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Paper Citation Record · LEDGER

Opt.Gear Technical Report

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2608.01034.

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

pith.paper-citation-record.v1
2608.01034 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:40:42.454078Z

measured 52 of 52 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

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26254f2f-6208-40fb-a20f-af95781bd4ee · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Opt.Gear Technical Report GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:40:38.019213Z digest=sha256:b5348fbf6037bd1eeaa6067558a670cac809d5ca244355e873feff0bd7541b44

Observation 2f4195d7-0ee4-4257-8e6a-189714d90795 · outbound

This paper cites Paech, Paul Pak, Rom N.

Opt.Gear Technical Report Paech, Paul Pak, Rom N

Reference 2

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source=pdf_text observed=2026-08-06T00:40:38.085286Z digest=sha256:5bbca54bbff0f5b7876867dd3867fedb7c1b4abbc8a851d6d413d10fd9b29ae4

Observation db4c5e0c-4960-416a-bdf6-e46d7d64c679 · outbound

This paper cites an unresolved cited work.

Opt.Gear Technical Report Unresolved cited work

Reference 3

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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=pdf_text observed=2026-08-06T00:40:38.127831Z digest=sha256:bdc78338b6accd38e3037816daf72860fbc7bd186074549e30c96fa57d185d92

Observation 49eda807-5519-48ec-b724-b436b30dad8b · outbound

This paper cites Core ml tools.https://github.com/apple/coremltools.

Opt.Gear Technical Report Core ml tools.https://github.com/apple/coremltools

Reference 4

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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.

source=pdf_text observed=2026-08-06T00:40:38.186985Z digest=sha256:e1e7d97b995203c295f8c49fce3a0d50c2616d744a0aaf6bd82b1481ac613463

Observation d932d690-ee40-467c-aa46-1414676f33bb · outbound

This paper cites Exaone 4.0: Unified large language models integrating non-reasoning and reasoning modes, 2026.

Opt.Gear Technical Report Exaone 4.0: Unified large language models integrating non-reasoning and reasoning modes, 2026

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.269476Z digest=sha256:ddce8eeac62976dbf6a5a68993cad3dfc403062b4a5db23c839fbce1602ce24d

Observation 5ead73c5-7807-49a4-bcdb-d578962e5ea4 · outbound

This paper cites PIQA: reasoning about physical commonsense in natural language.

Opt.Gear Technical Report PIQA: reasoning about physical commonsense in natural language

Reference 6

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no resolver link, observed 2026-08-06T00:40:38.333365Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:40:38.333365Z digest=sha256:6300101266b044e17f06af852214c52031c272b70540da79e0d3a3ad1d25c8e4

Observation f8727d1d-dc1d-470a-b2bc-7fd2a455bc4f · outbound

This paper cites Generating long sequences with sparse transformers,.

Opt.Gear Technical Report Generating long sequences with sparse transformers,

Reference 7

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no resolver link, observed 2026-08-06T00:40:38.412592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.412592Z digest=sha256:cdd2919a97d461138e2779231b81a79c260e8bc3e0445b67d79f212dab3a54a2

Observation 2bed0ca4-d95c-48d8-8461-6e7bd958fee2 · outbound

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

Opt.Gear Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

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no resolver link, observed 2026-08-06T00:40:38.533077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.533077Z digest=sha256:45d5ac786bc818fdbeeeddec4b4edbe3423ebc0f9edcf6021a93c0b2af39b40f

Observation a61c791f-5969-4960-b805-85b045b497fd · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Opt.Gear Technical Report Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 9

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no resolver link, observed 2026-08-06T00:40:38.593589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.593589Z digest=sha256:6278b763ea1cc6a947dbd9dbf917332b4333afb17af5db3c99306e077a9b508b

Observation a09046c1-03fd-451d-91a8-f87589e196ff · outbound

This paper cites Scaling Vision Transformers to 22 Billion Parameters.

