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Paper Citation Record · LEDGER

Open-Set Object Detection By Aligning Known Class Representations

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.20701.

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

pith.paper-citation-record.v1
2412.20701 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:17:02.928174Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

33 of 33 outbound references displayed

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  • verified fuzzy26
  • unresolved6
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b5b7ad1-9a48-49a6-825e-4b093e2c2c0c · outbound

This paper cites Towards open set deep networks.

Open-Set Object Detection By Aligning Known Class Representations Towards open set deep networks

Reference 1

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Observation 2247b8e4-e4cb-48a0-b8a7-6d6a20f43330 · outbound

This paper cites The overlooked elephant of object detection: Open set.

Open-Set Object Detection By Aligning Known Class Representations The overlooked elephant of object detection: Open set

Reference 2

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Observation 964cdfdc-9ec9-4d52-8fe5-abced1cfde75 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Open-Set Object Detection By Aligning Known Class Representations The pascal visual object classes (voc) challenge

Reference 3

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Observation 2b2ee923-43ec-43eb-ad8e-07b72ff406a0 · outbound

This paper cites Generative OpenMax for Multi-Class Open Set Classification.

Open-Set Object Detection By Aligning Known Class Representations Generative OpenMax for Multi-Class Open Set Classification

Reference 4

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Observation bcbb66b2-629f-457d-9ca2-c6a626206951 · outbound

This paper cites Ow-detr: Open-world detection transformer.

Open-Set Object Detection By Aligning Known Class Representations Ow-detr: Open-world detection transformer

Reference 5

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation be90aab7-39bf-47eb-86f1-361109629c12 · outbound

This paper cites Expanding low-density latent regions for open-set object detection.

Open-Set Object Detection By Aligning Known Class Representations Expanding low-density latent regions for open-set object detection

Reference 6

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 54e31333-1efe-4520-99a3-5312cc86c96a · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Open-Set Object Detection By Aligning Known Class Representations Momentum contrast for unsupervised visual rep- resentation learning

Reference 7

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Observation ecb3f7e4-fe54-466e-8cda-cd715f162024 · outbound

This paper cites Towards open world object de- tection.

Open-Set Object Detection By Aligning Known Class Representations Towards open world object de- tection

Reference 8

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Observation 4c6fd8ea-86f8-4fd2-816c-9e0a06ee78f8 · outbound

This paper cites Supervised contrastive learning.

Open-Set Object Detection By Aligning Known Class Representations Supervised contrastive learning

Reference 9

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Observation 1db4f116-84ea-46d5-b42a-c6a73cd50e75 · outbound

This paper cites Learning open-world object proposals without learning to classify.

Open-Set Object Detection By Aligning Known Class Representations Learning open-world object proposals without learning to classify

Reference 10

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Observation 7fc0c4dd-4530-46c1-aad3-41fc9f702644 · outbound

This paper cites Microsoft coco: Common objects in context.

Open-Set Object Detection By Aligning Known Class Representations Microsoft coco: Common objects in context

Reference 11

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Observation 6839efa1-22fa-45ff-ae87-0b74488b8dbe · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Open-Set Object Detection By Aligning Known Class Representations Swin transformer: Hierarchical vision transformer using shifted windows

Reference 12

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Observation 6ab06633-4d17-45e7-a498-12ceaab99c57 · outbound

This paper cites Dropout sampling for robust object detection in open-set conditions.

Open-Set Object Detection By Aligning Known Class Representations Dropout sampling for robust object detection in open-set conditions

Reference 13

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Observation 82fca0ab-219a-4fbd-9562-ce697427a52d · outbound

This paper cites Open set learning with counterfac- tual images.

Open-Set Object Detection By Aligning Known Class Representations Open set learning with counterfac- tual images

Reference 14

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Observation ab660763-3212-4484-aa53-2f9926c3b22b · outbound

This paper cites C2ae: Class conditioned auto-encoder for open-set recognition.

Open-Set Object Detection By Aligning Known Class Representations C2ae: Class conditioned auto-encoder for open-set recognition

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 66976c54-ead7-4f76-8a6f-f18cf4e6ce51 · outbound

This paper cites Spatiotempo- ral contrastive video representation learning.

