Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:31:18.916402Z
Paper Citation Record · LEDGER
Deep Generalized Max Pooling
As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.05040.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
38 of 38 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ccbf1af9-0c73-4ffa-acab-5dee3c755050 · outbound
This paper cites Convolutional Neural Networks for Font Classification,.
Deep Generalized Max Pooling Convolutional Neural Networks for Font Classification,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.309881Z
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.
Observation 486b2830-8eca-42b5-b605-796739d76ac2 · outbound
This paper cites PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents,.
Deep Generalized Max Pooling PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.300269Z
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.
Observation a05a27bf-3037-4664-9975-c53570f0b806 · outbound
This paper cites Unsupervised Feature Learning for Writer Identification and Writer Retrieval,.
Deep Generalized Max Pooling Unsupervised Feature Learning for Writer Identification and Writer Retrieval,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.290240Z
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.
Observation e816619d-f907-4170-b9d7-dfbf97c66382 · outbound
This paper cites Deep Residual Learning for Image Recognition,.
Deep Generalized Max Pooling Deep Residual Learning for Image Recognition,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.279798Z
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.
Observation e2ff2637-d3a8-4cac-9056-2eefbb9672c5 · outbound
This paper cites Densely connected convolutional networks,.
Deep Generalized Max Pooling Densely connected convolutional networks,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.270447Z
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.
Observation 418544d6-a40f-42d2-9d66-cfa1fa02c2e9 · outbound
This paper cites Is Object Localization for Free? - Weakly-Supervised Learning with Convolutional Neural Networks,.
Deep Generalized Max Pooling Is Object Localization for Free? - Weakly-Supervised Learning with Convolutional Neural Networks,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.260744Z
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.
Observation 524782f9-a8f3-4f5a-bd8c-4d6f0bc9500a · outbound
This paper cites Interferences in Match Kernels,.
Deep Generalized Max Pooling Interferences in Match Kernels,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.250554Z
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.
Observation cf9b9725-13e6-4840-bca5-f2317a043352 · outbound
This paper cites On the Burstiness of Visual Elements,.
Deep Generalized Max Pooling On the Burstiness of Visual Elements,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.240973Z
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.
Observation 1c2eac02-9641-458a-84e4-5e75e73e1c12 · outbound
This paper cites Improving the Fisher Kernel for Large-Scale Image Classification,.
Deep Generalized Max Pooling Improving the Fisher Kernel for Large-Scale Image Classification,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.230648Z
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.
Observation 98bd7040-33ba-4c95-95a0-af03196e4512 · outbound
This paper cites Generalized Max Pooling,.
Deep Generalized Max Pooling Generalized Max Pooling,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.220648Z
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.
Observation f1244658-3270-42b0-8e05-53f2ca33e62a · outbound
This paper cites Triangulation Embedding and Democratic Aggregation for Image Search,.
Deep Generalized Max Pooling Triangulation Embedding and Democratic Aggregation for Image Search,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.211623Z
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.
Observation 05998c15-9900-48bd-8bd3-1c6c0f697aee · outbound
This paper cites Gradient-based Learning Applied to Document Recognition,.
Deep Generalized Max Pooling Gradient-based Learning Applied to Document Recognition,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.202722Z
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.
Observation a0d7b0da-8a6e-481a-93a0-954d7f0fb49a · outbound
This paper cites Network In Network.
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:31:18.838580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c15ad83d-c642-4e90-863b-4533c5ef0f16 · outbound
This paper cites Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks,.
Deep Generalized Max Pooling Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.192805Z
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.
Observation c55054ac-7265-4fa2-b9aa-8d1938ee16f7 · outbound
This paper cites Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree,.
Deep Generalized Max Pooling Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.183203Z
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.
Observation 115b4221-cf2b-4a5e-b16e-053c0c1f3fb4 · outbound
This paper cites From image-level to pixel-level labeling with convolutional networks,.
Deep Generalized Max Pooling From image-level to pixel-level labeling with convolutional networks,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.172974Z
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.
Observation 914edea8-dd2e-4a14-9448-6c04fe11cbfe · outbound
This paper cites Clustering of medieval scripts through computer image analysis: towards an evaluation protocol,.
Deep Generalized Max Pooling Clustering of medieval scripts through computer image analysis: towards an evaluation protocol,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.163653Z
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.
Observation 6c09e3e7-9c72-4ddf-a045-4aec89d1ed04 · outbound
This paper cites Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts,.
Deep Generalized Max Pooling Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.153755Z
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.
Observation 4a565d99-e5e3-4948-b37f-7a873c381772 · outbound
This paper cites ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script,.
Deep Generalized Max Pooling ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.143640Z
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.
Observation 62c97993-ea0b-457b-945e-e755f670c9be · outbound
This paper cites ICDAR2017 Competition on the Classification of Medieval Handwritings in Latin Script,.
Deep Generalized Max Pooling ICDAR2017 Competition on the Classification of Medieval Handwritings in Latin Script,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.134066Z
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.
