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Paper Citation Record · LEDGER

ICPC: In-context Prompt Compression with Faster Inference

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.01625.

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

pith.paper-citation-record.v1
2501.01625 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:28:06.924250Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

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  • unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7db0863-c7fb-44be-9f72-0b404a44dd9b · outbound

This paper cites GPT-4 Technical Report.

ICPC: In-context Prompt Compression with Faster Inference GPT-4 Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

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Observation d91e5bba-3d90-43e1-bfcf-e65f9d3bf099 · outbound

This paper cites Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

ICPC: In-context Prompt Compression with Faster Inference Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 2

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source=pdf_text observed=2026-08-10T22:28:06.840986Z digest=sha256:d168086ec12a1a12db33b5bd447a03834b2a9ccb4cbc8f473310848dedc12ade

Observation c4fce5a7-3fb2-46c2-b2df-cd0a49e377a1 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

ICPC: In-context Prompt Compression with Faster Inference Piqa: Reasoning about physical commonsense in natural language

Reference 3

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source=pdf_text observed=2026-08-10T22:28:06.844915Z digest=sha256:4abacd80e32af1d4f30bb35c827fab24009543151928332079b2417c59309052

Observation 2752e66c-57b6-4b01-b6f8-9c307ed36a70 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

ICPC: In-context Prompt Compression with Faster Inference Generating Long Sequences with Sparse Transformers

Reference 4

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source=pdf_text observed=2026-08-10T22:28:06.848223Z digest=sha256:7c7de97644886bf8aab3f1cd0837dd6dafe99a7651a8cbdfeb7fbe38d551a096

Observation 2ab5a22f-1c29-4695-9528-8a24c4b43123 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ICPC: In-context Prompt Compression with Faster Inference BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

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source=pdf_text observed=2026-08-10T22:28:06.852119Z digest=sha256:b63ae96afcd08bb3635269dc7c3987d237fda19866139dab24b74ee39e1744e0

Observation 4dc384f3-1c3f-4d25-af0d-1f0602cba73a · outbound

This paper cites A survey on large language models: Applications, challenges, limitations, and practical usage.

ICPC: In-context Prompt Compression with Faster Inference A survey on large language models: Applications, challenges, limitations, and practical usage

Reference 6

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source=pdf_text observed=2026-08-10T22:28:06.855781Z digest=sha256:f77b5161fb6b4b0ecaf768cd81c56427ec872f15f3b2299017b49c2e8af9e56c

Observation a3ea3ef7-0bd9-4d39-929d-16274402daa6 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

ICPC: In-context Prompt Compression with Faster Inference DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 7

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source=pdf_text observed=2026-08-10T22:28:06.859112Z digest=sha256:6589116d874d71b5fbe60eeca8320ce734c51a0fd45dd7c3e2b605c1f11f47a4

Observation baf11443-d5ea-4d59-b822-1cfcda6259e4 · outbound

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

ICPC: In-context Prompt Compression with Faster Inference LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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source=pdf_text observed=2026-08-10T22:28:06.862470Z digest=sha256:ce928de0ecf6a0ced18ca2550e898985ac6e4e69ce179f932699ea62d4178425

Observation 90647f40-be00-4558-85f3-3f2b7338f4c9 · outbound

This paper cites The distribution of the flora in the alpine zone.

ICPC: In-context Prompt Compression with Faster Inference The distribution of the flora in the alpine zone

Reference 9

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source=pdf_text observed=2026-08-10T22:28:06.865572Z digest=sha256:36907c4eb39d9bacff08a21b3e9d9a87e281f6eb18ff2f6b9f8c47b11e45614a

Observation 6ce6998c-ffb5-4818-9a47-1a7d84d19979 · outbound

This paper cites Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel.

ICPC: In-context Prompt Compression with Faster Inference Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T22:28:07.130922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5bae6feb-fab0-4d11-831e-ca9df87a51d8 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

ICPC: In-context Prompt Compression with Faster Inference ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 11

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source=pdf_text observed=2026-08-10T22:28:06.872216Z digest=sha256:0a5994791d112c6de5f76666a19a424cfde8d26f522526262ad1ac431051ed6b

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

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

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

Reference 12

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source=pdf_text observed=2026-08-10T22:28:06.875515Z digest=sha256:e17468527f1329083830330d1cc41c67128d6973653b248e28daba3792203cfd

Observation e8392a69-cc00-4091-b30d-6b8bb9197ce1 · outbound

This paper cites Prompt Compression for Large Language Models: A Survey.

