Paper Citation Record · LEDGER

Learning to Detect and Segment for Open Vocabulary Object Detection

As of 6 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2212.12130.

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

pith.paper-citation-record.v1
2212.12130 v7

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T10:24:52.653023Z

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 exact5
verified fuzzy31
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1853fddf-c2dc-438f-ba4d-d8d7d0cd85fc · outbound

This paper cites Zero-shot object detection.

Learning to Detect and Segment for Open Vocabulary Object Detection Zero-shot object detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.799353Z

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 14aa6167-a86e-463e-bbb5-aff63010defc · outbound

This paper cites Cascade r-cnn: Delv- ing into high quality object detection.

Learning to Detect and Segment for Open Vocabulary Object Detection Cascade r-cnn: Delv- ing into high quality object detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.802383Z

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 33cb2f8f-3063-40e0-9f42-1e64c7f1b2ed · outbound

This paper cites End-to-End Object Detection with Transformers.

Learning to Detect and Segment for Open Vocabulary Object Detection End-to-End Object Detection with Transformers

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T10:26:08.075288Z

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 dcaf4239-7be8-442b-998d-32601fd7840e · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Learning to Detect and Segment for Open Vocabulary Object Detection Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-24T10:26:08.085742Z

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 ef140cb6-d9e9-44d3-bbf5-66a2a5b2a811 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels.

Learning to Detect and Segment for Open Vocabulary Object Detection Dynamic convolution: Attention over convolution kernels

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.850934Z

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 34f44890-ba2b-4533-b912-cb0bc2d25263 · outbound

This paper cites Deformable convolutional networks.

Learning to Detect and Segment for Open Vocabulary Object Detection Deformable convolutional networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.859445Z

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 d8136274-0dfc-4309-9fca-b1fdbf9a8d75 · outbound

This paper cites Learning to prompt for open-vocabulary ob- ject detection with vision-language model.

Learning to Detect and Segment for Open Vocabulary Object Detection Learning to prompt for open-vocabulary ob- ject detection with vision-language model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.862179Z

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 fbaa615d-2915-493e-8df4-bed2274b6619 · outbound

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

Learning to Detect and Segment for Open Vocabulary Object Detection The pascal visual object classes (voc) challenge

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.843681Z

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 bf433ac8-26ab-4e34-b68c-828f5b76809c · outbound

This paper cites Open vocabulary object detection with pseudo bounding-box labels.

Learning to Detect and Segment for Open Vocabulary Object Detection Open vocabulary object detection with pseudo bounding-box labels

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.853977Z

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 e86bdcc8-6995-4ecc-981e-fce3d2e328c5 · outbound

This paper cites Fast r-cnn.

Learning to Detect and Segment for Open Vocabulary Object Detection Fast r-cnn

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.817568Z

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 ca05504c-2f6e-4dea-b66f-39d5f3e9b40b · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Learning to Detect and Segment for Open Vocabulary Object Detection Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-24T10:26:08.092865Z

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 871bf1b2-0f0f-42ec-9594-e48982ae8496 · outbound

This paper cites LVIS: A dataset for large vocabulary instance segmentation.

Learning to Detect and Segment for Open Vocabulary Object Detection LVIS: A dataset for large vocabulary instance segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.821630Z

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 e50e80d7-ab14-4a91-94fb-8117cdd305bc · outbound

This paper cites Learning to segment every thing.

Learning to Detect and Segment for Open Vocabulary Object Detection Learning to segment every thing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.856511Z

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 92d336d7-0ce5-418f-a352-72baaa3f8548 · outbound

This paper cites Open-vocabulary instance segmentation via ro- bust cross-modal pseudo-labeling.

Learning to Detect and Segment for Open Vocabulary Object Detection Open-vocabulary instance segmentation via ro- bust cross-modal pseudo-labeling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.821353Z

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 54634b0f-591b-4e89-97bd-91f54c42cf0f · outbound

This paper cites Spatial transformer networks.

Learning to Detect and Segment for Open Vocabulary Object Detection Spatial transformer networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.833425Z

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 29de3d94-ef53-450a-bdf4-120f3b89c30e · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

Learning to Detect and Segment for Open Vocabulary Object Detection Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.884181Z

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 03cacb02-225e-4b43-9590-38e8411fcf2e · outbound

This paper cites Dynamic filter networks.

Learning to Detect and Segment for Open Vocabulary Object Detection Dynamic filter networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.805033Z

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 7aa0c7bc-a9c3-4458-99a3-d03c9e82bd4f · outbound

This paper cites Shapemask: Learning to segment novel objects by refining shape priors.

