Paper Citation Record · LEDGER

Compressing Context to Enhance Inference Efficiency of Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2310.06201.

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

pith.paper-citation-record.v1
2310.06201 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:57:27.555568Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b9fa41b1-3d64-4ed9-a446-75585488da54 · inbound

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models cites this paper.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.003953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a3dc63c-b151-4cc7-9af2-8ce3db85edf4 · inbound

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing cites this paper.

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:27.555568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647d7678-7a86-402e-8186-d26d665bdc8b · inbound

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness cites this paper.

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:47:03.921212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c550325-ec6b-4d9e-8c9f-57b8d7b985d2 · inbound

ICPC: In-context Prompt Compression with Faster Inference cites this paper.

ICPC: In-context Prompt Compression with Faster Inference Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:28:06.875515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b512612a-43a3-4214-a307-fe42a9e6f753 · inbound

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG cites this paper.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.855472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e762300c-56cb-470c-8ddd-0dfcd0074f16 · inbound

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning cites this paper.

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:11.104966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e8a708-eacd-4eca-ad52-556624cb6ee2 · inbound

Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference cites this paper.

Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:36.700047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1aa0ade-cbc0-4d9f-8a4d-5969cbca6a80 · inbound

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation cites this paper.

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T11:11:17.718608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4276e16-3d46-43a7-9d5f-5370fd66cdc7 · inbound

END: Early Noise Dropping for Efficient and Effective Context Denoising cites this paper.

END: Early Noise Dropping for Efficient and Effective Context Denoising Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:47:26.375414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9762229-6183-4939-84af-e95d1a7080a4 · inbound

SELF: Self-Extend the Context Length With Logistic Growth Function cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:13.702174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a81d76-d8bd-4a84-9bf4-cf5846e00336 · inbound

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning cites this paper.

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:57.119248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9389a32-9a8f-4394-80d8-d56596af658e · inbound

Not All Tokens Are What You Need In Thinking cites this paper.

Not All Tokens Are What You Need In Thinking Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:13.233710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c65d74-f6c6-43ae-b1db-8229c215db9e · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:25.308833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8677bee6-8834-4439-a1f5-446277b5db5b · inbound

SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling cites this paper.

SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:05.895555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72798ca7-7b83-42dd-bb49-303502252741 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:21.145644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aaffdde-9c2a-4f8a-a59a-a68c8f461a62 · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:17:24.596679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5cffd25f-1e54-4578-908e-73972387f4da · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:10.670088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b930e59-2125-465f-b794-e3aeb268838d · inbound

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation cites this paper.

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T04:42:13.777066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217e71d3-e24b-49c5-9cdb-d4fd9cc2a58f · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:11.497184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6296cb01-b99c-4d06-86cf-8644c465249e · inbound

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs cites this paper.

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:50:50.579881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74198f6c-c032-41b1-bf6b-4daf1fbb3c3e · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:00:03.751926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4567ba7-88cf-45fe-ba8e-27422d134358 · inbound

TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments cites this paper.

TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:07.335756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a41f3010-93a6-4af1-9d0c-49d15e7f096b · inbound

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts cites this paper.

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:50:57.544515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines cites this paper.

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 2026-08-11T06:34:44.6726+00:00.

Observation 96d9f422-d9c8-4629-a3ae-2c082352b5eb · inbound

Information-Aware KV Cache Compression for Long Reasoning cites this paper.

Information-Aware KV Cache Compression for Long Reasoning Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:49:51.571036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac4861da-1648-400f-aed2-0ba235d11f16 · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T23:46:24.903218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ded1dd3-01ce-40b2-931a-242a03ec3377 · inbound

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning cites this paper.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T14:32:14.984908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41aa66a9-b522-465a-a7b9-aff427fb6a67 · inbound

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

Hierarchical Reranking for Scalable Financial RAG System Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T06:25:06.342561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.