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Paper Citation Record · LEDGER

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.07410.

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

pith.paper-citation-record.v1
1908.07410 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:06.576945Z

measured 37 of 37 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

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bd8c0ea-601d-4c31-bfc1-80e9ba0de261 · outbound

This paper cites Aggregating local deep features for image retrieval.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Aggregating local deep features for image retrieval

Reference 1

Resolution
verified fuzzy
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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.

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Observation 44a20b06-953c-4542-8c90-dcfe9f0e7d61 · outbound

This paper cites LAMV: Learning to align and match videos with ker- nelized temporal layers.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning LAMV: Learning to align and match videos with ker- nelized temporal layers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.182279Z

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.

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Observation 97a3120f-0f91-4a43-bbee-34b58c5b4074 · outbound

This paper cites Parametric correspondence and chamfer matching: Two new techniques for image matching.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Parametric correspondence and chamfer matching: Two new techniques for image matching

Reference 3

Resolution
verified fuzzy
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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.

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Observation e58cd59b-948f-4f14-b9e4-6263e093241b · outbound

This paper cites Activitynet: A large-scale video benchmark for human activity understanding.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Activitynet: A large-scale video benchmark for human activity understanding

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.149907Z

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=2026-08-14T12:22:06.420696Z digest=sha256:4ea79ff7771727186021db9e2627c2e808bdfe2c0f1d03a50bdb10ffb6c80794

Observation db769508-0898-4e37-8324-335e25d9f056 · outbound

This paper cites Million-scale near-duplicate video retrieval system.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Million-scale near-duplicate video retrieval system

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.130861Z

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=2026-08-14T12:22:06.425587Z digest=sha256:1eb6ca2a534e9455f27a6fa1eef2edb89e942be8a700bda50c9465f2ce13ba03

Observation 744fa5ae-114f-448a-8af3-6de1e62971d6 · outbound

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

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.115340Z

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=2026-08-14T12:22:06.430695Z digest=sha256:c5006ea1970ebe480b9718918eab4092ead94fdd08f2ef362322f625bed82740

Observation b6b81749-ebab-45f7-9978-4f79c42e4f83 · outbound

This paper cites Pattern- based near-duplicate video retrieval and localization on web- scale videos.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Pattern- based near-duplicate video retrieval and localization on web- scale videos

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.099372Z

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=2026-08-14T12:22:06.436064Z digest=sha256:42e8455420f0becc0caa41f3c5cd54a2b6a5bdb877e9c56dd486c8fa6f990e30

Observation 978e1a25-b122-42ac-abfb-ea6c00054d0d · outbound

This paper cites An image-based approach to video copy detection with spatio- temporal post-filtering.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning An image-based approach to video copy detection with spatio- temporal post-filtering

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.084208Z

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=2026-08-14T12:22:06.440737Z digest=sha256:63b86cad6914803f4622197a6bcd6e834151ecb8d47758d1d5121ca02e143d09

Observation fb82e88a-d43a-483e-8d1c-b20e0a3cafd3 · outbound

This paper cites Stable hyper-pooling and query expansion for event detection.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Stable hyper-pooling and query expansion for event detection

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.069863Z

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=2026-08-14T12:22:06.445470Z digest=sha256:af0efbd007b7db2c12424743cf58593a941ad794f5c49c4692ba2acb212b72b2

Observation 92949879-d7b4-4cdc-a16c-2af72ca34654 · outbound

This paper cites Video re-localization.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Video re-localization

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.055241Z

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=2026-08-14T12:22:06.450222Z digest=sha256:eaad06942c143a96f02f97131cf1cc646d353ea7a8b4f151effd7d198542880a

Observation 09f480d9-2a7c-4a91-be1e-a320d45fd2d5 · outbound

This paper cites ER3: A unified framework for event retrieval, recognition and recounting.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning ER3: A unified framework for event retrieval, recognition and recounting

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.040907Z

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=2026-08-14T12:22:06.454983Z digest=sha256:c61d9fd70c4983d58a428abf4d4487d8b877b76328cb17ccda3f6d96484f2e3c

Observation 82d05040-dad8-49a1-802f-7fc545569dba · outbound

This paper cites Unsupervised t-distributed video hashing and its deep hashing extension.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Unsupervised t-distributed video hashing and its deep hashing extension

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.025268Z

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=2026-08-14T12:22:06.459740Z digest=sha256:170cac0fa85f45de92facd6e012a50eaa473aa631bb890a3514decbb0a09a5d6

Observation 5af556c7-c8af-40e4-953f-2f9e6346ea07 · outbound

This paper cites Deep residual learning for image recognition.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Deep residual learning for image recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:07.008937Z

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=2026-08-14T12:22:06.464219Z digest=sha256:0b6fcf0f43d8431ab84f17ed531e1e70fde12b89805a6dc60aadeb2b2d813410

