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Paper Citation Record · LEDGER

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

As of 19 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2502.02173.

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

pith.paper-citation-record.v1
2502.02173 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:10:15.297415Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T08:20:22.658329Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T08:20:22.795185Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0f18daf-5863-4b8b-bd6b-06a058386772 · outbound

This paper cites URL: " 'urlintro :=.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge URL: " 'urlintro :=

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.014271Z digest=sha256:6fcf7aa4d7cc1dd6d3e469fc7ca3bf761432e18346709a1a8ad17cf7a04f9ceb

Observation 63d19cb9-feac-4c0e-8fc5-28fb8a962ca0 · outbound

This paper cites write newline.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge write newline

Reference 2

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source=arxiv_source observed=2026-08-09T13:10:15.021041Z digest=sha256:e1101fccd763dd824ba13e84adbb1499ed50f2b080e4490826fadad1e553500d

Observation ccf44cc3-404d-44f3-9311-3a94336df859 · outbound

This paper cites Layer Normalization.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Layer Normalization

Reference 3

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source=arxiv_source observed=2026-08-09T13:10:15.026031Z digest=sha256:cc833bf74664951b29c94a5f02c8f4dd7a5bd35c3a00e8b36e266275c262122a

Observation 42ef7421-b7dd-4d24-aac5-5e0779f29fae · outbound

This paper cites an unresolved cited work.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-09T13:10:15.032009Z digest=sha256:088545640f5f277f0169e15f245d6c2ea3d800552f62b36bfdebf38e6c8e1e7d

Observation bda7eeb4-1966-428d-ac95-47d67dd2bddf · outbound

This paper cites GRATH: Gradual Self-Truthifying for Large Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge GRATH: Gradual Self-Truthifying for Large Language Models

Reference 5

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source=arxiv_source observed=2026-08-09T13:10:15.037089Z digest=sha256:945aacef2e997195ef72e4c17f4d53ec266fd0fca7a33be4bb172dbbf1e9e8bb

Observation 18d5f665-44d3-40af-aaff-dcc44e093869 · outbound

This paper cites MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 6

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no resolver link, observed 2026-08-09T13:10:15.042127Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.042127Z digest=sha256:1b41c64ad0e0053d52f7bc7e6c8dfccb87628cde2522c80848491f01b6e1f26f

Observation 69b5801d-43ab-4aaf-a4e2-39268689494c · outbound

This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 7

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source=arxiv_source observed=2026-08-09T13:10:15.047367Z digest=sha256:fd43f3f5a00ff73a02b21ac735ac6d04fd6d9084dffb8d75b11d07db8e71dc6a

Observation 7520a4d5-50ec-4f0d-b4e3-96ca2114506f · outbound

This paper cites Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons

Reference 8

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source=arxiv_source observed=2026-08-09T13:10:15.052434Z digest=sha256:4d7faada56adbbc35a8c42daad61c405f9361275eec6586b9bbb63dee1720fb4

Observation e1e0e83c-be88-462a-a48c-10e45f30e8aa · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-09T13:10:15.057986Z digest=sha256:d0043ca33a514ba566e3bc5f06510137e79533f22d4452584e57c5348c5ebd78

Observation 04599158-75ab-4cc4-a89e-814564855f0c · outbound

This paper cites Evaluating the Ripple Effects of Knowledge Editing in Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Evaluating the Ripple Effects of Knowledge Editing in Language Models

Reference 10

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source=arxiv_source observed=2026-08-09T13:10:15.063044Z digest=sha256:2d2e01edd18eb1b52693bb26eaf53f8fd87fbd69b035d7bbb03917739b80b7d4

Observation 6137192f-043b-4e39-b5fb-4adcf9012612 · outbound

This paper cites Knowledge Neurons in Pretrained Transformers.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Knowledge Neurons in Pretrained Transformers

Reference 11

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source=arxiv_source observed=2026-08-09T13:10:15.067876Z digest=sha256:3c0fc9176374ec575787c3355124008475a0461641b6448a985e96ee7a3de441

