Paper Citation Record · LEDGER

Detecting Informative Channels: ActionFormer

As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.20739.

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

pith.paper-citation-record.v1
2505.20739 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:42.881629Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

46 of 46 outbound references displayed

verified exact2
verified fuzzy25
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9b52ec4-6c29-4d1f-94bd-216843e027ec · outbound

This paper cites an unresolved cited work.

Detecting Informative Channels: ActionFormer Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:49.193613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4914d6e5-4a9f-428e-9b92-7e0d00990af6 · outbound

This paper cites Squeeze-and-excitation on spatial and temporal deep feature space for action recognition.

Detecting Informative Channels: ActionFormer Squeeze-and-excitation on spatial and temporal deep feature space for action recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:49.005655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 98288a5b-497a-4f3f-8d76-43ddf45e63a6 · outbound

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

Detecting Informative Channels: ActionFormer An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:37.841923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e356d8ff-631a-4f36-a307-1a15fe44f84b · outbound

This paper cites Lawrence Zitnick, Kavita Bala, and Ross Girshick.

Detecting Informative Channels: ActionFormer Lawrence Zitnick, Kavita Bala, and Ross Girshick

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:48.830121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d582133f-4633-46e1-a5a9-38e63f1e5a49 · outbound

This paper cites Improving deep learning for har with shallow lstms.

Detecting Informative Channels: ActionFormer Improving deep learning for har with shallow lstms

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:48.584410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12245741-cbb9-43a5-833b-5a7a73a09053 · outbound

This paper cites WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition.

Detecting Informative Channels: ActionFormer WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:51:43.650628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cda8cbe6-e82d-46b5-ba98-d16351c7fc38 · outbound

This paper cites Gcnet: Non-local networks meet squeeze-excitation networks and beyond.

Detecting Informative Channels: ActionFormer Gcnet: Non-local networks meet squeeze-excitation networks and beyond

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:48.448389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1475495-5541-439c-9f9d-1fb62a46482f · outbound

This paper cites Fused behavior recognition model based on attention mechanism.

Detecting Informative Channels: ActionFormer Fused behavior recognition model based on attention mechanism

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:48.263127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b217c80-c673-4b33-9621-f654a623ef65 · outbound

This paper cites Esenet: A human behavior recognition model based on extended squeeze-and-excitation network.

Detecting Informative Channels: ActionFormer Esenet: A human behavior recognition model based on extended squeeze-and-excitation network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:48.003810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6a78900-decc-4dea-a2a0-da77165f7b57 · outbound

This paper cites Probabilistic forecasting with temporal convolutional neural net- work.Neurocomputing, 399:491–501, 2020.

Detecting Informative Channels: ActionFormer Probabilistic forecasting with temporal convolutional neural net- work.Neurocomputing, 399:491–501, 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:47.843723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19dcebf7-1d7d-4db0-b157-7a81cff5500b · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Detecting Informative Channels: ActionFormer Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:39.380787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd09f83-3673-4a28-a518-d67de4c4c00a · outbound

This paper cites Leveraging large language models for activity recognition in smart environments.

Detecting Informative Channels: ActionFormer Leveraging large language models for activity recognition in smart environments

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:47.631167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d709d36-73c2-43dd-9dda-822789f6e872 · outbound

This paper cites Finding structure in time.Cognitive science, 14(2):179–211, 1990.

Detecting Informative Channels: ActionFormer Finding structure in time.Cognitive science, 14(2):179–211, 1990

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:39.666768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 861b4268-c82d-49cb-868a-610194c9fd56 · outbound

This paper cites Using k-nearest neighbours feature selection for activity recogni- tion.

Detecting Informative Channels: ActionFormer Using k-nearest neighbours feature selection for activity recogni- tion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:47.445895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0a1a847-4077-4421-906e-285bed68110b · outbound

This paper cites Deep sparse rectifier neural networks.

