Paper Citation Record · LEDGER

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.13152.

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

pith.paper-citation-record.v1
2411.13152 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:49:53.292978Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy23
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d938653c-487c-443b-9647-c9144562822a · outbound

This paper cites AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:53.149061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d4cf6d-b0c0-4e71-82ba-c105a1346080 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Imagenet: A large-scale hierarchical image database

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:53.155635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e7507d-cb3a-4f8c-8624-a88a59d6f541 · outbound

This paper cites Domain-adversarial training of neural networks.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Domain-adversarial training of neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.805727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f61ede5-7598-47f7-9db9-c7f75ea32f2a · outbound

This paper cites Semi-supervised learning by entropy minimization.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Semi-supervised learning by entropy minimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.787622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f78aa5c3-d3d4-4022-969a-5578aaa711fc · outbound

This paper cites Classification-aware semi-supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Classification-aware semi-supervised domain adaptation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.770594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 384c3f11-0b17-414e-bb81-65f6dcfe394e · outbound

This paper cites Deep residual learning for image recognition.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Deep residual learning for image recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:53.175502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e869f4a0-f675-4dfc-a8e1-fca476fe380b · outbound

This paper cites Bidirectional adversarial training for semi-supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Bidirectional adversarial training for semi-supervised domain adaptation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.744526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b96d37c-6052-43e4-a7bb-ead1ba1b22d3 · outbound

This paper cites Attract, perturb, and explore: Learning a feature alignment network for semi- supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Attract, perturb, and explore: Learning a feature alignment network for semi- supervised domain adaptation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.731271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fae7864-177b-4c4f-9f37-2293b249beff · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Semi-Supervised Classification with Graph Convolutional Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:53.195226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c2dc57-9e1a-47e8-a515-de31c89f3141 · outbound

This paper cites Online meta-learning for multi-source and semi-supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Online meta-learning for multi-source and semi-supervised domain adaptation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.717851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bfbdc69e-72c9-4d84-9fed-c42e6eaa44ff · outbound

This paper cites Cross- domain adaptive clustering for semi-supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Cross- domain adaptive clustering for semi-supervised domain adaptation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.703613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 159dd769-e3ea-40cb-9550-4501c180020a · outbound

This paper cites Semi-supervised domain adaptation by covariance matching.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Semi-supervised domain adaptation by covariance matching

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.684103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b06f0cfd-728f-4bee-acf0-970f5fdbb73d · outbound

This paper cites Adjustment and alignment for unbiased open set domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Adjustment and alignment for unbiased open set domain adaptation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.667260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2c18a4d-af34-4786-8e9a-9b4d97e8bbe2 · outbound

This paper cites Semi-supervised domain adaptation for dependency parsing.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Semi-supervised domain adaptation for dependency parsing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.653324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdfc12af-fd73-47a5-9813-f47f99cec9ea · outbound

This paper cites Guiding pseudo-labels with uncertainty estimation for source-free un- supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Guiding pseudo-labels with uncertainty estimation for source-free un- supervised domain adaptation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.639459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55cd2128-eb31-4a6e-b149-093adbee62c2 · outbound

This paper cites Gcan: Graph convolutional adversarial network for unsupervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Gcan: Graph convolutional adversarial network for unsupervised domain adaptation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.625689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1f7627e-8607-41d4-82d9-c7f4289a3584 · outbound

This paper cites Unsupervised domain adap- tation of object detectors: A survey.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Unsupervised domain adap- tation of object detectors: A survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.613075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96fbb337-eb79-4d1e-84ff-951732f61fd7 · outbound

This paper cites Moment matching for multi-source domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Moment matching for multi-source domain adaptation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.598695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0ce272f6-e424-4b44-aa51-279c94667631 · outbound

This paper cites Mul- timatch: Multi-task learning for semi-supervised domain generalization.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Mul- timatch: Multi-task learning for semi-supervised domain generalization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.583016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46bbef1c-43eb-4e59-918e-099302938f28 · outbound

This paper cites Semi-supervised domain adaptation via minimax entropy.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Semi-supervised domain adaptation via minimax entropy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.562648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 993d3ebc-07a3-4762-b637-a67c4339ba03 · outbound

This paper cites Clda: Contrastive learning for semi-supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Clda: Contrastive learning for semi-supervised domain adaptation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.538208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c3c36f3-523e-4ac9-bd5d-227ddfcbb8ef · outbound

This paper cites Rethinking domain generalization for face anti- spoofing: Separability and alignment.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Rethinking domain generalization for face anti- spoofing: Separability and alignment

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.516630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f821dd68-f2b6-4411-a4c0-5e1be1d95f89 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Deep hashing network for unsupervised domain adaptation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.498679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f1d75cc-b3b6-4fc7-b651-2e5ca71cd230 · outbound

This paper cites Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.479419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 762533ee-7166-4c05-b2b1-4b51baaab6a5 · outbound

This paper cites Multi-level Consistency Learning for Semi-supervised Domain Adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Multi-level Consistency Learning for Semi-supervised Domain Adaptation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:53.276705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00eb3560-0aab-4581-9a82-bb4c7e60e6a8 · outbound

This paper cites Deep co-training with task decomposition for semi- supervised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Deep co-training with task decomposition for semi- supervised domain adaptation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.459275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5d825b61-9e96-4955-9dfb-ef2dee30cd32 · outbound

This paper cites Semi-supervised domain adaptation with source label adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Semi-supervised domain adaptation with source label adaptation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.440893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09840df5-24f6-49a6-926e-752af1e7aa70 · outbound

This paper cites Make the u in uda matter: Invariant consistency learning for unsuper- vised domain adaptation.

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Make the u in uda matter: Invariant consistency learning for unsuper- vised domain adaptation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:53.420357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.