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Paper Citation Record · LEDGER

Inferring Missing Trajectory Data with Temporal Convolutional Networks

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.25147.

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

pith.paper-citation-record.v1
2607.25147 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T00:09:01.761662Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

21 of 21 outbound references displayed

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  • verified fuzzy0
  • unresolved19
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd1ee9d9-5f91-42c6-a733-5c4a6363aba4 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 1

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Observation 2df1b82c-14ff-40c5-98e8-345c7f467235 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

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Observation 6a034e3e-6719-45ec-8759-16a4b595dedc · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Inferring Missing Trajectory Data with Temporal Convolutional Networks An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 3

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Observation 87cb9dcc-eb52-4f2f-99bb-bd43933f2e27 · outbound

This paper cites Sensors21(9), 3215 (2021).

Inferring Missing Trajectory Data with Temporal Convolutional Networks Sensors21(9), 3215 (2021)

Reference 4

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Observation 193e4748-1d3f-4933-9982-a141b3f2362f · outbound

This paper cites In: Proceedings of the 38th International Confer- ence on Neural Information Processing Systems (NeurIPS).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the 38th International Confer- ence on Neural Information Processing Systems (NeurIPS)

Reference 5

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Observation bb4d2015-4e70-44fb-98ec-ac34bfab60ae · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 6

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Observation 80e8ba9d-8d6d-4135-8d61-11642468479c · outbound

This paper cites Nature229, 381–383 (1971).

Inferring Missing Trajectory Data with Temporal Convolutional Networks Nature229, 381–383 (1971)

Reference 7

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Observation ae70707b-d995-4c0d-90a2-72d2d5272d3c · outbound

This paper cites Neural Computation 9(8), 1735–1780 (1997).

Inferring Missing Trajectory Data with Temporal Convolutional Networks Neural Computation 9(8), 1735–1780 (1997)

Reference 8

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Observation ef801457-8aee-4760-a336-7e529325c339 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Inferring Missing Trajectory Data with Temporal Convolutional Networks Adam: A Method for Stochastic Optimization

Reference 9

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Observation 5c296d7f-b7d2-4a15-ac2d-8ce61067c43a · outbound

This paper cites Temporal Convolutional Networks: A Unified Approach to Action Segmentation.

Inferring Missing Trajectory Data with Temporal Convolutional Networks Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Reference 10

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This paper cites MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking.

Inferring Missing Trajectory Data with Temporal Convolutional Networks MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 11

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Observation 3aaec090-2778-4a68-bd4c-8c014dcb822e · outbound

This paper cites In: Computer graphics forum.

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Computer graphics forum

Reference 12

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR)

Reference 13

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Observation f3bd7035-a8f8-4369-9718-691ac5d07407 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision (ICCV).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the IEEE International Conference on Computer Vision (ICCV)

Reference 14

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Observation 3bb09b39-da5b-421a-8882-fc87cb92f154 · outbound

This paper cites International Journal of Robotics Research39(8), 895–935 (2020).

Inferring Missing Trajectory Data with Temporal Convolutional Networks International Journal of Robotics Research39(8), 895–935 (2020)

Reference 15

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 16

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This paper cites In: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 17

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This paper cites Journal of Ambient Intelligence and Humanized Computing17(2), 491– 523 (Mar 2026).

Inferring Missing Trajectory Data with Temporal Convolutional Networks Journal of Ambient Intelligence and Humanized Computing17(2), 491– 523 (Mar 2026)

Reference 18

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Observation f26136e1-9fce-45cb-90c7-dafe2c0934af · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Advances in Neural Information Processing Systems

Reference 19

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Observation c5482cd4-6fb5-42b0-99ef-94b1e95d1935 · outbound

This paper cites In: Proceedings of the 1st ACM SIGSPATIAL in- ternational workshop on AI-driven spatio-temporal data analysis for wildlife con- servation.

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: Proceedings of the 1st ACM SIGSPATIAL in- ternational workshop on AI-driven spatio-temporal data analysis for wildlife con- servation

Reference 20

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This paper cites In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Inferring Missing Trajectory Data with Temporal Convolutional Networks In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 21

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Pith citing papers

No inbound Pith citation observations are available.