Paper Citation Record · LEDGER

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.03915.

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

pith.paper-citation-record.v1
2412.03915 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:00:08.291409Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

31 of 31 outbound references displayed

verified exact3
verified fuzzy9
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 375b1730-46e6-4cf7-bc7b-7132b641bffb · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.533056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3cca7ca1-e1a0-4b41-926a-f79105602eb7 · outbound

This paper cites Tell Me Where to Look: Guided Attention Inference Network.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Tell Me Where to Look: Guided Attention Inference Network

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:00:08.878873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42904e67-a6a3-42ad-8814-a9a19a4e627c · outbound

This paper cites Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:07.993682Z

Source-reported events for the cited work

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Observation 51cf344f-ce71-4335-a09a-a9970c584072 · outbound

This paper cites & Sasan, A.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Sasan, A

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.006473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fcbbc80-2867-4837-b2f7-364b76b12ac8 · outbound

This paper cites R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.474220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea613ff9-17ef-438b-8ba5-8eaa667aa497 · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.441550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e23d0397-4ce4-4eaf-9b75-bf2c34f7f165 · outbound

This paper cites Stochastic Gradient Descent as Approximate Bayesian Inference.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Stochastic Gradient Descent as Approximate Bayesian Inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.040120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9056f880-b3de-4b27-99af-03d8a833a86a · outbound

This paper cites Investigating the influence of noise and distractors on the interpretation of neural networks.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Investigating the influence of noise and distractors on the interpretation of neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.048734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fa81720-f165-40e4-8fe1-d6b7c7b7cb05 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task SmoothGrad: removing noise by adding noise

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.056220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c68c1a-cbaf-4108-863c-f91f186446d1 · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.411107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6a45bae-b49e-49fe-aac0-4e5358950a4e · outbound

This paper cites R., & Samek, W.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task R., & Samek, W

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.376232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae3ee717-f183-443b-8160-d1c2acb88acc · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.347687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43bb5637-644f-4755-9779-5e2a949376fe · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.315298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa8f9bda-74f2-4af2-b95e-36cae3d7deae · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.283080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d208a19a-0d5d-487e-9959-6e506e4f96e6 · outbound

This paper cites an unresolved cited work.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:00:09.237145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e1d6ff2-915b-4a86-aa57-047bf0fe6d96 · outbound

This paper cites & Maknoon, R.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Maknoon, R

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.196762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef04f356-5c0c-4bde-882d-5e98e8cf721e · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.142322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a08b9f-a7aa-40b8-b5ce-481c670c63f1 · outbound

This paper cites Conservative algebras of $2$-dimensional algebras, V.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Conservative algebras of $2$-dimensional algebras, V

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:00:08.630763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f5e449a-622b-42dd-942f-efbb9530d671 · outbound

This paper cites & Feizi, S.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Feizi, S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.159553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e469f2b2-7c7f-4fdd-a522-2dad274b873b · outbound

This paper cites Owl: A General-Purpose Numerical Library in OCaml.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Owl: A General-Purpose Numerical Library in OCaml

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:00:08.583965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1a289c7-5c24-4420-a4f6-268b5533be66 · outbound

This paper cites & Theiler, J.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Theiler, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.129819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ba7a3b5-2aca-4a7a-92ff-45508a38f970 · outbound

This paper cites & Hinton, G.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Hinton, G

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.088178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 595f299c-5674-4a4c-855f-107b81806ff5 · outbound

This paper cites & Doshi-Velez, F.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Doshi-Velez, F

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:09.043918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2dfc5f57-aebf-4acc-90af-2eee63d1a2f9 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.223707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2853cdaf-2eb2-4343-904c-9ddaac7609ca · outbound

This paper cites & Sasan, A.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Sasan, A

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.234067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188cbb26-b46a-464a-9174-d306529ab100 · outbound

This paper cites & Burges, C.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Burges, C

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:08.981896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1bf69cd2-5998-4a5e-88f9-5bf7de47b702 · outbound

This paper cites & Hinton, G.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Hinton, G

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:00:08.946348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edff9064-2b66-4127-994b-8251ef7ddfdd · outbound

This paper cites Novel Saliency Analysis for the Forward Forward Algorithm.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Novel Saliency Analysis for the Forward Forward Algorithm

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.259021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d115dfb-71e8-47f2-b621-48dd15d43818 · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Captum: A unified and generic model interpretability library for PyTorch

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.268635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5fc2213-3e21-4da0-9e3f-337ff9fca00e · outbound

This paper cites & Sasan, A.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task & Sasan, A

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.278991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557a14c8-2ce8-4224-a1e8-52babeb1d501 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T22:00:08.291409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.