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Paper Citation Record · LEDGER

Black-Box Knowledge Transfer across Distinct Feature Sets

As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2608.12403.

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

pith.paper-citation-record.v1
2608.12403 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:20:57.919009Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

62 of 62 outbound references displayed

  • verified exact6
  • verified fuzzy34
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 470b12a5-9e11-469a-8933-3502a9bf0ea4 · outbound

This paper cites N., Bates, S., Fannjiang, C., Jordan, M.

Black-Box Knowledge Transfer across Distinct Feature Sets N., Bates, S., Fannjiang, C., Jordan, M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.704626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.431897Z digest=sha256:af8dc5a20538c2bd886cc08b323c3bd0c59505d5a1357c590651b219b08ca828

Observation 35557e67-d15e-4a05-9d77-9356af41d96a · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

Black-Box Knowledge Transfer across Distinct Feature Sets PPI++: Efficient Prediction-Powered Inference

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.439250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.439250Z digest=sha256:629a12a863c1ae706fc4afd7f9cde8b4fd2cc8f6c2884d21c7b5284ade70e168

Observation 344f978e-0362-47d5-a694-1e11504e9d64 · outbound

This paper cites T., and Chakraborty, A.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Chakraborty, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.684143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.448740Z digest=sha256:beeedadac655d8b871fdb4e7189a11efc6180c95fa2d1e48adf7ec98aca591ae

Observation 46fc86d0-1967-4a2a-9fd0-b4d0b35b60de · outbound

This paper cites D., Sklar, M., Berk, R., Buja, A., and Zhao, L.

Black-Box Knowledge Transfer across Distinct Feature Sets D., Sklar, M., Berk, R., Buja, A., and Zhao, L

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.661069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.461741Z digest=sha256:766095e288b7c4f3136d8bea283457bb9d781a7a6b695061a8ab54dcddf0bc94

Observation 488fdc52-bf80-4079-9be9-0040575ba9e8 · outbound

This paper cites (2024), Transfer learning for high-dimensional quantile regression with distribution shift, arXiv preprint arXiv:2411.19933.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Transfer learning for high-dimensional quantile regression with distribution shift, arXiv preprint arXiv:2411.19933

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-14T04:20:58.670054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.472341Z digest=sha256:67157d6fd420f9b2a7a375f0c5bed69719509f04792ad24eead50bd336c39ef3

Observation 8f915990-2f47-4c87-8679-5e1646839db2 · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

Black-Box Knowledge Transfer across Distinct Feature Sets ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.482472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.482472Z digest=sha256:f34a36ea1ac8b91951233e74410218baedfac408a4052c10eb959ace0c893e21

Observation fe073985-f5e4-4e6e-9dba-2194f9550143 · outbound

This paper cites A Recent Survey of Heterogeneous Transfer Learning.

Black-Box Knowledge Transfer across Distinct Feature Sets A Recent Survey of Heterogeneous Transfer Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.489328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.489328Z digest=sha256:c4dacedd47643533b5c96cee45244ff2f2ff5734e161f049d4b65c4f14c6ac82

Observation 9d83c715-b08e-4e62-a8d5-2639e70cdf57 · outbound

This paper cites and Schmidt-Hieber, J.

Black-Box Knowledge Transfer across Distinct Feature Sets and Schmidt-Hieber, J

Reference 8

Resolution
verified exact
doi, observed 2026-08-14T04:20:58.106070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.497314Z digest=sha256:cf871ab84ffa8a2566702447b9896147c242d7c67e3783d015a0844a804d3d9f

Observation 3e1ef470-b5f4-4582-a253-a445d4630194 · outbound

This paper cites (1996), Stacked regressions, Machine learning, 24, 49--64.

Black-Box Knowledge Transfer across Distinct Feature Sets (1996), Stacked regressions, Machine learning, 24, 49--64

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.642737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.504752Z digest=sha256:ce814327cd5619e97de78aacfb3e58979196162490b8d1f05cb50797e0042fcd

Observation a5cfa611-c060-4a17-ac6b-f7c45a3b337e · outbound

This paper cites T., and Li, H.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Li, H

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.622614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.510275Z digest=sha256:2d6698035306c6bc8c1c4536d6108d7fbfb8c7d125ce484c77849d394785a283

Observation c6af29bc-9f71-450f-aa53-0d9c74a5ece4 · outbound

This paper cites Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure.

