Paper Citation Record · LEDGER

On Identifiability in Transformers

As of 20 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 7 inbound Pith citation observations for arXiv:1908.04211.

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

pith.paper-citation-record.v1
1908.04211 v4

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:58:53.311191Z

measured 56 of 56 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:37.098270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:42:16.124037Z

Reference resolution

49 of 49 outbound references displayed

verified exact2
verified fuzzy22
unresolved24
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f74aad54-9e40-43cc-ada8-6b5ce92a081f · outbound

This paper cites A BERT Baseline for the Natural Questions.

On Identifiability in Transformers A BERT Baseline for the Natural Questions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.133516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3a8c9e-17fa-440d-b038-522b43084f5c · outbound

This paper cites Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?.

On Identifiability in Transformers Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:58:53.630069Z

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.

Observation b7bc76cd-955f-41e3-9e61-8f8a0c4bcfcd · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

On Identifiability in Transformers Neural Machine Translation by Jointly Learning to Align and Translate

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.142812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f1f77b-aa15-42b2-abd9-3c69d839bb78 · outbound

This paper cites Bellman and Karl Johan str \"o m.

On Identifiability in Transformers Bellman and Karl Johan str \"o m

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.931375Z

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.

Observation 1f8506f2-d3f2-4c2a-9beb-9fdc8f5fc5d1 · outbound

This paper cites Brown, Stephen A.

On Identifiability in Transformers Brown, Stephen A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.920963Z

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.

Observation 4b0ee127-7aa5-422b-8455-e178b26a6d88 · outbound

This paper cites What Does BERT Look At? An Analysis of BERT's Attention.

On Identifiability in Transformers What Does BERT Look At? An Analysis of BERT's Attention

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.154824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35acef93-5806-4b1a-9433-ddd044ce590f · outbound

This paper cites Visualizing and Measuring the Geometry of BERT.

On Identifiability in Transformers Visualizing and Measuring the Geometry of BERT

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.159141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41f26ad-837d-4f72-bfef-0b5ca326c92a · outbound

This paper cites Universal transformers.

On Identifiability in Transformers Universal transformers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.911104Z

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.

Observation 73bc7a39-c9db-487b-9fce-35ab09ce1d16 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.

On Identifiability in Transformers BERT: pre-training of deep bidirectional transformers for language understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.901087Z

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.

Observation 59a37f41-52bb-4dc6-97ec-4d9f483c3164 · outbound

This paper cites Dolan and Chris Brockett.

On Identifiability in Transformers Dolan and Chris Brockett

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.890896Z

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.

Observation 94bf0c2b-7380-44db-a562-c2f2e83786ed · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

On Identifiability in Transformers Understanding the difficulty of training deep feedforward neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.879633Z

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.

Observation 75dee84f-6cb6-47d8-9c08-9a1ccf262815 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

On Identifiability in Transformers Gaussian Error Linear Units (GELUs)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.177287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae400b3d-f2b3-4065-baea-058580f47dff · outbound

This paper cites an unresolved cited work.

On Identifiability in Transformers Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:58:53.868772Z

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.

Observation 1687f85c-0f52-4f23-92df-9cabe680fc84 · outbound

This paper cites an unresolved cited work.

On Identifiability in Transformers Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:58:53.858146Z

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.

Observation d346aa0b-67a1-4b1e-b654-5a45d9998ef5 · outbound

This paper cites Microsoft translator at wmt 2019: Towards large-scale document-level neural machine translation.

On Identifiability in Transformers Microsoft translator at wmt 2019: Towards large-scale document-level neural machine translation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.847358Z

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.

Observation 8a29dfe3-6757-43f6-8d38-7acdff17f984 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

On Identifiability in Transformers Adam: A Method for Stochastic Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.191205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeae91fa-05c7-4f21-a4bf-796d73a722aa · outbound

This paper cites Attention is (not) all you need for commonsense reasoning.

On Identifiability in Transformers Attention is (not) all you need for commonsense reasoning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.836629Z

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.

Observation ec4fd3ad-5e73-4d0a-b51f-78a67866d002 · outbound

This paper cites Albert: A lite bert for self-supervised learning of language representations.

On Identifiability in Transformers Albert: A lite bert for self-supervised learning of language representations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.198150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce65e208-cac8-497c-a133-7b2d52bdcc5f · outbound

This paper cites Open Sesame: Getting Inside BERT's Linguistic Knowledge.

