Paper Citation Record · LEDGER

FiFTy: Large-scale File Fragment Type Identification using Neural Networks

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:1908.06148.

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

pith.paper-citation-record.v1
1908.06148 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:57:32.727530Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:57:32.727530Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T12:57:32.773368Z

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy30
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8aa9d36b-ff0d-4d9d-af27-e592ca8369d0 · outbound

This paper cites Sceadan: Using Concate- nated N-Gram Vectors for Improved File and Data Type Classiﬁcation,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Sceadan: Using Concate- nated N-Gram Vectors for Improved File and Data Type Classiﬁcation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.149226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3dfc217-e2e5-4cfc-824f-c76b70fe1043 · outbound

This paper cites Using NLP techniques for ﬁle fragment classiﬁcation,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Using NLP techniques for ﬁle fragment classiﬁcation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.138353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f429199f-72ea-4475-a669-c7badfde6bd7 · outbound

This paper cites Statistical Disk Cluster Classiﬁcation for File Carving,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Statistical Disk Cluster Classiﬁcation for File Carving,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.127375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3de70928-baf2-44bc-b471-7c7ea327557a · outbound

This paper cites Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classiﬁcation,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classiﬁcation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.116522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2693ed06-2e72-4c91-9e7d-e1a7da3a9089 · outbound

This paper cites Cocost: a computational cost efﬁcient classiﬁer,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Cocost: a computational cost efﬁcient classiﬁer,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.105446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a4991a6-30a8-4871-865e-bfa8e066763a · outbound

This paper cites Jpgcarve: An advanced tool for automated recovery of fragmented jpeg ﬁles,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Jpgcarve: An advanced tool for automated recovery of fragmented jpeg ﬁles,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.094568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc3c65c4-0bca-4d21-ad1f-e578711c20fd · outbound

This paper cites File Type Identiﬁcation of Data Fragments by Their Binary Structure,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks File Type Identiﬁcation of Data Fragments by Their Binary Structure,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.083738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f973cfda-37ad-4479-b1de-67263347d001 · outbound

This paper cites Predicting the types of ﬁle fragments,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Predicting the types of ﬁle fragments,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.072335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bc30b3d-4e97-4a37-b3f3-ebfa498be957 · outbound

This paper cites A File Fragment Classiﬁcation Method Based on Grayscale Image,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks A File Fragment Classiﬁcation Method Based on Grayscale Image,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.061479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc8c8d3d-9d44-47b1-97c8-4ffd75823d05 · outbound

This paper cites JPEG Recovery Lab,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks JPEG Recovery Lab,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.049865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64c54d23-a642-4d56-bc09-1647d72cc9bd · outbound

This paper cites Carving orphaned jpeg ﬁle fragments,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Carving orphaned jpeg ﬁle fragments,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.037203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 722981b2-cffa-4129-8758-e9a51cadddf5 · outbound

This paper cites Every shred helps: Assembling evidence from orphaned jpeg fragments,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Every shred helps: Assembling evidence from orphaned jpeg fragments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.026187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 424ee352-0a80-4129-be38-dca7af94ec79 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Efficient Estimation of Word Representations in Vector Space

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T12:57:32.649843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4f9220-d3c8-4fd3-9816-d744d9aa7112 · outbound

This paper cites File fragment classiﬁcation using neural networks with lossless representations,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks File fragment classiﬁcation using neural networks with lossless representations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.014695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94a15af6-5e7d-477a-a88a-f2cae90364d9 · outbound

This paper cites File Fragment Classiﬁcation Using Grayscale Image Conversion and Deep Learning in Digital Forensics,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks File Fragment Classiﬁcation Using Grayscale Image Conversion and Deep Learning in Digital Forensics,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:33.002845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7a406bd-fc1c-4502-b2af-fd1b15a69d50 · outbound

This paper cites Overview of the high efﬁciency image ﬁle format,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Overview of the high efﬁciency image ﬁle format,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.992176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2fa0c4b6-df81-497c-97d3-4ec9e9ab1572 · outbound

