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Paper Citation Record · LEDGER

Brevity is the soul of sustainability: Characterizing LLM response lengths

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.08686.

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

pith.paper-citation-record.v1
2506.08686 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:09:11.707260Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb3eb9e2-5058-4f63-a5a1-62764b41a49c · outbound

This paper cites online" 'onlinestring :=.

Brevity is the soul of sustainability: Characterizing LLM response lengths online" 'onlinestring :=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24b3ac4e-cf2b-4762-b6e9-99edca7e9778 · outbound

This paper cites write newline.

Brevity is the soul of sustainability: Characterizing LLM response lengths write newline

Reference 2

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source=arxiv_source observed=2026-08-07T05:09:08.575609Z digest=sha256:7bfc14d7db8e7fac590880b104d4deff99828257d1c8df2f58660b40805e6ec3

Observation a503b250-5241-4512-bc82-d1c0c7cf3806 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:09:08.644144Z digest=sha256:cc8682bb5e993a108909d760f2a58e20161bc897ac55bdbc11bfb746e3f50485

Observation 02157bf3-e5fa-4322-8315-d3b2f6bd42bd · outbound

This paper cites Longformer: The Long-Document Transformer.

Brevity is the soul of sustainability: Characterizing LLM response lengths Longformer: The Long-Document Transformer

Reference 4

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source=arxiv_source observed=2026-08-07T05:09:08.700381Z digest=sha256:bc4b74afdd232a1d9cd1027259de1b02b38a6e6c8f310bea265086b181cff073

Observation 575cd076-7a02-4920-97f7-8a652f000fef · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:09:08.769248Z digest=sha256:1e78037c24b944882b55f339c4e99790e3a731fe0832a5d26b24ec0c3e52f55a

Observation 418cbba1-5a2c-4b31-913d-be00732f2fb0 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Brevity is the soul of sustainability: Characterizing LLM response lengths FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 6

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source=arxiv_source observed=2026-08-07T05:09:08.850227Z digest=sha256:fd4cd61e45960a4a65427bc0ef2892bfceced44f88970b6ecf7efd1d98603a68

Observation f257f35f-7b49-4e8a-b71f-df2eed113e58 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:08.975441Z digest=sha256:ef28fa56a78539d9601b99c88d44390bba08f636efb31767569e7ba27be45303

Observation af2d60b7-658c-4e28-9b0b-a5d941f92b3e · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.055957Z digest=sha256:0da2f6314a4a194452ef60d7ba54a28cd1c096083bee7f4c890fee889208e509

Observation 46696565-1b48-449b-9437-ad3174b6c1fc · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-07T05:09:09.115370Z digest=sha256:e4cd95cacb6d57a9b0a6cdfc6f8f139cfbc2ea8edd7da8c2c47ce2371552abd8

Observation b79c3b21-bf4a-44ab-87f4-541ff9b6f684 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.184605Z digest=sha256:d6cb1a13440b4f10ecce867004811a5e659b22321692a1c1584994e867ff4e02

Observation 5244b689-1588-4da0-be1d-1ccd937abbcf · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fd1ee129-cab0-4da3-81c8-c78ba3af7e1d · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Brevity is the soul of sustainability: Characterizing LLM response lengths GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 12

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source=arxiv_source observed=2026-08-07T05:09:09.335511Z digest=sha256:638a01a5d1e96b87bf8568a09a4b2e84c4121f64953f7d11f9a612eb8e8d1891

Observation 73ea180f-18a2-47a9-9adc-807ac2cd8c68 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.410220Z digest=sha256:8fb01da78fab9b1e19517c6152a3ffd21f72ce93abfc343c899d13fc1304fbd3

Observation 6840940c-6505-4aca-9e5b-4ee8686c91d1 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:09:09.488423Z digest=sha256:7819f7e0d3030c8d724c4a36eefd5887ec18a1ec7035a7cecdf8ad4fd54a9a84

Observation f763bb54-7f76-40f6-8c5f-f3388d8ded30 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.573073Z digest=sha256:6a1cfc468cb94e77562d0a32ff61907da2a7d71757094609a4b0904b34268750

Observation b22fdf2f-2736-4930-a9f5-d6438f68cbe7 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Brevity is the soul of sustainability: Characterizing LLM response lengths LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 16

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no resolver link, observed 2026-08-07T05:09:09.648283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.648283Z digest=sha256:201762766fe33b9b47328be6e1d8a5e314739eecf289a727c63064a7f762dc89

Observation a5fe18b3-05d5-41b0-8f01-656d4524be81 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

Brevity is the soul of sustainability: Characterizing LLM response lengths LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

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no resolver link, observed 2026-08-07T05:09:09.741747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.741747Z digest=sha256:a13f7c510f3bc6c12a777b5dc247862745bdc5d5a8f589c5300f69b9d50ae71c

Observation f667e7f7-fe01-4512-b387-626578d868b1 · outbound

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

Brevity is the soul of sustainability: Characterizing LLM response lengths CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.831620Z digest=sha256:b3d777e37009d08a215c36c22234bbd9e0de68b165f7c923d66f9e0b3f3dbd73

Observation 66749a36-5ce3-4563-8b63-ea425916285a · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-07T05:09:09.938500Z digest=sha256:ae25ed75c4dee2327f5283176bbd9b2529fb106403903c090d48de8c0e9fba22

Observation 915da4d8-eda5-4d67-b385-c0a7b3d9b015 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-07T05:09:10.014978Z digest=sha256:344b4964efbea01a5e40e31f9b3ed4c8423ee73038a93220ce40775b42237487

Observation 5ba6f68f-ec98-49ff-9484-e695b37eabec · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-07T05:09:13.750334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 69d3123c-a678-47a2-8dc7-17e59ac91946 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 22

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Unavailable: canonical work link unavailable.