Observation 90265562-0c6d-4046-b329-ea28fa3ab8b5 · outbound

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

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.072691Z digest=sha256:59e17d4d34ea19d10d6ef894d43bca0f153f785b08ac1be5fc994be29d21b77b

Observation 36ff512b-1e2b-4d11-9d1f-ec896fc95344 · outbound

This paper cites an unresolved cited work.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.077462Z digest=sha256:071c8972f8f1a929f37f5312e1b4833c38628967eeb4bb162a38fa0d41c84f8b

Observation 358e1758-2ec7-4064-9f44-1f08aefb7c81 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 14

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source=arxiv_source observed=2026-08-09T13:10:15.082138Z digest=sha256:3e7626e4ee8bc4d4e01c1b51b0f5e0e2be896308e3d981d6e8988269b6306f08

Observation e3ac789f-7a15-4f91-a3c7-590c67ba8d02 · outbound

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

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.087408Z digest=sha256:c397c2ce751c752be3b1dce57889b3602e121e945103e5355e3e64367527b34e

Observation db53b8d6-de58-45a6-8479-fc5c6032ac89 · outbound

This paper cites an unresolved cited work.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-09T13:10:15.092497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.092497Z digest=sha256:414f92d2b664b24d1ca8822f5d6ca23ee29e96aec04fc0300ccfc9d772bca665

Observation a87ddff2-a9a9-4132-ba95-f9c356744cea · outbound

This paper cites Annotation Artifacts in Natural Language Inference Data.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Annotation Artifacts in Natural Language Inference Data

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.097426Z digest=sha256:84386c4644037d978d752bdd0098f563966f8c4ff70c74b34d72bfd9eb1b53b1

Observation 6a7cd2e7-06e5-4fef-80a5-ece5b6eedc6e · outbound

This paper cites Overthinking the Truth: Understanding how Language Models Process False Demonstrations.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Overthinking the Truth: Understanding how Language Models Process False Demonstrations

Reference 18

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source=arxiv_source observed=2026-08-09T13:10:15.102118Z digest=sha256:e9fd35ed2f8f358eee1b7e8af29fff10ec480b6dee67b3c627d4792e3c3184d1

Observation 387bb714-5755-4027-851a-2f479ca7d8c7 · outbound

This paper cites Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Reference 19

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source=arxiv_source observed=2026-08-09T13:10:15.106786Z digest=sha256:5229311b872d90856550bdfa635ebcb40081bc8206bb4054c754b893679afdc6

Observation 8779e499-d51f-4a5b-8182-cb7ffe8c3e13 · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Inspecting and Editing Knowledge Representations in Language Models

Reference 20

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source=arxiv_source observed=2026-08-09T13:10:15.111410Z digest=sha256:2a6514a941aef27fddcc944c9288b3637b6615e90a37fa7187a5a5ba8f8daf1b

Observation fb919412-ddf7-41d6-a4e2-db0f654b59ed · outbound

This paper cites Adversarial Examples for Evaluating Reading Comprehension Systems.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Adversarial Examples for Evaluating Reading Comprehension Systems

Reference 21

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no resolver link, observed 2026-08-09T13:10:15.116056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.116056Z digest=sha256:7351cdaf6edee6a23cde4e424711fc2d429c6351489f8de36d5a90e2d5e5cf7a

Observation 462f39d7-3fd6-4833-92b7-e62c0082de74 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Dense Passage Retrieval for Open-Domain Question Answering

Reference 22

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source=arxiv_source observed=2026-08-09T13:10:15.121256Z digest=sha256:05faf7f731d45c942a5db51a76b62608cb4a399766df6e928c660947cc71552d

Observation 6c0c11e0-80d9-479a-9560-d43e22274214 · outbound

This paper cites Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models

Reference 23

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verified exact
local_arxiv, observed 2026-08-09T13:10:15.849985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T13:10:15.126267Z digest=sha256:f1e773b4dfc36fbd93b49ad03b1de7b8a664f7c445ddcc08ce1bf5b49e3e81e5

