Paper Citation Record · LEDGER

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2602.20207.

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

pith.paper-citation-record.v1
2602.20207 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T11:40:57.651537Z

measured 43 of 43 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 2026-07-14T09:09:29.470093Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact7
verified fuzzy35
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dda1c092-10d6-4fdd-b09a-9fda2a7ef966 · outbound

This paper cites Overcoming Catastrophic Forgetting in Neural Networks.Proceedings of the National Academy of Sciences.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Overcoming Catastrophic Forgetting in Neural Networks.Proceedings of the National Academy of Sciences

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.888661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 669b9d70-560f-49ab-9dc2-19963cf25771 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning.IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning.IEEE/ACM Transactions on Audio, Speech, and Language Processing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.872945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8050eff0-dc42-4d84-8a90-f8dcbe7d98a4 · outbound

This paper cites Editing Large Language Models: Problems, Methods, and Opportunities.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Editing Large Language Models: Problems, Methods, and Opportunities

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.886485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a453d5b-fe3d-49d2-97bd-dcb3b5dbe168 · outbound

This paper cites EasyEdit: An Easy-to-Use Knowledge Editing Framework for Large Language Models.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis EasyEdit: An Easy-to-Use Knowledge Editing Framework for Large Language Models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.877618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1165643b-0d3e-4b25-b523-745d0362411c · outbound

This paper cites Understanding the Side Effects of Rank-One Knowledge Editing.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Understanding the Side Effects of Rank-One Knowledge Editing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.880099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 03af49d6-56fe-4178-b888-129aa718ff01 · outbound

This paper cites Does Localization Inform Editing? Surprising Differences in Causality-based Localization vs.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Does Localization Inform Editing? Surprising Differences in Causality-based Localization vs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.875100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33af2815-c1fc-4f9c-8739-050af5a53dcb · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Locating and Editing Factual Associations in GPT

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.884247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e280321c-5060-4280-8da1-65c5bb9f49d6 · outbound

This paper cites PhD thesis, The University of North Carolina at Chapel Hill.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis PhD thesis, The University of North Carolina at Chapel Hill

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.890728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf897fdc-8758-448d-9776-11264ed7efa5 · outbound

This paper cites On the Feasibility of In-Context Probing for Data Attribution.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis On the Feasibility of In-Context Probing for Data Attribution

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.882279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 590b1843-ff8c-4dc4-ac81-dad30e51bc86 · outbound

This paper cites Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.894660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 838fbba7-5520-427c-90be-b30edca7a601 · outbound

This paper cites Estimating Training Data Influence by Tracing Gradient Descent.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Estimating Training Data Influence by Tracing Gradient Descent

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.943436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 205183b4-160d-48a6-8e56-86b449200931 · outbound

This paper cites Rebuilding ROME: Resolving Model Collapse during Sequential Model Editing.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Rebuilding ROME: Resolving Model Collapse during Sequential Model Editing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.892709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3af1820e-9c34-4b9f-a709-c7a86fc09ab5 · outbound

This paper cites Mass-Editing Memory in a Transformer.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Mass-Editing Memory in a Transformer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.952978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41bff9b9-9c6f-45ac-bd6c-20c015dbb31d · outbound

This paper cites A Unified Framework for Model Editing.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis A Unified Framework for Model Editing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.927482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1af2958-1335-4e21-a77e-44b4f95c42a8 · outbound

This paper cites PMET: Precise Model Editing in a Transformer.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis PMET: Precise Model Editing in a Transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.914500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6bc5e7e-8916-4f6c-adeb-11465ded7202 · outbound

This paper cites Direct and Indirect Effects.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Direct and Indirect Effects

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.911922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52f36a30-a2f1-4087-b05d-3be51228ff9e · outbound

This paper cites Investigating Gender Bias in Language Models Using Causal Mediation Analysis.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Investigating Gender Bias in Language Models Using Causal Mediation Analysis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.948128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a5d7242f-42ce-415d-9608-52a01a91fa85 · outbound

This paper cites Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:44:09.326427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06070867-e518-44c0-b26d-73a2bb47dec1 · outbound

This paper cites Sanity Checks for Saliency Maps.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Sanity Checks for Saliency Maps

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.924659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23fa1833-13cc-472b-8aad-3fcea123ff38 · outbound

This paper cites Axiomatic Attribution for Deep Networks.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Axiomatic Attribution for Deep Networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.919155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca3b8d85-5afe-4a23-89ec-5279f681eff8 · outbound

This paper cites Understanding Black-Box Predictions via Influence Functions.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Understanding Black-Box Predictions via Influence Functions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.912481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29ee6047-72c3-42c1-b498-0d93786f4366 · outbound

