Paper Citation Record · LEDGER

ARC-Encoder: learning compressed text representations for large language models

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2510.20535.

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

pith.paper-citation-record.v1
2510.20535 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:28:53.958603Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:36:54.699174Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:31.581995Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy0
unresolved51
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77afc9d7-327d-46af-8153-0ac2552393b7 · outbound

This paper cites Beat the ai: Investigating adversarial human annotation for reading comprehension.

ARC-Encoder: learning compressed text representations for large language models Beat the ai: Investigating adversarial human annotation for reading comprehension

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:47.193225Z

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Observation 9af977eb-6ea8-4957-a1df-7f4942c3cbd6 · outbound

This paper cites Language Models are Few-Shot Learners.

ARC-Encoder: learning compressed text representations for large language models Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:47.326603Z

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Observation 2b814d7e-ba47-4d6f-affe-1d049a9f8e45 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

ARC-Encoder: learning compressed text representations for large language models Extending Context Window of Large Language Models via Positional Interpolation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:47.439715Z

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Observation 469d3baa-d8d4-427e-9626-2067404ba2cc · outbound

This paper cites D ialog S um: A real-life scenario dialogue summarization dataset.

ARC-Encoder: learning compressed text representations for large language models D ialog S um: A real-life scenario dialogue summarization dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:47.592901Z

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Observation d64f800f-9fe5-4404-a8a6-585e87bd8265 · outbound

This paper cites xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token.

ARC-Encoder: learning compressed text representations for large language models xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:47.733664Z

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Observation 05398555-4748-4828-8364-6fd1694f011c · outbound

This paper cites W iki S um: Coherent summarization dataset for efficient human-evaluation.

ARC-Encoder: learning compressed text representations for large language models W iki S um: Coherent summarization dataset for efficient human-evaluation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:47.850975Z

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Observation ac79817e-1ccf-4cce-a649-cf79bbde74d0 · outbound

This paper cites P ara SCI : A large scientific paraphrase dataset for longer paraphrase generation.

ARC-Encoder: learning compressed text representations for large language models P ara SCI : A large scientific paraphrase dataset for longer paraphrase generation

Reference 7

Resolution: verified exact; doi, observed 2026-08-04T08:33:29.961291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2ed31a2-0c8c-4c52-ac70-e8015cca1e74 · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

ARC-Encoder: learning compressed text representations for large language models DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.179058Z

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Observation 67ca3628-e56b-434a-ab5b-079d6a26a120 · outbound

This paper cites Cartridges: Lightweight and general-purpose long context representations via self-study.

ARC-Encoder: learning compressed text representations for large language models Cartridges: Lightweight and general-purpose long context representations via self-study

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.311843Z

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Observation 47ab78b7-f250-43db-8f87-25e040e2277b · outbound

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

ARC-Encoder: learning compressed text representations for large language models In-context Autoencoder for Context Compression in a Large Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.415613Z

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Observation 480576b9-0f08-4d63-8e47-ccab5bab20f0 · outbound

This paper cites SAMS um corpus: A human-annotated dialogue dataset for abstractive summarization.

ARC-Encoder: learning compressed text representations for large language models SAMS um corpus: A human-annotated dialogue dataset for abstractive summarization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.527275Z

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Observation a273f037-b6cc-42d9-aff2-7ef0d5a82a20 · outbound

This paper cites The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation.

ARC-Encoder: learning compressed text representations for large language models The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.642822Z

Source-reported events for the cited work

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Observation 585ead68-8566-4cd0-a220-6c88a63c35c0 · outbound

This paper cites The Llama 3 Herd of Models.

ARC-Encoder: learning compressed text representations for large language models The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.745468Z

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Observation e7d878b9-bccc-40a3-a65e-99dffa820486 · outbound

This paper cites an unresolved cited work.

ARC-Encoder: learning compressed text representations for large language models Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:48.880119Z

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Observation 812d1cc3-8384-4280-a6b5-40eb112de0b3 · outbound

This paper cites RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models.

ARC-Encoder: learning compressed text representations for large language models RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.019731Z

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Observation 4514d89f-5b4a-472b-aa8a-5a2651099980 · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models.

ARC-Encoder: learning compressed text representations for large language models Atlas: Few-shot Learning with Retrieval Augmented Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.124274Z

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Observation 2fff8202-5c09-48be-8c33-758c80ae54ca · outbound

This paper cites Product Quantization for Nearest Neighbor Search.