Observation 1056a85e-448d-490b-9d98-5050c114b331 · outbound

This paper cites Learning spatial-temporal fea- tures for video copy detection by the combination of cnn and rnn.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Learning spatial-temporal fea- tures for video copy detection by the combination of cnn and rnn

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.992920Z

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=2026-08-14T12:22:06.468746Z digest=sha256:3caad0ec952c797562489eddbf5adbe984ef76145a7a4c1937c13fcc19a5d8ca

Observation 30e472cc-c4e2-4976-b49e-c1ec7f149435 · outbound

This paper cites Negative evidences and co- occurences in image retrieval: The benefit of pca and whiten- ing.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Negative evidences and co- occurences in image retrieval: The benefit of pca and whiten- ing

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.976463Z

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=2026-08-14T12:22:06.473185Z digest=sha256:c9358aada44303c66be4bcfdcad62b57f26e665d67f32f575b39157f65a4ec0a

Observation 52ba0457-e386-495c-9071-e137549a51b0 · outbound

This paper cites VCDB: a large-scale database for partial copy detection in videos.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning VCDB: a large-scale database for partial copy detection in videos

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.961403Z

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=2026-08-14T12:22:06.477445Z digest=sha256:9dab412d79ada316f0e68d769f62929149ce2b064adf738b20c68ddc8e97e3bb

Observation cdad8eee-0b3f-403a-999b-03c66f92b62f · outbound

This paper cites Partial copy detection in videos: A benchmark and an evaluation of popular methods.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Partial copy detection in videos: A benchmark and an evaluation of popular methods

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.945802Z

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=2026-08-14T12:22:06.481642Z digest=sha256:bb1b436304dcd245fed16b37765ebbd719de85d334bf8d8877db4c83982cd2ed

Observation 87d3fec5-9f34-487a-9cdb-019fd8d14afe · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Adam: A Method for Stochastic Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:06.485993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:22:06.485993Z digest=sha256:f2d60283dad070e0bc833e703fa7ce7312b3546e12f066a2cd57b3aaba07402b

Observation 5e4c8008-e3f6-443f-99cc-e6daac067fa0 · outbound

This paper cites FIVR: Fine-grained Incident Video Retrieval.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning FIVR: Fine-grained Incident Video Retrieval

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:22:06.658827Z

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=2026-08-14T12:22:06.490960Z digest=sha256:7ad8f49b45039dbe2b3d42b9695b18b6a565db3a933ab029e04f2311f8f91e41

Observation 640d3315-a837-4bc1-a7f4-acd39753ed89 · outbound

This paper cites Near-duplicate video re- trieval by aggregating intermediate cnn layers.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Near-duplicate video re- trieval by aggregating intermediate cnn layers

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.930377Z

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=2026-08-14T12:22:06.496244Z digest=sha256:523b3ade3e13b51f0ba153e7f96a93600e9779a0f492c917703121cb28144130

Observation e05498e9-e53e-4f0d-a1dc-36dfff043b2f · outbound

This paper cites Near-duplicate video re- trieval with deep metric learning.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Near-duplicate video re- trieval with deep metric learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.914802Z

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=2026-08-14T12:22:06.500841Z digest=sha256:83872d53c9edcb3bb28c38c113f42b3f689b88575cb704f51a4d38c16b7b6f8e

Observation 30a78e6f-1a0e-402d-b351-5a407c4e1e3e · outbound

This paper cites IR feature embedded bof indexing method for near-duplicate video re- trieval.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning IR feature embedded bof indexing method for near-duplicate video re- trieval

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.899672Z

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=2026-08-14T12:22:06.505422Z digest=sha256:2d76ed32e6bacbfcbf0d212518b115b372741a2887f789722446d2625881f07e

Observation 756e8935-76a7-48db-b017-3171bb19a5a4 · outbound

This paper cites Deep video hashing.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Deep video hashing

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.884937Z

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=2026-08-14T12:22:06.509877Z digest=sha256:17df37a494f17f18771a1d40999cc1daa4fa1dbe7b0b553fb35744dea89787cc

Observation ee9381c7-0aa6-482d-a4e4-bfd3f02e146f · outbound

This paper cites An image-based near-duplicate video retrieval and localization using improved edit distance.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning An image-based near-duplicate video retrieval and localization using improved edit distance

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.870266Z

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=2026-08-14T12:22:06.514850Z digest=sha256:38b4883c79b4d98eea526a05c50ced9b89a745a65c52d604590e9e1c75882829

Observation 2078630b-5a88-473e-9182-5267f77dee2d · outbound

This paper cites Near-duplicate video re- trieval: Current research and future trends.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Near-duplicate video re- trieval: Current research and future trends