Opt.Gear Technical Report Scaling Vision Transformers to 22 Billion Parameters

Reference 10

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no resolver link, observed 2026-08-06T00:40:38.653520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.653520Z digest=sha256:d4c56ea36f4ce9a2b7b018e95d4cf13713cbb9285833a7840328f88b6a1d6c4f

Observation a211fb2b-3085-45b4-8bf1-583eef5a886f · outbound

This paper cites Learned Step Size Quantization.

Opt.Gear Technical Report Learned Step Size Quantization

Reference 11

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no resolver link, observed 2026-08-06T00:40:38.734813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.734813Z digest=sha256:0bcd3da0a55c919f0971a4bf7a43ca2e5e5a3100ac3a3a44c7a84ea993c05d86

Observation 129b9143-8edd-44b0-9ab5-1b7282e9ab6c · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Opt.Gear Technical Report GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 12

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no resolver link, observed 2026-08-06T00:40:38.814115Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.814115Z digest=sha256:29c39de32138e8a0a0a489ecfbcf5d77769b7c4fc51e383167e65d3671fc9211

Observation f4e51269-2a07-46dd-8bab-2a1e0167b965 · outbound

This paper cites The language model evaluation harness, 07 2024.

Opt.Gear Technical Report The language model evaluation harness, 07 2024

Reference 13

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no resolver link, observed 2026-08-06T00:40:38.871473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.871473Z digest=sha256:20cd2d11bb1369fc440ae603f63751229b91840cc07b7870c54b97d47c820eb8

Observation 7eb2464a-6bf5-47b2-afee-1fa374100af3 · outbound

This paper cites How to train long-context language models (effectively), 2025.

Opt.Gear Technical Report How to train long-context language models (effectively), 2025

Reference 14

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no resolver link, observed 2026-08-06T00:40:38.933822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:38.933822Z digest=sha256:7431c9419d3b7c35e97e42437b6db5a585804f9829ea2d5c8a8d31b6cdd4fab4

Observation e693ea16-a732-4743-b279-04c151e82643 · outbound

This paper cites llama.cpp.https://github.com/ggml-org/llama.cpp, 2023.

Opt.Gear Technical Report llama.cpp.https://github.com/ggml-org/llama.cpp, 2023

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T00:40:45.865875Z

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=pdf_text observed=2026-08-06T00:40:38.994194Z digest=sha256:223440f71e0635d8f22c85e5f657293b0d8062780ed2db1db4fc54552020a07d

Observation 1d5c526f-1a3f-480d-be16-aadcdf8079e1 · outbound

This paper cites The Llama 3 Herd of Models.

Opt.Gear Technical Report The Llama 3 Herd of Models

Reference 16

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no resolver link, observed 2026-08-06T00:40:39.040476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:39.040476Z digest=sha256:16c4056697cecdeafb36dce82eccf24962d3257ce5eb73c98687a8db56bbdefb

Observation 61e50499-6a48-40b6-9bca-536dacbd0b57 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Opt.Gear Technical Report Measuring Massive Multitask Language Understanding

Reference 17

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no resolver link, observed 2026-08-06T00:40:39.090330Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:39.090330Z digest=sha256:55170183be2dbac1a16a01c0c8b1cb0f5b07da9fa40857935819d57ab549da46

Observation e29d8689-ee60-4871-a7df-4f6d9cbe0f64 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Opt.Gear Technical Report Distilling the Knowledge in a Neural Network

Reference 18

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no resolver link, observed 2026-08-06T00:40:39.170029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:39.170029Z digest=sha256:0b68ddae51285d30a9ab8284750aeabbc7dfddf16b15c72813abdb8c117b11af

Observation 8baf06ec-6f06-4843-a1ec-a116e16e44c4 · outbound

This paper cites nanotron.https://github.com/huggingface/nanotron, 2024.

