Pith. sign in

Paper Citation Record · LEDGER

Improving realistic semi-supervised learning with doubly robust estimation

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.00279.

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

pith.paper-citation-record.v1
2502.00279 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:42:54.438936Z

measured 56 of 56 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

56 of 56 outbound references displayed

  • verified exact4
  • verified fuzzy22
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54acb57c-11cb-428d-adf2-af2fba758996 · outbound

This paper cites write newline.

Improving realistic semi-supervised learning with doubly robust estimation write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.049619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.049619Z digest=sha256:ddab3885355f8ed603eba040e8f4ac9ed6bd51754df5acaf0252137d1c705f58

Observation bddfbc3e-c9ee-40a5-971e-625543d8548b · outbound

This paper cites Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation.

Improving realistic semi-supervised learning with doubly robust estimation Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.372039Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.056085Z digest=sha256:3e69ed938923322a700df05a177463ff76c31a7aa7fdf74386f7134ccbb5e000

Observation 19ae7986-c167-474b-a5f8-4b89bf721652 · outbound

This paper cites E., and McGuinness, K.

Improving realistic semi-supervised learning with doubly robust estimation E., and McGuinness, K

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.356436Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.061458Z digest=sha256:fd764a85aef7e24c7847873aa3fbf7077ff3a0316d5339f425c2f6cf854f22f8

Observation 6165cc4e-dcf4-480b-9454-b7f09c9c054b · outbound

This paper cites Regularized Learning for Domain Adaptation under Label Shifts.

Improving realistic semi-supervised learning with doubly robust estimation Regularized Learning for Domain Adaptation under Label Shifts

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.066532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.066532Z digest=sha256:9e858375aed2c72ba4a8d8d24b49aaf231563f9a05bfbd17de95b1383caec845

Observation c4f662c4-f335-4fd6-aee4-65f8d4890af8 · outbound

This paper cites ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.

Improving realistic semi-supervised learning with doubly robust estimation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.071853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.071853Z digest=sha256:8ebc431dd2f639b40821069b01dcf0cacf7458175bbf79c5f6359e5530a134a4

Observation 0acfb2d6-336d-4476-9403-e57a8aeeeefe · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:55.341289Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.077421Z digest=sha256:32f878e1988a99f322602930226563f5aef9e992d6592b3c0b438d83338d18d2

Observation 16aa7b26-3bc4-429b-88d3-af288128f8f5 · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:55.324736Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.082609Z digest=sha256:0a3a2f8dc61914b14931a11f127c8e9425fd631dd80d2997be5ab1003a992e2c

Observation b54ac618-8fe7-494b-8503-2f4f8f2f9352 · outbound

This paper cites Semi-supervised learning (chapelle, o.

Improving realistic semi-supervised learning with doubly robust estimation Semi-supervised learning (chapelle, o

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.308261Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.087863Z digest=sha256:6318481278c7c48a82aa323f5a1cf0882d91a93c178ca0e23f6bab2cb377efce

Observation 5180073c-e989-493b-8207-52873e62ff4f · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters, 2018.

Improving realistic semi-supervised learning with doubly robust estimation Double/debiased machine learning for treatment and structural parameters, 2018

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.092551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.092551Z digest=sha256:cf548d7e055cb41f6e10cd7b87aba52e6655f0c10eba1c8c92fd8780b0f36d85

Observation 7d40dff4-4b93-4d95-ac7e-ed230f91555f · outbound

This paper cites M., and Syrgkanis, V.

Improving realistic semi-supervised learning with doubly robust estimation M., and Syrgkanis, V

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.281834Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.113032Z digest=sha256:c6554ee180bedba2022f00ccc35640d28d370831f11a513523b2919c3842310b

Observation 63907c7e-3772-4c2c-8633-2c8bde04058d · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

Improving realistic semi-supervised learning with doubly robust estimation An analysis of single-layer networks in unsupervised feature learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.265353Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.160819Z digest=sha256:cbe1e623ceb6ebf59ac4124d028a5cabd0d369f2f465e94cc50f2d44a3e83411

Observation 0a294753-78a0-4cce-9e39-a6ae8f7490d4 · outbound

This paper cites Class-balanced loss based on effective number of samples.