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.855806Z

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=2026-08-14T12:22:06.520626Z digest=sha256:f0cb9b10926af8096120bb122096d6f411e5c8d876297fd67889ce123b84b9b1

Observation 28692ec8-70cd-489d-a0f0-a85006c14fc9 · outbound

This paper cites Temporal matching kernel with explicit feature maps.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Temporal matching kernel with explicit feature maps

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.841153Z

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=2026-08-14T12:22:06.525576Z digest=sha256:16a466a93aea8613d16ccba7d6c8da129b9238facacef92f5e4a03ab96d8e8dc

Observation c534a7f7-77a3-4367-82f9-3a32fe0ce4a8 · outbound

This paper cites Fine- tuning CNN image retrieval with no human annotation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Fine- tuning CNN image retrieval with no human annotation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.823578Z

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=2026-08-14T12:22:06.530554Z digest=sha256:75bed39f03fbd234f00fd5aea17172529493514a205666146cb7e2bee0ed7d20

Observation 2b9672bd-c08a-4180-966f-4ca5e4b119c8 · outbound

This paper cites Event retrieval in large video collections with circulant temporal encoding.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Event retrieval in large video collections with circulant temporal encoding

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.807374Z

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=2026-08-14T12:22:06.535554Z digest=sha256:5a2554d2cf2d00a064c35da23debea4333bdc4e88a1f0a63e62091bff7b33f00

Observation 87fb26ea-b994-4940-9021-73cf1e40d7cb · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:06.539795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:22:06.539795Z digest=sha256:70069ce0315a6e86db236f6eb48fe8c5c8991ad4bf437c2791c107bee7599a1d

Observation 03eaa98a-b17b-4dcd-90ce-e227f46c1667 · outbound

This paper cites Multiple feature hashing for real-time large scale near-duplicate video retrieval.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Multiple feature hashing for real-time large scale near-duplicate video retrieval

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.790806Z

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=2026-08-14T12:22:06.544920Z digest=sha256:fc9e99dc8150b546575bcacc04f7d30e7a2a0a796588c0df8050e35a31dd2632

Observation b8df42fe-093c-4e44-9a4d-f85c410ed4a9 · outbound

This paper cites Self-supervised video hashing with hierarchical binary auto-encoder.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Self-supervised video hashing with hierarchical binary auto-encoder

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.774634Z

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=2026-08-14T12:22:06.549326Z digest=sha256:9f1d4236c45239b22fc8739e02abb7f456912eec49a54c1d24e5d6b24ca4bf3f

Observation 8c3b8499-53f8-4786-a31d-d7b0a628ac47 · outbound

This paper cites Scalable detection of partial near-duplicate videos by visual-temporal consistency.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Scalable detection of partial near-duplicate videos by visual-temporal consistency

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.757209Z

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=2026-08-14T12:22:06.553640Z digest=sha256:ab67924e67ab2b63d4bc96afef34e977f29e60fb7b541c9acf4cb96648a2e3ed

Observation bffb61cb-8375-4c4b-8c0d-783eff3a93d6 · outbound

This paper cites Particular object retrieval with integral max-pooling of CNN activations.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Particular object retrieval with integral max-pooling of CNN activations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:06.557962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:22:06.557962Z digest=sha256:7346e073477561f987681a7a787dbd1186ba4b71763f348e90df2518846e2710

Observation 2752d8cf-6010-4cb3-8c3d-5cdee156ba33 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Learning spatiotemporal features with 3d convolutional networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.741681Z

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=2026-08-14T12:22:06.562543Z digest=sha256:2bcd785be73978b05e0fffc1575db56ef61a71371a6513a426aefbfa5b4312ad

Observation 6c970fc3-b3c9-4e61-86a6-44885d055e0c · outbound

This paper cites Practical elimination of near-duplicates from web video search.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Practical elimination of near-duplicates from web video search

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.725691Z

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=2026-08-14T12:22:06.567225Z digest=sha256:004270d1f80d6883c86cfafd25fd2f1c797855f570d13e54658e4927a6fe6ad7

Observation 12637740-d02e-49fb-be67-a8fb8803d607 · outbound

This paper cites Deep multi-task representation learning: A tensor factorisation approach.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Deep multi-task representation learning: A tensor factorisation approach

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.710187Z

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=2026-08-14T12:22:06.572231Z digest=sha256:b59d985003b9f615495aa9417d8398c03c43a2b572c75dd57fd822d3e4a5a697

Observation 5f241b75-b6d2-4307-921c-76ee32a940f8 · outbound

This paper cites Hierarchical attention networks for document classification.

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning Hierarchical attention networks for document classification

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:06.693241Z

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=2026-08-14T12:22:06.576945Z digest=sha256:dc39b746655d83d5303427b2f90d6eab4d8777a5e3a3ddf01dd7bdec3d46c2ba

Pith citing papers

No inbound Pith citation observations are available.