Observation 2314f116-3d3d-48be-b110-51f43cad28e1 · outbound
This paper cites Handwriting Analysis with Focus on Writer Identification and Writer Retrieval,.
Deep Generalized Max Pooling Handwriting Analysis with Focus on Writer Identification and Writer Retrieval,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.123904Z
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.
Observation 876d806b-d1fb-4ff0-808e-37b72bb5a9b2 · outbound
This paper cites Writer Identification and Retrieval Using a Convolutional Neural Network,.
Deep Generalized Max Pooling Writer Identification and Retrieval Using a Convolutional Neural Network,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.114248Z
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.
Observation da1d6191-14c3-452a-a3cb-18d361196fb8 · outbound
This paper cites Offline Writer Identification Using Convolutional Neural Network Activation Features,.
Deep Generalized Max Pooling Offline Writer Identification Using Convolutional Neural Network Activation Features,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.105527Z
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.
Observation 6d47676a-52d4-428e-9dcb-ce9f689e68ee · outbound
This paper cites Text-Independent Writer Identification via CNN Features and Joint Bayesian,.
Deep Generalized Max Pooling Text-Independent Writer Identification via CNN Features and Joint Bayesian,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.094898Z
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.
Observation 1eca63e7-f7fe-42dd-9991-390d38bb3ca7 · outbound
This paper cites Semi-supervised feature learning for improving writer identification,.
Deep Generalized Max Pooling Semi-supervised feature learning for improving writer identification,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.084679Z
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.
Observation ac223f3e-4c73-44e6-8f9f-8d9725d819ff · outbound
This paper cites Aggregating Local Image Descriptors into Compact Codes,.
Deep Generalized Max Pooling Aggregating Local Image Descriptors into Compact Codes,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.074894Z
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.
Observation 62c64406-a78f-4658-a3b0-791ae3c687a3 · outbound
This paper cites Encoding CNN Activations for Writer Recognition,.
Deep Generalized Max Pooling Encoding CNN Activations for Writer Recognition,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.065212Z
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.
Observation e8824571-eb7d-412d-a91a-5ca23a0a5956 · outbound
This paper cites Deep adaptive learning for writer identification based on single handwritten word images,.
Deep Generalized Max Pooling Deep adaptive learning for writer identification based on single handwritten word images,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.054743Z
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.
Observation 574992bd-84aa-4f71-a6e5-61385a4b2e2a · outbound
This paper cites Learning Features for Writer Retrieval and Identification using Triplet CNNs,.
Deep Generalized Max Pooling Learning Features for Writer Retrieval and Identification using Triplet CNNs,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.044947Z
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.
Observation 1cef9850-6c04-48e6-a39e-054b5d8fdda7 · outbound
This paper cites Precision Learning: Towards Use of Known Operators in Neural Networks,.
Deep Generalized Max Pooling Precision Learning: Towards Use of Known Operators in Neural Networks,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.035442Z
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.
Observation fab9ea8c-0802-498e-be72-48eaa04feca1 · outbound
This paper cites ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI),.
Deep Generalized Max Pooling ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI),
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.025347Z
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.
Observation e4b5ba00-dbf6-4707-8881-e0556e4a2667 · outbound
This paper cites A Computational Approach to Edge Detection,.
Deep Generalized Max Pooling A Computational Approach to Edge Detection,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.015558Z
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.
Observation cf32d010-fdeb-4037-a874-c42afb52df4f · outbound
This paper cites FaceNet: A Unified Embedding for Face Recognition and Clustering,.
Deep Generalized Max Pooling FaceNet: A Unified Embedding for Face Recognition and Clustering,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:19.005583Z
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.
Observation f9ba45c3-8314-461f-806d-14aeb8e9f550 · outbound
This paper cites In Defense of the Triplet Loss for Person Re-Identification.
Deep Generalized Max Pooling In Defense of the Triplet Loss for Person Re-Identification
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:31:18.903318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12e7d272-4cb5-4a7d-828a-0e7da84417aa · outbound
This paper cites On the Convergence of Adam and Beyond,.
Deep Generalized Max Pooling On the Convergence of Adam and Beyond,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:18.996007Z
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.
Observation dde32fbf-50c5-452e-b028-bc9b678d219e · outbound
This paper cites Adam: A Method for Stochastic Optimization,.
Deep Generalized Max Pooling Adam: A Method for Stochastic Optimization,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:18.985744Z
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.
Observation f99bad98-9647-4192-9f36-bcd87af72866 · outbound
This paper cites Efficient Sparse Coding Algorithms,.
Deep Generalized Max Pooling Efficient Sparse Coding Algorithms,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:18.975990Z
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.
Observation f76e6d79-73a5-4946-90ff-3ff4f443e811 · outbound
This paper cites Person ReID Triplet-Loss Baseline,.
Deep Generalized Max Pooling Person ReID Triplet-Loss Baseline,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:31:18.965607Z
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.
Pith citing papers
No inbound Pith citation observations are available.