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Paper Citation Record · LEDGER

Linearity-based neural network compression

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:38.978342Z digest=sha256:8db4cfaf53b4a8baba12e00b291fe5bf885b6530dd124bc31d1f0946a7bfcb24

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.071460Z digest=sha256:e1229843361545e07f3ae7de3dfac2fbf9758cc3f7c4650567f3ca33e6af4714

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.146592Z digest=sha256:184df3f1d2c60fdfb7a1524e2b6aca63445f336c2d279aaf6538d3d84c7a2c0c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.246238Z digest=sha256:fd7889419acdd3c60b22d96cd4c05bd2e45b322cdc30a738b36565f82a4f4596

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.338321Z digest=sha256:15000ea106f5538261b718d3b67c1eb908f4db5294d1784a3b8f2455a773490e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.417066Z digest=sha256:267cd2706e797a2ca6adbdb9e4cb7b5c489b550b02fc0aff312c4442ecfff836

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.480632Z digest=sha256:1028c054931bad2ca030d2b7fc5974029b038e0396fbf6e3abe7393559a1ff80

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.533423Z digest=sha256:1e11371eda7e041dd5aabf4b1b744ba5bac5dde013fa6848ab0d637ba91ef007

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.593996Z digest=sha256:ff51fe7ecf44bab6856d6fc8e3671a7f5845d55e0e0ba43f3d8bea07bf5625e7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.657348Z digest=sha256:a945aca9d3cd1d08a440fb2ef535a4dfdc945be430d0f200c1495b1714dbd883

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.720562Z digest=sha256:f381ee3e13628b333368af1fd39adbf7981bf90801c326739c455eec9ff4d24c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.769122Z digest=sha256:062ae97b77ec04e8a541988d69695ab6ba54e5641d77fd4315d35256b59c085b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.878685Z digest=sha256:6bbf09fbf5d846b2f3a497cb000d39d3124a0dc01cdb176583554a348617ff1d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.032275Z digest=sha256:a8c99e9cdf4157cf14ecf2d6946a89a0839b63b082f035c5f81d2148f7c5d6e1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.168109Z digest=sha256:701090ab40668fa3d1360be1bc4c1c137190b2f61d17bcc1f35d483253beb41d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.327083Z digest=sha256:bb1d1649b1cce74cdf5379e848fa7d5768a0b4a7e7379b9433edeec1e51cefb1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.480208Z digest=sha256:ca253c81c6b42f451a056edf485ea6b40804e111bbd464a781f06f9a005fe9a0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.812654Z digest=sha256:0cb426782a9731e482b2db68be8d671a6945ccb57d682d21c60b53d49fa0c234

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.