Paper Citation Record · LEDGER

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory

As of 15 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.00999.

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

pith.paper-citation-record.v1
2501.00999 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:43:11.725670Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:45:39.313529Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8c75341-4acc-4623-9ef6-bab4cb5868f2 · outbound

This paper cites Demystifying Prompts in Language Models via Perplexity Estimation.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Demystifying Prompts in Language Models via Perplexity Estimation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.685336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f358e24-109a-4aa9-ad27-bc2d94aa961a · outbound

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

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.694092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764e81a8-28ad-475f-a963-1c849c09bcb5 · outbound

This paper cites Diverse Demonstrations Improve In-context Compositional Generalization.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Diverse Demonstrations Improve In-context Compositional Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.698113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282696cc-f93b-4a79-8430-19b5777d3057 · outbound

This paper cites Training language models to follow instructions with human feedback.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Training language models to follow instructions with human feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.709856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37ec5fe8-e364-4676-9a39-26ec7b8a2e47 · outbound

This paper cites Learning To Retrieve Prompts for In-Context Learning.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Learning To Retrieve Prompts for In-Context Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.717594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01aef40e-955f-4e85-aa3c-d425178da746 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.721583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef425c1-f911-4e60-9962-c8911c138a81 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.725670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95584997-d13f-466b-ab07-c7412d82d912 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Parameter-Efficient Transfer Learning for NLP

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.689738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a35bfd5-5474-4b9a-98aa-93c50dc18a3d · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.713804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d92822-053d-4d75-9ea8-6ce3e99134e9 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.681038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073f23aa-f8d6-4e0f-b445-23d38cc98f83 · outbound

This paper cites In-context Examples Selection for Machine Translation.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory In-context Examples Selection for Machine Translation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.676006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d333fc-fc35-4ad2-b82c-d2b216297854 · outbound

This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.706343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b32496b-d7be-40f4-be0f-f7c99e42b244 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:11.702334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 08e34236-2a92-4804-9c44-f9202d0417d7 · inbound

Information-Theoretic Limits of Reliability and Scaling in Language Models cites this paper.

Information-Theoretic Limits of Reliability and Scaling in Language Models Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory

Reference 48

Resolution: malformed identifier; no resolver link, observed 2026-08-02T14:45:39.313529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.