Paper Citation Record · LEDGER

Training Data Reconstruction: Privacy due to Uncertainty?

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2412.08544.

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

pith.paper-citation-record.v1
2412.08544 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:48:55.052158Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:59:03.367720Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:59:04.964213Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy25
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d98c0b51-a0dd-45fd-a987-e486cdef5949 · outbound

This paper cites Reconstructing training data with informed adversaries.

Training Data Reconstruction: Privacy due to Uncertainty? Reconstructing training data with informed adversaries

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.404070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71f28d46-420b-4a57-a306-3d09565f4eb0 · outbound

This paper cites Deconstructing data reconstruction: Multiclass, weight decay and general losses.

Training Data Reconstruction: Privacy due to Uncertainty? Deconstructing data reconstruction: Multiclass, weight decay and general losses

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.391919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 691c101c-0969-4190-a098-f35467542e19 · outbound

This paper cites Quantifying memorization across neural language models.

Training Data Reconstruction: Privacy due to Uncertainty? Quantifying memorization across neural language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.381299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2df3a589-c7da-4cd0-888f-878a53611d00 · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures In Proc.

Training Data Reconstruction: Privacy due to Uncertainty? Model inversion attacks that exploit confidence information and basic countermeasures In Proc

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.370920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d668f2d-7a22-446f-9258-4aebabc7755c · outbound

This paper cites and Moeller M.

Training Data Reconstruction: Privacy due to Uncertainty? and Moeller M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.360307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89d737f4-5f82-416e-ac59-13dc7a60fce3 · outbound

This paper cites Inverting gradients-how easy is it to break privacy in federated learning? Advances in Neural Information Processing Systems, 33:16937–16947, 2020.

Training Data Reconstruction: Privacy due to Uncertainty? Inverting gradients-how easy is it to break privacy in federated learning? Advances in Neural Information Processing Systems, 33:16937–16947, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.349542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b49ace16-e988-4cd1-86ec-81422ea9a451 · outbound

This paper cites Bounding training data reconstruction in private (deep) learning.

Training Data Reconstruction: Privacy due to Uncertainty? Bounding training data reconstruction in private (deep) learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.338675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81dab778-05ae-4254-8b8e-37db0af5dbd3 · outbound

This paper cites Reconstructing training data from trained neural networks.

Training Data Reconstruction: Privacy due to Uncertainty? Reconstructing training data from trained neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.328161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30605b26-7202-4bf0-97ea-b1201c3fd2e4 · outbound

This paper cites an unresolved cited work.

Training Data Reconstruction: Privacy due to Uncertainty? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:48:55.316845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec5f9e64-c443-4bfb-b887-1743a5ccc99e · outbound

This paper cites Bounding training data reconstruction in dp-sgd.

Training Data Reconstruction: Privacy due to Uncertainty? Bounding training data reconstruction in dp-sgd

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.306377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b84fe425-1b38-44ce-b24d-d56d9d53eca2 · outbound

This paper cites Gradient inversion with generative image prior.

Training Data Reconstruction: Privacy due to Uncertainty? Gradient inversion with generative image prior

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.296150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95af2777-dc6c-405d-8389-8ea7cdba549d · outbound

This paper cites and Telgarsky M.

Training Data Reconstruction: Privacy due to Uncertainty? and Telgarsky M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.284561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97831901-5ec8-40ba-bbab-862758438c09 · outbound

This paper cites Learning multiple layers of features from tiny images.

Training Data Reconstruction: Privacy due to Uncertainty? Learning multiple layers of features from tiny images

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.274568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d512d256-f22f-40d3-9e7b-e4e1443ad741 · outbound

This paper cites Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation.

Training Data Reconstruction: Privacy due to Uncertainty? Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.264082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8038f0bc-672a-4f9a-b777-e3e6ddac1fa7 · outbound

This paper cites Optimizing Millions of Hyperparameters by Implicit Differentiation.

Training Data Reconstruction: Privacy due to Uncertainty? Optimizing Millions of Hyperparameters by Implicit Differentiation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.253305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62f25743-3995-4bd2-9465-e3753a1ccb3e · outbound

This paper cites and Li J.

Training Data Reconstruction: Privacy due to Uncertainty? and Li J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.242109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f482a5f2-a130-4015-946b-cda79a45f08b · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning.

Training Data Reconstruction: Privacy due to Uncertainty? Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.230958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 018a66f9-6408-4009-87d9-160d02ffe0f9 · outbound

This paper cites T., Aono Y ., Hayashi T., Wang L., and Moriai S.

Training Data Reconstruction: Privacy due to Uncertainty? T., Aono Y ., Hayashi T., Wang L., and Moriai S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.219958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79690ec3-cfcf-47a6-9df0-f012e4c960bd · outbound

This paper cites Membership inference attacks against machine learning models.

Training Data Reconstruction: Privacy due to Uncertainty? Membership inference attacks against machine learning models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.205522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d44efc23-ea0f-4c2f-a5c6-edcdc6486b6f · outbound

This paper cites Diffusion art or digital forgery? invest- igating data replication in diffusion models.

Training Data Reconstruction: Privacy due to Uncertainty? Diffusion art or digital forgery? invest- igating data replication in diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.194121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e50cea0-1987-402b-827d-f8563b07af49 · outbound

This paper cites an unresolved cited work.

Training Data Reconstruction: Privacy due to Uncertainty? Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:48:55.182474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 064d4d8a-2b67-49d4-979f-3019d868fa5f · outbound

This paper cites Dataset Distillation.

Training Data Reconstruction: Privacy due to Uncertainty? Dataset Distillation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:55.024036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 310e98ae-f973-465d-9365-faf47848bb01 · outbound

This paper cites C., Fu, Y ., Li, K., Khisti, A., Zemel, R., and Makhzani, A.

Training Data Reconstruction: Privacy due to Uncertainty? C., Fu, Y ., Li, K., Khisti, A., Zemel, R., and Makhzani, A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.170798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 931df363-f387-402a-8d79-9aeae3d89d99 · outbound

This paper cites initialisation matters: Privacy-utility analysis of overparameterized neural networks.

Training Data Reconstruction: Privacy due to Uncertainty? initialisation matters: Privacy-utility analysis of overparameterized neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.158795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8495af11-1a17-40dd-b8b8-a4a3362a1241 · outbound

This paper cites M., Kautz J., and Molchanov P.

Training Data Reconstruction: Privacy due to Uncertainty? M., Kautz J., and Molchanov P

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.146804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cb0524cd-5d42-49d6-9f62-4a9281b269f4 · outbound

This paper cites Understanding deep gradient leakage via inversion influence functions.

Training Data Reconstruction: Privacy due to Uncertainty? Understanding deep gradient leakage via inversion influence functions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.134233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ba668d7-faab-4215-917d-ef2d0ef46736 · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Training Data Reconstruction: Privacy due to Uncertainty? iDLG: Improved Deep Leakage from Gradients

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:55.044279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c79375e4-edef-4f7d-99b9-1257a2067f5f · outbound

This paper cites and Blaschko M.

Training Data Reconstruction: Privacy due to Uncertainty? and Blaschko M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.121417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d01febb-36fe-4519-8040-390bef2fd392 · outbound

This paper cites Deep leakage from gradients.

Training Data Reconstruction: Privacy due to Uncertainty? Deep leakage from gradients

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:55.109093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 91d15c3e-f10f-48b4-86a5-48b4bec7eb0c · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights Training Data Reconstruction: Privacy due to Uncertainty?

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:59:05.085352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.