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Paper Citation Record · LEDGER

Linearity-based neural network compression

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.21146.

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

pith.paper-citation-record.v1
2506.21146 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:37:41.040470Z

measured 22 of 22 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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5c99d2f-f33f-4cd2-8f67-3580aeeb4086 · outbound

This paper cites Howard , Menglong Zhu , Bo Chen , Dmitry Kalenichenko , and Hartwig Adam.

Linearity-based neural network compression Howard , Menglong Zhu , Bo Chen , Dmitry Kalenichenko , and Hartwig Adam

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:45.441053Z

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=arxiv_source observed=2026-08-06T22:37:38.978342Z digest=sha256:2addfce972081cd87ddccfcc5a90d497e496ea59d9f5e7651ad1c6244ff3ecce

Observation 4d461a64-aea4-40b6-ba34-4cd4719240af · outbound

This paper cites Campbell.

Linearity-based neural network compression Campbell

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:45.227013Z

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=arxiv_source observed=2026-08-06T22:37:39.071460Z digest=sha256:9d02fb0959df8700543711e302fc5215c2918e32fe47adbfcbbd442d125eab41

Observation d26be643-4f1a-411a-b962-6e06e4406e60 · outbound

This paper cites Mantovani, Jan N.

Linearity-based neural network compression Mantovani, Jan N

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:44.896651Z

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=arxiv_source observed=2026-08-06T22:37:39.146592Z digest=sha256:de185bc07530ec50bd2cc41bd8ef7a4865208fbd4a4c92333e4690045ed0e857

Observation 8eddef48-1061-4b9a-a822-b03823bdcaec · outbound

This paper cites an unresolved cited work.

Linearity-based neural network compression Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:37:44.660865Z

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=arxiv_source observed=2026-08-06T22:37:39.246238Z digest=sha256:2518a6e26c1d09158e7b043309bc3e578d55d24f8982a6413d8338f3f0729854

Observation 9893ed99-bfa3-4de9-90bb-4fcf7f791bcf · outbound

This paper cites Alsaadi, and Xiaohui Liu.

Linearity-based neural network compression Alsaadi, and Xiaohui Liu

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:44.423982Z

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=arxiv_source observed=2026-08-06T22:37:39.338321Z digest=sha256:fa84bd0048153b14a812f36d1f54f6ae9755b8afa709a1ee5fd9b9c9d0f81353

Observation 3ef8823c-e5c1-49c1-a0aa-36216218f56b · outbound

This paper cites Titanic - machine learning from disaster, 2012.

Linearity-based neural network compression Titanic - machine learning from disaster, 2012

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:44.216118Z

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=arxiv_source observed=2026-08-06T22:37:39.417066Z digest=sha256:cfabc8bfd3491f03557f9c71bfe722734af1bd9168d8cadd053116fe28c2bf72

Observation 92722467-6daf-4e35-ae45-9fcf00e4bf88 · outbound

This paper cites an unresolved cited work.

Linearity-based neural network compression Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:37:44.027884Z

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=arxiv_source observed=2026-08-06T22:37:39.480632Z digest=sha256:effe67bf82bea1cef6d22377af1809bba40beb3242db4da86615bbc71df618cd

Observation 97a2bd1d-bba6-496d-a2f6-5fc074b79483 · outbound

This paper cites Centripetal SGD for pruning very deep convolutional networks with complicated structure.

Linearity-based neural network compression Centripetal SGD for pruning very deep convolutional networks with complicated structure

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:43.831025Z

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=arxiv_source observed=2026-08-06T22:37:39.533423Z digest=sha256:ad5927ebe72b1c953a3cd8dfa39f4b01eb8b5c8a52bf7244b3314f18bb3f9996

Observation af4e2fac-6645-443e-a1f5-cbdbaa248abc · outbound

This paper cites an unresolved cited work.

Linearity-based neural network compression Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:37:43.616845Z

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=arxiv_source observed=2026-08-06T22:37:39.593996Z digest=sha256:566f040006ad2a6b13c77f46157117db1ef784472dbd506d7aff0a356aa0b506

Observation 35ea8cf3-22a4-46f8-9563-60bd52cf5d47 · outbound

This paper cites an unresolved cited work.

Linearity-based neural network compression Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:37:43.339433Z

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=arxiv_source observed=2026-08-06T22:37:39.657348Z digest=sha256:5c8ecaad90a50a555addca089a9f85fa4bc5b6235641d2e49cc20073f21fa4a4

Observation 3bee7197-b866-43f6-a3f8-c593d66f6146 · outbound

This paper cites Pruning filters for efficient convnets.

