Paper Citation Record · LEDGER

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines

As of 23 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.03739.

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

pith.paper-citation-record.v1
2606.03739 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:32:14.077931Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

37 of 37 outbound references displayed

verified exact5
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba90d938-1e8c-4cc0-a62a-1d0e7ff82618 · outbound

This paper cites Rate distortion theory: A mathematical basis for data compression.Prentice-Hall, 1971.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Rate distortion theory: A mathematical basis for data compression.Prentice-Hall, 1971

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cbcbf6d-0507-488c-b09c-dcbe0b6fefeb · outbound

This paper cites What is the state of neural network pruning?Proceedings of Machine Learning and Systems, 2, 2020.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines What is the state of neural network pruning?Proceedings of Machine Learning and Systems, 2, 2020

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Observation 54cea951-b0d9-4676-bd8d-7680af064a75 · outbound

This paper cites Weitere studien über das wärmegleichgewicht unter gasmolekülen.Sitzungs- berichte der Kaiserlichen Akademie der Wissenschaften, 66:275–370, 1872.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Weitere studien über das wärmegleichgewicht unter gasmolekülen.Sitzungs- berichte der Kaiserlichen Akademie der Wissenschaften, 66:275–370, 1872

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Unavailable: canonical work link unavailable.

Observation 2ca56a52-2225-4d4d-8389-a073b4eca37d · outbound

This paper cites Brevity constraints reverse performance hierarchies in language models.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Brevity constraints reverse performance hierarchies in language models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.852639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f2ba5f50-219b-461d-9922-b643ba6b4f31 · outbound

This paper cites Caveman: Concise output mode for claude code.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Caveman: Concise output mode for claude code

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15cb51ec-ba29-48f1-854a-f1d79a7774be · outbound

This paper cites Natural language autoencoders.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Natural language autoencoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Unavailable: canonical work link unavailable.

Observation a6fa23ed-85ab-4036-974e-e4dcfc1d3a9b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.860464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef50f987-8c0b-43c4-9f28-5d9a2e3fef63 · outbound

This paper cites Adapting language models to compress contexts.EMNLP, 2023.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Adapting language models to compress contexts.EMNLP, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10658a7a-a1ba-4338-8ae0-16c8e596cf88 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Training Verifiers to Solve Math Word Problems

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.845055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4df089e-7989-4750-9811-bec9e9acf6fe · outbound

This paper cites Wiley-Interscience, 2nd edition, 2006.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Wiley-Interscience, 2nd edition, 2006

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9425b18-7802-4899-90c8-ba2e6975fdae · outbound

This paper cites Llm.int8(): 8-bit matrix multiplication for transformers at scale.Advances in Neural Information Processing Systems, 35, 2022.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Llm.int8(): 8-bit matrix multiplication for transformers at scale.Advances in Neural Information Processing Systems, 35, 2022

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Observation f0f2afd1-fb44-4bbc-b489-9c415bc62091 · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers.ICLR, 2023.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Gptq: Accurate post-training quantization for generative pre-trained transformers.ICLR, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6320c858-035a-4b32-93e0-28f5500cbe87 · outbound

This paper cites Model tells you what to discard: Adaptive kv cache compression for llms.ICLR, 2024.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Model tells you what to discard: Adaptive kv cache compression for llms.ICLR, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd6a8bd6-ff06-44d6-ac4c-bab5c5546d50 · outbound

This paper cites In-contextautoencoder for context compression in a large language model.ICLR, 2024.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines In-contextautoencoder for context compression in a large language model.ICLR, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0501f133-3c1e-4df2-8bf4-ff28f3a8efa7 · outbound

This paper cites llama.cpp: Llm inference in c/c++.https: //github.com/ggml-org/llama.cpp, 2026.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines llama.cpp: Llm inference in c/c++.https: //github.com/ggml-org/llama.cpp, 2026

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 140d79f6-bd67-49af-9448-9c38a4e6d533 · outbound

This paper cites Learning both weights and connections for efficient neural networks.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Learning both weights and connections for efficient neural networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f47425-3b64-4319-8d0c-82412a10aac9 · outbound

