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Paper Citation Record · LEDGER

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2502.06844.

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

pith.paper-citation-record.v1
2502.06844 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:37:02.597268Z

measured 49 of 49 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

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c65ba837-35b7-45bd-8502-184e47ceab6a · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Deep Learning using Rectified Linear Units (ReLU)

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.430795Z digest=sha256:36937e1632af86604f20472a5abf4a3d56fea7ab0fa205ef5c626bc6b6832a09

Observation 14b132ac-6800-4e4d-9c34-41054d008c90 · outbound

This paper cites Ashkboos, A.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Ashkboos, A

Reference 2

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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=2026-08-08T22:37:02.435555Z digest=sha256:7f7027947272d4d32395e98dab6f7828593c9b97a02deabe4421dce253b13a5e

Observation 1ae8d4ae-77e4-4c7a-a9d3-08d786402d1a · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 3

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source=arxiv_source observed=2026-08-08T22:37:02.439620Z digest=sha256:83e6784da0e74c2f42a0d83516e24b0d243d1081fe34385edf46df2b391339c0

Observation 7e9829aa-33c2-4394-808b-8b1973543fee · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 4

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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.

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Observation 7b6228ef-6a3c-42c5-925c-3c88c7e82bf1 · outbound

This paper cites Clark, K.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Clark, K

Reference 5

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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=2026-08-08T22:37:02.447449Z digest=sha256:9a0b810baca78072becbce095f8c40333fa4148320e9436786ebc62c4424eba8

Observation 32591800-46c8-4215-a248-4dca85881c39 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T22:37:02.451136Z digest=sha256:30ba4ae35b2d3e22d5a41762884764e0804b8a2bb5a13fed7ac24fe1624651f4

Observation 4a0bbb90-55d0-441f-a4f3-e2bcd5172699 · outbound

This paper cites Courbariaux, Y.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Courbariaux, Y

Reference 7

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raw_fallback, observed 2026-08-08T22:37:03.275341Z

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=2026-08-08T22:37:02.455149Z digest=sha256:6b5a1907f4bfc1fe6292e762cfd87956020bacf01066596b129c3f7c7e419461

Observation fc7b6572-c6c8-4eb5-9643-19c5010a5dfc · outbound

This paper cites Dettmers, M.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Dettmers, M

Reference 8

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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=2026-08-08T22:37:02.458502Z digest=sha256:aed19122832d67625ba37c7a92c199b4a3b408ac024ee93f39e7d470d811c17d

Observation 3d8dc457-9435-4002-999e-7e25843c2dea · outbound

This paper cites Dodge, M.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Dodge, M

Reference 9

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raw_fallback, observed 2026-08-08T22:37:03.255159Z

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=2026-08-08T22:37:02.461933Z digest=sha256:6680d87ec9f3b086eb94ffb840f267f7fb2bcbfb2a8d40c567b8a2aa5d810970

Observation f5ec0aec-7ca5-405c-981a-d06e287b8f72 · outbound

This paper cites The Llama 3 Herd of Models.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization The Llama 3 Herd of Models

Reference 10

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source=arxiv_source observed=2026-08-08T22:37:02.465272Z digest=sha256:48388908c44493a8b7cdaeb7710ef3de422d20327314c064192ff3cd3d2899bf

Observation cd793f02-3d44-44b0-9f34-6b05e18c6812 · outbound

This paper cites Egiazarian, A.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Egiazarian, A

Reference 11

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T22:37:02.469041Z digest=sha256:2e128455648d040a07c72f710edb0dab9613f841241e257a1b348ccd192ccfc3

Observation 04630a07-b377-45b7-93b4-49393f0f8b7b · outbound

This paper cites Frantar and D.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Frantar and D

Reference 12

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raw_fallback, observed 2026-08-08T22:37:03.234186Z

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=2026-08-08T22:37:02.472275Z digest=sha256:f364876ec5266b83dbd9b9b7dd6901b6694136655e73e09622a5e3d0f072fb65

Observation da3ab7d4-7039-4d84-9d9e-bc10e08c4a65 · outbound

This paper cites Frantar, S.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Frantar, S

Reference 13

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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=2026-08-08T22:37:02.475415Z digest=sha256:35a1444ac08f20efaa97207db2be675a6b37fc9076a3480726f92f7601178966

Observation 2f8d1457-9aaa-4010-83b9-1eee2494f2f1 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 14

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source=arxiv_source observed=2026-08-08T22:37:02.478435Z digest=sha256:10f6b75fbd1ada7a36c9d3df835b8fa98c6487d23de42f10d77f6308944aa8f7

Observation 12222fb7-c91b-47a4-9832-3277cae0f4c2 · outbound

This paper cites Goldberg.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Goldberg

Reference 15

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source=arxiv_source observed=2026-08-08T22:37:02.481984Z digest=sha256:8bdbd2562d905067137490212be0d82ba8cea35e4fe15049a552ffdef08f6276

