Paper Citation Record · LEDGER

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2411.13544.

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

pith.paper-citation-record.v1
2411.13544 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:22:50.526958Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:39:22.151704Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T20:39:23.345482Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy20
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aee309b8-f68f-4800-8389-17bdc4654b88 · outbound

This paper cites Current status of deep mining and disaster prevention in china,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Current status of deep mining and disaster prevention in china,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.595704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f94ee713-f49e-4608-9b10-276bb8f98f47 · outbound

This paper cites Residual coal exploitation and its impact on sustainable development of the coal industry in china,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Residual coal exploitation and its impact on sustainable development of the coal industry in china,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.563805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3d38e39-9a31-45a3-a879-84dcb33a7fad · outbound

This paper cites Automation in the mining industry: Review of technology, systems, human factors, and political risk,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Automation in the mining industry: Review of technology, systems, human factors, and political risk,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.521062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea3ed392-20d7-4d98-9125-8f81e618b630 · outbound

This paper cites Tweedr: Mining twitter to inform disaster response.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Tweedr: Mining twitter to inform disaster response

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.488988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8c5c57ce-1c2e-4211-a56e-42bd54a67f4f · outbound

This paper cites Preparedness for peer first response to mining emergencies resulting in injuries: a cross-sectional study,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Preparedness for peer first response to mining emergencies resulting in injuries: a cross-sectional study,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.445871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de05ce49-ccae-4669-81ac-e7ff71c528b0 · outbound

This paper cites Towards an emergency preparedness for self- rescue from underground coal mines,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Towards an emergency preparedness for self- rescue from underground coal mines,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.402828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a00050aa-5050-4c60-a22d-79c073207a49 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Fully convolutional networks for semantic segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.371463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed6e0cf5-1d14-4db3-8bca-2880f92d0f91 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines U-net: Convolutional networks for biomedical image segmentation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.238362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4e79a3-a1fb-4672-a9dd-c4a2e48417ae · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.247209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ca811b-10ac-42db-8ed2-befe3dedec0e · outbound

This paper cites Instance segmentation in the dark,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Instance segmentation in the dark,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.260918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef0e02cb-7bbb-4ff1-908d-8ed4fb11bb7a · outbound

This paper cites Advancing image understanding in poor visibility environments: A collective benchmark study,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Advancing image understanding in poor visibility environments: A collective benchmark study,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.229712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fc7c57e-bf3d-47bf-9eb7-f1640f0d7f43 · outbound

This paper cites Kindling the darkness: A practical low-light image enhancer,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Kindling the darkness: A practical low-light image enhancer,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.199172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76901b96-4d15-400b-8099-41303fd8caa9 · outbound

This paper cites Pixelwise instance segmentation with a dynamically instantiated network,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Pixelwise instance segmentation with a dynamically instantiated network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.169662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd2f2d44-0a05-4e8c-93be-f1ece89d55af · outbound

This paper cites Mask r-cnn,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Mask r-cnn,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.313077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4d4898f-f3ed-481f-b321-ea5276b78a04 · outbound

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

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.080281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66b62fa3-b51d-47b6-ab86-03fa339cfb2f · outbound

This paper cites Hybrid task cascade for instance segmentation,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Hybrid task cascade for instance segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.053789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 651994ad-3556-497a-931c-fa5cbaca13e5 · outbound

This paper cites Yolact: Real- time instance segmentation,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Yolact: Real- time instance segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:51.010649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fe91e64-9737-4f7b-83ca-a028a38e6204 · outbound

This paper cites Insta- yolo: Real-time instance segmentation,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Insta- yolo: Real-time instance segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:50.977799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10f5726e-9a94-42ae-99db-312cf2ba10eb · outbound

This paper cites Microsoft coco: Common objects in context,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Microsoft coco: Common objects in context,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.371309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a4601c-2dc4-440e-b2dc-ee0539e6f11b · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines The cityscapes dataset for semantic urban scene understanding,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.385286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d90d6419-ab09-473d-a019-cac61103796e · outbound

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

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines End-to-End Object Detection with Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.401581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b826efc6-7fee-4042-93ef-9fa11681976f · outbound

This paper cites Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:22:50.629589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 859dc74b-7c24-4d5b-acc3-8d6e94aeda5e · outbound

This paper cites Segment anything,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Segment anything,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:50.890915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8692e8ac-a57e-4ad2-9107-658c2013f730 · outbound

This paper cites VGG image annotator (VIA),.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines VGG image annotator (VIA),

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:50.851496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc89dbcb-4b7b-4f57-8495-22c742ebd24e · outbound

This paper cites McCann, Retinex Theory.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines McCann, Retinex Theory

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:50.823679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90d57233-4959-42e8-8ffa-287bee0e9732 · outbound

This paper cites Orb: An efficient alternative to sift or surf,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Orb: An efficient alternative to sift or surf,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:50.485337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b03448f-1b0f-4b98-8712-1a48d478a3c3 · outbound

This paper cites Dslmf+: An open dataset for intelligent recognition of abnormal condition in underground longwall mining face,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Dslmf+: An open dataset for intelligent recognition of abnormal condition in underground longwall mining face,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:50.761455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2ba86f2-6fd3-417d-a491-4a878bf8eae5 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines Masked-attention mask transformer for universal image segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:22:50.731610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 90c2cafc-dab8-4d7b-8612-c0baec1aeb63 · inbound

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations cites this paper.

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:39:23.407208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.