This paper cites Measuring massive multitask language understanding.ICLR, 2021.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Measuring massive multitask language understanding.ICLR, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb9c75b-6374-4ee4-968f-01c0ae76771c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Distilling the Knowledge in a Neural Network

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.841101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c258a8f-b340-4938-8a24-64d34bbde838 · outbound

This paper cites Training compute-optimal large language models.Advances in Neural Information Processing Systems, 35, 2022.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Training compute-optimal large language models.Advances in Neural Information Processing Systems, 35, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

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Observation 98de3cc5-a73e-481b-89e5-c1964fa9d8e1 · outbound

This paper cites Information theory and statistical mechanics.Physical Review, 106(4):620–630, 1957.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Information theory and statistical mechanics.Physical Review, 106(4):620–630, 1957

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4515042-db72-446b-8927-f2f23962af92 · outbound

This paper cites Llmlingua: Compressing prompts for accelerated inference of large language models.EMNLP, 2023.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Llmlingua: Compressing prompts for accelerated inference of large language models.EMNLP, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b439e51a-6f1d-49cc-b970-5b1725f69971 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues?ICLR, 2024.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Swe-bench: Can language models resolve real-world github issues?ICLR, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2226e3c2-6906-4618-af89-231c8ae7b7e2 · outbound

This paper cites Pearson, 2nd edition, 2009.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Pearson, 2nd edition, 2009

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ab233d-d116-4cf3-b850-28999a28f415 · outbound

This paper cites Scaling Laws for Neural Language Models.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Scaling Laws for Neural Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.856276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e07787a-e3dd-40f3-bbcc-7ff40545632f · outbound

This paper cites Llm wiki: A second brain for llm agents.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Llm wiki: A second brain for llm agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Unavailable: canonical work link unavailable.

Observation 6c09fc64-d7ba-45e6-923d-d6b9a68c1da7 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33, 2020.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33, 2020

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 104866a3-739d-4f92-af58-6962970e8449 · outbound

This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:28.848812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5b61f73-ebb9-493f-8032-b8274111630d · outbound

This paper cites Guptaet al., arXiv e-prints (2025),Update with ac- tual MCIF reference., 2503.00000.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Guptaet al., arXiv e-prints (2025),Update with ac- tual MCIF reference., 2503.00000

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:28.864244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8e486a5-2627-4927-ad4d-b3597254c785 · outbound

This paper cites Mempalace: Local-first ai memory system.https://github.com/ MemPalace/mempalace, 2026.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Mempalace: Local-first ai memory system.https://github.com/ MemPalace/mempalace, 2026

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26bd2f02-7b90-4219-bdb4-ad71b732138b · outbound

This paper cites Learning to compress prompts with gist tokens.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Learning to compress prompts with gist tokens

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Unavailable: canonical work link unavailable.

Observation 32cc8e33-aae7-42f9-a1ed-6bcda7fcdd27 · outbound

This paper cites Ollama: Get up and running with large language models locally.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Ollama: Get up and running with large language models locally

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Unavailable: canonical work link unavailable.

Observation b6fbf396-ca02-4897-a662-94d0dc561d32 · outbound

This paper cites Graphify: Codebase knowledge graph via tree-sitter.https://github.com/ lucasrosati/claude-code-memory-setup, 2026.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Graphify: Codebase knowledge graph via tree-sitter.https://github.com/ lucasrosati/claude-code-memory-setup, 2026

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48db7e7-1ebe-4f70-a55c-c991f3d481ec · outbound

This paper cites Stop wasting tokens: A 71.5×cheaper claude code workflow.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Stop wasting tokens: A 71.5×cheaper claude code workflow

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414013c9-b3e6-4ecb-9643-db94834dec7f · outbound

This paper cites A mathematical theory of communication.The Bell System Technical Journal, 27(3):379–423, 1948.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines A mathematical theory of communication.The Bell System Technical Journal, 27(3):379–423, 1948

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4596c037-4855-44fa-a9b1-af887e77e10f · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb0952a-ad73-4825-860a-6ee9e60dc60e · outbound

This paper cites React: Synergizing reasoning and acting in language models.ICLR, 2023.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines React: Synergizing reasoning and acting in language models.ICLR, 2023

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54652f56-9813-49f5-9b68-2607974a6584 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36, 2023.

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36, 2023

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T10:32:14.077931Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.