On Identifiability in Transformers Open Sesame: Getting Inside BERT's Linguistic Knowledge

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.201568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12daa22-ff2d-4e85-9343-03f53a22e7ff · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

On Identifiability in Transformers RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.205312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1726a06c-9233-46c6-931a-7b1bd7d16523 · outbound

This paper cites Extracting syntactic trees from transformer encoder self-attentions.

On Identifiability in Transformers Extracting syntactic trees from transformer encoder self-attentions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.819541Z

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.

Observation 83a23a39-9870-4c73-8adf-e808b850c159 · outbound

This paper cites Are Sixteen Heads Really Better than One?.

On Identifiability in Transformers Are Sixteen Heads Really Better than One?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.211989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9097d92-760f-4672-86f2-a8aa80daf38a · outbound

This paper cites Investigating the Successes and Failures of BERT for Passage Re-Ranking.

On Identifiability in Transformers Investigating the Successes and Failures of BERT for Passage Re-Ranking

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.215593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f1d55dc-4a08-4c2d-9638-926ef3b9955f · outbound

This paper cites Peters, Mark Neumann, Luke Zettlemoyer, and Wen - tau Yih.

On Identifiability in Transformers Peters, Mark Neumann, Luke Zettlemoyer, and Wen - tau Yih

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.809048Z

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.

Observation 983e18b8-ac7a-4d37-aafb-cf9dfd4c1b9c · outbound

This paper cites o rner, Hinrich Sch \.

On Identifiability in Transformers o rner, Hinrich Sch \

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.799188Z

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.

Observation 1b488205-59dd-4b03-9bbd-983fdfcacb18 · outbound

This paper cites Learning to Deceive with Attention-Based Explanations.

On Identifiability in Transformers Learning to Deceive with Attention-Based Explanations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.226145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aba314c-3256-401a-bd92-0d6ae8152117 · outbound

This paper cites Improving language understanding by generative pre-training.

On Identifiability in Transformers Improving language understanding by generative pre-training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.788562Z

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.

Observation 8c303378-3295-4f0d-8712-1c01503568b5 · outbound

This paper cites Language models are unsupervised multitask learners.

On Identifiability in Transformers Language models are unsupervised multitask learners

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.233924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0dd69b5-9d9c-4a34-8635-3545333f2194 · outbound

This paper cites An analysis of encoder representations in transformer-based machine translation.

On Identifiability in Transformers An analysis of encoder representations in transformer-based machine translation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.772535Z

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.

Observation cbdcabc2-146d-405d-9a84-621836929db3 · outbound

This paper cites an unresolved cited work.

On Identifiability in Transformers Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:58:53.762475Z

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.

Observation f3055383-139a-4d7b-865a-a6b9ed834aa9 · outbound

This paper cites Deep inside convolutional networks: Visualising image classification models and saliency maps.

On Identifiability in Transformers Deep inside convolutional networks: Visualising image classification models and saliency maps

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.752493Z

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.

Observation 51e51d98-2b42-4208-a2cc-40c50052d828 · outbound

This paper cites An analysis of attention mechanisms: The case of word sense disambiguation in neural machine translation.

On Identifiability in Transformers An analysis of attention mechanisms: The case of word sense disambiguation in neural machine translation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.741539Z

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.

Observation fc54cb90-280b-4bab-97bc-fa315fd64163 · outbound

This paper cites BERT rediscovers the classical NLP pipeline.

On Identifiability in Transformers BERT rediscovers the classical NLP pipeline

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.731259Z

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.

Observation 8ebab20b-a393-4044-b301-1abe91e82fac · outbound

This paper cites Manning, and Yoram Singer.

On Identifiability in Transformers Manning, and Yoram Singer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.720737Z

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.

Observation 8ee805d1-e827-4277-a37d-ae2c76c33ad3 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

On Identifiability in Transformers Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.709245Z

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.

Observation 8cc4927c-8c0a-4bff-b4f7-a3040913da9f · outbound

This paper cites Visualizing Attention in Transformer-Based Language Representation Models.

On Identifiability in Transformers Visualizing Attention in Transformer-Based Language Representation Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.263300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fe64bb-d723-4d37-abf4-51697592ae06 · outbound

This paper cites Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned.

