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Paper Citation Record · LEDGER

A Closer Look at the Limitations of Instruction Tuning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.05119.

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

pith.paper-citation-record.v1
2402.05119 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:51:04.573909Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:29.135065Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation af11beec-4641-4430-8246-d58df601d8e7 · inbound

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation cites this paper.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation A Closer Look at the Limitations of Instruction Tuning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T15:25:11.044370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:25:11.044370Z digest=sha256:87bcbf833d61eb8e055a2a2da6afe42692197e58ca7254ffd2b056ef8d1bdb48

Observation 3b26eba2-1e81-490a-8400-ec71ac6a1bdf · inbound

The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities cites this paper.

The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities A Closer Look at the Limitations of Instruction Tuning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:00.885016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:24:00.885016Z digest=sha256:a6fed7eb4e3ba3fb20ba48d7430239c22376a6b53a4422a4126e47efcc953d22

Observation eb9facba-569f-4052-9440-5d97d9de8fa5 · inbound

The Rise of Small Language Models in Healthcare: A Comprehensive Survey cites this paper.

The Rise of Small Language Models in Healthcare: A Comprehensive Survey A Closer Look at the Limitations of Instruction Tuning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T10:51:04.573909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:51:04.573909Z digest=sha256:869a67180802041d2057dd43801afa8655d45b0857ade4f942d7299142d20172

Observation 6947d8e0-59ef-4102-af77-bceaa7b75500 · inbound

Visual Compositional Tuning cites this paper.

Visual Compositional Tuning A Closer Look at the Limitations of Instruction Tuning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:41:53.129911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T17:39:09.890605Z digest=sha256:5d45f187f039fdd024ab7a48ba368c09e4a208dd33c6d116b9f0f208e3899423

Observation 7d32ca32-d261-4266-856b-6b8ccba45fc0 · inbound

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning cites this paper.

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning A Closer Look at the Limitations of Instruction Tuning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:39:02.897278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:39:02.897278Z digest=sha256:eedebc1d8a09667b1180388ff9541bc78349f2e639a83dc1272ff7d8ccfcd1a8

Observation bcd49f0e-f5e1-4b7b-92f3-645ea11a1c11 · inbound

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs cites this paper.

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs A Closer Look at the Limitations of Instruction Tuning

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T19:26:27.931817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:26:27.931817Z digest=sha256:aa1aebc711dbce38bccd03086ee18834441f36795b99ca25e621b79f10136d9b

Observation 9856e163-d5df-4e37-93df-8cf6a885b186 · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A Closer Look at the Limitations of Instruction Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:44:00.658347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:00.658347Z digest=sha256:fdaacee9302d5ca2843ae6790a97f2acf372ad6e0fe0822afe99a9a1648cb673

Observation 0ac53789-f36f-4eed-8f5b-cf65c2e06657 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges A Closer Look at the Limitations of Instruction Tuning

Reference 268

Resolution
unresolved
no resolver link, observed 2026-08-06T14:13:07.250770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:13:07.250770Z digest=sha256:525491313549c55eb945bf8ea1df8e394e8f773da099047bee2b8773c1d2dd7f

Observation e3790978-77bc-48cc-aac8-e929e9180faf · inbound

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs cites this paper.

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs A Closer Look at the Limitations of Instruction Tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T23:27:35.451357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:27:35.451357Z digest=sha256:cabb8b0cca936cd6dc413f5c36ac5dfea19b124865ebd10f03a358ca3dde1569

Observation b027f5e2-4c1f-4c2d-8679-0e7483dc5aea · inbound

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches A Closer Look at the Limitations of Instruction Tuning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:25:28.979754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T07:23:53.703286Z digest=sha256:47c0a37ce00689751f75761fa306b8271ecb87f20a806a3d0b09652402a17bdf

Observation 35d3cbf9-9d0d-4bc4-a67f-95ca88a586e2 · inbound

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches A Closer Look at the Limitations of Instruction Tuning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T16:38:13.703435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:38:13.703435Z digest=sha256:365c1a5564f7e13110d28d16a815ec1fe4c83824ade9b4d08f3ad9ead53d29ce

Observation 6949fa31-1b8d-4086-a517-9889e48229e6 · inbound

Response-Based Knowledge Distillation for Multilingual Jailbreak Prevention Unwittingly Compromises Safety cites this paper.

Response-Based Knowledge Distillation for Multilingual Jailbreak Prevention Unwittingly Compromises Safety A Closer Look at the Limitations of Instruction Tuning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:28:48.870432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T01:27:16.967080Z digest=sha256:6d9ff8c1ad4453373a26e147f29e38a6b9b1b26bcd1b09a775a943d15baff881

Observation cf093fec-6270-4306-90cb-8823545086a7 · inbound

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models cites this paper.

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models A Closer Look at the Limitations of Instruction Tuning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:54:48.792539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T00:50:27.257888Z digest=sha256:2cbe333a1019dc9758830de9cb75ff999eef2de3d68389015fcc643f93ed76da

Observation 89f138f2-d8a1-4627-9604-09ae9aa736fe · inbound

Expert-Aware Refusal Steering cites this paper.

Expert-Aware Refusal Steering A Closer Look at the Limitations of Instruction Tuning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:29.136589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T10:04:13.562338Z digest=sha256:5caa117c7accd9a4f2b233b9b56b8936e485fcb593a81e6a5f856a4fbf32dab6

Observation f4c0a107-bb74-4e2c-9f20-d05871d99c9d · inbound

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction cites this paper.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction A Closer Look at the Limitations of Instruction Tuning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T13:59:18.581602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:18.581602Z digest=sha256:3961ae2085abb6f44050fde0e2b1f5ea6b4fce692e278e1eb975e85f36c4aefc