Improving realistic semi-supervised learning with doubly robust estimation Class-balanced loss based on effective number of samples

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.199469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.199469Z digest=sha256:cfe1170e680bb8bb3a4e1ed1941a2fe1940bf138ac3ac4087740664cd5542243

Observation e4559739-6730-41e8-a787-bf5de79a6753 · outbound

This paper cites SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.

Improving realistic semi-supervised learning with doubly robust estimation SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.204279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.204279Z digest=sha256:b36951a1a8ea47a6a9262404af6d6d64e70282537836f6fee05280afa51b0eaf

Observation 32013ef8-d86f-4c37-80e7-d7dc31c0ef78 · outbound

This paper cites Rda: Reciprocal distribution alignment for robust semi-supervised learning.

Improving realistic semi-supervised learning with doubly robust estimation Rda: Reciprocal distribution alignment for robust semi-supervised learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.238471Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.209243Z digest=sha256:f4aff51f619c1f8943a3ad401da6f5bdd0c827bf0a785ffe0501fe9d88b57739

Observation b70d35fb-979c-4e21-a7fa-440fe581fc91 · outbound

This paper cites Towards semi-supervised learning with non-random missing labels.

Improving realistic semi-supervised learning with doubly robust estimation Towards semi-supervised learning with non-random missing labels

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.222162Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.213531Z digest=sha256:0a70c3879b24767cd7e93836dbeaa4ec8caf3343a73fc41f832d93f8da6810ec

Observation d8a09d87-f01b-4925-9893-26c505130fa1 · outbound

This paper cites Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning.

Improving realistic semi-supervised learning with doubly robust estimation Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.204926Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.217833Z digest=sha256:cf5ce53aa63e7acffbff2beb675ddde14fd4ee0ac0d37f3533c63a9be5748ca4

Observation 52b9a243-1cf8-4085-b36a-135a9bc0147c · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.222182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.222182Z digest=sha256:b2a0a1349b7ae4a95b3e7ec52e0361a5e771b6181c0e2dbd740d6b160bc74007

Observation f2810125-941b-4ebc-914b-90918bbec0ff · outbound

This paper cites Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning.

Improving realistic semi-supervised learning with doubly robust estimation Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:42:54.666038Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.226941Z digest=sha256:263e955b096c0c2a562fdb2e7ec912a9e96fa1d4684ad6e6e981522024c17f7d

Observation 21001d9e-034d-4173-ad74-82d428b887f9 · outbound

This paper cites A unified view of label shift estimation.

Improving realistic semi-supervised learning with doubly robust estimation A unified view of label shift estimation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.232360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.232360Z digest=sha256:a9806ec0c142feddc1887c236a59ebc0e299e4fc8d52b1790a924f5047bf61ac

Observation 3e836971-aec7-4f61-b5ec-f4903fb38c1d · outbound

This paper cites and Bengio, Y.

Improving realistic semi-supervised learning with doubly robust estimation and Bengio, Y

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.237968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.237968Z digest=sha256:308bed16d785757fcc62ce3fbfaf9a673de524541e5499915559819cafc3b9b0

Observation bc9ae131-7a9e-41d5-a92d-a28b5eb574d6 · outbound

This paper cites On Non-Random Missing Labels in Semi-Supervised Learning.

Improving realistic semi-supervised learning with doubly robust estimation On Non-Random Missing Labels in Semi-Supervised Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:42:54.641997Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.242971Z digest=sha256:77d912288e49233b07b901726da4291d2d3d3fc43ceb76e8317f1c1febbad965

Observation f53c712b-9669-4847-8abf-b22d9e3e5c89 · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:55.158333Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.248386Z digest=sha256:eec172229271addc77a0b6deb6a21ea66deeb24910ec8d1e6c7ef3b94984fc95

Observation 3b9c65b6-440e-4029-9c11-ac524317da82 · outbound

This paper cites Deepmatch: Balancing deep covariate representations for causal inference using adversarial training.