Opt.Gear Technical Report nanotron.https://github.com/huggingface/nanotron, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:45.599027Z

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=pdf_text observed=2026-08-06T00:40:39.223713Z digest=sha256:63a1f329bf6191b3255ae6dd749cb91cda4c77a2f34ac12bc80def17f7a82bae

Observation 61c835e7-493a-4a0c-ade6-381417594b78 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

Opt.Gear Technical Report Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:45.358714Z

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=pdf_text observed=2026-08-06T00:40:39.315215Z digest=sha256:9dfb7a031ef9427ae05998a4b29a49bcde5f50533c1b9d91c0461fd0c974b1c4

Observation 1567ab7a-6066-40fa-88d8-ec1db6f1d13e · outbound

This paper cites KOBEST: Korean Balanced Evaluation of Significant Tasks.

Opt.Gear Technical Report KOBEST: Korean Balanced Evaluation of Significant Tasks

Reference 21

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verified exact
local_arxiv, observed 2026-08-06T00:40:43.165120Z

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=pdf_text observed=2026-08-06T00:40:39.472885Z digest=sha256:a48812396c39f3a22890fa6a2469717f6f06a13a510f83279eb391955ea059b3

Observation 12760d5d-05da-4aa5-b0f3-5656c2a52b22 · outbound

This paper cites CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean.

Opt.Gear Technical Report CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean

Reference 22

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no resolver link, observed 2026-08-06T00:40:39.536784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:39.536784Z digest=sha256:b470d2d96ac11fd4b6ff4a569d55ad690fa11baf7023d1e269e26270aad0db45

Observation 2ae952a5-60a9-4096-a321-d261c3191a48 · outbound

This paper cites Kormo: Korean open reasoning model for everyone, 2025.

Opt.Gear Technical Report Kormo: Korean open reasoning model for everyone, 2025

Reference 23

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verified exact
raw_fallback, observed 2026-08-06T00:40:42.895111Z

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=pdf_text observed=2026-08-06T00:40:39.566528Z digest=sha256:7409f306cd4e046b4c6a80cde3a45f35e4a26fbda5f2ef8f5a1aacaee336dadb

Observation 495fe7a6-70ef-4dee-8735-841557feabad · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Opt.Gear Technical Report Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 24

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no resolver link, observed 2026-08-06T00:40:39.569435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:39.569435Z digest=sha256:f41830a1a6b868d94b8ac5f313255873ff7e8f65110db71c551d09717d503c66

Observation 86c9e491-ef4a-4fab-b37f-7eafb40bfd39 · outbound

This paper cites Awq: Activation-aware weight quantization for llm compression and acceleration,.

Opt.Gear Technical Report Awq: Activation-aware weight quantization for llm compression and acceleration,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T00:40:45.194412Z

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=pdf_text observed=2026-08-06T00:40:39.613669Z digest=sha256:c9326f758c9f34239bfcd41a7f05e5c79c9030dc2e15a78fe7d25d26480c53d8

Observation 34715b5d-ba39-4436-b4ec-e25a392bf696 · outbound

This paper cites Decoupled Weight Decay Regularization.

Opt.Gear Technical Report Decoupled Weight Decay Regularization

Reference 26

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no resolver link, observed 2026-08-06T00:40:39.734993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:39.734993Z digest=sha256:022825fecd199b4a70036df1b47b5eb666c2aa3f8f309e560602cf0a4f0ee0a4

Observation 9f2d2f49-4d09-4560-913a-ab135588f2b1 · outbound

This paper cites NVIDIAH200tensorcoreGPU,2024.

Opt.Gear Technical Report NVIDIAH200tensorcoreGPU,2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:44.980104Z

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=pdf_text observed=2026-08-06T00:40:39.819877Z digest=sha256:282048ae2b6e86593986136326ad65c8dc3a389754d9e96ba3e39aaa20284e0b

Observation 5c85173f-959b-4ccc-a867-c8bc83030d6c · outbound

This paper cites Nemotron-h: A family of accurate and efficient hybrid mamba-transformer models,.

Opt.Gear Technical Report Nemotron-h: A family of accurate and efficient hybrid mamba-transformer models,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:44.716747Z

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=pdf_text observed=2026-08-06T00:40:39.933198Z digest=sha256:722a4fe44538fa42d035711901e8dab04c144993c11bd29675c3ef45e4a485b5

Observation 1386fefd-747f-42c1-9bf9-59b583fa4382 · outbound

This paper cites Qualcomm ai engine direct.