ARC-Encoder: learning compressed text representations for large language models Product Quantization for Nearest Neighbor Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.240662Z

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Observation fea60645-34e3-4280-aee2-d58eec7f5e39 · outbound

This paper cites Mistral 7B.

ARC-Encoder: learning compressed text representations for large language models Mistral 7B

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.411439Z

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Observation 9fd21ffa-571e-4863-abbb-a76960a04134 · outbound

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

ARC-Encoder: learning compressed text representations for large language models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.536406Z

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Observation 0e984759-51b5-4418-a3da-3c0416c535c5 · outbound

This paper cites F reebase QA : A new factoid QA data set matching trivia-style question-answer pairs with F reebase.

ARC-Encoder: learning compressed text representations for large language models F reebase QA : A new factoid QA data set matching trivia-style question-answer pairs with F reebase

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.668756Z

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Observation 93a82ff8-22ee-4d9b-98a3-9d04acb3af22 · outbound

This paper cites an unresolved cited work.

ARC-Encoder: learning compressed text representations for large language models Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.806892Z

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Observation 78a3125f-1577-4957-9af3-0f6e5ea0db1c · outbound

This paper cites T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension.

ARC-Encoder: learning compressed text representations for large language models T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.003727Z

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Unavailable: canonical work link unavailable.

Observation 47f6454c-b8a3-4a83-85b0-e449cf2e31ca · outbound

This paper cites Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity.

ARC-Encoder: learning compressed text representations for large language models Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.138327Z

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Unavailable: canonical work link unavailable.

Observation 63c3ba3d-e916-4fb3-b0fe-be1d5e4e6823 · outbound

This paper cites Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

ARC-Encoder: learning compressed text representations for large language models Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.308857Z

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Unavailable: canonical work link unavailable.

Observation 3fbca933-978e-4541-a384-7c4c7eacbb72 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

ARC-Encoder: learning compressed text representations for large language models NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.468192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282f5508-4dd0-4e46-8c34-5b6848b9109f · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

ARC-Encoder: learning compressed text representations for large language models Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.606035Z

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Unavailable: canonical work link unavailable.

Observation 75e6aed7-41dd-4c9d-aa77-3f89fe383757 · outbound

This paper cites Shifting ai efficiency from model-centric to data-centric compression, 2025.

ARC-Encoder: learning compressed text representations for large language models Shifting ai efficiency from model-centric to data-centric compression, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.721418Z

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Observation 81a86141-a389-4d1c-8270-50e89069b665 · outbound

This paper cites Decoupled Weight Decay Regularization.

ARC-Encoder: learning compressed text representations for large language models Decoupled Weight Decay Regularization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.825031Z

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Observation 37043d6e-f6d1-40a7-a6bc-c05d4d732e8d · outbound

This paper cites PISCO: Pretty Simple Compression for Retrieval-Augmented Generation.

ARC-Encoder: learning compressed text representations for large language models PISCO: Pretty Simple Compression for Retrieval-Augmented Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:50.987062Z

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Observation ab620ee9-c45c-42f5-8b55-0a48a001287a · outbound

This paper cites Oscar: Online soft compression and reranking, 2025 b.

ARC-Encoder: learning compressed text representations for large language models Oscar: Online soft compression and reranking, 2025 b

Reference 30

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Observation 815c4e34-fc9e-4245-a950-d35d87cedc9e · outbound

This paper cites Learning to Compress Prompts with Gist Tokens.

ARC-Encoder: learning compressed text representations for large language models Learning to Compress Prompts with Gist Tokens

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:51.206578Z

Source-reported events for the cited work

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Observation e80f9306-3e5a-4923-b92c-127a2c897a57 · outbound

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

ARC-Encoder: learning compressed text representations for large language models MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:51.328933Z

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Unavailable: canonical work link unavailable.

Observation d6b81bd0-a923-4fa5-9354-92f5e1a34ea4 · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

ARC-Encoder: learning compressed text representations for large language models LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:51.479132Z

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Unavailable: canonical work link unavailable.

Observation 5105116b-8f9a-40e4-b370-78d7fa947479 · outbound

This paper cites KILT: a Benchmark for Knowledge Intensive Language Tasks.