Improving realistic semi-supervised learning with doubly robust estimation Deepmatch: Balancing deep covariate representations for causal inference using adversarial training

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.142291Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.253331Z digest=sha256:0558b240ae02a1d1f0debc16878e247e6751bd6bfa4cd22af37b7edc764f4803

Observation 0bfd2d47-2ece-4259-b226-8247a24bd5ab · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.258292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.258292Z digest=sha256:e888a75c2141e1d4b9f22a7e6d4062664e92838989ff273dca8f387d827b9ea4

Observation fea6c41b-6f24-4b78-b1bf-37be73df8a04 · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.263198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.263198Z digest=sha256:3396cf1c3851d30aa9f45e937f0f84435fd4ee7c45931e6e5ca008ea2d9ba4fe

Observation c14d6034-dd4b-4773-8d72-74d10a3b870c · outbound

This paper cites J., and Shin, J.

Improving realistic semi-supervised learning with doubly robust estimation J., and Shin, J

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.103821Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.268017Z digest=sha256:46a58b28d2df0e3cfc2f563a952daf29dc8f4fc7854b59013ec14117f583df88

Observation 0381e75f-5b5e-46cb-8ecf-0a46becf20e1 · outbound

This paper cites and Hinton, G.

Improving realistic semi-supervised learning with doubly robust estimation and Hinton, G

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.088923Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.273083Z digest=sha256:71cc00873fa22ad2425caab160d0b2fbfdf5e7967a3a9138737f1c1c4ecacb12

Observation 06ede96c-ebb5-4775-80bc-a0fcae2e66fc · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

Improving realistic semi-supervised learning with doubly robust estimation Temporal Ensembling for Semi-Supervised Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.288427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.288427Z digest=sha256:e4d0a4f20a930b6eef6e72c03ed2ea5b8a3a7a286ea43337f1dee88408d76235

Observation d5eb47a9-ed37-40c9-b4c6-c8ab48c586fa · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.294516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.294516Z digest=sha256:c6d49ae062f690961e955084d4923ca936f46947944352b851735d6bd8a5baa3

Observation 9b2cf12c-9124-4e72-9654-cd2c7e992a9b · outbound

This paper cites Abc: Auxiliary balanced classifier for class-imbalanced semi-supervised learning.

Improving realistic semi-supervised learning with doubly robust estimation Abc: Auxiliary balanced classifier for class-imbalanced semi-supervised learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.063401Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.300537Z digest=sha256:8821783ef092794fbbe48459a4c2706ab42a947f7b229d75ae6ae79fe97d8085

Observation 9345e5bc-001a-44fc-8c63-4266d04bf88e · outbound

This paper cites Detecting and correcting for label shift with black box predictors.

Improving realistic semi-supervised learning with doubly robust estimation Detecting and correcting for label shift with black box predictors

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.306331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.306331Z digest=sha256:d8502a997d8b37dd3527e55166a12333a058df9d79ca4efce2cccb87bee500e5

Observation 0e328fd9-80fd-4859-8db3-749ff638f232 · outbound

This paper cites Three heads are better than one: Complementary experts for long-tailed semi-supervised learning.

Improving realistic semi-supervised learning with doubly robust estimation Three heads are better than one: Complementary experts for long-tailed semi-supervised learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:55.034836Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.312003Z digest=sha256:83bb7cbeb40b5356e3817c7da29094eea6d94674c6008a57b9591f8dc1c4122c

Observation 99139c97-745a-45f9-9d2d-8c93faaa5cea · outbound

This paper cites Long-tail learning via logit adjustment.

Improving realistic semi-supervised learning with doubly robust estimation Long-tail learning via logit adjustment

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.317448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.317448Z digest=sha256:4bd1d5a079e2c89584d4c18cc3cfe0e8040d2693b21b89e41fb008284be7e183

Observation 9ac82d5f-b108-45f7-b23a-5fcda73e5163 · outbound

This paper cites Label Shift Estimators for Non-Ignorable Missing Data.