Black-Box Knowledge Transfer across Distinct Feature Sets Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.516745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.516745Z digest=sha256:b8e9711af1aa0995210a92c06d13f8b753ca3259fe69c6a3ec46753f560a574d

Observation ab1c4031-e788-4e9d-a610-ef115856d9e5 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.603470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.523948Z digest=sha256:1481b13f94b15a205e4ed7b4499a3fe0732e08c5927554d4d68c8daa808b8ab0

Observation f381975f-82dc-479e-bb80-47ec46797906 · outbound

This paper cites and Cai, T.

Black-Box Knowledge Transfer across Distinct Feature Sets and Cai, T

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.580004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.529312Z digest=sha256:1d82714481a5c68750ae31906e70c13da9f42b3df12cfd960ef108a3d76e0a93

Observation 81eef3e0-55a3-42ad-ad5f-e84f8f1340ec · outbound

This paper cites Heterogeneous transfer learning for high-dimensional regression with feature mismatch.

Black-Box Knowledge Transfer across Distinct Feature Sets Heterogeneous transfer learning for high-dimensional regression with feature mismatch

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.536648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.536648Z digest=sha256:796a2b7d16478017dd3812467e470633b4f674ac4d926aa44002fb88e67c18f9

Observation 82062339-9b64-431c-ac2c-4eb73da66475 · outbound

This paper cites (2018), Double/Debiased Machine Learning for Treatment and Structural Parameters, The Econometrics Journal, 21, C1--C68.

Black-Box Knowledge Transfer across Distinct Feature Sets (2018), Double/Debiased Machine Learning for Treatment and Structural Parameters, The Econometrics Journal, 21, C1--C68

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.545387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.545387Z digest=sha256:e71d07c32ba3f4cb2286ca4d3d519b7012aad6e0a52c3992ffab96312dfd2349

Observation 5a9c9afe-0345-42fa-86c9-def730eff1e5 · outbound

This paper cites and Khoshgoftaar, T.

Black-Box Knowledge Transfer across Distinct Feature Sets and Khoshgoftaar, T

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.560991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.554201Z digest=sha256:82dd68fec4aa451d99ac2f54b85c17f771e01120abf9598276609373f050b97e

Observation 1c1b2ac8-4dc6-476d-8343-313995a25192 · outbound

This paper cites (2024), Optimal and safe estimation for high-dimensional semi-supervised learning, Journal of the American Statistical Association, 119, 2748--2759.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Optimal and safe estimation for high-dimensional semi-supervised learning, Journal of the American Statistical Association, 119, 2748--2759

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.544224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.564807Z digest=sha256:3aebf6f6680a6bbbcefd0b68be664d077377adac4254523b4777b5ecca8a6dc6

Observation a6de7325-25e1-4f60-ac69-be11bcd4e45b · outbound

This paper cites (2024), Deep Learning for Regression Analysis of Interval-Censored Data, Electronic Journal of Statistics, 18, 4292--4321.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Deep Learning for Regression Analysis of Interval-Censored Data, Electronic Journal of Statistics, 18, 4292--4321

Reference 18

Resolution
verified exact
doi, observed 2026-08-14T04:20:58.064473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.571347Z digest=sha256:36fb9478cab885545fb1120ece7cc8a01c7d129615f353d6d7bb7fbb7bfeb16e

Observation 27ce7e74-676f-4f02-a2a3-3dbe3bd9a246 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.525716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.578014Z digest=sha256:2c291537f3937ed953f3e5e7e39a236ad37fa0e558d4d9db3485153389d66a4f

Observation bde259ce-1daf-41f7-a19b-762b66439d47 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.502822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.590070Z digest=sha256:57f85b312521b078364941e42bff5f6fa9484cef9743caa612beed16f01bb04a