Observation d5b06b5b-9230-48dd-94ed-758a5cda2df2 · outbound

This paper cites Compressing Deep Convolutional Networks using Vector Quantization.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Compressing Deep Convolutional Networks using Vector Quantization

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.485128Z digest=sha256:46b77f2fb0f7976f85da87d4d0a2bc0e2ae319a21133dfb04d9e09047b39dfa8

Observation 67e1d032-426a-458c-bcef-03ecff5a0e3a · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 17

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verified exact
raw_fallback, observed 2026-08-08T22:37:02.878641Z

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=2026-08-08T22:37:02.488601Z digest=sha256:c32489bf2080e885700b37ab6a6aaf19461604264a1fa5ef56f650edf5036e6e

Observation ec99f1f3-b54a-4b3b-927f-981081d3cfab · outbound

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

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 18

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source=arxiv_source observed=2026-08-08T22:37:02.491730Z digest=sha256:6cdb5584d4824e65d70fc4233e0a0965db2a61dcd9247812318c77d7d6e96785

Observation 9b08eb72-d0c8-4095-8835-23faa33e0757 · outbound

This paper cites Hassibi, D.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Hassibi, D

Reference 19

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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=2026-08-08T22:37:02.495482Z digest=sha256:15d66a184fd9c64943d72319bcdcd0e13bc1ca29f317e114e64ef91a92eaa91b

Observation 9b6dc61a-5b28-47a1-bc1f-3cec7de4dd11 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T22:37:02.498991Z digest=sha256:9784dc7ffb5ed700f05267f61e1ade47ede14504ad32ac94de959c538a67f207

Observation 43e5e2dc-32c4-462c-bd27-2422fe6482c6 · outbound

This paper cites IEEE standard for floating-point arithmetic.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization IEEE standard for floating-point arithmetic

Reference 21

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source=arxiv_source observed=2026-08-08T22:37:02.502191Z digest=sha256:f09928f59940aba35d1adacccf30ff46ebd5165f09f00b030cf1c0db34472554

Observation 7c60da31-5f94-4f44-b39d-d48ae752077b · outbound

This paper cites Jacob, S.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Jacob, S

Reference 22

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raw_fallback, observed 2026-08-08T22:37:03.196863Z

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=2026-08-08T22:37:02.505515Z digest=sha256:3fe624bd3930574f2b8f085b856913574e19184454bce1cca9399ad6220c0107

Observation 0fb6b5c4-6f33-44e0-83d9-57c14ece3337 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-08T22:37:02.508731Z digest=sha256:2271c1a2ff2fe43cf60a5d0fccb428c5f74bc4d2a7ec31af1961682b60a2937f

Observation d84c6f78-5e05-4f5a-b5f6-29ee8a11b5f6 · outbound

This paper cites K\" o ster, T.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization K\" o ster, T

Reference 24

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raw_fallback, observed 2026-08-08T22:37:03.177532Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T22:37:02.512866Z digest=sha256:dc4004ae362de439766b217561571b0c736ac37b0bcd23aff91bf265cff15896

Observation b9b02a7a-cd4d-43f6-8bcb-f0b2527fbceb · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 25

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source=arxiv_source observed=2026-08-08T22:37:02.516048Z digest=sha256:8a6e6f822f593f14e8ddbcea66007e94de910d872245efcafc20b64b24229c26

Observation 77fd713c-b757-4ed0-a0df-450a210fa962 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T22:37:02.519462Z digest=sha256:5efa09b9c9b4ee76af469bf43d23795357d3ee32f0df1938b51b8d295e6d546c

Observation 9ef3e759-e5bf-41e9-818d-a55acd7ebedd · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T22:37:02.523645Z digest=sha256:6b8d28434af4b607c91c76ae1731ee2bef278773cd6a930ce01e528b4a7e3c56

Observation 9fb3b03a-156a-4eb3-b9b6-618a0d394c6b · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 28

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source=arxiv_source observed=2026-08-08T22:37:02.526798Z digest=sha256:e094cd6e788d210d006635d2d2e125fc4850bcafcbc87522bffe96e8f0e0ce70

Observation fa3db861-59ee-4c77-8468-6f861c36ff60 · outbound

This paper cites Neural Networks with Few Multiplications.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Neural Networks with Few Multiplications

Reference 29

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source=arxiv_source observed=2026-08-08T22:37:02.530378Z digest=sha256:e8113e49bd7940af96de498993e4a32d5d3280b4f45b2eb9684cd6b6eef73f10

Observation 9db1fd70-d777-49a4-b088-9f9395150d99 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-08T22:37:03.146891Z

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=2026-08-08T22:37:02.533865Z digest=sha256:b47148bcd0693de22597aaa320842d96818ddf11b2d2ca6dd1515b32a06fdc99

Observation a99f0e1d-47ae-4eff-a60e-40757ad5a921 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization SpinQuant: LLM quantization with learned rotations

Reference 31

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no resolver link, observed 2026-08-08T22:37:02.537146Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.537146Z digest=sha256:acf3d33cd39171ed24c3bd229fedf8813c791e66497d0fbf72da9a848226554b

