Paper Citation Record · LEDGER

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.06300.

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

pith.paper-citation-record.v1
2608.06300 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:55.698625Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy23
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38297559-653e-425e-b242-06b61d918902 · outbound

This paper cites Universal Adversarial Attacks on Spoken Language Assessment Systems,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Universal Adversarial Attacks on Spoken Language Assessment Systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:56.055210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae111b6c-5a90-42cb-9ff2-1e0e4769bcf1 · outbound

This paper cites Proficiency Assessment of L2 Spoken En- glish Using Wav2Vec 2.0,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Proficiency Assessment of L2 Spoken En- glish Using Wav2Vec 2.0,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:56.043756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2dab65e-eb5a-4c25-9ce0-7b76c5864bfb · outbound

This paper cites Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:56.033271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47592499-3255-44bf-9e65-4a6a5171953a · outbound

This paper cites Automatic Assessment of Conversational Speaking Tests,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Automatic Assessment of Conversational Speaking Tests,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:56.022951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e358881-4157-45cf-a233-e27124a6b6ca · outbound

This paper cites Assessment of L2 Oral Proficiency using Speech Large Language Models,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Assessment of L2 Oral Proficiency using Speech Large Language Models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:56.011703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a13a4512-959a-4e30-aa16-044a9195b58a · outbound

This paper cites The NTNU System at the S&I Challenge 2025 SLA Open Track,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors The NTNU System at the S&I Challenge 2025 SLA Open Track,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:55.618455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9374f961-0647-4a54-825d-ad52c6d3dbf5 · outbound

This paper cites One Whisper to Grade Them All,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors One Whisper to Grade Them All,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.993452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bb69498-c147-4ddf-af09-ee015e13374e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.982736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0897432-df19-46c8-b9f6-424dd423d625 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.972487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccb186a1-83e8-4e08-b21d-2bbad337973a · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Super- vision,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Robust Speech Recognition via Large-Scale Weak Super- vision,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.961995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b02c38eb-8b38-466a-ad4c-e3992c1f3c85 · outbound

This paper cites Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.951228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2fad056-8728-402d-96d7-4053e01bbc73 · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.940822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ae3e30a-8a88-43aa-9f6f-6966a8656ec1 · outbound

This paper cites Understanding Intermediate Layers Using Linear Classifier Probes,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Understanding Intermediate Layers Using Linear Classifier Probes,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.930033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c4d647d-ecc6-4fa7-9ff0-ef55f8739976 · outbound

This paper cites Network Dis- section: Quantifying Interpretability of Deep Visual Representations,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Network Dis- section: Quantifying Interpretability of Deep Visual Representations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.919830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0161115c-aaeb-4388-bbaf-096d844da5fb · outbound

This paper cites Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V),.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.908282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c142f55-eb93-470e-85ca-d6daa5e01974 · outbound

This paper cites Analysing Bias in Spoken Language Assessment Using Concept Activation Vectors,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Analysing Bias in Spoken Language Assessment Using Concept Activation Vectors,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.896495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d8bf299-088b-4466-b568-07b2ca9fe08e · outbound

This paper cites Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.885227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ea15acb-ce9d-4b87-9aed-cb6e670de896 · outbound

This paper cites Scaling and Evaluating Sparse Au- toencoders,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Scaling and Evaluating Sparse Au- toencoders,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.873846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8931a37-1d0e-437c-a36d-a77b125de5f3 · outbound

This paper cites Automatic Assessment of English as a Second Language,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Automatic Assessment of English as a Second Language,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.862709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b648417e-556f-408d-a47e-efca8c29e602 · outbound

This paper cites The BULATS Online Speaking Test,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors The BULATS Online Speaking Test,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.850920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44739ce7-691e-4409-a250-273214783485 · outbound

This paper cites Cambridge: Cambridge University Press, 2001.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Cambridge: Cambridge University Press, 2001

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:55.675255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c366d7-c9bd-42e3-9d16-324e2af40547 · outbound

This paper cites The Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors The Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:55.678830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e9faae-2a7e-4377-a085-09b10bbd00e1 · outbound

This paper cites Introducing the Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Introducing the Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.839901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4cf073f-310a-4eb6-a77d-648f68192470 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.829140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8ba0acd-2c4b-440f-a2e0-e2f02b8ea4d7 · outbound

This paper cites V oice Gender Classifier,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors V oice Gender Classifier,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.817114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 552c467e-51db-4dea-95a2-5650271c7a4a · outbound

This paper cites Speak & Improve Challenge 2025: Tasks and Baseline Systems.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Speak & Improve Challenge 2025: Tasks and Baseline Systems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:55.694472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a1c066-954d-46ce-8632-a95ab86edc28 · outbound

This paper cites Speak & Improve Challenge 2025,.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors Speak & Improve Challenge 2025,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:55.805560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.