On Identifiability in Transformers Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.699096Z

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.

Observation 911b3616-1320-4eee-8282-ced3bb6b8995 · outbound

This paper cites Attending to Mathematical Language with Transformers.

On Identifiability in Transformers Attending to Mathematical Language with Transformers

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:58:53.516256Z

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.

Observation 6927b9a2-8151-4cfb-8842-5a86d5c179b8 · outbound

This paper cites Neural Network Acceptability Judgments.

On Identifiability in Transformers Neural Network Acceptability Judgments

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.274383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15d4a6e4-ff5e-4b4b-8fb6-8f0d3d46a8e3 · outbound

This paper cites Attention is not not Explanation.

On Identifiability in Transformers Attention is not not Explanation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.278844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a016438-3966-4496-bc6c-6986f7c23240 · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

On Identifiability in Transformers A broad-coverage challenge corpus for sentence understanding through inference

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.688166Z

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.

Observation 00d863bf-d16e-4862-9feb-c0e0cd2de30e · outbound

This paper cites Wong, Fandong Meng, Lidia S.

On Identifiability in Transformers Wong, Fandong Meng, Lidia S

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.677922Z

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.

Observation b826a9c6-c782-4432-98aa-dde59e02080e · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

On Identifiability in Transformers XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.289063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a6031b-4205-498c-87b8-53be3df748cf · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding.

On Identifiability in Transformers Xlnet: Generalized autoregressive pretraining for language understanding

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:53.667814Z

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.

Observation 45cae2cc-f9d7-46ed-a4b8-7fbbda3de17c · outbound

This paper cites Adding Interpretable Attention to Neural Translation Models Improves Word Alignment.

On Identifiability in Transformers Adding Interpretable Attention to Neural Translation Models Improves Word Alignment

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.296228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e9c8d9-06e9-4ad6-b6bc-c94a23fc232a · outbound

This paper cites write newline.

On Identifiability in Transformers write newline

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.299911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83812952-4fdd-469a-bedf-6906bfbd2bbc · outbound

This paper cites @esa (Ref.

On Identifiability in Transformers @esa (Ref

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.304061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc48f631-c6f1-4467-8871-49683fdaa021 · outbound

This paper cites an unresolved cited work.

On Identifiability in Transformers Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.307636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5419d0f-fed3-48eb-ae8b-9712cd5eb8c9 · outbound

This paper cites 妤 ' x P·uy n gʅ8Oj D q ^hژ.

On Identifiability in Transformers 妤 ' x P·uy n gʅ8Oj D q ^hژ

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-08-14T13:58:53.311191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 175b10e9-8a08-4553-8fdc-777b0e4bd12a · inbound

TabTransformer: Tabular Data Modeling Using Contextual Embeddings cites this paper.

TabTransformer: Tabular Data Modeling Using Contextual Embeddings On Identifiability in Transformers

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:32:31.296446Z

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.

Observation 888e2002-2eb8-4f1a-9065-5696c05af852 · inbound

Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation cites this paper.

Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation On Identifiability in Transformers

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:42:16.127211Z

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.

Observation 6080de41-71b7-40f1-87dc-b490649218c7 · inbound

Probing the Embedding Space of Transformers via Minimal Token Perturbations cites this paper.

Probing the Embedding Space of Transformers via Minimal Token Perturbations On Identifiability in Transformers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T19:00:37.098270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd43240-299f-460b-b5ac-184373dd68f9 · inbound

Towards Transparent AI: A Survey on Explainable Large Language Models cites this paper.

Towards Transparent AI: A Survey on Explainable Large Language Models On Identifiability in Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:38.869579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1554c404-456a-4417-bf34-18971ceceec8 · inbound

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification cites this paper.

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification On Identifiability in Transformers

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:20.728496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1c3292-16c8-45b7-b35b-d0d3fd1a8c07 · inbound

Provably Learning Multi-Head Attention with Queries cites this paper.

Provably Learning Multi-Head Attention with Queries On Identifiability in Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T21:45:27.642304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc581b4-b572-4423-82a8-e8121b416603 · inbound

Provably Learning Multi-Head Attention with Queries cites this paper.

Provably Learning Multi-Head Attention with Queries On Identifiability in Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:40.561992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.