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Paper Citation Record · LEDGER

Three Branches: Detecting Actions With Richer Features

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:1908.04519.

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

pith.paper-citation-record.v1
1908.04519 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:43:07.905464Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

22 of 22 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3dd9061-69ac-4eac-966d-86fa92ba462a · outbound

This paper cites HAKE: Human Activity Knowledge Engine.

Three Branches: Detecting Actions With Richer Features HAKE: Human Activity Knowledge Engine

Reference 1

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no resolver link, observed 2026-08-14T13:43:07.666441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.666441Z digest=sha256:39c73f2b23fe4e6dc14b7c2c7da8fbd9d34984a6e69bf930eb0a5fd78516f326

Observation d2e48afa-0710-4f2e-a769-e14fcc791f10 · outbound

This paper cites Learning Spatiotemporal Features with 3D Convolutional Networks.

Three Branches: Detecting Actions With Richer Features Learning Spatiotemporal Features with 3D Convolutional Networks

Reference 2

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no resolver link, observed 2026-08-14T13:43:07.684018Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.684018Z digest=sha256:74485483b03367d2efc0e8d52b0d4914df3eb1f1c0d6a997c01103c3f879c986

Observation be86eac4-0c5b-40b8-ab17-e26cd425cc95 · outbound

This paper cites Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks.

Three Branches: Detecting Actions With Richer Features Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Reference 3

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verified exact
local_arxiv, observed 2026-08-14T13:43:08.872055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.697859Z digest=sha256:074bc8a6d83b4d6f0952866355b422cffa4026e4d67b9ff17826f0e1916f72ec

Observation e2bbf8a4-30d0-4adf-a10f-b1512fcbdfe0 · outbound

This paper cites Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.

Three Branches: Detecting Actions With Richer Features Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.707481Z digest=sha256:70e4a2314ba6b51c95da1182756b752c5d7bd9e3c04c35043b0a7918104f0ecc

Observation 72fed04d-7d93-4aed-a466-5c93098ed70d · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

Three Branches: Detecting Actions With Richer Features Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 5

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no resolver link, observed 2026-08-14T13:43:07.720229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.720229Z digest=sha256:3b6be0ba68c82b068f71c075a6574437d95e6c392de29ca98e5ff33ae31e20b0

Observation 8552cb0d-75e2-4781-94b4-4557a986b755 · outbound

This paper cites SlowFast Networks for Video Recognition.

Three Branches: Detecting Actions With Richer Features SlowFast Networks for Video Recognition

Reference 6

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no resolver link, observed 2026-08-14T13:43:07.729695Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.729695Z digest=sha256:a8dc08afbe6eb24aed685bcd24cd372d01c8863027b5576afc673c909a7f049e

Observation 867c5d3e-9fc8-4652-92cc-7bbdb3776942 · outbound

This paper cites Attention Is All You Need.

Three Branches: Detecting Actions With Richer Features Attention Is All You Need

Reference 7

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no resolver link, observed 2026-08-14T13:43:07.745937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.745937Z digest=sha256:b8a83eb222934b24d65901aad7e962b721477ba4085b3bfb50940dbf737565fd

Observation f6cbf1ec-6f80-43fc-adce-aa2575645383 · outbound

This paper cites Non-local Neural Networks.

Three Branches: Detecting Actions With Richer Features Non-local Neural Networks

Reference 8

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no resolver link, observed 2026-08-14T13:43:07.754325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.754325Z digest=sha256:c6c7fe958bd4c80a35765e1cc7ddebc82c314eb82b4c733a1512f652890e4381

Observation 0fb3a362-7dd5-42e7-b12b-6324ec18ce0d · outbound

This paper cites Video Action Transformer Network.

Three Branches: Detecting Actions With Richer Features Video Action Transformer Network

Reference 9

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no resolver link, observed 2026-08-14T13:43:07.768342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.768342Z digest=sha256:c76cdc628e577e60875456ab1dc947acd0b04108190decd294cc94e8ddab7407

Observation 2dc36ddd-6b5f-4f18-a765-b494687c3a91 · outbound

This paper cites Long-Term Feature Banks for Detailed Video Understanding.

Three Branches: Detecting Actions With Richer Features Long-Term Feature Banks for Detailed Video Understanding

Reference 10

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no resolver link, observed 2026-08-14T13:43:07.775584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.775584Z digest=sha256:cb57cc24cf5a9f295fe10abd4629d069754d22607e92639e5a2f8a0b7b6c5267

Observation d84c32b6-7dba-45ed-83e8-faca298ea32e · outbound

This paper cites The Kinetics Human Action Video Dataset.

