLM Generation Dexperts: Decoding-time controlled text generation with experts and anti-experts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.541574Z

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Observation 930a2cec-c2e6-4034-8f79-2217e9afafbf · outbound

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

Decoupling Task-Solving and Output Formatting in LLM Generation G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.545368Z

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Observation 43927ae1-545f-4c3c-8a8d-eb37cc4bb419 · outbound

This paper cites Chen, and Min-Yen Kan.

Decoupling Task-Solving and Output Formatting in LLM Generation Chen, and Min-Yen Kan

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.548557Z

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Observation 83ba918f-f55b-472c-8ba4-d113e639830d · outbound

This paper cites Cross-task generalization via natural language crowdsourcing instructions.

Decoupling Task-Solving and Output Formatting in LLM Generation Cross-task generalization via natural language crowdsourcing instructions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.551589Z

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Observation 284f6175-07ab-4264-a05f-49c821b374d3 · outbound

This paper cites ChatGPT , 2025.

Decoupling Task-Solving and Output Formatting in LLM Generation ChatGPT , 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.554687Z

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Observation 9d57a781-5068-4cec-97f5-21e261e28d60 · outbound

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

Decoupling Task-Solving and Output Formatting in LLM Generation Training language models to follow instructions with human feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.558378Z

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Observation 5a6839e6-4658-44d7-a60d-2cff956cb3ee · outbound

This paper cites Learning Dynamics of LLM Finetuning.

Decoupling Task-Solving and Output Formatting in LLM Generation Learning Dynamics of LLM Finetuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.561553Z

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Observation e4d99be0-68f8-4838-980d-6cf913bc0936 · outbound

This paper cites Self-diagnosis and self-debiasing: A proposal for reducing corpus-based bias in nlp.

Decoupling Task-Solving and Output Formatting in LLM Generation Self-diagnosis and self-debiasing: A proposal for reducing corpus-based bias in nlp

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.565095Z

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Observation ea149cd8-3985-4e73-972f-900d3241831c · outbound

This paper cites Classifiers are Better Experts for Controllable Text Generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Classifiers are Better Experts for Controllable Text Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.568087Z

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Observation abf0d05b-2573-402d-9388-f78ee5bf9f97 · outbound

This paper cites Learning to summarize with human feedback.

Decoupling Task-Solving and Output Formatting in LLM Generation Learning to summarize with human feedback

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.571508Z

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Observation bf840499-4957-4a86-b4d1-dddad7c1cea0 · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

Decoupling Task-Solving and Output Formatting in LLM Generation Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.574828Z

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Observation 29073dcb-5c76-4a0a-9a81-44a927e79af3 · outbound

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

Decoupling Task-Solving and Output Formatting in LLM Generation Finetuned Language Models Are Zero-Shot Learners

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.578464Z

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Observation 530c731d-ba30-410f-b845-a59c34cef4a7 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Decoupling Task-Solving and Output Formatting in LLM Generation Chain-of-thought prompting elicits reasoning in large language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.581646Z

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Observation 2935ac1e-0a30-4829-9a14-fb1cf12d10bd · outbound

This paper cites Grace: gradient-guided controllable retrieval for augmenting attribute-based text generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Grace: gradient-guided controllable retrieval for augmenting attribute-based text generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.584801Z

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Observation 3b820870-37f7-4edd-b6c3-ff8c64d1f98c · outbound

This paper cites Efficient Guided Generation for Large Language Models.

Decoupling Task-Solving and Output Formatting in LLM Generation Efficient Guided Generation for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.587845Z

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Observation 3ab7ef1d-a55b-4e04-8ae3-1beaf3966d27 · outbound

This paper cites Qwen3 Technical Report.

Decoupling Task-Solving and Output Formatting in LLM Generation Qwen3 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.591363Z

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Observation 54b61a4e-e235-4778-8aba-79cf41e6934b · outbound

This paper cites Fudge: Controlled text generation with future discriminators.

Decoupling Task-Solving and Output Formatting in LLM Generation Fudge: Controlled text generation with future discriminators

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.595091Z

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Observation 972c0593-7cbd-493e-85e9-6069423cb1fe · outbound

This paper cites Qwen2.5 Technical Report.

Decoupling Task-Solving and Output Formatting in LLM Generation Qwen2.5 Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.598068Z

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Observation 3f6413e9-e456-439f-8d24-c676daa6be21 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Decoupling Task-Solving and Output Formatting in LLM Generation Tree of thoughts: Deliberate problem solving with large language models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.601278Z

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Observation 6ea85584-ac35-409b-991d-f611d5c476fb · outbound

This paper cites Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.605274Z

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Observation 29e41ce4-2829-4ae3-a1f1-0d61f05c98d7 · outbound

This paper cites Token-level direct preference optimization.

Decoupling Task-Solving and Output Formatting in LLM Generation Token-level direct preference optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.609230Z

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Observation 9895e1c1-b553-4f17-8232-072b7804d208 · outbound

This paper cites Tractable Control for Autoregressive Language Generation.

Decoupling Task-Solving and Output Formatting in LLM Generation Tractable Control for Autoregressive Language Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.614494Z

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Observation 57147977-1af5-4711-9029-857fd15cd954 · outbound

This paper cites Adaptable Logical Control for Large Language Models.

Decoupling Task-Solving and Output Formatting in LLM Generation Adaptable Logical Control for Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.617798Z

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Observation 6e9af983-0f52-4852-9bea-04149c8060fd · outbound

This paper cites @esa (Ref.

Decoupling Task-Solving and Output Formatting in LLM Generation @esa (Ref

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.621075Z

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Observation 491f25b9-4693-4f54-8fad-c3b1ce60c472 · outbound

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Decoupling Task-Solving and Output Formatting in LLM Generation Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.625395Z

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Observation 4415bd56-e3b0-4750-8c0f-40104134de6d · outbound

This paper cites However, as prompts grow more complex, models often struggle to adhere to all instructions.

Decoupling Task-Solving and Output Formatting in LLM Generation However, as prompts grow more complex, models often struggle to adhere to all instructions

Reference 47

Resolution: malformed identifier; no resolver link, observed 2026-08-04T12:12:57.629384Z

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Pith citing papers

Observation 930c96fe-4d23-4cfb-908b-bf7649922204 · inbound

The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs cites this paper.

The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs Decoupling Task-Solving and Output Formatting in LLM Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-13T02:17:11.906474Z

Source-reported events for the cited work

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Observation 7132d8b1-7ac0-481f-a1da-6a2eb60643bc · inbound

It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers cites this paper.

It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers Decoupling Task-Solving and Output Formatting in LLM Generation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-13T02:17:11.906474Z

Source-reported events for the cited work

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Observation 0cae3187-500e-4785-953f-c7f9269ec416 · inbound

Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation cites this paper.

Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation Decoupling Task-Solving and Output Formatting in LLM Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-13T02:17:11.906474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02966e8f-d84d-4b27-9f82-5ee53f99af03 · inbound

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints cites this paper.

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints Decoupling Task-Solving and Output Formatting in LLM Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-13T02:17:11.906474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.