Opt.Gear Technical Report Qualcomm ai engine direct

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:44.423595Z

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=pdf_text observed=2026-08-06T00:40:40.118096Z digest=sha256:8437fe5bf57996c1e6f00d4486b04546f81208ee4dc325acd8ce098129701b17

Observation 5f706c30-b203-4736-85c8-4164f6cb7872 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Opt.Gear Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 30

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no resolver link, observed 2026-08-06T00:40:40.190491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:40.190491Z digest=sha256:c24a62cdb28c8dc9bd41b8ab1642ca070be9e31da81abb5c5e559b6c498a4e5a

Observation b1c2bde4-749b-4fae-8574-9659f9edce52 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Opt.Gear Technical Report WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 31

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unresolved
no resolver link, observed 2026-08-06T00:40:40.245964Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:40.245964Z digest=sha256:0a82c365afc5912402d03420207393f2ead43ebed5d4d145be5422aee0ec867d

Observation 9603918e-329c-487f-a07c-b96d1d0e9aa2 · outbound

This paper cites Neural machine translation of rare words with subword units,.

Opt.Gear Technical Report Neural machine translation of rare words with subword units,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:44.202901Z

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=pdf_text observed=2026-08-06T00:40:40.389754Z digest=sha256:af668e4d93dc505c8fd8a5af3068f36c5dd578c9984b7a64cf5a789671497880

Observation d4c912bb-1b28-4f33-bbc6-9feccd4befd3 · outbound

This paper cites GLU Variants Improve Transformer.

Opt.Gear Technical Report GLU Variants Improve Transformer

Reference 33

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unresolved
no resolver link, observed 2026-08-06T00:40:40.599281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:40.599281Z digest=sha256:1e76a4f02b799f1112432faa8bfcf3156ce6e259b72468f1ebcbcddacf8b23f1

Observation 9756f803-6b06-46fc-81c6-97b62929fa36 · outbound

This paper cites Kmmlu: Measuring massive multitask language understanding in korean,.

Opt.Gear Technical Report Kmmlu: Measuring massive multitask language understanding in korean,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:44.090483Z

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=pdf_text observed=2026-08-06T00:40:40.768124Z digest=sha256:69ecba2e59bbc2175d0e46e8c3185c7f42affd2618166de173eaa9fb3421c229

Observation f4ce0ec8-1431-40e9-8312-6fd4ff5b33e0 · outbound

This paper cites HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models.

Opt.Gear Technical Report HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models

Reference 35

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unresolved
no resolver link, observed 2026-08-06T00:40:41.046534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:41.046534Z digest=sha256:b354de3f1d321fb2dfb4ae73287ed8c6e153f583105592dc927472db0e1b47d5

Observation 36e3fe84-11fc-4c0f-934e-08e856b343d8 · outbound

This paper cites Stm neural network deployment framework.https://stm32ai.st.com/stm32-cube-ai/.

Opt.Gear Technical Report Stm neural network deployment framework.https://stm32ai.st.com/stm32-cube-ai/

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:40:43.825657Z

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=pdf_text observed=2026-08-06T00:40:41.149824Z digest=sha256:25bf0511003224f8824f67c24275aff0c9956e9b6378ff54aad49f5872df9583

Observation a1b1f3c2-124b-4e57-b821-d5c4e3e33ed7 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Opt.Gear Technical Report RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 37

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unresolved
no resolver link, observed 2026-08-06T00:40:41.270369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:41.270369Z digest=sha256:343a821ad4e91a4ab010ff0f31463c982f5c539fb2e80b788c4980cfe5642f04

Observation 648a2b45-44fa-4ffd-b692-b708e2fcf041 · outbound

This paper cites Gemma 3 Technical Report.

Opt.Gear Technical Report Gemma 3 Technical Report

Reference 38

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unresolved
no resolver link, observed 2026-08-06T00:40:41.373707Z

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Observation d9e68187-39e5-4773-9534-c587381be35c · outbound

This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.