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Observation f24592ba-6271-429b-b66b-56c73e1be5d8 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 23

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Observation d610b737-643f-4a52-ab19-ed5811e1f168 · outbound

This paper cites Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference.

Brevity is the soul of sustainability: Characterizing LLM response lengths Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference

Reference 24

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Observation 708de79a-eae5-4853-b487-4359f4c84dfa · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-07T05:09:13.541388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 55c3572d-b003-4ce6-99c2-bfd3319089ba · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-07T05:09:13.293321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d8de690d-f7ff-4b87-bf51-8f11893e95c1 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Brevity is the soul of sustainability: Characterizing LLM response lengths SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 27

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source=arxiv_source observed=2026-08-07T05:09:10.578880Z digest=sha256:d2618c8acfa05dde65db2949be4eced05abe395c4d11bd493a7f0d2f9ca3c0b5

Observation 7f993549-418a-426e-9d74-37c39bf78470 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Brevity is the soul of sustainability: Characterizing LLM response lengths MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 28

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no resolver link, observed 2026-08-07T05:09:10.655047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86b886ee-5ce5-4de2-a265-8375555332c4 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-07T05:09:10.755657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:10.755657Z digest=sha256:c8d0b3b9872452f62c76e92a40f6aca7eaf5a0136a387ccb46a05f80ef410919

Observation 88e9f866-b5f3-476b-b572-4990d596d58b · outbound

This paper cites Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models.

Brevity is the soul of sustainability: Characterizing LLM response lengths Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models

Reference 30

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no resolver link, observed 2026-08-07T05:09:10.858236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:10.858236Z digest=sha256:d87fa679ed0e82ce1626a15785d5d6ad9b82e5df505d6e0bd5c8190733a2c03d

Observation dc66c43f-6e5f-4ec2-a714-5f6bf1e1a73d · outbound

This paper cites Cache & Distil: Optimising API Calls to Large Language Models.

Brevity is the soul of sustainability: Characterizing LLM response lengths Cache & Distil: Optimising API Calls to Large Language Models

Reference 31

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no resolver link, observed 2026-08-07T05:09:10.941521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:10.941521Z digest=sha256:66c94e07d0d1daaa49de51912b9889e56b34f1bc457e08d5b4ccd04a176cc0d1

Observation f1457a5c-b33c-4ba2-900d-ff71a1607c7e · outbound

This paper cites Embedding Recycling for Language Models.

Brevity is the soul of sustainability: Characterizing LLM response lengths Embedding Recycling for Language Models

Reference 32

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation abc06ef2-c6ea-4cfa-b445-50689869f3a1 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-07T05:09:13.079797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8a641ccc-da50-4813-97ce-1f4e53981449 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-07T05:09:12.862117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d507ed32-0dc3-4897-99f5-69487eea9eca · outbound

This paper cites Reinforcement Learning for LLM Post-Training: A Survey.

Brevity is the soul of sustainability: Characterizing LLM response lengths Reinforcement Learning for LLM Post-Training: A Survey

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:11.331229Z digest=sha256:544f0b7d753254a442da1b25ddeb8f3b2004f53f21fb427f17144aa4060bbf56

Observation 590cdade-68ce-4e4b-a4e9-ef0961c6ac6c · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-07T05:09:12.674626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:09:11.430770Z digest=sha256:ebd7da3669fe80921cb8e27776403090babfa51d1c90d9577dd87077a47cb0a1

Observation 2acd8566-f7d0-4511-8b2e-d2a0aac82adb · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:11.512160Z digest=sha256:312138f5fba2885e564de759a06e55e9b95a2f8e525b35c2b453d348dfddf5f4

Observation 016ce8be-a049-4c84-aab4-001a656c9e04 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 38

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verified exact
doi, observed 2026-08-07T05:09:11.921048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:09:11.607269Z digest=sha256:78a03950204e0b029ea6f0e6100ff22efa28699bface495234f2caccd37ffe7c

Observation bc5b6645-7790-49e5-932c-8051e1603ad9 · outbound

This paper cites an unresolved cited work.

Brevity is the soul of sustainability: Characterizing LLM response lengths Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:12.462011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:09:11.707260Z digest=sha256:8cac061551f7266668dc588fa522be5b3b44c93956fb35a1a003c21f8da741b0

Pith citing papers

No inbound Pith citation observations are available.