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Paper Citation Record · LEDGER

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.05217.

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

pith.paper-citation-record.v1
1908.05217 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:24:25.904052Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy29
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ef93d1f-fd00-4ca4-920d-ad581394e9da · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

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unresolved
no resolver link, observed 2026-08-14T13:24:25.701417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:24:25.701417Z digest=sha256:815d73f29db874a05f889bfe61b182eb71992f3b357b36fc023ef9e0e7302652

Observation 0c3f5e60-7b97-420e-8a1e-71f3de33d2a4 · outbound

This paper cites Weakly supervised deep detection networks.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Weakly supervised deep detection networks

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation afb6b9bd-48e1-4304-ac9a-a1a91d0e6930 · outbound

This paper cites Soft-nms - improving object detection with one line of code.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Soft-nms - improving object detection with one line of code

Reference 3

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raw_fallback, observed 2026-08-14T13:24:26.624729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 742b4103-c751-4096-8ae7-e526b037be5b · outbound

This paper cites Semi-supervised deep learning with memory.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Semi-supervised deep learning with memory

Reference 4

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raw_fallback, observed 2026-08-14T13:24:26.608919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.717423Z digest=sha256:bb3f42713dc9e4d4b05ab31dc67423c8ef06c11b485dc909855651fcfc3ca1f9

Observation 4c4e0e32-d8ef-4225-9ca5-aff64c31734c · outbound

This paper cites R-FCN: object detec- tion via region-based fully convolutional networks.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes R-FCN: object detec- tion via region-based fully convolutional networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ff87a86d-b114-44f2-8a24-9560dfe841d4 · outbound

This paper cites Deformable convolutional networks.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Deformable convolutional networks

Reference 6

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raw_fallback, observed 2026-08-14T13:24:26.576440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 52adb781-4996-4f25-8ac7-905e54adec1d · outbound

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

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Imagenet: A large-scale hierarchical image database

Reference 7

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raw_fallback, observed 2026-08-14T13:24:26.558586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.732434Z digest=sha256:2251e90b7e717f669adc6b0b0f45d6b483be7f3120e4b12126db0ef52925007e

Observation a310fbef-7690-4e9f-b834-2e89855e2c07 · outbound

This paper cites Van Gool, Christopher K.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Van Gool, Christopher K

Reference 8

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raw_fallback, observed 2026-08-14T13:24:26.541680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.737249Z digest=sha256:3ebcb672832057bee37fe376b215e02f225019078808b21d1ffb710154557766

Observation 1de4455d-54eb-4911-b31d-4f17c3846fde · outbound

This paper cites NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection

Reference 9

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no resolver link, observed 2026-08-14T13:24:25.741733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:24:25.741733Z digest=sha256:0ff8811883e0692f54c6499151f490cde782aa934c00b34df41a5060e0c4bb8f

Observation 78ca9655-1e80-45ba-8362-faffc52dde4b · outbound

This paper cites Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning

Reference 10

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raw_fallback, observed 2026-08-14T13:24:26.525240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.747325Z digest=sha256:0daf315131a2ca03b4ddc7fa84d12a943efb41fb1bf25e0b96fbd308cf0bb9c5

Observation 8bd61f7b-b283-46c5-918d-d6214c182d08 · outbound

This paper cites Girshick.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Girshick

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.752372Z digest=sha256:1f3980d09b71b1dc44863702a686f3b305fd5641755b4cb1e20c25ac1436d4e9

Observation 8284bb4a-b7b4-4250-912d-2930372e7c96 · outbound

This paper cites Girshick.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Girshick

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.757377Z digest=sha256:cc8b08327e602df2f2272ff72c2dbdd3a8a484b5a796c0e832f193d7a6d8e6b1

Observation 781d7c83-0f2c-4695-ab30-0cfb43ab4084 · outbound

This paper cites Learning to Remember Rare Events.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Learning to Remember Rare Events