This paper cites Algorithms for hyper- parameter optimization,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Algorithms for hyper- parameter optimization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.981566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d032e132-207d-4dae-904c-e8de5c8f519a · outbound

This paper cites The jpeg still picture compression standard,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks The jpeg still picture compression standard,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.970937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 307d0d39-989a-4798-a847-14e1dacaf655 · outbound

This paper cites A Fragment Classiﬁcation Method Depending on Data Type,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks A Fragment Classiﬁcation Method Depending on Data Type,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.959808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7232e8c0-7e0c-4e63-a387-0a78020a2f4d · outbound

This paper cites Data Type Classiﬁcation: Hierarchical Class-to-Type Modeling,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Data Type Classiﬁcation: Hierarchical Class-to-Type Modeling,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.948491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fdc1b4e-bfdc-4c63-af0b-5056f782a088 · outbound

This paper cites File fragment type (fft) - 75 dataset,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks File fragment type (fft) - 75 dataset,

Reference 21

Resolution: verified exact; doi, observed 2026-08-14T12:57:32.762362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 425a18ac-1b95-4d18-8447-39af5b1b3c8b · outbound

This paper cites GovDocs Dataset,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks GovDocs Dataset,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.936687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 846dfd10-b138-49d7-940a-3ea569f242bf · outbound

This paper cites Intel Movidius Myriad X VPU,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Intel Movidius Myriad X VPU,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.923584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bf0b3e1-97b0-47b6-b174-25819e97456e · outbound

This paper cites an unresolved cited work.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:57:32.911275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc281df4-37d9-4387-9e2b-25af2931cc63 · outbound

This paper cites Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.899433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b29d3711-5b2f-494a-b640-1b7bf8b1c012 · outbound

This paper cites Sequential model-based optimization for general algorithm conﬁguration,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Sequential model-based optimization for general algorithm conﬁguration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.888220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 934ece72-920e-450f-82d5-aa749985d87f · outbound

This paper cites Bz2 package,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Bz2 package,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.877414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28b5691a-cb1f-42d4-8c34-e4ff81fb0047 · outbound

This paper cites Zlib package,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Zlib package,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.866018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70253f94-15bc-480b-84e2-7cce253d13ae · outbound

This paper cites Sceadan - open source implementation,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Sceadan - open source implementation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.853081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8672810-7c50-4913-b5d1-96cd3947be27 · outbound

This paper cites Everything you need to know about the JPEG-killing HEIF for- mat Apple is adopting,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Everything you need to know about the JPEG-killing HEIF for- mat Apple is adopting,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.841454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 825c6b4b-dc50-4128-a225-080019a1281f · outbound

This paper cites Overview of the high efﬁciency video coding (hevc) standard,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Overview of the high efﬁciency video coding (hevc) standard,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.830292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6dc9810c-e201-40df-9615-075e410a87b8 · outbound

This paper cites Progressive neural architecture search,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Progressive neural architecture search,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.819832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a83d120a-c6e8-40e7-a72e-eeadc53d64ee · outbound

This paper cites Exploring Randomly Wired Neural Networks for Image Recognition.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Exploring Randomly Wired Neural Networks for Image Recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T12:57:32.720143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb124ca-2da1-44cc-a3dc-37890fe26e15 · outbound

This paper cites Benchmarking state-of-the-art deep learning software tools,.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks Benchmarking state-of-the-art deep learning software tools,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:57:32.809292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e449df3e-10a0-453c-af53-8ddfdfc522a8 · outbound

This paper cites FiFTy: Large-scale File Fragment Type Identification using Neural Networks.

FiFTy: Large-scale File Fragment Type Identification using Neural Networks FiFTy: Large-scale File Fragment Type Identification using Neural Networks

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T12:57:32.777483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation e449df3e-10a0-453c-af53-8ddfdfc522a8 · inbound