Paper Citation Record · LEDGER

NEFTune: Noisy Embeddings Improve Instruction Finetuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2310.05914.

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

pith.paper-citation-record.v1
2310.05914 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:58:32.312529Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bb76c188-85a4-4819-826e-1d0f8042f9e7 · inbound

Zephyr: Direct Distillation of LM Alignment cites this paper.

Zephyr: Direct Distillation of LM Alignment NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:13:57.407757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34f06883-fea1-4564-8b7d-bbc4f657d392 · inbound

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! cites this paper.

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T23:40:11.076330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a8b1719-94da-4ba3-8bfe-69069a53c5ef · inbound

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty cites this paper.

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:15:49.442429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43d792c1-e18d-4696-a274-fe211cd47b07 · inbound

Yi: Open Foundation Models by 01.AI cites this paper.

Yi: Open Foundation Models by 01.AI NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:47:27.862233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49c29f55-9f91-45d1-8862-67ced2626cd0 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T04:58:32.312529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c25b6d-c1b0-4c6a-8f0a-03cb18d10101 · inbound

RankLLM: A Python Package for Reranking with LLMs cites this paper.

RankLLM: A Python Package for Reranking with LLMs NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:39.017522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e18584-629f-4bb2-bbe0-220329686f40 · inbound

More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning cites this paper.

More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:11:45.545007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7b6809-f954-4e70-9164-b25d6b335b1e · inbound

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study cites this paper.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:30.152621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e0a2ae-74d4-4925-a499-82e9d139bc74 · inbound

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger cites this paper.

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T03:27:49.024742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e1f2ed-d3a7-4721-8aab-66d8b31e746f · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T20:37:32.072822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6cad981-e128-4255-bc1d-1380b853e972 · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:11:18.192702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d0f1e5d-5c53-4125-807c-2bf73b65bf12 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:46.540483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3aef043-0562-46f3-b337-0669da0055a8 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:17.379740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.