Observation 17f44a2e-ed88-4763-b513-a982d68ef930 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Adam: A Method for Stochastic Optimization

Reference 24

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source=arxiv_source observed=2026-08-09T13:10:15.130772Z digest=sha256:d8ab0c21d7d1f41b51481420841e75e75066b933f62864819d2ac1342ee3b96f

Observation fd88ca86-1b88-406f-a13d-ff45b55ee15e · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.135648Z digest=sha256:ca73a010763e864095bde5e8718368f059a55f4831dcddb7e4dfc825d52c46d6

Observation e489afcc-68b6-4a4c-893e-fb75928eaedf · outbound

This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.140452Z digest=sha256:0bcdc2ba466e9bc4265c3122edcef1e7ce1cf3bbe93d383a85eba0f6ea95c4f1

Observation e36bfb1d-7b28-4294-bd5d-24265e722e0c · outbound

This paper cites Contrastive Decoding: Open-ended Text Generation as Optimization.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Contrastive Decoding: Open-ended Text Generation as Optimization

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.144986Z digest=sha256:a27cd950fc40198ed64426072465b4b6b51fae56734b166a1a91fb1d506d99e2

Observation 76b482cd-44fa-44ce-9a5b-4f883a2296ce · outbound

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

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge PMET: Precise Model Editing in a Transformer

Reference 28

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no resolver link, observed 2026-08-09T13:10:15.149957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.149957Z digest=sha256:f6d46ade7976933aa48f42509d49d2704356a89f98d9d9a983b989cbcf4de284

Observation 5aa4d3d0-ef3d-402c-ba75-4bb1d8ba0500 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 29

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no resolver link, observed 2026-08-09T13:10:15.154811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.154811Z digest=sha256:2eb1fba955168596aff10a53520191135b0ef8176db5802eebc46c83ffae5a5f

Observation 4aae5f1a-c834-47bc-b749-f4d9c3150820 · outbound

This paper cites Evaluating the Reversal Curse in Model Editing.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Evaluating the Reversal Curse in Model Editing

Reference 30

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no resolver link, observed 2026-08-09T13:10:15.160509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.160509Z digest=sha256:3dd22783d0ced23c58a072c4cf7b3c16b264b331845f379f273e615d9c16dc02

Observation 7ec949a9-8528-4bfe-af45-ee494a8fc928 · outbound

This paper cites Generation-Augmented Retrieval for Open-domain Question Answering.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Generation-Augmented Retrieval for Open-domain Question Answering

Reference 31

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no resolver link, observed 2026-08-09T13:10:15.165302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.165302Z digest=sha256:15e552737a3feffb1683e7699cb0cb47317234b599c1a0bdaa9a6371ff46ebb4

Observation e8aa51fa-0790-47a3-9ecd-1cd4c96162ba · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Locating and Editing Factual Associations in GPT

Reference 32

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no resolver link, observed 2026-08-09T13:10:15.170102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.170102Z digest=sha256:526d49f8991b3232a3c95caec5544d0d7300d4794ee0c19a0ff089ebbeafad70

Observation 3eb7b5bf-0bfa-4083-b3cd-82eb6caeea98 · outbound

This paper cites Mass-Editing Memory in a Transformer.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Mass-Editing Memory in a Transformer

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.174931Z digest=sha256:af43eecb976ba02a68ea0146eacaa6ad1fb36748087ad20323a55ca97890be61

Observation 99e45c05-2827-4ff3-b00f-d8b9819b30b0 · outbound

This paper cites Fast Model Editing at Scale.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Fast Model Editing at Scale

Reference 34

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no resolver link, observed 2026-08-09T13:10:15.179687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.179687Z digest=sha256:37fa59df337f33fcb6247db58d2949f21f469da1ae154052adedd0768786d342

Observation 716443fb-73e0-4377-9186-dcbdb11a701e · outbound

This paper cites Memory-Based Model Editing at Scale.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Memory-Based Model Editing at Scale

