Paper Citation Record · LEDGER

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.09047.

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

pith.paper-citation-record.v1
2608.09047 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:22:13.854097Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy27
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd80eb94-22f8-4f28-844c-e3263884088c · outbound

This paper cites an unresolved cited work.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:22:15.005055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f78f15b6-48ad-4b01-af3a-c85dc5c44444 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.536525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d552f6-dceb-4abb-bebc-de4628a2d253 · outbound

This paper cites an unresolved cited work.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:22:14.990597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 825c9601-e2fe-4809-acac-bfe24e3d4a63 · outbound

This paper cites European Conference on Computer Vision , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks European Conference on Computer Vision , pages =

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.975349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5ac77d7-8e05-46e6-870c-a1fc9c056e23 · outbound

This paper cites Technical report , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Technical report , year =

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.961184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8581bb9b-d9aa-49a9-b05c-a6eeb7ae7c79 · outbound

This paper cites Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence , pages =

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.946297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02d354ca-4012-4e35-93d2-4655fefd5669 · outbound

This paper cites Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T04:22:14.184751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd02c784-f918-46ab-84a1-a5eeeb429f24 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.931111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 568bc8c0-721a-4457-81db-6b2e8ac275ee · outbound

This paper cites A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T04:22:14.063477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8e620f7-2476-4113-a3a2-eb7973a73eea · outbound

This paper cites Transactions on Machine Learning Research , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Transactions on Machine Learning Research , year =

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.914905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84f617ab-279c-45df-998d-a5a356c563ac · outbound

This paper cites IEEE Transactions on Information Forensics and Security , volume =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks IEEE Transactions on Information Forensics and Security , volume =

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.900489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf815966-2c21-4eca-8286-83158c1694c9 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.881664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55c7698d-6ac3-4e28-ba23-4affbe576eb1 · outbound

This paper cites International Conference on Learning Representations , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks International Conference on Learning Representations , year =

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.867689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d0213ad-4234-47f9-85e0-6f0bbedea227 · outbound

This paper cites DINOv3.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks DINOv3

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.620594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf9bf24-41ea-42ea-965c-5cbd7698eeb5 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.853327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2715df2d-8f8a-4e01-b32b-cf3b8b7c1ae3 · outbound

This paper cites Visualizing Data Using.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Visualizing Data Using

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.840081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 544b41c8-6085-42dc-9e1d-51bfd159ae43 · outbound

This paper cites an unresolved cited work.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.648282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e9b18f-e07a-47d8-a49b-7b7b8dab2a07 · outbound

This paper cites an unresolved cited work.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:22:14.815491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8567f8d-fcbb-4468-83fb-ff17c2cfa8bb · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.659588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c268efef-5ead-47c2-ac0d-50d4d8043c4c · outbound

This paper cites 2019 IEEE Symposium on Security and Privacy , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks 2019 IEEE Symposium on Security and Privacy , pages =

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.761182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f664977c-b1f9-4c58-930e-93d9a366c84b · outbound

This paper cites Network and Distributed System Security Symposium , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Network and Distributed System Security Symposium , year =

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.748278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e21db6e-a747-46f3-97da-e81ff324b6b7 · outbound

This paper cites and Kesidis, George , booktitle =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks and Kesidis, George , booktitle =

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.732465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97e6c5b0-092f-485f-893f-ce8839310c66 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the 34th International Conference on Machine Learning , pages =

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.711889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 947fd48c-3f83-43bc-b113-cc030a6ea3f0 · outbound

This paper cites Sampling Techniques for Supervised or Unsupervised Tasks , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Sampling Techniques for Supervised or Unsupervised Tasks , pages =

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.681898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd6da476-ca01-4a18-80ad-2cdb557357d7 · outbound

This paper cites International Conference on Learning Representations , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks International Conference on Learning Representations , year =

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.700806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e1c80cd-13c2-4ec4-9037-b94d343dcd61 · outbound

This paper cites Proceedings of the 32nd International Conference on Machine Learning , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the 32nd International Conference on Machine Learning , pages =

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.631764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ac39d60-11da-4224-84ac-1928fdc65a6b · outbound

This paper cites an unresolved cited work.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.719975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db03ded8-2b5f-4214-990a-3911363a28b4 · outbound

This paper cites Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , volume =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , volume =

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.601814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a920587-daf6-4cf9-b9f9-67675aafb171 · outbound

This paper cites Least Squares Quantization in.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Least Squares Quantization in

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.737884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a1cdec-fbfe-467b-b0a8-3484d6ef779b · outbound

This paper cites 2019 , howpublished =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks 2019 , howpublished =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.567373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f7d5cf7-ae8b-4eaa-940d-4738fa4c30c7 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year =

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.553602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b33a0f56-3762-464b-8a6d-4b1536712ca0 · outbound

This paper cites European Conference on Computer Vision , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks European Conference on Computer Vision , pages =

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.531904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7951473c-3516-4b0e-807f-a63757fceb5c · outbound

This paper cites Pattern Recognition , volume =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Pattern Recognition , volume =

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.515675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d42d6fec-c613-4b22-8ed9-d06d17dfcf99 · outbound

This paper cites International Conference on Learning Representations , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks International Conference on Learning Representations , year =

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.476327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed4e6f7f-ca75-4879-a2e3-e5c43bcce88a · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.448247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7daf4bcd-2a2b-4851-ba94-ea15aa79d61a · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.430748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1873a649-7d0c-42f2-82ed-b9e0aa80c506 · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Escaping the Big Data Paradigm with Compact Transformers

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.828035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddccf873-7f9d-481e-9e6f-a1ff120b489d · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the 38th International Conference on Machine Learning , series =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.835476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452c96e5-0ba8-417d-a716-064a8bce1d77 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.392593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b62cc80c-d589-442b-99ed-6338fe241d81 · outbound

This paper cites Transactions on Machine Learning Research , year =.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks Transactions on Machine Learning Research , year =

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:13.844723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab726ad-a5f8-4ee1-a7f8-d31f5506b278 · outbound

This paper cites IEEE transactions on neural networks and learning systems , volume=.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks IEEE transactions on neural networks and learning systems , volume=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.334829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 044451b7-797b-43e9-b822-1094c224153e · outbound

This paper cites International Journal of Computer Vision , volume=.

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks International Journal of Computer Vision , volume=

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:14.284745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.