This paper cites Revisit, extend, and enhance hessian-free influence functions.CoRR, abs/2405.17490.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Revisit, extend, and enhance hessian-free influence functions.CoRR, abs/2405.17490

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:44:09.332942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85e14c29-13cc-4189-b66e-2ddd6b99d9f8 · outbound

This paper cites What Data Benefits My Classifier? Enhancing Model Performance and Interpretability through Influence-Based Data Selection.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis What Data Benefits My Classifier? Enhancing Model Performance and Interpretability through Influence-Based Data Selection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.902896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e923d338-1a40-4b75-97e8-bf41cf60b310 · outbound

This paper cites Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.896963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f958ab3a-2810-4a78-bf23-b7b0c42ffd13 · outbound

This paper cites LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.945717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ebf36a4-f5ca-4f88-bb49-845b6e411486 · outbound

This paper cites First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.938398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97419474-fe09-4a63-b756-0ecd5f25fda5 · outbound

This paper cites First is Better than Last for Language Data Influence.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis First is Better than Last for Language Data Influence

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.936078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e2ac4e2-e8a1-444c-b501-224c93639a5a · outbound

This paper cites Transformer Feed-Forward Layers are Key-Value Memories.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Transformer Feed-Forward Layers are Key-Value Memories

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.933168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bc169de-a718-42f6-8c37-cdc70bc81a44 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.900918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31099cba-7728-4ed3-ad81-41d2caa7e7a4 · outbound

This paper cites Transformer Feed-Forward Layers build Predictions by Promoting Concepts in the Vocabulary Space.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Transformer Feed-Forward Layers build Predictions by Promoting Concepts in the Vocabulary Space

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.921958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95395b27-7334-49ca-a0b3-1efe29e10966 · outbound

This paper cites Shortgpt: Layers in Large Language Models are More Redundant than You Expect.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Shortgpt: Layers in Large Language Models are More Redundant than You Expect

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.930363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3689daa-b4c6-44b2-8114-536f3d30de76 · outbound

This paper cites How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.905269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c52deaf-6418-40db-af15-86f806625de1 · outbound

This paper cites Does Knowledge Localization Hold True? Surprising Differences between Entity and Relation Perspectives in Language Models.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Does Knowledge Localization Hold True? Surprising Differences between Entity and Relation Perspectives in Language Models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.940827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edb37553-e544-42a3-819c-e2c8f47cfde2 · outbound

This paper cites What Matters in Transformers? Not All Attention is Needed.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis What Matters in Transformers? Not All Attention is Needed

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:44:09.319766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 310d368a-a1e1-4fb8-8ed8-335472855a95 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.OpenAI blog.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Language Models are Unsupervised Multitask Learners.OpenAI blog

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.907660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 32f869ac-cfe7-4cd4-8545-6c0cc31fc82a · outbound

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

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-21T11:44:09.323137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b25b94c5-0fab-423a-8f5d-0afb64efe58e · outbound

This paper cites Gemma 3 Technical Report.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Gemma 3 Technical Report

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-21T11:44:09.315641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 662f4d4e-8077-4fc7-b27b-7f7af76b0f89 · outbound

This paper cites Zero-Shot Relation Extraction via Reading Comprehension.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Zero-Shot Relation Extraction via Reading Comprehension

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.910075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35ffef8f-713e-4487-aaf2-b084e68ee8b9 · outbound

This paper cites Aging with Grace: Lifelong Model Editing with Discrete K-Value Adaptors.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Aging with Grace: Lifelong Model Editing with Discrete K-Value Adaptors

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.916701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b8ecf57-e019-4437-9fd7-8b173482a739 · outbound

This paper cites A Comprehensive Study of Knowledge Editing for Large Language Models.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis A Comprehensive Study of Knowledge Editing for Large Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:44:09.329946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ac02c29-8855-4d2b-8301-38c01048d5d6 · outbound

This paper cites Evaluating the Ripple Effects of Knowledge Editing in Language Models.Transactions of the Association for Computational Linguistics.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Evaluating the Ripple Effects of Knowledge Editing in Language Models.Transactions of the Association for Computational Linguistics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:44:09.950398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55179920-e6d6-4b90-884e-336d9b635d86 · outbound

This paper cites Performance of Some Resistant Rules for Outlier Labeling.

Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Performance of Some Resistant Rules for Outlier Labeling

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:44:09.312348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation cbd8cb77-bd5f-4b3e-b5fa-ecc3cd2ccbd3 · inbound

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs cites this paper.

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T09:09:29.470093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.