Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:37.196541Z
Paper Citation Record · LEDGER
Probing the Embedding Space of Transformers via Minimal Token Perturbations
As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.18011.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 77593c36-4b68-4d29-a1f8-ed470527a4ca · outbound
This paper cites Is attention explanation? an intro- duction to the debate.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Is attention explanation? an intro- duction to the debate
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.722346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b21aaae0-ccb9-43e6-8549-47e20164e352 · outbound
This paper cites The explainability of transformers: Current status and directions.Computers, 13(4):92,.
Probing the Embedding Space of Transformers via Minimal Token Perturbations The explainability of transformers: Current status and directions.Computers, 13(4):92,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.686988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e003359d-0e5b-481d-a567-06b188017503 · outbound
This paper cites [Jain and Wallace, 2019] Sarthak Jain and Byron C.
Probing the Embedding Space of Transformers via Minimal Token Perturbations [Jain and Wallace, 2019] Sarthak Jain and Byron C
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.636882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 26d231fd-ad15-4d49-8b0e-5943ba1ac913 · outbound
This paper cites [Khanet al., 2022 ] Salman Khan, Muzammal Naseer, Mu- nawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah.
Probing the Embedding Space of Transformers via Minimal Token Perturbations [Khanet al., 2022 ] Salman Khan, Muzammal Naseer, Mu- nawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.620498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation caf64a6a-8235-4859-9d23-5fc796c146f6 · outbound
This paper cites Open Sesame: Getting Inside BERT's Linguistic Knowledge.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Open Sesame: Getting Inside BERT's Linguistic Knowledge
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:00:37.137449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67f2d245-604b-4be5-9538-2778530c250c · outbound
This paper cites Linguistic Interpretability of Transformer-based Language Models: a systematic review.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Linguistic Interpretability of Transformer-based Language Models: a systematic review
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:00:37.143928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 303ce2f3-f6d0-4746-8964-fc5b2674dccd · outbound
This paper cites Word lengths are optimized for efficient communication.Proceedings of the National Academy of Sciences, 108(9):3526–3529,.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Word lengths are optimized for efficient communication.Proceedings of the National Academy of Sciences, 108(9):3526–3529,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.567693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cada0b14-c5a6-4479-acb9-e738de598ea6 · outbound
This paper cites Robinson.An Introduction to Functional Analysis.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Robinson.An Introduction to Functional Analysis
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.551471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 997b9186-3a68-49ed-9c79-a0fff98f35a1 · outbound
This paper cites On linear identifiability of learned representa- tions,.
Probing the Embedding Space of Transformers via Minimal Token Perturbations On linear identifiability of learned representa- tions,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.532912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84d9bb2b-1192-4766-a75f-9b09bbca1cb5 · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30,.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Attention is all you need.Advances in neural information processing systems, 30,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:00:37.181699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 659afcbf-9224-4d5d-9407-b09d78c11598 · outbound
This paper cites [Zhanget al., 2022 ] Chiyuan Zhang, Samy Bengio, and Yoram Singer.
Probing the Embedding Space of Transformers via Minimal Token Perturbations [Zhanget al., 2022 ] Chiyuan Zhang, Samy Bengio, and Yoram Singer
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.333468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f181c9cd-52a1-46e7-ac18-0d2912db5e23 · outbound
This paper cites Explainability for large lan- guage models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Explainability for large lan- guage models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.313652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bdcba5db-0a3c-4014-934d-3e6badd99a76 · outbound
This paper cites Inter- pretability needs a new paradigm,.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Inter- pretability needs a new paradigm,
Reference 2011
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.584954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2b4badbd-fc65-4bee-ac41-45e072cb63b1 · outbound
This paper cites Attention is not not explanation.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Attention is not not explanation
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.484591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1e5b58ea-4f8e-4e66-8b88-232955d9b087 · outbound
This paper cites BERT: Pre-training of deep bidirectional transformers for language understand- ing.
Probing the Embedding Space of Transformers via Minimal Token Perturbations BERT: Pre-training of deep bidirectional transformers for language understand- ing
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.704567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9933227-a19a-40b8-81e0-7c91656515e8 · outbound
This paper cites an unresolved cited work.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:00:37.654671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f8569ba-7bda-41ca-9071-81785920a1fc · outbound
This paper cites an unresolved cited work.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:00:37.513869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6080de41-71b7-40f1-87dc-b490649218c7 · outbound
This paper cites On Identifiability in Transformers.
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 c34de26a-b64f-40da-9ca6-72fbf24ac568 · outbound
This paper cites Survey on automatic text summarization and transformer models applicability.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Survey on automatic text summarization and transformer models applicability
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.671011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0073ac1-2add-4a79-b982-d257edd3e242 · outbound
This paper cites Learning word vectors for sentiment analysis.
Probing the Embedding Space of Transformers via Minimal Token Perturbations Learning word vectors for sentiment analysis
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:00:37.603359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.