Paper Citation Record · LEDGER

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models

As of 5 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2409.01579.

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

pith.paper-citation-record.v1
2409.01579 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T21:06:59.776841Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:41:26.602888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:41:27.121095Z

Reference resolution

21 of 21 outbound references displayed

verified exact11
verified fuzzy3
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4accb298-c349-4325-9540-d181ab078875 · outbound

This paper cites " * write output.state after.block = add.period write newline.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models " * write output.state after.block = add.period write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:27.011148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8779297-a7ca-4fab-acae-55211b95aca7 · outbound

This paper cites write newline.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models write newline

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:27.002447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3722259-0507-4dd7-95bf-01fca6b8ecf7 · outbound

This paper cites an unresolved cited work.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-23T21:08:27.015843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93c4f770-5e00-42cd-90e3-230f5d130913 · outbound

This paper cites Adapting Language Models to Compress Contexts.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Adapting Language Models to Compress Contexts

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.015971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 34de368b-ac1c-4a4d-8274-cd98d2afd88e · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:08:25.996415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e76d4376-535c-4dea-8674-a604e6310fea · outbound

This paper cites In-context Autoencoder for Context Compression in a Large Language Model.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models In-context Autoencoder for Context Compression in a Large Language Model

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.037285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa620523-9032-4254-a76f-26595f8fd10f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T21:08:26.028916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d62097d5-08ce-41dd-9092-dada8793bd58 · outbound

This paper cites an unresolved cited work.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-23T21:08:27.013529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bec1097a-429a-4dc0-bea3-2c1bb52f6112 · outbound

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

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.041444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd5750f0-121a-468b-a66d-043396efb7bc · outbound

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

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.020672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cbc7c30e-95c5-42f1-b9ec-14c3242eacee · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T21:08:26.033009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb55e72b-3d3c-48a0-b407-74d82049332d · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Dense Passage Retrieval for Open-Domain Question Answering

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:08:26.000104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c4e6818-d46c-451d-af99-d7ca6e60cdae · outbound

This paper cites an unresolved cited work.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-23T21:08:27.018714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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

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

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 2026-08-05T06:32:48.257954+00:00.

Observation 098e1626-8f76-43ab-93c4-c8b59686e69d · outbound

This paper cites F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:27.007954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6288eaf3-98cf-4249-9f51-920eb652055a · outbound

This paper cites an unresolved cited work.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-23T21:08:27.005130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b802ec22-82d0-4c7d-a9fa-104af0f90944 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:08:26.024348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6647fe21-b4c5-4db4-b589-17e1f24fc61d · outbound

This paper cites Learning to Filter Context for Retrieval-Augmented Generation.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models Learning to Filter Context for Retrieval-Augmented Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.011761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e7ca953-fee2-4b95-bb7d-14c5ecdf1b9a · outbound

This paper cites RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.050052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 01ab9b9e-1a5c-4d29-b36f-9743bff7cc4c · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T21:08:26.008035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0850257d-ad70-4ea0-ba49-a10ac440a450 · outbound

This paper cites An information bottleneck perspective for effective noise filtering on retrieval-augmented generation.arXiv preprint arXiv:2406.01549.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models An information bottleneck perspective for effective noise filtering on retrieval-augmented generation.arXiv preprint arXiv:2406.01549

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.045670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation d01af78b-d27d-4c0e-81f7-ba23792bab3a · inbound

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data cites this paper.

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:41:27.273842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.