Improving realistic semi-supervised learning with doubly robust estimation Label Shift Estimators for Non-Ignorable Missing Data

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:42:54.579358Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.323004Z digest=sha256:1f5d3f406f3cf73f3543ad5dc7a9f61440e4a28cb610710b48591a1ba371b415

Observation 1f8e5c37-1b06-418c-afaa-719971b88808 · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:55.014756Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.329167Z digest=sha256:e8fbb439eae6880b7f0eb24fd30363bfe3621c661600abb567b6220f0feb74d3

Observation d85523d7-5588-43ba-a1a3-cdc9d2e269ad · outbound

This paper cites Adapting to Shifting Correlations with Unlabeled Data Calibration.

Improving realistic semi-supervised learning with doubly robust estimation Adapting to Shifting Correlations with Unlabeled Data Calibration

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T19:42:54.555599Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.338760Z digest=sha256:66dcb8aaa0f3df249732eaca0ae70f32054f612695d29d6cb5770a5a9e1e1462

Observation 88710594-0827-4c7f-a2b5-a23ec27390df · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:54.996349Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.344676Z digest=sha256:fea923e1a310ae25e3dc144a97796bc3626cd8c7614ad21918f395d2963102c3

Observation e4830ca8-bc26-48a0-80e0-3f5128530af5 · outbound

This paper cites A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects.

Improving realistic semi-supervised learning with doubly robust estimation A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T19:42:54.532113Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.350154Z digest=sha256:70ace6b997ea18be9535c28e1a5f947af7e5839b3a0eace50101f7bdaa903b24

Observation bb7b143f-c995-4c00-b1d2-8bebeb77ed08 · outbound

This paper cites Balanced meta-softmax for long-tailed visual recognition.

Improving realistic semi-supervised learning with doubly robust estimation Balanced meta-softmax for long-tailed visual recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.979332Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.355943Z digest=sha256:fabf8b5157be84151f17ac6fb8e49f77038358287c148ab36ec5e94db6e396c8

Observation a53a7e41-68a1-4d0e-a664-c7c20a0e892e · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:54.961035Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.361170Z digest=sha256:6817f5f36a4aef1f4bd990490fd79c76bb91a0eaaa5efb48189abb9e96fec2af

Observation 9ad0db48-e83c-47d1-9cc0-c7b6c09b5303 · outbound

This paper cites Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure.

Improving realistic semi-supervised learning with doubly robust estimation Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.945067Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.366460Z digest=sha256:31d9e350a2206d06f0cc90e44097b90e452092fddd704480fcf6010d84ce3268

Observation 35c796dc-610f-417c-a8c8-8fa9125d6391 · outbound

This paper cites Don't fear the unlabelled: safe semi-supervised learning via simple debiasing.

Improving realistic semi-supervised learning with doubly robust estimation Don't fear the unlabelled: safe semi-supervised learning via simple debiasing

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:42:54.506305Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.371577Z digest=sha256:c4198f0e2db242493124f9491d85f448a2053acf993678a886113dfba2a69257

Observation 5311894b-8aa3-4122-900d-998e48e9f190 · outbound

This paper cites Adapting neural networks for the estimation of treatment effects.

Improving realistic semi-supervised learning with doubly robust estimation Adapting neural networks for the estimation of treatment effects

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.376348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.376348Z digest=sha256:27be082eba7bde37a44e4709cf7476b0d16db66989c54c158ed3253fdff72b6c

Observation 5e8f1ad8-1cc9-462c-83db-28b1aed00bf6 · outbound

This paper cites A., Cubuk, E.

Improving realistic semi-supervised learning with doubly robust estimation A., Cubuk, E

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.380848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.380848Z digest=sha256:a601ba4ad92ee000a00e5c1a7f63ed418b3a916fff9fce4d6691c29c4bbc893d

Observation 1649f588-439d-4cff-a376-3cfc78acfe4f · outbound

This paper cites Are labels informative in semi-supervised learning? estimating and leveraging the missing-data mechanism.

Improving realistic semi-supervised learning with doubly robust estimation Are labels informative in semi-supervised learning? estimating and leveraging the missing-data mechanism

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.905295Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.385281Z digest=sha256:bd5f85975111cd5cb7a1808d4edb31f3fd638537aadeb3dbc00b7059af6bc36e

Observation 20c10bda-5d9f-4c1e-952e-19477d6ea1e9 · outbound

This paper cites P., Ebrahimi, S., and D'Amour, A.

