Pith. sign in

Paper Citation Record · LEDGER

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.05674.

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

pith.paper-citation-record.v1
1908.05674 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:17:30.887209Z

measured 32 of 32 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

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b7aecdc-10b8-47fe-91b6-5eda032fa9e1 · outbound

This paper cites In: NIPS (2014).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: NIPS (2014)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.433103Z

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=pdf_text observed=2026-08-14T13:17:30.730402Z digest=sha256:426051d2e8e8b945d6930a0cf0069e48ca3482d51a851975d6186697be3f20a0

Observation 157cd215-bf55-4ced-b181-72cb54e10168 · outbound

This paper cites Yu.: 3D convolutional neural networks for human action recognition.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles Yu.: 3D convolutional neural networks for human action recognition

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.417912Z

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=pdf_text observed=2026-08-14T13:17:30.736556Z digest=sha256:d3860b2d3ca51950806797e06de1b76e6524db6dc82c05861d70aff39f9f7f43

Observation b00e05b5-fe5b-4dc2-9990-55215f948081 · outbound

This paper cites A., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., and Darrell, T.: Long-term recurrent convolutional networks for visual recognition and de- scription.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles A., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., and Darrell, T.: Long-term recurrent convolutional networks for visual recognition and de- scription

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.400367Z

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=pdf_text observed=2026-08-14T13:17:30.741912Z digest=sha256:6233fc34b220fe94bb27b9780340cf032ca38269c934a76a8f7d5bea5cb65798

Observation 24e33594-b267-4735-900f-bdab41b59a23 · outbound

This paper cites In: CVPR (2017).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2017)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.383084Z

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=pdf_text observed=2026-08-14T13:17:30.746901Z digest=sha256:c5c485c6f3a2147b1fc7620f23c1dd3a8bebb6c7b29617cbbb03b1a185d9c3d5

Observation 6be4e9fd-9bb2-48ad-a404-2c7c34318426 · outbound

This paper cites R., and Shah, M.: UCF101: A dataset of 101 human actions classe s from videos in the wild.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles R., and Shah, M.: UCF101: A dataset of 101 human actions classe s from videos in the wild

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.367590Z

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=pdf_text observed=2026-08-14T13:17:30.752249Z digest=sha256:efc75dfa43dfd2401f6b8ae2cd4c39a08bbb7e3254fd9d79aae657a9f46dc769

Observation 57519fc1-2720-473f-a56a-947cb1134b94 · outbound

This paper cites In: ICCV (2011).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: ICCV (2011)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.351592Z

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=pdf_text observed=2026-08-14T13:17:30.757160Z digest=sha256:58beb3f8880ab0d742621b80d7d453c104a0e487532e1c6ca9a60a40830cc52c

Observation 2c833a6e-58db-4074-b7a0-6f6d51448944 · outbound

This paper cites In: CVPR (2011).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2011)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.336216Z

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=pdf_text observed=2026-08-14T13:17:30.762529Z digest=sha256:ae3dc45ba589ef2c2b9333d991bb945e90d7b6f497a43e3c65a7e2395dbdebe7

Observation 08260009-d7b8-4677-9ed5-9b5e7c669632 · outbound

This paper cites In: ICCV (2013).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: ICCV (2013)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.321154Z

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=pdf_text observed=2026-08-14T13:17:30.767290Z digest=sha256:a4d4e2a18fa49bc98231180a825df0f8830cdaca77debabda01b0e9b483a1251

Observation 006b19db-db04-4df0-a24a-9a0e90b2ee75 · outbound

This paper cites In: DAGM (2007).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: DAGM (2007)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.305370Z

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=pdf_text observed=2026-08-14T13:17:30.773127Z digest=sha256:8c31e70eb15fff95cbd420a06c3cac8066becdeefc56600ec4f584ec4bcbd0d7

Observation f3440aeb-cd44-4714-ab2d-39f67919b840 · outbound

This paper cites v.d., Cremers, D., and Brox, T.: Flownet: Learning optical flow with convolutional networks.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles v.d., Cremers, D., and Brox, T.: Flownet: Learning optical flow with convolutional networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.289027Z

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=pdf_text observed=2026-08-14T13:17:30.778138Z digest=sha256:b3c614149ed34966b8120c204f5f679e714ac231087a216db4581429038cede2