Observation b309f38a-1aa7-43dc-b113-08553bd9af67 · outbound

This paper cites (2024), How Do Noise Tails Impact on Deep ReLU Networks? The Annals of Statistics, 52, 1845--1871.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), How Do Noise Tails Impact on Deep ReLU Networks? The Annals of Statistics, 52, 1845--1871

Reference 21

Resolution
verified exact
doi, observed 2026-08-14T04:20:58.040363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.600039Z digest=sha256:f98c7373a1e4351ba48a39a03721fca144f16a4fa6537828ea090fc0d807fc3c

Observation 7edfee23-2af3-4da9-8fdb-752cd7a55017 · outbound

This paper cites (2024), LiDAR-CS dataset: LiDAR point cloud dataset with cross-sensors for 3D object detection, in 2024 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), LiDAR-CS dataset: LiDAR point cloud dataset with cross-sensors for 3D object detection, in 2024 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.480546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.606099Z digest=sha256:3f17de5c8714414c2416a8d58f0a7b04b105cfc4862f6599e8249eb066880ccd

Observation 65ea35de-0852-443a-8ab1-7bd248afb18d · outbound

This paper cites (2024), Transfusion: Covariate-shift robust transfer learning for high-dimensional regression, in International Conference on Artificial Intelligence and Statistics, PMLR, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Transfusion: Covariate-shift robust transfer learning for high-dimensional regression, in International Conference on Artificial Intelligence and Statistics, PMLR, pp

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.461417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.612759Z digest=sha256:ddd29b95b4d420d8df2722f3449a6d7388e3f14e0267d5a774d302a5e1b0b8bf

Observation 00829d72-21ce-4025-8ba2-744a4c28ef4b · outbound

This paper cites (2017), The OLCI neural network swarm (ONNS): A bio-geo-optical algorithm for open ocean and coastal waters, Frontiers in Marine Science, 4, 140.

Black-Box Knowledge Transfer across Distinct Feature Sets (2017), The OLCI neural network swarm (ONNS): A bio-geo-optical algorithm for open ocean and coastal waters, Frontiers in Marine Science, 4, 140

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.443188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.623259Z digest=sha256:20e7099c5ff0332c2625332b2d99436566713884cc48f99f9ba721b4ab14ba1d

Observation 49b479ae-420a-4c80-97e2-8cef094376e3 · outbound

This paper cites A., Bailey, S.

Black-Box Knowledge Transfer across Distinct Feature Sets A., Bailey, S

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.421733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.631871Z digest=sha256:36744160f875ed2febcd3d30603c9c0d5c7179aeb4889245c6d75e84e8c084c4

Observation f881052e-37a4-4aed-902e-1f23012db523 · outbound

This paper cites D., Craven, C.

Black-Box Knowledge Transfer across Distinct Feature Sets D., Craven, C

Reference 26

Resolution
verified exact
doi, observed 2026-08-14T04:20:58.013292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.637008Z digest=sha256:c0876568e38f3d80819586497cfeb3523189dfd5e78f9bb51bf4aee934422acf

Observation bf109fa4-86cf-462c-ac94-782b7be673f6 · outbound

This paper cites (2024), Meet the 6th-generation Waymo Driver , Waymo Blog (Waypoint), accessed: 2026-04-07.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Meet the 6th-generation Waymo Driver , Waymo Blog (Waypoint), accessed: 2026-04-07

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.397993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.646738Z digest=sha256:b2ea3366d1a5781723d25a1115b3025e0ae499ecf1fdfbf30040eaeef3759fb1

Observation 6ba6f9cd-8177-4cf2-944e-2ad34bfd41a1 · outbound

This paper cites and Langer, S.

