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Paper Citation Record · LEDGER

Linearity-based neural network compression

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:38.978342Z digest=sha256:1359fb5770736b10349e89df3db669be5d9a197d0bd6f8af81330eaa894bc66a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.071460Z digest=sha256:5f569b5eefe60b636f33dd481b3c986b5979766e8966474bb9fca705ce321a05

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.146592Z digest=sha256:da8f9713319c8b0cef86e503d670800c770f1eb7320f34c6819fdbafa446e723

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.246238Z digest=sha256:e313e8a38f599240fb3bce6bc407e9385e44c11537db508258653892e34aa7be

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.338321Z digest=sha256:a29464cf64a9775dcbc9e34b6ed5eec15aea26b09df9fb9853274841c3948254

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.417066Z digest=sha256:dc66bdff1dbb7dfc292d327d2c528567ba09b36514f8029cc91f30e1ff284e0f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.480632Z digest=sha256:b0b067ccca8ef73893e998d1d7a36f2f53e6e7e9ff85c6f1f65e1096c51e236a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.533423Z digest=sha256:5e94454f198474be86f5208e06f0c96f731e473edd2e1d1d3cdc37e810020709

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.593996Z digest=sha256:135df91103edb5c9e60f151936b49d0c652b860398e0bcfa12bf949a43566317

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.657348Z digest=sha256:d701263c9d59e781d8365c5550c2363301e8d897091f112169e6e5ba1b56a0b9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.720562Z digest=sha256:b74f2fda0dff4d7bb05c9c1167507e420536eea9c5263c9eed282e3758aab054

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.769122Z digest=sha256:d403cb7621817cad0b7d07a65535718d32d9cb8b4e5dc3ea0b67f9ce8df41858

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:39.878685Z digest=sha256:a01d1b820d40f9b111b54dd1aaa58a96f67ca480ba7bd13e2c4032971d64d3cb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.032275Z digest=sha256:aaeaf58e98ddce602658dd03ca0f9e712c3a17d926d0005ca74974da2e60aa86

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.168109Z digest=sha256:c3035c844f2dd83206cc758679a43634251c53cb0a26f2d9544259b6adece273

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.327083Z digest=sha256:3d1c66a6b353317057749ac93e9a0576734dc71618e99002ed60c87ddf14677b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.480208Z digest=sha256:57c7ff66de90d17d99f36592ff00b26800df33833f4c514b904f6ad96e631086

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:37:40.812654Z digest=sha256:26414fcc29969c94c13d49aa5de65d249099fba2625e6762d1d893e64c37f1eb

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.