ARC-Encoder: learning compressed text representations for large language models KILT: a Benchmark for Knowledge Intensive Language Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:51.584949Z

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Observation a47257d8-5a90-4870-aead-a7dd9d5bb1fd · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

ARC-Encoder: learning compressed text representations for large language models Compressive Transformers for Long-Range Sequence Modelling

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:51.749218Z

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Observation 12ea5903-b5a8-46f7-af95-f04daa3be81c · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

ARC-Encoder: learning compressed text representations for large language models SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:51.911951Z

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Observation c392bb0b-749e-42f0-9d93-74d738c55ac2 · outbound

This paper cites ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding.

ARC-Encoder: learning compressed text representations for large language models ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:52.073439Z

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Observation 626d3f5b-3edf-4104-a651-2aa5bd4bef49 · outbound

This paper cites ASQA: Factoid Questions Meet Long-Form Answers.

ARC-Encoder: learning compressed text representations for large language models ASQA: Factoid Questions Meet Long-Form Answers

Reference 38

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Observation d0e00654-8943-4713-b191-4b2155dbc290 · outbound

This paper cites Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks.

ARC-Encoder: learning compressed text representations for large language models Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks

Reference 39

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Observation f2ec37d3-6603-4905-ac57-39e11fe0d8f8 · outbound

This paper cites Gmsa: Enhancing context compression via group merging and layer semantic alignment, 2025.

ARC-Encoder: learning compressed text representations for large language models Gmsa: Enhancing context compression via group merging and layer semantic alignment, 2025

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:52.371154Z

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Observation 65c88820-912f-4ddd-9b9e-4559d0d1bf43 · outbound

This paper cites Efficient Transformers: A Survey.

ARC-Encoder: learning compressed text representations for large language models Efficient Transformers: A Survey

Reference 41

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Observation cc122789-2c81-4677-9937-6b65b5ae0616 · outbound

This paper cites Gemma 3 Technical Report.

ARC-Encoder: learning compressed text representations for large language models Gemma 3 Technical Report

Reference 42

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Observation f3bfec3d-c494-4413-bfc3-f4ce17ff5dfa · outbound

This paper cites Llama‑2‑7B‑32K‑Instruct — and fine‑tuning for Llama‑2 models with Together API.

ARC-Encoder: learning compressed text representations for large language models Llama‑2‑7B‑32K‑Instruct — and fine‑tuning for Llama‑2 models with Together API

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:52.775526Z

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Observation e5ad97da-d50a-453a-89d1-dac6a2566838 · outbound

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ARC-Encoder: learning compressed text representations for large language models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:52.903835Z

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Observation f9102c28-8507-4826-bf39-f4ac7ac18b18 · outbound

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ARC-Encoder: learning compressed text representations for large language models Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:53.069755Z

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Observation e1557152-3ae7-46f0-850a-4cbbd1f3642e · outbound

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ARC-Encoder: learning compressed text representations for large language models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:53.163411Z

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Observation da34a77e-bc4a-4689-a26b-e27d97d63bf8 · outbound

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ARC-Encoder: learning compressed text representations for large language models Long-Context Language Modeling with Parallel Context Encoding

Reference 47

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Observation 7974651e-7f1f-4afa-a85c-dd1f6d2f6c15 · outbound

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ARC-Encoder: learning compressed text representations for large language models Encoder-Decoder Gemma: Improving the Quality-Efficiency Trade-Off via Adaptation

Reference 48

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Observation caf3d5de-563d-4141-97a5-a8b1b6dd7733 · outbound

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ARC-Encoder: learning compressed text representations for large language models Benchmarking Large Language Models for News Summarization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:53.553412Z

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Observation c6e2a893-b68a-4249-a67a-c511c4e9918c · outbound

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ARC-Encoder: learning compressed text representations for large language models @esa (Ref

Reference 50

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Observation c9e9f6b1-cda7-4bf7-bfdb-c3392be21b9c · outbound

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ARC-Encoder: learning compressed text representations for large language models Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:53.849455Z

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Observation 95593cf6-c6b0-4669-a43f-e59832a1f247 · outbound

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ARC-Encoder: learning compressed text representations for large language models Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:53.958603Z

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Pith citing papers

Observation 24e5a228-b79f-40c8-8e5c-7594cab32019 · inbound

Efficient Listwise Reranking with Compressed Document Representations cites this paper.

Efficient Listwise Reranking with Compressed Document Representations ARC-Encoder: learning compressed text representations for large language models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-30T02:04:24.799755Z

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Observation 3ce40eee-963f-45d8-a810-3d48fcd74522 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale ARC-Encoder: learning compressed text representations for large language models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-30T02:04:24.799755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.