Black-Box Knowledge Transfer across Distinct Feature Sets and Langer, S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.379721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.652340Z digest=sha256:53b3f52955b1f3a73a86e2194eeca7efd3099089f66aa3e229d2a2aa66175cfc

Observation ba43a723-6ebe-4207-9286-22654bf20ce1 · outbound

This paper cites (2011), What you saw is not what you get: Domain adaptation using asymmetric kernel transforms, in CVPR 2011, IEEE, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2011), What you saw is not what you get: Domain adaptation using asymmetric kernel transforms, in CVPR 2011, IEEE, pp

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.358816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.658513Z digest=sha256:78d6487f7a5a59059a68033850bcc37ccf47167d150e7ac03776a224a51a839b

Observation f7c76dd6-6bd2-4a24-b8ff-5715d6e462ed · outbound

This paper cites T., and Li, H.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Li, H

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.339537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.664580Z digest=sha256:305dce8538ebb40a01df6e8238be5e969d221426f6d741e4bed572ff98ad8428

Observation 3632b6fe-3ff6-4a39-a6f6-8fa899b44e9e · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.320637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.669221Z digest=sha256:f8e62f1e07e993e7884fe494f3042c9f053dc1bad22f0b30ff77c54f9a4fd463

Observation 835f8aae-dc0c-4a6c-a8d6-2b3280449112 · outbound

This paper cites T., and Li, H.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Li, H

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.294818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.674482Z digest=sha256:f94c07732e552160bbfb82db60842bc709f3ac78c16610890dd1e4dad7ed1141

Observation 9fbd46ab-475c-44ed-9975-a86e9908981d · outbound

This paper cites and Li, Y.

Black-Box Knowledge Transfer across Distinct Feature Sets and Li, Y

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.272349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.681430Z digest=sha256:6f01ba0fd3460fd7704ad5998198afa3c28774a5db17b921004272d5173e31e2

Observation ec7e8eb9-be45-4b67-84eb-5073818ad953 · outbound

This paper cites and Witten, D.

Black-Box Knowledge Transfer across Distinct Feature Sets and Witten, D

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.253246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.688065Z digest=sha256:05fb2e14d2624ba16172f81c1cfb561350f8b1a056f15d0662088a909d188177

Observation 8f548852-a2df-4bdc-b0d9-f68da174272b · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.231820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.693446Z digest=sha256:b0a406c97ae87a0db3151e8435e911ebca121614bee6fb9b8c0d7b993b3b23f9

Observation ea63678a-6965-46ed-bee9-97ef0b609c6f · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.209955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.703083Z digest=sha256:c2100d46937462fabae8c5f1b5691a55e9510ffb9ba3f2042e2867b6105c38b5

Observation 806fdbe9-5608-4b1d-91ef-32ad0d31415b · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.188581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.709742Z digest=sha256:3ae0c6e15ea18d572599b88ec199f06c580ee5aa8ac79e7473ca32dfb365f1c1

Observation ebed265b-4b9a-4b73-bd9f-ab2b210cd47d · outbound

This paper cites E., Maritorena, S., Mitchell, B.

Black-Box Knowledge Transfer across Distinct Feature Sets E., Maritorena, S., Mitchell, B

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.158352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.721377Z digest=sha256:832a309b1775e524aa82d580588cf9a84d2ecc21de2ca746af626302aae0c1c7

Observation 67ef9817-f80d-42d4-a3b6-fc63100fb241 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.139617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.730032Z digest=sha256:70e9e481d61497ebfbfa3c3a7a9393fa267aca9a7e944b19cc51a33865c37f0b

Observation 0e081ea7-d675-436e-b4b8-77c7574dd7e9 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:59.118619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.739084Z digest=sha256:a48066a6a8a7244240836692e2f86545f0351cb643ada7fbf3cb5580d63c0388

Observation 8a0aa502-3de8-405d-b9b4-cbe6645a5eba · outbound

This paper cites W., Cannings, T.

Black-Box Knowledge Transfer across Distinct Feature Sets W., Cannings, T

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.092579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.745968Z digest=sha256:9f4842996e47f3b028b5ef7d7ec4687b9d751ba18dad282c412abfc55057b0d2

Observation 3a4dbc4e-fde1-495a-add8-bcc1e1dc8f73 · outbound

This paper cites (2020), Nonparametric regression using deep neural networks with ReLU activation function , The Annals of Statistics, 48, 1875 -- 1897.

Black-Box Knowledge Transfer across Distinct Feature Sets (2020), Nonparametric regression using deep neural networks with ReLU activation function , The Annals of Statistics, 48, 1875 -- 1897

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.752493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.752493Z digest=sha256:c286a4647b73b685e1cd12879242fcdee2fcf130b5c76a5b3821ce400bded199

Observation 17bb40de-00a4-4511-a587-bedf3cbb2067 · outbound

This paper cites SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning.

