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Paper Citation Record · LEDGER

Shuttle Between the Instructions and the Parameters of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.02315.

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

pith.paper-citation-record.v1
2502.02315 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:41:02.450581Z

measured 43 of 43 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 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

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 981fb0b2-22ef-4626-ad76-d02155f21e1f · outbound

This paper cites Deep Variational Information Bottleneck.

Shuttle Between the Instructions and the Parameters of Large Language Models Deep Variational Information Bottleneck

Reference 1

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Observation fe216206-16b1-47d2-b806-730c00d82e4e · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Shuttle Between the Instructions and the Parameters of Large Language Models A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 2

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Observation ecd151f2-5dd0-444b-851e-c0aef24829f4 · outbound

This paper cites Generating Sentences from a Continuous Space.

Shuttle Between the Instructions and the Parameters of Large Language Models Generating Sentences from a Continuous Space

Reference 3

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Observation 61562504-e7e9-479f-aad3-b4c427c2f0e7 · outbound

This paper cites Language Modeling Is Compression.

Shuttle Between the Instructions and the Parameters of Large Language Models Language Modeling Is Compression

Reference 4

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Observation 865017c3-28b8-47f5-9c99-ce0e3b6892b1 · outbound

This paper cites Large Language Models Are Not Strong Abstract Reasoners.

Shuttle Between the Instructions and the Parameters of Large Language Models Large Language Models Are Not Strong Abstract Reasoners

Reference 5

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Observation 1af033cb-8eaf-42db-a59f-58d13e8d6c07 · outbound

This paper cites Bowman, and Omer Levy.

Shuttle Between the Instructions and the Parameters of Large Language Models Bowman, and Omer Levy

Reference 6

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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.

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Observation ac0c1ca0-2ade-47e2-96ee-f1ed22226118 · outbound

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

Shuttle Between the Instructions and the Parameters of Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

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Observation ac6d37ff-a77b-442f-a436-8e59bd48da5c · outbound

This paper cites HINT: Hypernetwork instruction tuning for efficient zero- and few-shot generalisation.

Shuttle Between the Instructions and the Parameters of Large Language Models HINT: Hypernetwork instruction tuning for efficient zero- and few-shot generalisation

Reference 8

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

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Observation 24329ca8-cc8b-44d4-8b13-934b2f8deb21 · outbound

This paper cites Auto-Encoding Variational Bayes.

Shuttle Between the Instructions and the Parameters of Large Language Models Auto-Encoding Variational Bayes

Reference 9

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Observation 904575b3-d26f-4cd6-95ce-b510823ee1ba · outbound

This paper cites Variational dropout and the local reparame- terization trick.

Shuttle Between the Instructions and the Parameters of Large Language Models Variational dropout and the local reparame- terization trick

Reference 10

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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.

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Observation 258b4e45-34f6-4ce5-9bc4-503c9e685fec · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Shuttle Between the Instructions and the Parameters of Large Language Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 11

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Observation e4ec10b5-9ee5-4cd9-ba4c-dc82b24528c7 · outbound

This paper cites From Instance Training to Instruction Learning: Task Adapters Generation from Instructions.

Shuttle Between the Instructions and the Parameters of Large Language Models From Instance Training to Instruction Learning: Task Adapters Generation from Instructions

Reference 12

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Observation a4b1ae9d-cee1-4b89-a072-f3172eef6d0e · outbound

This paper cites Large Language Models as General Pattern Machines.

Shuttle Between the Instructions and the Parameters of Large Language Models Large Language Models as General Pattern Machines

Reference 13

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Observation 17ef531a-2a64-4533-8747-93605bf1ab12 · outbound

This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.

Shuttle Between the Instructions and the Parameters of Large Language Models Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 14

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Observation 94735af9-e993-47f0-9f2a-0734165c463f · outbound

This paper cites InFoBench: Evaluating Instruction Following Ability in Large Language Models.

Shuttle Between the Instructions and the Parameters of Large Language Models InFoBench: Evaluating Instruction Following Ability in Large Language Models

Reference 15

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Observation b1d529eb-e7b5-4aa6-a015-c9b47890ca4c · outbound

This paper cites Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.

Shuttle Between the Instructions and the Parameters of Large Language Models Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

Reference 16

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Observation 7efa4000-1b7e-422d-a0e8-4f5532734fbc · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

Shuttle Between the Instructions and the Parameters of Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 17

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Observation bbcca24d-f3e7-402a-b6b1-0f041cc7f342 · outbound

This paper cites ItD: Large Language Models Can Teach Themselves Induction through Deduction.

Shuttle Between the Instructions and the Parameters of Large Language Models ItD: Large Language Models Can Teach Themselves Induction through Deduction

Reference 18

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Observation cd2a23dd-2983-4ffa-bfa5-071455945bde · outbound

This paper cites Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.

Shuttle Between the Instructions and the Parameters of Large Language Models Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models

Reference 19

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Observation ac10b2cc-a062-49f2-9826-2a7eeb29a336 · outbound

This paper cites Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

Shuttle Between the Instructions and the Parameters of Large Language Models Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 20

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Observation 081566b6-2347-4e2b-9545-f0e16b270bcb · outbound

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

Shuttle Between the Instructions and the Parameters of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 21

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Observation e0f4ab32-9175-41e5-ac44-958bf62de155 · outbound

This paper cites Visualizing data using t-sne.