Learning to Detect and Segment for Open Vocabulary Object Detection Shapemask: Learning to segment novel objects by refining shape priors

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.889646Z

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 40a964e5-16cf-4152-9135-20e8efce85bd · outbound

This paper cites Microsoft coco: Common objects in context.

Learning to Detect and Segment for Open Vocabulary Object Detection Microsoft coco: Common objects in context

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.891830Z

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 35468cb8-b49a-45ba-8508-ecba344e5eae · outbound

This paper cites Ssd: Single shot multibox detector.

Learning to Detect and Segment for Open Vocabulary Object Detection Ssd: Single shot multibox detector

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.876780Z

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 4390f54e-8a0f-49fa-b181-681292ccbac0 · outbound

This paper cites Simple Open-Vocabulary Object Detection with Vision Transformers.

Learning to Detect and Segment for Open Vocabulary Object Detection Simple Open-Vocabulary Object Detection with Vision Transformers

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-24T10:26:08.081039Z

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 1f5eba6c-d079-4d21-94e6-bf9543c16c83 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Learning to Detect and Segment for Open Vocabulary Object Detection Learn- ing transferable visual models from natural language super- vision

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.868175Z

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 e575f38e-8fba-4e96-af92-0ffc5294c366 · outbound

This paper cites Improved visual-semantic alignment for zero-shot object detection.

Learning to Detect and Segment for Open Vocabulary Object Detection Improved visual-semantic alignment for zero-shot object detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.874242Z

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 625567e8-4aca-4b9e-b880-895459589fb9 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Learning to Detect and Segment for Open Vocabulary Object Detection You only look once: Unified, real-time object de- tection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.879498Z

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 eb3318ca-651a-47db-9446-5eed3e04eb7e · outbound

This paper cites Yolo9000: better, faster, stronger.

Learning to Detect and Segment for Open Vocabulary Object Detection Yolo9000: better, faster, stronger

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.871525Z

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 e9f88f37-c863-4213-ae0e-04e6fa39fe5e · outbound

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

Learning to Detect and Segment for Open Vocabulary Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.887190Z

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 53eb6fb1-8032-486f-a48c-9da08b68cec2 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

Learning to Detect and Segment for Open Vocabulary Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.894724Z

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 9b95e5b2-a46a-45bc-9539-2cbc3c88355b · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Learning to Detect and Segment for Open Vocabulary Object Detection Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.865028Z

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 a9d239b8-c980-49aa-8a39-a0b4d073b39f · outbound

This paper cites Condconv: Conditionally parameterized convolu- tions for efficient inference.

Learning to Detect and Segment for Open Vocabulary Object Detection Condconv: Conditionally parameterized convolu- tions for efficient inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.853685Z

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 adca4fe5-0c32-47ad-8294-a734990014b1 · outbound

This paper cites Open-Vocabulary DETR with Conditional Matching.

Learning to Detect and Segment for Open Vocabulary Object Detection Open-Vocabulary DETR with Conditional Matching

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-24T10:26:08.097198Z

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 3ff8ba1e-ed20-4eed-9048-87586d237015 · outbound

This paper cites Open-vocabulary object detection using captions.

Learning to Detect and Segment for Open Vocabulary Object Detection Open-vocabulary object detection using captions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.829842Z

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 bc497430-6a99-4d46-a075-7264a44cb7b3 · outbound

This paper cites Regionclip: Region- based language-image pretraining.

Learning to Detect and Segment for Open Vocabulary Object Detection Regionclip: Region- based language-image pretraining

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.836669Z

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 ff3ea736-9201-4243-b8e7-55a4e8c67120 · outbound

This paper cites Learning to prompt for vision-language models.

Learning to Detect and Segment for Open Vocabulary Object Detection Learning to prompt for vision-language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.844473Z

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 663676d5-8151-40e0-80ea-e64b074b43e9 · outbound

This paper cites Don’t even look once: Synthesizing features for zero-shot detection.

Learning to Detect and Segment for Open Vocabulary Object Detection Don’t even look once: Synthesizing features for zero-shot detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.826113Z

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 5ba1451c-913a-4fd4-8997-b08104201c12 · outbound

This paper cites De- formable convnets v2: More deformable, better results.

Learning to Detect and Segment for Open Vocabulary Object Detection De- formable convnets v2: More deformable, better results

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.847956Z

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 54ff1a0a-da72-4667-8f6b-962d713ec7aa · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

Learning to Detect and Segment for Open Vocabulary Object Detection Deformable detr: Deformable transformers for end-to-end object detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T10:26:08.840626Z

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.

Pith citing papers

No inbound Pith citation observations are available.