Improving realistic semi-supervised learning with doubly robust estimation P., Ebrahimi, S., and D'Amour, A

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.888036Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.389689Z digest=sha256:56bb4eee0427089d500f8ac1a659f126e9e22b34094c0f7f2e8b58d37ff377d7

Observation a7041392-8a8a-47ce-bcd3-c62e8bcd63d2 · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:54.870422Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.393904Z digest=sha256:09a1b88dbf03df1fa32a19c87406bad95739598f70e828fddc2c44f6fbddab27

Observation 5fd279f5-87c1-4d82-931c-e6a0996e6f96 · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:42:54.853788Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.397969Z digest=sha256:fbb7d1199149711bc62a2ad6112dd22b4d028dd1e987b5e2883697bfe0668f69

Observation 18c07d6f-6fa0-4a2b-8d39-d7e923d9974d · outbound

This paper cites and Athey, S.

Improving realistic semi-supervised learning with doubly robust estimation and Athey, S

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.402083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.402083Z digest=sha256:2ab142e88532a23486d4ab866553def7267c135809fd42809b7761e91d40f350

Observation 6fb03c13-a5c1-4f44-ba05-6049aeb088f4 · outbound

This paper cites Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning.

Improving realistic semi-supervised learning with doubly robust estimation Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.823929Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.406465Z digest=sha256:f5d6cda57e40b737215094081185557f4bb63a5429bd262d6f22b88bad290737

Observation df923fd2-71e0-4994-abef-8f82ec1664e6 · outbound

This paper cites and Gan, K.

Improving realistic semi-supervised learning with doubly robust estimation and Gan, K

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.805150Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.410555Z digest=sha256:7b8cdb6ee76b6af9796d98a32b4d85c8722886ded91c1f2101070398e722ee05

Observation 74817487-c1ca-4b59-b2a9-9525ebe3167d · outbound

This paper cites Learning label shift correction for test-agnostic long-tailed recognition.

Improving realistic semi-supervised learning with doubly robust estimation Learning label shift correction for test-agnostic long-tailed recognition

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.787440Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.417542Z digest=sha256:8b7742d3b0627d4c871778c1ca49821b75bac146d4c5671d08f48b859234400b

Observation 536ed74d-4a7a-432a-bf56-b8781b875bea · outbound

This paper cites an unresolved cited work.

Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.423011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.423011Z digest=sha256:f0d5026ac3eaad40d7888f6010fac105a4f69559485ad1740943254198a06380

Observation 5e97ec8d-0aba-4751-a7ec-51bae2496a4a · outbound

This paper cites Towards Causal Foundation Model: on Duality between Causal Inference and Attention.

Improving realistic semi-supervised learning with doubly robust estimation Towards Causal Foundation Model: on Duality between Causal Inference and Attention

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.428521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.428521Z digest=sha256:97557499eb28023d698284e3b15928de21ec5edb88a1d430c21ac4a66e6833e9

Observation 6dfff1e6-2c79-4032-920c-bb1562e51e0c · outbound

This paper cites Dc-ssl: Addressing mismatched class distribution in semi-supervised learning.

Improving realistic semi-supervised learning with doubly robust estimation Dc-ssl: Addressing mismatched class distribution in semi-supervised learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.759527Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.434058Z digest=sha256:d05c1ae23eb366c4889b6c09a0a714ae8e47a6ab6c5874cb2a37670dab161128

Observation 864e832c-308f-4e07-a4f9-dc04473b58d8 · outbound

This paper cites Doubly-robust self-training.

Improving realistic semi-supervised learning with doubly robust estimation Doubly-robust self-training

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:42:54.737944Z

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.

source=arxiv_source observed=2026-08-09T19:42:54.438936Z digest=sha256:4712d722b869cd8494ea3bf89bd1393149faed08885f97686d4fc2ff4bd26814

Pith citing papers

No inbound Pith citation observations are available.