Shuttle Between the Instructions and the Parameters of Large Language Models Visualizing data using t-sne

Reference 22

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Observation d59b1dea-3373-4756-bf1a-6ac0eb2e7bac · outbound

This paper cites Hypothesis Search: Inductive Reasoning with Language Models.

Shuttle Between the Instructions and the Parameters of Large Language Models Hypothesis Search: Inductive Reasoning with Language Models

Reference 23

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Observation e0e56dd4-8ead-4551-9660-ded5cbaa64b7 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Shuttle Between the Instructions and the Parameters of Large Language Models Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 24

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Observation 1d53ab08-d0c3-4a35-b1fe-fd5a11296c80 · outbound

This paper cites Llm-driven instruction following: Progresses and concerns.

Shuttle Between the Instructions and the Parameters of Large Language Models Llm-driven instruction following: Progresses and concerns

Reference 25

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Observation a638f615-7de5-4b2b-ac58-b411b40684b0 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Shuttle Between the Instructions and the Parameters of Large Language Models Instruction-Following Evaluation for Large Language Models

Reference 27

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Observation 0a0b3e93-3c64-4213-903b-5be3a9b95e9d · outbound

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Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 29

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Observation 5d977b84-303b-4e36-a5fe-b61e280c9eb3 · outbound

This paper cites Limitations.

Shuttle Between the Instructions and the Parameters of Large Language Models Limitations

Reference 30

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

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Observation e64b5406-8d91-4df8-94f4-6fd7536d2db7 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 31

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Observation da8aaeeb-1b95-4cbe-8d3a-231aa17ea9d5 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not include experiments

Reference 32

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Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 33

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Observation 73958ba9-f511-4874-8ab2-5655318778a8 · outbound

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Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not include experiments

Reference 34

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Observation 4d63ba14-12f6-4d77-952e-8d4c3896f7c7 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not include experiments

Reference 35

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raw_fallback, observed 2026-08-09T12:41:02.748079Z

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Observation b17f39b1-bb16-43ad-9d13-3c3824286f3e · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not include experiments

Reference 36

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Observation 89b68de8-4c55-40d7-b363-d24cd2ec0c40 · outbound

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Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 37

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Observation d445bbb6-ebad-459d-85a0-bb1c85ac704c · outbound

This paper cites We believe its impact should be confined to the academic domain.

Shuttle Between the Instructions and the Parameters of Large Language Models We believe its impact should be confined to the academic domain

Reference 38

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raw_fallback, observed 2026-08-09T12:41:02.722074Z

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Observation 9853fc54-f104-427b-b298-2640abeb237d · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper poses no such risks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:02.712097Z

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.

source=pdf_text observed=2026-08-09T12:41:02.434541Z digest=sha256:2c1b078b234c83308044e4adb4e42a3dd02fc3967b8e74d34e4a9a65174d4825

Observation 74bf5055-bc65-49db-8dbc-db84346f14ed · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not use existing assets

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:02.702140Z

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.

source=pdf_text observed=2026-08-09T12:41:02.437635Z digest=sha256:9b4f4d891ccc5392c424d88995bee12a376f8bb89366fb92a1e88d520249a9cd

Observation 1ac835b9-d96a-4f1b-aef7-d27a2e196d06 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not release new assets

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:02.691780Z

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.

source=pdf_text observed=2026-08-09T12:41:02.440842Z digest=sha256:20e0f9e1abd00375eaa9fcbeb9127c3dda0ceec6b2e703ef7a7c556a6248e037

Observation e07fc50b-fb55-493e-8350-14f3e090d04b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:02.444129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:02.444129Z digest=sha256:98c4cf7bedb6c3ac0e2877731e06ec335895153de7bad91107bd11e733d27510

Observation 1b6d7758-caca-419b-9cc6-8c7c05bc389c · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Shuttle Between the Instructions and the Parameters of Large Language Models Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:02.447391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:02.447391Z digest=sha256:0f799946b2af23ba722470c0f1a24b32cb5ef790df873a44ad7a7ad5370c2c24

Observation 7f2f0d28-3eff-4d66-af74-85b10146115a · outbound

This paper cites Answer: [NA] Justification: The core method development in this research does not involve LLMs as any important, original, or non-standard components.

Shuttle Between the Instructions and the Parameters of Large Language Models Answer: [NA] Justification: The core method development in this research does not involve LLMs as any important, original, or non-standard components

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:02.670560Z

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.

source=pdf_text observed=2026-08-09T12:41:02.450581Z digest=sha256:722648151466816b50df1c175b3a7487aacc46c33e69c176b54768aa5679998a

Observation a5496679-740f-487f-8646-ceb157ab8ce7 · outbound

This paper cites an unresolved cited work.

Shuttle Between the Instructions and the Parameters of Large Language Models Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:02.327137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:02.327137Z digest=sha256:5fbee63186064375d0960bc713472c9383d475082a84088b6b959965fb34a2be

Pith citing papers

No inbound Pith citation observations are available.