Reference 13

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no resolver link, observed 2026-08-14T13:24:25.762282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:24:25.762282Z digest=sha256:c372e64cff82b5b648008133403ad1a1b048b04e0cf0c1f27231b55af598ff63

Observation 8fc2c946-b5e1-48cf-9cf4-30418241dde5 · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class image classification.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Openimages: A public dataset for large-scale multi-label and multi-class image classification

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.477628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.767419Z digest=sha256:f0969b5d9be3c172bb8307561abf463ae338b69835ac45e8f393573f7ecfb216

Observation 44c1df6b-55da-4550-a2aa-7c7f19986ae3 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 15

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raw_fallback, observed 2026-08-14T13:24:26.461072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.772251Z digest=sha256:a87194fffa4793275e527c30cce673fcc6a8128bc0a5e88cbd6b6d568acecd64

Observation 5a81a614-9598-42d2-aa2b-3cae1f4a57e1 · outbound

This paper cites Girshick, Kaiming He, Bharath Hariharan, and Serge J.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Girshick, Kaiming He, Bharath Hariharan, and Serge J

Reference 16

Resolution
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raw_fallback, observed 2026-08-14T13:24:26.444598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.776756Z digest=sha256:69f32c1d3781ea1396cf81671a2b69eb3c8971d885ccd384d591c3405a8b56c1

Observation 468954de-37c6-4ce5-9951-48135dcd75d3 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll´ar, and C.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll´ar, and C

Reference 17

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raw_fallback, observed 2026-08-14T13:24:26.427376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 96bffd29-9856-42ec-80e1-c8bd37acffe0 · outbound

This paper cites Reed, Cheng-Yang Fu, and Alexander C.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Reed, Cheng-Yang Fu, and Alexander C

Reference 18

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raw_fallback, observed 2026-08-14T13:24:26.410488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 65f23c46-f548-405c-858c-418487999056 · outbound

This paper cites Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.791015Z digest=sha256:29f5a0359ddd52e80e68de0ab5df1e3c335d03cd4884f703aa93dbb7c8f7331a

Observation 5f185b96-51fe-43f4-9376-d7756fb5e534 · outbound

This paper cites an unresolved cited work.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.796136Z digest=sha256:3e005d6c68d70cea3c39cbb5e29dd9e7cce78505ad640d00c20de5bd01931331

Observation ce693bba-57d1-4345-b561-eacd380c9b33 · outbound

This paper cites Papadopoulos, Jasper R.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Papadopoulos, Jasper R

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.801117Z digest=sha256:cad3148ec548710fe2c6f83e107700eb8f624753d9d4d92f6cd75400a3bf907c

Observation 03fb6dc2-c333-457f-aafb-70adc5a16a1c · outbound

This paper cites Papadopoulos, Jasper R.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Papadopoulos, Jasper R

Reference 22

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raw_fallback, observed 2026-08-14T13:24:26.336155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ffed45c1-de6f-4a41-89f7-59b46e0bf299 · outbound

This paper cites Girshick, and Ali Farhadi.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Girshick, and Ali Farhadi

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.320489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2cfd98a8-02e1-4da9-b9f1-8beedb8526e2 · outbound

This paper cites YOLO9000: better, faster, stronger.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes YOLO9000: better, faster, stronger

Reference 24

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raw_fallback, observed 2026-08-14T13:24:26.304526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b73f8e45-a1d4-4eb0-8fcf-d2b2b660b0e0 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes YOLOv3: An Incremental Improvement

Reference 25

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unresolved
no resolver link, observed 2026-08-14T13:24:25.822034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:24:25.822034Z digest=sha256:61de92d00eef16966d3425a303695be06ee459d1b1a012bd106c9e896e600f2e

Observation d52780ca-afda-497c-b1ee-4d3c69a1c5e2 · outbound

This paper cites Girshick, and Jian Sun.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Girshick, and Jian Sun

