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Paper Citation Record · LEDGER

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.06245.

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

pith.paper-citation-record.v1
2412.06245 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:55:43.912858Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8bdc365-53d6-45f6-9beb-ce1160caf313 · outbound

This paper cites Many-Shot In-Context Learning.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Many-Shot In-Context Learning

Reference 1

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no resolver link, observed 2026-08-11T19:55:43.796992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.796992Z digest=sha256:a214ffbf8758bc1f57bc21512a4de3f7f2448ac6eb2ed7593ba6da110442fa6e

Observation 689c9e2d-461a-4333-ba7f-b008d071b14a · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 2

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no resolver link, observed 2026-08-11T19:55:43.801762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.801762Z digest=sha256:1c4013a6be46641d5f7fc4562ae4de0a8a10d20d74b0df825f291f7f0ff2391d

Observation 68d0b8de-840c-4a0c-b71f-5b28c0e8fbd0 · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-11T19:55:43.806093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.806093Z digest=sha256:1e9851ac8eb229126ec2016f000424cbadc2a4070a734e6629bedc6ebace8da4

Observation 40adab19-42ac-43e6-ba5f-2aaa8ea5db8a · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-11T19:55:43.813738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.813738Z digest=sha256:f4a6bac10b193c004cbf421698344e2dbc49860266d5e937de5d48ea1eb344b6

Observation 8d86de06-c967-48fd-b722-e4dbbd003e6e · outbound

This paper cites Language Models are Few-Shot Learners.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Language Models are Few-Shot Learners

Reference 5

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no resolver link, observed 2026-08-11T19:55:43.817836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.817836Z digest=sha256:b07275bd6a6b5a7802622bcdec2225fbd1b73a92c86aa577133d6f39dc69cd2e

Observation 10b19c01-b0c4-442c-9e1f-b6cbbfa16a96 · outbound

This paper cites Bridging Information-Theoretic and Geometric Compression in Language Models.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Bridging Information-Theoretic and Geometric Compression in Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:43.821972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.821972Z digest=sha256:c961efd0cad305639418fbfbd5fa81b8e3f0a18fbc75b11450cf93ff83938f68

Observation b0ff9743-1eab-4f2c-a239-4261180de51b · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 7

Resolution
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no resolver link, observed 2026-08-11T19:55:43.826275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.826275Z digest=sha256:bc66d4378f2b9fa4b72f110ece3b4ae96db0c9ca4654875bbc9d1da54f526e8f

Observation d552721c-c7e5-4dd8-9e5b-a963b90b6908 · outbound

This paper cites The representation landscape of few-shot learning and fine-tuning in large language models.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension The representation landscape of few-shot learning and fine-tuning in large language models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:55:44.103123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T19:55:43.830245Z digest=sha256:c582689da30e52b49aeaa1e3142bf7c2ddf1713f6bcf5a510dc29398e6ea8347

Observation 4d197887-5b9a-407f-9d31-b3eaf3ecb7af · outbound

This paper cites The Llama 3 Herd of Models.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension The Llama 3 Herd of Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.834145Z digest=sha256:a209be6c9cf59ccb7808358c1c1d327dfc12b3e492caa04ffbbf02d3326340a4

Observation cee991b8-dfbb-4934-899f-5f0a0abb8b73 · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-11T19:55:43.837777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.837777Z digest=sha256:c4364ab89e6b4f62f7e1b7f1ec0deb2a7b3ac646e8cc33546fc91ddca44f85d7

Observation 8f8b1b5f-aa7b-4fdc-9125-686da589c23e · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-11T19:55:43.841608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.841608Z digest=sha256:f5b6088988fa6bd517acdf123e50291d869c7036544c7d47a9b39bbcfa769f1a

Observation f9bb9a09-ff9d-4967-8fb8-a4cc63cfa7a9 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Measuring Massive Multitask Language Understanding

Reference 12

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no resolver link, observed 2026-08-11T19:55:43.845310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.845310Z digest=sha256:9b1dd503945c05058f86310dd592b5a64f3aeb4ff3512e5f0d75ce711e1589f1

Observation 3f4aa37f-28a4-4f28-8241-e036500452ea · outbound

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

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:43.849109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.849109Z digest=sha256:6e55f7a0db0a5da59943dd137dc75b4b45bb9f64740948a5d8dab3640c6d3541

Observation 9ca02eba-af47-4f3d-b9b1-1d94f34aa00a · outbound

This paper cites Mistral 7B.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Mistral 7B

Reference 14

Resolution
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no resolver link, observed 2026-08-11T19:55:43.852659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.852659Z digest=sha256:d4bbfd935ce088385b72c31598eaff6544e544e28447d91b43f469a728b18193

