Paper Citation Record · LEDGER

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning

As of 6 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.26973.

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

pith.paper-citation-record.v1
2606.26973 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:00:28.839647Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

36 of 36 outbound references displayed

verified exact3
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60e38d1f-f798-4611-a0ee-d7c872f8615a · outbound

This paper cites Advances in neural information processing systems27(2014).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems27(2014)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b632bb9-7f25-44c8-b70a-b56ddf2c9098 · outbound

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

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:51.059881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 869a1804-6242-4b43-a0e7-8b566a23aa84 · outbound

This paper cites Advances in neural information processing systems32(2019).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems32(2019)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ce4cb7-c045-439e-a1b5-a0c678716ee0 · outbound

This paper cites In: 2010 20th international conference on pattern recognition.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: 2010 20th international conference on pattern recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8727a159-6904-4202-868d-8ee4a893de64 · outbound

This paper cites SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:51.062733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44555616-1e96-4ff9-9d72-fbb1d1adfcb9 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the AAAI conference on artificial intelligence

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ad65c9-d8ac-4277-8f86-0af87ecc1931 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: 2009 IEEE conference on computer vision and pattern recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31fc288-bc56-470a-99d4-79bd217a87ad · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ec2d1e-ca4c-41b0-a40b-c654bf3d1d43 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb914343-5cb9-4c3f-a18a-a7980be3f4de · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a34513-8c8a-44ca-9799-043efc9a9858 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f91d1b-71f7-483a-9a62-7efb71e9eb65 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the AAAI conference on artificial intelligence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a95781-4c5b-49bd-bc23-03b35ffc06a3 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems (2025).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning IEEE Transactions on Neural Networks and Learning Systems (2025)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247a3c2b-5bf9-4101-a6e5-c91901ca3ff0 · outbound

This paper cites an unresolved cited work.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e2edb3-f5a2-46e2-a72b-3893a46a34fc · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Temporal Ensembling for Semi-Supervised Learning

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:39:51.068486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1168a87d-5a41-4859-b352-6c7a34f08d0b · outbound

This paper cites In: Workshop on challenges in representation learning, ICML.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Workshop on challenges in representation learning, ICML

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a49a24-f0fb-4759-8b62-2823110c69de · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9900349-84ad-4117-ab50-2ef601a5ecda · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0d01b9-f0c7-4597-a464-c6568a6f8f68 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence41(8), 1979–1993 (2018).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning IEEE transactions on pattern analysis and machine intelligence41(8), 1979–1993 (2018)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da15bf6e-89f5-4842-9bc8-f1d81d70a22a · outbound

This paper cites Advances in neural information processing systems31(2018).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems31(2018)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 023a95f4-399e-4fa6-83fb-147035a8560d · outbound

This paper cites In: IJCAI.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: IJCAI

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801babde-48b3-4de6-9c38-6df63d1ed5e6 · outbound

This paper cites In: Proceedings of the 35th International Conference on Neural Information Processing Systems.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the 35th International Conference on Neural Information Processing Systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d1eb05-34b1-4850-a098-b0deb7d8a7e7 · outbound

This paper cites Advances in neural information processing systems33, 596–608 (2020).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems33, 596–608 (2020)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5f1811-9105-4333-8201-0e42a50a0bdf · outbound

This paper cites Advances in neural information processing systems30(2017).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems30(2017)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb033003-ec89-4a23-8c07-dec6beb541c2 · outbound

This paper cites In: European Conference on Computer Vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: European Conference on Computer Vision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986963d2-f638-408c-a96b-16889540e032 · outbound

This paper cites USB: A Unified Semi-supervised Learning Benchmark for Classification.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning USB: A Unified Semi-supervised Learning Benchmark for Classification

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-26T05:08:59.867810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ce55985d-deed-4144-802c-78a392aa1452 · outbound

This paper cites FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:51.071464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ad57b959-cf7c-41da-8e99-04c9a4c0474c · outbound

This paper cites In: European Conference on Computer Vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: European Conference on Computer Vision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3a6138-5295-4e2f-adf4-54891ff393d5 · outbound

This paper cites A Survey on Deep Semi -Supervised Learning.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning A Survey on Deep Semi -Supervised Learning

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T05:08:59.871584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 842ee66c-ea71-41c4-964a-633c000f3b58 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence46(12), 8334–8347 (2024).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning IEEE Transactions on Pattern Analysis and Machine Intelligence46(12), 8334–8347 (2024)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123c9009-98f3-42e8-aa81-9642726dfd7b · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data (TKDD)16(2), 1–27 (2021).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning ACM Transactions on Knowledge Discovery from Data (TKDD)16(2), 1–27 (2021)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f46e54d-b9b7-4510-b565-a3eadf45c47f · outbound

This paper cites In: European conference on computer vision.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: European conference on computer vision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77192443-2151-44d7-ba9a-48415ca1670f · outbound

This paper cites Advances in neural information processing systems33, 5824–5836 (2020).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems33, 5824–5836 (2020)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828efa3c-6a30-42c5-9697-3f8f871fc58a · outbound

This paper cites Wide Residual Networks.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Wide Residual Networks

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:39:51.056931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 30a3a8f9-881c-46b2-8dec-d3c4fc0ba17c · outbound

This paper cites Advances in neural information processing systems34, 18408–18419 (2021).

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning Advances in neural information processing systems34, 18408–18419 (2021)

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885c55f7-2a8d-47a1-ab95-36a9d8e080ff · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:28.839647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.