Detecting Informative Channels: ActionFormer Deep sparse rectifier neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:47.257604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6cc7d7c-9a1c-4684-aba0-662ad50653ce · outbound

This paper cites Deep residual learning for image recognition.

Detecting Informative Channels: ActionFormer Deep residual learning for image recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:39.892385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed43a992-28c9-4efc-aba3-187e82b9e483 · outbound

This paper cites Long short-term memory.Neural Computation MIT-Press, 1997.

Detecting Informative Channels: ActionFormer Long short-term memory.Neural Computation MIT-Press, 1997

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:40.107566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6288b6b0-1e65-4307-80ea-bff8549b60e0 · outbound

This paper cites an unresolved cited work.

Detecting Informative Channels: ActionFormer Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:47.056929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5eb05e41-d8e6-4f9d-b9b2-32d47e92a755 · outbound

This paper cites Ta-da!- improving activity recognition using temporal adapters and data augmentation.

Detecting Informative Channels: ActionFormer Ta-da!- improving activity recognition using temporal adapters and data augmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:46.918101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77e8b582-3b4e-47ce-8cc6-6fa0430c3c31 · outbound

This paper cites Squeeze-and-excitation networks.

Detecting Informative Channels: ActionFormer Squeeze-and-excitation networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:40.355436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a34fc8-9193-4ffe-b32b-36d608adff58 · outbound

This paper cites an unresolved cited work.

Detecting Informative Channels: ActionFormer Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:46.734864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71c0ef80-a17d-4c2a-86eb-fb49cee027aa · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Detecting Informative Channels: ActionFormer Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:40.552677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d102497-a234-4f1e-a87f-1aaabc7ee8e5 · outbound

This paper cites Spatial transformer networks, 2016.

Detecting Informative Channels: ActionFormer Spatial transformer networks, 2016

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:46.584553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 193558b0-3ce9-4716-970a-065d1c731e82 · outbound

This paper cites En- hancing aerial human action recognition through gan-boosted resnext architecture with squeeze-and-excitation network.

Detecting Informative Channels: ActionFormer En- hancing aerial human action recognition through gan-boosted resnext architecture with squeeze-and-excitation network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:46.369257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e11e5a75-e4b6-4fd9-8904-584d988ac358 · outbound

This paper cites Reformer: The Efficient Transformer.

Detecting Informative Channels: ActionFormer Reformer: The Efficient Transformer

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:40.848443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8bba13-b893-4b1e-af39-cc0679a405a8 · outbound

This paper cites Hmdb: a large video database for human motion recognition.

Detecting Informative Channels: ActionFormer Hmdb: a large video database for human motion recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:46.171135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93eda4e9-baa8-4765-8d64-d70939f5efe7 · outbound

This paper cites Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting.Advances in neural information processing systems, 32, 2019.

Detecting Informative Channels: ActionFormer Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting.Advances in neural information processing systems, 32, 2019

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:41.056590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efcd9b7b-da8e-4b45-889e-f9b0c1bc354a · outbound

This paper cites Temporal fusion transformers for interpretable multi-horizon time series forecasting.International Journal of Forecasting, 37(4):1748–1764, 2021.

Detecting Informative Channels: ActionFormer Temporal fusion transformers for interpretable multi-horizon time series forecasting.International Journal of Forecasting, 37(4):1748–1764, 2021

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:45.955334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 38d8d521-affd-4ebe-b705-06086beaa605 · outbound

This paper cites End-to-end temporal action detection with 1b parame- ters across 1000 frames.

Detecting Informative Channels: ActionFormer End-to-end temporal action detection with 1b parame- ters across 1000 frames

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:45.807827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17081f52-384b-41e5-a77a-23e980cd18bb · outbound

This paper cites Decoupled Weight Decay Regularization.