Linearity-based neural network compression Pruning filters for efficient convnets

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:43.173809Z

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=arxiv_source observed=2026-08-06T22:37:39.720562Z digest=sha256:cabac5e87c0d260820ecb7558697038f5672718876d843777e2454ff7fb92c01

Observation 04850800-d842-4609-bf6f-e74d723e7c16 · outbound

This paper cites Deep learning based method for pruning deep neural networks.

Linearity-based neural network compression Deep learning based method for pruning deep neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:43.022547Z

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=arxiv_source observed=2026-08-06T22:37:39.769122Z digest=sha256:e5dbed7a3ab1e841f4da62dc6d3dccfd38818e82fbcafc0b0985d6812c15badf

Observation f8dcc8a1-266f-44fc-b287-9f621ae65e5c · outbound

This paper cites Doermann.

Linearity-based neural network compression Doermann

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:42.702122Z

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=arxiv_source observed=2026-08-06T22:37:39.878685Z digest=sha256:6118ec04f280691a102d1a8975a8d2f4d50e03944d4bc9de6cf356a48f759087

Observation a360e031-f2ac-4f8d-bd36-30d7257bb621 · outbound

This paper cites Thinet: A filter level pruning method for deep neural network compression.

Linearity-based neural network compression Thinet: A filter level pruning method for deep neural network compression

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:42.408520Z

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=arxiv_source observed=2026-08-06T22:37:40.032275Z digest=sha256:158b5d8ea9bc6efcba31791e2092b9234aaed91bfee2cc4f4e7599190e1115a9

Observation ea74cbef-c768-473a-b9ef-217aca042632 · outbound

This paper cites Importance estimation for neural network pruning.

Linearity-based neural network compression Importance estimation for neural network pruning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:42.196839Z

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=arxiv_source observed=2026-08-06T22:37:40.168109Z digest=sha256:c7df18f69926e17f064c16040436710f194fa3c5bdfd5ad84a1b1eacc505a573

Observation 0384dae8-4bfb-4352-85b4-06ab0ec0bd07 · outbound

This paper cites Neural network compression by filter similarity detection and visualization.

Linearity-based neural network compression Neural network compression by filter similarity detection and visualization

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:41.906104Z

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=arxiv_source observed=2026-08-06T22:37:40.327083Z digest=sha256:09045eea3497ca6fd1e226d6ba9a83fc6d0459d63acdc14663ed78b41af3df7f

Observation 8a166838-e336-49ca-bf6a-edb395258085 · outbound

This paper cites An overview of neural network compression, 2020.

Linearity-based neural network compression An overview of neural network compression, 2020

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:41.666809Z

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=arxiv_source observed=2026-08-06T22:37:40.480208Z digest=sha256:5806183e6c8781ee9bbdd9e3d887f13a51e0828e291432cdbce4ae2b3fcfedf2

Observation 85e4dc18-251e-4e5f-be8f-944eb9d02abd · outbound

This paper cites MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Linearity-based neural network compression MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:40.629196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:37:40.629196Z digest=sha256:7e9734bcc05f98bb00a1b02f1873933ad6e5ad6740caa8eba34e02c8a7332c96

Observation 7b4cf869-1b56-4c7e-bf6d-618377bcb54c · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.

Linearity-based neural network compression Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:40.716197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:37:40.716197Z digest=sha256:be58f9172e3111bfef7adddc0de3532e090289018c998f3ec48069a2ff3fd54a

Observation 75730786-4ca2-48ec-8316-0ea152c4f87a · outbound

This paper cites Morariu, Xintong Han, Mingfei Gao, Ching - Yung Lin, and Larry S.

Linearity-based neural network compression Morariu, Xintong Han, Mingfei Gao, Ching - Yung Lin, and Larry S

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:37:41.404019Z

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=arxiv_source observed=2026-08-06T22:37:40.812654Z digest=sha256:da206da022e133f046c3c3af1e44d72d8b41575425743873c85eb67c67bcaaab

Observation ce82d98a-31aa-4e5d-9bae-cd5a34ff6ff0 · outbound

This paper cites , " * write output.state after.block = add.period write.

Linearity-based neural network compression , " * write output.state after.block = add.period write

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:40.932905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:37:40.932905Z digest=sha256:962e01f249f1c9a5a6e403d75942efc64c0fd530e2cd1dcd20e0f60225dd1ab3

Observation 23991673-ba63-428c-b44c-5758bd607f2a · outbound

This paper cites write newline.

Linearity-based neural network compression write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:41.040470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:37:41.040470Z digest=sha256:000539b057a48b51a6d51fb5df0f1e96aec4c0c36273bea0687ad8fd0b24531f

Pith citing papers

No inbound Pith citation observations are available.