Observation f7d5c57c-01ef-4e0f-ba84-b4c30631ca1c · outbound

This paper cites Merity, C.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Merity, C

Reference 32

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raw_fallback, observed 2026-08-08T22:37:03.136674Z

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=2026-08-08T22:37:02.540727Z digest=sha256:102144dde07865dc3ac9b8dc8beaf92e1a7e2239b267c41be315b806bfbb1095

Observation 0788837a-99e2-493a-9a95-66b3488820fa · outbound

This paper cites Micikevicius, S.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Micikevicius, S

Reference 33

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raw_fallback, observed 2026-08-08T22:37:03.127315Z

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=2026-08-08T22:37:02.543871Z digest=sha256:75b3bc83ae0062e6bca1aa40c0acc03c79da3b593d25f12b1d5273d11ce3ddf0

Observation 4f3f04d9-d43d-4f9d-b356-81970b416196 · outbound

This paper cites Introducing C hat GPT , 2022.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Introducing C hat GPT , 2022

Reference 34

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raw_fallback, observed 2026-08-08T22:37:03.116812Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T22:37:02.547149Z digest=sha256:18823129fa3a72265150c0217986f4bf6ea0b35e673f29c0eea8b20844ff5d35

Observation 6567c9b4-85fe-4ec7-803f-98a3874c91f4 · outbound

This paper cites Sakaguchi, R.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Sakaguchi, R

Reference 35

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raw_fallback, observed 2026-08-08T22:37:03.106119Z

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=2026-08-08T22:37:02.550661Z digest=sha256:7b6f7de906dd6ef1e41c03a3db099ac829c4e7ef1af5dc9c3e314d432a4a473f

Observation 640470b4-15fa-431e-8337-9180ba60deb6 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 36

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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=2026-08-08T22:37:02.553868Z digest=sha256:3a702c5cfd3ee1d6db84c194df02bca7acf4b1fd6b7a1b0af1ec15cc33377ce2

Observation 9407feea-1ed7-4200-a702-539fd8c938f1 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-08T22:37:03.087342Z

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.

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Observation dccde52e-5f8d-4204-b430-e9580adac3c1 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:37:03.076088Z

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.

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Observation 49e4a034-0eed-478b-90ae-ee2044b38de6 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:37:03.066788Z

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.

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Observation 37411c6c-fba1-4302-a5b2-a42430eb285e · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:37:03.057232Z

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.

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Observation becf0a7b-fb77-4fec-9f42-366966943666 · outbound

This paper cites Tseng, J.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Tseng, J

Reference 41

Resolution
verified fuzzy
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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.

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Observation 0828a627-ed93-4702-b18b-6d5faf03d5cf · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:37:03.037198Z

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.

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Observation c679bf5d-e6b9-4db7-9a72-b51c4ee78f44 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:37:03.027612Z

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=2026-08-08T22:37:02.576986Z digest=sha256:3fe2aa68e76a0d62740cc8d8d1ae9b9c911ad861a33385a9e64c4980643fd272

Observation 9fe6532d-b2bf-4128-b300-c6d16d6d1885 · outbound

This paper cites Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T22:37:02.580336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.580336Z digest=sha256:24d913ad7e5067dfeacdd7a4fcae5447222e602a9b06ba6c6947618a4cd9a253

Observation 73080929-b485-466f-9ce7-4366a3076967 · outbound

This paper cites an unresolved cited work.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:37:03.017571Z

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=2026-08-08T22:37:02.583942Z digest=sha256:9c9dc8c7fc81ff602306baee6a1412e4e2171a56d3537d76905fb55c24080eff

Observation d00b8fea-f7c7-4142-a4fa-5805dbb79238 · outbound

This paper cites RPTQ: Reorder-based Post-training Quantization for Large Language Models.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization RPTQ: Reorder-based Post-training Quantization for Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T22:37:02.587052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.587052Z digest=sha256:bd584b61bb4d8c0049ffa398cc1a927d0abf8e74e4b1aa3b5df425f7c5acca05

Observation 2c9b9e7b-98ae-4c72-8fcb-90c7079817a7 · outbound

This paper cites Zellers, A.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization Zellers, A

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:37:03.006665Z

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=2026-08-08T22:37:02.590522Z digest=sha256:55c0c80dcd7ec550f9ee0bc1897dc984268e1e48f7f9a767b725f930858380b4

Observation 717df575-05de-4a29-9edc-822355f7fd0a · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization OPT: Open Pre-trained Transformer Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T22:37:02.593877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.593877Z digest=sha256:f7011bf84aa5bb496fb313e2a1a698bffcbc4df51da6cbea0c1da9058c6b9e62

Observation e14a9ecd-5e5d-4187-8797-6be5ee1f9d95 · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T22:37:02.597268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:02.597268Z digest=sha256:acc848df3e13894a9d8d2b7aef0a31639fcab2cdfb483f62db20b5c0cc61df47

Pith citing papers

No inbound Pith citation observations are available.