Detecting Informative Channels: ActionFormer Decoupled Weight Decay Regularization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:41.349401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633b0292-5f3f-4d8d-84e0-12877efce950 · outbound

This paper cites Stacked hourglass networks for human pose estimation, 2016.

Detecting Informative Channels: ActionFormer Stacked hourglass networks for human pose estimation, 2016

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:45.667052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e13b2b5-b672-407f-9b88-2deec43ccb92 · outbound

This paper cites Recognition of endotracheal suctioning activities: A feature extraction and ensemble learning approach based on pose esti- mation data.

Detecting Informative Channels: ActionFormer Recognition of endotracheal suctioning activities: A feature extraction and ensemble learning approach based on pose esti- mation data

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:45.538567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3b242db-56f8-436c-bacc-2f603616e351 · outbound

This paper cites Searching for Activation Functions.

Detecting Informative Channels: ActionFormer Searching for Activation Functions

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:41.650579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ae0fd3-5024-4167-90b5-a39742fbf217 · outbound

This paper cites Tridet: Temporal action detection with relative boundary modeling.

Detecting Informative Channels: ActionFormer Tridet: Temporal action detection with relative boundary modeling

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:45.381895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d54e853-f616-4fd3-bd1c-f6e27cdbade9 · outbound

This paper cites Expansion- squeeze-excitation fusion network for elderly activity recognition.

Detecting Informative Channels: ActionFormer Expansion- squeeze-excitation fusion network for elderly activity recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:45.193068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d80a9a2e-d550-4d91-9e61-b91896b3f64c · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Detecting Informative Channels: ActionFormer UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:41.977379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07013d79-6dc4-4c9b-a840-92b9b7af5f42 · outbound

This paper cites Going deeper with convolutions.

Detecting Informative Channels: ActionFormer Going deeper with convolutions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:42.073652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8429b800-79ad-432e-bec0-f7f3c2d1407a · outbound

This paper cites an unresolved cited work.

Detecting Informative Channels: ActionFormer Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:42.134809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976e46b6-ae17-4def-af59-9111a2c06811 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Detecting Informative Channels: ActionFormer WaveNet: A Generative Model for Raw Audio

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:42.248579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ff384f-6184-4e63-a6f8-c82cb0d1831a · outbound

This paper cites Attention is all you need.Advances in Neural Infor- mation Processing Systems, 2017.

Detecting Informative Channels: ActionFormer Attention is all you need.Advances in Neural Infor- mation Processing Systems, 2017

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:44.984531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e4933ac-7f47-4dae-9e95-ee7ff3d55236 · outbound

This paper cites Action-net: Mul- tipath excitation for action recognition.

Detecting Informative Channels: ActionFormer Action-net: Mul- tipath excitation for action recognition

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:44.806716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3739f6ee-d091-45a5-9b99-dea4a0d3d8c6 · outbound

This paper cites an unresolved cited work.

Detecting Informative Channels: ActionFormer Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:44.618611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1b72f8b-67d7-4305-86a7-34d5a9342b71 · outbound

This paper cites Actionformer: Local- izing moments of actions with transformers.

Detecting Informative Channels: ActionFormer Actionformer: Local- izing moments of actions with transformers

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:44.462387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ee36b17-c583-44b7-8f22-4181ea002532 · outbound

This paper cites Temporal squeeze-and- excitation networks for skeleton-based action recognition.

Detecting Informative Channels: ActionFormer Temporal squeeze-and- excitation networks for skeleton-based action recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:44.222471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb454a75-ad3e-4cf1-a46c-a45d2b0a5161 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

Detecting Informative Channels: ActionFormer Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:43.970212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a430fe3-b8b2-4c91-ad0e-02059000c885 · outbound

This paper cites Sensor data augmentation from skeleton pose sequences for improving human activity recogni- tion.

Detecting Informative Channels: ActionFormer Sensor data augmentation from skeleton pose sequences for improving human activity recogni- tion

Reference 47

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:51:43.267899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.