Opt.Gear Technical Report Kimi Linear: An Expressive, Efficient Attention Architecture

Reference 39

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Observation cd9c3415-c91d-4683-9c51-2e8a379a6f25 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Opt.Gear Technical Report An Empirical Study of Mamba-based Language Models

Reference 40

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Observation 138c3787-3c23-4729-90aa-28fde24182bd · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Opt.Gear Technical Report MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 41

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Observation f66a204f-be3f-4973-bdda-e35a0c85edd1 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Opt.Gear Technical Report HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 42

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source=pdf_text observed=2026-08-06T00:40:42.089130Z digest=sha256:728011041f8cd72593f9f232c1acf9a5efe46fe862a855a2e2c61e7f83964c1a

Observation a9b2fff2-02c7-4949-a467-b000fc3062e1 · outbound

This paper cites Qwen3 Technical Report.

Opt.Gear Technical Report Qwen3 Technical Report

Reference 43

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source=pdf_text observed=2026-08-06T00:40:42.201123Z digest=sha256:635d5951acc6f629d4ac630928c9bc293b1e62f5e48ec198b07f4d83785b02d8

Observation 1fe68431-eed4-4653-a4eb-de2f2def4143 · outbound

This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.

Opt.Gear Technical Report Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 44

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source=pdf_text observed=2026-08-06T00:40:42.308311Z digest=sha256:cbff3a10a12e6f5287caa29fc87f65a6ee5027fba15b3b22ec9f8f9ccfe1e57d

Observation 9f30c5f3-1fb6-4472-8126-e7ce292b71fe · outbound

This paper cites an unresolved cited work.

Opt.Gear Technical Report Unresolved cited work

Reference 45

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Observation 42c24c00-48e1-4682-bad4-2674cfa00e19 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Opt.Gear Technical Report MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 48

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source=pdf_text observed=2026-08-06T00:40:41.883305Z digest=sha256:394d255b5a46c12076ac93d99258e52fe64f851d61d5a6e7fbad07d064f5f1b7

Observation 13fc859e-fde7-47dd-81a0-4a48dada7752 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Opt.Gear Technical Report Neural Machine Translation of Rare Words with Subword Units

Reference 2016

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source=pdf_text observed=2026-08-06T00:40:40.497194Z digest=sha256:8e6f1f5f3afc3e37ec9f3bfb984f904dd9753b8a3382d85be27eeae84f27b2a2

Observation 54ba9700-648a-42ac-88ad-dce3c3af0f3c · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

Opt.Gear Technical Report Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Reference 2017

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source=pdf_text observed=2026-08-06T00:40:39.362349Z digest=sha256:2b9c424f604363955f62b76fe3acb54a627864ff96cb917f7c02859b306093cb

Observation 10e8a21b-340b-46c6-8e92-b619f0f359e6 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Opt.Gear Technical Report Generating Long Sequences with Sparse Transformers

Reference 2019

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source=pdf_text observed=2026-08-06T00:40:38.452513Z digest=sha256:618fbdef0ed97e5c443fcc264856d65ddb8d4bfb1648ef3305532c585e80e449

Observation effd9e86-44ed-4cbc-9d56-4231edeef1c1 · outbound

This paper cites KMMLU: Measuring Massive Multitask Language Understanding in Korean.

Opt.Gear Technical Report KMMLU: Measuring Massive Multitask Language Understanding in Korean

Reference 2024

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source=pdf_text observed=2026-08-06T00:40:40.947491Z digest=sha256:4c3f3b6cbaada3c63ea4774e5869038aca5c0994c289b4d3dd1802883224f17d

Observation 080a09ab-e8a6-47a6-86e6-0ccf7b646661 · outbound

This paper cites Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models.

Opt.Gear Technical Report Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

Reference 2025

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source=pdf_text observed=2026-08-06T00:40:40.028368Z digest=sha256:637fac81eaa1c9573b46c93fe8c3a80d0874c1aae09eb82b6c11553816fcb2d0

Observation 3e006c11-1cc5-4c73-9543-407fb53a993a · outbound

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

Opt.Gear Technical Report AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.