Reference 35

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no resolver link, observed 2026-08-09T13:10:15.184919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.184919Z digest=sha256:b741c71400823355488373357c933f5c25cafc5762df94688514586c69ee6c7f

Observation 9b366252-d2b0-423d-b391-86d886745df4 · outbound

This paper cites Training language models to follow instructions with human feedback.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Training language models to follow instructions with human feedback

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.189968Z digest=sha256:2292457d89b28c26a097f8f1755e4299c23a370ce64b4997210c7f5f04ec9f40

Observation 8684c6d5-d608-4b28-89e6-211d8f43cb36 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 37

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no resolver link, observed 2026-08-09T13:10:15.194510Z

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Observation 9ceaa34d-ff8c-4dfb-8b0c-78dca68898ee · outbound

This paper cites Scikit-learn: Machine Learning in Python.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Scikit-learn: Machine Learning in Python

Reference 38

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source=arxiv_source observed=2026-08-09T13:10:15.199071Z digest=sha256:cee3b9a3e051eea6532d9e0f8f324010713b28168a18e9b8e4e2d69f3159ee64

Observation f7a625ea-518d-43ed-af65-03c7890048eb · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 39

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Observation 48f49eff-2d1e-48e5-98ab-1066af833014 · outbound

This paper cites Emptying the Ocean with a Spoon: Should We Edit Models?.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Emptying the Ocean with a Spoon: Should We Edit Models?

Reference 40

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 61f4e872-8a0d-4e22-bedd-e6ed07b57268 · outbound

This paper cites Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models

Reference 41

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Observation d1f22998-05af-49db-8278-f962985d3e66 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 42

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Observation f7c76534-410d-4ba1-99d0-383aaddd148d · outbound

This paper cites an unresolved cited work.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Unresolved cited work

Reference 43

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Observation 78631631-6169-41e2-a4c6-b8428d1ad8a0 · outbound

This paper cites SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

Reference 44

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source=arxiv_source observed=2026-08-09T13:10:15.227755Z digest=sha256:197927cde2489c0dbe92e7524dc7b7ae841bd8fbc948806808927549eedf2e72

Observation f9b0c0a8-6efd-490d-8989-895d599bae83 · outbound

This paper cites Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models

Reference 45

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no resolver link, observed 2026-08-09T13:10:15.232754Z

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source=arxiv_source observed=2026-08-09T13:10:15.232754Z digest=sha256:026b56cd6557d8b97644c3c2e51c4e8832d30c9018c244e836b5aa3bfebeed59

Observation 5a23e0fe-d50b-48e7-b852-9646400bb03f · outbound

This paper cites Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models

Reference 46

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local_arxiv, observed 2026-08-09T13:10:15.504910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T13:10:15.237667Z digest=sha256:289760cc3d4d6b35c43ab8ff6a8c123c594923f07a1e628b6c3f7a75cc596af0

Observation 6c2e14c8-1467-4e0b-93bc-033d9931102c · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Fast Transformer Decoding: One Write-Head is All You Need

Reference 47

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source=arxiv_source observed=2026-08-09T13:10:15.243100Z digest=sha256:4e3a69cbbdc5df484c4da674fe6dc2faf1999e255b4fe8aff73c91ead54c4633

Observation 2caf2d0a-019e-4377-9631-8f2b1bb9be65 · outbound

This paper cites an unresolved cited work.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-08-09T13:10:15.247950Z digest=sha256:273ec12dba9780e0fa1bff58cdbfbffe379f9256f1dadd47e94099b4ab9422eb

Observation 370d7310-3f60-426e-923f-cfa8308deedd · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 49

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no resolver link, observed 2026-08-09T13:10:15.252667Z

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source=arxiv_source observed=2026-08-09T13:10:15.252667Z digest=sha256:ac973aff46b48fd5429ce097733162ee58d83c2160c93e88d2b3cd71a27e1eba