Open-Set Object Detection By Aligning Known Class Representations Spatiotempo- ral contrastive video representation learning

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5e6f9382-c770-4999-b00a-bd5e2cf67061 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Open-Set Object Detection By Aligning Known Class Representations Learning transferable visual models from natural language supervi- sion

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f4264e8e-f379-48ea-b077-e417ed0ee031 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Open-Set Object Detection By Aligning Known Class Representations Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 18

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Observation daf243e6-d660-4594-a6a1-d41d5d6b1c2d · outbound

This paper cites Fsce: Few-shot object detection via contrastive pro- posal encoding.

Open-Set Object Detection By Aligning Known Class Representations Fsce: Few-shot object detection via contrastive pro- posal encoding

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 70533ece-e75b-4d66-97d4-6032b649abf0 · outbound

This paper cites Fsce: Few-shot object detection via contrastive pro- posal encoding.

Open-Set Object Detection By Aligning Known Class Representations Fsce: Few-shot object detection via contrastive pro- posal encoding

Reference 20

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Observation 9f5f9320-bdd3-4c68-b920-705f3d640249 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

Open-Set Object Detection By Aligning Known Class Representations Fcos: Fully convolutional one-stage object detection

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4cb7d170-6b95-46e5-8efa-197dec44de22 · outbound

This paper cites Two-branch objectness-centric open world de- tection.

Open-Set Object Detection By Aligning Known Class Representations Two-branch objectness-centric open world de- tection

Reference 22

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Observation 29903063-b80f-434a-ada7-c854e5a07c34 · outbound

This paper cites Two-branch objectness-centric open world de- tection.

Open-Set Object Detection By Aligning Known Class Representations Two-branch objectness-centric open world de- tection

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8eff7ede-86df-473f-af75-2493b9dd57c3 · outbound

This paper cites Uc-owod: Unknown-classified open world object detection.

Open-Set Object Detection By Aligning Known Class Representations Uc-owod: Unknown-classified open world object detection

Reference 24

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Observation b81aa05f-2a88-46b7-a545-dc19c478fee2 · outbound

This paper cites Clustering- friendly representation learning via instance discrimination and feature decorrelation.

Open-Set Object Detection By Aligning Known Class Representations Clustering- friendly representation learning via instance discrimination and feature decorrelation

Reference 25

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1b772b0d-5010-46a3-96dd-e88a4b743069 · outbound

This paper cites Classification- reconstruction learning for open-set recognition.

Open-Set Object Detection By Aligning Known Class Representations Classification- reconstruction learning for open-set recognition

Reference 26

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 55b9e2a2-9135-4354-a4d2-91a2cda98217 · outbound

This paper cites Open-world object detection via discriminative class prototype learning.

Open-Set Object Detection By Aligning Known Class Representations Open-world object detection via discriminative class prototype learning

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0fe44949-f4be-4750-83e1-f7daceb93127 · outbound

This paper cites Contrastive learning for label efficient semantic seg- mentation.

Open-Set Object Detection By Aligning Known Class Representations Contrastive learning for label efficient semantic seg- mentation

Reference 28

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6d880bfc-f820-4ef8-9e2c-c2062a8f152a · outbound

This paper cites Learning placeholders for open-set recognition.

Open-Set Object Detection By Aligning Known Class Representations Learning placeholders for open-set recognition

Reference 29

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6628eb0d-5ed5-4af9-bf3f-77eddb73ed08 · outbound

This paper cites Open-set object detection using classification-free object proposal and instance-level contrastive learning.

Open-Set Object Detection By Aligning Known Class Representations Open-set object detection using classification-free object proposal and instance-level contrastive learning

Reference 30

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Observation c5fd8f7b-5f2f-4f86-91f1-8594198a5fb0 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Open-Set Object Detection By Aligning Known Class Representations Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 39670b5b-577c-47c8-9749-5e03071fcc13 · outbound

This paper cites Prob: Probabilistic objectness for open world object detection.

Open-Set Object Detection By Aligning Known Class Representations Prob: Probabilistic objectness for open world object detection

Reference 32

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Observation 836b66ad-6197-4fa6-919a-237e591e09bb · outbound

This paper cites Furthermore, when used with a ConvNet backbone, our proposed method im- proves the performance further and obtains significant per- formance than other methods.

Open-Set Object Detection By Aligning Known Class Representations Furthermore, when used with a ConvNet backbone, our proposed method im- proves the performance further and obtains significant per- formance than other methods

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.