Reference 26

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raw_fallback, observed 2026-08-14T13:24:26.287871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.827873Z digest=sha256:947e7cab4560c5c76ec5e3364673f77cf11f0f7b95234796f7b570ce3c9893c8

Observation dbf2d315-e654-424f-b9ce-4a649911d6b4 · outbound

This paper cites an unresolved cited work.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-14T13:24:26.271875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fab4f2d0-b998-4d00-bad5-d2e29aae32df · outbound

This paper cites SNIPER: Efficient multi-scale training.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes SNIPER: Efficient multi-scale training

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.256063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.837121Z digest=sha256:412f7151c4483814d2ab614e99205c23d65cd3182eafceb768e6a969a28eeaf5

Observation d7e913c1-5ae7-4dd4-b11e-039e3cb74c1a · outbound

This paper cites DOCK: detecting objects by transferring common- sense knowledge.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes DOCK: detecting objects by transferring common- sense knowledge

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.239380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.842536Z digest=sha256:6fe4a3bd98dcf6ab3df7df3b9159fb7523c3b493a40255e74b7f20915198d269

Observation c6434be5-df69-4f94-bdaa-75a6d1468ede · outbound

This paper cites Multiple Instance Detection Network with Online Instance Classifier Refinement.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Multiple Instance Detection Network with Online Instance Classifier Refinement

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:24:25.987686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.848012Z digest=sha256:397efee69be5f984ddac53667f2294828066d4a0b74f0f85047ee6d07003261c

Observation 5005f531-e585-4284-ad99-6389b726e74d · outbound

This paper cites an unresolved cited work.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:24:26.220047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.853462Z digest=sha256:cd6912351f848388c68fc75837ae4d381b91f1c8c4088a43404bc9b23eb10a51

Observation 7e94e2fa-1017-40ef-84ab-0e1c5d7852ae · outbound

This paper cites Gaizauskas, and Liming Chen.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Gaizauskas, and Liming Chen

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.202761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.860661Z digest=sha256:5856bd805b4ad589079b6c43fb4cd4b5060d1625e7ba7db6630123c136f614ed

Observation 2a101d76-bf5f-44d5-8c9b-799a3e3e46fe · outbound

This paper cites Exploiting web images for weakly supervised object detection.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Exploiting web images for weakly supervised object detection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.185977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.867788Z digest=sha256:532c023d5e72b8fb3dc193247705efb9cd6c090c948604270b153f316bf99683

Observation 966b7008-886d-4f78-851d-f069342d6f5f · outbound

This paper cites Zero-annotation object de- tection with web knowledge transfer.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Zero-annotation object de- tection with web knowledge transfer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.168385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:24:25.873765Z digest=sha256:8fc5430fcfa9372c170cc7c45dca1f83ac96c3e9fcae967c6152df491d9b1bdc

Observation f32f3d33-3448-41d3-8a8a-b71670d361ef · outbound

This paper cites an unresolved cited work.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:24:26.149444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 27ae6885-5bac-435d-baa4-76ff66b57a18 · outbound

This paper cites an unresolved cited work.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:24:26.132562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 945abdc6-5bb9-4f40-842a-fd60afc85c61 · outbound

This paper cites Soft Sampling for Robust Object Detection.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Soft Sampling for Robust Object Detection

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cf42b3e2-ae41-4617-b654-61ea7ff57d4a · outbound

This paper cites MIML-FCN+: multi-instance multi-label learning via fully convolu- tional networks with privileged information.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes MIML-FCN+: multi-instance multi-label learning via fully convolu- tional networks with privileged information

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8a659fa1-9004-4a55-9bbd-8a7460c00512 · outbound

This paper cites W2f: A weakly-supervised to fully-supervised framework for object detection.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes W2f: A weakly-supervised to fully-supervised framework for object detection

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9ae5ab04-40d8-46c8-ba5f-aa7765c1f186 · outbound

This paper cites Lawrence Zitnick and Piotr Doll ´ar.

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes Lawrence Zitnick and Piotr Doll ´ar

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:24:26.080172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.