Three Branches: Detecting Actions With Richer Features The Kinetics Human Action Video Dataset

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.793614Z digest=sha256:98c5474abbd593a1a5f17ebf81e99052065970ad700683ecc11290d8987db76a

Observation 605ccf17-8e2d-433b-90fc-107fe4256686 · outbound

This paper cites A Short Note about Kinetics-600.

Three Branches: Detecting Actions With Richer Features A Short Note about Kinetics-600

Reference 12

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no resolver link, observed 2026-08-14T13:43:07.803303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.803303Z digest=sha256:c92ba95136718bd52caf6bd75f612147fb1d1ef6f1412c6f83f9d47e7a6682e9

Observation 408df1ac-c03b-4510-ad13-7b38a457154d · outbound

This paper cites Moments in time dataset: one million videos for event understanding.

Three Branches: Detecting Actions With Richer Features Moments in time dataset: one million videos for event understanding

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-14T13:43:09.102718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.811593Z digest=sha256:120daba797589007c9d3b28785c665a539a8e3027f2b49838171a6b3f632d8da

Observation e3af1b65-53f7-4f46-8851-84dd85132ee9 · outbound

This paper cites an unresolved cited work.

Three Branches: Detecting Actions With Richer Features Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-14T13:43:09.064335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.817094Z digest=sha256:763625a60b46e61fa52a9001c31554f5371dd7fba14c25cf615d862dba86ec43

Observation 80870d81-521d-4112-adbc-a659ebb4b612 · outbound

This paper cites Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta.

Three Branches: Detecting Actions With Richer Features Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-14T13:43:09.031843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.827176Z digest=sha256:0ee19872711a3ee454b59ffe8ffd365541dbdb2ed794f96eb31b9cee83197745

Observation ff182fa5-01c6-4e99-8084-1cc7e4776dae · outbound

This paper cites AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions.

Three Branches: Detecting Actions With Richer Features AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

Reference 16

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no resolver link, observed 2026-08-14T13:43:07.834383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.834383Z digest=sha256:4a5e422809e00798a32d969d1ec4a954eebc563aca3f2caf372365e487bac7bb

Observation db1ee7c8-e62a-4b22-8f20-94a6db5e4f18 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Three Branches: Detecting Actions With Richer Features Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 17

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no resolver link, observed 2026-08-14T13:43:07.844239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.844239Z digest=sha256:458dd1a21a6cd3eb3aa697dc6291b927abc78289728dca8bcf19507ee8361499

Observation 6294e467-cb16-436a-95d1-2e567eae337a · outbound

This paper cites Focal Loss for Dense Object Detection.

Three Branches: Detecting Actions With Richer Features Focal Loss for Dense Object Detection

Reference 18

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unresolved
no resolver link, observed 2026-08-14T13:43:07.854201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.854201Z digest=sha256:a66b6f7e21da6635c0cc6f108ca0930583556fe8ffa6519879ce5ba324a01d0b

Observation 68698728-99e5-47d6-8e75-82933537359b · outbound

This paper cites YH Technologies at ActivityNet Challenge 2018.

Three Branches: Detecting Actions With Richer Features YH Technologies at ActivityNet Challenge 2018

Reference 19

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verified exact
local_arxiv, observed 2026-08-14T13:43:08.188871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.861043Z digest=sha256:1f325e77fbb58420f942c2be8cd8899335f9cf9723d48cf7937c854a6fc34e6e

Observation 810a9b00-183f-4ea3-ab7e-8de70dc12796 · outbound

This paper cites A Better Baseline for AVA.

Three Branches: Detecting Actions With Richer Features A Better Baseline for AVA

Reference 20

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verified exact
local_arxiv, observed 2026-08-14T13:43:08.121767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.874964Z digest=sha256:72a02ee470df864847ac8124eda68fc4159acd3748e839d438f85f967286d988

Observation b8874b59-9822-4f13-a99c-4651d5a98701 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Three Branches: Detecting Actions With Richer Features Microsoft COCO: Common Objects in Context

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.887959Z digest=sha256:26d1c8f00259e3ec18f8f9efb400aa04bf93a23bee78f732004204a7c05687e7

Observation 260620be-d5ab-4be0-bc17-0e53b41fb72d · outbound

This paper cites RMPE: Regional Multi-person Pose Estimation.

Three Branches: Detecting Actions With Richer Features RMPE: Regional Multi-person Pose Estimation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:43:07.997269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:43:07.905464Z digest=sha256:7d32fe4d6d3a144aecc12035d86b9e4d134f25b23da494f635c0eb8475ba7951

Pith citing papers

No inbound Pith citation observations are available.