Black-Box Knowledge Transfer across Distinct Feature Sets SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.760551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.760551Z digest=sha256:c3d5c3c17da1987b8198b42624490ce135429baa25a95eaac8a658cb967fe4aa

Observation 699afa85-1571-4667-ba8c-360a4a61480d · outbound

This paper cites (2015), Weakly-shared deep transfer networks for heterogeneous-domain knowledge propagation, in Proceedings of the 23rd ACM international conference on Multimedia, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2015), Weakly-shared deep transfer networks for heterogeneous-domain knowledge propagation, in Proceedings of the 23rd ACM international conference on Multimedia, pp

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.067216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.772790Z digest=sha256:8ace594f52c8e4f7048a38dd29e718eea2225d3683016ec6ff4e56dacd29d830

Observation 5754bc83-ce39-411c-bc64-2b3b34a07a1d · outbound

This paper cites (2024), A general M-estimation theory in semi-supervised framework, Journal of the American Statistical Association, 119, 1065--1075.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), A general M-estimation theory in semi-supervised framework, Journal of the American Statistical Association, 119, 1065--1075

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.044720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.780058Z digest=sha256:a3452d147924288a70c0edcd364ab69713a14cc1c03cd8c87ba547b16e4c2ddf

Observation fa1bb3bc-5a41-479a-bd48-a77b9d67b3d0 · outbound

This paper cites (2026), Prediction-Powered Conditional Inference, arXiv preprint arXiv:2603.05575.

Black-Box Knowledge Transfer across Distinct Feature Sets (2026), Prediction-Powered Conditional Inference, arXiv preprint arXiv:2603.05575

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.788379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.788379Z digest=sha256:4452799917093645f6f5d646e642b648883b076d6b1e6df22222288533061ed5

Observation bfef7098-b0dc-4276-ad4e-347a9fa92b66 · outbound

This paper cites (2015), Transitive transfer learning, in Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2015), Transitive transfer learning, in Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:59.019407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.799351Z digest=sha256:05c51fd24b6beb647c03f845142ba67b9c4ce36f996ff9970122a11b22e7e0e4

Observation 477a2b7a-4070-4b49-affb-862740310317 · outbound

This paper cites and Feng, Y.

Black-Box Knowledge Transfer across Distinct Feature Sets and Feng, Y

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.990381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.806046Z digest=sha256:ce3c72ea652440824c4550b494ff996b8e56f98e9fc0623f47b13452f9c5b1a4

Observation 05b64018-8c94-4936-8d2f-04fde20a61fb · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.813243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.813243Z digest=sha256:c6d9959f274276c8772ca398b6b4969f026f73dcb6b28c42f5c82ae5c129f388

Observation 2e6c8212-2230-41bf-9561-60935dcff469 · outbound

This paper cites (2022), A compilation of global bio-optical in situ data for ocean-colour satellite applications--version three, Earth System Science Data Discussions, 2022, 1--61.

Black-Box Knowledge Transfer across Distinct Feature Sets (2022), A compilation of global bio-optical in situ data for ocean-colour satellite applications--version three, Earth System Science Data Discussions, 2022, 1--61

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.964923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.820435Z digest=sha256:e77da040657896e2a47f2b71dc307d1edd524fa388da057dc1a9a45b634a0d93

Observation 4bef59bb-a479-4429-8f01-1af78724fe86 · outbound

This paper cites J., Polley, E.

Black-Box Knowledge Transfer across Distinct Feature Sets J., Polley, E

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:57.827420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:57.827420Z digest=sha256:a1bb9b676f642be79f821bb872cce874f532909bbdef820b00c1280bf4b3660b

Observation 0c352f93-020d-48a0-850e-e7ffbb9c35d8 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:58.943765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.832883Z digest=sha256:55d7c504a8c846902e50402f7f91455d878fd880dcd9281465447c8cffc0c013

Observation 4e466466-db7c-40f7-aa69-42ba777a3c65 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:20:58.924063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.840100Z digest=sha256:5aeaca9d8e04b4dd9695898546ec9534706bb33395db5b36d383d5c96d3595a9

Observation 96e7bd76-0f1e-4cfe-8d10-f3be3fcc259a · outbound

This paper cites and Breckon, T.