ICPC: In-context Prompt Compression with Faster Inference Prompt Compression for Large Language Models: A Survey

Reference 13

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source=pdf_text observed=2026-08-10T22:28:06.878755Z digest=sha256:83bb7eafa69d724f30883a05de8233c250a81eeb97b23a7a4ea42fa841071974

Observation 41f6f62a-913a-49fa-8213-1430bf698593 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

ICPC: In-context Prompt Compression with Faster Inference Rouge: A package for automatic evaluation of summaries

Reference 14

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source=pdf_text observed=2026-08-10T22:28:06.881967Z digest=sha256:f4e216ca226dd3caf8afa3ff1c4431f0045e8882f4cec0cabfcde3bd5b32c96c

Observation 9042aad3-1166-417e-9763-aeb8745c2849 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

ICPC: In-context Prompt Compression with Faster Inference RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 15

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source=pdf_text observed=2026-08-10T22:28:06.884843Z digest=sha256:cf89d1572f08259e724688e028b4a6a9c0f7275cfab9e2a6957bf89baf0e40ed

Observation fa4bc757-ae56-4bee-8b41-475ea6961306 · outbound

This paper cites Large Language Models: A Survey.

ICPC: In-context Prompt Compression with Faster Inference Large Language Models: A Survey

Reference 16

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source=pdf_text observed=2026-08-10T22:28:06.888355Z digest=sha256:44f87424cf6f691d5a8495d0c3326d755d3bcf2834b8e6ba6ac2bf1fc467618f

Observation aae909aa-e211-46ff-810e-098d777f878f · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

ICPC: In-context Prompt Compression with Faster Inference Bleu: a method for automatic evaluation of machine translation

Reference 17

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source=pdf_text observed=2026-08-10T22:28:06.891662Z digest=sha256:b0bc155aab43d848523f35ed9227b8e9100ae002c0b9f586cf29742370f347e8

Observation fc5c1e00-41d7-4c94-b0d8-82b7a5abc5e5 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

ICPC: In-context Prompt Compression with Faster Inference Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 18

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Observation 8e940835-94cc-4219-8f41-f7d0fa7ce0ac · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

ICPC: In-context Prompt Compression with Faster Inference Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 19

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Observation a4850c13-39e5-4e4c-8ea5-9e176a3e650f · outbound

This paper cites Benefits and challenges of variable compression ratio (vcr).

ICPC: In-context Prompt Compression with Faster Inference Benefits and challenges of variable compression ratio (vcr)

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c5ac9019-5aae-45bb-9d7d-34fe19f6aedd · outbound

This paper cites A mathematical theory of communication.

ICPC: In-context Prompt Compression with Faster Inference A mathematical theory of communication

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T22:28:07.094148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T22:28:06.904586Z digest=sha256:7b2d06c0bb2d832e1894a4c0635b68157b1a21c93f175c65170675a3b87bfb4a

Observation 905d6db3-aa2e-4c5f-ad26-69824b70d57e · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval.

ICPC: In-context Prompt Compression with Faster Inference A statistical interpretation of term specificity and its application in retrieval

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-10T22:28:07.085280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T22:28:06.908374Z digest=sha256:39738f21ad848de62ca5d0275e7b29bcac09ab975aabb5e73e5768977de604cd

Observation b7fbd42b-6979-4060-b1d6-e771572168d0 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ICPC: In-context Prompt Compression with Faster Inference Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

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source=pdf_text observed=2026-08-10T22:28:06.911327Z digest=sha256:e449b24e937200a36a2d57ce1b37edf55d16e2ee744e1c29c227cc879f624e49

Observation 3b8fe34f-5fbe-4522-a8f3-473e595bb897 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

ICPC: In-context Prompt Compression with Faster Inference XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 24

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source=pdf_text observed=2026-08-10T22:28:06.914534Z digest=sha256:66b55d98e9b1a0df96f9d960363fb829b605bee8924d8f85d5023e4be705a9e3

Observation 7434c874-ae7d-4ebb-8305-66127bbdaa6c · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

ICPC: In-context Prompt Compression with Faster Inference BERTScore: Evaluating Text Generation with BERT

Reference 25

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Observation fc372933-1daa-4e33-93b6-a2d3ff9ed954 · outbound

This paper cites A Survey of Large Language Models.

ICPC: In-context Prompt Compression with Faster Inference A Survey of Large Language Models

Reference 26

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source=pdf_text observed=2026-08-10T22:28:06.920982Z digest=sha256:1f6fffbe29b5a8f95de311b20fd86b633b36b4b747f396d6c9a933b098216a24

Observation 5197d56e-e984-4cb2-a938-17b83fccf727 · outbound

This paper cites A survey on model compression for large language models.

ICPC: In-context Prompt Compression with Faster Inference A survey on model compression for large language models

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-10T22:28:07.075275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.