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.

pith.paper-citation-record.v1
2506.18011 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:37.196541Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.