Observation 8d7670c6-1ff7-4028-b050-5315ee1b48a8 · outbound

This paper cites and Brox, T.: Flo wnet 2.0: Evo- lution of optical flow estimation with deep networks.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles and Brox, T.: Flo wnet 2.0: Evo- lution of optical flow estimation with deep networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.272461Z

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=pdf_text observed=2026-08-14T13:17:30.783550Z digest=sha256:afeed7fe31d929c64d23263fbcaf1b8ba103b35a6d0e0b2460e34062a15d6b41

Observation 2b4530b3-a2cd-4e1d-adca-0fbd0a138a1c · outbound

This paper cites Compressed Video Action Recognition.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles Compressed Video Action Recognition

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T13:17:30.964492Z

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=pdf_text observed=2026-08-14T13:17:30.788144Z digest=sha256:1009c3447f1e14f3b100ace969141b1715bf5aa6a2adaecde343ea169f007634

Observation d9905da9-ada4-4582-8560-7892f7926250 · outbound

This paper cites M.: Motion from Color.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles M.: Motion from Color

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.254464Z

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=pdf_text observed=2026-08-14T13:17:30.793146Z digest=sha256:14643281ffff2b95104b0dae231dc9fe3cc7c5639ce5d6cc6acbf3c0f619855b

Observation 5d43b489-2040-4f28-a099-f343f14355c8 · outbound

This paper cites In: International Journal of Information & Computation Technology (2014).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: International Journal of Information & Computation Technology (2014)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.237169Z

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=pdf_text observed=2026-08-14T13:17:30.797880Z digest=sha256:9aae71f5f16b13ca202db581863f13cd6fa6edc18f8a7908706fd5cd47f5b141

Observation b3353acb-515e-4e52-a789-2a27dd3b4816 · outbound

This paper cites In: CVPR (2018).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2018)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.221511Z

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=pdf_text observed=2026-08-14T13:17:30.802354Z digest=sha256:17aff1de20008119640b13797d3ba821f9a9b7616ea70a0bc7e1ff90a09044fa

Observation a785e745-482e-48ce-b63e-bca8b8e839b9 · outbound

This paper cites In: ACCV (2018).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: ACCV (2018)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.206604Z

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=pdf_text observed=2026-08-14T13:17:30.807383Z digest=sha256:e82f209bb20e74aae6a9cf534f33458ff58b087a5e86f0ff899aedccc9609f85

Observation 037e2dc7-2ce9-4291-9996-8069a205b157 · outbound

This paper cites In: IJCAI (2019).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: IJCAI (2019)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.191245Z

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=pdf_text observed=2026-08-14T13:17:30.811844Z digest=sha256:aeccade708f8721f6c359eed2e2b1172a2c539bff07754dc4a2d042a8371eead

Observation bc66bcf1-8c08-4905-9cbe-6aa90749004e · outbound

This paper cites In: ACM SIGKDD (2006).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: ACM SIGKDD (2006)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.175238Z

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=pdf_text observed=2026-08-14T13:17:30.816432Z digest=sha256:30a96677e19149b4990497f60dcfc615cd877ee6678a121151a779bcc6eabba5

Observation bd786cc7-22d7-44a0-8d52-5a3171abba04 · outbound

This paper cites In: NIPS workshop (2015).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: NIPS workshop (2015)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.158946Z

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=pdf_text observed=2026-08-14T13:17:30.821717Z digest=sha256:7de3f9c7fb9fae8b1dc1b391151bf364c1bfce292d2e33e404daf4a23fc791b3

Observation 8d135172-173d-4ba1-9dd2-3e587e230ec5 · outbound

This paper cites Computer Science, 14(7), 38-39 (2015).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles Computer Science, 14(7), 38-39 (2015)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.143264Z

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=pdf_text observed=2026-08-14T13:17:30.826729Z digest=sha256:e425890d5ffb9050c71f18bf051ab12ad0859e8ab8863b95c3e71ad1e645353b

Observation abc0a149-6a31-4f67-a8cf-5fbd47163578 · outbound

This paper cites JMIR.org, 16(1), 2023-2049 (2015).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles JMIR.org, 16(1), 2023-2049 (2015)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.126758Z

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=pdf_text observed=2026-08-14T13:17:30.831941Z digest=sha256:5467275cc1667b8a52511aa3f4df409d3d8f4f5792031060f17932e8668e3a1e