Black-Box Knowledge Transfer across Distinct Feature Sets and Breckon, T

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.892731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.846932Z digest=sha256:8c525b417324846fab4d5dcaf03ea3115115705177c5349eee52833923b26089

Observation 56ab0ff8-8e9f-485e-8778-c7208bb664b8 · outbound

This paper cites (2006), All of nonparametric statistics, Springer.

Black-Box Knowledge Transfer across Distinct Feature Sets (2006), All of nonparametric statistics, Springer

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.870300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.853681Z digest=sha256:005c6a68718baafeed3a066d076012e0d881e205377ab86239c834bce730221c

Observation d9ba6af2-f878-42a8-b6e9-8b7cb9b0f76a · outbound

This paper cites (2001), Adaptive regression by mixing, Journal of the American Statistical Association, 96, 574--588.

Black-Box Knowledge Transfer across Distinct Feature Sets (2001), Adaptive regression by mixing, Journal of the American Statistical Association, 96, 574--588

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.848080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.864468Z digest=sha256:20d550bb23163009ba82ba8dcd4258b46514df834c3b9c9df6994218b426ff6e

Observation 9959354e-cc9e-4564-8743-2c58c63a7bf8 · outbound

This paper cites and Terada, Y.

Black-Box Knowledge Transfer across Distinct Feature Sets and Terada, Y

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.828695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.872699Z digest=sha256:6ceef27abe748a0d603fe641b05ac91bf48ac7a4ec6dd55942f03adeb6489aa3

Observation 572de7f3-0059-4975-8340-5fdc523abdc4 · outbound

This paper cites (2020), Heterogeneous few-shot model rectification with semantic mapping, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3878--3891.

Black-Box Knowledge Transfer across Distinct Feature Sets (2020), Heterogeneous few-shot model rectification with semantic mapping, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3878--3891

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.807632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.887547Z digest=sha256:4a2e0efddf2f48e5cc5f38069097bd915ada4e70f8e8d264ed2465b7ff676652

Observation cdfff006-53e9-4f80-ae14-44856c80b006 · outbound

This paper cites and Bradic, J.

Black-Box Knowledge Transfer across Distinct Feature Sets and Bradic, J

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.773021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.893357Z digest=sha256:59132b6512e3c69f31815fa2b1b47f2fbb58c2f5f6f7e101128e94bb6727f9c1

Observation 2a5fa370-13ce-4c87-bd46-31470a41ebd1 · outbound

This paper cites SMART: A Spectral Transfer Approach to Multi-Task Learning.

Black-Box Knowledge Transfer across Distinct Feature Sets SMART: A Spectral Transfer Approach to Multi-Task Learning

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:20:58.144657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.903066Z digest=sha256:0b1bf2ed9bfd8aaa49435f0deeb3ab03aa46a0021ff68d69abab2a90a7281d90

Observation af07d65c-c36d-44ee-b7a6-ac6bd12526b3 · outbound

This paper cites (2026 b ), Trans-glasso: A transfer learning approach to precision matrix estimation, Journal of the American Statistical Association, 1--13.

Black-Box Knowledge Transfer across Distinct Feature Sets (2026 b ), Trans-glasso: A transfer learning approach to precision matrix estimation, Journal of the American Statistical Association, 1--13

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.751011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.911552Z digest=sha256:0eaba9f9c62f63ccbbac94e2ab1efd5fe394f9bebe0fa9722986a1ce91e9321d

Observation 1b327174-d0a8-4963-b0bf-37bc60f4b345 · outbound

This paper cites and Cand \`e s, E.

Black-Box Knowledge Transfer across Distinct Feature Sets and Cand \`e s, E

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:20:58.724544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T04:20:57.919009Z digest=sha256:fbfa6e88551ea1eb0b1d44a9d8fbe956cbf5a47a68178b62f8e01ceef28d3389

Pith citing papers

No inbound Pith citation observations are available.