Observation 03be0006-243c-46b4-ac68-a7a5d7a8b854 · outbound

This paper cites Geometric Signatures of Compositionality Across a Language Model's Lifetime.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Geometric Signatures of Compositionality Across a Language Model's Lifetime

Reference 15

Resolution
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no resolver link, observed 2026-08-11T19:55:43.856367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.856367Z digest=sha256:d76a5efbe2b1ba1b15fab8c9c68c5ed5a36c75f7ee68da37d9e85d2be8eaf210

Observation 75444183-c8fd-4026-a30b-acfa491478c7 · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-11T19:55:43.860291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.860291Z digest=sha256:c35ffcfe3b2c37c27946e40b272ae5780c6f5c2f59d57888e249fbee7b9a9f84

Observation 5c0c5647-a2d3-4018-86be-a15e2689ce7e · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T19:55:44.209099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T19:55:43.863750Z digest=sha256:fc68e31541cb9edd827abeb24bd97b4277b3ced2bb3624b667ddc3e0a097f28d

Observation 9d02fe74-d965-4a53-86a4-68f89d354ea9 · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:43.867135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.867135Z digest=sha256:09abcf6c991e286859b42f456cf700cf811925f78a8a5cc39d356f30e66d8baa

Observation 35e03ac6-ced1-4dee-9f59-44e82f82c7fa · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 19

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no resolver link, observed 2026-08-11T19:55:43.870725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.870725Z digest=sha256:31fa4b8f56a283ad86c47816195f5d96d44bf0a17f6d826f4fb8748421a3f750

Observation 8ce90f40-7898-4efd-9434-6362e909e54d · outbound

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

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:43.874599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.874599Z digest=sha256:859618539e0d232903ae4314d121152d9dd3636e2aba8080996ea29233683439

Observation 26d613e7-ca99-4b03-94c3-ea304ae4bf9c · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-11T19:55:44.190958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T19:55:43.878196Z digest=sha256:85b4203cd920b35d53359b63355f44c9e9a5ff0a73f82ab609ef5a57398dc812

Observation f826d27c-7b4d-4aac-804f-f34e13b4028e · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:43.881987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 947f314d-9bc7-4025-b7ff-937ae7de2479 · outbound

This paper cites Bilateral Multi-Perspective Matching for Natural Language Sentences.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Bilateral Multi-Perspective Matching for Natural Language Sentences

Reference 23

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no resolver link, observed 2026-08-11T19:55:43.885725Z

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Unavailable: canonical work link unavailable.

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Observation 09919709-2096-41a3-b227-d0b6617d62c8 · outbound

This paper cites Neural Network Acceptability Judgments.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Neural Network Acceptability Judgments

Reference 24

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no resolver link, observed 2026-08-11T19:55:43.889822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.889822Z digest=sha256:0150126494bea2130b7fe05a698736addd19b3de14f1379e6afc997c7e28af68

Observation c28b84f3-fd91-4beb-993b-18cde845dccb · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 25

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no resolver link, observed 2026-08-11T19:55:43.893702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.893702Z digest=sha256:90aad6988916184da8e9ca3df1c4e1702c6e3ca5b4d6ea568278f27d3e162b3f

Observation a48b7439-7ae7-4700-9451-92f7a7e9f835 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:43.897472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 48e19777-cd28-4a3b-8e53-78abe3b7440d · outbound

This paper cites Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

Reference 27

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no resolver link, observed 2026-08-11T19:55:43.901127Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.901127Z digest=sha256:08e9ef274a77968940d799a6a816438537910e17ae529f8b32ae05fb03006f1b

Observation ef54000c-6b9a-4824-934a-89d9787098cf · outbound

This paper cites an unresolved cited work.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-11T19:55:43.905001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.905001Z digest=sha256:744c3f225f101591753fb2effe0d3792f3702a31ff6b367424483dc20f5edc15

Observation 1dd4315d-4007-45ba-8578-7f9f1685a084 · outbound

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A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension URL: " 'urlintro :=

Reference 29

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unresolved
no resolver link, observed 2026-08-11T19:55:43.908661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b6e6d716-4afc-4233-b7da-9a6172f9fe22 · outbound

This paper cites write newline.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension write newline

Reference 30

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unresolved
no resolver link, observed 2026-08-11T19:55:43.912858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.912858Z digest=sha256:d24f2c495d30a83e6a84463fe39e4a48f9d3c62afb48096407ee8e8756f7bd6e

Pith citing papers

No inbound Pith citation observations are available.