Observation 5e73a6f4-e1d8-4cfd-b8ff-d34783123944 · outbound

This paper cites Computer Science (2015).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles Computer Science (2015)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.110084Z

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=pdf_text observed=2026-08-14T13:17:30.836627Z digest=sha256:f1dfc3245a1c26bcf2b34ea8553f69ad434a180c6934ddb77518e733e6663722

Observation 894d7364-f76b-4764-8749-480b70c1b133 · outbound

This paper cites H., Song, B.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles H., Song, B

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.094382Z

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=pdf_text observed=2026-08-14T13:17:30.841468Z digest=sha256:9a3d296860c6e43fd537c01ef326ac4362721708b907d2fcd950ab68ff0722ee

Observation 1572083f-ec11-4392-9921-35d4a1b85d9a · outbound

This paper cites In: 2018 ACM Multimedia Con- ference on Multimedia Conference.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: 2018 ACM Multimedia Con- ference on Multimedia Conference

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.078120Z

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=pdf_text observed=2026-08-14T13:17:30.846646Z digest=sha256:d63094f55c75f4d713397a0ad096912c15b4f4f4f195ea0313c207970cb5d932

Observation c2b988e7-a0a7-48ad-96a1-d97592f5cbf6 · outbound

This paper cites Graph-based Knowledge Distillation by Multi-head Attention Network.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles Graph-based Knowledge Distillation by Multi-head Attention Network

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T13:17:30.851233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:17:30.851233Z digest=sha256:7e3340667e6e1cd54156d5ff1ef1f1530c2a4469b599cfbc92db72fabb95613b

Observation 36a34924-9cca-4f0e-9fc1-7a549fb796a4 · outbound

This paper cites In: CVPR (2019).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2019)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.062759Z

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=pdf_text observed=2026-08-14T13:17:30.855859Z digest=sha256:71df516f755be446cd33a8f8764377ddfd8b15f36ab49275e072b132f63dddba

Observation 81fcc80b-780a-4093-ae94-918e019aa4f0 · outbound

This paper cites In: CVPR (2019).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2019)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.044540Z

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=pdf_text observed=2026-08-14T13:17:30.861856Z digest=sha256:05bd6063607911f4ab1c3c541218e02821596e1f8492fb32fab618e9929d7aa4

Observation e0cb91f0-4bc6-4146-9955-73e5072f6715 · outbound

This paper cites In: CVPR (2019).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2019)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.028168Z

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=pdf_text observed=2026-08-14T13:17:30.866421Z digest=sha256:b25b7dff872afe080164b4e50da434d071e11a14dd36d3cab464be5f9a001766

Observation 41daed33-61c3-4c04-90bc-b5e2d60b8232 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles The Kinetics Human Action Video Dataset

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:17:30.871245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:17:30.871245Z digest=sha256:47123ae0c3f4a653763069ce1e7bd8a1ac7bd35cadcdda0c8072dbf6427410e7

Observation 6e400217-354b-4c13-95b7-3436d0b034bc · outbound

This paper cites R., and Shah, M.: UCF101: a dataset of 101 human actions classes from videos in the wild.

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles R., and Shah, M.: UCF101: a dataset of 101 human actions classes from videos in the wild

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:31.012521Z

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=pdf_text observed=2026-08-14T13:17:30.876915Z digest=sha256:7f60eb1655ab0a9c72a5e553df0e1d61f7032a7767d9cf458a950e6cf1598d36

Observation aebcb56d-305f-4448-9f98-13751e95cb42 · outbound

This paper cites In: CVPR (2018).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2018)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:30.996130Z

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=pdf_text observed=2026-08-14T13:17:30.882320Z digest=sha256:7cd39b27a1463266ebc14829b231de6064b116d02206990593f17d5e2c32b6b4

Observation a42a3a94-73d0-46ae-b59e-af8aa4c03b73 · outbound

This paper cites In: CVPR (2017).

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles In: CVPR (2017)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:30.980936Z

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=pdf_text observed=2026-08-14T13:17:30.887209Z digest=sha256:5df81fff30bc9e7050d00aa22b44c5afec52533f97bb2d28f1bb7fa5f42d3aa7

Pith citing papers

No inbound Pith citation observations are available.