Observation e0dd50ad-9e93-4570-bd3b-9db82aef4d40 · outbound

This paper cites Attention Is All You Need.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Attention Is All You Need

Reference 50

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source=arxiv_source observed=2026-08-09T13:10:15.257265Z digest=sha256:a11852e98aa1ec212828215e9bfc942fff9926e41f6076ca64a71f71dd15c28b

Observation dfc35b9b-2fb3-4daf-88a8-79180c4fc39e · outbound

This paper cites an unresolved cited work.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-09T13:10:15.262174Z digest=sha256:7bfd71354755e1d7b90d85363fa6c73e6dddee04665b223031979e4fd4380ed1

Observation d3bd703f-d1bf-4e0a-9077-316d3b347269 · outbound

This paper cites Cross-Lingual Knowledge Editing in Large Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Cross-Lingual Knowledge Editing in Large Language Models

Reference 52

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no resolver link, observed 2026-08-09T13:10:15.267290Z

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source=arxiv_source observed=2026-08-09T13:10:15.267290Z digest=sha256:b298c6443b5b6faf58803bc2371f38f309730dc4aaaa48fa7ef01f6f54fdc9e7

Observation 5095670f-0cba-4e33-b1bb-857454fc7521 · outbound

This paper cites Retrieval-augmented Multilingual Knowledge Editing.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Retrieval-augmented Multilingual Knowledge Editing

Reference 53

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no resolver link, observed 2026-08-09T13:10:15.273218Z

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source=arxiv_source observed=2026-08-09T13:10:15.273218Z digest=sha256:445aed32f179e98967fa9ea105972f20c28eec1c7b7fd6d692583aaffa0d19ee

Observation 8982a539-b8b9-42e7-b9c7-b2064e475142 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 54

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no resolver link, observed 2026-08-09T13:10:15.278175Z

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source=arxiv_source observed=2026-08-09T13:10:15.278175Z digest=sha256:5e1cacf8462e5b6c2ac6532d5851639d6dfe4cef966ff3773fc1fb2d73ec2cad

Observation 5eebd766-39dd-4661-b414-7463e34fe5e1 · outbound

This paper cites Retrieval-Augmented Multimodal Language Modeling.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Retrieval-Augmented Multimodal Language Modeling

Reference 55

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source=arxiv_source observed=2026-08-09T13:10:15.282937Z digest=sha256:a3c4eabc818f702650642e5c51d692718cde59aeffb41c814d930404d7dd82d9

Observation a69cd337-8ef1-426d-ae78-bd22fae9f989 · outbound

This paper cites Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

Reference 56

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source=arxiv_source observed=2026-08-09T13:10:15.287800Z digest=sha256:ce62e751a7c80b6247b1151b7b71d128340aad7d30637c9ddd06366ec9512b2b

Observation 2e188135-035c-4a37-916a-3cd931e4f853 · outbound

This paper cites Can We Edit Factual Knowledge by In-Context Learning?.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Can We Edit Factual Knowledge by In-Context Learning?

Reference 57

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no resolver link, observed 2026-08-09T13:10:15.292791Z

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source=arxiv_source observed=2026-08-09T13:10:15.292791Z digest=sha256:dfd06471d6b06eaffe8190541471372e356dfd95318788111e185716703a62f6

Observation cf177700-10fb-47ed-afbc-ce43664fd6b0 · outbound

This paper cites Modifying Memories in Transformer Models.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Modifying Memories in Transformer Models

Reference 58

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source=arxiv_source observed=2026-08-09T13:10:15.297415Z digest=sha256:55bdd1517dcdf16e435881d33fb8ce6b99b3ab210b73e3cf3bcf03809407b002

Pith citing papers

Observation 3d6f28ad-acb3-4e21-91a4-7a7bb0df87c3 · inbound

MemOS: A Memory OS for AI System cites this paper.

MemOS: A Memory OS for AI System Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

Reference 74

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arxiv_id, observed 2026-05-15T08:20:22.798776Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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