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Paper Citation Record · LEDGER

A Mask-RCNN Baseline for Probabilistic Object Detection

As of 16 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1908.03621.

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

pith.paper-citation-record.v1
1908.03621 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:12:21.184124Z

measured 12 of 12 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

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e986798-bb07-4aa8-900c-12f2a4302c0e · outbound

This paper cites Probabilistic Object Detection: Definition and Evaluation.

A Mask-RCNN Baseline for Probabilistic Object Detection Probabilistic Object Detection: Definition and Evaluation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:12:21.254467Z

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=arxiv_source observed=2026-08-14T14:12:21.134887Z digest=sha256:bab498cdc67fd6b68444b4493a80a682ae4f1554c6d1e50c9693a68534f2a825

Observation 46aa0c46-672f-4727-9b7e-cb5d944cfea3 · outbound

This paper cites Mask R-CNN.

A Mask-RCNN Baseline for Probabilistic Object Detection Mask R-CNN

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:21.358108Z

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=arxiv_source observed=2026-08-14T14:12:21.139748Z digest=sha256:e1cccd3aad298f0fa09a11fe1d9422653eb97605275d10e40eaafe9595a71a9f

Observation 7c701270-fde5-4389-a059-fe2255e6a35a · outbound

This paper cites Deep residual learning for image recognition.

A Mask-RCNN Baseline for Probabilistic Object Detection Deep residual learning for image recognition

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T14:12:21.144155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:12:21.144155Z digest=sha256:e1a406617cd24e3f1269bde2ac6f3b26cfb8fcc7cd8c79c52864eb4cd1043f7b

Observation bfd8bd0f-5e2d-416f-9b09-a0595eaabe4c · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

A Mask-RCNN Baseline for Probabilistic Object Detection AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:21.337245Z

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=arxiv_source observed=2026-08-14T14:12:21.148562Z digest=sha256:142724dda643f7a09d31dfeec0709c807331134a5a641024bd3cbe1a6d973599

Observation 9c539696-0f8a-4935-83e1-8cc0a75ffa7c · outbound

This paper cites Feature Pyramid Networks for Object Detection.

A Mask-RCNN Baseline for Probabilistic Object Detection Feature Pyramid Networks for Object Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T14:12:21.152994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:12:21.152994Z digest=sha256:a2504dd024a5d756711f90899ab2791e673ff8c5b82b29b0b5e28eaad7322639

Observation 424103de-6701-40c2-8de8-f158a077c367 · outbound

This paper cites Microsoft coco: Common objects in context.

A Mask-RCNN Baseline for Probabilistic Object Detection Microsoft coco: Common objects in context

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:21.324838Z

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=arxiv_source observed=2026-08-14T14:12:21.157850Z digest=sha256:547541244f47606d13182a43915900b60ee9b88ca61769bb4c1e9b10d10ed094

Observation e22421fd-c51d-4989-93c7-e908c17f5e26 · outbound

This paper cites maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

A Mask-RCNN Baseline for Probabilistic Object Detection maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:21.311146Z

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=arxiv_source observed=2026-08-14T14:12:21.162348Z digest=sha256:3c9bc1949f03bb946f31efb8d57c003c4c5450a7ac8db5a2311c7b6e1ebacf64

Observation 242fdf80-e375-43a0-aef3-c0dbc9ee159b · outbound

This paper cites Automatic differentiation in pytorch.

A Mask-RCNN Baseline for Probabilistic Object Detection Automatic differentiation in pytorch

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T14:12:21.166373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:12:21.166373Z digest=sha256:071af9f085ff485e9fc38915c4e44325a48d9190d29574478c7272aba841536a

Observation 73574d4f-e7fc-45ed-8aae-8175493cbc8b · outbound

This paper cites Imagenet large scale visual recognition challenge.

A Mask-RCNN Baseline for Probabilistic Object Detection Imagenet large scale visual recognition challenge

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:21.290447Z

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=arxiv_source observed=2026-08-14T14:12:21.171152Z digest=sha256:70af088d16cd6d0c75910f13c909735d5d56ee0dbf0258c4e8492b3259b8e1f2

Observation 78eb80d6-74bb-4d5c-ab6d-a191992acbb0 · outbound

This paper cites Semantic scene completion from a single depth image.

A Mask-RCNN Baseline for Probabilistic Object Detection Semantic scene completion from a single depth image

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:21.276051Z

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=arxiv_source observed=2026-08-14T14:12:21.175298Z digest=sha256:7d38ff881bc413cda0be1d9279b17257fe7faf5473b2ad8ff395f26140bf82b1

Observation a027a43b-99bb-49f5-9e88-15839ff7ebcf · outbound

This paper cites Building Generalizable Agents with a Realistic and Rich 3D Environment.

A Mask-RCNN Baseline for Probabilistic Object Detection Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T14:12:21.179583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:12:21.179583Z digest=sha256:5271b45cb178b7296e58d00e5087fb5d4fe8aa63185f6b025cf206efe074d06b

Observation b3cabed3-a229-4d7c-b08f-dc2608b730b0 · outbound

This paper cites write newline.

A Mask-RCNN Baseline for Probabilistic Object Detection write newline

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T14:12:21.184124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:12:21.184124Z digest=sha256:44c2389e0645101790b7ec57af74acca1d4e5504a6659fd0b27d7f3ca01e868a

Pith citing papers

No inbound Pith citation observations are available.